Tag:

machine learning

Traumatic brain injury
Mapping HRV in sports science: from monitoring to machine learning

by myneuronews January 28, 2026

by myneuronews January 28, 2026

Importance of HRV in Sports Science Heart Rate Variability (HRV) is a critical metric in …

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Traumatic brain injury
Biomarkers and clinical rules for the management of mild traumatic brain injury: a narrative review

by myneuronews January 24, 2026

by myneuronews January 24, 2026

Biomarkers in Mild Traumatic Brain Injury Biomarkers play a crucial role in the understanding and …

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Functional neurological disorders
Hybrid deep learning models for fake news detection: case study on Arabic and English languages

by myneuronews January 22, 2026

by myneuronews January 22, 2026

Study Overview This study investigates the effectiveness of hybrid deep learning models in detecting fake …

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Functional neurological disorders
The role of surveillance MRI scans in patients with sporadic cerebral cavernous malformations

by myneuronews January 22, 2026

by myneuronews January 22, 2026

Role of Surveillance MRI Surveillance MRI plays a pivotal role in the management of patients …

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Functional neurological disorders
Hybrid deep learning models for fake news detection: case study on Arabic and English languages

by myneuronews January 22, 2026

by myneuronews January 22, 2026

Study Overview The investigation focuses on the development and evaluation of hybrid deep learning models …

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Functional neurological disorders
The role of surveillance MRI scans in patients with sporadic cerebral cavernous malformations

by myneuronews January 22, 2026

by myneuronews January 22, 2026

Background on Cerebral Cavernous Malformations Cerebral cavernous malformations (CCMs) are vascular anomalies characterized by clusters …

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Functional neurological disorders
Hybrid deep learning models for fake news detection: case study on Arabic and English languages

by myneuronews January 22, 2026

by myneuronews January 22, 2026

Study Overview This research examines the effectiveness of hybrid deep learning models in identifying fake …

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Functional neurological disorders
Hybrid deep learning models for fake news detection: case study on Arabic and English languages

by myneuronews January 22, 2026

by myneuronews January 22, 2026

Study Overview The research focuses on the increasing challenge posed by fake news in the …

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Functional neurological disorders
Natural product extracts for ischemic stroke: a methodological evaluation and meta-epidemiological analysis

by myneuronews January 21, 2026

by myneuronews January 21, 2026

Research Context The exploration of natural product extracts as potential therapeutic agents for ischemic stroke …

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Dementia
Brain and circulating EV proteome signatures in schizophrenia as prognostic markers for age-related dementia

by myneuronews January 21, 2026

by myneuronews January 21, 2026

Prognostic Value of EV Proteome in Schizophrenia The examination of extracellular vesicles (EVs) in schizophrenia …

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Beyond the Concussion: Cerebral Venous Thrombosis Following Mild-to-Moderate Traumatic Brain Injury
Cerebral venous sinus thrombosis (CVST) accounts for a small proportion of strokes. Still, it carries meaningful clinical impact, classically linked to systemic prothrombotic conditions, hormonal influences, and severe traumatic brain injury (TBI). However, with advances in neuroimaging, it's now evident that trauma-related CVST (tCVST) can also complicate mild to moderate head injuries even in the […]
Network co-activation relates to executive function following pediatric traumatic brain injury
CONCLUSIONS: Findings illustrate the implications of disrupted downregulation of the default mode network by the SN following pediatric brain injury. They also demonstrate how disruption in functional connectivity may underlie poor executive function after childhood traumatic brain injury.
Monitoring the lateral ventricles in the presence of intracranial hemorrhage using automated dual segmentation
CONCLUSIONS: Automated dual segmentation of lateral ventricles and ICH using deep learning provides a reliable method to monitor TBI severity over time. The approach yielded clinically relevant information, including ICH and lateral ventricle volume changes across sessions. This approach offers an efficient analysis of CT images in ICH and particularly patients that develop IVH.
Quality of Life, Self-Reported Cognitive Difficulties, and Performance-Based Cognitive Problems in Multiple Sclerosis: What's Sleep Got to Do With It?
CONCLUSIONS: Poor sleep quality was not associated with performance-based cognitive functioning but was associated with greater self-reported cognitive difficulties. After accounting for disease progression, depression, and fatigue, poor sleep quality was significantly predictive of both Symptoms and Fatigue QoL.
Parent and Child Agreement of Brain Injury Perceptions Following Pediatric Concussion
CONCLUSIONS: Parent-child agreement regarding brain injury perceptions following a pediatric concussion was low (13%), reflecting the importance of assessing and then addressing parent and child perceptions individually in pediatric concussion management.