نوع مقاله: مقاله کامل پژوهشی

نویسنده

استادیار، گروه مهندسی برق، آزمایشگاه مهندسی پزشکی، دانشگاه نیشابور، نیشابور

10.22041/ijbme.2018.87434.1357

چکیده

بیماری پارکینسون یک بیماری انحطاط عصبی پیش‌رونده است که با علائم بالینی ترمور، سفتی عضلات و کندی حرکت مشخص می‌شود. تغییرات عمل‌کردی مربوط به درگیری‌های پاتولوژیکی در بیماری پارکینسون، می‌تواند در شبکه‌ای جهت‌دار از تقابلات بین نواحی مختلف مغز در حالت استراحت، که مغز دارای نوسانات خودبه‌خودی پایه است، نشان داده شود. در این مقاله برای ایجاد شبکه‌ی جهت‌دار با استفاده از دادگان تصویربرداری تشدید مغناطیسی حالت استراحت (RS-fMRI)، روش تابع انتقال جهت‌دار (DTF) به همراه تئوری گراف در دو زیر باند فرکانسی بالا و پایین به کار رفته و ارتباطات درون‌گروهی و بین گروه سالم و بیمار، بر مبنای آنالیزهای آماری با هم مقایسه شده است. نتایج مقایسه‌ی گروهی شبکه‌ی ارتباطات تاثیری بین افراد سالم و بیماران پارکینسونی که روی دادگان RS-fMRI بیماری پارکینسون انجام شده است، نشان می‌دهد که در زیر باند فرکانسی پایین در هر دو گروه سالم و بیمار، ارتباطات معنادار بیش‌تری نسبت به زیرباند فرکانسی بالا وجود دارد. شبکه‌های ارتباطی معنادار نشان می‌دهند که ارتباط بین هسته‌های قاعده‌ای و نواحی حرکتی در بیماران پارکینسونی دچار اختلال می‌شود. هم‌چنین برخی نواحی مغز مانند مخچه‌ی چپ دارای بیش‌ترین جریان اطلاعات در شبکه‌ی گراف گروه سالم است که به عنوان ناحیه‌ی اساسی توسط نواحی دیگر تحت تاثیر قرار می‌گیرد، در حالی که این مرکزیت در گروه بیماران به هم می‌خورد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Low and High Frequency Band Connectivity in the Base Fluctuations of the Brain using fMRI Data of Parkinson Disease

نویسنده [English]

  • Mahdieh Ghasemi

Assistant Professor, Department of Electrical Engineering, Biomedical Engineering Lab, University of Neyshabur, Neyshabur, Iran

چکیده [English]

Parkinson’s disease (PD) is a progressive neurological disorder characterized by tremor, rigidity, and slowness of movements. Different pathological attacks in Parkinson’s disease can be investigated by directional relations in the base spontaneous fluctuations of the brain from the resting state functional magnetic resonance imaging (RS-fMRI) data. In this paper, for analyzing the directional brain network at rest, Directed Transform Function (DTF) technique with graph theory has been used in two frequency sub-bands and intra/inter group connectivities were compared by statistical analysis. The result of group comparison between PD and healthy which has been done, showed that there are more significant connections in the low frequency band in Parkinson’s disease and control group compared to high frequency band. The relation between basal ganglia and cerebellum has been disturebed in Parkinson’s disease. Furthermore, some brain regions such as left cerebellum has the most information flow in healthy group which characterized by pivotal regions which were influenced by the other brain regions, this connection became disordered in Parkinsonism.

کلیدواژه‌ها [English]

  • Functional Magnetic Resonance Imaging
  • Parkinson Diseases
  • Directed Transform Function Method
  • Graph Analysis

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