Literature DB >> 33025004

Social and affective neuroscience: an Australian perspective.

Fiona Kumfor1, Lincoln M Tracy2, Grace Wei1, Yu Chen3, Juan F Domínguez D4, Sarah Whittle5, Travis Wearne6, Michelle Kelly7.   

Abstract

While research in social and affective neuroscience has a long history, it is only in the last few decades that it has been truly established as an independent field of investigation. In the Australian region, despite having an even shorter history, this field of research is experiencing a dramatic rise. In this review, we present recent findings from a survey conducted on behalf of the Australasian Society for Social and Affective Neuroscience (AS4SAN) and from an analysis of the field to highlight contributions and strengths from our region (with a focus on Australia). Our results demonstrate that researchers in this field draw on a broad range of techniques, with the most common being behavioural experiments and neuropsychological assessment, as well as structural and functional magnetic resonance imaging. The Australian region has a particular strength in clinically driven research, evidenced by the types of populations under investigation, top cited papers from the region, and funding sources. We propose that the Australian region has potential to contribute to cross-cultural research and facilitating data sharing, and that improved links with international leaders will continue to strengthen this burgeoning field.
© The Author(s) 2020. Published by Oxford University Press.

Entities:  

Keywords:  affective neuroscience; social cognition; social cognitive neuroscience; social neuroscience

Mesh:

Year:  2020        PMID: 33025004      PMCID: PMC7647376          DOI: 10.1093/scan/nsaa133

Source DB:  PubMed          Journal:  Soc Cogn Affect Neurosci        ISSN: 1749-5016            Impact factor:   3.436


Introduction

The beginning of the fields of social neuroscience, affective neuroscience, and social cognitive neuroscience can be traced as far back as the case of Phineas Gage (1848) and work by Paul Broca (1878), James Papez (1937), and Paul MacLean (1949) on the limbic system. However, it is only in the last few decades that ‘social and affective neuroscience’, which encompasses the three aforementioned fields, has truly established itself as an area of enquiry in its own right. Publications from American and European perspectives have pointed to periods of growth in the 1990s in affective neuroscience (Singer, 2012) and the mid-1990s to early 2000s in social neuroscience (Lieberman, 2012). But as of yet, Australia’s contribution to this field has not been formally considered. In this paper, we review the history of social and affective neuroscience in Australia, report findings on the scope of current research and consider future challenges and opportunities in the region (Box 1 for a key to abbreviations and terminology used in this review). Abbreviations and terminology Note. Based on definitions from 1(Cacioppo and Decety, 2011); 2(Panksepp ); 3(Lieberman, 2007). In light of this growing field of study, and no local society dedicated to this field of research, the Australasian Society for Social and Affective Neuroscience (AS4SAN) was officially established on 23 September 2015 following a successful Australasian Social Neuroscience meeting held in Melbourne in March 2014. The AS4SAN is a non-profit organisation that aims to promote basic and applied research investigating social and affective behaviour across a wide range of different species using a variety of neuroscience and neuropsychological techniques. The AS4SAN views social and affective neuroscience as an interdisciplinary field devoted to the study of central and peripheral nervous system mechanisms (e.g. neural, hormonal, cellular, physiological, and genetic) underlying social and affective behaviour, in the context of both normal development and functioning and in clinical disorders. In addition to promoting research, the goals of AS4SAN are to: (i) encourage and support student and early career researcher endeavours in the area, at all levels of training; (ii) create contexts in which researchers at all levels of training can interact in both formal and informal ways, and in which interdisciplinary collaborations can be fostered; (iii) demonstrate the considerable applied value of this research area in clinical and community settings; (iv) engage in collaborative endeavours with community partners; and (v) ensure that the translational value of research in this broad area is communicated effectively to the public. While AS4SAN intends to represent the Australasian region (i.e. Australia, New Zealand, and Pacific Islands) with increasing ties with Asia, current membership and committee representatives are largely based in Australia. Therefore, here, we provide an Australian perspective on the history and current trends in social and affective neuroscience. Recent publications have reviewed the contributions of Europe and the United States to social and affective neuroscience (Lieberman, 2012; Singer, 2012). International societies have also been established to support these growing fields (e.g. Social and Affective Neuroscience Society https://socialaffectiveneuro.org/; The Society for Social Neuroscience https://www.s4sn.org/; and the European Society for Cognitive and Affective Neuroscience https://escaneurosci.eu/). However, the contributions of Australia have been largely overlooked in the literature. Moreover, recognition of regionally specific challenges and strengths of this region to the field is lacking. In 2018, the AS4SAN initiated a survey on social and affective neuroscience research, aimed to collect information about research currently being undertaken. We also examined the output of the region (publications from Australia vis-à-vis the international field) and the funding available for social and affective neuroscience, to better understand the current regional context. Our aim was two-fold: firstly, to highlight how Australia is contributing to social and affective neuroscience research from an international perspective and to identify potential strengths and weaknesses with respect to the other major regions worldwide. Secondly, to gain a better understanding of the types of research being conducted, the leaders in the field, the funding available and the level of productivity from a regional perspective. Provision of up to date and reliable data will be useful to help support researchers, as well as potentially lobby policy makers, industry and philanthropy by highlighting the significant and sizeable contributions of research in this area.

Methods

Survey

A survey was developed by authors FK, MK, and GW in consultation and review with members of the AS4SAN Committee during 2018. The final survey (Appendix) included 19 questions. These questions covered demographic information including age, gender, location, level of study, employment status, and current institution. Membership status and opinions on specific goals and plans for the AS4SAN were also gathered. The remaining questions focused on the area of research interest (population of study) and types of techniques or data collection methods employed. Potential respondents were contacted through the AS4SAN email list, AS4SAN Facebook page, the AS4SAN webpage, Twitter accounts, word of mouth, and via advertisement at the annual AS4SAN conference. Respondents were provided with a link to an online survey hosted by Qualtrics Software. Links were not personalised for participants and as such could be forwarded on to colleagues easily. The survey remained open for approximately 10 weeks and one reminder email was sent to the mailing list during this time. Participation was voluntary and all data were de-identified with only IP address being collected, but this was not used for analytic purposes. The study was approved by the University of Sydney, Research Integrity and Ethics Administration (2018/307).

Social media trends

Website number of views and unique visits (year-on-year data), as well as geography of IP addresses were acquired from Squarespace (which hosts the AS4SAN webpage, www.as4san.com). Quarterly newsletters are sent via MailChimp, with number of opens (instances of newsletters being opened) and geography statistics reported. Twitter data for the AS4SAN account (@AS4SANinc) were extracted via the ‘Analytics’ function (analytics.twitter.com). Facebook data were extracted via the ‘Insights’ function (www.facebook.com/AS4SAN/insights).

