Evidence map›Paper›PMID 32697714›Full record

ArticleJournal of affective disorders2020

Person-based similarity in brain structure and functional connectivity in bipolar disorder.

Gaelle E Doucet, David C Glahn, Sophia Frangou

Abstract read
In one paragraph

Article in Journal of affective disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

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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

3 authors.

Gaelle E DoucetDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Boys Town National Research Hospital, Omaha, NE, United States.
David C GlahnTommy Fuss Center for Neuropsychiatric Disease Research, Boston Children's Hospital, Boston, Harvard University, MA, United States.
Sophia FrangouDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Centre for Brain Health, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada. Electronic address: sophia.frangou@mssm.edu.

Funding

Translational Imaging and Behavioral Assessment (TIBA) CoreP20GM130447 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Anna Dunaevsky · 2020 to 2026
$20.7M
Genetics of Brain Structure and FunctionR01MH078143 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2006 to 2014
$4.3M
Gene Networks Influencing Psychotic Dysconnectivity in African AmericansR01MH106324 · NIMH · YALE UNIVERSITY · PI BLANGERO, JOHN, GLAHN, DAVID C · 2015 to 2019
$4.2M
Insulin Resistance and Accelerated Cognitive AgingR01AG050345 · NIA · STANFORD UNIVERSITY · PI RASGON, NATALIE L · 2016 to 2020
$3.7M
Brain connectivity and the role of myelin in PsychosisR01MH113619 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FRANGOU, SOPHIA · 2018 to 2021
$2.5M
ENIGMA-SD: Understanding Sex Differences in Global Mental Health through ENIGMAR01MH116147 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2018 to 2021
$2.5M
Deconstructing Psychoses Based on Patterns of Abnormal Brain ActivityR01MH104284 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FRANGOU, SOPHIA · 2014 to 2017
$2.4M
Atlas55+: Creation and Validation of a Reference Brain Functional Atlas for Late AdulthoodR03AG064001 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DOUCET, GAELLE EVE · 2019 to 2020
$162k
NIA NIH HHS R01 AG050345NIA NIH HHS R03 AG064001NIGMS NIH HHS P20 GM130447NIMH NIH HHS R01 MH078143NIMH NIH HHS R01 MH104284NIMH NIH HHS R01 MH106324NIMH NIH HHS R01 MH113619NIMH NIH HHS R01 MH116147
6 · The paper itself

Abstract

backgroundBipolar disorder shows significant variability in clinical presentation. Here we adopt a personalized approach to quantify the brain structural and functional similarity of each individual patient to other patients and to healthy individuals.

methodsBrain morphometric and resting-state functional connectivity measures from two independent samples of patients with bipolar disorder and healthy individuals (total number of participants=215) were modeled as single vectors to generated individualized morphometric and connectivity profiles. These profiles were then used to compute a person-based similarity indices which quantified the similarity in neuroimaging profiles amongst patients and between patients and health individuals.

resultsThe morphometric and connectivity profiles of patients showed within-diagnosis similarity which was comparable to that observed in healthy individuals. They also showed minimal deviance from those of healthy individuals; the correlation between the profiles of patients and healthy individuals was high (range: 0.71-0.94, p<10 LIMITATIONS: We focused on patients with Bipolar disorder, type I only.

conclusionsHigh inter-individual similarity in neuroimaging profiles was observed amongst patients with bipolar disorder and between patients and healthy individuals. We infer that brain alterations associated with bipolar disorder may be nested within the normal biological diversity consistent with the high prevalence of mood symptoms in the general population.

Indexed as

Bipolar DisorderAffectBrainHumansMagnetic Resonance ImagingNeuroimagingBipolar disorderInter-individual correlationMagnetic resonance imaging, normative modelingResting-state

Identifiers

PMID32697714
PMCPMC7568424

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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.