Tag:

machine learning

Dementia
Real-world diagnostic performance of blood-based biomarkers for Alzheimer’s disease: robust performance except after stroke and high charlson comorbidity index

by myneuronews February 6, 2026

by myneuronews February 6, 2026

Diagnostic Performance of Blood-Based Biomarkers Blood-based biomarkers have gained attention for their potential utility in …

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Functional neurological disorders
Beyond video-EEG: identifying functional/dissociative seizures through clinical assessment

by myneuronews February 4, 2026

by myneuronews February 4, 2026

Study Overview The research delves into the complex and often challenging domain of functional and …

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Traumatic brain injury
Completion of massive open online course improved knowledge about traumatic brain injury globally

by myneuronews February 3, 2026

by myneuronews February 3, 2026

Global Impact of Online Learning The expansion of online learning platforms has transformed education on …

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Functional neurological disorders
Using natural language processing to explore differences in healthcare professionals’ language on Functional Neurological Disorder: a comparative topic and sentiment analysis study

by myneuronews February 2, 2026

by myneuronews February 2, 2026

Study Overview This research investigates the language used by healthcare professionals when discussing Functional Neurological …

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Traumatic brain injury
Cognitive impairment and altered structural connectivity after mild traumatic brain injury: A longitudinal study based on generalized q-sampling imaging

by myneuronews February 1, 2026

by myneuronews February 1, 2026

Cognitive Impairment Assessment The assessment of cognitive impairment following mild traumatic brain injury (mTBI) is …

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Traumatic brain injury
Wearable technology to characterize and treat mild traumatic brain injury subtypes: Study protocol for a randomized controlled trial on biofeedback-based precision rehabilitation (SuBTyPE)

by myneuronews January 30, 2026

by myneuronews January 30, 2026

Intervention Design The study implements a structured intervention protocol aimed at enhancing recovery in individuals …

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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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Evaluation of sport-related concussion factors at baseline in a cohort of collegiate rugby union players
Sport-related concussion (SRC) is a growing concern in Rugby Union (RU) and SRC's relationship to intrinsic and extrinsic factors is unknown. A descriptive cross-sectional design was used to describe the relationship between these factors in collegiate RU players. Intrinsic and extrinsic factors included: age, weight, height, position of play (POP), previous SRCs, previous neck injuries; […]
Electroencephalographic findings and 5-year risk of posttraumatic epilepsy after mild traumatic brain injury: Insights from Second Karabakh War veterans
OBJECTIVE: This study aimed to investigate the long-term risk of posttraumatic epilepsy (PTE) and psychogenic nonepileptic seizures (PNES) following mild traumatic brain injury (mTBI) in combat veterans and to evaluate the predictive value of early electroencephalographic (EEG) abnormalities and the impact of trauma mechanism (blast vs. nonblast).
An Exploratory Analysis and Comparison of Post-Concussion Symptom Networks in Young Adults with and without a Remote History of Concussion
CONCLUSIONS: The variability in symptom presentations demonstrates the utility of within-person network models to match individuals to rehabilitation plans that best reflect their ongoing symptom experience over time. Future research should replicate this statistical approach in acutely injured, treatment-seeking individuals following concussion to determine if patterns of sleep impairments are truly specific to post-concussion presentations.
Validation of embedded PCL-5 symptom validity indices in active-duty military population
CONCLUSION: These findings provide support for the cross-validation of all three embedded symptom validity indices at the identified cutoff scores as PCL-5 over-report measures within an active-duty sample. The PSS and PES demonstrated superior classification statistics, as the PRI was hampered by lower sensitivity.
Depressive Symptoms in Concussed Youth Athletes: Factor Analysis of the Patient Health Questionnaire Modified for Adolescents (PHQ-A)
The presentation of depression symptoms in concussed youth athletes is not well understood. We examined the PHQ-A factor structure in concussed youth athletes. Five hundred and ninety-five youth athletes completed the PHQ-A and PCSS within 30 days of sport-related concussion. Factor analyses of the PHQ-A alone revealed a two-factor structure: cognitive-energy/sleep and emotional symptoms. When […]