Isolated effective coherence (iCoh) is a measure of neural causal functional connectivity from EEG signals that was proven to overperform the Generalized Partial Directed Coherence (gPDC). However, iCoh sensitivity in the identification of reliable functional neural connections with respect to random links was not investigated. This study aims to compare the sensitivity of iCoh and gPDC with a statistical surrogates' approach. The cerebral motor network topology of a cohort of subjects in sub-acute stage after stroke was investigated. iCoh showed enhanced statistical discriminative power of the relevant connections within the motor network with respect to gPDC. This property influenced the assessment of ipsilesional intra-hemispheric topographic variations occurring in the population after a physical rehabilitation program.

Pirovano I., Mastropietro A., Guanziroli E., Molteni F., Faes L., Rizzo G. (2022). Comparison between directed causal flow metrics for the assessment of resting-state EEG motor network connectivity in subacute stroke patients. In ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (pp. 44-47) [10.1109/EMBC48229.2022.9870885].

Comparison between directed causal flow metrics for the assessment of resting-state EEG motor network connectivity in subacute stroke patients

Faes L.;
2022-01-01

Abstract

Isolated effective coherence (iCoh) is a measure of neural causal functional connectivity from EEG signals that was proven to overperform the Generalized Partial Directed Coherence (gPDC). However, iCoh sensitivity in the identification of reliable functional neural connections with respect to random links was not investigated. This study aims to compare the sensitivity of iCoh and gPDC with a statistical surrogates' approach. The cerebral motor network topology of a cohort of subjects in sub-acute stage after stroke was investigated. iCoh showed enhanced statistical discriminative power of the relevant connections within the motor network with respect to gPDC. This property influenced the assessment of ipsilesional intra-hemispheric topographic variations occurring in the population after a physical rehabilitation program.
2022
978-1-7281-2782-8
Pirovano I., Mastropietro A., Guanziroli E., Molteni F., Faes L., Rizzo G. (2022). Comparison between directed causal flow metrics for the assessment of resting-state EEG motor network connectivity in subacute stroke patients. In ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (pp. 44-47) [10.1109/EMBC48229.2022.9870885].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/605913
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