Evidence map›Paper›PMID 30341038›Full record

ArticleEBioMedicine2018

A Schizophrenia-Related Genetic-Brain-Cognition Pathway Revealed in a Large Chinese Population.

Na Luo, Jing Sui, Jiayu Chen, Fuquan Zhang, Lin Tian, Dongdong Lin, Ming Song, Vince D Calhoun, Yue Cui, Victor M Vergara and 25 more

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

27 citing papers in PubMed, 52 citations in OpenAlex.

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  19. NaJournal of neural transmission (Vienna, Austria : 1996) · 2021
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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

35 authors at 10 institutions in 3 countries.

Na LuoBrainnetome Center and National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Institute of Automation, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Jing SuiBrainnetome Center and National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Institute of Automation, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China; The Mind Research Network & LBERI, Albuquerque, NM 87106, USA; CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Institute of Automation, Beijing 100190, China. Electronic address: jing.sui@nlpr.ia.ac.cn.
Jiayu ChenThe Mind Research Network & LBERI, Albuquerque, NM 87106, USA.
Fuquan ZhangWuxi Mental Health Center, Wuxi 214000, China.
Lin TianWuxi Mental Health Center, Wuxi 214000, China.
Dongdong LinThe Mind Research Network & LBERI, Albuquerque, NM 87106, USA.
Ming SongBrainnetome Center and National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Institute of Automation, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Vince D CalhounThe Mind Research Network & LBERI, Albuquerque, NM 87106, USA; Department of Electrical and Computer Engineer, The University of New, Albuquerque, NM 87131, USA.
Yue CuiBrainnetome Center and National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Institute of Automation, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Victor M VergaraThe Mind Research Network & LBERI, Albuquerque, NM 87106, USA.
Fanfan ZhengBrainnetome Center and National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Institute of Automation, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Jingyu LiuThe Mind Research Network & LBERI, Albuquerque, NM 87106, USA.
Zhenyi YangBrainnetome Center and National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Institute of Automation, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Nianming ZuoBrainnetome Center and National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Institute of Automation, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Lingzhong FanBrainnetome Center and National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Institute of Automation, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Kaibin XuBrainnetome Center and National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Institute of Automation, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Shengfeng LiuBrainnetome Center and National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Institute of Automation, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Jian LiBrainnetome Center and National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Institute of Automation, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Yong XuDepartment of Psychiatry, First Clinical Medical College, First Hospital of Shanxi Medical University, Taiyuan 030000, China.
Sha LiuDepartment of Psychiatry, First Clinical Medical College, First Hospital of Shanxi Medical University, Taiyuan 030000, China.
Luxian LvDepartment of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang 453002, China.
Jun ChenDepartment of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Yunchun ChenDepartment of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an 710032, China.
Hua GuoZhumadian Psychiatric Hospital, Zhumadian 463000, China.
Peng LiInstitute of Mental Health, Peking University Sixth Hospital, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing 100191, China.
Lin LuInstitute of Mental Health, Peking University Sixth Hospital, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing 100191, China.
Ping WanZhumadian Psychiatric Hospital, Zhumadian 463000, China.
Huaning WangDepartment of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an 710032, China.
Huiling WangDepartment of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Hao YanInstitute of Mental Health, Peking University Sixth Hospital, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing 100191, China.
Jun YanInstitute of Mental Health, Peking University Sixth Hospital, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing 100191, China.
Yongfeng YangDepartment of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang 453002, China,; Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
Hongxing ZhangDepartment of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Department of Psychology, Xinxiang Medical University, Xinxiang 453002, China.
Dai ZhangInstitute of Mental Health, Peking University Sixth Hospital, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing 100191, China; Center for Life Sciences, PKU-IDG, McGovern Institute for Brain Research, Peking University, Beijing 100871, China.
Tianzi JiangBrainnetome Center and National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Institute of Automation, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China; Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China; Queensland Brain Institute, University of Queensland, Brisbane, QLD 4072, Australia; CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Institute of Automation, Beijing 100190, China. Electronic address: jiangtz@nlpr.ia.ac.cn.
Chinese Academy of Sciences · CNMind Research Network · USPeking University · CNShanxi Medical University · CNHenan Psychiatric Hospital · CNJiangxi Mental Health Center · CNUniversity of Electronic Science and Technology of China · CNWuhan University · CNZhumadian Central Hospital · CNXijing Hospital · CN

Funding

Data-driven approaches to identify biomarkers from multimodal imaging big dataR56MH117107 · NIMH · THE MIND RESEARCH NETWORK · PI SUI, JING · 2018 to 2018
$453k
NIMH NIH HHS R56 MH117107
6 · The paper itself

Abstract

backgroundIn the past decades, substantial effort has been made to explore the genetic influence on brain structural/functional abnormalities in schizophrenia, as well as cognitive impairments. In this work, we aimed to extend previous studies to explore the internal mediation pathway among genetic factor, brain features and cognitive scores in a large Chinese dataset.

methodsGray matter (GM) volume, fractional amplitude of low-frequency fluctuations (fALFF), and 4522 schizophrenia-susceptible single nucleotide polymorphisms (SNP) from 905 Chinese subjects were jointly analyzed, to investigate the multimodal association. Based on the identified imaging-genetic pattern, correlations with cognition and mediation analysis were then conducted to reveal the potential mediation pathways.

findingsOne linked imaging-genetic pattern was identified to be group discriminative, which was also associated with working memory performance. Particularly, GM reduction in thalamus, putamen and bilateral temporal gyrus in schizophrenia was associated with fALFF decrease in medial prefrontal cortex, both were also associated with genetic factors enriched in neuron development, synapse organization and axon pathways, highlighting genes including CSMD1, CNTNAP2, DCC, GABBR2 etc. This linked pattern was also replicated in an independent cohort (166 subjects), which although showed certain age and clinical differences with the discovery cohort. A further mediation analysis suggested that GM alterations significantly mediated the association from SNP to fALFF, while fALFF mediated the association from SNP and GM to working memory performance.

interpretationThis study has not only verified the impaired imaging-genetic association in schizophrenia, but also initially revealed a potential genetic-brain-cognition mediation pathway, indicating that polygenic risk factors could exert impact on phenotypic measures from brain structure to function, thus could further affect cognition in schizophrenia.

Indexed as

CognitionMemory, Short-TermPolymorphism, Single NucleotideSchizophreniaAdultAsian PeopleBrainChinaHumansMaleMiddle AgedGenetic-brain-cognition pathwayMediation analysisMultimodal fusionSchizophreniaWorking memory

Identifiers

PMID30341038
PMCPMC6284414
OpenAlexW2896018094

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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.