Publications and funding

Publications in the field of social and affective neuroscience were identified via Scopus. A search was conducted using the title, abstract, and keyword fields for the terms ‘social cognition’, ‘social psychology’, ‘social behaviour [behavior]’, ‘emotion’, ‘affective’, ‘empathy’ or ‘theory of mind’ in combination with ‘neuroscience’, ‘magnetic resonance imaging’, ‘magnetoencephalography’ ‘MEG’, ‘electroencephalography’, ‘EEG’, ‘brain imaging’, ‘biology’, ‘psychophysiology’, ‘neuropsychology’, ‘neural’, ‘hormone’, ‘cellular’ or ‘genetic’. The search was limited to an 18-year publication period (2001–2018).1 The following publication types were excluded: editorials, notes, short surveys, letters, conference papers and reviews, retractions and errata. Scopus was used to determine the number of papers per country (based on primary affiliation), and the reported funding bodies stated in the acknowledgements of the paper. In order to gauge the regional representation of research being undertaken, we analysed the primary affiliations of the top 25 most cited papers. In addition, we systematically examined funding outcomes from the two largest funding bodies in Australia; the ‘Australian Research Council’ (ARC) and the ‘National Health and Medical Research Council’ (NHMRC). Both agencies provide fellowships and project funds on a competitive. For the NHMRC, we reviewed their full list of successful grant applications from 2001 to 2018 which is available on their website (https://www.nhmrc.gov.au/funding/data-research/outcomes-funding-rounds). For ARC, a search feature is provided to enable successful grants to be searched for using specific key-terms or names of researchers (https://dataportal.arc.gov.au/NCGP/Web/Grant/Grants). The ARC search was carried out using the following keywords: ‘social neuroscience’, ‘affective neuroscience’ or ‘social cognition’, ‘social psychology’, ‘biological psychology’, ‘social behaviour’, ‘emotion’, ‘affective’, ‘empathy’, or ‘theory of mind’, with ‘neuroscience’, ‘magnetic resonance imaging’, ‘magnetoencephalography’ ‘MEG’, ‘electroencephalography’, ‘EEG’, ‘brain imaging’, ‘biology’, ‘psychophysiology’, ‘neuropsychology’, ‘neural’, ‘hormone’, ‘cellular’ or ‘genetic’. Inclusion was based on whether the project satisfied the definitions outlined in Box 1. Infrastructure and equipment grants were excluded from the list. The screening of titles and project synopses was conducted by TW and cross-checked by JD. The final list of funding titles was determined by FK, TW, and JD by consensus. For the purposes of this paper, we examined the number of successful project applications, the total funding allocated towards social and affective neuroscience projects, and the percentage of these allocations as a function of the total projects and funding provided by ARC and NHMRC from 2001 to 2018.

Analyses

Survey responses from Qualtrics were downloaded analysed using the R statistical environment (R Development Core Team, 2014). Descriptive statistics (independent samples t-tests for continuous data; chi-square tests for categorical data) are presented for all data using the ‘tableone’ package (Yoshida and Bohn, 2018). Additional statistical tests (i.e. Wilcoxon rank-sum tests, Fisher’s exact tests) were performed using the ‘stats’ and ‘gmodels’ packages as appropriate (R Development Core Team, 2014). Figures were produced using Graphpad Prism software.

Results

The descriptive characteristics of the 100 survey respondents are in Table 1. The median time to survey completion for respondents was 3.9 min (interquartile range (IQR) 2.8–6.1 min). Respondents were predominantly female (n = 75) with a mean age of 34.4 years. Most respondents were based in Australia (n = 80) with the largest proportion of respondents outside Australia from China (n = 15). Although AS4SAN members were targeted, responses were also received from Croatia, France, Germany, and Ireland. Respondents identified mainly as students (n = 38) or academics (i.e. employed by a university; n = 37). All except two students were studying full time (Figure 1a), while 49 (83.1%) of the non-student respondents were employed full time (Figure 1b). More than half of the respondents (n = 66) had completed postgraduate studies. Respondents with a PhD were a median of 7.5 (IQR 2.8–12.1) years post-PhD, but approximately 40% of those with a PhD had graduated less than 5 years ago. Approximately half (n = 51, 52.6%) of the respondents were a current member of AS4SAN. Although less than a third of respondents attended the 2017 AS4SAN conference, 85% (n = 81) intended to attend a future AS4SAN conference.
Table 1.

Profile of survey respondents

Overall(n = 100)
Age (years), mean ± SD 34.4 ± 10.2
Male: Female 25:75
Country of Residence, n (%)a
Australia80 (81.6)
China14 (14.1)
Outside of Asia-Pacific4 (4.1)
Current Role, n (%)b
Student38 (38)
Academic37 (37)
Research assistant4 (4)
Research fellow15 (15)
Working in industry4 (4)
Other2 (2)
Highest Degree Obtained, n (%)
None yet completed4 (4)
Undergraduate9 (9)
Honours21 (21)
Master’s degree12 (12)
PhD54 (54)
Years Post-PhD, median (IQR) #b 7.5 (2.8-12.1)
Years Post-PhD, n (%) #b
0-5 years20 (39.2)
5-10 years13 (25.5)
≥ 10 years18 (35.3)
AS4SAN Membership, n (%)b
Yes51 (52.6)
No46 (47.4)

 n = 2 missing;

 n = 3 missing

# For respondents who have completed a PhD.

AS4SAN = Australasian Society for Social and Affective Neuroscience; IQR = interquartile range; n = number; PhD = Doctor of Philosophy; SD = standard deviation.

Fig. 1.

Work/study institutions of survey respondents grouped by region. Note. * indicates Australian states. Note. Excludes respondents where institution was not stated (n = 7) or was unable to be categorised (n = 1; i.e. the institution had several campuses across different states but no discernible way to tell which state the respondent belonged to).

Work/study institutions of survey respondents grouped by region. Note. * indicates Australian states. Note. Excludes respondents where institution was not stated (n = 7) or was unable to be categorised (n = 1; i.e. the institution had several campuses across different states but no discernible way to tell which state the respondent belonged to). Profile of survey respondents n = 2 missing; n = 3 missing # For respondents who have completed a PhD. AS4SAN = Australasian Society for Social and Affective Neuroscience; IQR = interquartile range; n = number; PhD = Doctor of Philosophy; SD = standard deviation.

Institutional representation.

The highest number of respondents were from the University of Melbourne (n = 16; Figure 1). Fourteen institutions had one respondent only. All Australian states were represented; however, no respondents were from the Australian Capital Territory or the Northern Territory. New South Wales (n = 31) was the region with the most survey respondents, followed by Victoria (n = 28). The most common non-Australian institution was the Chinese Academy of Sciences (n = 6).

Research techniques and populations.

The research techniques employed by the survey respondents are depicted in Figure 2. Behavioural experiments (n = 50) and neuropsychological assessment (n = 48) were the most common research techniques employed (Figure 2a), followed by structural (n = 46) and functional (n = 43) magnetic resonance imaging (MRI). Other popular research techniques included recording psychophysiological data (heart rate, respiration, and skin conductance), electroencephalography (EEG), and hormonal assays.
Fig. 2.

A) Research techniques utilised by survey respondents. B) Populations of interest in survey respondent’s work or study. Note. Respondents could select multiple research techniques and more than one population for their work. EEG = electroencephalography; EMG = electromyography; MEG = magnetoencephalography; MRI = magnetic resonance imaging; tDCS = transcranial direct current stimulation; TMS = transcranial magnetic stimulation.

A) Research techniques utilised by survey respondents. B) Populations of interest in survey respondent’s work or study. Note. Respondents could select multiple research techniques and more than one population for their work. EEG = electroencephalography; EMG = electromyography; MEG = magnetoencephalography; MRI = magnetic resonance imaging; tDCS = transcranial direct current stimulation; TMS = transcranial magnetic stimulation. Respondents most commonly worked with clinical populations (n = 61; Figure 2a), followed by healthy adults aged 18–65 (n = 39), healthy children and adolescents (under the age of 18, n = 16), and healthy adults over the age of 65 (n = 12; Figure 2b).

