کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8837703 1612885 2018 25 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optical mapping of prefrontal brain connectivity and activation during emotion anticipation
ترجمه فارسی عنوان
نقشه برداری نوری از اتصال مغز پیش مغز و فعال شدن در پیش بینی احساسات
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب رفتاری
چکیده انگلیسی
Accumulated neuroimaging evidence shows that the dorsal lateral prefrontal cortex (dlPFC) is activated during emotion anticipation. The aim of this work is to examine the brain connectivity and activation differences in dlPFC between the positive, neutral and negative emotion anticipation by using functional near-infrared spectroscopy (fNIRS). The hemodynamic responses were first assessed for all subjects during the performance of various emotion anticipation tasks. And then small-world analysis was performed, in which the small-world network indicators including the clustering coefficient, average path length, average node degree, and measure of small-world index were calculated for the functional brain networks associated with the positive, neutral and negative emotion anticipation, respectively. We discovered that compared to negative and neutral emotion anticipation, the positive one exhibited enhanced brain activation in the left dlPFC. Although the functional brain networks for the three emotion anticipation cases manifested the small-world properties regarding the clustering coefficient, average path length, average node degree, and measure of small-world index, the positive one showed significantly higher clustering coefficient and shorter average path length than those from the neutral and negative cases. Consequently, the small-world network indicators and brain activation in dlPPC were able to distinguish well between the positive, neutral and negative emotion anticipation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Behavioural Brain Research - Volume 350, 17 September 2018, Pages 122-128
نویسندگان
, , , , ,