| Literature DB >> 33025004 |
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.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
Profile of survey respondents
| Overall | |
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| 34.4 ± 10.2 |
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| 25:75 |
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| |
| Australia | 80 (81.6) |
| China | 14 (14.1) |
| Outside of Asia-Pacific | 4 (4.1) |
|
| |
| Student | 38 (38) |
| Academic | 37 (37) |
| Research assistant | 4 (4) |
| Research fellow | 15 (15) |
| Working in industry | 4 (4) |
| Other | 2 (2) |
|
| |
| None yet completed | 4 (4) |
| Undergraduate | 9 (9) |
| Honours | 21 (21) |
| Master’s degree | 12 (12) |
| PhD | 54 (54) |
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| 7.5 (2.8-12.1) |
|
| |
| 0-5 years | 20 (39.2) |
| 5-10 years | 13 (25.5) |
| ≥ 10 years | 18 (35.3) |
|
| |
| Yes | 51 (52.6) |
| No | 46 (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).
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.
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)”.
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.
Top 25 most cited papers identified in Scopus search with an Australian affiliation
| Rank | Title | Authors | Year | Source | Cited by | Population | Primary affiliation |
|---|---|---|---|---|---|---|---|
| 1 | 2016 European Guidelines on cardiovascular disease prevention in clinical practice | Piepoli, M.F., Hoes, A.W., Agewall, S., (...), Nesukay, E., Gale, C. | 2016 | European Heart Journal 37(29), pp. 2315-2381 | 2369 | Other (Guidelines) | France |
| 2 | Does rejection hurt? An fMRI study of social exclusion | Eisenberger, N.I., Lieberman, M.D., Williams, K.D. | 2003 | Science 302(5643), pp. 290-292 | 2034 | Healthy Adults (18-65yr) | USA |
| 3 | Correlates 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. | 2012 | The Lancet 380(9838), pp. 258-271 | 1518 | Review | Australia |
| 4 | Dementia prevention, intervention, and care | Livingston, G., Sommerlad, A., Orgeta, V., (...), Teri, L., Mukadam, N. | 2017 | The Lancet 390(10 113), pp. 2673-2734 | 1081 | Review | UK |
| 5 | A pathways model of problem and pathological gambling | Blaszczynski, A., Nower, L. | 2002 | Addiction 97(5), pp. 487-499 | 957 | Review | Australia |
| 6 | Human and rodent homologies in action control: Corticostriatal determinants of goal-directed and habitual action | Balleine, B.W., O’Doherty, J.P. | 2010 | Neuropsychopharmacology 35(1), pp. 48-69 | 807 | Review | Australia |
| 7 | Guidelines for the management of haemophilia | Srivastava A., Brewer A.K., Mauser-Bunschoten E.P., (…), Poon M.C., Street A. | 2013 | Haemophilia 19(1), pp. 1-47 | 874 | Other (Guidelines) | India |
| 8 | Affect detection: An interdisciplinary review of models, methods, and their applications | Calvo R.A., D’Mello S. | 2010 | IEEE Transactions on Affective Computing 1(1), pp. 18-37 | 825 | Review | Australia |
| 9 | Core outcome domains for chronic pain clinical trials: IMMPACT recommendations | Turk, D.C., Dworkin, R.H., Allen, R.R., (...), Tollett, J., Witter, J. | 2003 | Pain 106(3), pp. 337-345 | 739 | Other (Consensus Statement) | USA |
| 10 | Gaze cueing of attention: Visual attention, social cognition, and individual differences | Frischen, A., Bayliss, A.P., Tipper, S.P. | 2007 | Psychological Bulletin 133(4), pp. 694-724 | 720 | Review | Australia |
| 11 | Neural substrates for voluntary suppression of negative affect: A functional magnetic resonance imaging study | Phan, K.L., Fitzgerald, D.A., Nathan, P.J., (...), Uhde, T.W., Tancer, M.E. | 2005 | Biological Psychiatry 57(3), pp. 210-219 | 619 | Healthy Adults (18-65yr) | USA |
| 12 | Amygdala-frontal connectivity during emotion regulation | Banks, S.J., Eddy, K.T., Angstadt, M., Nathan, P.J., Luan Phan, K. | 2007 | Social Cognitive and Affective Neuroscience 2(4), pp. 303-312 | 608 | Healthy Adults (18-65yr) | USA |
