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Showing 1 to 9 of 9 for “"Network Disruption"”.

  1. Modeling the traffic flow evolution process after a network disruption.

    Major disruption to a transportation network can disturb traffic flow patterns significantly. To deploy effective and efficient traffic restoration projects, a good prediction of the traffic flow pattern under network disruption is vital. Although traffic flow evolution processes have been modeled …

    umn Repository record for Modeling the traffic flow evolution process after a network disruption. (opens in a new tab)

  2. Automated Brain Mapping to Evaluate the Relationship between Neurodegeneration, Cerebral Small Vessel Disease and Structural Covariance Network Disruption in Alzheimer's Disease

    … to AD progression by disrupting structural brain networks that subserve complex cognitive routines. Therefore, the overarching aim of this dissertation is to determine the contribution of cerebral small vessel disease (SVD) versus coexistent neurodegeneration to brain network disruption in AD. The …

    toronto-retro Repository record for Automated Brain Mapping to Evaluate the Relationship between Neurodegeneration, Cerebral Small Vessel Disease and Structural Covariance Network Disruption in Alzheimer's Disease (opens in a new tab)

  3. On the neurobiology of apathy and depression in cerebral small vessel disease

    … changes underlie large-scale white matter network disruption, which is related to apathy, but not depression. We then show that depression, as a construct, can be dissociated into distinct symptoms which are associated with overlapping and distinct areas of cortical atrophy over time. This …

    cambridge Repository record for On the neurobiology of apathy and depression in cerebral small vessel disease (opens in a new tab)

  4. Characterizing the Dynamics of Vulnerability for Roadway Infrastructure Systems

    … A number of existing studies address roadway networks where researchers have characterized the robustness and vulnerability of roadways to earthquakes, floods, and targeted attacks. However, extreme events with infrequent return periods are not very likely to occur in a 50-60 year analysis …

    vt Repository record for Characterizing the Dynamics of Vulnerability for Roadway Infrastructure Systems (opens in a new tab)

  5. Imaging Correlates of Heterogeneity in the Syndromes Associated with Frontotemporal Lobar Degeneration

    … structural MRI relates to cortical functional network disruption, and that synaptic loss measured through [<sup>11</sup>C]UCB-J positron emission tomography affects behaviour in relation to changes in functional connectivity. I investigate differences in functional connectivity across the …

    cambridge Repository record for Imaging Correlates of Heterogeneity in the Syndromes Associated with Frontotemporal Lobar Degeneration (opens in a new tab)

  6. Topology matters: characteristics of functional brain networks in healthy subjects and patients with Epilepsy, Diabetes, or Amyotrophic Lateral Sclerosis during a resting-state paradigm.

    … be seen as a complex structural and functional network. Cognitive functioning strongly depends on the organization of functional brain networks. EEG/MEG resting-­‐state functional connectivity and functional brain networks studies attempt to characterize normal brain organization as well as …

    cagliari Repository record for Topology matters: characteristics of functional brain networks in healthy subjects and patients with Epilepsy, Diabetes, or Amyotrophic Lateral Sclerosis during a resting-state paradigm. (opens in a new tab)

  7. Modelling brain tumours with network neurosciences and deep learning

    … glioma was considered a focal disease with local disruption to the brain. However, recent studies suggested that tumour cells would migrate into normal-appearing brain regions through white matter tracts, implying the widespread impact of gliomas. Meanwhile, quantitative MRI technology, including …

    cambridge Repository record for Modelling brain tumours with network neurosciences and deep learning (opens in a new tab)