Individual variability in the human connectome maintains selective cross-modal consistency and shares microstructural signatures
Karahan, E.; Tait, L.; Si, R.; Ozkan, A.; Szul, M.; Zhang, J.
Show abstract
Individuals are different in their behavioural responses and cognitive abilities. Neural underpinnings of individual differences are largely unknown. Here, by using multimodal imaging data including diffusion MRI, functional MRI and MEG, we show the consistency of interindividual variation of connectivity across modalities. We demonstrated that regional differences in individual variability of structural and functional connectomes is characterized by higher variability in association cortices and lower variability in sensory and visual cortices. This pattern is consistent across all modalities at varying degrees as shown by significant alignment between functional and structural connectome variabilities at several clusters of brain regions. Variability in connectivity is associated with cortical myelin content and microstructural properties of connections. Our findings contribute to understanding of individual differences in functional and structural organization of brain and facilitate fingerprinting applications.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Distance-dependent distribution thresholding in probabilistic tractography 97%
- Mapping activity and functional organisation of the motor and visual pathways using ADC-fMRI in the human brain 96%
- Voxel-wise Intermodal Coupling Analysis of Two or More Modalities using Local Covariance Decomposition 95%
Similar papers in this journal
- Neurite density but not myelination of specific fiber tracts links polygenic scores to general intelligence 95%
- Individual variability in functional organization of the human and monkey auditory cortex 94%
- Structural brain architectures match intrinsic functional networks and vary across domains: A study from 15000+ individuals 94%
Similar papers in this journal
- Phase-locking of resting-state brain networks with the gastric basal electrical rhythm 96%
- Sub-millimetre resolution laminar fMRI using Arterial Spin Labelling in humans at 7T 95%
- Dynamic up- and down-regulation of the default (DMN) and extrinsic (EMN) mode networks during alternating task-on and task-off periods 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.