Evidence map›Paper›PMID 39829963›Full record

ArticleBiological psychiatry global open science2024

Size and Topography of the Brain's Functional Networks with Psychotic Experiences, Schizophrenia, and Bipolar Disorder.

Daniel Mamah, Shing Shiun Chen, Evan Gordon, Sridhar Kandala, Deanna M Barch, Michael P Harms

Abstract read
In one paragraph

Article in Biological psychiatry global open science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Daniel MamahDepartment of Psychiatry, Washington University Medical School, St Louis, Missouri.
Shing Shiun ChenDepartment of Psychiatry, Washington University Medical School, St Louis, Missouri.
Evan GordonDepartment of Radiology, Washington University Medical School, St Louis, Missouri.
Sridhar KandalaDepartment of Psychiatry, Washington University Medical School, St Louis, Missouri.
Deanna M BarchDepartment of Psychiatry, Washington University Medical School, St Louis, Missouri.
Michael P HarmsDepartment of Psychiatry, Washington University Medical School, St Louis, Missouri.

Funding

CONNECTOMICS IN PSYCHIATRIC CLASSIFICATIONR01MH104414 · NIMH · WASHINGTON UNIVERSITY · PI MAMAH, DANIEL · 2014 to 2018
$2.6M
NIMH NIH HHS R01 MH104414
6 · The paper itself

Abstract

Background: Existing functional connectivity studies of psychosis use population-averaged functional network maps, despite highly variable topographies of these networks across the brain surface. We aimed to define the functional network areas and topographies in the general population and the changes associated with psychotic experiences (PEs) and disorders. Methods: Maps of 8 functional networks were generated using an individual-specific template-matching procedure for each participant from the Human Connectome Project Young Adult cohort ( Results: In Human Connectome Project Young Adult participants, PE severity on the Achenbach thought problems scale was predicted by increased language network (LAN) and dorsal attention network (DAN) areas and decreased cingulo-opercular network area ( Conclusions: Those with PEs and SCZ showed abnormal functional network cortical topographies, particularly involving DAN and LAN. Network findings may predict psychosis progression and guide earlier intervention.

Indexed as

Bipolar disorderFunctional connectivityHuman Connectome ProjectPsychotic experiencesSchizophrenia

Identifiers

PMID39829963
PMCPMC11740805

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Registered trials

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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.