功能性磁振造影應用於中風個案抓握動作常見之影像分析與腦區關聯性分析方式

Common Methods of Image Analysis and Functional Connectivity Analysis in Functional Magnetic Resonance Imaging for Grasping Tasks in Stroke Patients

劉佩怡(Pei-Yi Liu) ； 謝富翰(Fu-Han Hsieh) ； 黃百川(Pai-Chuan Huang)

《臺灣職能治療研究與實務雜誌》 9卷1期 (2013/06) Pp. 75-83

https://doi.org/10.6534/jtotrp.2013.9(1).75

摘要

目的：功能性磁振造影（fMRI）技術已逐漸應用於中風個案動作的研究上，除了可提供大腦可塑性的證據外，亦可為治療成效提供具體證明。本篇旨在介紹fMRI應用於中風個案常見的影像分析方式及相關的連結形式，以更深入了解fMRI所能提供的資訊及可應用的層面。方法：使用搜尋引擎，共蒐集39篇相關文獻。使用分析方式包含：血氧濃度相依對比訊號的改變、側化指數、結構方程模式以及動態因果模式，功能性連結或效率性連結分析。結果：最近幾年的研究顯示結構方程模式以及動態因果模式分析的使用有上升的趨勢，說明腦區之間的因果關係分析日趨重要。結論：分析腦區之間的關聯性及因果關係有助於促進對於中風病患復原機制的了解，可以協助職能治療師更準確地選擇最適療法，提升治療效果，縮短療程。

關鍵字

功能性磁振造影 ； 中風 ； 抓握任務

並列摘要

Objective: Functional magnetic resonance imaging (fMRI) has been increasingly used by studies investigated motor function in stroke patients. It can provide evidence of cortical plasticity and show actual effects of clinical intervention. The purpose of this review is to summarize common methods of image and functional connectivity analysis in fMRI in recent studies to enhance further understanding of the information able to be obtained from fMRI and possible application of fMRI in stroke patients. Methods: Two databases were searched for articles investigating cortical reorganization by functional MR imaging with grasping task from 2001 to 2011. Inclusion criteria were: using fMRI as an evaluating tool; including image processing and functional connectivity analysis; and including grasping task. Results: The use of structural equation modeling (SEM) and dynamic causal modeling (DCM)was increased in recent studies, indicating increasing attention to analysis of functional connectivity. Conclusion: Analyzing functional connectivity could enhance the understanding of the recovery mechanism after stroke and assists therapists to determine optimal therapy for each patient. Hopefully, the effectiveness of the therapy could be increased and the duration of rehabilitation could be shortened.

並列關鍵字

Functional magnetic resonance imaging ； Stroke ； Grasping task