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Task-related fMRI studies also may help identify characteristics of brain connectivity that can help predict whether or how readily an alcoholic will achieve abstinence.
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To date, deciphering the mouse brain functional connectivity (MBFC) with rsfMRI remains a largely underexplored research area, despite the plethora of human brain disorders that can be modeled in this specie.
Recent advances in neuroimaging studies have enabled us to search for both structural (e.g., cortical thickness, brain volume) and functional (functional connectivity) abnormalities that can potentially be used as new biomarkers of ADHD.
We need to harness the connectivity innovations that can deliver value.
Taken together, these support our disconnect hypothesis of HE; that is, disrupted regional brain connectivity network can be involved in the cognitive dysfunction in cirrhotic patients.
Furthermore, brain connectivity networks can be constructed from the tensor data, embedding subtle interactions between brain regions.
A more complete evaluation of these brain connectivity graphs can be found in [32].
Brain connectivity data can be integrated from different sources.
Alternatively, brain connectivity can be inferred from a multivariate regression that is solved using either dimensionality reduction [ 34] or regularization [ 43].
Further, abnormal brain connectivity can be visually understood by inspecting the altered geometry of these three-dimensional (3D) embeddings that represent the topology of the human brain, as illustrated using simulated lesion studies of both targeted and random removal.
Such fluctuations shift connectivity between different brain regions and networks, a phenomenon that can be tracked with fcMRI.
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