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Ashish Raj, PhD
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Publications
Ashish Raj, PhD's Publications
A network-level transport model of tau progression in the Alzheimer's brain.
Back to the Future: Predicting Individual Tau Progression in Alzheimer's Disease.
Contributions of connectional pathways to shaping Alzheimer's disease pathologies.
Directionality bias underpins divergent spatiotemporal progression of Alzheimer-related tauopathy in mouse models.
Distinguish risk genes functioning at presynaptic or postsynaptic regions and key connectomes associated with pathological α-synuclein spreading.
Key Connectomes and Synaptic-Compartment-Specific Risk Genes Drive Pathological α-Synuclein Spreading.
Mapping global brain reconfigurations following local targeted manipulations.
Non-Isocyanate Poly(hydroxyurethane)-Based Networks as Solid Polymer Electrolytes for Lithium Metal Batteries.
Searching for the cellular underpinnings of the selective vulnerability to tauopathic insults in Alzheimer's disease.
Selective vulnerability and resilience to Alzheimer's disease tauopathy as a function of genes and the connectome.
Structured noise champagne: an empirical Bayesian algorithm for electromagnetic brain imaging with structured noise.
Understanding the complex interplay between tau, amyloid and the network in the spatiotemporal progression of Alzheimer's disease.
Bayesian inference of frequency-specific functional connectivity in MEG imaging using a spectral graph model.
Beyond the Buzz: Cortical and subcortical brain changes in patients with pulsatile tinnitus.
Directionality bias underpins divergent spatiotemporal progression of Alzheimer-related tauopathy in mouse models.
Impaired long-range excitatory time scale predicts abnormal neural oscillations and cognitive deficits in Alzheimer's disease.
Integrative, segregative, and degenerate harmonics of the structural connectome.
Modelling pathological spread through the structural connectome in the frontotemporal dementia clinical spectrum.
Selective vulnerability and resilience to Alzheimer's disease tauopathy as a function of genes and the connectome.
Simulation-based inference of developmental EEG maturation with the spectral graph model.
Simulation-based Inference of Developmental EEG Maturation with the Spectral Graph Model.
Spectral graph model for fMRI: a biophysical, connectivity-based generative model for the analysis of frequency-resolved resting state fMRI.
Spectral graph model for fMRI: A biophysical, connectivity-based generative model for the analysis of frequency-resolved resting-state fMRI.
Understanding the complex interplay between tau, amyloid and the network in the spatiotemporal progression of Alzheimer's Disease.
A joint subspace mapping between structural and functional brain connectomes.
Bayesian inference of a spectral graph model for brain oscillations.
Bayesian Inference of a Spectral Graph Model for Brain Oscillations.
Cellular underpinnings of the selective vulnerability to tauopathic insults in Alzheimer's disease.
Cortical Synchrony and Information Flow during Transition from Wakefulness to Light Non-Rapid Eye Movement Sleep.
Dynamic functional connectivity MEG features of Alzheimer's disease.
Impaired long-range excitatory time scale predicts abnormal neural oscillations and cognitive deficits in Alzheimer's disease.
Spatial cell-type enrichment predicts mouse brain connectivity.
Stability and dynamics of a spectral graph model of brain oscillations.
Altered excitatory and inhibitory neuronal subpopulation parameters are distinctly associated with tau and amyloid in Alzheimer's disease.
Connectome-based biophysics models of Alzheimer's disease diagnosis and prognosis.
Editorial: Advances in brain functional and structural networks modeling via graph theory.
High activity and high functional connectivity are mutually exclusive in resting state zebrafish and human brains.
Matrix Inversion and Subset Selection (MISS): A pipeline for mapping of diverse cell types across the murine brain.
Modeling seeding and neuroanatomic spread of pathology in amyotrophic lateral sclerosis.
Predicting Functional Connectivity From Observed and Latent Structural Connectivity via Eigenvalue Mapping.
Spectral graph theory of brain oscillations--Revisited and improved.
Structure-function models of temporal, spatial, and spectral characteristics of non-invasive whole brain functional imaging.
The effects of microglia on tauopathy progression can be quantified using Nexopathy in silico (Nexis) models.
Time-varying dynamic network model for dynamic resting state functional connectivity in fMRI and MEG imaging.
Combined Model of Aggregation and Network Diffusion Recapitulates Alzheimer's Regional Tau-Positron Emission Tomography.
Computational Models in Electroencephalography.
Emergence of canonical functional networks from the structural connectome.
Emergence of directional bias in tau deposition from axonal transport dynamics.
Graph Models of Pathology Spread in Alzheimer's Disease: An Alternative to Conventional Graph Theoretic Analysis.
Network model of pathology spread recapitulates neurodegeneration and selective vulnerability in Huntington's Disease.
Network-constrained technique to characterize pathology progression rate in Alzheimer's disease.
Population-based input function for TSPO quantification and kinetic modeling with [11C]-DPA-713.
A dictionary-based graph-cut algorithm for MRI reconstruction.
Algebraic relationship between the structural network's Laplacian and functional network's adjacency matrix is preserved in temporal lobe epilepsy subjects.
Dynamical Role of Pivotal Brain Regions in Parkinson Symptomatology Uncovered with Deep Learning.
Molecular Imaging of Striatal Dopaminergic Neuronal Loss and the Neurovascular Unit in Parkinson Disease.
Network mediation of pathology pattern in sporadic Creutzfeldt-Jakob disease.
Origins of atrophy in Parkinson linked to early onset and local transcription patterns.
Spectral graph theory of brain oscillations.
Stereotaxic Diffusion Tensor Imaging White Matter Atlas for the in vivo Domestic Feline Brain.
