Results 201 to 210 of about 64,126 (335)
Relating resting-state fMRI and EEG whole-brain connectomes across frequency bands [PDF]
Fani Deligianni+3 more
openalex +1 more source
A deep connectome learning network using graph convolution for connectome-disease association study
Yanwu Yang, Chenfei Ye, H. T. Ma
semanticscholar +1 more source
S‐GMAS: Genome‐Wide Mediation Analysis With Brain Subcortical Shape Mediators
Using the ADNI Corpus Callosum (CC) shape data, we proposed a genome‐wide mediation analysis framework involving high‐dimensional genetic exposures and shape mediators and successfully identified distinct genetic‐to‐clinical outcome pathways mediated through the CC in Alzheimer's Disease, revealing varying spatial causal effect patterns for different ...
Shengxian Ding+7 more
wiley +1 more source
A predictive model of the cat cortical connectome based on cytoarchitecture and distance [PDF]
Sarah F. Beul+2 more
openalex +1 more source
The human connectome in Alzheimer disease — relationship to biomarkers and genetics
Meichen Yu, O. Sporns, A. Saykin
semanticscholar +1 more source
The cerebellum, once primarily associated with motor functions, has emerged as a critical component in higher cognitive processes and emotional regulation. This paradigm shift frames the cerebellum as an essential focal point for elucidating sophisticated functional brain circuitry.
openaire +2 more sources
This study is a comprehensive examination of the genetics of cerebellar structure and its cognitive correlates using genetically‐informative Human Connectome Project data and structural equation modeling. Individual differences in most cerebellar subregions are dominated by genetic variation.
Gretchen Lutz+4 more
wiley +1 more source
Best of both worlds: promise of combining brain stimulation and brain connectome [PDF]
Caroline Di Bernardi Luft+3 more
openalex +1 more source
Functionally Adaptive Structural Basis Sets of the Brain: A Dynamic Fusion Approach
The dynamic fusion of multimodal neuroimaging data is a method for studying time‐varying structure–function coupling in the brain. We show evidence of brain organization along a spectrum of highly static to highly dynamic structure–function coupling, which largely falls along unimodal/transmodal hierarchical lines.
Marlena Duda+9 more
wiley +1 more source