کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3074881 1580957 2016 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Applying a free-water correction to diffusion imaging data uncovers stress-related neural pathology in depression
ترجمه فارسی عنوان
استفاده از تصحیح بدون آب برای داده های تصویربرداری انتشار، پاتولوژی عصبی مربوط به استرس در افسردگی را کشف می کند
کلمات کلیدی
تصویربرداری تانسور انتشار؛ آب تصفیه شده DTI؛ اختلال افسردگی عمده؛ آمار فضایی مبتنی بر تراکت؛ ناپیوستگی جزئی؛ diffusivity محوری
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی روانپزشکی بیولوژیکی
چکیده انگلیسی


• DTI suffers from partial volume effects that limit the estimation of white-matter integrity in major depressive disorder.
• Applying a free-water correction to DTI data improves the sensitivity of DTI metrics to identify effects in depression.
• Reductions in free-water DTI metrics in depression were associated with increased stress.

Diffusion tensor imaging (DTI) holds promise for developing our understanding of white-matter pathology in major depressive disorder (MDD). Variable findings in DTI-based investigations of MDD, however, have thwarted development of this literature. Effects of extra-cellular free-water on the sensitivity of DTI metrics could account for some of this inconsistency. Here we investigated whether applying a free-water correction algorithm to DTI data could improve the sensitivity to detect clinical effects using DTI metrics. Only after applying this correction, we found: a) significantly decreased fractional anisotropy and axial diffusivity (AD) in the left inferior fronto-occipital fasciculus (IFOF) in MDD; and b) increased self-reported stress that significantly correlated with decreased IFOF AD in depression. We estimated and confirmed the robustness of differences observed between free-water corrected and uncorrected approaches using bootstrapping. We conclude that applying a free-water correction to DTI data increases the sensitivity of DTI-based metrics to detect clinical effects in MDD.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: NeuroImage: Clinical - Volume 10, 2016, Pages 336–342
نویسندگان
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