Georgios A. Keliris

The paper decodes motion direction in mouse V1 by analyzing neuronal responses and functional connectivity, finding that high predictive power neurons form dense networks during stimulation but differ in resting state.

This study shows that cholinergic modulation dynamically switches resting-state networks by selectively suppressing the Default Mode Network in both rodent and human models.

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

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.

This study shows that selective cholinergic stimulation of the medial septum-diagonal band of Broca in rats improves spatial learning during training but not after, while nonselective stimulation causes appetite loss and altered brain connectivity.

This study uses electrophysiological data from a rat model to classify AD transgenic rats from wild-type using machine learning, finding that both low and high frequency signals contribute to accurate classification.

This study shows altered brain fluid circulation dynamics in a mature-onset AD mouse model, linked to amyloid plaque burden and neuroinflammation.

The paper examines BOLD responses in hV5/MT+ to RDK stimuli in healthy and scotoma subjects, finding that motion discrimination tasks suppress coherence-related responses.

The paper creates a mouse cerebral vascular atlas from MRI data to improve spatial reliability across animals and demonstrates its use in fMRI analysis.

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.

The paper shows that resting brain fluctuations in mice are intrinsically linked to visual response dynamics through quasiperiodic patterns.

This study uses DREADDs to inhibit neurons in the mouse anterior cingulate area and shows changes in functional connectivity and BOLD signals using fMRI.

This study shows that increased soluble amyloid-beta causes early brain network hypersynchronisation in a mature-onset mouse model of amyloidosis, with later hypoconnectivity and plaque formation.

This study identifies reproducible resting-state networks in the mouse brain across multiple centers using standardized rsfMRI analysis.

This study shows that bottom-up sensory processing in rats reduces activity and functional connectivity in the default mode like network, similar to top-down attention effects in humans.

This paper introduces a method to estimate single-neuron visual receptive field sizes in humans using fMRI, finding smaller sizes compared to population-based estimates.

The paper investigates how the organization of hV5/MT+ changes in patients with V1 lesions and finds that residual visual activity in hV5/MT+ may originate from V1 or bypass pathways, but does not ensure conscious vision.

The paper examines gamma-band neuronal coherence in macaque primary visual cortex and finds it correlates more with firing rate than LFP oscillations, suggesting adaptive sensitivity changes maintain spatial resolution.