Association of Symptom Network Structure With the Course of Depression
Author(s) -
Claudia D. van Borkulo,
Lynn Boschloo,
Denny Borsboom,
Brenda W.J.H. Penninx,
Lourens Waldorp,
Robert A. Schoevers
Publication year - 2015
Publication title -
jama psychiatry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.531
H-Index - 365
eISSN - 2168-6238
pISSN - 2168-622X
DOI - 10.1001/jamapsychiatry.2015.2079
Subject(s) - major depressive disorder , depression (economics) , psychopathology , anxiety , psychiatry , longitudinal study , psychology , association (psychology) , clinical psychology , medicine , mood , psychotherapist , pathology , economics , macroeconomics
Major depressive disorder (MDD) is a heterogeneous condition in terms of symptoms, course, and underlying disease mechanisms. Current classifications do not adequately address this complexity. In novel network approaches to psychopathology, psychiatric disorders are conceptualized as complex dynamic systems of mutually interacting symptoms. This perspective implies that a more densely connected network of symptoms is indicative of a poorer prognosis, but, to date, no previous study has examined whether network structure is indeed associated with the longitudinal course of MDD.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom