Cluster analysis of activity-time series in motor learning
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Neuroimaging studies of learning focus on brain areas where the activity changes as a function of time. To circumvent the difficult problem of model selection, we used a data-driven analytic tool, cluster analysis, which extracts representative temporal and spatial patterns from the voxel-time series. The optimal number of clusters was chosen using a cross-validated likelihood method, which highlights the clustering pattern that generalizes best over the subjects. Data were acquired with PET at different time points during practice of a visuomotor task. The results from cluster analysis show practice-related activity in a fronto-parieto-cerebellar network, in agreement with previous studies of motor learning. These voxels were separated from a group of voxels showing an unspecific time-effect and another group of voxels, whose activation was an artifact from smoothing.
Originalsprog | Engelsk |
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Tidsskrift | Human Brain Mapping |
Vol/bind | 15 |
Udgave nummer | 3 |
Sider (fra-til) | 135-45 |
Antal sider | 11 |
ISSN | 1065-9471 |
DOI | |
Status | Udgivet - 2002 |
Links
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6871873/
Forlagets udgivne version
ID: 33620721