<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>centrality on Wonderland of Deisy Gysi</title><link>https://deisygysi.github.io/categories/centrality/</link><description>Recent content in centrality on Wonderland of Deisy Gysi</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Thu, 29 Feb 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://deisygysi.github.io/categories/centrality/index.xml" rel="self" type="application/rss+xml"/><item><title>Centrality Measures in Psychological Networks: A Simulation Study on Identifying Effective Treatment Targets</title><link>https://deisygysi.github.io/publications/psychnetworkscentrality/</link><pubDate>Thu, 29 Feb 2024 00:00:00 +0000</pubDate><guid>https://deisygysi.github.io/publications/psychnetworkscentrality/</guid><description>Abstract The network theory of psychopathology suggests that symptoms in a disorder form a network and that identifying central symptoms within this network might be important for an effective and personalized treatment. However, recent evidence has been inconclusive. We analyzed contemporaneous idiographic networks of depression and anxiety symptoms. Two approaches were compared: a cascade-based attack where symptoms were deactivated in decreasing centrality order, and a normal attack where symptoms were deactivated based on original centrality estimates.</description></item></channel></rss>