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Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease

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TLDR
To identify regions of high connectivity in the human cerebral cortex, a computationally efficient approach was applied to map the degree of intrinsic functional connectivity across the brain and explored whether the topography of hubs could explain the pattern of vulnerability in Alzheimer's disease (AD).
Abstract
Recent evidence suggests that some brain areas act as hubs interconnecting distinct, functionally specialized systems. These nexuses are intriguing because of their potential role in integration and also because they may augment metabolic cascades relevant to brain disease. To identify regions of high connectivity in the human cerebral cortex, we applied a computationally efficient approach to map the degree of intrinsic functional connectivity across the brain. Analysis of two separate functional magnetic resonance imaging datasets (each n = 24) demonstrated hubs throughout heteromodal areas of association cortex. Prominent hubs were located within posterior cingulate, lateral temporal, lateral parietal, and medial/lateral prefrontal cortices. Network analysis revealed that many, but not all, hubs were located within regions previously implicated as components of the default network. A third dataset (n = 12) demonstrated that the locations of hubs were present across passive and active task states, suggesting that they reflect a stable property of cortical network architecture. To obtain an accurate reference map, data were combined across 127 participants to yield a consensus estimate of cortical hubs. Using this consensus estimate, we explored whether the topography of hubs could explain the pattern of vulnerability in Alzheimer's disease (AD) because some models suggest that regions of high activity and metabolism accelerate pathology. Positron emission tomography amyloid imaging in AD (n = 10) compared with older controls (n = 29) showed high amyloid-beta deposition in the locations of cortical hubs consistent with the possibility that hubs, while acting as critical way stations for information processing, may also augment the underlying pathological cascade in AD.

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Journal ArticleDOI

The Functional Architecture of the Infant Brain as Revealed by Resting-State fMRI

TL;DR: Results are presented showing that cortical hubs and their associated cortical networks are largely confined to primary sensory and motor brain regions in the infant brain and suggest that the functional network architecture in infants is linked to support tasks that are of a perception-action nature.
Journal ArticleDOI

Eigenvector centrality mapping for analyzing connectivity patterns in fMRI data of the human brain.

TL;DR: The analyses demonstrate that eigenvector centrality is a computationally efficient tool for capturing intrinsic neural architecture on a voxel-wise level and applications based on linear correlations and on spectral coherences between fMRI times series are presented.
Journal ArticleDOI

Mapping distributed brain function and networks with diffuse optical tomography

TL;DR: A high-density diffuse optical tomography imaging array that can map higher-order, distributed brain function is presented and imaged brain function in patients with Parkinson's disease and implanted deep brain stimulators that preclude functional magnetic resonance imaging.
Journal ArticleDOI

Disrupted Axonal Fiber Connectivity in Schizophrenia

TL;DR: Evidence of widespread dysconnectivity in white-matter connectional architecture in a large sample of patients with schizophrenia is presented, pointing to a multifaceted pathophysiology in schizophrenia encompassing axonal as well as putative synaptic mechanisms.
Journal ArticleDOI

Energetic cost of brain functional connectivity.

TL;DR: A simple model for the energy demands of brain functional connectivity was tested with positron emission tomography and MRI in 54 healthy volunteers at rest and found that the energy efficiency of the connectivity hubs was higher for ventral precuneus, cerebellum, and subcortical hubs than for cortical hubs.
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