Maria
Engstrm1, Mattias Ragnehed2, Peter Lundberg3
1IMH/Radiological Sciences/CMIV,
Linkping University, Linkping, Sweden; 2IKE/Technical
Audiology/CMIV, Linkping University; 3IMH/Radiation Physics/CMIV,
Linkping University
Language
fMRI in aphasic patients are exceptionally challenging. The patients often
have latency in responding to cognitive tasks. Using a data-driven approach
for analysis might enable extraction of language networks even if the task is
not performed at the intended pacing. In this study, five patients with
chronic aphasia were examined. Conventional analysis did not result in
language activation in most patients. When using a data-driven approach, four
out of five patients elicited language related networks. It was concluded
that language areas in patients with aphasia could be extracted using data
driven analysis even if the conventional fMRI analysis fails.
Keywords