Functional near infrared spectroscopy-based dual-stream adaptive language mapping in adults with and without post-stroke aphasia
Meier, E. L.; Fletcher, V.; Hung, C.; Andraos, E. A.; Ugent, L.; Wei, G.; Lin, D. J.; Yücel, M. A.
Show abstract
In aphasia, variability in lesion location and post-stroke network reorganization complicates efforts to identify the regions that support semantic versus phonological processing. In prior work, researchers have often examined these domains in separate patient cohorts, further limiting direct comparison of their neural substrates within aphasia. To address this gap, we investigated the degree of overlap and specialization within semantic and phonological networks in adults with and without aphasia and examined how neural activity relates to task performance and lesion profiles. Sixteen neurologically healthy adults and 15 participants with aphasia following left hemisphere stroke completed adaptive Semantic Matching and Rhyme Judgment tasks during functional near-infrared spectroscopy (fNIRS) recording. Changes in oxyhemoglobin and deoxyhemoglobin were measured within regions of interest, and activation was related to standardized task performance and damage to left ventral and dorsal language pathways in participants with aphasia. Controls showed largely distinct activation patterns consistent with prior fMRI findings: Semantic Matching preferentially recruited ventral stream regions, particularly left temporal cortex, whereas Rhyme Judgment more strongly recruited dorsal regions, including left inferior frontal and inferior parietal cortex. Participants with aphasia showed greater inter-individual variability and no clear group-level segregation of dorsal and ventral activity. Better Semantic Matching performance was associated with less left ventral stream damage and greater left dorsal activation, whereas better Rhyme Judgment performance was associated with lower right hemisphere ventral and dorsal activation. These findings suggest that post-stroke language performance reflects residual specialization, lesion-dependent constraints, and flexible recruitment of surviving tissue. Overall, fNIRS shows promise as an alternative to fMRI for language mapping in post-stroke aphasia, although replication in larger samples with more extensive cortical coverage is warranted.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Progressive lesion necrosis is related to increasing aphasia severity in chronic stroke 93%
- Transcranial magnetic stimulation language mapping analysis revisited: Machine learning classification of 90 patients reveals distinct reorganization pattern in aphasic patients. 93%
- Post-stroke changes in brain structure and function can both influence acute upper limb function and subsequent recovery 92%
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Transient perturbation of the left temporal cortex evokes plasticity-related reconfiguration of the lexical network 93%
- Exploring neural tracking of acoustic and linguistic speech representations in individuals with post-stroke aphasia 93%
- Functional rerouting via the structural connectome is associated with better recovery after mild TBI 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.