Predictors of functional outcome in patients with major depression and bipolar disorder: A dynamic network approach to identify distinct patterns of interacting symptoms

The purpose of this study is to use a dynamic network approach as an innovative way to identify distinct patterns of interacting symptoms in patients with Major Depressive Disorder (MDD) and patients with Bipolar Type I Disorder (BD). More precisely, the hypothesis will be testing that the phenotype...

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Veröffentlicht in:	PloS one 2023-02, Vol.18 (2), p.e0276822-e0276822
Hauptverfasser:	Platania, Giuseppe Alessio, Savia Guerrera, Claudia, Sarti, Pierfrancesco, Varrasi, Simone, Pirrone, Concetta, Popovic, Dina, Ventimiglia, Andrea, De Vivo, Simona, Cantarella, Rita Anna, Tascedda, Fabio, Drago, Filippo, Di Nuovo, Santo, Colliva, Chiara, Caraci, Filippo, Castellano, Sabrina, Blom, Johanna M C
Format:	Artikel
Sprache:	eng
Schlagworte:	Age Biology and Life Sciences Bipolar Disorder Care and treatment Clusters Cognition Cognitive ability Cognitive therapy Computer and Information Sciences Covariance matrix Depression Depressive Disorder, Major Diagnosis Domains Drug therapy Executive Function Humans Major depressive disorder Medicine and Health Sciences Memory Mental depression Mental disorders Methods Network analysis Neural networks Nodes Patient outcomes Patients Pharmacology Phenotypes Prospective Studies Psychiatric services Psychotropic drugs Recovery of function Signs and symptoms Social interactions Social Sciences Therapeutic applications
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