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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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Citations
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An Anterior-to-Posterior Shift in Midline Cortical Activity in Schizophrenia During Self-Reflection

TL;DR: In this paper, the authors found that patients with schizophrenia show dysfunction of the medial prefrontal cortex during self-reflection and that this abnormal activity is associated with changes in the strength of resting-state correlations between these regions.
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Differential neural activity in the recognition of old versus new events: an activation likelihood estimation meta-analysis.

TL;DR: Neural activity distinguishing old from new events comprises an ensemble of multiple memory‐specific activities, including encoding, retrieval, and priming, as well as multiple types of more general cognitive activities, such as default‐mode, cognitive‐control, and reward processing.
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In defense of abstract conceptual representations

TL;DR: The evidence supports a hierarchical model of knowledge representation in which modal systems provide a mechanism for concept acquisition and serve to ground individual concepts in external reality, whereas broadly conjunctive, supramodal representations play an equally important role in concept association and situation knowledge.
Journal ArticleDOI

The effects of antidepressant treatment on resting-state functional brain networks in patients with major depressive disorder.

TL;DR: In this article, the functional connectivity strength (FCS) was analyzed using a graph-theory approach to determine treatment-related changes in the whole brain connectivity of major depressive disorder patients.
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Journal ArticleDOI

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