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Updated: May 14, 2026
Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
Published on: December 5, 2014
Template-based approach for detecting motor task activation-related hyperperfusion in pulsed ASL data
Jan Petr1, Jean-Christophe Ferré, Hélène Raoult
1INRIA, Team VisAGeS, Campus Universitaire de Beaulieu, Rennes, France; INSERM, Unit VisAGeS U746, Campus Universitaire de Beaulieu, Rennes, France; University of Rennes I, CNRS, Unit VisAGeS U746, IRISA, Campus Universitaire de Beaulieu, Rennes, France; Helmholtz-Zentrum Dresden-Rossendorf, Dep. of Positron Emission Tomography, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany.
Arterial spin labeling (ASL) can detect brain activation by comparing cerebral blood flow (CBF) templates. This method, enhanced by partial volume effect correction, improves activation detection accuracy.
Area of Science:
- Neuroimaging
- Medical Physics
Background:
- Arterial spin labeling (ASL) enables noninvasive, quantitative measurement of cerebral blood flow (CBF).
- ASL is suitable for studying perfusion variations at rest and during functional magnetic resonance imaging (fMRI) tasks.
Purpose of the Study:
- To compare a template-based approach with a standard generalized linear model (GLM) for detecting brain activation using ASL-derived CBF.
- To evaluate the impact of spatial normalization (DARTEL) and partial volume effect (PVE) correction on template-based activation detection.
Main Methods:
- A basal perfusion template was created from ASL images of 25 healthy subjects.
- A second group of 12 subjects performed a motor task.
- The template was compared to the activated group's images at individual and group levels. GLM analysis served as ground truth.
Main Results:
- The template approach successfully detected activation-related hyperperfusion in motor areas.
- Partial volume effect (PVE) correction increased the true positive ratio by 2.5%.
- PVE correction combined with DARTEL registration further improved the true positive ratio by 3.2%. Group comparison showed a 2.2% higher true positive ratio than one-to-many comparison.
Conclusions:
- A basal perfusion template approach is effective for detecting brain activation using ASL-derived CBF.
- PVE correction and DARTEL registration enhance the accuracy of template-based activation mapping.
- The template method offers a viable alternative to GLM for analyzing ASL perfusion data.
