کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6804240 | 1433555 | 2015 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Superficial white matter as a novel substrate of age-related cognitive decline
ترجمه فارسی عنوان
ماده سفید سطحی به عنوان یک زیرمجموعه جدید از کاهش شناختی مرتبط با سن
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کلمات کلیدی
ماده سفید سفید شناختی پیری تصویربرداری تانسور نفوذ،
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
سالمندی
چکیده انگلیسی
Studies of diffusion tensor imaging have focused mainly on the role of deep white matter tract microstructural abnormalities associated with aging and age-related cognitive decline. However, the potential role of superficial white matter (SWM) in aging and, by extension, cognitive-aging, is less clear. Healthy individuals (n = 141; F/M: 66/75 years) across the adult lifespan (18-86 years) underwent diffusion tensor imaging and a battery of cognitive testing. SWM was assessed via a combination of probabilistic tractography and tract-based spatial statistics (TBSS). A widespread inverse relationship of fractional anisotropy (FA) values in SWM with age was observed. SWM-FA adjacent to the precentral gyri was associated with fine-motor-speed, whereas performance in visuomotor-attention/processing speed correlated with SWM-FA in all 4 lobes of the left-hemisphere and in right parieto-occipital SWM-FA (family-wise error corrected p < 0.05). Independent of deep white matter-FA, right frontal and right occipital SWM-FA-mediated age effects on motor-speed and visuomotor-attention/processing speed, respectively. Altogether, our results indicate that SWM-FA contributes uniquely to age-related cognitive performance, and should be considered as a novel biomarker of cognitive-aging.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurobiology of Aging - Volume 36, Issue 6, June 2015, Pages 2094-2106
Journal: Neurobiology of Aging - Volume 36, Issue 6, June 2015, Pages 2094-2106
نویسندگان
Arash Nazeri, M. Mallar Chakravarty, Tarek K. Rajji, Daniel Felsky, David J. Rotenberg, Mikko Mason, Li N. Xu, Nancy J. Lobaugh, Benoit H. Mulsant, Aristotle N. Voineskos,