Jacob A. Alappatt
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View article: Connectomic assessment of injury burden and longitudinal structural network alterations in moderate‐to‐severe traumatic brain injury
Connectomic assessment of injury burden and longitudinal structural network alterations in moderate‐to‐severe traumatic brain injury Open
Traumatic brain injury (TBI) is a major public health problem. Caused by external mechanical forces, a major characteristic of TBI is the shearing of axons across the white matter, which causes structural connectivity disruptions between b…
View article: Free Water Volume Fraction: An Imaging Biomarker to Characterize Moderate-to-Severe Traumatic Brain Injury
Free Water Volume Fraction: An Imaging Biomarker to Characterize Moderate-to-Severe Traumatic Brain Injury Open
Traumatic brain injury (TBI) is a major clinical and public health problem with few therapeutic interventions successfully translated to the clinic. Identifying imaging-based biomarkers characterizing injury severity and predicting long-te…
View article: Connectomic Assessment of Injury Burden and Longitudinal Structural Network Alterations in Moderate-to-severe Traumatic Brain Injury
Connectomic Assessment of Injury Burden and Longitudinal Structural Network Alterations in Moderate-to-severe Traumatic Brain Injury Open
Traumatic brain injury (TBI) is a major public health problem. Caused by external mechanical forces, a major characteristic of TBI is the shearing of axons across the white matter, which causes structural connectivity disruptions between b…
View article: NIMG-21. DIFFERENTIATING TUMOR TYPES BASED ON THE PERITUMORAL MICROENVIRONMENT USING CONVOLUTIONAL NEURAL NETWORKS
NIMG-21. DIFFERENTIATING TUMOR TYPES BASED ON THE PERITUMORAL MICROENVIRONMENT USING CONVOLUTIONAL NEURAL NETWORKS Open
PURPOSE The differential diagnosis of glioblastoma (GBM) versus single brain metastasis (Met) is clinically important, and is undertaken with a clinical reading of MR images and/or tumor biopsy. We investigate whether Mets and GBMs can be …
View article: NIMG-45. DEEP LEARNING-BASED PERITUMORAL MICROSTRUCTURE MAPPING IN GLIOBLASTOMAS USING FREE WATER VOLUME FRACTION
NIMG-45. DEEP LEARNING-BASED PERITUMORAL MICROSTRUCTURE MAPPING IN GLIOBLASTOMAS USING FREE WATER VOLUME FRACTION Open
PURPOSE Characterization of the peritumoral microenvironment is a widely researched, but as yet unsolved problem. Determining the tissue microstructure differences between tumor types, arising from differences in infiltration, edema, and d…
View article: Connectomic consistency: a systematic stability analysis of structural and functional connectivity
Connectomic consistency: a systematic stability analysis of structural and functional connectivity Open
Our study sets a reference point for consistency of connectome types, which is especially important for structure-function coupling studies in evaluating mismatches between modalities.
View article: Analysis of Consistency in Structural and Functional Connectivity of Human Brain
Analysis of Consistency in Structural and Functional Connectivity of Human Brain Open
Analysis of structural and functional connectivity of brain has become a fundamental approach in neuroscientific research. Despite several studies reporting consistent similarities as well as differences for structural and resting state (r…
View article: QC-Automator: Deep Learning-Based Automated Quality Control for Diffusion MR Images
QC-Automator: Deep Learning-Based Automated Quality Control for Diffusion MR Images Open
Quality assessment of diffusion MRI (dMRI) data is essential prior to any analysis, so that appropriate pre-processing can be used to improve data quality and ensure that the presence of MRI artifacts do not affect the results of subsequen…
View article: Graph Matching Based Connectomic Biomarker with Learning for Brain Disorders
Graph Matching Based Connectomic Biomarker with Learning for Brain Disorders Open
View article: Correction to: Graph Matching Based Connectomic Biomarker with Learning for Brain Disorders
Correction to: Graph Matching Based Connectomic Biomarker with Learning for Brain Disorders Open
View article: Connectomic consistency: a systematic stability analysis of structural and functional connectivity
Connectomic consistency: a systematic stability analysis of structural and functional connectivity Open
Connectomics, the study of brain connectivity, has become an indispensable tool in neuroscientific research as it provides insights into brain organization. Connectomes are generated for different modalities such as using diffusion MRI to …
View article: Deviation from normative brain development is associated with symptom severity in autism spectrum disorder
Deviation from normative brain development is associated with symptom severity in autism spectrum disorder Open
Background Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition. The degree to which the brain development in ASD deviates from typical brain development, and how this deviation relates to observed behavioral outc…
View article: QC-Automator: Deep Learning-based Automated Quality Control for\n Diffusion MR Images
QC-Automator: Deep Learning-based Automated Quality Control for\n Diffusion MR Images Open
Quality assessment of diffusion MRI (dMRI) data is essential prior to any\nanalysis, so that appropriate pre-processing can be used to improve data\nquality and ensure that the presence of MRI artifacts do not affect the results\nof subseq…
View article: Neuroimaging Findings in US Government Personnel With Possible Exposure to Directional Phenomena in Havana, Cuba
Neuroimaging Findings in US Government Personnel With Possible Exposure to Directional Phenomena in Havana, Cuba Open
Among US government personnel in Havana, Cuba, with potential exposure to directional phenomena, compared with healthy controls, advanced brain magnetic resonance imaging revealed significant differences in whole brain white matter volume,…
View article: MOESM4 of Deviation from normative brain development is associated with symptom severity in autism spectrum disorder
MOESM4 of Deviation from normative brain development is associated with symptom severity in autism spectrum disorder Open
Additional file 4: Table S2. Relationship between DDI and ASD Severity.
View article: MOESM3 of Deviation from normative brain development is associated with symptom severity in autism spectrum disorder
MOESM3 of Deviation from normative brain development is associated with symptom severity in autism spectrum disorder Open
Additional file 3: Table S1. Regional brain maturation differences between TDC and ASD samples.
View article: MOESM5 of Deviation from normative brain development is associated with symptom severity in autism spectrum disorder
MOESM5 of Deviation from normative brain development is associated with symptom severity in autism spectrum disorder Open
Additional file 5: Table S3. Neuroimaging (FA) differences between the TDC sample and the two subgroups of ASD.
View article: COMP-03. TUMOR CONNECTOME: INSIGHT INTO THE IMPACT OF CNS NEOPLASIA AND THERAPY ON THE BRAIN NETWORK
COMP-03. TUMOR CONNECTOME: INSIGHT INTO THE IMPACT OF CNS NEOPLASIA AND THERAPY ON THE BRAIN NETWORK Open
PURPOSE: Although surgical planning tools are aimed at avoiding damage to eloquent tracts, resection as well as treatment like radiation, may alter the structural connectivity of the whole brain. This may lead to subtle cognitive deficits …
View article: Music and Emotion—A Case for North Indian Classical Music
Music and Emotion—A Case for North Indian Classical Music Open
The ragas of North Indian Classical Music (NICM) have been historically known to elicit emotions. Recently, Mathur et al. (2015) provided empirical support for these historical assumptions, that distinct ragas elicit distinct…