Mohit H. Adhikari

Long-term dietary interventions fail to mitigate functional connectivity loss and cognitive decline in the TgF344-AD rat model of Alzheimers Disease

This study evaluates long-term dietary interventions in a rat model of Alzheimer's disease, finding limited effects on functional connectivity and cognitive decline.

Longitudinal Investigation of Structural and Resting-State Effective Connectivity Alterations in a Non-Human Primate Model of Huntington's Disease

This study examines longitudinal changes in structural and effective connectivity in a non-human primate HD model, finding reduced structural connectivity and early effective connectivity changes.

Resting-state functional dynamics alterations relate to plasma amyloid markers and explain memory impairments in the TgF344-AD model of Alzheimer's disease

The paper examines resting-state fMRI dynamics in a rat model of Alzheimer's disease, linking functional changes to amyloid levels and memory impairments, with better predictive power from pre-plaque stage CAPs.

Short-term caloric restriction or resveratrol supplementation alters large-scale brain network connectivity in male and female rats

This study compares the effects of caloric restriction and resveratrol on brain network connectivity in male and female rats, finding sex-specific changes in functional connectivity.

Evolution of aberrant brain-wide spatiotemporal dynamics of resting-state networks in a Huntington's disease mouse model

This study investigates altered spatiotemporal dynamics of resting-state networks in a Huntington's disease mouse model using dynamic functional connectivity and identifies age- and genotype-specific quasi-periodic patterns of brain activity.

Early altered directionality of resting brain network state transitions in the TgF344-AD rat model of Alzheimer's disease

The paper analyzes resting-state fMRI data from TgF344-AD rats to identify altered brain state transitions at early AD stages.

Longitudinal investigation of changes in resting-state co-activation patterns and their predictive ability in the zQ175 DN mouse model of Huntington's disease

The paper investigates changes in resting-state co-activation patterns in a Huntington's disease mouse model and finds they predict disease states with high accuracy.

Resting-State fMRI reveals Longitudinal Alterations in Brain Network Connectivity in a Mouse Model of Huntington's Disease

This study uses resting-state fMRI to track longitudinal changes in brain network connectivity in a mouse model of Huntington's disease, revealing age-related alterations in cortical and subcortical networks.

Identification of pre-synaptic density networks using SV2A PET imaging and ICA in healthy and diseased mice

This paper applies ICA to SV2A PET data in mice to identify pre-synaptic density networks, showing age-related changes and disease impacts in HD models.

Resting-state Co-activation Patterns as Accurate Predictors of Alzheimer's Disease in Aged Mice.

This study identifies co-activation patterns (CAPs) in resting-state fMRI as accurate predictors of Alzheimer's disease in aged mice, with spatial features showing near-perfect classification accuracy.

Model-based whole-brain effective connectivity to study distributed cognition in health and disease

This paper introduces MOU-EC, a whole-brain effective connectivity model for fMRI data to study brain cognition in health and disease, showing its application in extracting task-specific biomarkers and interpreting connectivity changes.