The arc of progression in the most common neurological aiction known as Alzheimer's Disease (AD), is characterized by a prodromal stage of Mild Cognitive Impairment (MCI). MCI subjects have traditionally been diagnosed with a battery of cognitive tests, but in recent times two good biomarker predictors of incipient AD have been identied. The cerebrospinal uid levels of the protein residues amyloid-beta and phosphorylated tau can be quantied and directly relate to the imprint of associated pathologies in the brain. This work aims to elucidate the impact of tau- and amyloid-related pathologies on the functional networks of the brain, as gauged by a resting-state fMRI connectivity analysis. In this context, we aim to identify optimal model par...
INTRODUCTION: Pathophysiological changes that accompany early clinical symptoms in prodromal Alzh...
Alzheimer’s disease (AD) is a progressive disorder associated with cognitive dysfunction that alters...
AbstractUnderstanding neural network dysfunction in neurodegenerative disease is imperative to effec...
poster abstractBackground: Resting-state functional MRI (RS-fMRI) has been proposed to detect neurod...
Mild cognitive impairment (MCI) has received increasing attention not only because of its potential ...
Alzheimer's disease (AD) is the most common dementia with dramatic consequences. The research in str...
β-amyloid (Aβ) plaques and tau-related neurodegeneration are pathologic hallmarks of Alzheimer’s dis...
Understanding the interrelationships of clinical manifestations of Alzheimer’s disease (AD) and func...
Cortical hubs that link functionally specialized neural systems are crucial for cognition. Evidence ...
BACKGROUND: Alzheimer disease (AD) is a neurological disorder with brain network dysfunction. Invest...
Over the past two decades, the development of biomarkers that can detect Alzheimer’s disease (AD) pa...
In resting state fMRI (rs-fMRI), only functional connectivity (FC) reductions in the default mode ne...
Objective: We evaluated the value of resting-state EEG source biomarkers to characterize mild cognit...
Resting-state functional connectivity is a promising biomarker for Alzheimer's disease. However, pre...
Alzheimer's disease (AD) pathological changes may begin up to decades earlier than the appearance of...
INTRODUCTION: Pathophysiological changes that accompany early clinical symptoms in prodromal Alzh...
Alzheimer’s disease (AD) is a progressive disorder associated with cognitive dysfunction that alters...
AbstractUnderstanding neural network dysfunction in neurodegenerative disease is imperative to effec...
poster abstractBackground: Resting-state functional MRI (RS-fMRI) has been proposed to detect neurod...
Mild cognitive impairment (MCI) has received increasing attention not only because of its potential ...
Alzheimer's disease (AD) is the most common dementia with dramatic consequences. The research in str...
β-amyloid (Aβ) plaques and tau-related neurodegeneration are pathologic hallmarks of Alzheimer’s dis...
Understanding the interrelationships of clinical manifestations of Alzheimer’s disease (AD) and func...
Cortical hubs that link functionally specialized neural systems are crucial for cognition. Evidence ...
BACKGROUND: Alzheimer disease (AD) is a neurological disorder with brain network dysfunction. Invest...
Over the past two decades, the development of biomarkers that can detect Alzheimer’s disease (AD) pa...
In resting state fMRI (rs-fMRI), only functional connectivity (FC) reductions in the default mode ne...
Objective: We evaluated the value of resting-state EEG source biomarkers to characterize mild cognit...
Resting-state functional connectivity is a promising biomarker for Alzheimer's disease. However, pre...
Alzheimer's disease (AD) pathological changes may begin up to decades earlier than the appearance of...
INTRODUCTION: Pathophysiological changes that accompany early clinical symptoms in prodromal Alzh...
Alzheimer’s disease (AD) is a progressive disorder associated with cognitive dysfunction that alters...
AbstractUnderstanding neural network dysfunction in neurodegenerative disease is imperative to effec...