Krish D. Singh

The paper examines the relationship between moment-to-moment behavioural variability and subjective attentional states using multimodal data, finding they are largely dissociable and not strongly correlated.

This study links brain microstructure to neural dynamics by showing that white and grey matter properties significantly correlate with propagation delays measured via MEG.

This paper enhances MEG spatial resolution using BOLD-fMRI and explainable machine learning, achieving high predictive performance and detailed upsampled maps.

This study identifies synaptic disturbances in schizophrenia using magnetoencephalography and dynamic causal modeling, showing that targeted synaptic restoration can realign neural activity to healthy patterns.

This study investigates the functional and structural properties of hippocampal networks involved in scene and face perception using MEG and diffusion MRI in humans.

This study investigates how GABAergic modulation affects sensorimotor beta oscillations using MEG, finding differential impacts of gaboxadol and zolpidem on periodic and aperiodic neural components.

The paper uses OPM-MEG to measure visual gamma oscillations in children and adults, showing age-related changes in excitatory-inhibitory balance in visual cortex.

This paper compares two models for mapping brain structure to function in health and psychosis, finding that deep learning outperforms analytical models in predicting functional connectivity in healthy individuals.

This study compares the effects of GABA-ergic propofol and non-GABA-ergic dexmedetomidine on visual and motor cortical oscillations using MEG, finding distinct impacts on gamma-band responses and post-movement beta rebound.

This study examines altered criticality properties in schizophrenia patients using MEG data, finding differences in self-similarity and multifractality gradients compared to healthy controls.

The paper predicts resting-state functional connectivity using microstructural metrics and finds that streamline count and myelin measures yield the most accurate predictions.

This study identifies 33 genome-wide significant SNPs associated with cerebellar volume in 33,265 UK-Biobank participants, highlighting 21 candidate genes and genetic correlations with other brain structures.

This study uses MRVE to measure functional connectivity in resting-state MEG, finding that MRVE and AEC detect consistent connections in alpha and beta bands across participants.

This study investigates electrophysiological network changes in adults with neurodevelopmental risk copy number variants using MEG, finding decreased connectivity and network segregation differences.

This study uses a thalamo-cortical model to show ketamine alters synaptic connectivity, increasing gamma and reducing alpha oscillations in cortical recordings.

This study uses MEG and pharmacological intervention to map GABAA receptor distribution by analyzing changes in brain oscillations induced by tiagabine.

This study uses MEG energy landscape analysis to show JME patients have altered network dynamics in the frontoparietal network, with fewer local energy minima and reduced time in characteristic energy basins.

This study investigates rapid face processing by manipulating presentation duration and using MEG to show two stages of face perception linked to behavior.

This study evaluates the reliability of static and dynamic functional connectivity metrics from resting-state MEG data, finding that dynamic metrics and chronnectomic parameters are more reliable than static node-wise metrics.

This study shows that gamma frequency and cortical laminar processing change across the menstrual cycle in healthy females, linked to hormonal fluctuations and synaptic microcircuitry modifications.