Výsledky vyhledávání - "Issac Thomas"

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Persistent Homology for MCI Classification: A Comparative Analysis between Graph and Vietoris-Rips Filtrations

Autor: Bhattacharya, Debanjali, Kaur, Rajneet, Aithal, Ninad, Sinha, Neelam, Issac, Thomas Gregor

Mild cognitive impairment (MCI), often linked to early neurodegeneration, is characterized by subtle cognitive declines and disruptions in brain connectivity. The present study offers a detailed analysis of topological changes associated with MCI, fo

Externí odkaz: http://arxiv.org/abs/2410.22681

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Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment

Autor: Aithal, Ninad, Bhattacharya, Debanjali, Sinha, Neelam, Issac, Thomas Gregor

Mild cognitive impairment (MCI) is characterized by subtle changes in cognitive functions, often associated with disruptions in brain connectivity. The present study introduces a novel fine-grained analysis to examine topological alterations in neuro

Externí odkaz: http://arxiv.org/abs/2408.15647

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Bayesian Network Modeling of Causal Influence within Cognitive Domains and Clinical Dementia Severity Ratings for Western and Indian Cohorts

Autor: Kumar, Wupadrasta Santosh, Bhutare, Sayali Rajendra, Sinha, Neelam, Issac, Thomas Gregor

This study investigates the causal relationships between Clinical Dementia Ratings (CDR) and its six domain scores across two distinct aging datasets: the Alzheimer's Disease Neuroimaging Initiative (ADNI) and the Longitudinal Aging Study of India (L

Externí odkaz: http://arxiv.org/abs/2408.12669

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Heart Rate and its Variability from Short-term ECG Recordings as Biomarkers for Detecting Mild Cognitive Impairment in Indian Population

Autor: Xavier, Anjo, Noble, Sneha, Joseph, Justin, Issac, Thomas Gregor

Alterations in Heart Rate (HR) and Heart Rate Variability (HRV) can reflect autonomic dysfunction associated with neurodegeneration. We investigate the influence of Mild Cognitive Impairment (MCI) on HR and its variability measures in the Indian popu

Externí odkaz: http://arxiv.org/abs/2408.02296

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Classification of Alzheimer's Dementia vs. Healthy subjects by studying structural disparities in fMRI Time-Series of DMN

Autor: Noble, Sneha, Pradeep, Chakka Sai, Sinha, Neelam, Issac, Thomas Gregor

Time series from different regions of interest (ROI) of default mode network (DMN) from Functional Magnetic Resonance Imaging (fMRI) can reveal significant differences between healthy and unhealthy people. Here, we propose the utility of an existing

Externí odkaz: http://arxiv.org/abs/2407.19990

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