Priorities for society to pursue.

Survey respondents prioritised student/early career training and opportunities for national collaboration over networking with emerging and senior leaders in the field (Figure 3a). Facilitating collaboration with community partners was the least common priority selected from the choices provided (Figure 3a). Respondents prioritised increasing the clinical utility of social and affective neuroscience, and increasing the academic profile as key focuses for the AS4SAN, with less priority for increasing the community profile of social and affective neuroscience in Australia (Figure 3b).
Fig. 3.

A) Number of times ranked as the top priority for opportunities for the AS4SAN to facilitate. B) Number of times ranked as top priority for preferred focus of the AS4SAN. Note. For A) Data missing for 16 respondents. The “other” response was “new information”. For B) Data missing for 41 respondents. The “other” response was “Open access, reporting of effect size (e.g. parameter estimates in fMRI) and confidence intervals, data sharing, facilitating large collaborations (e.g. fMRI projects)”.

A) Number of times ranked as the top priority for opportunities for the AS4SAN to facilitate. B) Number of times ranked as top priority for preferred focus of the AS4SAN. Note. For A) Data missing for 16 respondents. The “other” response was “new information”. For B) Data missing for 41 respondents. The “other” response was “Open access, reporting of effect size (e.g. parameter estimates in fMRI) and confidence intervals, data sharing, facilitating large collaborations (e.g. fMRI projects)”.

Publications.

Despite a somewhat slow beginning, the social and affective neuroscience field has grown rapidly, with more than 55 000 papers published globally since 2001 (2001–2018). Australia accounted for 4.4% of output in the field (Figure 4). Notably, with respect to the number of publications in the field internationally, Australia is ranked eighth, following the United States (USA), United Kingdom (UK), Germany, Canada, Italy, China, and the Netherlands. The top 10 regions, ranked by number of publications (2001–2018) are illustrated in Figure 5.
Fig. 4.

Number of publications in Scopus between 2001–2018.Note. All publications: total = 55 948; Australia = 2456. Y axis is Log 10 scale.

Fig. 5.

Top 10 regions globally between 2001–2018 ranked by number of publications.

Number of publications in Scopus between 2001–2018.Note. All publications: total = 55 948; Australia = 2456. Y axis is Log 10 scale. Top 10 regions globally between 2001–2018 ranked by number of publications. Analysis of Scopus data identified the following top 25 highly cited papers in the field with an Australian affiliation. We then examined primary affiliations of these top 25 most cited papers in the field (2001–2018; Table 2). Fifty-six per cent of these publications had primary affiliation in Australia. The majority of publications with a primary affiliation outside Australia were led by researchers based in the USA (24%).
Table 2.

Top 25 most cited papers identified in Scopus search with an Australian affiliation

RankTitleAuthorsYearSourceCited byPopulationPrimary affiliation
12016 European Guidelines on cardiovascular disease prevention in clinical practicePiepoli, M.F., Hoes, A.W., Agewall, S., (...), Nesukay, E., Gale, C.2016European Heart Journal 37(29), pp. 2315-23812369Other (Guidelines)France
2Does rejection hurt? An fMRI study of social exclusionEisenberger, N.I., Lieberman, M.D., Williams, K.D.2003Science 302(5643), pp. 290-2922034Healthy Adults (18-65yr)USA
3Correlates of physical activity: Why are some people physically active and others not?Bauman, A.E., Reis, R.S., Sallis, J.F., (...), Ogilvie, D., Sarmiento, O.L.2012The Lancet 380(9838), pp. 258-2711518ReviewAustralia
4Dementia prevention, intervention, and careLivingston, G., Sommerlad, A., Orgeta, V., (...), Teri, L., Mukadam, N.2017The Lancet 390(10 113), pp. 2673-27341081ReviewUK
5A pathways model of problem and pathological gamblingBlaszczynski, A., Nower, L.2002Addiction 97(5), pp. 487-499957ReviewAustralia
6Human and rodent homologies in action control: Corticostriatal determinants of goal-directed and habitual actionBalleine, B.W., O’Doherty, J.P.2010Neuropsychopharmacology 35(1), pp. 48-69807ReviewAustralia
7Guidelines for the management of haemophiliaSrivastava A., Brewer A.K., Mauser-Bunschoten E.P., (…), Poon M.C., Street A.2013Haemophilia 19(1), pp. 1-47874Other (Guidelines)India
8Affect detection: An interdisciplinary review of models, methods, and their applicationsCalvo R.A., D’Mello S.2010IEEE Transactions on Affective Computing 1(1), pp. 18-37825ReviewAustralia
9Core outcome domains for chronic pain clinical trials: IMMPACT recommendationsTurk, D.C., Dworkin, R.H., Allen, R.R., (...), Tollett, J., Witter, J.2003Pain 106(3), pp. 337-345739Other (Consensus Statement)USA
10Gaze cueing of attention: Visual attention, social cognition, and individual differencesFrischen, A., Bayliss, A.P., Tipper, S.P.2007Psychological Bulletin 133(4), pp. 694-724720ReviewAustralia
11Neural substrates for voluntary suppression of negative affect: A functional magnetic resonance imaging studyPhan, K.L., Fitzgerald, D.A., Nathan, P.J., (...), Uhde, T.W., Tancer, M.E.2005Biological Psychiatry 57(3), pp. 210-219619Healthy Adults (18-65yr)USA
12Amygdala-frontal connectivity during emotion regulationBanks, S.J., Eddy, K.T., Angstadt, M., Nathan, P.J., Luan Phan, K.2007Social Cognitive and Affective Neuroscience 2(4), pp. 303-312608Healthy Adults (18-65yr)USA
13Meta-analysis of the heritability of human traits based on 50 years of twin studiesPolderman, T.J.C., Benyamin, B., De Leeuw, C.A., (...), Visscher, P.M., Posthuma, D.2015Nature Genetics 47(7), pp. 702-709606ReviewNetherlands
14A critical review of the psychophysiology of driver fatigueLal, S.K.L., Craig, A.2001Biological Psychology 55(3), pp. 173-194580ReviewAustralia
15A meta-analytic study of changes in brain activation in depressionFitzgerald, P.B., Laird, A.R., Maller, J., Daskalakis, Z.J.2008Human Brain Mapping 29(6), pp. 683-695547ReviewAustralia
16Mindful emotion regulation: An integrative reviewChambers, R., Gullone, E., Allen, N.B.2009Clinical Psychology Review 29(6), pp. 560-572510ReviewAustralia
17A meta-analytic review of emotion recognition and aging: Implications for neuropsychological models of agingRuffman, T., Henry, J.D., Livingstone, V., Phillips, L.H.2008Neuroscience and Biobehavioral Reviews 32(4), pp. 863-881429ReviewNew Zealand
18Brain regions with mirror properties: A meta-analysis of 125 human fMRI studiesMolenberghs P., Cunnington R., Mattingley J.B.2012Neuroscience and Biobehavioral Reviews 36(1), pp. 341-349416ReviewAustralia
19Are you always on my mind? A review of how face perception and attention interactPalermo R., Rhodes G.2007Neuropsychologia 45(1), pp. 75-92386ReviewAustralia
20Association between amygdala hyperactivity to harsh faces and severity of social anxiety in generalized social phobiaPhan K.L., Fitzgerald D.A., Nathan P.J., Tancer M.E.2006Biological Psychiatry 59(5), pp. 424-429360Clinical PopulationsUSA
21Combined resistance and aerobic exercise program reverses muscle loss in men undergoing androgen suppression therapy for prostate cancer without bone metastases: A randomized controlled trialGalvão D.A., Taaffe D.R., Spry N., Joseph D., Newton R.U.2010Journal of Clinical Oncology 28(2), pp. 340-347355Clinical PopulationsAustralia
22Autologous olfactory ensheathing cell transplantation in human spinal cord injuryFéron F., Perry C., Cochrane J., (…), Geraghty T., Mackay-Sim A.2005Brain 128(12), pp. 2951-2960350Clinical PopulationsAustralia
23Oxytocin attenuates amygdala reactivity to fear in generalized social anxiety disorderLabuschagne, I., Phan, K.L., Wood, A., Angstadt, M., Chua, P., Heinrichs, M., Stout, J.C., Nathan, P.J.2010Neuropsychopharmacology 35(12), pp. 2403-2413326Clinical PopulationsAustralia
24Brain-to-brain coupling: A mechanism for creating and sharing a social worldHasson U., Ghazanfar A.A., Galantucci B., Garrod S., Keysers C.2012Trends in Cognitive Sciences 16(2), pp. 114-121324ReviewUSA
25Consanguinity and its relevance to clinical geneticsBittles A.H.2001Clinical Genetics 60(2), pp. 89-98323ReviewAustralia

