نتایج جستجو برای: fmri
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Both resting state fMRI (R-fMRI) and task-based fMRI (T-fMRI) have been widely used to study the functional activities of the human brain during task-free and task-performance periods, respectively. However, due to the difficulty in strictly controlling the participating subject's mental status and their cognitive behaviors during R-fMRI/T-fMRI scans, it has been challenging to ascertain whethe...
Functional magnetic resonance imaging (fMRI) is a non-invasive technique that allows for visualization of activated brain regions. Until recently, fMRI studies have focused on gray matter. There are two main reasons white matter fMRI remains controversial: (1) the blood oxygen level dependent (BOLD) fMRI signal depends on cerebral blood flow and volume, which are lower in white matter than gray...
Currently, functional magnetic resonance imaging (fMRI) facilitates a preoperative awareness of an association of an eloquent region with a tumor. This information gives the neurosurgeon helpful information that can aid in creating a surgical strategy. Typically, task-based fMRI has been employed to preoperatively localize speech and motor function. Task-based fMRI depends on the patient's abil...
fMRI-constrained EEG/MEG source imaging can be a powerful tool in studying human brain functions with enhanced spatial and temporal resolutions. Recent studies on the combination of fMRI and EEG/MEG have suggested that fMRI prior information could be readily implemented by simply imposing different weighting factors to cortical sources overlapping with the fMRI activations. It has been also rep...
تشخیص به موقع و صحیح اختلال دوقطبی (BD) و متعاقب آن انجام فرایندهای درمانی، برای جلوگیری از پیشرفت و وخیم شدن این بیماری ضروریست. اگرچه استفاده از دادههای مبتنی بر تصویربرداری تشدید مغناطیسی عملکردی در حال استراحت (rs-fMRI) و ویژگیهای استخراج شده از آنها ممکن است نقش مؤثری در تشخیص اختلال دوقطبی داشته باشد، اما تاکنون تحقیقات اندکی بر روی تشخیص افراد مبتلا به BD به کمک rs-fMRI صورت گرفته است...
Functional connectivity (FC) studies have demonstrated the overarching value of studying brain and its disorders through undirected weighted graph functional magnetic resonance imaging (fMRI) correlation matrix. However, most work with FC depends on way is computed, it further manual post-hoc analysis matrices. In this work, we propose a deep learning architecture BrainGNN that learns structure...
NATIONAL REVIEW OF 291 OBIOLOGY, VOL. 66 Copyright 2005, Elsev All rights re 0.1016/S0074-7742(05)66010-2 0074-7742/05 II. T he Signals A. E EG B. f MRI III. T he Relation Between EEG and fMRI Signals IV. N onsimultaneous and Simultaneous EEG and fMRI Data Acquisition A. N onsimultaneous EEG–fMRI Acquisition B. S imultaneous EEG–fMRI Acquisition C. f MRI Data Acquisition V. A rtifact Reduction ...
Background Changes in functional MRI (fMRI) have been associated with Alzheimer’s disease and other neurological disorders. Quality control (QC) of images prior to their computational analysis is a key step clinical trial workflow, it traditionally implemented visually by image analysts. However, the number acquired from large studies makes neuroimaging QC difficult task that diverts skilled re...
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