Symptom network analysis of anxiety and depression in epilepsy
Seizure. 2021-11-01; 92: 211-215
DOI: 10.1016/J.SEIZURE.2021.09.013
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1. Seizure. 2021 Nov;92:211-215. doi: 10.1016/j.seizure.2021.09.013. Epub 2021
Sep 25.
Symptom network analysis of anxiety and depression in epilepsy.
Gauld C(1), Bartolomei F(2), Micoulaud-Franchi JA(3), McGonigal A(4).
Author information:
(1)Department of Psychiatry, University of Grenoble, Avenue du Maquis du
Grésivaudan, 38 000 Grenoble, France; UMR CNRS 8590 IHPST, Sorbonne University,
Paris 1, France. Electronic address: .
(2)Aix Marseille Univ, Inserm, INS, Institut de Neurosciences des Systèmes,
Marseille, France; APHM, Timone Hospital, Clinical Neurophysiology, Marseille,
France.
(3)University Sleep Clinic, Services of functional exploration of the nervous
system, University Hospital of Bordeaux, Place Amélie Raba-Leon, 33 076
Bordeaux, France; USR CNRS 3413 SANPSY, University Hospital Pellegrin,
University of Bordeaux, Bordeaux, France.
(4)Aix Marseille Univ, Inserm, INS, Institut de Neurosciences des Systèmes,
Marseille, France; APHM, Timone Hospital, Clinical Neurophysiology, Marseille,
France. Electronic address: .
PURPOSE: Anxiety symptoms and depressive symptoms are frequent in PWE and
associated with poorer outcomes. Investigation of specific characteristics of
anxiety and depressive symptoms in PWE is of interest.
METHODS: We used psychometric analyses in symptom networks using screening tools
validated in PWE: Generalized Anxiety Disorder 7 (GAD-7) and Neurological
Disorders Depression Inventory for Epilepsy (NDDI-E). We conducted an estimation
to build the NDDIE and GAD-7 network, analyzed network inferences (especially
centrality measures) and performed network robustness analyses as well as
modularity-based community detection.
RESULTS: 145 PWE were included. The criteria with highest centrality was
« Trouble relaxing » (G4) from the GAD-7, which represents a possible substantial
symptom at the interface of anxiety and depressive comorbidities in epilepsy.
Robustness was very moderate, despite results consistent with the literature.
The two communities of nodes corresponded to criteria of the two scales.
CONCLUSION: Epilepsy is a unique model for studying psychiatric symptoms since
correlation with cerebral mechanisms can be assessed. « Trouble relaxing » as a
key symptom is of interest, since this relates to the « Arousal » construct of the
RDoC. Limitations of this study are the number of patients, single population,
limits of psychometric analysis and network analysis, and a moderate robustness.
Nevertheless, arousal is linked to seizure control, and thus these observations
are of relevance to future investigation of pathophysiological mechanisms of
psychopathology in epilepsy.
Copyright © 2021 British Epilepsy Association. Published by Elsevier Ltd. All
rights reserved.
DOI: 10.1016/j.seizure.2021.09.013
PMID: 34600300 [Indexed for MEDLINE]