Papers identified include: (Bittles, 2001; Lal and Craig, 2001; Blaszczynski and Nower, 2002; Eisenberger ; Turk ; Feron ; Phan ; Banks ; Frischen ; Palermo and Rhodes, 2007; Fitzgerald ; Ruffman ; Chambers ; Balleine and O’Doherty, 2010; Calvo and D’Mello, 2010; Galvao ; Labuschagne ; Bauman ; Hasson ; Molenberghs ; Srivastava ; Polderman ; Piepoli ; Livingston ).

Top 25 most cited papers identified in Scopus search with an Australian affiliation Papers identified include: (Bittles, 2001; Lal and Craig, 2001; Blaszczynski and Nower, 2002; Eisenberger ; Turk ; Feron ; Phan ; Banks ; Frischen ; Palermo and Rhodes, 2007; Fitzgerald ; Ruffman ; Chambers ; Balleine and O’Doherty, 2010; Calvo and D’Mello, 2010; Galvao ; Labuschagne ; Bauman ; Hasson ; Molenberghs ; Srivastava ; Polderman ; Piepoli ; Livingston ).

Funding sources

The data from Scopus revealed that most publications globally, are funded by US bodies, including the National Institutes of Health (n = 3723), National Institute of Mental Health (n = 2096), National Science Foundation (n = 1172), National Alliance for Research on Schizophrenia and Depression (n = 504), and the National Institute on Drug Abuse (n = 482). After the USA, key funding bodies were based in Germany (Deutsche Forschungsgemeinschaft (German Research Foundation; n = 1181)), China (National Natural Science Foundation of China (n = 1171)), the UK (Medical Research Council (n = 559), and the Wellcome Trust (n = 514)), and Canada (Canadian Institutes of Health Research (n = 474) Figure 6).
Fig. 6.

Tree map of top 10 funding bodies globally between 2001–2018 ranked by number (indicated in brackets) of publications.

Tree map of top 10 funding bodies globally between 2001–2018 ranked by number (indicated in brackets) of publications. Figure 7 shows the combined funding from the ARC and NHMRC for years 2001–2018. The ARC search yielded a total of 1952 records, of which 991 were identified as duplicates. The remaining 961 ARC grants, together with the full list of successful NHMRC grants from 2001 to 2018 (n = 19 111), were then manually inspected to determine whether they fulfilled inclusion criteria. Analysis of the funding data revealed that from 2001 to 2018, a total of 373 grants on social and affective neuroscience were awarded from ARC or NHMRC. An average of 20.72 grants were awarded each year (range 6–37). The total funding allocated to social and affective neuroscience projects in this period was $210 million Australian dollars, with an average of $534 000 allocated for each successful application (range $7000–$21M). This represented, on average, 0.83% of the total number of successful grants and 0.84% of the total funding allocated for projects in this time period. Examination of the funding allocated to social and affective neuroscience projects in three year blocks from 2001 to 2018, indicated no significant change over time, F(5373) = 1.256, p = 0.282, or any significant difference in the funding allocated by funding bodies, F(1373) = 0.00, p = 0.961, or significant interaction between funding source and time, F(5373) = 1.038, p = 0.395. The same results were found when examining the funds as a function of total expenditure (i.e. the percentage of funding allocated to social and affective neuroscience grants as a function of total funding).
Fig. 7.

Percentage of grants and funding awarded to social and affective neuroscience projects over successive three-year periods between 2001 and 2018.

Percentage of grants and funding awarded to social and affective neuroscience projects over successive three-year periods between 2001 and 2018. For the NHMRC, an average of 13.83 social and affective neuroscience grants were awarded each year (total n = 249, range from 6–23 per year), with an average of approximately $646 000 allocated to each project. Of the total NHMRC funding allocated, social and affective neuroscience grants represented, on average, 1.3% of the total successful projects and an average of 1.08% of the total allocated expenditure each year. For ARC, on the other hand, an average of 7.29 social and affective neuroscience grants were awarded each year (total n = 124, range from 2–14 each year), with an average of approximately $448 000 allocated to each project. Of the total ARC funding, social and affective neuroscience grants represented 0.48% of the total successful projects and 0.59% of the total allocated expenditure each year. We also conducted an analysis of the social media channels managed by the AS4SAN. In 2018, the AS4SAN website (www.as4san.com) had 7213 page views (up 30% from 2017) by 2735 unique visitors (up 43.4% from 2017), after a period of strong investment in Facebook presence (not necessarily a natural trend). As of December 2019, the website had received 8022 page views in 2019 (+13.6%) from 2988 unique visitors (+10.4%).2 In 2019, 63.3% of visits were from Australia, followed by visits from the USA (9.36%), China (6.42%), Canada (4.69%), Germany (2.04%), India (1.7%), and the UK (1.3%), demonstrating the reach of the website beyond Australia. The AS4SAN joined Twitter in September 2015. As of December 2019, the Society had gained 267 followers on Twitter and tweeted 162 times. AS4SAN tweeted 3.18 times per month, on average. The most prolific month of tweeting was June 2019 (39 tweets), coinciding with AS4SAN’s annual meeting. The average tweet was viewed 508.16 times and had 9.73 engagements. The AS4SAN Facebook page was founded in August 2014. As of September 2019, the page had 627 followers and 598 likes and had posted 300 times. In general, the most engaging posts were those relating to abstract submission and those where posting coincided with AS4SAN’s annual meetings. Since September 2019, the total page views, the page likes, the post reach and the page engagement increased 211%, 100%, 114% and 456%, respectively. The AS4SAN newsletter has 490 subscribers, with newsletters sent out quarterly. Sixty-seven per cent of subscribers are from Australia and 6.0% from the USA, with the remainder from other regions.

Discussion

Australia is an active contributor to the field of social and affective neuroscience. Since 2000, over 55 000 papers on social and affective neuroscience have been published worldwide. In this time, output from Australia has doubled from 2.1% to 4.9% of total global publications, ranking in the top 10 globally in terms of publication output. Over a decade after research in social and affective neuroscience started in earnest, we reflect on the current state of affairs and consider the unique challenges and opportunities that Australia brings to this field of research. In the following sections, we discuss the findings from our survey and analysis of the field and highlight patterns of current social and affective neuroscience research topics, as well as considering the current challenges and future directions for social and affective neuroscience in the Australian region.

Research priorities in Australia

One of our key findings is the considerable work being conducted in clinical populations and with influence from neuropsychiatry, neuropsychology and neurology. Our survey data demonstrated that more than 60% of respondents were working in clinical populations, while nearly a quarter of respondents wanted the clinical utility of social and affective neuroscience to be a priority for AS4SAN. While Lieberman (2012) found that the type of research in the USA was more self-oriented and the research from Europe was predominantly other-oriented, we suggest that research from Australia may be particularly clinically oriented and, therefore, decidedly more applied. The focus of research in Australia has likely been influenced by the focus of early pioneers in the field, whose primary aim was to improve the health of clinical patients, while being guided by neurobiological theories of social and affective processes (which they were testing at same time). Ultimately, studies in both healthy and clinical (lesion/neurodegeneration/impairment) populations are necessary to solve issues of correlation versus causation. Moreover, in light of recent criticisms about replicability particularly in social psychology (Open Science Collaboration, 2015), fields which test influential theories from multiple different perspectives increase confidence in the validity of findings. Behavioural experiments and neuropsychological testing were the most commonly employed research techniques reported in our survey. Notably, despite advances in the assessment of social and affective processes in the field of neuropsychology and social neuroscience over the past couple of decades, there is still a perceived lack of valid and reliable assessment tools suitable for clinical implementation, at least within some clinical populations (Kelly ). Of those tools available for use both in the experimental and clinical fields, there is wide variation in the extent to which they could be argued to be truly social paradigms Self- and informant-reports paradigms are common, which are vulnerable to bias and lack of self-awareness and self-knowledge (particularly serious in the case of clinical populations with anosognosia), although performance-based tests designed to increase ecological validity (e.g. watching images or videos of people) have also been developed. Complementing such approaches with physiological recordings and neuroimaging will increase the objectivity of measurement as well as provide mechanistic explanations of the neurobiology. These techniques and technologies are, however, less suitable for use in real-world clinical settings and are costly to run, differentially disadvantaging countries in the region with fewer financial resources. Advances in mobile technology and e-Health (e.g. via personal trackers, iPads, desktop apps, etc.) may assist with translating such technologies from the lab into real-world clinical setting.

Current challenges

Funding

Despite Australia’s increased global contribution to social and affective neuroscience, our review of Australian funding bodies (i.e. ARC and NHMRC) indicated a plateau in funding. The number of successful social and affective grant applications and the total allocation of funding did not change from 2001 to 2018, despite the increase in publication output. Indeed, Australia is currently ranked eighth globally in terms of publication output, yet Australian funding bodies did not rank highly internationally (Figure 6), with less than 1% of the entire research expenditure within Australia being allocated to social and affective neuroscience research since 2001. This raises the sombre question of innovative research studies that are not being undertaken because investigators are unable to procure funding for their projects. This may have precluded Australia—and Australasia more broadly—from having even greater research output and international impact in the field. Lack of funding also limits the available support for early career researchers with respect to employment opportunities and advanced training. This has potential impact nationally and internationally, as it minimises the number of internationally recognised experts from Australia and has the potential to derail the region’s position and output in the future. Finally, more researchers entering the field combined with the lack of change to the number of successful grants means that more applicants will be competing against colleagues for financial support in future rounds. Moving forward, we encourage researchers within social and affective neuroscience to engage with the funding review process, with the intent of offering transparency and advocacy for social and affective neuroscience applications. Our findings also indirectly suggest that social and affective neuroscience researchers remain productive despite limited financial support. Indeed, approximately 20% of the publications from Australia identified in Scopus cited ARC or NHMRC as their funding source. However, given the techniques (e.g. fMRI, brain stimulation, and genetic analyses) used by current researchers in this area (highlighted by our survey results) are expensive, it is unlikely that this research is being conducted without financial support. As such, this research may be supplemented by other funding sources, such as institutional seed funding or indirectly supported by international funding. Limitations regarding funding are especially pertinent for pre-clinical and clinical research, which can be particularly resource dependent. We found no difference between the success of grants from either NHMRC or ARC in Australia. This indicates that funding has been equally distributed between basic (i.e. ARC) and clinical/translational research (i.e. NHMRC), further illustrating the strength of the region in clinical research. We anticipate that this paper will provide grant applicants with quantifiable evidence of the impact of social and affective neuroscience researchers in Australia and hope the data provided can be helpful in lobbying funding and government bodies nationally and internationally.

International links.

While the AS4SAN was founded in Australia, one of its long-term goals is to give a voice to researchers outside of the USA and Europe. The society has already taken some steps to improve regional collaboration in Australasia and with Asia. This includes inviting people from the Asia-Pacific region to be international keynote speakers at the AS4SAN conference, as well as scholars and students to become committee members of the society. One of the notable challenges with improving regional connections, particularly with China, has been its internet censorship. For example, the lack of access to social media has meant that current outreach avenues (i.e. Twitter and Facebook) have been unsuccessful. To address this, the AS4SAN established a Weibo page (Chinese equivalent to Facebook) in May 2019 to communicate social media information with members based in China (https://www.weibo.com/p/1005057060247783/home?from=page_100505&mod=TAB&is_all=1#place). As part of this process, the society name was translated into Chinese: 泛澳社会与情感神经科学学会. By December 2019, the AS4SAN Weibo account had posted 1.25 times per month and had been read 812 times. It is hoped that the society’s Weibo page will be able to redress this lack of access for Chinese AS4SAN members. A second related issue is defining the scope of the society’s representation. The current name—Australasian Society for Social and Affective Neuroscience—by definition includes Australia, New Zealand, New Guinea, and neighboring Pacific islands, though notably, does not include Asia. To our knowledge, similar studies focused on social and affective neuroscience do not currently exist in New Zealand or Asia. While a rebranding of the society name is unlikely in the immediate future, improved awareness of the representation of the society across the Asia-Pacific region is needed. To advance the training and capacity (and to increase visibility) of junior social and affective neuroscience researchers, engagement with international researchers and experts in the field is imperative. International collaboration can facilitate the acquisition of new research skills and lead to advances in research methods and techniques (Freshwater et al., 2006). However, the Australian region faces significant challenges in engaging with international researchers in the USA, UK, and Europe due to geographical distance. For example, the distance between Australia and the USA, UK, and Europe is on average 64% greater than the distance between them. Time zones are a challenge that compromise collaboration via tele/videoconferencing. This is particularly relevant in Australia, where global time zones are diametrically opposed to the UK and USA. Further, the cost of travel from (or to) Australia is expensive. Australia is the 12th most expensive country to fly from, in terms of cost per 100 km (https://www.kiwi.com/stories/flight-price-index-2017/). Funding available for international travel is often restricted by grant funding bodies. Nevertheless, over 70% of the top 25 most cited papers included international collaborators, suggesting that the impact of publications are potentially higher when multiple institutions are involved. One way to improve international collaboration is to enable international leaders in the field to attend local conferences in the Australian region. Moving forward, AS4SAN will continue to place international collaboration as a priority, to increase the visibility and impact of its research, and to facilitate training of junior researchers. Recent moves towards remote/online conferences may also help to improve relationships between international researchers and Australia. Meetings which are in time zones that align with Australia’s near neighbours will be important in enabling greater contribution with lower income countries in the Asia-Pacific region.

