Literature DB >> 32171465

Causes and Consequences of Diagnostic Heterogeneity in Depression: Paths to Discovering Novel Biological Depression Subtypes.

Charles J Lynch1, Faith M Gunning1, Conor Liston2.   

Abstract

Depression is a highly heterogeneous syndrome that bears only modest correlations with its biological substrates, motivating a renewed interest in rethinking our approach to diagnosing depression for research purposes and new efforts to discover subtypes of depression anchored in biology. Here, we review the major causes of diagnostic heterogeneity in depression, with consideration of both clinical symptoms and behaviors (symptomatology and trajectory of depressive episodes) and biology (genetics and sexually dimorphic factors). Next, we discuss the promise of using data-driven strategies to discover novel subtypes of depression based on functional neuroimaging measures, including dimensional, categorical, and hybrid approaches to parsing diagnostic heterogeneity and understanding its biological basis. The merits of using resting-state functional magnetic resonance imaging functional connectivity techniques for subtyping are considered along with a set of technical challenges and potential solutions. We conclude by identifying promising future directions for defining neurobiologically informed depression subtypes and leveraging them in the future for predicting treatment outcomes and informing clinical decision making.
Copyright © 2020. Published by Elsevier Inc.

Entities:  

Keywords:  Depression; Heterogeneity; Neuroimaging; Resting state fMRI; Subtyping; Treatment prediction

Year:  2020        PMID: 32171465     DOI: 10.1016/j.biopsych.2020.01.012

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  17 in total

1.  Parsing Psychiatric Heterogeneity Through Common and Unique Circuit-Level Deficits.

Authors:  Theodore D Satterthwaite; Eric Feczko; Antonia N Kaczkurkin; Damien A Fair
Journal:  Biol Psychiatry       Date:  2020-07-01       Impact factor: 13.382

Review 2.  Toward Circuit Mechanisms of Pathophysiology in Depression.

Authors:  Timothy Spellman; Conor Liston
Journal:  Am J Psychiatry       Date:  2020-05-01       Impact factor: 18.112

3.  Resting state functional connectivity subtypes predict discrete patterns of cognitive-affective functioning across levels of analysis among patients with treatment-resistant depression.

Authors:  Mary L Woody; Benjamin Panny; Michelle Degutis; Angela Griffo; Rebecca B Price
Journal:  Behav Res Ther       Date:  2021-09-02

Review 4.  Predicting the future of neuroimaging predictive models in mental health.

Authors:  Link Tejavibulya; Max Rolison; Siyuan Gao; Qinghao Liang; Hannah Peterson; Javid Dadashkarimi; Michael C Farruggia; C Alice Hahn; Stephanie Noble; Sarah D Lichenstein; Angeliki Pollatou; Alexander J Dufford; Dustin Scheinost
Journal:  Mol Psychiatry       Date:  2022-06-13       Impact factor: 13.437

5.  Resting-state brain metabolic fingerprinting clusters (biomarkers) and predictive models for major depression in multiple myeloma patients.

Authors:  Xiaofei Wang; Joshua Eichhorn; Iqbal Haq; Ahmad Baghal
Journal:  PLoS One       Date:  2021-05-06       Impact factor: 3.240

6.  Linking childhood trauma and cytokine levels in depressed adolescents.

Authors:  Manivel Rengasamy; Anna Marsland; Lora McClain; Tessa Kovats; Thomas Walko; Lisa Pan; Rebecca B Price
Journal:  Psychoneuroendocrinology       Date:  2021-08-27       Impact factor: 4.905

7.  Learned Immobility Produces Enduring Impairment of the HPA Axis Reactivity in Mice without Replicating the Broad Spectrum of Depressive-Like Phenotype.

Authors:  Sébastien Bullich; Sarah Delcourte; Nasser Haddjeri; Bruno P Guiard
Journal:  Int J Mol Sci       Date:  2021-01-19       Impact factor: 5.923

Review 8.  Crosstalk between Depression and Dementia with Resting-State fMRI Studies and Its Relationship with Cognitive Functioning.

Authors:  Junhyung Kim; Yong-Ku Kim
Journal:  Biomedicines       Date:  2021-01-16

9.  Depression and Exercise in Older Adults: Exercise Looks after You Program, User Profile.

Authors:  Carmen Galán-Arroyo; Damián Pereira-Payo; Miguel Ángel Hernández-Mocholí; Eugenio Merellano-Navarro; Jorge Pérez-Gómez; Jorge Rojo-Ramos; Jose Carmelo Adsuar
Journal:  Healthcare (Basel)       Date:  2022-01-18

Review 10.  Dissecting diagnostic heterogeneity in depression by integrating neuroimaging and genetics.

Authors:  Amanda M Buch; Conor Liston
Journal:  Neuropsychopharmacology       Date:  2020-08-11       Impact factor: 8.294

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