Literature DB >> 22856376

The TWIN-E project in emotional wellbeing: study protocol and preliminary heritability results across four MRI and DTI measures.

Justine M Gatt1, Mayuresh S Korgaonkar, Peter R Schofield, Anthony Harris, C Richard Clark, Karen L Oakley, Kaushik Ram, Hope Michaelson, Sarsha Yap, Melinda Stanners, Vikki Wise, Leanne M Williams.   

Abstract

Despite the significant advancements being made in the neurogenetics for mental health, the identification and validation of potential endophenotype markers of risk and resilience remain to be confirmed. The TWIN-E study (The Twin study in Wellbeing using Integrative Neuroscience of Emotion) aims to validate endophenotype markers of mental health across cognitive, brain, and autonomic measures by testing the heritability, clinical plausibility, and reliability of each of these measures in a large adult twin cohort. The specific gene and environmental mechanisms that moderate prospective links between endophenotype-phenotype markers and the final outcome of wellbeing will also be identified. TWIN-E is a national prospective study with three phases: I) baseline testing on a battery of online questionnaires and cognitive tasks, and EEG, MRI, and autonomic testing; II) 12-month follow-up testing on the online assessments; and III) randomized controlled trial of brain training. Minimum target numbers include 1,500 male/female twins (18-65 years) for the online assessments (Phase I and II), 300 twins for the EEG testing component, and 244 twins for the MRI testing component. For Phase III, each twin out of the pair will be randomized to either the treatment or waitlist control group to test the effects of brain training on mental health over a 30-day period, and to confirm the gene-environment and endophenotype contributions to treatment response. Preliminary heritability results are provided for the first 50% of the MRI subgroup (n = 142) for the grey matter volume, thickness, and surface area measures, and white matter diffuse tensor imaging fractional anisotropy.

Mesh:

Year:  2012        PMID: 22856376     DOI: 10.1017/thg.2012.12

Source DB:  PubMed          Journal:  Twin Res Hum Genet        ISSN: 1832-4274            Impact factor:   1.587


  19 in total

1.  Establishing the resting state default mode network derived from functional magnetic resonance imaging tasks as an endophenotype: A twins study.

Authors:  Mayuresh S Korgaonkar; Kaushik Ram; Leanne M Williams; Justine M Gatt; Stuart M Grieve
Journal:  Hum Brain Mapp       Date:  2014-01-22       Impact factor: 5.038

2.  Genetics and brain morphology.

Authors:  Lachlan T Strike; Baptiste Couvy-Duchesne; Narelle K Hansell; Gabriel Cuellar-Partida; Sarah E Medland; Margaret J Wright
Journal:  Neuropsychol Rev       Date:  2015-03-14       Impact factor: 7.444

3.  Resilience and White Matter Integrity in Geriatric Depression.

Authors:  Roza M Vlasova; Prabha Siddarth; Beatrix Krause; Amber M Leaver; Kelsey T Laird; Natalie St Cyr; Katherine L Narr; Helen Lavretsky
Journal:  Am J Geriatr Psychiatry       Date:  2018-04-23       Impact factor: 4.105

4.  A negative association between brainstem pontine grey-matter volume, well-being and resilience in healthy twins

Authors:  Justine M. Gatt; Karen L.O. Burton; Kylie M. Routledge; Katrina L. Grasby; Mayuresh S. Korgaonkar; Stuart M. Grieve; Peter R. Schofield; Anthony W.F. Harris; C. Richard Clark; Leanne M. Williams
Journal:  J Psychiatry Neurosci       Date:  2018-11-01       Impact factor: 6.186

5.  A negative association between brainstem pontine grey-matter volume, well-being and resilience in healthy twins.

Authors:  Justine M Gatt; Karen L O Burton; Kylie M Routledge; Katrina L Grasby; Mayuresh S Korgaonkar; Stuart M Grieve; Peter R Schofield; Anthony W F Harris; C Richard Clark; Leanne M Williams
Journal:  J Psychiatry Neurosci       Date:  2018-06-20       Impact factor: 6.186

6.  Structural connectivity and risk for anhedonia after trauma: A prospective study and replication.

Authors:  Negar Fani; Vasiliki Michopoulos; Sanne J H van Rooij; Cherita Clendinen; Raven A Hardy; Tanja Jovanovic; Barbara O Rothbaum; Kerry J Ressler; Jennifer S Stevens
Journal:  J Psychiatr Res       Date:  2019-05-14       Impact factor: 4.791

7.  Neuroimaging and genetics: exploring, searching, and finding.

Authors:  Dirk J A Smit; Dennis van 't Ent; Greig de Zubicaray; Jason L Stein
Journal:  Twin Res Hum Genet       Date:  2012-06       Impact factor: 1.587

8.  Genetics of brain structure: contributions from the Vietnam Era Twin Study of Aging.

Authors:  William S Kremen; Christine Fennema-Notestine; Lisa T Eyler; Matthew S Panizzon; Chi-Hua Chen; Carol E Franz; Michael J Lyons; Wesley K Thompson; Anders M Dale
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2013-10       Impact factor: 3.568

9.  Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: a pilot project of the ENIGMA-DTI working group.

Authors:  Neda Jahanshad; Peter V Kochunov; Emma Sprooten; René C Mandl; Thomas E Nichols; Laura Almasy; John Blangero; Rachel M Brouwer; Joanne E Curran; Greig I de Zubicaray; Ravi Duggirala; Peter T Fox; L Elliot Hong; Bennett A Landman; Nicholas G Martin; Katie L McMahon; Sarah E Medland; Braxton D Mitchell; Rene L Olvera; Charles P Peterson; John M Starr; Jessika E Sussmann; Arthur W Toga; Joanna M Wardlaw; Margaret J Wright; Hilleke E Hulshoff Pol; Mark E Bastin; Andrew M McIntosh; Ian J Deary; Paul M Thompson; David C Glahn
Journal:  Neuroimage       Date:  2013-04-28       Impact factor: 6.556

10.  Brain imaging predictors and the international study to predict optimized treatment for depression: study protocol for a randomized controlled trial.

Authors:  Stuart M Grieve; Mayuresh S Korgaonkar; Amit Etkin; Anthony Harris; Stephen H Koslow; Stephen Wisniewski; Alan F Schatzberg; Charles B Nemeroff; Evian Gordon; Leanne M Williams
Journal:  Trials       Date:  2013-07-18       Impact factor: 2.279

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