JMIR Neurotechnology
The intersection between clinical neuroscience and technology to prevent, diagnose, and treat neurological disorders.
Editor-in-Chief:
Pieter Kubben, MD, PhD, Neurosurgeon, Maastricht University Medical Center, Netherlands
Recent Articles
![Invasive Brain-Computer Interfaces: A Critical Assessment of Current Developments and Future Prospects Article Thumbnail](https://asset.jmir.pub/assets/3622e639f6e201f22e23c9c634543a51.png 480w,https://asset.jmir.pub/assets/3622e639f6e201f22e23c9c634543a51.png 960w,https://asset.jmir.pub/assets/3622e639f6e201f22e23c9c634543a51.png 1920w,https://asset.jmir.pub/assets/3622e639f6e201f22e23c9c634543a51.png 2500w)
Invasive brain-computer interfaces (BCIs) are gaining attention for their transformative potential in human-machine interaction. These devices, which connect directly to the brain, could revolutionize medical therapies and augmentative technologies. This viewpoint examines recent advancements, weighs benefits against risks, and explores ethical and regulatory considerations for the future of invasive BCIs.
![Smartphone Pupillometry and Machine Learning for Detection of Acute Mild Traumatic Brain Injury: Cohort Study Article Thumbnail](https://asset.jmir.pub/assets/35e3808471fc6f03fd2803a6578aba05.png 480w,https://asset.jmir.pub/assets/35e3808471fc6f03fd2803a6578aba05.png 960w,https://asset.jmir.pub/assets/35e3808471fc6f03fd2803a6578aba05.png 1920w,https://asset.jmir.pub/assets/35e3808471fc6f03fd2803a6578aba05.png 2500w)
![Beyond Audio-Video Telehealth: Perspective on the Current State and Future Directions of Digital Neurological Care in the United States Article Thumbnail](https://asset.jmir.pub/assets/96ee68e4cd29210765008560d1e38497.png 480w,https://asset.jmir.pub/assets/96ee68e4cd29210765008560d1e38497.png 960w,https://asset.jmir.pub/assets/96ee68e4cd29210765008560d1e38497.png 1920w,https://asset.jmir.pub/assets/96ee68e4cd29210765008560d1e38497.png 2500w)
The COVID-19 pandemic transformed neurological care by both requiring digital health modalities to reach patients and profoundly lowering barriers to digital health adoption. This combination of factors has given rise to a distinctive, emerging care model in neurology characterized by new technologies, care arrangements, and uncertainties. As the pandemic transitions to an endemic, there is a need to characterize the current and future states of this unique period in neurology.
![Virtual Reality–Based Neurorehabilitation Support Tool for People With Cognitive Impairments Resulting From an Acquired Brain Injury: Usability and Feasibility Study Article Thumbnail](https://asset.jmir.pub/assets/cd2de2dd1726e5ae130bec1883477c76.png 480w,https://asset.jmir.pub/assets/cd2de2dd1726e5ae130bec1883477c76.png 960w,https://asset.jmir.pub/assets/cd2de2dd1726e5ae130bec1883477c76.png 1920w,https://asset.jmir.pub/assets/cd2de2dd1726e5ae130bec1883477c76.png 2500w)
Acquired brain injury (ABI) is a prominent cause of disability globally, with virtual reality (VR) emerging as a promising aid in neurorehabilitation. Nonetheless, the diversity among VR interventions can result in inconsistent outcomes and pose challenges in determining efficacy. Recent reviews offer best practice recommendations for designing and implementing therapeutic VR interventions to evaluate the acceptance of fully immersive VR interventions.
![Application of a Low-Cost mHealth Solution for the Remote Monitoring of Patients With Epilepsy: Algorithm Development and Validation Article Thumbnail](https://asset.jmir.pub/assets/3e730803a62caf0a755645f2d50c324a.png 480w,https://asset.jmir.pub/assets/3e730803a62caf0a755645f2d50c324a.png 960w,https://asset.jmir.pub/assets/3e730803a62caf0a755645f2d50c324a.png 1920w,https://asset.jmir.pub/assets/3e730803a62caf0a755645f2d50c324a.png 2500w)
![The Easy and Versatile Neural Recording Platform (T-REX): Design and Development Study Article Thumbnail](https://asset.jmir.pub/assets/2cf0ae130700ac5e0435834abcabfa56.png 480w,https://asset.jmir.pub/assets/2cf0ae130700ac5e0435834abcabfa56.png 960w,https://asset.jmir.pub/assets/2cf0ae130700ac5e0435834abcabfa56.png 1920w,https://asset.jmir.pub/assets/2cf0ae130700ac5e0435834abcabfa56.png 2500w)
Recording time in invasive neuroscientific research is limited and must be used as efficiently as possible. Time is often lost due to a long setup time and errors by the researcher, driven by the number of manually performed steps. Currently, recording solutions that automate experimental overhead are either custom-made by researchers or provided as a submodule in comprehensive neuroscientific toolboxes, and there are no platforms focused explicitly on recording.
