10/05/2026
Aphasia Research Highlights ๐ ๐ โฃ
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๐๐๐ด๐๐๐/๐ฆ๐ฒ๐ฝ๐๐ฒ๐บ๐ฏ๐ฒ๐ฟ ๐ฎ๐ฌ๐ฎ๐ฒโฃ
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๐๐๐๐๐ก๐๐จ๐๐ ๐๐๐ข๐๐ข๐๐๐ ๐ง๐ฅ๐๐๐ง๐ ๐๐ก๐งโฃ
Neumann and colleagues (2026) examined a bilingual adaptation of ECoLoGiC-Tx, a functional aphasia intervention centered on spontaneous, meaningful conversation.โฃ
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๐๐ฅ๐ข๐จ๐ฃ-๐๐๐ฆ๐๐ ๐๐ก๐ง๐๐ฅ๐ฉ๐๐ก๐ง๐๐ข๐ก ๐๐ข๐ฅ ๐๐๐๐๐๐จ๐๐๐โฃ
Benn and colleagues (2026) examined a novel approach to acalculia rehabilitation that moves beyond traditional drill-based practice. Four chronic stroke survivors with acquired numerical difficulties participated in group sessions combining embodied learning, playfulness, multisensory activities, and social interaction.โฃ
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๐๐ซ๐๐ ๐๐ก๐๐ก๐ ๐ก๐จ๐ ๐๐๐ฅ ๐ข๐ ๐๐๐๐ง๐จ๐ฅ๐๐ฆ ๐๐ข๐ฅ ๐ฆ๐๐โฃ
Hula and colleagues (2026) examined whether generating more semantic features during Semantic Feature Analysis (SFA) improves naming outcomes. Forty adults with chronic post-stroke aphasia completed 42 hours of SFA over 3 weeks, randomized to generate either 11 or 5 features per trial.โฃ
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๐ฆ๐ฃ๐๐๐๐ ๐ฆ๐ฌ๐ก๐๐๐ฅ๐ข๐ก๐๐ญ๐๐ง๐๐ข๐ก ๐ฆ๐ฌ๐ฆ๐ง๐๐ ๐๐ง๐๐ ๐ฅ๐๐ฉ๐๐๐ชโฃ
Davis and colleagues (2026) reviewed 32 studies examining speech synchronization techniques in post-stroke aphasia, which involve speaking in real time alongside an auditory or audiovisual model.โฃ
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๐ง๐๐๐-๐๐๐ฆ๐๐ ๐๐ก๐ง๐๐ฅ๐ฉ๐๐ก๐ง๐๐ข๐ก๐ฆ ๐ฆ๐ฌ๐ฆ๐ง๐๐ ๐๐ง๐๐ ๐ฅ๐๐ฉ๐๐๐ชโฃ
Alhejji and colleagues (2026) conducted a systematic review of 67 studies examining computerized speech-language therapy (CSLT), virtual reality (VR), and artificial intelligence (Al) in aphasia rehabilitation.โฃ
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