Meeting Banner
Abstract #3386

Evaluation of ECG-derived respiration signals in simultaneous EEG-fMRI acquisitions

Inês Esteves1, Ana R. Fouto1, Amparo Ruiz-Tagle1, Athanasios Vourvopoulos1, Marta Xavier1, Nuno A. Silva2, Raquel Gil-Gouveia3, Agostinho Rosa1, and Patrícia Figueiredo1
1ISR-Lisboa and Department of Bioengineering, Instituto Superior Técnico – Universidade de Lisboa, Lisbon, Portugal, 2Learning Health, Hospital da Luz, Lisbon, Portugal, 3Neurology Department, Hospital da Luz, Lisbon, Portugal

Physiological noise correction of the BOLD signal requires information concerning the cardiac and respiratory activity. For EEG-fMRI, the burden of performing extra recordings may be alleviated by retrieving an ECG-derived respiratory signal (EDR). This work aimed to evaluate different methods for EDR estimation and subsequent derivation of fMRI respiratory regressors, by comparison with the measured respiratory signal, for EEG-fMRI. The feasibility of EDR estimation was demonstrated, with KPCA and PCA methods achieving the best performance. Nevertheless, similarities between EDRs and respiration were not directly reflected by the regressors, and the impact of using EDR-based respiratory regressors should be further examined.

This abstract and the presentation materials are available to members only; a login is required.

Join Here