人類大腦之間的神經活動關聯性近年來已逐漸發展並深入討論，功能性磁振造影(Functional magnetic resonance imagimg, fMRI)的成像技術能透過大腦血氧的變化來觀察大腦內的活動情況。
為了瞭解大腦白質神經連結對於大腦神經活動連結分析影響，我們利用擴散磁振造影(Diffusion magnetic resonance imagimg, dMRI)的技術並使用演算法將大腦白質神經追蹤出來。接著將fMRI及dMRI兩者技術的資料集合併並稱為解剖權重功能性連接(Anatomically weighted functional connectivity, awFC)。最後會對三種資料分析方法的結果做討論，實驗結果發現，使用解剖權重功能性連接的資料集的分群結果具有較高的功能性連接 (Functional connectivity, FC)強度與結構性連接(Structural connectivity, SC)強度。

Recently, the relation among activated human brain regions has drawn interests and has been investigated. The imaging technique of functional magnetic resonance imagimg (fMRI) can be used to observe by changes in cerebral blood oxygenation and, therefore, brain connectivity.
To understand how white matter (WM) tractography influences brain connectivity, we use diffusion magnetic resonance imagimg (dMRI) technique and algorithm to calculate WM map. The connectivity measurement combining fMRI and dMRI datasets is called anatomically weighted functional connectivity (awFC). Finally, the results show that, when using awFC datasets, the clusters have higher functional connectivity (FC) and structural connectivity (SC) strength when using awFC datasets.

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