Evidence map›Paper›PMID 38923051›Full record

ArticlePsychiatry and clinical neurosciences2024

Multivariate sharp-wave ripples in schizophrenia during awake state.

Takefumi Ohki, Zenas C Chao, Yuichi Takei, Yutaka Kato, Masakazu Sunaga, Tomohiro Suto, Minami Tagawa, Masato Fukuda

Abstract read
In one paragraph

Article in Psychiatry and clinical neurosciences, 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. The hippocampus as a generative model.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
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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

8 authors.

Takefumi OhkiInternational Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-6850-047X
Zenas C ChaoInternational Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Tokyo, Japan.
Yuichi TakeiDepartment of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, Japan.ORCID https://orcid.org/0000-0002-8080-3043
Yutaka KatoDepartment of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, Japan.ORCID https://orcid.org/0000-0001-7622-5001
Masakazu SunagaDepartment of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, Japan.
Tomohiro SutoGunma Prefectural Psychiatric Medical Center, Isesaki, Japan.
Minami TagawaDepartment of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, Japan.
Masato FukudaDepartment of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, Japan.

Funding

Japan Society for the Promotion of Science KAKENHI 23K14679Takefumi Ohki 19K08038
6 · The paper itself

Abstract

aimsSchizophrenia (SZ) is a brain disorder characterized by psychotic symptoms and cognitive dysfunction. Recently, irregularities in sharp-wave ripples (SPW-Rs) have been reported in SZ. As SPW-Rs play a critical role in memory, their irregularities can cause psychotic symptoms and cognitive dysfunction in patients with SZ. In this study, we investigated the SPW-Rs in human SZ.

methodsWe measured whole-brain activity using magnetoencephalography (MEG) in patients with SZ (n = 20) and sex- and age-matched healthy participants (n = 20) during open-eye rest. We identified SPW-Rs and analyzed their occurrence and time-frequency traits. Furthermore, we developed a novel multivariate analysis method, termed "ripple-gedMEG" to extract the global features of SPW-Rs. We also examined the association between SPW-Rs and brain state transitions. The outcomes of these analyses were modeled to predict the positive and negative syndrome scale (PANSS) scores of SZ.

resultsWe found that SPW-Rs in the SZ (1) occurred more frequently, (2) the delay of the coupling phase (3) appeared in different brain areas, (4) consisted of a less organized spatiotemporal pattern, and (5) were less involved in brain state transitions. Finally, some of the neural features associated with the SPW-Rs were found to be PANSS-positive, a pathological indicator of SZ. These results suggest that widespread but disorganized SPW-Rs underlies the symptoms of SZ.

conclusionWe identified irregularities in SPW-Rs in SZ and confirmed that their alternations were strongly associated with SZ neuropathology. These results suggest a new direction for human SZ research.

Indexed as

MagnetoencephalographySchizophreniaAdultBrainFemaleHumansMaleMultivariate AnalysisWakefulnessYoung Adultenergy landscape analysisgeneralized eigendecompositionneural oscillationsphase‐amplitude couplingspontaneous activity

Identifiers

PMID38923051
PMCPMC11488617

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