Literature DB >> 33675742

Common and different gray and white matter alterations in bipolar and borderline personality disorder: A source-based morphometry study.

Gaia Lapomarda1, Alessandro Grecucci2, Irene Messina3, Edoardo Pappaianni4, Harold Dadomo5.   

Abstract

According to the nosological classification, Bipolar Disorder (BD) and Borderline Personality Disorder (BPD) are different syndromes. However, these pathological conditions share a number of affective symptoms that make the diagnosis difficult. Affective symptoms range from abnormal mood swings, characterizing both BD and BPD, to regulation dysfunctions, more specific to BPD. To shed light on the neural bases of these aspects, and to better understand differences and similarities between the two disorders, we analysed for the first time gray and white matter features of both BD and BPD. Structural T1 images from 30 patients with BD, 20 with BPD, and 45 controls were analysed by capitalizing on an innovative whole-brain multivariate method known as Source-based Morphometry. Compared to controls, BD patients showed increased gray matter concentration (p = .003) in a network involving mostly subcortical structures and cerebellar areas, possibly related to abnormal mood experiences. Notably, BPD patients showed milder alterations in the same circuit, standing in the middle of a continuum between BD and controls. In addition to this, we found an altered white matter network specific to BPD (p = .018), including frontal-parietal and temporal regions possibly associated with dysfunctional top-down emotion regulation. These findings may shed light on a better understanding of affective disturbances behind the two disorders, with BD patients more characterized by abnormalities in neural structures involved in mood oscillations, and BPD by deficits in the cognitive regulation of emotions. These results may help developing better treatments tailored to the specific affective disturbances displayed by these patients.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarkers; Bipolar Disorder; Borderline Personality Disorder; Emotion regulation; Source-based morphometry

Mesh:

Year:  2021        PMID: 33675742     DOI: 10.1016/j.brainres.2021.147401

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  3 in total

1.  Structural Features Predict Sexual Trauma and Interpersonal Problems in Borderline Personality Disorder but Not in Controls: A Multi-Voxel Pattern Analysis.

Authors:  Harold Dadomo; Gerardo Salvato; Gaia Lapomarda; Zafer Ciftci; Irene Messina; Alessandro Grecucci
Journal:  Front Hum Neurosci       Date:  2022-02-23       Impact factor: 3.169

2.  Structural Features Related to Affective Instability Correctly Classify Patients With Borderline Personality Disorder. A Supervised Machine Learning Approach.

Authors:  Alessandro Grecucci; Gaia Lapomarda; Irene Messina; Bianca Monachesi; Sara Sorella; Roma Siugzdaite
Journal:  Front Psychiatry       Date:  2022-02-28       Impact factor: 4.157

3.  Structural and functional brain networks of individual differences in trait anger and anger control: An unsupervised machine learning study.

Authors:  Sara Sorella; Valentina Vellani; Roma Siugzdaite; Paola Feraco; Alessandro Grecucci
Journal:  Eur J Neurosci       Date:  2021-12-27       Impact factor: 3.698

  3 in total

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