Evidence map›Paper›PMID 36875232›Full record

ArticleFrontiers in human neuroscience2023

Abnormal resting-state functional connectivity underlies cognitive and clinical symptoms in patients with schizophrenia.

Yingxin Jia, Namasvi Jariwala, Leighton B N Hinkley, Srikantan Nagarajan, Karuna Subramaniam

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 16% 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.

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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Yingxin JiaDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
Namasvi JariwalaDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
Leighton B N HinkleyDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
Srikantan NagarajanDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
Karuna SubramaniamDepartment of Psychiatry, University of California, San Francisco, San Francisco, CA, United States.
University of California, San Francisco · US

Funding

Causal Role of Medial Prefrontal Neural Activity in Self-Agency in Schizophrenia (Admin Suppl)R01MH122897 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SUBRAMANIAM, KARUNA · 2020 to 2024
$4.4M
NIMH NIH HHS R01 MH122897
6 · The paper itself

Abstract

Introduction: The cognitive and psychotic symptoms in patients with schizophrenia (SZ) are thought to result from disrupted brain network connectivity. Methods: We capitalize on the high spatiotemporal resolution of magnetoencephalography imaging (MEG) to record spontaneous neuronal activity in resting state networks in 21 SZ compared with 21 healthy controls (HC). Results: We found that SZ showed significant global disrupted functional connectivity in delta-theta (2-8 Hz), alpha (8-12 Hz), and beta (12-30 Hz) frequencies, compared to HC. Disrupted global connectivity in alpha frequencies with bilateral frontal cortices was associated with more severe clinical psychopathology (i.e., positive psychotic symptoms). Specifically, aberrant connectivity in beta frequencies between the left primary auditory cortex and cerebellum, was linked to greater hallucination severity in SZ. Disrupted connectivity in delta-theta frequencies between the medial frontal and left inferior frontal cortex was associated with impaired cognition. Discussion: The multivariate techniques employed in the present study highlight the importance of applying our source reconstruction techniques which leverage the high spatial localization abilities of MEG for estimating neural source activity using beamforming methods such as SAM (synthetic aperture morphometry) to reconstruct the source of brain activity, together with functional connectivity assessments, assayed with imaginary coherence metrics, to delineate how neurophysiological dysconnectivity in specific oscillatory frequencies between distinct regions underlie the cognitive and psychotic symptoms in SZ. The present findings employ powerful techniques in spatial and time-frequency domains to provide potential neural biomarkers underlying neuronal network dysconnectivity in SZ that will inform the development of innovations in future neuromodulation treatment development.

Indexed as

cognitive symptomsmagnetoencephalographypsychotic symptomsresting stateschizophrenia

Identifiers

PMID36875232
PMCPMC9976937
OpenAlexW4320920871

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.