Potential opportunities

Culturally appropriate assessments and a multidisciplinary approach.

Australia is unique in its cultural diversity. One in four Australians were born overseas and one in two Australians have a parent who was born overseas. Nearly 20% of Australians speak a language other than English at home (Australian Human Rights Commission, 2014). Aboriginal and Torres Strait Islander Peoples also represent one of the world’s oldest continuous cultures (Australian Human Rights Commission, 2014). In this context, Australia is uniquely placed to be an international leader in the development of culturally appropriate assessment tools for culturally and linguistically diverse individuals. The need to recognise culture when designing experiments is increasingly recognised. Language is not the only disparity when making cross-cultural or multicultural comparisons. Cultural differences in idioms, personal styles and experiences also impact on test performance (Geisinger and McCormick, 2012). The perception and definition of the problem, base rates, such as depression, and numerous help-seeking behaviours should also be taken into account when conducting assessments and interpreting the results (Cuellar, 1998). Take, for instance, comparisons across White European Australians, Asian Australians and Asians, who have shown differences in cognitive styles (and associated neural correlates) variously characterised in terms of context-dependent vs context-independent, collectivistic vs individualistic and holistic vs analytic styles. Acculturation and assimilation into White European Australian culture makes Asian Australians perform more in accordance with White European norms. In the meantime, getting along with their Asian-born family members also implants Asian traditional values in Asian Australians. The influence of cultural differences on neuropsychological assessments can also be reflected in the context of educational attainment, which is one of many important aspects of culture (Cuellar, 1998). Numerous well-accepted assessments and paradigms have been translated into different languages and have been widely used across countries. Although most items involved in these assessments and paradigms may simply be assumed to be equivalent across cultures, some have been adjusted to adapt to the local culture. It should be noted, however, that translated items need to be evaluated for invariance across different language tests. The gold-standard is for translated versions should be back translated into the original language by an independent person to ensure invariance across versions. Given the diversity of cultures in the region, and the multicultural nature of Australia, researchers in this region have the opportunity to become leaders in how to account for cultural variables and adopting assessments for suitability in cross-cultural or multicultural populations.

Data-sharing.

There is a growing interest in data sharing, open access and building “big data” repositories. Data sharing maximises the utility of data and skills of researchers, thereby facilitating acceleration in the pace of investigations around particular questions (Choudhury ). A number of big data sets now exist that may be of utility for social and affective neuroscience research. For example, the UK Biobank is a longitudinal brain imaging population study, which, along with body and cardiac imaging, genetics, lifestyle measures, biological phenotyping, and health records, aims to provide unique insight into mechanisms underlying a number of diseases (Miller ). “Enhancing NeuroImaging Genetics through Meta-Analysis” (ENIGMA) is an international effort to bring together researchers with genetic and neuroimaging data to meta-analyse evidence for the genetic basis of brain structure, in addition to various questions regarding neurobiological abnormalities in various disease populations (Thompson ). The benefits of analyses using such national and international data collections are wide-reaching. For example, larger datasets afford increased power to detect effects of interest. They allow researchers to investigate questions about the specificity of neuroscientific findings to certain populations (e.g. cultures, diagnostic groups), or indeed whether some neuroscientific findings may be transdiagnostic. Moving forward, Australian-based social and affective neuroscience researchers have great opportunities to advance the field by developing, contributing to, and utilising data sharing/big data initiatives.

An inclusive and global approach

As this review highlights, social and affective neuroscience is thriving beyond the USA and Europe. Having a truly global perspective is important for all research fields, but arguably more so for social and affective neuroscience. Some of the major breakthroughs have been driven by cross-cultural research. For example, the seminal work initially by Charles Darwin and then by Paul Ekman was groundbreaking in demonstrating the innate and cultural universality of emotional expression (Darwin, 1872; Ekman, 1973; Ekman and Friesen, 1986). However, more recent evidence has suggested that a more nuanced account is probably more appropriate. For example, research from the University of Western Australia has indicated that mixed race faces were rated as more attractive than prototypical Japanese or Caucasian faces (Rhodes ). Studies comparing interdependent and independent cultures have also revealed that empathic responses and the associated brain activity differs between cultures, with Chinese individuals from an interdependent culture show enhanced emotion regulation mediated by greater left dorsolateral prefrontal cortex activation (de Greck ). Such insights can only be gleaned from research which harnesses the uniqueness of different cultures. Understanding of gene and gene × environment interactions also require diversity of research participants. With the majority of genetic association studies performed in Europeans, potential understanding of genetic contributions to social behaviour has been investigated through a Eurocentric lens. These studies may lack power to detect genes which have greater presence in other countries. For example, frontotemporal dementia, a neurodegenerative disorder characterised by impaired social cognition has been associated with the C9ORF72 gene repeat expansion in up to 30% of patients (DeJesus-Hernandez ; Renton ). However, when examined in Native American, Asian, and Pacific Island populations, this gene expansion is absent (Majounie ). Diversity of the field is also important from an economic perspective. Research in most fields is dominated by higher income countries, reflecting the cost of conducting research. However, for social and affective neuroscience, economic factors may interact with human social behaviour. For example, socioeconomic status has been shown to correlate with capability for cognitive empathy (Jolliffe and Farrington, 2011), while neural responses when engaging in altruistic behaviour vary between individuals with high and low subjective socioeconomic status (Ma ). Thus, research from a variety of cultural and economic backgrounds is essential in gaining a comprehensive picture of mechanisms of social and affective neuroscience and ensuring that theoretical models can adequately explain human behaviour irrespective of country or economic background. Here, we have highlighted how existing challenges, such as funding and distance, may contribute to diversity in the field, and how these barriers may be overcome. Importantly, Australian researchers’ experience in conducting cross-cultural studies, and overcoming challenges of distance via remote technologies and data-sharing make Australian social and affective neuroscientists well placed to lead a truly global and diverse approach for this field in the future.

