Objective biomarkers of depression: A study of Granger causality and wavelet coherence in resting-state fMRI

Vertaalde titel van de bijdrage: Objectieve biomarkers van depressie: Een studie over Granger causaliteit en wavelet coherence in resting-state fMRI

Ramona Cîrstian, Jesper Pilmeyer (Corresponding author), Antoine Bernas (Corresponding author), Jaap F.A. Jansen, Marcel Breeuwer, Bert Aldenkamp, Sveta Zinger

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

2 Citaten (Scopus)
52 Downloads (Pure)

Samenvatting

Background and Purpose

The lack of a robust diagnostic biomarker makes understanding depression from a neurobiological standpoint an important goal, especially in the context of brain imaging.

Methods

In this study, we aim to create novel image-based features for objective diagnosis of depression. Resting-state network time series are used to investigate neurodynamics with the help of wavelet coherence and Granger causality (G-causality). Three new features are introduced: total wavelet coherence, wavelet lead coherence, and wavelet coherence blob analysis. The fourth feature, pair-wise conditional G-causality, is used to establish the causality between resting-state networks. We use the proposed features to classify depression in adult subjects.

Results

We obtained an accuracy of 86% in the wavelet lead coherence, 80% in Granger causality, and 86% in wavelet coherence blob analysis. Subjects with depression showed hyperconnectivity between the dorsal attention network and the auditory network as well as between the posterior default mode network and the dorsal attention network. Hypoconnectivity was found between the anterior default mode network and the auditory network as well as the right frontoparietal network and the lateral visual network. An abnormal co-activation pattern was found between cerebellum and the lateral motor network according to the wavelet coherence blob analysis.

Conclusion

Based on abnormal functional dynamics between brain networks, we were able to identify subjects with depression with high accuracy. The findings of this study contribute to the understanding of the impaired emotional and attention processing associated with depression, as well as decreased motor activity.
Vertaalde titel van de bijdrageObjectieve biomarkers van depressie: Een studie over Granger causaliteit en wavelet coherence in resting-state fMRI
Originele taal-2Engels
Pagina's (van-tot)404-414
Aantal pagina's11
TijdschriftJournal of Neuroimaging
Volume33
Nummer van het tijdschrift3
Vroegere onlinedatum29 jan. 2023
DOI's
StatusGepubliceerd - 1 mei 2023

Vingerafdruk

Duik in de onderzoeksthema's van 'Objectieve biomarkers van depressie: Een studie over Granger causaliteit en wavelet coherence in resting-state fMRI: A study of Granger causality and wavelet coherence in resting-state fMRI'. Samen vormen ze een unieke vingerafdruk.

Citeer dit