Evidence map›Paper›PMID 32304018›Full record

ReviewBrain imaging and behavior2021

Strategies to solve the reverse inference fallacy in future MRI studies of schizophrenia: a review.

Chuanjun Zhuo, Gongying Li, Xiaodong Lin, Deguo Jiang, Yong Xu, Hongjun Tian, Wenqiang Wang, Xueqin Song

Abstract readReview
In one paragraph

Review in Brain imaging and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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.

Chuanjun ZhuoDepartment of Psychiatry, The First Affiliated Hospital of Zhengzhou University, 450000, Zhengzhou, China. chuanjunzhuotjmh@163.com.
Gongying LiDepartment of Psychiatry Pattern Recognition, Department of Genetics Laboratory of Schizophrenia, School of Mental Health, Jining Medical University, 272119, Jining, China.
Xiaodong LinDepartment of Psychiatry, Wenzhou Seventh People's Hospital, 325000, Wenzhou, China.
Deguo JiangDepartment of Psychiatry, Wenzhou Seventh People's Hospital, 325000, Wenzhou, China.
Yong XuDepartment of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.
Hongjun TianDepartment of Psychiatric-Neuroimaging-Genetics and Co-Morbidity Laboratory (PNGC_Lab), Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin Medical University Mental Health Teaching Hospital, 300222, Tianjin, China.
Wenqiang WangBiological Psychiatry of Co-collaboration Laboratory of China and Canada, Xiamen Xianyue Hospital, University of Alberta, Xiamen Xianyue Hospital, 361000, Xiamen, China.
Xueqin SongDepartment of Psychiatry, The First Affiliated Hospital of Zhengzhou University, 450000, Zhengzhou, China.

Funding

Key Projects of the Natural Science Foundation of Tianjin, China 17JCZDJC35700National Natural Science Foundation of China 81871052 to C.Z., 81801679 and 81571319the key project of Wenzhou Science and Technology Bureau ZS2017011the Tianjin Health Bureau Foundation (2014KR02the Zhejiang Public Welfare Fund Project LGF18H090002
6 · The paper itself

Abstract

Few advances in schizophrenia research have been translated into clinical practice, despite 60 years of serum biomarkers studies and 50 years of genetic studies. During the last 30 years, neuroimaging studies on schizophrenia have gradually increased, partly due to the beautiful prospect that the pathophysiology of schizophrenia could be explained entirely by the Human Connectome Project (HCP). However, the fallacy of reverse inference has been a critical problem of the HCP. For this reason, there is a dire need for new strategies or research "bridges" to further schizophrenia at the biological level. To understand the importance of research "bridges," it is vital to examine the strengths and weaknesses of the recent literature. Hence, in this review, our team has summarized the recent literature (1995-2018) about magnetic resonance imaging (MRI) of schizophrenia in terms of regional and global structural and functional alterations. We have also provided a new proposal that may supplement the HCP for studying schizophrenia. As postulated, despite the vast number of MRI studies in schizophrenia, the lack of homogeneity between the studies, along with the relatedness of schizophrenia with other neurological disorders, has hindered the study of schizophrenia. In addition, the reverse inference cannot be used to diagnose schizophrenia, further limiting the clinical impact of findings from medical imaging studies. We believe that multidisciplinary technologies may be used to develop research "bridges" to further investigate schizophrenia at the single neuron or neuron cluster levels. We have postulated about future strategies for overcoming the current limitations and establishing the research "bridges," with an emphasis on multimodality imaging, molecular imaging, neuron cluster signals, single transmitter biomarkers, and nanotechnology. These research "bridges" may help solve the reverse inference fallacy and improve our understanding of schizophrenia for future studies.

Indexed as

ConnectomeSchizophreniaBrainHumansMagnetic Resonance ImagingNeuroimagingBridgesMultidisciplinary technologiesReverse inferenceSchizophrenia

Identifiers

PMID32304018
PMCPMC8032587

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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.