Evidence map›Paper›PMID 35853913›Full record

ArticleSchizophrenia (Heidelberg, Germany)2022

Convergent and divergent gray matter volume abnormalities in unaffected first-degree relatives and ultra-high risk individuals of schizophrenia.

Bei Lin, Xian-Bin Li, Sen Ruan, Yu-Xin Wu, Chao-Yue Zhang, Chuan-Yue Wang, Lu-Bin Wang

Open access · diamondAbstract read
In one paragraph

Article in Schizophrenia (Heidelberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 25% 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, 7 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

7 authors at 4 institutions in 1 country.

Bei Lin *The Brain Science Center, Beijing Institute of Basic Medical Sciences, Beijing, 100850, China.
Xian-Bin Li *The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China.
Sen RuanThe Brain Science Center, Beijing Institute of Basic Medical Sciences, Beijing, 100850, China.
Yu-Xin WuThe Brain Science Center, Beijing Institute of Basic Medical Sciences, Beijing, 100850, China.
Chao-Yue ZhangThe Brain Science Center, Beijing Institute of Basic Medical Sciences, Beijing, 100850, China.
Chuan-Yue WangThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China. wcymanu@163.com.
Lu-Bin WangThe Brain Science Center, Beijing Institute of Basic Medical Sciences, Beijing, 100850, China. wanglb@bmi.ac.cn.
Institute of Basic Medical Sciences of the Chinese Academy of Medical SciencesChinese Institute for Brain Research · CNBeijing Anding Hospital · CNCapital Medical University · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81971287
6 · The paper itself

Abstract

High-risk populations of schizophrenia can be mainly identified as genetic high-risk based on putative endophenotypes or ultra-high-risk (UHR) based on clinically manifested symptoms. Previous studies have consistently shown brain structural abnormalities in both genetic high-risk and UHR individuals. In this study, we aimed to disentangle the convergent and divergent pattern of gray matter alterations between UHR and unaffected first-degree relatives from genetic high-risk individuals. We used structural MRI scans and voxel-based morphometry method to examine gray matter volume (GMV) differences among 23 UHR subjects meeting the Structured Interview for Prodromal Syndromes (SIPS) criteria, 18 unaffected first-degree relatives (UFDR), 26 first-episode schizophrenia patients (FES) and 54 healthy controls (CN). We found that a number of brain regions exhibited a monotonically decreasing trend of GMV from CN to UFDR to UHR to FES. Compared with CN, the UHR subjects showed significant decreases of GMV similar to the patients in the inferior temporal gyrus, fusiform gyrus, middle occipital gyrus, insula, and limbic regions. Moreover, the UHR transformed subgroup had significantly lower GMV than UHR non-transformed subgroup in the right inferior temporal/fusiform gyrus. On the other hand, the UFDR subjects only showed significant GMV decreases in the inferior temporal gyrus and fusiform. Moreover, we found GMV in the occipital lobe was negatively correlated with the UHR subjects' composite positive symptom of SIPS, and GMV in the cerebellum was positively correlated with FES subjects' symptom severity. Our results suggest that GMV deficits and regional dysfunction are evident prior to the onset of psychosis and are more prominent in the UHR than the UFDR individuals.

Identifiers

PMID35853913
PMCPMC9261104
OpenAlexW4281636968

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LicenceCC BY
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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.