Classification of Tactile and Motor Velocity-Evoked Hemodynamic Response in Primary Somatosensory and Motor Cortices as Measured by Functional Near-Infrared Spectroscopy

Autor: Jacob Greenwood, Steven M. Barlow, Mohsen Hozan, Michaela Sullivan
Jazyk: angličtina
Rok vydání: 2020
Předmět:
common spatial pattern
Haemodynamic response
Pulsatile flow
fNIRS
Stimulus (physiology)
Somatosensory system
lcsh:Technology
regularized discriminant analysis
somatosensory
lcsh:Chemistry
03 medical and health sciences
0302 clinical medicine
pneumatic tactile stimulation
General Materials Science
Instrumentation
lcsh:QH301-705.5
Analysis method
030304 developmental biology
sensorimotor
stroke rehabilitation
Fluid Flow and Transfer Processes
Physics
0303 health sciences
neurorehabilitation
lcsh:T
Process Chemistry and Technology
General Engineering
lcsh:QC1-999
motor
Computer Science Applications
lcsh:Biology (General)
lcsh:QD1-999
Cerebral hemodynamics
lcsh:TA1-2040
Functional near-infrared spectroscopy
neuroprotection
lcsh:Engineering (General). Civil engineering (General)
hemodynamic response
Neuroscience
030217 neurology & neurosurgery
lcsh:Physics
Zdroj: Applied Sciences
Volume 10
Issue 10
Applied Sciences, Vol 10, Iss 3381, p 3381 (2020)
ISSN: 2076-3417
DOI: 10.3390/app10103381
Popis: Functional near-infrared spectroscopy (fNIRS) is an emerging technique in studying cerebral hemodynamics
however, consensus on the analysis methods and the clinical applications has yet to be established. In this study, we demonstrate the results of a pilot fNIRS study of cerebral hemodynamic response (HR) evoked by pneumotactile and sensorimotor stimuli on the dominant hand. Our goal is to find the optimal stimulus parameters to maximally evoke HR in the primary somatosensory and motor cortices. We use a pulsatile pneumatic array of 14 tactile cells that were attached to the glabrous surface of the dominant hand, with a patterned stimulus that resembles saltation at three distinct traverse velocities [10, 25, and 45 cm/s]. NIRS optodes (16 sources
20 detectors) are bilaterally and symmetrically placed over the pre-and post-central gyri (M1 and S1). Our objective is to identify the extent to which cerebral HR can encode the velocity of the somatosensory and/or motor stimuli. We use common spatial pattern for feature extraction and regularized-discriminant analysis for classifying the fNIRS time series into velocity classes. The classification results demonstrate discriminatory features of the fNIRS signal from each distinct stimulus velocity. The results are inconclusive regarding the velocity which evokes the highest intensity of hemodynamic response.
Databáze: OpenAIRE