15 results for "Nathan Intrator"
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Journal Article
Single-Channel EEG Features Reveal an Association With Cognitive Decline in Seniors Performing Auditory Cognitive Assessment
BackgroundCognitive decline remains highly underdiagnosed despite efforts to find novel cognitive biomarkers. Electroencephalography (EEG) features based on machine-learning (ML) may offer a non-invasive, low-cost approach for identifying cognitive decline. However, most studies use cumbersome…
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Journal Article
Evaluation of Parkinson’s disease early diagnosis using single-channel EEG features and auditory cognitive assessment
BackgroundParkinson’s disease (PD) often presents with subtle early signs, making diagnosis difficult. F-DOPA PET imaging provides a reliable measure of dopaminergic function and is a primary tool for early PD diagnosis. This study aims to evaluate the ability of machine-learning (ML) extracted EEG…
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Journal Article Full text
A Real-Time Kinect Signature-Based Patient Home Monitoring System
Assessment of body kinematics during performance of daily life activities at home plays a significant role in medical condition monitoring of elderly people and patients with neurological disorders. The affordable and non-wearable Microsoft Kinect (“Kinect”) system has been recently used to…
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Journal Article Full text
Connectivity maps based analysis of EEG for the advanced diagnosis of schizophrenia attributes.
This article presents a novel connectivity analysis method that is suitable for multi-node networks such as EEG, MEG or EcOG electrode recordings. Its diagnostic power and ability to interpret brain states in schizophrenia is demonstrated on a set of 50 subjects that constituted of 25 healthy and…
Also available at: PLOS
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Journal Article Full text
Schizophrenia detection and classification by advanced analysis of EEG recordings using a single electrode approach.
Electroencephalographic (EEG) analysis has emerged as a powerful tool for brain state interpretation and diagnosis, but not for the diagnosis of mental disorders; this may be explained by its low spatial resolution or depth sensitivity. This paper concerns the diagnosis of schizophrenia using EEG…
Also available at: PLOS
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Journal Article
Continuous Monitoring of Mental Load During Virtual Simulator Training for Laparoscopic Surgery Reflects Laparoscopic Dexterity: A Comparative Study Using a Novel Wireless Device
IntroductionCognitive Load Theory (CLT) relates to the efficiency with which individuals manipulate the limited capacity of working memory load. Repeated training generally results in individual performance increase and cognitive load decrease, as measured by both behavioral and neuroimaging…
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Journal Article Full text
One-Class FMRI-Inspired EEG Model for Self-Regulation Training
Recent evidence suggests that learned self-regulation of localized brain activity in deep limbic areas such as the amygdala, may alleviate symptoms of affective disturbances. Thus far self-regulation of amygdala activity could be obtained only via fMRI guided neurofeedback, an expensive and…
Also available at: DOAJ
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Journal Article
Identification of a T cell gene expression clock obtained by exploiting a MZ twin design
Abstract Many studies investigated age-related changes in gene expression of different tissues, with scarce agreement due to the high number of affecting factors. Similarly, no consensus has been reached on which genes change expression as a function of age and not because of environment. In this…
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Single-channel EEG captures tDCS-induced changes in neural reactivity: a pilot study in disorders of consciousness patients and healthy controls
Background: Understanding and enhancing neural recovery in disorders of consciousness (DoC) remains a critical challenge in clinical care. Clinical scales such as the Coma Recovery Scale–Revised (CRS-R) are essential, but reflect behavioral responsiveness and may not fully capture subtle…
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Journal Article
Evaluating cognitive decline detection in aging populations with single-channel EEG features based on two studies and meta-analysis
Abstract Timely detection of cognitive decline is paramount for effective intervention, prompting researchers to leverage EEG pattern analysis, focusing particularly on cognitive load, to establish reliable markers for early detection and intervention. This comprehensive report presents findings…
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Journal Article
Pre-hospital stroke monitoring past, present, and future: a perspective
Integrated brain-machine interface signifies a transformative advancement in neurological monitoring and intervention modalities for events such as stroke, the leading cause of disability. Historically, stroke management relied on clinical evaluation and imaging. While today’s stroke landscape…
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Journal Article
Description of the Method for Evaluating Digital Endpoints in Alzheimer Disease Study: Protocol for an Exploratory, Cross-sectional Study
BackgroundMore sensitive and less burdensome efficacy end points are urgently needed to improve the effectiveness of clinical drug development for Alzheimer disease (AD). Although conventional end points lack sensitivity, digital technologies hold promise for amplifying the detection of treatment…