Emotion dysregulation following trauma: Shared neurocircuitry of traumatic brain injury and trauma-related psychiatric disorders

CN Weis, EK Webb, TA deRoon-Cassini, CL Larson - Biological psychiatry, 2022 - Elsevier
The psychological trauma associated with events resulting in traumatic brain injury (TBI) is
an important and frequently overlooked factor that may impede brain recovery and worsen …

Non-invasive systems application in traumatic brain injury rehabilitation

LL Popa, D Chira, Ș Strilciuc, DF Mureșanu - Brain sciences, 2023 - mdpi.com
Traumatic brain injury (TBI) is a significant public health concern, often leading to long-
lasting impairments in cognitive, motor and sensory functions. The rapid development of non …

[HTML][HTML] A swine model of traumatic brain injury: effects of neuronally generated electromagnetic fields and electromagnetic field stimulation on traumatic brain injury …

J Brazdzionis, MM Radwan, F Thankam, MR Lal… - Cureus, 2023 - ncbi.nlm.nih.gov
Methods A singular Yucatan miniswine was obtained and baseline EMF recordings were
obtained. A CCI of TBI and postoperative assessment of cortical EMF in a non-invasive, non …

Imaging biomarkers of posttraumatic epileptogenesis

R Garner, M La Rocca, P Vespa, N Jones, MM Monti… - …, 2019 - Wiley Online Library
Traumatic brain injury (TBI) affects 2.5 million people annually within the United States
alone, with over 300 000 severe injuries resulting in emergency room visits and hospital …

Machine learning algorithms and quantitative electroencephalography predictors for outcome prediction in traumatic brain injury: A systematic review

NSEM Noor, H Ibrahim - IEEE Access, 2020 - ieeexplore.ieee.org
Recent developments in the field of machine learning (ML) have led to a renewed interest in
the use of electroencephalography (EEG) to predict the outcome after traumatic brain injury …

Resting-state functional connectome in patients with brain tumors before and after surgical resection

G Sparacia, G Parla, VL Re, R Cannella, G Mamone… - World Neurosurgery, 2020 - Elsevier
Purpose High-grade glioma surgery has evolved around the principal belief that a safe
maximal tumor resection improves symptoms, quality of life, and survival. Mapping brain …

[HTML][HTML] Convolutional neural networks for traumatic brain injury classification and outcome prediction

L Zinnel, SA Bentil - Health Sciences Review, 2023 - Elsevier
The detection and classification of traumatic brain injury (TBI) by medical professionals can
vary due to subjectivity and differences in experience. Thus, a computational approach for …

Resting-state functional magnetic resonance imaging for surgical neuro-oncology planning: Towards a standardization in clinical settings

G Sparacia, G Parla, G Mamone, M Caruso… - Brain Sciences, 2021 - mdpi.com
Resting-state functional magnetic resonance imaging (rest-f-MRI) is a neuroimaging
technique that has demonstrated its potential in providing new insights into brain physiology …

Identification of chronic mild traumatic brain injury using resting state functional MRI and machine learning techniques

F Vedaei, N Mashhadi, G Zabrecky, D Monti… - Frontiers in …, 2023 - frontiersin.org
Mild traumatic brain injury (mTBI) is a major public health concern that can result in a broad
spectrum of short-term and long-term symptoms. Recently, machine learning (ML) …

[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 …