Modulating functional connectivity after stroke with neurofeedback: Effect on motor deficits in a controlled cross-over study

Mottaz, Anaïs; Corbet, Tiffany; Doganci, Naz; Magnin, Cécile; Nicolo, Pierre; Schnider, Armin; Guggisberg, Adrian G.

doi:10.1016/j.nicl.2018.07.029

Cited by 57 publications

(57 citation statements)

References 105 publications

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“…An enhancement of the FC (node degree) of preserved ipsilesional motor areas with neurofeedback led to a significant increase in motor function. This was not the case in a control condition where patients enhanced FC of a brain area not directly implicated in motor function with neurofeedback (Mottaz et al, 2018). Hence an enhancement of network interactions of specific brain nodes seems to be causally related to reduced motor impairment.…”

Section: Network Plasticity-mentioning

confidence: 77%

“…More recently, it has been shown that healthy subjects and stroke patients can learn to voluntarily modulate specific patterns of FC (Sacchet et al, 2012, Koush et al, 2013, Liew et al, 2016. In particular, neurofeedback training of the node degree at the ipsilesional primary motor cortex was associated with improved motor performance of stroke patients (Mottaz et al, 2015(Mottaz et al, , 2018.…”

Section: Modulation Of Ipsilesional Network Interactionsmentioning

confidence: 99%

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Brain networks and their relevance for stroke rehabilitation

Guggisberg

Koch

Hummel

et al. 2019

Clinical Neurophysiology

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162

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Stroke has long been regarded as focal disease with circumscribed damage leading to neurological deficits. However, advances in methods for assessing the human brain and in statistics have enabled new tools for the examination of the consequences of stroke on brain structure and function. Thereby, it has become clear that stroke has impact on the entire brain and its network properties and can therefore be considered as a network disease. The present review first gives an overview of current methodological opportunities and pitfalls for assessing stroke-induced changes and reorganization in the human brain. We then summarize principles of plasticity after stroke that have emerged from the assessment of networks. Thereby, it is shown that neurological deficits do not only arise from focal tissue damage but also from local and remote changes in white-matter tracts and in neural interactions among widespread networks. Similarly, plasticity and clinical improvements are associated with specific compensatory structural and functional patterns of neural network interactions. Innovative treatment approaches have started to target such network patterns to enhance recovery. Network assessments to predict treatment response and to individualize rehabilitation is a promising way to enhance specific treatment effects and overall outcome after stroke.

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Section: Network Plasticity-mentioning

confidence: 77%

Section: Modulation Of Ipsilesional Network Interactionsmentioning

confidence: 99%

Brain networks and their relevance for stroke rehabilitation

Guggisberg

Koch

Hummel

et al. 2019

Clinical Neurophysiology

Self Cite

162

130

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“…Therefore, such neuromuscular modulation or neural plasticity induced by training may, at least partially, explain the gait improvement. A previous study suggested that individuals with chronic stroke preserve the capacity to increase synchronization of neural activity between different brain regions as measured by EEG connectivity through neurofeedback training [1]. It has been noted that a challenging, unfamiliar and more difficult task for stroke patients may increase the possibilities for brain activation to stimulate behavioral recovery [3].…”

Section: Discussionmentioning

confidence: 99%

“…A recent study suggested that chronic stroke patients maintain the capacity to increase synchronization of neural activity between different brain regions as measured by EEG connectivity. These changes of functional connectivity in the motor cortex through neurofeedback correlate with improvements in motor performance [1]. Previously, we demonstrated that a novel specific training, the turning-based treadmill program, yielded greater improvements in gait speed and temporal symmetry than regular treadmill training for people with chronic stroke [2].…”

Section: Introductionmentioning

confidence: 99%

Novel gait training alters functional brain connectivity during walking in chronic stroke patients: a randomized controlled pilot trial

Chen

Yang²,

et al. 2019

J NeuroEngineering Rehabil

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Background A recent study has demonstrated that a turning-based treadmill program yields greater improvements in gait speed and temporal symmetry than regular treadmill training in chronic stroke patients. However, it remains unknown how this novel and challenging gait training shapes the cortico-cortical network and cortico-spinal network during walking in chronic stroke patients. The purpose of this study was to examine how a novel type of gait training, which is an unfamiliar but effective task for people with chronic stroke, enhances brain reorganization. Methods Subjects in the experimental and control groups received 30 min of turning-based treadmill training and regular treadmill training, respectively. Cortico-cortical connectivity and cortico-muscular connectivity during walking and gait performance were assessed before and after completing the 12-session training. Results Eighteen subjects ( n = 9 per group) with a mean age of 52.5 ± 9.7 years and an overground walking speed of 0.61 ± 0.26 m/s consented and participated in this study. There were significant group by time interactions for gait speed, temporal gait symmetry, and cortico-cortical connectivity as well as cortico-muscular connectivity in walk-related frequency (24–40 Hz) over the frontal-central-parietal areas. Compared with the regular treadmill training, the turning-based treadmill training resulted in greater improvements in these measures. Moreover, the increases in cortico-cortical connectivity and cortico-muscular connectivity while walking were associated with improvements in temporal gait symmetry. Conclusions Our findings suggest this novel turning-based treadmill training is effective for enhancing brain functional reorganization underlying cortico-cortical and corticomuscular mechanisms and thus may result in gait improvement in people with chronic stroke. Trial registration ACTRN12617000190303 . Registered 3 February 2017, retrospectively registered.

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“…To evaluate the cortical changes at the network level, we considered functional connectivity (FC) patterns that have been previously shown to be sensitive to BCI-related tasks (24) as well as to learning processes (25).…”

Section: Functional Connectivity and Network Analysismentioning

confidence: 99%

Spatiotemporal neural correlates of brain-computer interface learning

Corsi

Chávez

Schwartz

et al. 2018

Preprint

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Brain-computer interfaces (BCIs) have been largely developed to allow communication, control, and neurofeedback in human beings. Despite their great potential, BCIs perform inconsistently across individuals and the neural processes that enable humans to achieve good control remain poorly understood. To address this question, we performed simultaneous high-density electroencephalographic (EEG) and magnetoencephalographic (MEG) recordings in a motor imagery-based BCI training involving a group of healthy subjects.After reconstructing the signals at the cortical level, we showed that the reinforcement of motor-related activity during the BCI skill acquisition is paralleled by a progressive disconnection of associative areas which were not directly targeted during the experiments. Notably, these network connectivity changes reflected growing automaticity associated with BCI performance and predicted future learning rate. Altogether, our findings provide new insights into the large-scale cortical organizational mechanisms underlying BCI learning, which have implications for the improvement of this technology in a broad range of real-life applications.

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Modulating functional connectivity after stroke with neurofeedback: Effect on motor deficits in a controlled cross-over study

Cited by 57 publications

References 105 publications

Brain networks and their relevance for stroke rehabilitation

Brain networks and their relevance for stroke rehabilitation

Novel gait training alters functional brain connectivity during walking in chronic stroke patients: a randomized controlled pilot trial

Spatiotemporal neural correlates of brain-computer interface learning

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