Matthew D. Sacchet

Electrophysiological brain reconfiguration during meditation-induced extended cessation of consciousness: an EEG microstate study

This study examines electrophysiological changes during meditation-induced extended cessation of consciousness using EEG microstate analysis, finding a reconfiguration of brain dynamics associated with reduced self-related processing and increased integrative activity.

Childhood Maltreatment and Deviations from Normative Brain Structure: Results from 3,711 Individuals from the ENIGMA MDD and ENIGMA PTSD

The paper examines how childhood maltreatment affects brain structure in 3,711 individuals with MDD and PTSD, finding age- and sex-specific brain morphometric differences.

The neuroscience of highly stable, positive, and refined states of consciousness during jhana-type advanced concentration absorption meditation (ACAM-J)

This study uses fMRI to analyze neural changes during jhana-type meditation, finding reproducible brain patterns linked to attentional stability and reduced suffering.

A Scalable Toolkit for Modeling 3D Surface-based Brain Geometry

The paper introduces a scalable toolkit for 3D surface-based brain analysis, demonstrating its utility in mapping subcortical shape variations across 21 international samples.

Whole-Brain Models of Advanced Concentrative Absorption Meditation: Approaching Critical Dynamics through Jhana

The paper uses whole-brain modeling to analyze brain dynamics during advanced meditation states, finding increased functional integration and near-critical dynamics in later states associated with minimal phenomenal experience.

Neuroelectrophysiological correlates of extended cessation of consciousness in advanced meditators: A multimodal EEG and MEG study

This study examines the neuroelectrophysiological correlates of extended cessation (EC) in meditators using EEG and MEG, finding increased high-frequency global coherence during EC compared to other unconscious states.

Endogenous suspension and reset of consciousness: 7T fMRI brain mapping of the extended cessation meditative endpoint

This paper uses 7T fMRI to study brain activity during an advanced meditative state called extended cessation, finding changes in brain regions and connectivity patterns.

Dissecting heterogeneity in cortical thickness abnormalities in major depressive disorder: a large-scale ENIGMA MDD normative modelling study

This study uses normative modeling to analyze cortical thickness deviations in MDD patients and healthy controls, finding large overlaps and significant heterogeneity in extreme deviations across individuals.

Integrated phenomenology and brain connectivity demonstrate changes in nonlinear processing in jhana advanced meditation

This study examines neural connectivity during advanced meditation using EEG and phenomenological ratings, finding that nonlinear dynamics better distinguish meditation states than linear metrics.

High-precision neurofeedback-guided meditation training optimises real-world self-guided meditation practice for well-being

This study shows that high-precision neurofeedback-guided meditation training improves disengagement from mental activity and enhances emotional well-being in novice meditators.

Subject-specific whole-brain parcellations of nodes and boundaries are modulated differently under 10Hz rTMS

This study examines how 10Hz rTMS affects functional connectivity in the brain using rsfMRI, revealing differences in how network nodes and boundaries change.

A Large-Scale ENIGMA Multisite Replication Study of Brain Age in Depression

The paper replicates a brain age gap in depression using a large-scale multisite study, finding a similar effect size to a prior study.

Brain Aging in Major Depressive Disorder: Results from the ENIGMA Major Depressive Disorder working group

This paper examines brain aging in major depressive disorder (MDD) using a large dataset, finding that MDD patients show increased brain age differences compared to controls.

Subcortical Shape Alterations in Major Depressive Disorder: Findings from the ENIGMA Major Depressive Disorder Working Group

This study identifies subcortical shape differences in MDD patients using ENIGMA data, highlighting region-specific changes in surface area and thickness.

Decoupling of Dopamine Release and Neural Activity in Major Depressive Disorder during Reward Processing Assessed by Simultaneous fPET-fMRI

This study uses simultaneous fPET-fMRI to show reduced dopamine release and neural activity in the striatum in MDD during reward processing, with decoupling linked to rumination.

Deep Learning for Quality Control of Subcortical Brain 3D Shape Models

The paper develops deep learning models to assess the quality of subcortical brain shape models from MRI, reducing human rater time by 46-70%.

Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging

This work uses machine learning to automate quality control of 3D brain shape models, reducing human workload by 30-70% across multiple datasets and diseases.