کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4326087 1614059 2011 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Using a self-organizing map algorithm to detect age-related changes in functional connectivity during rest in autism spectrum disorders
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب (عمومی)
پیش نمایش صفحه اول مقاله
Using a self-organizing map algorithm to detect age-related changes in functional connectivity during rest in autism spectrum disorders
چکیده انگلیسی

Healthy individuals show robust functional connectivity during rest, which is stronger in adults than in children. Connectivity occurs between the posterior and anterior portions of the default network, a group of structures active in the absence of a task, including the posterior cingulate cortex and the superior frontal gyrus. Previous studies found weaker posterior–anterior connectivity in the default network in adults and adolescents with autism spectrum disorders (ASD). However, these studies used small a priori regions of interest (“seeds”) to calculate connectivity. Since seed location for all participants was chosen based on controls' brains, these studies' analyses are more tailored to controls than individuals with ASD. An alternative is to use a data-driven approach, such as self-organizing maps (SOM), to create a reference for each participant to calculate connectivity. We used individualized resting-state clusters identified by an SOM algorithm to corroborate previous findings of weaker posterior–anterior connectivity in the ASD group and examine age-related changes in the ASD and control groups. Thirty-nine adolescents with ASD and 41 controls underwent a 10-minute, eyes-open, resting-state functional MRI scan. The SOM analysis revealed that adolescents with ASD versus controls have weaker connectivity between the posterior hub of the default network and the right superior frontal gyrus. Additionally, controls have larger increases in connectivity with age compared to the ASD group. These findings indicate that SOM is a complementary method for calculating connectivity in a clinical population. Additionally, adolescents with ASD have a different developmental trajectory of the default network compared to controls.

Research Highlights
► The self-organizing map is a data-driven approach to calculating connectivity.
► Weaker resting-state posterior to superior frontal connectivity in autistic youth.
► Less increase in connectivity strength with age in autism versus controls.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Brain Research - Volume 1380, 22 March 2011, Pages 187–197
نویسندگان
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