Author

Henrik Heitmann

TUM KlinikumORCID 0000-0001-8002-0199Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 7 Assay:electronic health records· 5 Research Focus:benchmarking· 4 Approach:statistical model· 4 Research Focus:differential expression· 2 Approach:Bayesian inference· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1

Frequent Co-Authors

Elisabeth S. MayiD· 7 shared Markus PloneriD· 7 shared Laura TiemanniD· 6 shared Cristina Gil ÁvilaiD· 5 shared Vanessa D. HohniD· 5 shared Moritz M. NickeliD· 4 shared Paul Theo ZebhauseriD· 4 shared Felix S. BottiD· 3 shared

Activity by Year

2019-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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7 shared papersNeuroscience

Elisabeth S. MayORCID

Mutual co-authors in cluster

Author profile →

7 papers

Recent·Most cited

Effects of Centrally Acting Analgesics on Resting-State Electroencephalography Biomarker Candidates of Chronic Pain

Paul Theo Zebhauser, Felix S. Bott, Cristina Gil Ávila, Henrik Heitmann, Elisabeth S. May, Laura Tiemann, Enayatullah Baki, Thomas Rudolf Tölle, Markus Ploner

This study investigates the effects of centrally acting analgesics on rsEEG biomarkers of chronic pain and finds no significant medium to large effects.

Journal of Pain · Jan 18, 2025Peer-reviewedNeuroscience

Assessing the balance between excitation and inhibition in chronic pain through the aperiodic component of EEG

Cristina Gil Ávila, Elisabeth S. May, Felix S. Bott, Laura Tiemann, Vanessa D. Hohn, Henrik Heitmann, Paul Theo Zebhauser, Joachim Groß, Markus Ploner

This study investigates whether the aperiodic component of EEG in the medial prefrontal cortex can differentiate between individuals with chronic pain and healthy controls, finding no significant differences.

eLife · Jan 13, 2025Peer-reviewedNeuroscience

Resting-State Electroencephalography and Magnetoencephalography in Migraine - A Systematic Review and Meta-Analysis

Paul Theo Zebhauser, Henrik Heitmann, Elisabeth S. May, Markus Ploner

This study reviews and analyzes resting-state M/EEG data from 27 studies on migraine, finding increased theta power and reduced alpha/beta connectivity in interictal migraineurs.

The Journal of Headache and Pain · Sep 11, 2024Peer-reviewedNeuroscience

EEG-based analysis of intrinsic brain network function in chronic pain: Insights from a comprehensive multi-data set study

Felix S. Bott, Paul Theo Zebhauser, Vanessa D. Hohn, Özgün Turgut, Elisabeth S. May, Laura Tiemann, Cristina Gil Ávila, Henrik Heitmann, Moritz M. Nickel, Melissa A. Day, Divya Bharatkumar Adhia, Yoni K. Ashar, Tor Dessart Wager, Yelena Granovsky, David Yarnitsky, , Markus Ploner

This study examines intrinsic brain network function in chronic pain using EEG data from 537 individuals, finding some replicable associations but highlighting the need for collaborative research.

bioRxiv · Aug 12, 2024 · PreprintNeuroscience

Modulating Brain Rhythms of Pain using Transcranial Alternating Current Stimulation (tACS)? A Sham-controlled Study in Healthy Human Participants

Elisabeth S. May, Vanessa D. Hohn, Moritz M. Nickel, Laura Tiemann, Cristina Gil Ávila, Henrik Heitmann, Paul Sauseng, Markus Ploner

This study investigates whether tACS can modulate pain and autonomic responses in healthy humans but finds no significant effects, suggesting the need for refined protocols.

Journal of Pain · Jun 12, 2021Peer-reviewedNeuroscience

Dynamics of brain function in chronic pain patients assessed by microstate analysis of resting-state electroencephalography

Elisabeth S. May, Cristina Gil Ávila, Son Ta Dinh, Henrik Heitmann, Vanessa D. Hohn, Moritz M. Nickel, Laura Tiemann, Thomas Rudolf Tölle, Markus Ploner

This study uses microstate analysis of resting-state EEG to find that chronic pain patients show reduced prominence of microstate D, associated with attentional networks.

Pain · Apr 8, 2021Peer-reviewedNeuroscience

Brain dysfunction in chronic pain patients assessed by resting-state electroencephalography

Son Ta Dinh, Moritz M. Nickel, Laura Tiemann, Elisabeth S. May, Henrik Heitmann, Vanessa D. Hohn, Günther M. Edenharter, Daniel Utpadel-Fischler, Thomas Rudolf Tölle, Paul Sauseng, Joachim Groß, Markus Ploner

This study uses resting-state EEG to identify abnormal frontal theta and gamma synchrony in chronic pain patients, suggesting potential targets for non-invasive brain stimulation.

Pain · Jul 22, 2019Peer-reviewedNeuroscience