Pattern classification of large-scale functional brain networks: identification of informative neuroimaging markers for epilepsy. PLoS One 7, e36733.J. Zhang, W. Cheng, Z. Wang, Z. Zhang, W. Lu, G. Lu, and J. Feng, "Pattern classification of large-scale functional brain networks: ...
scale recordings from neuronal ensembles now offer the opportunity to test these competing theoretical frameworks. Currently, wire and micro-machined silicon electrode arrays can record from large numbers of neurons and monitor local neural circuits at work. Achieving the full potential of massively ...
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Distinct systems for automatic and cognitively controlled time measurement: evidence from neuroimaging A recent review of neuroimaging data on time measurement argued that the brain activity seen in association with timing is not influenced by specific chara... Lewis,A Penelope - 《Current Opinion in ...
Major depressive disorder (MDD) has been linked to imbalanced communication among large-scale brain networks, as reflected by abnormal resting-state functional connectivity (rsFC). However, given variable methods and results across studies, identifying consistent patterns of network dysfunction in MDD has...
A dual-stream dissociation for separate phonological and semantic processing has been implicated in adults’ language processing, but it is unclear how this dissociation emerges with development. By employing a graph-theory based brain network analysis, we compared functional interaction architecture during...
2. Enhancing neuropsychiatric research with large-scale open MRI data 3. Advancing understanding of brain disorders through neuroimaging 4. Toward imaging-based early identification and precise treatment for neuropsychiatric disorders 5. Challenges and future directions in psychiatric imaging big data 6. Co...
In recent years, graph theoretical analyses of neuroimaging data have increased our understanding of the organization of large-scale structural and functional brain networks. However, tools for pipeline application of graph theory for analyzing topology of brain networks is still lacking. In this report...
et al. Multi-Modal Neuroimaging Analysis and Visualization Tool (MMVT). Preprint at https://arxiv.org/abs/1912.10079 (2019). Lancaster, J. L. et al. Automated regional behavioral analysis for human brain images. Front. Neuroinform. 6, 23 (2012). Lancaster, J. L. et al. Automated ...
Given that combined genetic and large-scale anatomical analysis of the human brain is technically challenging at high resolution, we turned to the mouse where both the environment and genetic background are controlled and where cell-level resolution is achievable using histology. Although the complex ...