The Organization of Local and Distant Functional Connectivity in the Human Brain

By Jorge Sepulcre, Hesheng Liu, Tanveer Talukdar, Iñigo Martincorena, B. T. T. Yeo, Randy L. Buckner. 2010

419 citations recorded by the source corpus.

Information processing in the human brain arises from both interactions between adjacent areas and from distant projections that form distributed brain systems. Here we map interactions across different spatial scales by estimating the degree of intrinsic functional connectivity for the local (≤14 mm) neighborhood directly surrounding brain regions as contrasted with distant (>14 mm) interactions. The balance between local and distant functional interactions measured at rest forms a map that separates sensorimotor cortices from heteromodal association areas and further identifies regions that possess both high local and distant cortical-cortical interactions. Map estimates of network measures demonstrate that high local connectivity is most often associated with a high clustering coefficient, long path length, and low physical cost. Task performance changed the balance between local and distant functional coupling in a subset of regions, particularly, increasing local functional coupling in regions engaged by the task. The observed properties suggest that the brain has evolved a balance that optimizes information-processing efficiency across different classes of specialized areas as well as mechanisms to modulate coupling in support of dynamically changing processing demands. We discuss the implications of these observations and applications of the present method for exploring normal and atypical brain function.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

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Citations in the corpus

Individual Variability in Functional Connectivity Architecture of the Human Brain (2013, background): “This map of intersubject variability was then directly compared to maps of evolutionary cortical expansion, anatomical variability, and long-range integration and regional segregation (Sepulcre et al., 2010).”
Gradients of structure–function tethering across neocortex (2019, neutral): “The prominence of geometry raises the possibility that systematic deviations between structure and function could be driven by differences in distances spanned by individual regional connection fingerprints (6, 48).”
The organization of the human cerebral cortex estimated by intrinsic functional connectivity. (2011, background): “2010) and preferential local functional coupling in humans (Sepulcre et al. 2010).”
The Influence of Head Motion on Intrinsic Functional Connectivity MRI (2011, methodology): “, 2009) of 50 young healthy subjects as published previously (Sepulcre et al., 2010) to create a binary mask of regions with high local degree connectivity (zN0.”
Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain (2013, background): “High short-range connectivity was observed in mPFC, lPFC, and primary sensorimotor and visual cortices, which corresponds well with a previous study (18).”
Neurodevelopment of the association cortices: Patterns, mechanisms, and implications for psychopathology (2021, neutral): “Higher-order systems exhibit distributed long-range connections, non-canonical circuit organization, and substantial spatial variability across individuals (Buckner and Krienen, 2013; Cui et al., 2020; Kong et al., 2019; Mueller et al., 2013; Oligschl€ager et al., 2017; Sepulcre et al., 2010).”
Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality and Emotion (2017, background): “The main challenge is that because of strong long-range functionally connectivity (Sepulcre et al., 2010), the MS-HBM will always result in spatially distributed networks even when estimating large number (e.”
Reconfigurable task-dependent functional coupling modes cluster around a core functional architecture (2014, methodology): “However, reconfigurations can be directly induced by changing the behavioural task or behavioural context [14–39].”