کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5630775 1580848 2017 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Sensory-biased attention networks in human lateral frontal cortex revealed by intrinsic functional connectivity
ترجمه فارسی عنوان
شبکه های جلب توجه حساس در قشر جلویی فرونتال بدن انسان بوسیله اتصالات عملکردی ذاتی نشان داده شده است
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب شناختی
چکیده انگلیسی


- Sensory-biased attention networks extend into human lateral frontal cortex (LFC).
- Small N dataset used to mine Human Connectome Project dataset (N = 469).
- RS-functional connectivity confirms 4 sensory-biased LFC regions bilaterally.
- 5 new putative sensory-biased attention regions observed bilaterally in LFC.

Human frontal cortex is commonly described as being insensitive to sensory modality, however several recent studies cast doubt on this view. Our laboratory previously reported two visual-biased attention regions interleaved with two auditory-biased attention regions, bilaterally, within lateral frontal cortex. These regions selectively formed functional networks with posterior visual-biased and auditory-biased attention regions. Here, we conducted a series of functional connectivity analyses to validate and expand this analysis to 469 subjects from the Human Connectome Project (HCP). Functional connectivity analyses replicated the original findings and revealed a novel hemispheric connectivity bias. We also subdivided lateral frontal cortex into 21 thin-slice ROIs and observed bilateral patterns of spatially alternating visual-biased and auditory-biased attention network connectivity. Finally, we performed a correlation difference analysis that revealed five additional bilateral lateral frontal regions differentially connected to either the visual-biased or auditory-biased attention networks. These findings leverage the HCP dataset to demonstrate that sensory-biased attention networks may have widespread influence in lateral frontal cortical organization.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: NeuroImage - Volume 162, 15 November 2017, Pages 362-372
نویسندگان
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