Evidence map›Paper›PMID 27445261›Full record

SynthesisSchizophrenia bulletin2017

Brain-Wide Analysis of Functional Connectivity in First-Episode and Chronic Stages of Schizophrenia.

Tao Li, Qiang Wang, Jie Zhang, Edmund T Rolls, Wei Yang, Lena Palaniyappan, Lu Zhang, Wei Cheng, Ye Yao, Zhaowen Liu and 12 more

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Schizophrenia bulletin, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
124citing papers in PubMed, 8 pooled it
–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

124 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  18. GABAMolecular psychiatry · 2026
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64 more citing papers are in PubMed but not listed here.

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

22 authors.

Tao LiThe Mental Health Center and the Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, PR China.
Qiang WangThe Mental Health Center and the Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, PR China.
Jie ZhangInstitute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, PR China.
Edmund T RollsOxford Centre for Computational Neuroscience, Oxford, UK.
Wei YangShanghai Center for Mathematical Sciences, Shanghai, PR China.
Lena PalaniyappanDivision of Psychiatry and Applied Psychology, University of Nottingham, Centre for Translational Neuroimaging, Institute of Mental Health, Nottingham, UK.
Lu ZhangShanghai Center for Mathematical Sciences, Shanghai, PR China.
Wei ChengInstitute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, PR China.
Ye YaoInstitute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, PR China.
Zhaowen LiuInstitute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, PR China.
Xiaohong GongSchool of life science department, Fudan University, Shanghai, PR China.
Qiang LuoInstitute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, PR China.
Yanqing TangPsychiatry department, The First Affiliated Hospital, China Medical University, Shenyang, Liaoning, PR China.
Timothy J CrowSANE POWIC, University Department of Psychiatry, Warneford Hospital, Oxford, UK.
Matthew R BroomeDepartment of Psychiatry, Medical Science Division, University of Oxford, Oxford, UK.
Ke XuPsychiatry department, The First Affiliated Hospital, China Medical University, Shenyang, Liaoning, PR China.
Chunbo LiShanghai Key Laboratory of Psychotic Disorders (No. 13dz2260500), Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China.
Jijun WangShanghai Key Laboratory of Psychotic Disorders (No. 13dz2260500), Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China.
Zhening LiuMental Health Center, Xiangya Hospital, Central South University, Changsha, PR China.
Guangming LuDepartment of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, PR China.
Fei WangPsychiatry department, The First Affiliated Hospital, China Medical University, Shenyang, Liaoning, PR China.
Jianfeng FengInstitute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, PR China.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Published reports of functional abnormalities in schizophrenia remain divergent due to lack of staging point-of-view and whole-brain analysis. To identify key functional-connectivity differences of first-episode (FE) and chronic patients from controls using resting-state functional MRI, and determine changes that are specifically associated with disease onset, a clinical staging model is adopted. We analyze functional-connectivity differences in prodromal, FE (mostly drug naïve), and chronic patients from their matched controls from 6 independent datasets involving a total of 789 participants (343 patients). Brain-wide functional-connectivity analysis was performed in different datasets and the results from the datasets of the same stage were then integrated by meta-analysis, with Bonferroni correction for multiple comparisons. Prodromal patients differed from controls in their pattern of functional-connectivity involving the inferior frontal gyri (Broca's area). In FE patients, 90% of the functional-connectivity changes involved the frontal lobes, mostly the inferior frontal gyrus including Broca's area, and these changes were correlated with delusions/blunted affect. For chronic patients, functional-connectivity differences extended to wider areas of the brain, including reduced thalamo-frontal connectivity, and increased thalamo-temporal and thalamo-sensorimoter connectivity that were correlated with the positive, negative, and general symptoms, respectively. Thalamic changes became prominent at the chronic stage. These results provide evidence for distinct patterns of functional-dysconnectivity across FE and chronic stages of schizophrenia. Importantly, abnormalities in the frontal language networks appear early, at the time of disease onset. The identification of stage-specific pathological processes may help to understand the disease course of schizophrenia and identify neurobiological markers crucial for early diagnosis.

Indexed as

Prodromal SymptomsAdultCerebral CortexChronic DiseaseConnectomeDisease ProgressionFemaleHumansMaleNeural PathwaysPrefrontal CortexRiskSchizophreniaThalamusYoung AdultBroca’s areaclinical staging modelresting-state fMRIthalamuswhole brain functional-connectivity analysis

Identifiers

PMID27445261
PMCPMC5605268

What OpenQuestion holds

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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.