Suresh D Muthukumaraswamy

This study uses multivariate information decomposition to analyze how five psychedelics alter information processing in the human brain, revealing new insights into neural reorganization.

This study investigates how LSD alters brain dynamics using MEG and machine learning, finding increased peak frequencies, reduced oscillatory power, and changes in spectral complexity.

This study links human brain functional connectivity to neurotransmitter systems using resting-state fMRI and MEG across multiple cohorts, showing consistent patterns and clinical relevance.

This study uses MEG and connectome harmonics to show LSD reduces structure-function coupling in low-frequency brain activity, linking this to ego dissolution and altered network dynamics.

The paper develops a digital twin brain model that simulates and manipulates functional brain networks to predict mental illness symptoms and responses to interventions.

This study uses fMRI and MEG to investigate how LSD affects DLPFC connectivity and relates to ego dissolution and emotional arousal in healthy humans.

This study uses MEG data to show LSD reconfigures brain network frequencies and spatial distributions in specific frequency bands across different experimental conditions.

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.

This study shows LSD reduces directed information hierarchy in the brain by balancing signal sending and receiving, as measured by MEG data.

This study examines how external stimuli modulate brain entropy during a psychedelic experience, finding that eye closure enhances entropy changes and that video stimuli disrupt the relationship between brain activity and subjective experience.

This study compares neural dynamics changes in schizophrenia and psychedelic-induced states using M/EEG data, finding distinct patterns in information transfer and Bayesian inference alterations.

This paper introduces a whole-brain imaging framework to identify neurophysiological mechanisms, applied to resting-state alpha rhythm, revealing key brain regions and their roles in modulating alpha power.

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.

The paper identifies the edge-of-chaos critical point as the state of cortical dynamics during conscious states and shows it is disrupted during unconsciousness.

The paper introduces coupled tensor-tensor decomposition for EEG-fMRI data fusion to extract task-related features, showing high correlation with memory task components.

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 examines changes in directed functional connectivity during the psychedelic state using MEG and finds a general decrease in directed connectivity for LSD, psilocybin, and low-dose ketamine.

The paper uses ARMA modeling to show alpha blocking is due to increased oscillatory damping, not neuronal desynchronisation, challenging existing views on alpha rhythm modulation.

This study examines how IV DMT affects EEG brain activity, finding reduced alpha/beta power and increased signal diversity, with delta/theta activity correlating with peak subjective experience.

This study investigates the effects of NMDA-antagonist anesthetics Xe and N2O on cortical power changes using MEG and EEG source imaging, finding distinct frequency-specific patterns.

The paper investigates how changes in excitatory-inhibitory balance affect scale-free electrophysiological activity through oscillatory relaxation processes.

The paper compares Predictive Coding and Hebbian learning mechanisms in sensory plasticity using MMN and visual LTP paradigms, finding distinct network modulations and genetic influences.

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.

The paper investigates how cerebral blood flow changes in response to drugs targeting different neurotransmitter systems and finds a reliable spatial link between blood flow changes and receptor densities.

This paper introduces multi-band ICA to improve EEG artifact removal and source reconstruction by increasing component count and SNR, outperforming traditional wide-band ICA.

This study investigates how LSD affects brain activity during music listening, finding increased cortical and subcortical activity linked to timbral complexity and enhanced emotional responses.