Limitations

As with all systematic reviews, the number of articles retrieved is dependent on the search terms used. Here, the search terms were selected in order to attempt to capture the wide range of research being undertaken in this field. These search terms meant that some of the top 25 most cited papers may not seem to obviously fit within the definition of social and affective neuroscience, despite including one of our key search terms In Australia and New Zealand, Field of Research (FoR) Codes are used for the measurement and analyses of research and experimental development, with a specific focus on the methodology used. Encouragingly, the field of social and affective neuroscience was recently recognised as an independent field of research (FoR code 520 207). This important step will undoubtedly result in better classification of publications and grants, and recognition of multidisciplinary work within the research and broader community. We expect this will allow clearer definition and growth of social and affective neuroscience. Finally, encouragement of consistency of keywords and recommendations for selection of keywords may be an important avenue to ensure that developments in the field are effectively captured. A second caveat is that examination of the most cited and influential research output in the field, with Australian affiliations, may not provide an accurate reflection of the emerging themes of research in the region. Whilst valuable to understanding of the contribution and prominence of the region on an international scale, 24% of these papers were led by the USA, likely given their unparalleled funding support. Further, as research techniques and populations do not exist as a separate field of enquiry, such analyses again rely on the inclusion of relevant keywords. Thus, a comprehensive depiction of the nature of research in the region is unlikely to be obtained based on publication data alone.

Conclusions

Social and affective neuroscience is a burgeoning interdisciplinary field spanning psychology, neuroscience, biology and the social sciences. Over the past few decades, the impact of the field has grown enormously, thanks in part to the concurrent development of neuroimaging. In Australia, formal recognition of this field has been relatively recent. Nevertheless, the results of our survey, as well as systematic analysis of funding, publications and social media trends demonstrate that this small field has significant potential, and its researchers are already having measurable impact on an international scale. At this stage, it is important for funding bodies to recognise the contribution of social and affective neuroscience at both the basic and clinical science levels. This will in part be achieved by more systematic documentation of research efforts. Australia has unique potential to contribute to cross-cultural research, as well as harnessing of technology to better enable international collaboration. We look forward to seeing how the strategies proposed here, help to mature this field over the coming decade. Click here for additional data file.
Box 1.

Abbreviations and terminology

TermDefinition
Social neuroscienceThe interdisciplinary field devoted to the study of neural, hormonal, cellular, and genetic mechanisms, and to the study of the associations and influences between social and biological levels of organisation1
Affective neuroscienceAssociated with a broad family of approaches to understanding the neural basis of emotion within animal models and linking these to studies of human emotion2
Social cognitive neuroscienceExamines social phenomena and processes using cognitive neuroscience tools such as neuroimaging and neuropsychology3
AustralasiaA region of Oceania comprising Australia, New Zealand, New Guinea, and neighbouring islands in the Pacific Ocean
Asia-PacificA region consisting of Asia as well as the Pacific rim countries Australia and New Zealand

Note. Based on definitions from 1(Cacioppo and Decety, 2011); 2(Panksepp ); 3(Lieberman, 2007).

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  42 in total

Review 1.  Consanguinity and its relevance to clinical genetics.

Authors:  A Bittles
Journal:  Clin Genet       Date:  2001-08       Impact factor: 4.438

Review 2.  A pathways model of problem and pathological gambling.

Authors:  Alex Blaszczynski; Lia Nower
Journal:  Addiction       Date:  2002-05       Impact factor: 6.526

3.  Expanded GGGGCC hexanucleotide repeat in noncoding region of C9ORF72 causes chromosome 9p-linked FTD and ALS.

Authors:  Mariely DeJesus-Hernandez; Ian R Mackenzie; Bradley F Boeve; Adam L Boxer; Matt Baker; Nicola J Rutherford; Alexandra M Nicholson; NiCole A Finch; Heather Flynn; Jennifer Adamson; Naomi Kouri; Aleksandra Wojtas; Pheth Sengdy; Ging-Yuek R Hsiung; Anna Karydas; William W Seeley; Keith A Josephs; Giovanni Coppola; Daniel H Geschwind; Zbigniew K Wszolek; Howard Feldman; David S Knopman; Ronald C Petersen; Bruce L Miller; Dennis W Dickson; Kevin B Boylan; Neill R Graff-Radford; Rosa Rademakers
Journal:  Neuron       Date:  2011-09-21       Impact factor: 17.173

4.  Culture modulates brain activity during empathy with anger.

Authors:  Moritz de Greck; Zhenhao Shi; Gang Wang; Xiangyu Zuo; Xuedong Yang; Xiaoying Wang; Georg Northoff; Shihui Han
Journal:  Neuroimage       Date:  2011-09-29       Impact factor: 6.556

5.  Guidelines for the management of hemophilia.

Authors:  A Srivastava; A K Brewer; E P Mauser-Bunschoten; N S Key; S Kitchen; A Llinas; C A Ludlam; J N Mahlangu; K Mulder; M C Poon; A Street
Journal:  Haemophilia       Date:  2012-07-06       Impact factor: 4.287

6.  Neural substrates for voluntary suppression of negative affect: a functional magnetic resonance imaging study.

Authors:  K Luan Phan; Daniel A Fitzgerald; Pradeep J Nathan; Gregory J Moore; Thomas W Uhde; Manuel E Tancer
Journal:  Biol Psychiatry       Date:  2005-02-01       Impact factor: 13.382

7.  A Survey of Clinicians Working in Brain Injury Rehabilitation: Are Social Cognition Impairments on the Radar?

Authors:  Michelle Kelly; Skye McDonald; Matthew H J Frith
Journal:  J Head Trauma Rehabil       Date:  2017 Jul/Aug       Impact factor: 2.710

Review 8.  The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data.

