Traditional neuroimaging methods have identified alterations in brain activity patterns following mild traumatic brain injury (mTBI), particularly during rest, complex tasks, and normal vision. However, studies using graph theory to examine brain network changes in mTBI have produced varied results, influenced by the specific networks and task demands analyzed. In our study, we employed functional MRI to observe 17 mTBI patients and 54 healthy individuals as they viewed a simple, non-narrative underwater film, simulating everyday visual tasks. This approach revealed significant mTBI-related changes in network connectivity, efficiency, and organization. Specifically, the mTBI group exhibited higher overall connectivity and local network specialization, suggesting enhanced information integration without overwhelming the brain's processing capabilities. Conversely, these patients showed reduced network segregation, indicating a less compartmentalized brain function compared to healthy controls. These patterns were consistent across various visual cortex subnetworks, except in primary visual areas. Our findings highlight the potential of using naturalistic stimuli in graph-based neuroimaging to understand brain network alterations in mTBI and possibly other conditions affecting brain integration.
Keyphrases
- mild traumatic brain injury
- resting state
- white matter
- functional connectivity
- end stage renal disease
- newly diagnosed
- chronic kidney disease
- prognostic factors
- multiple sclerosis
- magnetic resonance imaging
- cerebral ischemia
- working memory
- risk assessment
- convolutional neural network
- computed tomography
- magnetic resonance
- gold nanoparticles
- single cell
- patient reported outcomes
- climate change
- diffusion weighted imaging
- health information