AIMC Topic: Brain Concussion
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NMDA Receptor Alterations After Mild Traumatic Brain Injury Induce Deficits in Memory Acquisition and Recall.
Neural computation
Nov 30, 2020
Mild traumatic brain injury (mTBI) presents a significant health concern with potential persisting deficits that can last decades. Although a growing body of literature improves our understanding of the brain network response and corresponding underl...
Detection of Moderate Traumatic Brain Injury from Resting-State Eye-Closed Electroencephalography.
Computational intelligence and neuroscience
Mar 11, 2020
Traumatic brain injury (TBI) is one of the injuries that can bring serious consequences if medical attention has been delayed. Commonly, analysis of computed tomography (CT) or magnetic resonance imaging (MRI) is required to determine the severity of...
Artificial intelligence for understanding concussion: Retrospective cluster analysis on the balance and vestibular diagnostic data of concussion patients.
PloS one
Apr 2, 2019
OBJECTIVES: We propose a bottom-up, machine-learning approach, for the objective vestibular and balance diagnostic data of concussion patients, to provide insight into the differences in patients' phenotypes, independent of existing diagnoses (unsupe...
Vision Disorders
Postural Balance
Headache
Neuropsychological Tests
Male
Diagnosis, Computer-Assisted
Adolescent
Cluster Analysis
Post-Concussion Syndrome
Vestibule, Labyrinth
Sports
Brain Concussion
Dizziness
Vestibular Diseases
Humans
Artificial Intelligence
Retrospective Studies
Female
Young Adult
Adult
MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features.
IEEE transactions on medical imaging
Mar 18, 2019
In this paper, we propose bag of adversarial features (BAFs) for identifying mild traumatic brain injury (MTBI) patients from their diffusion magnetic resonance images (MRIs) (obtained within one month of injury) by incorporating unsupervised feature...
Robotic Assessment of Motor, Sensory, and Cognitive Function in Acute Sport-Related Concussion and Recovery.
Journal of neurotrauma
Sep 27, 2018
There is a need for better tools to objectively, reliably, and precisely assess neurological function after sport-related concussion (SRC). The aim of this study was to use a robotic device (Kinesiological Instrument for Normal and Altered Reaching M...
Concussion classification via deep learning using whole-brain white matter fiber strains.
PloS one
May 24, 2018
Developing an accurate and reliable injury predictor is central to the biomechanical studies of traumatic brain injury. State-of-the-art efforts continue to rely on empirical, scalar metrics based on kinematics or model-estimated tissue responses exp...
Test-retest reliability of the KINARM end-point robot for assessment of sensory, motor and neurocognitive function in young adult athletes.
PloS one
Apr 24, 2018
BACKGROUND: Current assessment tools for sport-related concussion are limited by a reliance on subjective interpretation and patient symptom reporting. Robotic assessments may provide more objective and precise measures of neurological function than ...
Dynamic functional network connectivity discriminates mild traumatic brain injury through machine learning.
NeuroImage. Clinical
Mar 15, 2018
Mild traumatic brain injury (mTBI) can result in symptoms that affect a person's cognitive and social abilities. Improvements in diagnostic methodologies are necessary given that current clinical techniques have limited accuracy and are solely based ...
Defining a multimodal signature of remote sports concussions.
The European journal of neuroscience
May 16, 2017
Sports-related concussions lead to persistent anomalies of the brain structure and function that interact with the effects of normal ageing. Although post-mortem investigations have proposed a bio-signature of remote concussions, there is still no cl...
Detection of Mild Traumatic Brain Injury by Machine Learning Classification Using Resting State Functional Network Connectivity and Fractional Anisotropy.
Journal of neurotrauma
Nov 21, 2016
Traumatic brain injury (TBI) may adversely affect a person's thinking, memory, personality, and behavior. While mild TBI (mTBI) diagnosis is challenging, there is a risk for long-term psychiatric, neurologic, and psychosocial problems in some patient...
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