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Manish Saggar

8 papers in the library · 218 citations · publishing 2010-2026

Papers

Intensive training induces longitudinal changes in meditation state-related EEG oscillatory activity.

Frontiers in human neuroscience January 1, 2012 Manish Saggar, Brandon G King, Anthony P Zanesco et al. 136 citations

Intensive meditation training produces replicable changes in brainwave activity. In a controlled study, participants who practiced focused attention meditation for three months showed reduced beta-band power over anterior and posterior scalp regions during meditation, compared to a wait-list group that later received identical training. Individual alpha frequency also decreased across both retreats, and the decrease was directly related to the amount of meditation practice. These longitudinal changes in brain oscillatory activity help explain how meditation may support long-term improvements in attention and cognition.

A computational approach to understanding the longitudinal changes in cortical activity associated with intensive meditation training

BMC Neurosci January 1, 2010 Manish Saggar, Stephen R Aichele, Tonya L Jacobs et al. 50 citations

Advanced computational methods reveal that intensive meditation training produces lasting alterations in brain activity patterns, beneficially modifying how the brain functions. The approach identifies positive longitudinal changes in cortical activity, suggesting that dedicated meditation practice can reshape the brain and enhance neural well-being.

Mean-field thalamocortical modeling of longitudinal EEG acquired during intensive meditation training.

NeuroImage July 1, 2015 Manish Saggar, Anthony P Zanesco, Brandon G King et al. 31 citations

Intensive meditation training alters brain dynamics by increasing the delay between cortical and thalamic cells and reducing inhibitory connections within the thalamus. These changes, identified through computational modeling of EEG data from two 3-month meditation retreats, provide a neural mechanism for the previously observed slowing of individual alpha frequency. The reduced thalamic inhibition enhances dynamical stability in the model. This is the first computational approach incorporating anatomical and physiological constraints to formally model brain processes underlying intensive meditation, offering testable hypotheses for attention training and potential clinical applications.

Intensive training induces longitudinal changes in meditation state-related EEG oscillatory activity

Manish Saggar, Brandon King, Anthony Paul Zanesco et al. 1 citation

Intensive meditation training over three months produces replicable changes in brain electrical activity. Retreat participants who practiced focused attention meditation showed reduced beta-band brain wave power over front and back regions of the scalp during mindfulness of breathing. Individual alpha frequency also decreased across retreats, and the decrease was directly related to the amount of meditation practice. These changes in brain oscillatory patterns may underlie improvements in attention and cognition from contemplative practice.

A fully remote randomized controlled trial of an ultra-brief digital meditation intervention reduces internalizing symptoms

medRxiv Preprint Server April 19, 2026 Cameron C. Glick, Saad Pirzada, Shaun Quah et al. preprint

A scalable, low-burden behavioral intervention using ultra-brief, remotely delivered meditation was tested in a randomized controlled trial with multimodal outcome assessment under real-world conditions. The intervention aimed to address rising subclinical mental health symptoms, though the abstract does not report specific findings or effect sizes.

Increased cortical thickness and decreased brain age among special operations veterans with blast TBI after a magnesium-ibogaine protocol

iScience February 21, 2026 Andrew D. Geoly, John P. Coetzee, Derrick Matthew Buchanan et al.

In a small study of 22 military veterans with traumatic brain injury, a single treatment with magnesium-ibogaine was associated with changes in brain structure one month later. Brain scans showed an average reduction in predicted brain age of 1.3 years, increased thickness in 11 cortical regions, and volume expansion in 8 subcortical regions. While the authors note that the imaging technique can also reflect nonstructural changes, the overall pattern of results is consistent with neuroplastic change.

Neural correlates of ibogaine: Evidence from functional neuroimaging of military veterans

Biological Psychiatry Cognitive Neuroscience and Neuroimaging February 1, 2026 Malvika Sridhar, Azeezat Azeez, Andrew Geoly et al.

Ibogaine treatment in 30 male Special Operations Forces veterans with traumatic brain injury led to gradual increases in resting-state regional cerebral blood flow in cortical, limbic, and striatal brain regions, along with widespread changes in functional connectivity across multiple neural networks. The magnitude of blood flow changes in the left insula and left anterior cingulate cortex correlated with improvements in TBI-related disability symptoms. These findings suggest ibogaine may reorganize functional connections in the brain, with persisting metabolic changes in paralimbic regions potentially underlying its therapeutic effects, though larger controlled studies are needed to validate these initial results.

Revealing Changes in Linear and Nonlinear Functional Connectivity After Psilocybin and Escitalopram Treatment in Patients with Depression

bioRxiv (Cold Spring Harbor Laboratory) March 10, 2025 Shaun K.l. Quah, Cameron Glick, Leor Roseman et al. preprint

People with major depression who responded to either psilocybin or escitalopram showed distinct changes in brain network connectivity compared to non-responders. Responders had increased linear connectivity within the ventral attention network and greater nonlinear connectivity within the default mode and ventral attention networks. Psilocybin responders showed enhanced coordination between higher-order networks, while escitalopram responders showed reduced connectivity within networks linked to self-referential thought and salience processing. These patterns suggest the two antidepressants work through different mechanisms, with nonlinear connectivity analyses revealing effects not captured by traditional linear measures.