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• W2072928391 abstract "A core goal of human connectomics is to characterise the neural pathways that underlie brain function. This can be largely achieved noninvasively by inferring white matter connectivity using diffusion MRI data. However, there are challenges. First, diffusion tractography is blind to directed connections, or whether a connection is expressed functionally. Second, we need to be able to go beyond the characterization of anatomical pathways, to understand distributed brain function that results from them. In particular, we need to characterise effective connectivity using functional imaging modalities, such as FMRI and M/EEG, to understand its context-sensitivity (e.g., modulation by task), and how it changes with synaptic plasticity. Here, we consider the critical role that biophysical network models have to play in meeting these challenges, by providing a principled way to conciliate information from anatomical and functional data. They also provide biophysically meaningful parameters, through which we can better understand brain function. In a translational setting, well-validated models may shed light on the mechanisms of individual disease processes." @default.
• W2072928391 created "2016-06-24" @default.
• W2072928391 creator A5016719332 @default.
• W2072928391 creator A5088377480 @default.
• W2072928391 date "2013-10-01" @default.
• W2072928391 modified "2023-10-02" @default.
• W2072928391 title "Biophysical network models and the human connectome" @default.
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• W2072928391 cites W1974554864 @default.
• W2072928391 cites W1980246751 @default.
• W2072928391 cites W1983740074 @default.
• W2072928391 cites W1985983039 @default.
• W2072928391 cites W1993938052 @default.
• W2072928391 cites W1995664360 @default.
• W2072928391 cites W1998151455 @default.
• W2072928391 cites W2000133863 @default.
• W2072928391 cites W2005644553 @default.
• W2072928391 cites W2006312249 @default.
• W2072928391 cites W2009494091 @default.
• W2072928391 cites W2012423033 @default.
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• W2072928391 cites W2021655476 @default.
• W2072928391 cites W2022530159 @default.
• W2072928391 cites W2025429003 @default.
• W2072928391 cites W2027063265 @default.
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• W2072928391 doi "https://doi.org/10.1016/j.neuroimage.2013.03.059" @default.
• W2072928391 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23571421" @default.
• W2072928391 hasPublicationYear "2013" @default.
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