@article {4367, title = {Enhancing Communication for People in Late-Stage ALS Using an fNIRS-Based BCI System.}, journal = {IEEE Trans Neural Syst Rehabil Eng}, volume = {28}, year = {2020}, month = {05/2020}, pages = {1198-1207}, abstract = {

OBJECTIVE: Brain-computer interface (BCI) based communication remains a challenge for people with later-stage amyotrophic lateral sclerosis (ALS) who lose all voluntary muscle control. Although recent studies have demonstrated the feasibility of functional near-infrared spectroscopy (fNIRS) to successfully control BCIs primarily for healthy cohorts, these systems are yet inefficient for people with severe motor disabilities like ALS. In this study, we developed a new fNIRS-based BCI system in concert with a single-trial Visuo-Mental (VM) paradigm to investigate the feasibility of enhanced communication for ALS patients, particularly those in the later stages of the disease.

METHODS: In the first part of the study, we recorded data from six ALS patients using our proposed protocol (fNIRS-VM) and compared the results with the conventional electroencephalography (EEG)-based multi-trial P3Speller (P3S). In the second part, we recorded longitudinal data from one patient in the late locked-in state (LIS) who had fully lost eye-gaze control. Using statistical parametric mapping (SPM) and correlation analysis, the optimal channels and hemodynamic features were selected and used in linear discriminant analysis (LDA).

RESULTS: Over all the subjects, we obtained an average accuracy of 81.3\%{\textpm}5.7\% within comparatively short times (< 4 sec) in the fNIRS-VM protocol relative to an average accuracy of 74.0\%{\textpm}8.9\% in the P3S, though not competitive in patients with no substantial visual problems. Our longitudinal analysis showed substantially superior accuracy using the proposed fNIRS-VM protocol (73.2\%{\textpm}2.0\%) over the P3S (61.8\%{\textpm}1.5\%).

SIGNIFICANCE: Our findings indicate the potential efficacy of our proposed system for communication and control for late-stage ALS patients.

}, keywords = {Amyotrophic Lateral Sclerosis, brain-computer interfaces, Communication, Electroencephalography, Humans, Spectroscopy, Near-Infrared}, issn = {1558-0210}, doi = {10.1109/TNSRE.2020.2980772}, author = {Borgheai, Seyyed Bahram and McLinden, John and Zisk, Alyssa Hillary and Hosni, Sarah Ismail and Deligani, Roohollah Jafari and Abtahi, Mohammadreza and Mankodiya, Kunal and Shahriari, Yalda} } @article {2242, title = {Advances in the application of technology to epilepsy: the CIMIT/NIO Epilepsy Innovation Summit.}, journal = {Epilepsy Behav}, volume = {16}, year = {2009}, month = {09/2009}, pages = {3-46}, abstract = {

In 2008, a group of clinicians, scientists, engineers, and industry representatives met to discuss advances in the application of engineering technologies to the diagnosis and treatment of patients with epilepsy. The presentations also provided a guide for further technological development, specifically in the evaluation of patients for epilepsy surgery, seizure onset detection and seizure prediction, intracranial treatment systems, and extracranial treatment systems. This article summarizes the discussions and demonstrates that cross-disciplinary interactions can catalyze collaborations between physicians and engineers to address and solve many of the pressing unmet needs in epilepsy.

}, keywords = {Adult, Anticonvulsants, Brain Mapping, Child, Drug Resistance, Electric Stimulation Therapy, Electroencephalography, Engineering, Epilepsy, Humans, Magnetic Resonance Imaging, Medical Laboratory Science, Microelectrodes, Nanoparticles, Neurons, Neurosurgery, Neurotoxins, Predictive Value of Tests, Seizures, Spectroscopy, Near-Infrared, Tomography, Emission-Computed, Single-Photon, Tomography, Optical, Transcranial Magnetic Stimulation}, issn = {1525-5069}, doi = {10.1016/j.yebeh.2009.06.028}, url = {http://www.ncbi.nlm.nih.gov/pubmed/19780225}, author = {Schachter, Steven C and Guttag, John and Schiff, Steven J and Schomer, Donald L} }