Zobrazeno 1 - 10
of 176
pro vyhledávání: '"Sinha, Neelam"'
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
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
Multi-channel ECG-based cardiac disorders detection has an impact on cardiac care and treatment. Limitations of existing methods included variation in ECG waveforms due to the location of electrodes, high non-linearity in the signal, and amplitude me
Externí odkaz:
http://arxiv.org/abs/2408.01542
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
Recent advances in molecular and genetic research have identified a diverse range of brain tumor sub-types, shedding light on differences in their molecular mechanisms, heterogeneity, and origins. The present study performs whole-brain connectome ana
Externí odkaz:
http://arxiv.org/abs/2407.17938
Important applications of advancements in machine learning, are in the area of healthcare, more so for neurological disorder detection. A crucial step towards understanding the neurological status, is to estimate the brain age using structural MRI vo
Externí odkaz:
http://arxiv.org/abs/2407.06686
This paper focuses on improving object detection performance by addressing the issue of image distortions, commonly encountered in uncontrolled acquisition environments. High-level computer vision tasks such as object detection, recognition, and segm
Externí odkaz:
http://arxiv.org/abs/2404.08293
Autor:
Bhattacharya, Debanjali, Sinha, Neelam
Recent advances in neuroimaging have enabled studies in functional connectivity (FC) of human brain, alongside investigation of the neuronal basis of cognition. One important FC study is the representation of vision in human brain. The release of pub
Externí odkaz:
http://arxiv.org/abs/2403.11480
In this study, we present a technique that spans multi-scale views (global scale -- meaning brain network-level and local scale -- examining each individual ROI that constitutes the network) applied to resting-state fMRI volumes. Deep learning based
Externí odkaz:
http://arxiv.org/abs/2402.02811
Our study aims to utilize fMRI to identify the affected brain regions within the Default Mode Network (DMN) in subjects with Mild Cognitive Impairment (MCI), using a novel Node Significance Score (NSS). We construct subject-specific DMN graphs by emp
Externí odkaz:
http://arxiv.org/abs/2312.01768