The hemodynamic response to motor activation was investigated by time-resolved NIRS in healthy subjects and patients with unilateral impairment in motor ability. Healthy subjects performed a simple and a complex finger movement task, patients a handgrip task. A General Linear Model approach (GLM) was applied during NIRS data processing. In general, compared to the integral (continuous wave signal), higher significance of activation was found for the variance signal that selectively represents changes in the deep compartment. A discussion of GLM results with respect to task complexity and difficulty is provided.

GLM analysis of time resolved NIRS data of motor activation during different motor tasks

MOLTENI, ERIKA;BIANCHI, ANNA MARIA;CERUTTI, SERGIO
2013-01-01

Abstract

The hemodynamic response to motor activation was investigated by time-resolved NIRS in healthy subjects and patients with unilateral impairment in motor ability. Healthy subjects performed a simple and a complex finger movement task, patients a handgrip task. A General Linear Model approach (GLM) was applied during NIRS data processing. In general, compared to the integral (continuous wave signal), higher significance of activation was found for the variance signal that selectively represents changes in the deep compartment. A discussion of GLM results with respect to task complexity and difficulty is provided.
2013
35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
9781457702167
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/758955
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