Editorial: Network Spread Models of Neurodegenerative Diseases.
Longitudinal increases in structural connectome segregation and functional connectome integration are associated with better recovery after mild TBI.
Neural connectivity predicts spreading of alpha-synuclein pathology in fibril-injected mouse models: Involvement of retrograde and anterograde axonal propagation.
Predictive model of spread of Parkinson's pathology using network diffusion.
Regional transcriptional architecture of Parkinson's disease pathogenesis and network spread.
Slow-gamma frequencies are optimally guarded against effects of neurodegenerative diseases and traumatic brain injuries.
Systematic Differences Between Perceptually Relevant Image Statistics of Brain MRI and Natural Images.
A method for inferring regional origins of neurodegeneration.
Functional brain connectivity is predictable from anatomic network's Laplacian eigen-structure.
Models of Network Spread and Network Degeneration in Brain Disorders.
Normal diffusivity of the domestic feline brain.
Preserved Structural Network Organization Mediates Pathology Spread in Alzheimer's Disease Spectrum Despite Loss of White Matter Tract Integrity.
Regional expression of genes mediating trans-synaptic alpha-synuclein transfer predicts regional atrophy in Parkinson disease.
Regional vulnerability in Alzheimer's disease: The role of cell-autonomous and transneuronal processes.
Age-Related Changes in Topological Degradation of White Matter Networks and Gene Expression in Chronic Schizophrenia.
Analysis of Amyloid-β Pathology Spread in Mouse Models Suggests Spread Is Driven by Spatial Proximity, Not Connectivity.
Brain network eigenmodes provide a robust and compact representation of the structural connectome in health and disease.
Connectivity, not region-intrinsic properties, predicts regional vulnerability to progressive tau pathology in mouse models of disease.
Mature Hippocampal Neurons Require LIS1 for Synaptic Integrity: Implications for Cognition.
MRI Analysis of White Matter Myelin Water Content in Multiple Sclerosis: A Novel Approach Applied to Finding Correlates of Cortical Thinning.
Predictive Model of Spread of Progressive Supranuclear Palsy Using Directional Network Diffusion.
The Brain's Structural Connectome Mediates the Relationship between Regional Neuroimaging Biomarkers in Alzheimer's Disease.
Diffuse reduction of cerebral grey matter volumes in Erdheim-Chester disease.
Network Analysis on Predicting Mean Diffusivity Change at Group Level in Temporal Lobe Epilepsy.
Structural connectome disruption at baseline predicts 6-months post-stroke outcome.
Exploring the brain's structural connectome: A quantitative stroke lesion-dysfunction mapping study.
Feasibility and reproducibility of whole brain myelin water mapping in 4 minutes using fast acquisition with spiral trajectory and adiabatic T2prep (FAST-T2) at 3T.
Measuring longitudinal myelin water fraction in new multiple sclerosis lesions.
Network Diffusion Model of Progression Predicts Longitudinal Patterns of Atrophy and Metabolism in Alzheimer's Disease.
Profilometry: A new statistical framework for the characterization of white matter pathways, with application to multiple sclerosis.
Relating Cortical Atrophy in Temporal Lobe Epilepsy with Graph Diffusion-Based Network Models.
Multi-compartment T2 relaxometry using a spatially constrained multi-Gaussian model.
Predicting future brain tissue loss from white matter connectivity disruption in ischemic stroke.
Simultaneous phase unwrapping and removal of chemical shift (SPURS) using graph cuts: application in quantitative susceptibility mapping.
Spatial patterns of genome-wide expression profiles reflect anatomic and fiber connectivity architecture of healthy human brain.
Widespread white matter degeneration preceding the onset of dementia.
Discriminative random field segmentation of lung nodules in CT studies.
Network diffusion accurately models the relationship between structural and functional brain connectivity networks.
Robust myelin quantitative imaging from multi-echo T2 MRI using edge preserving spatial priors.
The Network Modification (NeMo) Tool: elucidating the effect of white matter integrity changes on cortical and subcortical structural connectivity.
A network diffusion model of disease progression in dementia.
Bayesian algorithm using spatial priors for multiexponential T₂ relaxometry from multiecho spin echo MRI.
Linking white matter integrity loss to associated cortical regions using structural connectivity information in Alzheimer's disease and fronto-temporal dementia: the Loss in Connectivity (LoCo) score.
Loss in connectivity among regions of the brain reward system in alcohol dependence.
Statistics of weighted brain networks reveal hierarchical organization and Gaussian degree distribution.
T2 prep three-dimensional spiral imaging with efficient whole brain coverage for myelin water quantification at 1.5 tesla.
A fast Edge-preserving Bayesian reconstruction method for Parallel Imaging applications in cardiac MRI.
A pilot study of quantitative MRI measurements of ventricular volume and cortical atrophy for the differential diagnosis of normal pressure hydrocephalus.
The generation and validation of white matter connectivity importance maps.
The wiring economy principle: connectivity determines anatomy in the human brain.
Spatial HARDI: improved visualization of complex white matter architecture with Bayesian spatial regularization.
Visualization and segmentation of liver tumors using dynamic contrast MRI.
A maximum likelihood approach to parallel imaging with coil sensitivity noise.
Bayesian parallel imaging with edge-preserving priors.
Fast and stable bayesian image expansion using sparse edge priors.
Automatic algorithm for correcting motion artifacts in time-resolved two-dimensional magnetic resonance angiography using convex projections.
Improved signal-to-noise ratio in parallel coronary artery magnetic resonance angiography using graph cuts based Bayesian reconstruction.
Statistical aspects of parallel imaging reconstruction.
