Evidence map›Paper›PMID 27217146›Full record

SynthesisMolecular psychiatry2017

Common and distinct patterns of grey-matter volume alteration in major depression and bipolar disorder: evidence from voxel-based meta-analysis.

T Wise, J Radua, E Via, N Cardoner, O Abe, T M Adams, F Amico, Y Cheng, J H Cole, C de Azevedo Marques Périco and 30 more

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Molecular psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 266 papers, 24 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
266citing papers in PubMed, 24 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

266 citing papers in PubMed, 24 syntheses or guidelines pooled it.

  1. Transdiagnostic mapping of common and specific regional homogeneity alterations across affective and psychotic disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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206 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

40 authors.

T WiseDepartment of Psychological Medicine, Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
J RaduaDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
E ViaMental Health, Parc Taulí Sabadell-CIBERSAM, University Hospital, Sabadell, Barcelona, Spain.
N CardonerMental Health, Parc Taulí Sabadell-CIBERSAM, University Hospital, Sabadell, Barcelona, Spain.
O AbeDepartment of Radiology, Nihon University School of Medicine, Tokyo, Japan.ORCID 0000-0002-1180-2629
T M AdamsDepartment of Psychological Medicine, Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
F AmicoDepartment of Psychiatry, Trinity College Institute of Neuroscience, Trinity College, Dublin, Ireland.
Y ChengDepartment of Psychiatry, The 1st Affiliated Hospital of Kunming Medical University, Kunming, PR China.
J H ColeComputational, Cognitive and Clinical Neuroimaging Laboratory, Department of Medicine, Imperial College London, London, UK.
C de Azevedo Marques PéricoDepartment of Neuroscience, Medical School, Fundação do ABC, Santo André, SP, Brazil.
D P DicksteinPediMIND Program, Bradley Hospital, Department of Psychiatry, Brown University, East Providence, RI, USA.
T F D FarrowAcademic Clinical Neurology, Department of Neuroscience, University of Sheffield, Sheffield, UK.
T FrodlDepartment of Psychiatry and Psychotherapy, Otto-von-Guericke University, Magdeburg, Germany.
G WagnerPsychiatric Brain and Body Research Group Jena, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany.
I H GotlibDepartment of Psychology, Stanford University, Stanford, CA, USA.
O GruberSection for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany.
B J HamDepartment of Psychiatry, Korea University College of Medicine, Seoul, South Korea.
D E JobNeuroimaging Sciences, University of Edinburgh, Edinburgh, UK.
M J KemptonDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
M J KimDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA.
P C M P KoolschijnDepartment of Psychology, Dutch Autism and ADHD Research Center, Brain and Cognition, University of Amsterdam, Amsterdam, The Netherlands.
G S MalhiCADE Clinic, Discipline of Psychiatry, Sydney Medical School, University of Sydney, Sydney, NSW, Australia.
D Mataix-ColsDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
A M McIntoshDivision of Psychiatry, University of Edinburgh, Edinburgh, UK.
A C NugentExperimental Therapeutics and Pathophysiology Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
J T O'BrienInstitute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK.
S PezzoliDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
M L PhillipsDepartment of Psychiatry, University of Pittsburgh, School of Medicine, Pittsburgh, PA.
P S SachdevCentre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Randwick, NSW, Australia.
G SalvadoreJanssen Research and Development, Titusville, NJ, USA.
S SelvarajDepartment of Psychiatry and Behavioral Sciences, Center of Excellence on Mood Disorders, Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.
A C StanfieldThe Patrick Wild Centre, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK.
A J ThomasInstitute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK.
M J van TolNeuroImaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
N J A van der WeeDepartment of Psychiatry, Leiden University Medical Center, Leiden University, Leiden, The Netherlands.
D J VeltmanDepartment of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands.
A H YoungDepartment of Psychological Medicine, Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
C H FuDepartment of Psychological Medicine, Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
A J CleareDepartment of Psychological Medicine, Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
D ArnoneDepartment of Psychological Medicine, Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Funding

The neural network of OCD, linking NHP and human studiesP50MH106435 · NIMH · UNIVERSITY OF ROCHESTER · PI STEVEN A RASMUSSEN · 2015 to 2026
$28.9M
Children of Bipolar Parents: A High Risk Follow Up Study (also known as Bipolar Offspring Study - BIOS)R01MH060952 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BIRMAHER, BORIS, PHILLIPS, MARY LOUISE · 2001 to 2020
$20.4M
Longitudinal Assessment of Manic Symptoms (LAMS)R01MH073953 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BIRMAHER, BORIS, PHILLIPS, MARY LOUISE · 2005 to 2016
$8.7M
Department of HealthMedical Research Council G0400074Medical Research Council G0502157Medical Research Council G0802594Medical Research Council G0900652Medical Research Council G1100540Medical Research Council MR/J008915/1Medical Research Council MR/K026992/1NIMH NIH HHS P50 MH106435NIMH NIH HHS R01 MH060952NIMH NIH HHS R01 MH073953Wellcome Trust 104036
6 · The paper itself

Abstract

Finding robust brain substrates of mood disorders is an important target for research. The degree to which major depression (MDD) and bipolar disorder (BD) are associated with common and/or distinct patterns of volumetric changes is nevertheless unclear. Furthermore, the extant literature is heterogeneous with respect to the nature of these changes. We report a meta-analysis of voxel-based morphometry (VBM) studies in MDD and BD. We identified studies published up to January 2015 that compared grey matter in MDD (50 data sets including 4101 individuals) and BD (36 data sets including 2407 individuals) using whole-brain VBM. We used statistical maps from the studies included where available and reported peak coordinates otherwise. Group comparisons and conjunction analyses identified regions in which the disorders showed common and distinct patterns of volumetric alteration. Both disorders were associated with lower grey-matter volume relative to healthy individuals in a number of areas. Conjunction analysis showed smaller volumes in both disorders in clusters in the dorsomedial and ventromedial prefrontal cortex, including the anterior cingulate cortex and bilateral insula. Group comparisons indicated that findings of smaller grey-matter volumes relative to controls in the right dorsolateral prefrontal cortex and left hippocampus, along with cerebellar, temporal and parietal regions were more substantial in major depression. These results suggest that MDD and BD are characterised by both common and distinct patterns of grey-matter volume changes. This combination of differences and similarities has the potential to inform the development of diagnostic biomarkers for these conditions.

Indexed as

AdultBipolar DisorderBrainCase-Control StudiesFemaleGray MatterHumansMagnetic Resonance ImagingMajor Depressive DisorderMaleNeuroimagingPrefrontal Cortex

Identifiers

PMID27217146
PMCPMC5622121

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.