Network diffusion modeling predicts neurodegeneration in traumatic brain injury.
Govinda R PoudelJuan F Dominguez DHelena VerhelstCatharine Vander LindenKarel DeblaereDerek K JonesEster CerinGuy VingerhoetsKaren CaeyenberghsPublished in: Annals of clinical and translational neurology (2020)
These findings suggest that network spread may help explain patterns of distant gray matter thinning, which would be consistent with Wallerian degeneration of the white matter connections (i.e., "diaschisis") from diffuse axonal injuries and multifocal contusive injuries, and the neurodegenerative patterns of abnormal protein aggregation and transmission, which are hallmarks of brain changes in TBI. NDM approaches could provide highly subject-specific biomarkers relevant for disease monitoring and personalized therapies in TBI.
Keyphrases
- traumatic brain injury
- white matter
- severe traumatic brain injury
- multiple sclerosis
- spinal cord injury
- lymph node
- low grade
- resting state
- klebsiella pneumoniae
- amino acid
- mild traumatic brain injury
- protein protein
- binding protein
- functional connectivity
- network analysis
- multidrug resistant
- subarachnoid hemorrhage