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Enhancing Neuroimaging Genetics through Meta-analysis (ENIGMA): Antisocial Behavior working group

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  • Full or part time
    Dr S De Brito
    Dr P Tino
  • Application Deadline
    Applications accepted all year round
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK Students Only)

Project Description

ENIGMA is an international collaborative effort that brings together over 1400 researchers across 43 countries to better understand brain structure, function, health and disease, based on meta-/mega-analyses of brain imaging and genetic data (http://enigma.ini.usc.edu). There are currently over 50 active ENIGMA working groups covering various fields within psychiatry and neuroscience (see our recent review https://psyarxiv.com/qnsh7/).We have recently set-up the ENIGMA Antisocial Behaviour working group on which the student will work.

Despite notable advances in recent years, the overall impact and replicability of work in this field has been limited by small sample sizes and heterogeneous participant characteristics, imaging acquisition methods, and data analysis techniques. The harmonized meta-analytical approach of ENIGMA allows one to address these challenges more adequately, gain deeper insights into underlying pathophysiology, and generate more reproducible and generalizable findings.

The ENIGMA Antisocial Behavior initiative will focus on data covering the entire lifespan; this includes structural and functional MRI data on Conduct Problems/Disorder in youths, as well as Antisocial Personality Disorder/Psychopathy in adults. Analyses will not only be focused on disorders and categorical approaches, but also dimensional approaches where neuroimaging/genetics data that can be linked to dimensional measures indexing antisocial and externalizing behaviors in both clinical/forensic and community samples. The student working on this project will have the opportunity to liaise and network with researchers across the globe.The project will combine and train the student in methods from psychology, neuroimaging, and computer/data science, which together will put this project at the forefront of research on antisocial behaviour.

Funding Notes

This studentship is competition funded by the BBSRC MIBTP scheme: https://warwick.ac.uk/fac/cross_fac/mibtp/pgstudy/phd_opportunities/ and https://www.birmingham.ac.uk/research/activity/mibtp/index.aspx

Please read the eligibility criteria: https://warwick.ac.uk/fac/cross_fac/mibtp/pgstudy/phd_opportunities/application/

Deadline: January, 2020 (exact date TBC)

Number of Studentships available at UOB: 18

***IMPORTANT*** Prior to submitting a PhD application to the University of Birmingham, all interested candidates should first contact Dr De Brito at [Email Address Removed]. Following this, only applicants with the most competitive CV will be requested to submit a PhD application using the University of Birmingham on-line application system. Candidates should submit a personal statement, CV, 2 references, and transcript of grades.

References

Fairchild, G., […], De Brito, S. A. (2019). Nat Rev Dis Primers. 27;5(1):43.
Teicher, et al., (2016) Nat Rev Neurosci. 17: 652-66.
Bearden and Thompson (2017). Neuron. 94(2): 232 – 236
Rogers and De Brito (2016). JAMA Psychiatry73(1):64-72

How good is research at University of Birmingham in Psychology, Psychiatry and Neuroscience?

FTE Category A staff submitted: 40.80

Research output data provided by the Research Excellence Framework (REF)

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