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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Distance-dependent consensus thresholds for generating group-representative structural brain networks
TL;DR: It is shown that current approaches for generating sparse group-representative networks overestimate the proportion of short-range connections present in a network and, as a result, fail to match subject-level networks along a wide range of network statistics, and presents an alternative approach that preserves the connection-length distribution of individual subjects.
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Making sense of brain network data
TL;DR: New methods for mapping synaptic connections and recording neural signals generate rich and complex data on the structure and dynamics of brain networks that require a concerted effort directed at data analysis and reduction as well as computational modeling.
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Toward neurobiological characterization of functional homogeneity in the human cortex: regional variation, morphological association and functional covariance network organization
Lili Jiang,Ting Xu,Ye He,Xiao-Hui Hou,Jinhui Wang,Xiao-Yan Cao,Xiao-Yan Cao,Gao-Xia Wei,Zhi Yang,Yong He,Xi-Nian Zuo,Xi-Nian Zuo +11 more
TL;DR: Structural and resting-state functional magnetic resonance imaging scans from 482 healthy subjects are employed and the vertex-wise regional homogeneity of low-frequency fluctuations (2dReHo) and five measures of cortical morphology are computed to suggest that local functional homogeneity has neurobiological relevance that is likely determined by anatomical, developmental and neurocognitive factors.
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Opportunities of connectomic neuromodulation.
TL;DR: This article focuses on deep brain stimulation, but shows that the same principles can be applied to other forms of neuromodulation, such as transcranial magnetic stimulation and MRI-guided focused ultrasound.
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Rich cell-type-specific network topology in neocortical microcircuitry
Eyal Gal,Michael London,Amir Globerson,Srikanth Ramaswamy,Michael W. Reimann,Eilif Muller,Henry Markram,Idan Segev +7 more
TL;DR: A systematic approach enables interpretation of microconnectomics 'big data' and provides several experimentally testable predictions about cell-type-specific network properties when synaptic strength and sign were considered in generating a functional topology.
References
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