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Neuroimaging in Psychiatric Disorders: A Bibliometric Analysis of the 100 Most Highly Cited Articles
Author(s) -
Gong Bo,
Naveed Sadiq,
Hafeez Dawood M.,
Afzal Khalid I.,
Majeed Salman,
Abele Jonathan,
Nicolaou Savvas,
Khosa Faisal
Publication year - 2018
Publication title -
journal of neuroimaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.822
H-Index - 64
eISSN - 1552-6569
pISSN - 1051-2284
DOI - 10.1111/jon.12570
Subject(s) - neuroimaging , medicine , psychiatry , major depressive disorder , medline , schizophrenia (object oriented programming) , mood , political science , law
BACKGROUND AND PURPOSE Extensive research has been conducted to find neuroimaging biomarkers for psychiatric disorders. This study aimed at identifying trends of the 100 most highly cited articles on neuroimaging in primary psychiatric disorders. METHODS The most highly cited original research articles were identified and analyzed, following searches of MEDLINE and Web of Science All Databases. RESULTS The top 100 articles ranked by yearly citation (from 137.5 to 31.1) were published between 1989 and 2017. Depressive disorders (30 articles), schizophrenia spectrum and other psychotic disorders (27), autism spectrum disorder (17), substance‐related and addictive disorders (7), and post‐traumatic stress disorder (7) were among the most studied conditions. Functional magnetic resonance imaging (42), structural magnetic resonance imaging (30), and positron emission tomography (22) were the most utilized neuroimaging modalities. While 85 articles investigated the pathophysiology of psychiatric disorders (including 7 focusing on developmental changes and 1 on genetic susceptibility), 15 articles studied the impact of treatment, including antidepressants (6), deep brain stimulation (4), antipsychotics (3), behavior therapy (3), and exercise (1). The analysis also identified the most contributing authors, countries (the United States: 71 articles, the United Kingdom: 8, Canada: 5, and China: 5), and journals ( JAMA Psychiatry : 20 articles and Biological Psychiatry : 17). Ninety‐eight studies were prospective, and two were retrospective. The sample size ranged from 3 to 1,188 (median: 21). CONCLUSIONS Our study identified intellectual milestones in the utility of neuroimaging in investigating primary psychiatric disorders. The historic trends could help guide future research in this field.