Publications

Several procedures have been developed to enhance the rehabilitation of stroke patients. However, most techniques struggle to promote sustained recovery in the months following the treatment. Therefore, it is essential to understand the mechanisms that can be harnessed during treatment to potentiate retention of benefits and sustained recovery. While stroke patients often suffer from thalamocortical dysrhythmia (TCD), a perturbation in alpha (8-13 Hz) rhythms caused by decreased excitation in the cortico-thalamic projections, the functional relevance of TCD in stroke patients is not yet clear. We propose that TCD can be counteracted by combining focal stimulation of the motor cortex with virtual-reality (VR) based rehabilitation, which engages distributed networks associated with goal-oriented behavior. Critically, we investigate whether this can be the key to promoting sustained recovery in stroke patients. We compare thalamocortical rhythms and behavioral recovery in patients receiving Sham and bilateral tDCS stimulation of the motor cortex during therapy with the Rehabilitation Gaming System (RGS). Our results reveal that patients in the tDCS group show a sustained recovery in all clinical scales up to three months post-treatment, as opposed to the Sham group. Furthermore, we demonstrate that the slowing down of alpha rhythms can be counteracted by transcranial direct-current stimulation (tDCS), with a particular role for enhancing the excitability of parietal areas. That said, we found no correlation between changes in alpha rhythms and motor recovery. On one hand, our findings suggest that sustained recovery can be potentiated by tDCS-enhanced VR-based rehabilitation. On the other hand, enhancing the excitability of parietal areas while recruiting brain networks associated with goal-oriented behavior can successfully counteract TCD, even though this is likely not the main driver of sustained motor recovery.

JTD Keywords: Activation, Alpha rhythms, Deep brain-stimulation, Direct-current stimulation, Excitatory-inhibitory balance, Guidelines, Human thalamus, Involvement, Motor recovery, Quality-of-life, Rehabilitation, Sensitivity, Stroke, Transcranial direct-current stimulation

Maintaining a balance between excitatory and inhibitory activity is an essential feature of neural networks of the neocortex. In the face of perturbations in the levels of excitation to cortical neurons, synapses adjust to maintain excitatory-inhibitory (EI) balance. In this review, we summarize research on this EI homeostasis in the neocortex, using stroke as our case study, and in particular the loss of excitation to distant cortical regions after focal lesions. Widespread changes following a localized lesion, a phenomenon known as diaschisis, are not only related to excitability, but also observed with respect to functional connectivity. Here, we highlight the main findings regarding the evolution of excitability and functional cortical networks during the process of post-stroke recovery, and how both are related to functional recovery. We show that cortical reorganization at a global scale can be explained from the perspective of EI homeostasis. Indeed, recovery of functional networks is paralleled by increases in excitability across the cortex. These adaptive changes likely result from plasticity mechanisms such as synaptic scaling and are linked to EI homeostasis, providing a possible target for future therapeutic strategies in the process of rehabilitation. In addition, we address the difficulty of simultaneously studying these multiscale processes by presenting recent advances in large-scale modeling of the human cortex in the contexts of stroke and EI homeostasis, suggesting computational modeling as a powerful tool to tie the meso- and macro-scale processes of recovery in stroke patients. Copyright © 2022 Páscoa dos Santos and Verschure.

JTD Keywords: balanced excitation, canonical microcircuit, cerebral-cortex, cortical excitability, cortical reorganization, diaschisis, excitability, excitatory-inhibitory balance, functional networks, homeostatic plasticity, ischemic-stroke, neuronal avalanches, photothrombotic lesions, state functional connectivity, whole-brain models, Algorithm, Biological marker, Brain, Brain cell, Brain cortex, Brain function, Brain radiography, Cerebrovascular accident, Cortical reorganization, Diaschisis, Down regulation, Excitability, Excitatory-inhibitory balance, Fluorine magnetic resonance imaging, Functional networks, Homeostasis, Homeostatic plasticity, Human, Motor dysfunction, Neuromodulation, Plasticity, Pyramidal nerve cell, Review, Simulation, Stroke, Stroke patient, Theta-burst stimulation, Visual cortex