Functional Integration of Large-Scale Brain Networks

AbstractThe brain’s structural connectivity plays a fundamental role in determining how neuron networks generate, process, and transfer information within and between brain regions. The underlying mechanisms are extremely difficult to study experimentally and, in many cases, large-scale model networks are of great help. However, the implementation of these models relies on experimental findings that are often sparse and limited. Their predicting power ultimately depends on how closely a model’s connectivity represents the real system. Here we argue that the data-driven probabilistic rules, widely used to build neuronal network models, may not be appropriate to represent the dynamics of the corresponding biological system. To solve this problem, we propose to use a new mathematical framework able to use sparse and limited experimental data to quantitatively reproduce the structural connectivity of biological brain networks at cellular level.

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Reconfiguration of human evolving large-scale epileptic brain networks prior to seizures: an evaluation with node centralities

Scientific Reports ◽

10.1038/s41598-020-78899-7 ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Rieke Fruengel ◽

Timo Bröhl ◽

Thorsten Rings ◽

Klaus Lehnertz

Keyword(s):

Large Scale ◽

Brain Networks ◽

Brain Regions ◽

Brain Network ◽

Theoretical Concept ◽

Global Network ◽

Time Resolved ◽

Functional Connections ◽

Node Centrality ◽

Network Mechanism

AbstractPrevious research has indicated that temporal changes of centrality of specific nodes in human evolving large-scale epileptic brain networks carry information predictive of impending seizures. Centrality is a fundamental network-theoretical concept that allows one to assess the role a node plays in a network. This concept allows for various interpretations, which is reflected in a number of centrality indices. Here we aim to achieve a more general understanding of local and global network reconfigurations during the pre-seizure period as indicated by changes of different node centrality indices. To this end, we investigate—in a time-resolved manner—evolving large-scale epileptic brain networks that we derived from multi-day, multi-electrode intracranial electroencephalograpic recordings from a large but inhomogeneous group of subjects with pharmacoresistant epilepsies with different anatomical origins. We estimate multiple centrality indices to assess the various roles the nodes play while the networks transit from the seizure-free to the pre-seizure period. Our findings allow us to formulate several major scenarios for the reconfiguration of an evolving epileptic brain network prior to seizures, which indicate that there is likely not a single network mechanism underlying seizure generation. Rather, local and global aspects of the pre-seizure network reconfiguration affect virtually all network constituents, from the various brain regions to the functional connections between them.

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Static and dynamic functional connectivity supports the configuration of brain networks associated with creative cognition

Scientific Reports ◽

10.1038/s41598-020-80293-2 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Abhishek Uday Patil ◽

Sejal Ghate ◽

Deepa Madathil ◽

Ovid J. L. Tzeng ◽

Hsu-Wen Huang ◽

...

Keyword(s):

Cognitive Processes ◽

Large Scale ◽

Brain Networks ◽

Blood Oxygen Level Dependent ◽

Detection Algorithm ◽

Brain Regions ◽

Creative Cognition ◽

Network Flexibility ◽

Community Detection Algorithm ◽

Window Approach

AbstractCreative cognition is recognized to involve the integration of multiple spontaneous cognitive processes and is manifested as complex networks within and between the distributed brain regions. We propose that the processing of creative cognition involves the static and dynamic re-configuration of brain networks associated with complex cognitive processes. We applied the sliding-window approach followed by a community detection algorithm and novel measures of network flexibility on the blood-oxygen level dependent (BOLD) signal of 8 major functional brain networks to reveal static and dynamic alterations in the network reconfiguration during creative cognition using functional magnetic resonance imaging (fMRI). Our results demonstrate the temporal connectivity of the dynamic large-scale creative networks between default mode network (DMN), salience network, and cerebellar network during creative cognition, and advance our understanding of the network neuroscience of creative cognition.

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Modelling and prediction of the dynamic responses of large-scale brain networks during direct electrical stimulation

Nature Biomedical Engineering ◽

10.1038/s41551-020-00666-w ◽

2021 ◽

Author(s):

Yuxiao Yang ◽

Shaoyu Qiao ◽

Omid G. Sani ◽

J. Isaac Sedillo ◽

Breonna Ferrentino ◽

...

Keyword(s):

Electrical Stimulation ◽

Large Scale ◽

Brain Networks ◽

Dynamic Responses ◽

Direct Electrical Stimulation

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Interactions Between Large-Scale Functional Brain Networks are Captured by Sparse Coupled HMMs

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2017.2755369 ◽

2018 ◽

Vol 37 (1) ◽

pp. 230-240 ◽

Cited By ~ 19

Author(s):

Thomas A. W. Bolton ◽

Anjali Tarun ◽

Virginie Sterpenich ◽

Sophie Schwartz ◽

Dimitri Van De Ville

Keyword(s):

Large Scale ◽

Brain Networks ◽

Functional Brain ◽

Functional Brain Networks

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