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Network Neuroscience Volume 4 Issue 2

Subject Areas: Artificial Intelligence; ; ; ; ;
Publisher: MIT Press - MIT Press
SJR: 22

Open Access

Journal Article

Decoding the circuitry of consciousness: From local microcircuits to brain-scale networks

Modolo, Julien; Hassan, Mahmoud; Wendling, Fabrice; Benquet, Pascal

2020 Network Neuroscience

doi:10.1162/netn_a_00119 pmid:32537530

Identifying the physiological processes underlying the emergence and maintenance of consciousness is one of the most fundamental problems of neuroscience, with implications ranging from fundamental neuroscience to the treatment of patients with disorders of consciousness (DOCs). One major...
Open Access

Journal Article

Model-based whole-brain effective connectivity to study distributed cognition in health and disease

Gilson, Matthieu; Zamora-López, Gorka; Pallarés, Vicente; Adhikari, Mohit H.; Senden, Mario; Campo, Adrià Tauste; Mantini, Dante; Corbetta, Maurizio; Deco, Gustavo; Insabato, Andrea

2020 Network Neuroscience

doi:10.1162/netn_a_00117 pmid:32537531

Neuroimaging techniques are now widely used to study human cognition. The functional associations between brain areas have become a standard proxy to describe how cognitive processes are distributed across the brain network. Among the many analysis tools available, dynamic models of brain...
Open Access

Journal Article

Energy landscape of resting magnetoencephalography reveals fronto-parietal network impairments in epilepsy

Krzemiński, Dominik; Masuda, Naoki; Hamandi, Khalid; Singh, Krish D.; Routley, Bethany; Zhang, Jiaxiang

2020 Network Neuroscience

doi:10.1162/netn_a_00125 pmid:32537532

Juvenile myoclonic epilepsy (JME) is a form of idiopathic generalized epilepsy. It is yet unclear to what extent JME leads to abnormal network activation patterns. Here, we characterized statistical regularities in magnetoencephalograph (MEG) resting-state networks and their differences between...
Open Access

Journal Article

Brain connectivity during Alzheimer’s disease progression and its cognitive impact in a transgenic rat model

Muñoz-Moreno, Emma; Tudela, Raúl; López-Gil, Xavier; Soria, Guadalupe

2020 Network Neuroscience

doi:10.1162/netn_a_00126 pmid:32537533

The research of Alzheimer’s disease (AD) in its early stages and its progression till symptomatic onset is essential to understand the pathology and investigate new treatments. Animal models provide a helpful approach to this research, since they allow for controlled follow-up during the disease...
Open Access

Journal Article

Reducing the influence of intramodular connectivity in participation coefficient

Pedersen, Mangor; Omidvarnia, Amir; Shine, James M.; Jackson, Graeme D.; Zalesky, Andrew

2020 Network Neuroscience

doi:10.1162/netn_a_00127 pmid:32537534

Both natural and engineered networks are often modular. Whether a network node interacts with only nodes from its own module or nodes from multiple modules provides insight into its functional role. The participation coefficient (PC) is typically used to measure this attribute, although its value...
Open Access

Journal Article

Long-range temporal correlations in scale-free neuromorphic networks

Shirai, Shota; Acharya, Susant Kumar; Bose, Saurabh Kumar; Mallinson, Joshua Brian; Galli, Edoardo; Pike, Matthew D.; Arnold, Matthew D.; Brown, Simon Anthony

2020 Network Neuroscience

doi:10.1162/netn_a_00128 pmid:32537535

Biological neuronal networks are the computing engines of the mammalian brain. These networks exhibit structural characteristics such as hierarchical architectures, small-world attributes, and scale-free topologies, providing the basis for the emergence of rich temporal characteristics such as...
Open Access

Journal Article

Brain network constraints and recurrent neural networks reproduce unique trajectories and state transitions seen over the span of minutes in resting-state fMRI

Kashyap, Amrit; Keilholz, Shella

2020 Network Neuroscience

doi:10.1162/netn_a_00129 pmid:32537536

Large-scale patterns of spontaneous whole-brain activity seen in resting-state functional magnetic resonance imaging (rs-fMRI) are in part believed to arise from neural populations interacting through the structural network (Honey, Kötter, Breakspear, & Sporns, 2007). Generative models that...
Open Access

Journal Article

The role of node dynamics in shaping emergent functional connectivity patterns in the brain

Forrester, Michael; Crofts, Jonathan J.; Sotiropoulos, Stamatios N.; Coombes, Stephen; O’Dea, Reuben D.

2020 Network Neuroscience

doi:10.1162/netn_a_00130 pmid:32537537

The contribution of structural connectivity to functional brain states remains poorly understood. We present a mathematical and computational study suited to assess the structure–function issue, treating a system of Jansen–Rit neural mass nodes with heterogeneous structural connections estimated...
Open Access

Journal Article

The sensitivity of network statistics to incomplete electrode sampling on intracranial EEG

Conrad, Erin C.; Bernabei, John M.; Kini, Lohith G.; Shah, Preya; Mikhail, Fadi; Kheder, Ammar; Shinohara, Russell T.; Davis, Kathryn A.; Bassett, Danielle S.; Litt, Brian

2020 Network Neuroscience

doi:10.1162/netn_a_00131 pmid:32537538

Network neuroscience applied to epilepsy holds promise to map pathological networks, localize seizure generators, and inform targeted interventions to control seizures. However, incomplete sampling of the epileptic brain because of sparse placement of intracranial electrodes may affect model...

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