کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5736717 1613774 2017 53 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Graph theoretical analysis of functional network for comprehension of sign language
ترجمه فارسی عنوان
تجزیه و تحلیل نظری گراف از شبکه عملکردی برای درک زبان اشاره
کلمات کلیدی
جراحی سمت چپ عمقی تجزیه و تحلیل نظری گراف، توپی زبان اشاره،
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب (عمومی)
چکیده انگلیسی
Signed languages are natural human languages using the visual-motor modality. Previous neuroimaging studies based on univariate activation analysis show that a widely overlapped cortical network is recruited regardless whether the sign language is comprehended (for signers) or not (for non-signers). Here we move beyond previous studies by examining whether the functional connectivity profiles and the underlying organizational structure of the overlapped neural network may differ between signers and non-signers when watching sign language. Using graph theoretical analysis (GTA) and fMRI, we compared the large-scale functional network organization in hearing signers with non-signers during the observation of sentences in Chinese Sign Language. We found that signed sentences elicited highly similar cortical activations in the two groups of participants, with slightly larger responses within the left frontal and left temporal gyrus in signers than in non-signers. Crucially, further GTA revealed substantial group differences in the topologies of this activation network. Globally, the network engaged by signers showed higher local efficiency (t(24) = 2.379, p = 0.026), small-worldness (t(24) = 2.604, p = 0.016) and modularity (t(24) = 3.513, p = 0.002), and exhibited different modular structures, compared to the network engaged by non-signers. Locally, the left ventral pars opercularis served as a network hub in the signer group but not in the non-signer group. These findings suggest that, despite overlap in cortical activation, the neural substrates underlying sign language comprehension are distinguishable at the network level from those for the processing of gestural action.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Brain Research - Volume 1671, 15 September 2017, Pages 55-66
نویسندگان
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