Dr Heather Whalley
Senior Research Fellow
- Centre for Clinical Brain Sciences
- Centre for Genomic and Experimental Medicine
Contact details
- Email: heather.whalley@ed.ac.uk
Background
Dr Whalley graduated in neuroscience at the University of Edinburgh, and subsequently completed an MSc by Research (with distinction) along with her PhD in the field of neuroimaging at the Division of Psychiatry, Centre for Clinical Brain Sciences.
She previously held a Royal Society Dorothy Hodgkin fellowship and a Royal College of Physicians of Edinburgh JMAS SIM fellowship and is currently an ESAT Fellow at the University.
Research summary
Dr Whalley's main area of research interest is to link neuroimaging techniques with underlying biology in a bottom-up approach in order to better understand debilitating neuropsychiatric disorders, particularly in adolescence. Her research therefore focuses on how causal risk factors contribute to disease in terms of their impact on brain structure and function.
Related links
Psychiatric disorders research at the Centre for Clinical Brain Sciences
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Automated classification of depression from structural brain measures across two independent community‐based cohorts
In:
Human Brain Mapping
DOI: https://doi.org/10.1002/hbm.25095
Research output: Contribution to Journal › Article (Published) -
Epigenetic prediction of major depressive disorder
In:
Molecular Psychiatry
DOI: https://doi.org/10.1038/s41380-020-0808-3
Research output: Contribution to Journal › Article (E-pub ahead of print) -
ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing
In:
Translational Psychiatry, vol. 10
DOI: https://doi.org/10.1038/s41398-020-0842-6
Research output: Contribution to Journal › Review article (Published) -
Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders: Evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group
In:
Molecular Psychiatry
DOI: https://doi.org/10.1038/s41380-020-0774-9
Research output: Contribution to Journal › Article (Published) -
Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group
In:
Molecular Psychiatry
DOI: https://doi.org/10.1038/s41380-020-0754-0
Research output: Contribution to Journal › Article (Published) -
An automated machine learning approach to predict brain age from cortical anatomical measures
In:
Human Brain Mapping
DOI: https://doi.org/10.1002/hbm.25028
Research output: Contribution to Journal › Article (Published) -
Are working memory and glutamate concentrations involved in early-life stress and severity of psychosis?
In:
Brain and Behavior, pp. e01616
DOI: https://doi.org/10.1002/brb3.1616
Research output: Contribution to Journal › Article (Published) -
Blunted Medial Prefrontal Cortico-Limbic Reward-Related Effective Connectivity and Depression
In:
Brain
DOI: https://doi.org/10.1093/brain/awaa106
Research output: Contribution to Journal › Article (Published) -
A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank
In:
Nature Communications, vol. 11
DOI: https://doi.org/10.1038/s41467-020-16022-0
Research output: Contribution to Journal › Article (Published) -
Psychotic-like experiences, polygenic risk scores for schizophrenia, and structural properties of the salience, default mode, and central-executive networks in healthy participants from UK Biobank
In:
Translational Psychiatry, vol. 10
DOI: https://doi.org/10.1038/s41398-020-0794-x
Research output: Contribution to Journal › Article (Published)