Adeel Razi

Context Shapes Alpha-Band Electrophysiological Signatures Under Psilocybin

The paper examines how naturalistic context affects psilocybin's frequency-specific electrophysiological effects using EEG data from 56 participants.

Language-associated brain representations covary with disruption of selfhood under psilocybin

The paper uses fMRI to show that psilocybin increases similarity in language-associated brain activity, correlating with ego dissolution.

Psychedelics Align Brain Activity with Context

This study shows psilocybin reorganizes brain activity into context-sensitive patterns linked to subjective experience and mindset changes.

Predicting individual differences of fear and cognitive learning and extinction

The paper predicts individual differences in fear and cognitive learning and extinction using multimodal neural connectivity patterns from a large dataset.

What Is a Generative Model? Definitions, Disagreements, and Evaluation in Human Neuroimaging

The paper surveys neuroimaging researchers on definitions, usage, and evaluation of generative models, revealing both agreement and disagreement on criteria and methods.

Depression reduces structurally informed network flexibility in premanifest Huntington's disease

The paper examines how depression affects network flexibility in premanifest Huntington's disease using structural connectivity-informed dynamic causal modeling, finding reduced effective connectivity variability in those with depression history.

Effective connectivity of the human claustrum: Triple networks, subcortical circuits and psychedelic modulation

The paper characterizes claustral effective connectivity in humans using fMRI, showing bidirectional connections and psilocybin-induced changes in inhibition and disinhibition.

Context-dependent structurally informed effective connectivity under psilocybin

This study examines how structural connectivity shapes brain dynamics under psilocybin using effective connectivity models and fMRI data across different contexts.

Network Dysconnection of Striatum and Default Mode Network Underpins Temporal Dynamics of Depression in Premanifest Huntington's Disease

The paper examines how network dysconnection between striatum and default mode network predicts depression in premanifest Huntington's disease, independent of grey matter atrophy.

Spectral imprint of structural embedding in effective connectivity

This paper introduces a chromatic dynamic causal model that links structural valency to spectral properties of neural fluctuations, showing it outperforms standard models and reveals conserved valency-exponent mappings across species.

PsiConnect: A Multimodal Neuroimaging Study of Psilocybin-Induced Changes in Brain and Behaviour

PsiConnect investigates psilocybin's effects on brain and behavior using multimodal neuroimaging and longitudinal follow-ups.

A network correspondence toolbox for quantitative evaluation of novel neuroimaging results

The paper introduces the Network Correspondence Toolbox (NCT) to evaluate spatial correspondence between novel neuroimaging results and existing brain atlases, enabling standardized reporting and comparison across studies.

Structurally informed resting-state effective connectivity recapitulates cortical hierarchy

The paper integrates structural connectivity into dynamic causal modeling of resting-state effective connectivity, showing improved model evidence and revealing a network-dependent modulation of the relationship between structural and effective connectivity.

Sex-specific brain effective connectivity patterns associated with negative emotions

This study identifies sex-specific resting-state brain connectivity patterns associated with negative emotions in a healthy population.

Neuroticism and emotion regulation: An effective connectivity analysis of large-scale resting-state brain networks

This study uses effective connectivity analysis of resting-state brain networks to predict neuroticism and negative emotions in a large dataset.

Dysconnection and cognition in schizophrenia: a spectral dynamic causal modeling study

This study uses dynamic causal modeling to analyze effective connectivity in schizophrenia patients, finding significant dysconnection in key networks and correlations with cognitive impairments.

Changes in both top-down and bottom-up effective connectivity drive visual hallucinations in Parkinson's disease

This study uses spectral dynamic causal modelling to show that visual hallucinations in Parkinson's disease are linked to reduced bottom-up and increased top-down effective connectivity in the visual network.

In vitro neurons learn and exhibit sentience when embodied in a simulated game-world

The paper demonstrates that in vitro neurons can learn and exhibit goal-directed behavior in a simulated game environment.

Hypothalamic effective connectivity at rest is associated with body weight and energy homeostasis

This study examines how body weight and energy homeostasis affect effective connectivity between hypothalamic regions using resting-state fMRI in humans.

Neural network modelling reveals changes in directional connectivity between cortical and hypothalamic regions in obesity

The paper uses neural network modeling to show increased top-down excitation from the insula to the hypothalamus and reduced prefrontal cortex excitation in obesity, regardless of hunger state.

Convergence of cortical types and functional motifs in the mesiotemporal lobe

The paper develops a continuous surface model of the mesiotemporal lobe's iso-to-allocortex transition and links it to functional dynamics and cognitive systems.

Predicting ovulation from brain connectivity: Dynamic causal modelling of the menstrual cycle.

The paper uses dynamic causal modelling to predict ovulation phase from brain connectivity changes across the menstrual cycle in healthy women.

The physiological effects of non-invasive brain stimulation fundamentally differ across the human cortex

This study investigates how non-invasive brain stimulation affects different cortical regions and individuals, finding varied effects on functional connectivity and neural signaling.

The effect of global signal regression on DCM estimates of noise and effective connectivity from resting state fMRI

This study evaluates the impact of global signal regression on DCM estimates of noise and effective connectivity in resting state fMRI, finding minimal effects on connectivity but caution in interpreting noise parameters.

Inferring neural signalling directionality from undirected structural connectomes

The paper infers neural signalling directionality from undirected structural connectomes using send-receive communication asymmetry and shows it aligns with effective connectivity directionality.

Transdiagnostic variations in impulsivity and compulsivity in obsessive-compulsive disorder and gambling disorder correlate with effective connectivity in cortical-striatal-thalamic-cortical circuits.

The paper examines how impulsivity and compulsivity dimensions in OCD and GD correlate with CSTC circuit connectivity, finding continuous distributions and shared connectivity patterns across disorders.

Dynamic causal modelling of fluctuating connectivity in resting-state EEG

This study uses dynamic causal modelling to analyze fluctuations in resting-state EEG connectivity, finding both subject-specific and common components in network connectivity patterns.

Stability and sensitivity of structural connectomes: effect of thresholding and filtering and demonstration in neurodegeneration

The paper evaluates graph thresholding and streamline filtering methods for structural connectome construction in Huntington's disease, finding that SIFT2 filtering improves group difference detection and clinical correlations.

Variability and reliability of effective connectivity within the core default mode network: A longitudinal spectral DCM study

This study evaluates the reliability of effective connectivity in the default mode network using longitudinal fMRI data and finds that hemispheric asymmetry and Bayesian model reduction improve consistency.

Assessment of Functional Connectome Construction Strategies in Neurodegeneration

This study compares functional connectome construction strategies in neurodegeneration, finding that principal component-based correction and weighted unthresholded networks best discriminate HD gene carriers from controls.