Evidence map›Paper›PMID 32648915›Full record

ArticleSchizophrenia bulletin2021

Individual Variation in Functional Brain Network Topography is Linked to Schizophrenia Symptomatology.

Uzma Nawaz, Ivy Lee, Adam Beermann, Shaun Eack, Matcheri Keshavan, Roscoe Brady

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05343598 (Empirical Validation of a Cerebellar-cortical Hallucination Circuit), which is not on this map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% of its field
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.

NCT05343598 narecruitingnot on this map

Empirical Validation of a Cerebellar-cortical Hallucination Circuit

TypeinterventionalSponsorMclean HospitalRan2021 to 2026Enrolled68ConditionsSchizophrenia, Schizo Affective DisorderArmsRepetitive Transcranial Magnetic Stimulation (rTMS), Sham Repetitive Transcranial Magnetic Stimulation (rTMS)
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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  14. Group-level comparison of brain connectivity networks.BMC medical research methodology · 2022
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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

6 authors at 3 institutions in 1 country.

Uzma NawazDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Ivy LeeDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Adam BeermannDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Shaun EackSchool of Social Work and Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania.
Matcheri KeshavanDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Roscoe BradyDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Harvard University · USBeth Israel Deaconess Medical Center · USUniversity of Pittsburgh · US

Funding

Network Mediation of Experiential and Expressive Deficits in Psychotic DisordersR01MH116170 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Roscoe O. Brady, KATHRYN Eve LEWANDOWSKI · 2019 to 2026
$5.4M
Brain Imaging, Cognitive Enhancement and Early SchizophreniaR01MH092440 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI KESHAVAN, MATCHERI S. · 2012 to 2016
$3.1M
Longitudinal Imaging Studies in Bipolar DisorderK23MH100623 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI BRADY, ROSCOE O. · 2014 to 2018
$883k
NIMH NIH HHS K23 MH100623NIMH NIH HHS R01 MH092440NIMH NIH HHS R01 MH116170
6 · The paper itself

Abstract

Resting-state fMRI (rsfMRI) demonstrates that the brain is organized into distributed networks. Numerous studies have examined links between psychiatric symptomatology and network functional connectivity. Traditional rsfMRI analyses assume that the spatial organization of networks is invariant between individuals. This dogma has recently been overturned by the demonstration that networks show significant variation between individuals. We tested the hypothesis that previously observed relationships between schizophrenia-negative symptom severity and network connectivity are actually due to individual differences in network spatial organization. Forty-four participants diagnosed with schizophrenia underwent rsfMRI scans and clinical assessments. A multivariate pattern analysis determined how whole-brain functional connectivity correlates with negative symptom severity at the individual voxel level. Brain connectivity to a region of the right dorsolateral prefrontal cortex correlates with negative symptom severity. This finding results from individual differences in the topographic distribution of 2 networks: the default mode network (DMN) and the task-positive network (TPN). Both networks demonstrate strong (r = ~0.49) and significant (P < .001) relationships between topography and symptom severity. For individuals with low symptom severity, this critical region is part of the DMN. In highly symptomatic individuals, this region is part of the TPN. Previously overlooked individual variation in brain organization is tightly linked to differences in schizophrenia symptom severity. Recognizing critical links between network topography and pathological symptomology may identify key circuits that underlie cognitive and behavioral phenotypes. Individual variation in network topography likely guides different responses to clinical interventions that rely on anatomical targeting (eg, transcranial magnetic stimulation [TMS]).

Indexed as

ConnectomeAdultDefault Mode NetworkFemaleHumansIndividualityMagnetic Resonance ImagingMaleNerve NetPrefrontal CortexPsychotic DisordersSchizophreniaSeverity of Illness IndexYoung Adultpsychosispsychosocial treatmentsschizophrenia

Identifiers

PMID32648915
PMCPMC7824998
OpenAlexW3041908961

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.