http://www.sciencedirect.com/science/article/pii/S0093934X12002052
Abstract
Previous
research on participants with aphasia has mainly been based on standard
functional neuroimaging analysis. Recent studies have shown that
functional connectivity analysis can detect compensatory activity, not
revealed by standard analysis. Little is known, however, about the
default-mode network in aphasia. In the current study, we studied
changes in the default-mode network in subjects with aphasia who
underwent semantic feature analysis therapy. We studied nine
participants with chronic aphasia and compared them to 10 control
participants. For the first time, we identified the default-mode network
using spatial independent component analysis, in participants with
aphasia. Intensive therapy improved integration in the posterior areas
of the default-mode network concurrent with language improvement.
Correlations between integration and improvement did not reach
significance, but the trend suggests that pre-therapy integration of the
default-mode network may predict therapy outcomes. Functional
connectivity allows a better understanding of the impact of semantic
feature analysis in aphasia.
Highlights
►
We are reporting on a group (9) of participants that benefited from SFA
therapy. ► We examined functional connectivity in the DMN as compared
to healthy elderly controls. ► For the first time, we identified the DMN
in participants with aphasia. ► Intensive therapy improved integration
in the posterior areas of the DMN in the aphasia group only. ► A trend
emerged between DMN integration prior to therapy and improvement in
participants with aphasia.
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