![Connect Brain, a Mobile App for Studying Depth Perception in Angiography Visualization: Gamification Study Article Thumbnail](https://asset.jmir.pub/assets/adc1b7d8bb2dfe74d45201f9c7151c08.png 480w,https://asset.jmir.pub/assets/adc1b7d8bb2dfe74d45201f9c7151c08.png 960w,https://asset.jmir.pub/assets/adc1b7d8bb2dfe74d45201f9c7151c08.png 1920w,https://asset.jmir.pub/assets/adc1b7d8bb2dfe74d45201f9c7151c08.png 2500w)
One of the bottlenecks of visualization research is the lack of volunteers for studies that evaluate new methods and paradigms. The increased availability of web-based marketplaces, combined with the possibility of implementing volume rendering, a computationally expensive method, on mobile devices, has opened the door for using gamification in the context of medical image visualization studies.
![A Semantic Relatedness Model for the Automatic Cluster Analysis of Phonematic and Semantic Verbal Fluency Tasks Performed by People With Parkinson Disease: Prospective Multicenter Study Article Thumbnail](https://asset.jmir.pub/assets/7fce1188c88ef56c12e9a70da23988b3.png 480w,https://asset.jmir.pub/assets/7fce1188c88ef56c12e9a70da23988b3.png 960w,https://asset.jmir.pub/assets/7fce1188c88ef56c12e9a70da23988b3.png 1920w,https://asset.jmir.pub/assets/7fce1188c88ef56c12e9a70da23988b3.png 2500w)
Phonematic and semantic verbal fluency tasks (VFTs) are widely used to capture cognitive deficits in people with neurodegenerative diseases. Counting the total number of words produced within a given time frame constitutes the most commonly used analysis for VFTs. The analysis of semantic and phonematic word clusters can provide additional information about frontal and temporal cognitive functions. Traditionally, clusters in the semantic VFT are identified using fixed word lists, which need to be created manually, lack standardization, and are language specific. Furthermore, it is not possible to identify semantic clusters in the phonematic VFT using this technique.
![A Novel System to Monitor Tic Attacks for Tourette Syndrome Using Machine Learning and Wearable Technology: Preliminary Survey Study and Proposal for a New Sensing Device Article Thumbnail](https://asset.jmir.pub/assets/100c68be1c86ff04a9263abb01f434a0.png 480w,https://asset.jmir.pub/assets/100c68be1c86ff04a9263abb01f434a0.png 960w,https://asset.jmir.pub/assets/100c68be1c86ff04a9263abb01f434a0.png 1920w,https://asset.jmir.pub/assets/100c68be1c86ff04a9263abb01f434a0.png 2500w)
Tourette syndrome is a neurological disorder that is characterized by repeated unintentional physical movement and vocal sounds, better known as tics. Cases of mild Tourette can have tics numerous times throughout the day, while severe cases may have tics every 5 to 10 seconds. At certain times, typically during high levels of stress, tics become chained in an incessant, continuous fashion—this is known as a tic attack. Tic attacks incapacitate the patient, rendering it difficult for them to move, perform daily actions, and even communicate with others. Caretakers—usually guardians, family members, or nurses—can help reduce the time tic attacks last with their presence and by providing emotional support to the patient.
![Clinical Perspectives on Using Remote Measurement Technology in Assessing Epilepsy, Multiple Sclerosis, and Depression: Delphi Study Article Thumbnail](https://asset.jmir.pub/assets/ddcdf70b34617be88caccfb39beba502.png 480w,https://asset.jmir.pub/assets/ddcdf70b34617be88caccfb39beba502.png 960w,https://asset.jmir.pub/assets/ddcdf70b34617be88caccfb39beba502.png 1920w,https://asset.jmir.pub/assets/ddcdf70b34617be88caccfb39beba502.png 2500w)
Multiple sclerosis (MS), epilepsy, and depression are chronic central nervous system conditions in which remote measurement technology (RMT) may offer benefits compared with usual assessment. We previously worked with clinicians, patients, and researchers to develop 13 use cases for RMT: 5 in epilepsy (seizure alert, seizure counting, risk scoring, triage support, and trend analysis), 3 in MS (detecting silent progression, detecting depression in MS, and donating data to a biobank), and 5 in depression (detecting trends, reviewing treatment, self-management, comorbid monitoring, and carer alert).
![A Digital Telehealth System to Compute Myasthenia Gravis Core Examination Metrics: Exploratory Cohort Study Article Thumbnail](https://asset.jmir.pub/assets/65ca89f583b6a9bd95b2db7d47b5443c.png 480w,https://asset.jmir.pub/assets/65ca89f583b6a9bd95b2db7d47b5443c.png 960w,https://asset.jmir.pub/assets/65ca89f583b6a9bd95b2db7d47b5443c.png 1920w,https://asset.jmir.pub/assets/65ca89f583b6a9bd95b2db7d47b5443c.png 2500w)
Telemedicine practice for neurological diseases has grown significantly during the COVID-19 pandemic. Telemedicine offers an opportunity to assess digitalization of examinations and enhances access to modern computer vision and artificial intelligence processing to annotate and quantify examinations in a consistent and reproducible manner. The Myasthenia Gravis Core Examination (MG-CE) has been recommended for the telemedicine evaluation of patients with myasthenia gravis.
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