Median method for determining cortical brain activity in a near infrared spectroscopy image

Autoři: Ondřej Klempíř 1;  Radim Krupička 1;  Robert Jech 2
Působiště autorů: Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno, Czech Republic 1;  Department of Neurology, First Medical Faculty and General University Hospital, Charles University, Prague, Czech Republic 2
Vyšlo v časopise: Lékař a technika - Clinician and Technology No. 1, 2018, 48, 11-16
Kategorie: Původní práce


Near-InfraRed-Spectroscopy (NIRS) is a neuroimaging method of brain cortical activity using low-energy optical radiation to detect local changes in (de)oxyhaemoglobin concentration. A methodology consisting of a raw signal pre-processing phase, followed by statistical analysis based on a general linear model, is currently being used to determine signal activity. The aim of this research is to define the median modification of the standard method usually used for the estimation of cortical activity from the NIRS signal and to verify its applicability in measuring motor tasks for patients with Parkinson's disease. Individual examinations were conducted in 10 cycles, during which finger tapping, and rest phases were alternating. Changes in oxyhaemoglobin concentration were calculated from the native NIRS signal using the modified Lambert-Beer equation. The signals were filtered in the 0.015–0.3 Hz band and fitted by the physiological response function of the brain tissue for each finger tapping cycle separately. The median value from the 10 cycles was then computed. Activity values obtained in individual subjects have been used in Brain Mapping visualizations. These describe motor task patterns during the ON and OFF deep brain stimulation of the subthalamic nucleus in Parkinson's disease, which demonstrates activation in accordance with the current state of knowledge in functional imaging.

near infrared spectroscopy, neuroimaging, Parkinson's disease, neurophotonics, brain mapping, neuromodulation

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