Publications by authors named "P Vespa"
Objective: To investigate hippocampal volume changes in moderate to severe traumatic brain injury (TBI) patients compared to healthy controls and assess their association with post-traumatic epilepsy (PTE), focusing on age-related effects.
Methods: Imaging and demographic data for TBI patients were obtained from the Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx) database; healthy controls matched by age and sex were sourced from Alzheimer's Disease Neuroimaging Initiative (ADNI), the National Institute of Mental Health (NIMH) Intramural Healthy Volunteer Dataset, the Parkinson's Progression Markers Initiative (PPMI), and the Autism Brain Imaging Data Exchange (ABIDE). MRI images for TBI subjects were obtained within 14-32 days post-injury.
Article Synopsis
- Cerebral vasospasm is a serious complication following traumatic brain injury (TBI) that can worsen neurological damage, but its risk factors and natural progression are not well understood.
- This study evaluated various clinical (like age, sex, and need for surgery) and radiographic characteristics (such as types of brain hemorrhage) in TBI patients undergoing cerebral angiograms for posttraumatic vascular complications between 2017 and 2019.
- The findings highlighted that all patients had subarachnoid hemorrhage (SAH) and that vasospasm typically occurred 3 to 19 days after the initial trauma, with more severe cases seen in patients with cisternal SAH; however, there was not a clear link between
Understanding the neural signatures of consciousness and the mechanisms underlying its disorders, such as coma and unresponsive wakefulness syndrome, remains a critical challenge in neuroscience. In this study, we present a novel computational approach for the in silico discovery of neural correlates of consciousness, the mechanisms driving its disorders, and potential treatment strategies. Inspired by generative adversarial networks, which have driven recent advancements in generative artificial intelligence (AI), we trained deep neural networks to detect consciousness across multiple brain areas and species, including humans.
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- * Existing research primarily focuses on observational studies, revealing heterogeneity in study designs and outcomes, which complicates evidence synthesis and comparison.
- * The Neurocritical Care Society's Curing Coma Campaign is working to improve future research through coordinated observational studies and clinical trials to better understand and treat these disorders.