Brain-Computer Interface for Stroke Rehabilitation

Mane, Ravikiran; Ang, Kai Keng; Guan, Cuntai

doi:10.1007/978-981-16-5540-1_33

Cited by 4 publications

(1 citation statement)

References 151 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consequently, restorative BCIs are increasingly used in neurorehabilitation to aid motor recovery even in the absence of overt motor output, mostly following a stroke [14][15][16] , or spinal cord injury 17 . Such BCIs specifically aim to induce neuroplastic changes in sensorimotor pathways 12,18 . However, little is known about neuroplasticity induced by BCI-NF training beyond improvements in BCI-NF control itself 13,19 .…”

Section: Introductionmentioning

confidence: 99%

TMS-based neurofeedback training of mental finger individuation induces neuroplastic changes in the sensorimotor cortex

Odermatt,

Schulthess-Lutz,

Mihelj

et al. 2024

Preprint

View full text Add to dashboard Cite

Neurofeedback (NF) training based on motor imagery is increasingly used in neurorehabilitation with the aim to improve motor functions. However, the neuroplastic changes underpinning these improvements are poorly understood. Here, we used mental finger individuation, i.e., the selective facilitation of single finger representations without producing overt movements, as a model to study neuroplasticity induced by NF. To enhance mental finger individuation, we used transcranial magnetic stimulation (TMS)-based NF training. During motor imagery of individual finger movements, healthy participants were provided visual feedback on the size of motor evoked potentials, reflecting their finger-specific corticospinal excitability. We found that TMS-NF improved the top-down activation of finger-specific representations. First, intracortical inhibitory circuits in the primary motor cortex were tuned after training such that inhibition was selectively reduced for the finger that was mentally activated. Second, motor imagery finger representations in sensorimotor areas assessed with functional MRI became more distinct after training. Together, our results indicate that the neural underpinnings of finger individuation, a well-known model system for neuroplasticity, can be modified using TMS-NF guided motor imagery training. These findings demonstrate that TMS-NF induces neuroplasticity in the sensorimotor system, highlighting the promise of TMS-NF on the recovery of fine motor function.

show abstract

Section: Introductionmentioning

confidence: 99%

TMS-based neurofeedback training of mental finger individuation induces neuroplastic changes in the sensorimotor cortex

Odermatt,

Schulthess-Lutz,

Mihelj

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

BCI Channel Reduction and Optimization for Stroke Rehabilitation

Gaber,

Awadallah,

Eldosoky

et al. 2024

2024 14th International Conference on Electrical Engineering (ICEENG)

View full text Add to dashboard Cite

What are community perspectives regarding brain- computer interfaces? A cross-sectional study of community-dwelling adults in the UK

El-Osta,

Ammouri,

Khan

et al. 2024

Preprint

View full text Add to dashboard Cite

Background Brain-computer interfaces (BCIs) have emerged as ground-breaking tools in neuroscience, enabling direct communication between the brain and external devices. This technology holds promise for enhancing the lives of individuals with neurological disorders offering new avenues for rehabilitation, communication and personal autonomy. Despite rapid technological advancements, public perceptions and ethical considerations surrounding BCI technology remain largely unexplored especially within the community setting in the UK. Aims The primary aim was to investigate the knowledge, attitudes and perceptions of community-dwelling adults in the UK regarding BCIs. We also sought to uncover ethical considerations and gauge public interest in potential medical and non-medical applications. Methods This cross-sectional study collected data from 846 respondents using a structured 29-item online questionnaire disseminated through various platforms. Data were collected on demographics, awareness of BCI technology, its applications and participants' willingness to use BCIs under different circumstances. Results Most respondents had never heard of or used BCIs, showing a significant awareness gap. Despite this, there was a strong interest in the medical applications of BCIs particularly for rehabilitation and aiding individuals with disabilities reflecting a cautious optimism towards their development. Conversely, non-medical uses elicited concerns about privacy, data security and long-term societal impacts highlighting ethical and regulatory challenges. Conclusion We recorded broad support for the development of BCI technology especially for applications that improve the quality of life for individuals with disabilities. This support was tempered by a pressing need for public education, engagement and the development of robust ethical guidelines and regulatory frameworks to navigate the future integration of BCIs into society. Addressing these challenges is crucial for realizing the full potential of BCIs in a manner that aligns with societal values and expectations.

show abstract

Brain-Computer Interface for Stroke Rehabilitation

Cited by 4 publications

References 151 publications

TMS-based neurofeedback training of mental finger individuation induces neuroplastic changes in the sensorimotor cortex

TMS-based neurofeedback training of mental finger individuation induces neuroplastic changes in the sensorimotor cortex

BCI Channel Reduction and Optimization for Stroke Rehabilitation

What are community perspectives regarding brain- computer interfaces? A cross-sectional study of community-dwelling adults in the UK

Contact Info

Product

Resources

About