Authors:  Paul M Thompson; Jason L Stein; Sarah E Medland; Derrek P Hibar; Alejandro Arias Vasquez; Miguel E Renteria; Roberto Toro; Neda Jahanshad; Gunter Schumann; Barbara Franke; Margaret J Wright; Nicholas G Martin; Ingrid Agartz; Martin Alda; Saud Alhusaini; Laura Almasy; Jorge Almeida; Kathryn Alpert; Nancy C Andreasen; Ole A Andreassen; Liana G Apostolova; Katja Appel; Nicola J Armstrong; Benjamin Aribisala; Mark E Bastin; Michael Bauer; Carrie E Bearden; Orjan Bergmann; Elisabeth B Binder; John Blangero; Henry J Bockholt; Erlend Bøen; Catherine Bois; Dorret I Boomsma; Tom Booth; Ian J Bowman; Janita Bralten; Rachel M Brouwer; Han G Brunner; David G Brohawn; Randy L Buckner; Jan Buitelaar; Kazima Bulayeva; Juan R Bustillo; Vince D Calhoun; Dara M Cannon; Rita M Cantor; Melanie A Carless; Xavier Caseras; Gianpiero L Cavalleri; M Mallar Chakravarty; Kiki D Chang; Christopher R K Ching; Andrea Christoforou; Sven Cichon; Vincent P Clark; Patricia Conrod; Giovanni Coppola; Benedicto Crespo-Facorro; Joanne E Curran; Michael Czisch; Ian J Deary; Eco J C de Geus; Anouk den Braber; Giuseppe Delvecchio; Chantal Depondt; Lieuwe de Haan; Greig I de Zubicaray; Danai Dima; Rali Dimitrova; Srdjan Djurovic; Hongwei Dong; Gary Donohoe; Ravindranath Duggirala; Thomas D Dyer; Stefan Ehrlich; Carl Johan Ekman; Torbjørn Elvsåshagen; Louise Emsell; Susanne Erk; Thomas Espeseth; Jesen Fagerness; Scott Fears; Iryna Fedko; Guillén Fernández; Simon E Fisher; Tatiana Foroud; Peter T Fox; Clyde Francks; Sophia Frangou; Eva Maria Frey; Thomas Frodl; Vincent Frouin; Hugh Garavan; Sudheer Giddaluru; David C Glahn; Beata Godlewska; Rita Z Goldstein; Randy L Gollub; Hans J Grabe; Oliver Grimm; Oliver Gruber; Tulio Guadalupe; Raquel E Gur; Ruben C Gur; Harald H H Göring; Saskia Hagenaars; Tomas Hajek; Geoffrey B Hall; Jeremy Hall; John Hardy; Catharina A Hartman; Johanna Hass; Sean N Hatton; Unn K Haukvik; Katrin Hegenscheid; Andreas Heinz; Ian B Hickie; Beng-Choon Ho; David Hoehn; Pieter J Hoekstra; Marisa Hollinshead; Avram J Holmes; Georg Homuth; Martine Hoogman; L Elliot Hong; Norbert Hosten; Jouke-Jan Hottenga; Hilleke E Hulshoff Pol; Kristy S Hwang; Clifford R Jack; Mark Jenkinson; Caroline Johnston; Erik G Jönsson; René S Kahn; Dalia Kasperaviciute; Sinead Kelly; Sungeun Kim; Peter Kochunov; Laura Koenders; Bernd Krämer; John B J Kwok; Jim Lagopoulos; Gonzalo Laje; Mikael Landen; Bennett A Landman; John Lauriello; Stephen M Lawrie; Phil H Lee; Stephanie Le Hellard; Herve Lemaître; Cassandra D Leonardo; Chiang-Shan Li; Benny Liberg; David C Liewald; Xinmin Liu; Lorna M Lopez; Eva Loth; Anbarasu Lourdusamy; Michelle Luciano; Fabio Macciardi; Marise W J Machielsen; Glenda M Macqueen; Ulrik F Malt; René Mandl; Dara S Manoach; Jean-Luc Martinot; Mar Matarin; Karen A Mather; Manuel Mattheisen; Morten Mattingsdal; Andreas Meyer-Lindenberg; Colm McDonald; Andrew M McIntosh; Francis J McMahon; Katie L McMahon; Eva Meisenzahl; Ingrid Melle; Yuri Milaneschi; Sebastian Mohnke; Grant W Montgomery; Derek W Morris; Eric K Moses; Bryon A Mueller; Susana Muñoz Maniega; Thomas W Mühleisen; Bertram Müller-Myhsok; Benson Mwangi; Matthias Nauck; Kwangsik Nho; Thomas E Nichols; Lars-Göran Nilsson; Allison C Nugent; Lars Nyberg; Rene L Olvera; Jaap Oosterlaan; Roel A Ophoff; Massimo Pandolfo; Melina Papalampropoulou-Tsiridou; Martina Papmeyer; Tomas Paus; Zdenka Pausova; Godfrey D Pearlson; Brenda W Penninx; Charles P Peterson; Andrea Pfennig; Mary Phillips; G Bruce Pike; Jean-Baptiste Poline; Steven G Potkin; Benno Pütz; Adaikalavan Ramasamy; Jerod Rasmussen; Marcella Rietschel; Mark Rijpkema; Shannon L Risacher; Joshua L Roffman; Roberto Roiz-Santiañez; Nina Romanczuk-Seiferth; Emma J Rose; Natalie A Royle; Dan Rujescu; Mina Ryten; Perminder S Sachdev; Alireza Salami; Theodore D Satterthwaite; Jonathan Savitz; Andrew J Saykin; Cathy Scanlon; Lianne Schmaal; Hugo G Schnack; Andrew J Schork; S Charles Schulz; Remmelt Schür; Larry Seidman; Li Shen; Jody M Shoemaker; Andrew Simmons; Sanjay M Sisodiya; Colin Smith; Jordan W Smoller; Jair C Soares; Scott R Sponheim; Emma Sprooten; John M Starr; Vidar M Steen; Stephen Strakowski; Lachlan Strike; Jessika Sussmann; Philipp G Sämann; Alexander Teumer; Arthur W Toga; Diana Tordesillas-Gutierrez; Daniah Trabzuni; Sarah Trost; Jessica Turner; Martijn Van den Heuvel; Nic J van der Wee; Kristel van Eijk; Theo G M van Erp; Neeltje E M van Haren; Dennis van 't Ent; Marie-Jose van Tol; Maria C Valdés Hernández; Dick J Veltman; Amelia Versace; Henry Völzke; Robert Walker; Henrik Walter; Lei Wang; Joanna M Wardlaw; Michael E Weale; Michael W Weiner; Wei Wen; Lars T Westlye; Heather C Whalley; Christopher D Whelan; Tonya White; Anderson M Winkler; Katharina Wittfeld; Girma Woldehawariat; Christiane Wolf; David Zilles; Marcel P Zwiers; Anbupalam Thalamuthu; Peter R Schofield; Nelson B Freimer; Natalia S Lawrence; Wayne Drevets
Journal:  Brain Imaging Behav       Date:  2014-06       Impact factor: 3.978

9.  Frequency of the C9orf72 hexanucleotide repeat expansion in patients with amyotrophic lateral sclerosis and frontotemporal dementia: a cross-sectional study.

Authors:  Elisa Majounie; Alan E Renton; Kin Mok; Elise G P Dopper; Adrian Waite; Sara Rollinson; Adriano Chiò; Gabriella Restagno; Nayia Nicolaou; Javier Simon-Sanchez; John C van Swieten; Yevgeniya Abramzon; Janel O Johnson; Michael Sendtner; Roger Pamphlett; Richard W Orrell; Simon Mead; Katie C Sidle; Henry Houlden; Jonathan D Rohrer; Karen E Morrison; Hardev Pall; Kevin Talbot; Olaf Ansorge; Dena G Hernandez; Sampath Arepalli; Mario Sabatelli; Gabriele Mora; Massimo Corbo; Fabio Giannini; Andrea Calvo; Elisabet Englund; Giuseppe Borghero; Gian Luca Floris; Anne M Remes; Hannu Laaksovirta; Leo McCluskey; John Q Trojanowski; Vivianna M Van Deerlin; Gerard D Schellenberg; Michael A Nalls; Vivian E Drory; Chin-Song Lu; Tu-Hsueh Yeh; Hiroyuki Ishiura; Yuji Takahashi; Shoji Tsuji; Isabelle Le Ber; Alexis Brice; Carsten Drepper; Nigel Williams; Janine Kirby; Pamela Shaw; John Hardy; Pentti J Tienari; Peter Heutink; Huw R Morris; Stuart Pickering-Brown; Bryan J Traynor
Journal:  Lancet Neurol       Date:  2012-03-09       Impact factor: 44.182

Review 10.  Dementia prevention, intervention, and care.

Authors:  Gill Livingston; Andrew Sommerlad; Vasiliki Orgeta; Sergi G Costafreda; Jonathan Huntley; David Ames; Clive Ballard; Sube Banerjee; Alistair Burns; Jiska Cohen-Mansfield; Claudia Cooper; Nick Fox; Laura N Gitlin; Robert Howard; Helen C Kales; Eric B Larson; Karen Ritchie; Kenneth Rockwood; Elizabeth L Sampson; Quincy Samus; Lon S Schneider; Geir Selbæk; Linda Teri; Naaheed Mukadam
Journal:  Lancet       Date:  2017-07-20       Impact factor: 202.731

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