The recovery of motor functions after stroke is fostered by the functional integration of large-scale brain networks, including the motor network (MN) and high-order cognitive controls networks, such as the default mode (DMN) and executive control (ECN) networks. In this paper, electroencephalography signals are used to investigate interactions among these three resting state networks (RSNs) in subacute stroke patients after motor rehabilitation. A novel metric, the O-information rate (OIR), is used to quantify the balance between redundancy and synergy in the complex high-order interactions among RSNs, as well as its causal decomposition to identify the direction of information flow. The paper also employs conditional spectral Granger causality to assess pairwise directed functional connectivity between RSNs. After rehabilitation, a synergy increase among these RSNs is found, especially driven by MN. From the pairwise description, a reduced directed functional connectivity towards MN is enhanced after treatment. Besides, inter-network connectivity changes are associated with motor recovery, for which the mediation role of ECN seems to play a relevant role, both from pairwise and high-order interactions perspective.

Pirovano, I., Antonacci, Y., Mastropietro, A., Barà, C., Sparacino, L., Guanziroli, E., et al. (2023). Rehabilitation Modulates High-Order Interactions Among Large-Scale Brain Networks in Subacute Stroke. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 31, 4549-4560 [10.1109/TNSRE.2023.3332114].

Rehabilitation Modulates High-Order Interactions Among Large-Scale Brain Networks in Subacute Stroke

Antonacci, Yuri;Sparacino, Laura;Faes, Luca;
2023-11-13

Abstract

The recovery of motor functions after stroke is fostered by the functional integration of large-scale brain networks, including the motor network (MN) and high-order cognitive controls networks, such as the default mode (DMN) and executive control (ECN) networks. In this paper, electroencephalography signals are used to investigate interactions among these three resting state networks (RSNs) in subacute stroke patients after motor rehabilitation. A novel metric, the O-information rate (OIR), is used to quantify the balance between redundancy and synergy in the complex high-order interactions among RSNs, as well as its causal decomposition to identify the direction of information flow. The paper also employs conditional spectral Granger causality to assess pairwise directed functional connectivity between RSNs. After rehabilitation, a synergy increase among these RSNs is found, especially driven by MN. From the pairwise description, a reduced directed functional connectivity towards MN is enhanced after treatment. Besides, inter-network connectivity changes are associated with motor recovery, for which the mediation role of ECN seems to play a relevant role, both from pairwise and high-order interactions perspective.
13-nov-2023
Settore ING-INF/06 - Bioingegneria Elettronica E Informatica
Pirovano, I., Antonacci, Y., Mastropietro, A., Barà, C., Sparacino, L., Guanziroli, E., et al. (2023). Rehabilitation Modulates High-Order Interactions Among Large-Scale Brain Networks in Subacute Stroke. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 31, 4549-4560 [10.1109/TNSRE.2023.3332114].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/618373
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