| 13 | Meta-analysis of the heritability of human traits based on 50 years of twin studies | Polderman, T.J.C., Benyamin, B., De Leeuw, C.A., (...), Visscher, P.M., Posthuma, D. | 2015 | Nature Genetics 47(7), pp. 702-709 | 606 | Review | Netherlands |
| 14 | A critical review of the psychophysiology of driver fatigue | Lal, S.K.L., Craig, A. | 2001 | Biological Psychology 55(3), pp. 173-194 | 580 | Review | Australia |
| 15 | A meta-analytic study of changes in brain activation in depression | Fitzgerald, P.B., Laird, A.R., Maller, J., Daskalakis, Z.J. | 2008 | Human Brain Mapping 29(6), pp. 683-695 | 547 | Review | Australia |
| 16 | Mindful emotion regulation: An integrative review | Chambers, R., Gullone, E., Allen, N.B. | 2009 | Clinical Psychology Review 29(6), pp. 560-572 | 510 | Review | Australia |
| 17 | A meta-analytic review of emotion recognition and aging: Implications for neuropsychological models of aging | Ruffman, T., Henry, J.D., Livingstone, V., Phillips, L.H. | 2008 | Neuroscience and Biobehavioral Reviews 32(4), pp. 863-881 | 429 | Review | New Zealand |
| 18 | Brain regions with mirror properties: A meta-analysis of 125 human fMRI studies | Molenberghs P., Cunnington R., Mattingley J.B. | 2012 | Neuroscience and Biobehavioral Reviews 36(1), pp. 341-349 | 416 | Review | Australia |
| 19 | Are you always on my mind? A review of how face perception and attention interact | Palermo R., Rhodes G. | 2007 | Neuropsychologia 45(1), pp. 75-92 | 386 | Review | Australia |
| 20 | Association between amygdala hyperactivity to harsh faces and severity of social anxiety in generalized social phobia | Phan K.L., Fitzgerald D.A., Nathan P.J., Tancer M.E. | 2006 | Biological Psychiatry 59(5), pp. 424-429 | 360 | Clinical Populations | USA |
| 21 | Combined resistance and aerobic exercise program reverses muscle loss in men undergoing androgen suppression therapy for prostate cancer without bone metastases: A randomized controlled trial | Galvão D.A., Taaffe D.R., Spry N., Joseph D., Newton R.U. | 2010 | Journal of Clinical Oncology 28(2), pp. 340-347 | 355 | Clinical Populations | Australia |
| 22 | Autologous olfactory ensheathing cell transplantation in human spinal cord injury | Féron F., Perry C., Cochrane J., (…), Geraghty T., Mackay-Sim A. | 2005 | Brain 128(12), pp. 2951-2960 | 350 | Clinical Populations | Australia |
| 23 | Oxytocin attenuates amygdala reactivity to fear in generalized social anxiety disorder | Labuschagne, I., Phan, K.L., Wood, A., Angstadt, M., Chua, P., Heinrichs, M., Stout, J.C., Nathan, P.J. | 2010 | Neuropsychopharmacology 35(12), pp. 2403-2413 | 326 | Clinical Populations | Australia |
| 24 | Brain-to-brain coupling: A mechanism for creating and sharing a social world | Hasson U., Ghazanfar A.A., Galantucci B., Garrod S., Keysers C. | 2012 | Trends in Cognitive Sciences 16(2), pp. 114-121 | 324 | Review | USA |
| 25 | Consanguinity and its relevance to clinical genetics | Bittles A.H. | 2001 | Clinical Genetics 60(2), pp. 89-98 | 323 | Review | Australia |
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 ).
Fig. 6.Tree map of top 10 funding bodies globally between 2001–2018 ranked by number (indicated in brackets) of publications.
Fig. 7.Percentage of grants and funding awarded to social and affective neuroscience projects over successive three-year periods between 2001 and 2018.
Abbreviations and terminology
| Term | Definition |
| Social neuroscience | The 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 neuroscience | Associated 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 neuroscience | Examines social phenomena and processes using cognitive neuroscience tools such as neuroimaging and neuropsychology3 |
| Australasia | A region of Oceania comprising Australia, New Zealand, New Guinea, and neighbouring islands in the Pacific Ocean |
| Asia-Pacific | A 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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