The Human Connectome: A Structural Description of the Human Brain
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TLDR
A research strategy to achieve the connection matrix of the human brain (the human “connectome”) is proposed, and its potential impact is discussed.Abstract:
The connection matrix of the human brain (the human “connectome”) represents an indispensable foundation for basic and applied neurobiological research. However, the network of anatomical connections linking the neuronal elements of the human brain is still largely unknown. While some databases or collations of large-scale anatomical connection patterns exist for other mammalian species, there is currently no connection matrix of the human brain, nor is there a coordinated research effort to collect, archive, and disseminate this important information. We propose a research strategy to achieve this goal, and discuss its potential impact.read more
Citations
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Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons
Shuangming Yang,Bin Deng,Jiang Wang,Huiyan Li,Meili Lu,Yanqiu Che,Xile Wei,Kenneth A. Loparo +7 more
TL;DR: The experimental results demonstrate that the proposed work can provide an efficient model and architecture for large-scale biologically meaningful networks, while the hardware synthesis results demonstrate low area utilization and high computational speed that supports the scalability of the approach.
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Spatially constrained hierarchical parcellation of the brain with resting-state fMRI
Thomas Blumensath,Saâd Jbabdi,Matthew F. Glasser,David C. Van Essen,Kamil Ugurbil,Timothy E.J. Behrens,Timothy E.J. Behrens,Stephen M. Smith +7 more
TL;DR: A single subject approach allows a subject-specific parcellation of the cortex, which shows high scan-to-scan reproducibility and whose borders delineate clear changes in functional connectivity.
Journal ArticleDOI
Evaluation and statistical inference for human connectomes
TL;DR: Linear fascicle evaluation (LiFE) takes any connectome as input and predicts diffusion measurements as output, using the difference between the measured and predicted diffusion signals to quantify the prediction error.
Journal ArticleDOI
Persistent Brain Network Homology From the Perspective of Dendrogram
TL;DR: A novel multiscale framework that models all brain networks generated over every possible threshold and is based on persistent homology and its various representations such as the Rips filtration, barcodes, and dendrograms to quantify various persistent topological features at different scales in a coherent manner.
Journal ArticleDOI
White matter and cognition: making the connection
TL;DR: Evidence from behavioral neurology thatwhite matter lesions regularly disturb cognition is presented, the role of white matter in the physiology of distributed neural networks is considered, the hypothesis that white matter dysfunction is relevant to neurodegenerative disorders, and emerging concepts regarding the prevention and treatment of cognitive dysfunction associated with white matter disorders are discussed.
References
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