Evidence map›Paper›PMID 38348613›Full record

ArticleNeuropsychopharmacology reports2024

Longitudinal reduction in brain volume in patients with schizophrenia and its association with cognitive function.

Ryuichi Yamazaki, Junya Matsumoto, Satsuki Ito, Kiyotaka Nemoto, Masaki Fukunaga, Naoki Hashimoto, Fumitoshi Kodaka, Harumasa Takano, Naomi Hasegawa, Yuka Yasuda and 5 more

Abstract read
In one paragraph

Article in Neuropsychopharmacology reports, 2024. 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
–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

5 citing papers in PubMed.

  1. Whole brain grey matter synaptic terminal density, age and intellectual functioning in schizophrenia: an in vivo [Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 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

15 authors.

Ryuichi YamazakiDepartment of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan.
Junya MatsumotoDepartment of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan.ORCID https://orcid.org/0000-0003-4228-3208
Satsuki ItoDepartment of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan.
Kiyotaka NemotoDepartment of Psychiatry, Institute of Medicine, University of Tsukuba, Tsukuba, Japan.
Masaki FukunagaSection of Brain Function Information, National Institute for Physiological Sciences, Okazaki, Japan.
Naoki HashimotoDepartment of Psychiatry, Hokkaido University Graduate School of Medicine, Sapporo, Japan.ORCID https://orcid.org/0000-0001-8311-7148
Fumitoshi KodakaDepartment of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan.ORCID https://orcid.org/0000-0002-9296-5736
Harumasa TakanoDepartment of Clinical Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Japan.
Naomi HasegawaDepartment of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan.
Yuka YasudaDepartment of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan.
Michiko FujimotoDepartment of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan.
Hidenaga YamamoriDepartment of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan.
Yoshiyuki WatanabeDepartment of Radiology, Shiga University of Medical Science, Otsu, Japan.
Kenichiro MiuraDepartment of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan.ORCID https://orcid.org/0000-0002-3722-7837
Ryota HashimotoDepartment of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan.ORCID https://orcid.org/0000-0002-5941-4238

Funding

Intramural Research Grants for Neurological and Psychiatric Disorders of NCNP 3-1Intramural Research Grants for Neurological and Psychiatric Disorders of NCNP 4-6Japan Agency for Medical Research and Development JP18dm0307002Japan Agency for Medical Research and Development JP19dm0207069Japan Agency for Medical Research and Development JP21dk0307103Japan Agency for Medical Research and Development JP21uk1024002Japan Agency for Medical Research and Development JP21wm0425012Japan Society for the Promotion of Science KAKENHI/JP19H05467Japan Society for the Promotion of Science KAKENHI/JP20H03611Japan Society for the Promotion of Science KAKENHI/JP20K06920Japan Society for the Promotion of Science KAKENHI/JP22H04926
6 · The paper itself

Abstract

Establishing a brain biomarker for schizophrenia is strongly desirable not only to support diagnosis by psychiatrists but also to help track the progressive changes in the brain over the course of the illness. A brain morphological signature of schizophrenia was reported in a recent study and is defined by clusters of brain regions with reduced volume in schizophrenia patients compared to healthy individuals. This signature was proven to be effective at differentiating patients with schizophrenia from healthy individuals, suggesting that it is a good candidate brain biomarker of schizophrenia. However, the longitudinal characteristics of this signature have remained unclear. In this study, we examined whether these changes occurred over time and whether they were associated with clinical outcomes. We found a significant change in the brain morphological signature in schizophrenia patients with more brain volume loss than the natural, age-related reduction in healthy individuals, suggesting that this change can capture a progressive morphological change in the brain. We further found a significant association between changes in the brain morphological signature and changes in the full-scale intelligence quotient (IQ). The patients with IQ improvement showed preserved brain morphological signatures, whereas the patients without IQ improvement showed progressive changes in the brain morphological signature, suggesting a link between potential recovery of intellectual abilities and the speed of brain pathology progression. We conclude that the brain morphological signature is a brain biomarker that can be used to evaluate progressive changes in the brain that are associated with cognitive impairment due to schizophrenia.

Indexed as

SchizophreniaBiomarkersBrainCognitionHumansIntelligenceSchizophrenic PsychologyBiomarkersbiomarkercognitive declinelongitudinal studyschizophreniastructural MRI

Identifiers

PMID38348613
PMCPMC10932790

What OpenQuestion holds

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LicenceCC BY-NC
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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.