Evidence map›Paper›PMID 38472253›Full record

ArticleSchizophrenia (Heidelberg, Germany)2024

Cortical white matter microstructural alterations underlying the impaired gamma-band auditory steady-state response in schizophrenia.

Daisuke Koshiyama, Ryoichi Nishimura, Kaori Usui, Mao Fujioka, Mariko Tada, Kenji Kirihara, Tsuyoshi Araki, Shintaro Kawakami, Naohiro Okada, Shinsuke Koike and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Schizophrenia (Heidelberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 47% 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

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

  1. Pooled it
  2. Article
  3. Article
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

13 authors at 6 institutions in 2 countries.

Daisuke KoshiyamaDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Ryoichi NishimuraDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kaori UsuiDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Mao FujiokaDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Mariko TadaDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kenji KiriharaDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Tsuyoshi ArakiDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Shintaro KawakamiDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Naohiro OkadaDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-8338-2758
Shinsuke KoikeDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hidenori YamasueDepartment of Psychiatry, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Osamu AbeDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-1180-2629
Kiyoto KasaiDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. kasaik-tky@g.ecc.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0002-4443-4535
The University of Tokyo · JPDepartment of Health Services · NPHamamatsu University School of Medicine · JPNational Center of Neurology and Psychiatry · JPRIKEN Center for Advanced Intelligence Project · JPTeikyo University Hospital · JP

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) JP18K07588, JP22K07573MEXT | Japan Society for the Promotion of Science (JSPS) JP19K17105, JP21H05176MEXT | Japan Society for the Promotion of Science (JSPS) JP22K15760
6 · The paper itself

Abstract

The gamma-band auditory steady-state response (ASSR), primarily generated from the auditory cortex, has received substantial attention as a potential brain marker indicating the pathophysiology of schizophrenia. Previous studies have shown reduced gamma-band ASSR in patients with schizophrenia and demonstrated correlations with impaired neurocognition and psychosocial functioning. Recent studies in clinical and healthy populations have suggested that the neural substrates of reduced gamma-band ASSR may be distributed throughout the cortices surrounding the auditory cortex, especially in the right hemisphere. This study aimed to investigate associations between the gamma-band ASSR and white matter alterations in the bundles broadly connecting the right frontal, parietal and occipital cortices to clarify the networks underlying reduced gamma-band ASSR in patients with schizophrenia. We measured the 40 Hz ASSR using electroencephalography and diffusion tensor imaging in 42 patients with schizophrenia and 22 healthy comparison subjects. The results showed that the gamma-band ASSR was positively correlated with fractional anisotropy (an index of white matter integrity) in the regions connecting the right frontal, parietal and occipital cortices in healthy subjects (β = 0.41, corrected p = 0.075, uncorrected p = 0.038) but not in patients with schizophrenia (β = 0.17, corrected p = 0.46, uncorrected p = 0.23). These findings support our hypothesis that the generation of gamma-band ASSR is supported by white matter bundles that broadly connect the cortices and that these relationships may be disrupted in schizophrenia. Our study may help characterize and interpret reduced gamma-band ASSR as a useful brain marker of schizophrenia.

Identifiers

PMID38472253
PMCPMC10933284
OpenAlexW4392717031

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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.