Salience and default networks predict borderline personality traits and affective symptoms: a dynamic functional connectivity analysis

Salience and default networks predict borderline personality traits and affective symptoms: a dynamic functional connectivity analysis

IntroductionBorderline personality disorder (BPD) is one of the most frequently diagnosed disorders in psychiatric settings. Beyond the categorical diagnosis, borderline personality traits (BPT) are common in the general population and vary along a continuum from mild to severe. While prior research...

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Bibliographic Details
Main Authors: Alessandro Grecucci, Miriam Langerbeck, Richard Bakiaj, Parisa Ahmadi Ghomroudi, Davide Rivolta, Xiaoping Yi, Irene Messina
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Human Neuroscience
Subjects:
borderline personality disorder
personality traits
unsupervised machine learning
default mode network
salience network
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2025.1589440/full
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