Networks
Connectivity networks (connectomes) available in the ontology.
SmileyNetwork
No description.
EEG Brainstorm 65
65-channel EEG sensor array (Brainstorm default). Positions in mm, Brainstorm coordinate space.
MEG Brainstorm 276
276-channel MEG sensor array (Brainstorm default). Positions and orientations in mm.
SEEG 588 contacts
588-contact stereo-EEG array (TVB default). Intracranial depth electrodes. No precomputed projection — gain is computed analytically.
Simple 3-Node Network Example
Example network with 3 nodes and two different coupling types (excitatory and inhibitory)
EEG standard_1005 fsaverage projection
MNE standard_1005 EEG sensors (MNI, mm) with fsaverage aparc projection gain matrix (sensors x regions).
Schaefer2018_100_7Networks_Hansen2022_SCFC
Schaefer2018 100-parcel 7Networks multi-graph network from Hansen et al. (2022). Contains structural connectivity (SC) from diffusion MRI tractography and functional connectivity (FC) from resting-state fMRI, both derived from the HCP Young Adult cohort. SC edge weights are log-transformed streamline counts normalized to [0, 1]. FC edge weights are Pearson correlations.
Schaefer1000 (dTOR)
No description.
Schaefer2018_1000_17Networks_dTOR
No description.
Schaefer2018_100_17Networks_dTOR
No description.
Schaefer2018_200_17Networks_dTOR
No description.
Schaefer2018_300_17Networks_dTOR
No description.
Schaefer2018_400_17Networks_dTOR
No description.
Schaefer2018_500_17Networks_dTOR
No description.
Schaefer2018_600_17Networks_dTOR
No description.
Schaefer2018_700_17Networks_dTOR
No description.
Schaefer2018_800_17Networks_dTOR
No description.
Schaefer2018_900_17Networks_dTOR
No description.
Schaefer2018_1000_7Networks_dTOR
No description.
Schaefer2018_100_7Networks_dTOR
No description.
Schaefer2018_200_7Networks_dTOR
No description.
Schaefer2018_300_7Networks_dTOR
No description.
Schaefer2018_400_7Networks_dTOR
No description.
Schaefer2018_500_7Networks_dTOR
No description.
Schaefer2018_600_7Networks_dTOR
No description.
Schaefer2018_700_7Networks_dTOR
No description.
Schaefer2018_800_7Networks_dTOR
No description.
Schaefer2018_900_7Networks_dTOR
No description.
Schaefer1000 (MghUscHcp32)
No description.
Schaefer100017Networks (MghUscHcp32)
No description.
Schaefer1000 (PPMI85)
No description.
Schaefer100017Networks (PPMI85)
No description.
HCPMMP1 (avgMatrix SC+FC)
Group-average HCP connectome on the Glasser HCP-MMP1 atlas (360 cortical + 19 subcortical = 379 nodes). SC = average structural connectivity (streamline weights); FC = HCP1200 average resting-state functional connectivity. Node order is canonical L-cortical, R-cortical, L-subcortical, R-subcortical, Brainstem (identical to the rec-dTOR HCPMMP1 network). Node coordinates are fsLR den-32k midthickness parcel centroids (templateflow) for cortex and MNI152 2mm voxel centroids (Glasser dlabel Atlas_ROIs) for subcortex. Per-node HCP-MMP colours stored as the 'color' parameter.
hcpmmp1 (dTOR)
No description.
hcpmmp1ordered (dTOR)
No description.
hcpmmp1 (MghUscHcp32)
No description.
hcpmmp1ordered (MghUscHcp32)
No description.
hcpmmp1 (PPMI85)
No description.
hcpmmp1ordered (PPMI85)
No description.
Lobar8 surface (fsaverage 164k, 327684 vertices)
No description.
Lobar8 LH surface (fsaverage 164k, 163842 vertices)
No description.
Lobar8 RH surface (fsaverage 164k, 163842 vertices)
No description.
DesikanKilliany (dTOR)
No description.
Destrieux (dTOR)
No description.
HCPex (dTOR)
No description.
Lobar8 (dTOR)
No description.
Lobar (dTOR)
No description.
Lobar surface (fsLR 32k, 64984 vertices)
No description.
Yeo17 (dTOR)
No description.
virtualdbs (dTOR)
No description.
DesikanKilliany (MghUscHcp32)
No description.
Destrieux (MghUscHcp32)
No description.
HOCPA (MghUscHcp32)
No description.
Yeo17 (MghUscHcp32)
No description.
virtualdbs (MghUscHcp32)
No description.
DesikanKilliany (PPMI85)
No description.
Destrieux (PPMI85)
No description.
Yeo17 (PPMI85)
No description.
virtualdbs (PPMI85)
No description.
DesikanKilliany (avgMatrix SC+FC)
No description.
Lobar8 (avgMatrix)
No description.
Desikan-Killiany 68 cortical parcels with MEG alpha amplitudes per region
Per-region MEG alpha-band amplitude values aligned with the 68 cortical parcels of the Desikan-Killiany atlas. Sourced from tvb-ontology-optim-workshop/notebooks/data/{lh,rh}_megalpha_parc.csv. The measure exhibits the canonical cortical-hierarchy gradient: - unimodal sensory regions (pericalcarine, cuneus, lateraloccipital, transversetemporal) score high (~0.40) - transmodal regions (rostralanteriorcingulate, frontalpole, temporalpole, medialorbitofrontal) score low (~0.15) Used as a per-region cortical-gradient signal in experiments that need to ground a hierarchy (e.g. reservoir-computing frequency-gradient targets, JR-MEG peak-frequency optimisation). The values are dimensionless normalised amplitudes; downstream consumers rescale to a task-appropriate range (e.g. omega in Hz).
EEG standard_1005 fsaverage projection
MNE standard_1005 EEG sensors (MNI, mm) with fsaverage aparc projection gain matrix (sensors x regions).
No description.
Desikan-Killiany
Structural connectivity from dk_average dataset
No description.
No description.
No description.
No description.
Desikan-Killiany (dk_average)
No description.
No description.
No description.
Desikan-Killiany
Structural connectivity from dk_average dataset
No description.
Desikan-Killiany
Structural connectivity from dk_average dataset
No description.
Single node
Single-region model — stimulus and excitability trade off here.
Desikan-Killiany
Structural connectivity from dk_average dataset
No description.