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@netzschleuder@social.skewed.de
2025-07-18 16:00:04

budapest_connectome: Budapest Reference Connectome 3.0
A parameterizable consensus brain graph, derived from connectomes of 477 people, each computed from MRI datasets of the Human Connectome Project. Nodes are brain regions, and edges are weighted by the number of "tracks" that run between two nodes, as well as fiber length, fractional anisotropy and the number of occurrences in each of the 477 individuals.
This network has 1015 nodes and 121755 edges.
Tags: Biol…

budapest_connectome: Budapest Reference Connectome 3.0. 1015 nodes, 121755 edges. https://networks.skewed.de/net/budapest_connectome#all_1m

budapest_connectome — Budapest Reference Connectome 3.0
A parameterizable consensus brain graph, derived from connectomes of 477 people, each computed from MRI datasets of the Human Connectome Project. Nodes are brain regions, and edges are weighted by the number of "tracks" that run between two nodes, as well as fiber length, fractional anisotropy and the number of occurrences in each of the 477 individuals.

@netzschleuder@social.skewed.de
2025-08-09 15:00:05

budapest_connectome: Budapest Reference Connectome 3.0
A parameterizable consensus brain graph, derived from connectomes of 477 people, each computed from MRI datasets of the Human Connectome Project. Nodes are brain regions, and edges are weighted by the number of "tracks" that run between two nodes, as well as fiber length, fractional anisotropy and the number of occurrences in each of the 477 individuals.
This network has 1015 nodes and 105293 edges.
Tags: Biol…

budapest_connectome: Budapest Reference Connectome 3.0. 1015 nodes, 105293 edges. https://networks.skewed.de/net/budapest_connectome#all_200k

budapest_connectome — Budapest Reference Connectome 3.0
A parameterizable consensus brain graph, derived from connectomes of 477 people, each computed from MRI datasets of the Human Connectome Project. Nodes are brain regions, and edges are weighted by the number of "tracks" that run between two nodes, as well as fiber length, fractional anisotropy and the number of occurrences in each of the 477 individuals.

@arXiv_nlinPS_bot@mastoxiv.page
2025-07-11 08:57:11

Multiscale phase oscillations induced by cluster synchronisation in human connectome core network
Bosiljka Tadic, Marija Mitrovic Dankulov, Roderick Melnik
arxiv.org/abs/2507.07583

Multiscale phase oscillations induced by cluster synchronisation in human connectome core network
Brain imaging data mapping onto human connectome networks enables the investigation of global brain dynamics, where the brain hubs play an essential role in transferring activity between different brain parts. At this scale, the synchronisation processes are increasingly investigated as one of the key mechanisms revealing many aspects of brain functional coherence in healthy brains and revealing deviations due to various brain disorders. For the human connectome core network, consisting of the …

@netzschleuder@social.skewed.de
2025-09-06 22:00:04

budapest_connectome: Budapest Reference Connectome 3.0
A parameterizable consensus brain graph, derived from connectomes of 477 people, each computed from MRI datasets of the Human Connectome Project. Nodes are brain regions, and edges are weighted by the number of "tracks" that run between two nodes, as well as fiber length, fractional anisotropy and the number of occurrences in each of the 477 individuals.
This network has 1015 nodes and 112890 edges.
Tags: Biol…

budapest_connectome: Budapest Reference Connectome 3.0. 1015 nodes, 112890 edges. https://networks.skewed.de/net/budapest_connectome#female_1m

budapest_connectome — Budapest Reference Connectome 3.0
A parameterizable consensus brain graph, derived from connectomes of 477 people, each computed from MRI datasets of the Human Connectome Project. Nodes are brain regions, and edges are weighted by the number of "tracks" that run between two nodes, as well as fiber length, fractional anisotropy and the number of occurrences in each of the 477 individuals.

@netzschleuder@social.skewed.de
2025-08-05 00:00:05

budapest_connectome: Budapest Reference Connectome 3.0
A parameterizable consensus brain graph, derived from connectomes of 477 people, each computed from MRI datasets of the Human Connectome Project. Nodes are brain regions, and edges are weighted by the number of "tracks" that run between two nodes, as well as fiber length, fractional anisotropy and the number of occurrences in each of the 477 individuals.
This network has 1015 nodes and 93708 edges.
Tags: Biolo…

budapest_connectome: Budapest Reference Connectome 3.0. 1015 nodes, 93708 edges. https://networks.skewed.de/net/budapest_connectome#male_1m

budapest_connectome — Budapest Reference Connectome 3.0
A parameterizable consensus brain graph, derived from connectomes of 477 people, each computed from MRI datasets of the Human Connectome Project. Nodes are brain regions, and edges are weighted by the number of "tracks" that run between two nodes, as well as fiber length, fractional anisotropy and the number of occurrences in each of the 477 individuals.

@arXiv_physicsmedph_bot@mastoxiv.page
2025-09-09 09:27:22

Assessment of 7T task fMRI value over 3T task fMRI
Dalton H Bermudez
arxiv.org/abs/2509.05873 arxiv.org/pdf/2509.05873

Assessment of 7T task fMRI value over 3T task fMRI
Ultra-high field 7T fMRI offers notable advantages over 3T fMRI, including higher signal-to-noise and contrast-to-noise ratios, enabling finer spatial and temporal resolution. This study explores the differences in activation maps from Human Connectome Project datasets between 7T and 3T field strengths, focusing on visual identified using the Glasser atlas. Functional tasks for each scanner were designed to include visual stimuli, with data processed uniformly to ensure comparability. Results s…