Traumatic brain injury: progress and challenges in prevention, clinical care, and research

AIR Maas, DK Menon, GT Manley, M Abrams… - The Lancet …, 2022 - thelancet.com
Executive summary Traumatic brain injury (TBI) has the highest incidence of all common
neurological disorders, and poses a substantial public health burden. TBI is increasingly …

Phenoty** the spectrum of traumatic brain injury: a review and pathway to standardization

MJ Pugh, E Kennedy, EM Prager… - Journal of …, 2021 - liebertpub.com
It is widely appreciated that the spectrum of traumatic brain injury (TBI), mild through severe,
contains distinct clinical presentations, variably referred to as subtypes, phenotypes, and/or …

Therapies to restore consciousness in patients with severe brain injuries: a gap analysis and future directions

BL Edlow, LRD Sanz, L Polizzotto, N Pouratian… - Neurocritical care, 2021 - Springer
Abstract Background/Objective For patients with disorders of consciousness (DoC) and their
families, the search for new therapies has been a source of hope and frustration. Almost all …

Alzheimer's Disease-Related Dementias Summit 2022: national research priorities for the investigation of post-traumatic brain injury Alzheimer's disease and related …

K Dams-O'Connor, HO Awwad, S Hoffman… - Journal of …, 2023 - liebertpub.com
Traumatic Brain Injury (TBI) is a risk factor for Alzheimer's disease and Alzheimer's disease
related dementias (AD/ADRD) and otherwise classified post-traumatic neurodegeneration …

DeepPrep: an accelerated, scalable and robust pipeline for neuroimaging preprocessing empowered by deep learning

J Ren, N An, C Lin, Y Zhang, Z Sun, W Zhang, S Li… - Nature …, 2025 - nature.com
Neuroimaging has entered the era of big data. However, the advancement of preprocessing
pipelines falls behind the rapid expansion of data volume, causing substantial …

[HTML][HTML] ENIGMA's simple seven: Recommendations to enhance the reproducibility of resting-state fMRI in traumatic brain injury

K Caeyenberghs, P Imms, A Irimia, MM Monti… - NeuroImage: Clinical, 2024 - Elsevier
Resting state functional magnetic resonance imaging (rsfMRI) provides researchers and
clinicians with a powerful tool to examine functional connectivity across large-scale brain …

MRI in disorders of consciousness

SB Snider, BL Edlow - Current opinion in neurology, 2020 - journals.lww.com
Structural and functional MRI will continue to advance our understanding of brain regions
supporting human consciousness. Measures of regional and global white matter integrity …

[HTML][HTML] Improving quantitative susceptibility map** for the identification of traumatic brain injury neurodegeneration at the individual level

A Stewart, A Burmester, H Akhlaghi, K O'Brien… - … für Medizinische Physik, 2024 - Elsevier
Background Emerging evidence suggests that traumatic brain injury (TBI) is a major risk
factor for develo** neurodegenerative disease later in life. Quantitative susceptibility …

Convolutional neural networks enable robust automatic segmentation of the rat hippocampus in mri after traumatic brain injury

R De Feo, E Hämäläinen, E Manninen… - Frontiers in …, 2022 - frontiersin.org
Registration-based methods are commonly used in the automatic segmentation of magnetic
resonance (MR) brain images. However, these methods are not robust to the presence of …

[HTML][HTML] The Nano and Artificial Intelligence Effect: Improved Magnetic Resonance Imaging Volumetry for Multiple Sclerosis

AF Nahhas, AF Nahhas, TJ Webster - OpenNano, 2024 - Elsevier
Abstract Magnetic Resonance Imaging (MRI) is a widely established method for monitoring
and diagnosing neurological diseases, including multiple sclerosis (MS). MS is a disease …