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Analysis of institutional authors

Fortea LCorresponding AuthorFortea AAuthorVilajosana EAuthorVerdolini NAuthorFullana MaAuthorVieta EAuthorRadua JCorresponding Author

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Atlas of gray matter volume differences across psychiatric conditions: A systematic review with a novel meta-analysis that considers co-occurring disorders.

Publicated to:Biological Psychiatry. S0006-3223 (24): 01729-3 - 2024-11-02 S0006-3223(24), DOI: 10.1016/j.biopsych.2024.10.020

Authors: Fortea L; Ortuño M; De Prisco M; Oliva V; Albajes-Eizagirre A; Fortea A; Madero S; Solanes A; Vilajosana E; Yao Y; Del Fabro L; Solé E; Verdolini N; Farré-Colomés A; Serra-Blasco M; Picó-Pérez M; Lukito S; Wise T; Carlisi C; Arnone D; Kempton MJ; Hauson AO; Wollman S; Soriano-Mas C; Rubia K; Norman L; Fusar-Poli P; Mataix-Cols D; Valentí M; Via E; Cardoner N; Solmi M; Zhang J; Pan P; Shin JI; Fullana MA; Vieta E; Radua J

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Abstract

Regional gray matter volume (GMV) differences between individuals with mental disorders and comparison subjects may be confounded by co-occurring disorders. To disentangle the disorder-specific GMV correlates, we conducted a large-scale multi-disorder meta-analysis using a novel approach that explicitly models co-occurring disorders. We systematically reviewed voxel-based morphometry studies indexed in PubMed and Scopus up to January 2023 comparing adults with major mental disorders (anorexia nervosa, schizophrenia-spectrum, anxiety, bipolar, major depressive, obsessive-compulsive, and post-traumatic stress disorders, plus attention-deficit/hyperactivity, autism spectrum, and borderline personality disorders) to comparison subjects. Two authors independently extracted data and assessed quality using the Newcastle-Ottawa Scale. We derived GMV correlates for each disorder using: a) a multi-disorder meta-analysis accounting for all co-occurring mental disorders simultaneously; b) separate standard meta-analyses for each disorder ignoring co-occurring disorders. We assessed the alterations' extent, intensity (effect size), and specificity (inter-disorder correlations and transdiagnostic alterations) for both approaches. We included 433 studies (499 datasets) involving 19,718 patients and 16,441 comparison subjects (51% females, aged 20-67 years). We provide GMV correlate maps for each disorder using both approaches. The novel approach, which accounted for co-occurring disorders, produced GMV correlates that were more focal and disorder-specific (less correlated across disorders and fewer transdiagnostic abnormalities). This work offers the most comprehensive atlas of GMV correlates across major mental disorders. Modeling co-occurring disorders yielded more specific correlates, supporting this approach's validity. The atlas NIfTI maps are available online.

Keywords

Anxiety disordersComorbidityGray matter volumeMajor depressive disorderMeta-analysisPsychiatric conditions

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Biological Psychiatry due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2024 there are still no calculated indicators, but in 2023, it was in position 14/310, thus managing to position itself as a Q1 (Primer Cuartil), in the category Neurosciences. Notably, the journal is positioned above the 90th percentile.

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-06-07:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 37.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 34 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 41.9.
  • The number of mentions on the social network Facebook: 1 (Altmetric).
  • The number of mentions on the social network X (formerly Twitter): 77 (Altmetric).

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Canada; China; Germany; Italy; Portugal; Republic of Korea; Sweden; United Kingdom; United States of America.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Fortea González, Lydia) and Last Author (Raduà Castaño, Joaquim).

the authors responsible for correspondence tasks have been Fortea González, Lydia and Raduà Castaño, Joaquim.