Debanjali Bhattacharya
YOU?
Author Swipe
View article: Image complexity-based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning
Image complexity-based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning Open
This study proposes a new approach that investigates differences in topological characteristics of visual networks, which are constructed using fMRI BOLD time-series corresponding to visual datasets of COCO, ImageNet, and SUN. A publicly a…
View article: RNF20-mediated H2B monoubiquitination protects stalled forks from degradation and promotes fork restart
RNF20-mediated H2B monoubiquitination protects stalled forks from degradation and promotes fork restart Open
Chromatin modifications play an important role in transcription, DNA replication and repair. Nonetheless, whether histone modifications regulate replication stress responses remains obscure. Here, we show that RNF20 localizes to and promot…
View article: Persistent homology for MCI classification: a comparative analysis between graph and Vietoris-Rips filtrations
Persistent homology for MCI classification: a comparative analysis between graph and Vietoris-Rips filtrations Open
Introduction Mild cognitive impairment (MCI), often linked to early neurodegeneration, is associated with subtle disruptions in brain connectivity. In this paper, the applicability of persistent homology, a cutting-edge topological data an…
View article: Non-linear dynamics in ECG: a novel approach for robust classification of cardiovascular disorders
Non-linear dynamics in ECG: a novel approach for robust classification of cardiovascular disorders Open
Detecting cardiac disorders from multi-channel ECG has significant implications for cardiac care. Current methods face challenges due to ECG waveform variations by electrode placement, high signal non-linearity, and low millivolt amplitude…
View article: RAD51C-XRCC3 complex regulates FANCM-mediated R-loop resolution to safeguard genome integrity
RAD51C-XRCC3 complex regulates FANCM-mediated R-loop resolution to safeguard genome integrity Open
Fanconi anemia (FA) is characterized by bone marrow failure, congenital abnormalities, and cancer predisposition. Mutations in RAD51 paralogs have been identified in FA-like disorder and cancers. Although the role of RAD51 paralogs is well…
View article: RNF20-mediated H2B monoubiquitination protects stalled forks from degradation and promotes fork restart
RNF20-mediated H2B monoubiquitination protects stalled forks from degradation and promotes fork restart Open
Chromatin modifications play an important role in transcription, DNA replication and repair. Nonetheless, whether histone modifications regulate replication stress responses remains obscure. Here, we show that RNF20 localizes to and promot…
View article: Non-Linear Dynamics in ECG: A Novel Approach for Robust Classification of Cardiovascular Disorders
Non-Linear Dynamics in ECG: A Novel Approach for Robust Classification of Cardiovascular Disorders Open
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 a…
View article: Persistent Homology for MCI Classification: A Comparative Analysis between Graph and Vietoris-Rips Filtrations
Persistent Homology for MCI Classification: A Comparative Analysis between Graph and Vietoris-Rips Filtrations Open
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 w…
View article: Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment
Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment Open
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 alteratio…
View article: Non-linear Analysis Based ECG Classification of Cardiovascular Disorders
Non-linear Analysis Based ECG Classification of Cardiovascular Disorders Open
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 a…
View article: RTEL1 helicase counteracts RAD51-mediated homologous recombination and fork reversal to safeguard replicating genomes
RTEL1 helicase counteracts RAD51-mediated homologous recombination and fork reversal to safeguard replicating genomes Open
Homologous recombination (HR) plays an essential role in the repair of DNA double-strand breaks (DSBs), replication stress responses, and genome maintenance. However, unregulated HR during replication can impair genome duplication and comp…
View article: Towards Understanding the Functional Connectivity Patterns in Visual Brain Network
Towards Understanding the Functional Connectivity Patterns in Visual Brain Network Open
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 rel…
View article: Analyzing Brain Tumor Connectomics using Graphs and Persistent Homology
Analyzing Brain Tumor Connectomics using Graphs and Persistent Homology Open
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 con…
View article: Towards understanding the nature of direct functional connectivity in visual brain network
Towards understanding the nature of direct functional connectivity in visual brain network Open
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 rel…
View article: Multi-scale fMRI time series analysis for understanding neurodegeneration in MCI
Multi-scale fMRI time series analysis for understanding neurodegeneration in MCI Open
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 lear…
View article: Image complexity based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning
Image complexity based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning Open
This study proposes a new approach that investigates differences in topological characteristics of visual networks, which are constructed using fMRI BOLD time-series corresponding to visual datasets of COCO, ImageNet, and SUN. A publicly a…
View article: Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision
Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision Open
Functional MRI (fMRI) is widely used to examine brain functionality by detecting alteration in oxygenated blood flow that arises with brain activity. This work aims to investigate the neurological variation of human brain responses during …
View article: Spatial encoding of BOLD fMRI time series for categorizing static images across visual datasets: A pilot study on human vision
Spatial encoding of BOLD fMRI time series for categorizing static images across visual datasets: A pilot study on human vision Open
Functional MRI (fMRI) is widely used to examine brain functionality by detecting alteration in oxygenated blood flow that arises with brain activity. In this study, complexity specific image categorization across different visual datasets …
View article: Interpretable simultaneous localization of MRI corpus callosum and classification of atypical Parkinsonian disorders using YOLOv5
Interpretable simultaneous localization of MRI corpus callosum and classification of atypical Parkinsonian disorders using YOLOv5 Open
Structural MRI(S-MRI) is one of the most versatile imaging modality that revolutionized the anatomical study of brain in past decades. The corpus callosum (CC) is the principal white matter fibre tract, enabling all kinds of inter-hemisphe…
View article: Determining chromosomal arms 1p/19q co-deletion status in low graded glioma by cross correlation-periodogram pattern analysis
Determining chromosomal arms 1p/19q co-deletion status in low graded glioma by cross correlation-periodogram pattern analysis Open
View article: Determining Chromosomal Arms 1p/19q Co-deletion Status in Low Graded Glioma by Cross Correlation-periodogram Pattern Analysis
Determining Chromosomal Arms 1p/19q Co-deletion Status in Low Graded Glioma by Cross Correlation-periodogram Pattern Analysis Open
Prediction of mutational status of different graded glioma is extremely crucial for its diagnosis and treatment planning. Currently FISH and the surgical biopsy techniques are the ‘gold standard’ in the field of diagnostics; the analyses o…
View article: A New Statistical Framework for Corpus Callosum Sub-Region Characterization Based on LBP Texture in Patients With Parkinsonian Disorders: A Pilot Study
A New Statistical Framework for Corpus Callosum Sub-Region Characterization Based on LBP Texture in Patients With Parkinsonian Disorders: A Pilot Study Open
Our result demonstrates the efficacy of proposed methodology in analyzing tissue alteration in MRI of Parkinsonian disorders and thus has potential to become valuable tool in computer aided differential diagnosis.