Is resting state frontal alpha connectivity asymmetry a useful index to assess depressive symptoms? A preliminary investigation in a sample of university students.


Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
01 10 2019
Historique:
received: 25 03 2019
revised: 13 06 2019
accepted: 04 07 2019
pubmed: 14 7 2019
medline: 1 7 2020
entrez: 14 7 2019
Statut: ppublish

Résumé

Frontal alpha asymmetry (FAA) has been widely investigated in depressive disorders (DDs) with contradictory and not conclusive results. The main aim of the current study was to explore the association between a new neurophysiological index, the so-called frontal alpha connectivity asymmetry index (FACA-I), and depressive symptoms. One hundred and thirteen participants (45 men and 68 women, mean age: 22.83 ± 2.26 years) were enrolled. Electroencephalographic (EEG) recordings were performed during 5 min of resting state (RS). FACA-I was computed by subtracting connectivity at left frontal regions from right frontal regions and dividing by their sum. RS FAA were also computed and compared to the FACA-I in all analyses. After controlling for the presence of potential confounding variables (i.e., sex, age and anxiety symptoms), only FACA-I scores between medial prefrontal cortex and subgenual anterior cingulate cortex were negatively associated with both somatic and cognitive/affective depressive symptoms and were lower in individuals with significant level of depressive symptoms. We focused on a sample of university students with no formal diagnosis of depression and we did not assess FAA and FACA-I during cognitive and/or emotional tasks, which make our interpretation specific to the RS condition. Taken together our data suggest that alpha connectivity asymmetry between medial prefrontal cortex and subgenual anterior cingulate cortex may be a useful neurophysiological index in the assessment of depressive symptoms.

Sections du résumé

BACKGROUND
Frontal alpha asymmetry (FAA) has been widely investigated in depressive disorders (DDs) with contradictory and not conclusive results. The main aim of the current study was to explore the association between a new neurophysiological index, the so-called frontal alpha connectivity asymmetry index (FACA-I), and depressive symptoms.
METHODS
One hundred and thirteen participants (45 men and 68 women, mean age: 22.83 ± 2.26 years) were enrolled. Electroencephalographic (EEG) recordings were performed during 5 min of resting state (RS). FACA-I was computed by subtracting connectivity at left frontal regions from right frontal regions and dividing by their sum. RS FAA were also computed and compared to the FACA-I in all analyses.
RESULTS
After controlling for the presence of potential confounding variables (i.e., sex, age and anxiety symptoms), only FACA-I scores between medial prefrontal cortex and subgenual anterior cingulate cortex were negatively associated with both somatic and cognitive/affective depressive symptoms and were lower in individuals with significant level of depressive symptoms.
LIMITATIONS
We focused on a sample of university students with no formal diagnosis of depression and we did not assess FAA and FACA-I during cognitive and/or emotional tasks, which make our interpretation specific to the RS condition.
CONCLUSIONS
Taken together our data suggest that alpha connectivity asymmetry between medial prefrontal cortex and subgenual anterior cingulate cortex may be a useful neurophysiological index in the assessment of depressive symptoms.

Identifiants

pubmed: 31301617
pii: S0165-0327(19)30769-4
doi: 10.1016/j.jad.2019.07.034
pii:
doi:

Types de publication

Evaluation Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

152-159

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Claudio Imperatori (C)

Department of Human Sciences, European University of Rome, Via degli Aldobrandeschi 190, 00163 Rome Italy. Electronic address: imperatori.c@libero.it.

Benedetto Farina (B)

Department of Human Sciences, European University of Rome, Via degli Aldobrandeschi 190, 00163 Rome Italy.

Enrico Maria Valenti (EM)

Department of Human Sciences, European University of Rome, Via degli Aldobrandeschi 190, 00163 Rome Italy; Department of Dynamic and Clinical Psychology, Sapienza University of Rome, Rome, Italy.

Alessia Di Poce (A)

Department of Human Sciences, European University of Rome, Via degli Aldobrandeschi 190, 00163 Rome Italy.

Sofia D'Ari (S)

Department of Human Sciences, European University of Rome, Via degli Aldobrandeschi 190, 00163 Rome Italy.

Elena De Rossi (E)

Department of Human Sciences, European University of Rome, Via degli Aldobrandeschi 190, 00163 Rome Italy.

Cristina Murgia (C)

Department of Human Sciences, European University of Rome, Via degli Aldobrandeschi 190, 00163 Rome Italy.

Giuseppe Alessio Carbone (GA)

Department of Human Sciences, European University of Rome, Via degli Aldobrandeschi 190, 00163 Rome Italy.

Chiara Massullo (C)

Department of Human Sciences, European University of Rome, Via degli Aldobrandeschi 190, 00163 Rome Italy.

Giacomo Della Marca (G)

Sleep Disorders Unit, Institute of Neurology, Catholic University, Rome, Italy.

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Classifications MeSH