Optical brain imaging and its application to neurofeedback

Soekadar, Surjo R.; Mihara, Masahito; Lühmann, Alexander von

doi:10.1016/j.nicl.2021.102577

Cited by 26 publications

(22 citation statements)

References 127 publications

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“… 324 , 325 In addition, fNIRS can provide continuous and repeated measurement for longitudinal evaluation, and this can be used not only to assess but also to enhance the training/skill acquisition for complex tasks 326 or to provide online real-time feedback as clinical intervention. 327 There is a vast potential offered by continuous neural measures to reshape our understanding of the brain mechanisms and how we engage with the world. Neuroergonomic applications with NIRS technology may eventually be an integral part of the way we learn new skills, do our work, and entertain ourselves.…”

Section: Functional Applications In Neurodevelopment and Cognitionmentioning

confidence: 99%

Optical imaging and spectroscopy for the study of the human brain: status report

et al. 2022

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. This report is the second part of a comprehensive two-part series aimed at reviewing an extensive and diverse toolkit of novel methods to explore brain health and function. While the first report focused on neurophotonic tools mostly applicable to animal studies, here, we highlight optical spectroscopy and imaging methods relevant to noninvasive human brain studies. We outline current state-of-the-art technologies and software advances, explore the most recent impact of these technologies on neuroscience and clinical applications, identify the areas where innovation is needed, and provide an outlook for the future directions.

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Section: Functional Applications In Neurodevelopment and Cognitionmentioning

confidence: 99%

Optical imaging and spectroscopy for the study of the human brain: status report

et al. 2022

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“…In most cases the recorder is an electroencephalogram (EEG) detecting scalp electrical fluctuations associated with neuronal activity. In practise, any neural signal could be incorporated into a BCI, and implementations using magnetoencephalography (MEG) (Buch et al, 2008;Foldes et al, 2015), functional magnetic resonance imaging (fMRI) (Thibault et al, 2018) and functional near-infrared spectroscopy (fNIRS) (Soekadar et al, 2021) have also shown merit. The decoder is usually a programme run on a computer, extracting desired aspects from the signal and conducting analyses in real-time.…”

Section: Brain-computer Interface For Neurorehabilitation; Basic Premise and Scope Of The Reviewmentioning

confidence: 99%

Challenges and Opportunities for the Future of Brain-Computer Interface in Neurorehabilitation

et al. 2021

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Brain-computer interfaces (BCIs) provide a unique technological solution to circumvent the damaged motor system. For neurorehabilitation, the BCI can be used to translate neural signals associated with movement intentions into tangible feedback for the patient, when they are unable to generate functional movement themselves. Clinical interest in BCI is growing rapidly, as it would facilitate rehabilitation to commence earlier following brain damage and provides options for patients who are unable to partake in traditional physical therapy. However, substantial challenges with existing BCI implementations have prevented its widespread adoption. Recent advances in knowledge and technology provide opportunities to facilitate a change, provided that researchers and clinicians using BCI agree on standardisation of guidelines for protocols and shared efforts to uncover mechanisms. We propose that addressing the speed and effectiveness of learning BCI control are priorities for the field, which may be improved by multimodal or multi-stage approaches harnessing more sensitive neuroimaging technologies in the early learning stages, before transitioning to more practical, mobile implementations. Clarification of the neural mechanisms that give rise to improvement in motor function is an essential next step towards justifying clinical use of BCI. In particular, quantifying the unknown contribution of non-motor mechanisms to motor recovery calls for more stringent control conditions in experimental work. Here we provide a contemporary viewpoint on the factors impeding the scalability of BCI. Further, we provide a future outlook for optimal design of the technology to best exploit its unique potential, and best practices for research and reporting of findings.

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“…The development of optical brain imaging technology, optical BCI (OBCI), allows the conversion of brain activity modulation related to motion images into control commands for external devices. Recent experiments have shown that an OBCI device can restore certain upper-limb functions (Soekadar et al, 2021 ). Trautmann et al ( 2021 ) developed an OBCI driven by dendritic signals in rhesus monkeys and successfully decoded the direction of motion online.…”

Section: Electrical Stimulation Neuromodulationmentioning

confidence: 99%

Restoring Sensorimotor Function Through Neuromodulation After Spinal Cord Injury: Progress and Remaining Challenges

et al. 2021

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Spinal cord injury (SCI) is a major disability that results in motor and sensory impairment and extensive complications for the affected individuals which not only affect the quality of life of the patients but also result in a heavy burden for their families and the health care system. Although there are few clinically effective treatments for SCI, research over the past few decades has resulted in several novel treatment strategies which are related to neuromodulation. Neuromodulation—the use of neuromodulators, electrical stimulation or optogenetics to modulate neuronal activity—can substantially promote the recovery of sensorimotor function after SCI. Recent studies have shown that neuromodulation, in combination with other technologies, can allow paralyzed patients to carry out intentional, controlled movement, and promote sensory recovery. Although such treatments hold promise for completely overcoming SCI, the mechanisms by which neuromodulation has this effect have been difficult to determine. Here we review recent progress relative to electrical neuromodulation and optogenetics neuromodulation. We also examine potential mechanisms by which these methods may restore sensorimotor function. We then highlight the strengths of these approaches and remaining challenges with respect to its application.

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Optical brain imaging and its application to neurofeedback

Cited by 26 publications

References 127 publications

Optical imaging and spectroscopy for the study of the human brain: status report

Optical imaging and spectroscopy for the study of the human brain: status report

Challenges and Opportunities for the Future of Brain-Computer Interface in Neurorehabilitation

Restoring Sensorimotor Function Through Neuromodulation After Spinal Cord Injury: Progress and Remaining Challenges

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