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Vagabond Lab

About Us

The Vagabond Lab, led by Dr. Michael VanElzakker at the Division of Neurotherapeutics, Harvard Medical School, investigates the role of neuroinflammation in neurological and psychiatric conditions. Using state-of-the-art neuroimaging techniques—specifically dual PET-MRI and ultra-high field 7-Tesla MRI—we explore the intricate relationship between the immune system and the brain.

Research Focus

Our research aims to describe the mechanisms by which neuroinflammation contributes to cognitive and behavioral dysfunction. Key areas of focus include:

  • Neuroimmune Interactions: Investigating how peripheral immune signals influence brain function.
  • Glial Cell Activation: Examining the role of microglia and astrocytes in neuroinflammation.
  • Neuroimaging of Inflammation: Developing and applying advanced PET-MRI techniques to visualize neuroinflammation in vivo.
  • Cognitive Dysfunction: Studying neuroinflammation’s impact on cognition in conditions such as Long COVID and ME/CFS.
  • Biomarker Discovery: Identifying peripheral biomarkers that indicate central nervous system inflammation.
  • Structural Brain Abnormalities: Exploring brain changes associated with infection-related chronic diseases.
  • Cerebrospinal Fluid Dynamics: Examining CSF flow and pressure in neurological conditions.
  • Autonomic Dysfunction: Investigating brainstem involvement in autonomic control and chronic illness.

Current Projects

Neuroinflammation and Cognitive Dysfunction in Long COVID & ME/CFS

Utilizing dual PET-MRI, this project measures neuroinflammation and its connection to cognitive performance in individuals with Long COVID and ME/CFS. Blood and saliva samples are also analyzed to investigate correlations between neuroinflammation and other disease markers.

Ultra-High Resolution 7-Tesla Imaging of Structural Abnormalities and CSF Flow in Infection-Associated Chronic Disease

This project leverages 7-Tesla MRI to study symptom mechanisms in Long COVID and ME/CFS patients. We focused on structural abnormalities (e.g., craniocervical instability), autonomic dysfunction, cerebrospinal fluid flow disruptions, brain blood flow irregularities, intracranial pressure markers, vagus nerve signaling dysregulation.

Techniques and Resources

We employ a wide range of cutting-edge techniques, including:

  • Dual PET-MRI Neuroimaging: Simultaneous assessment of neuroinflammation and brain function.
  • Ultra-High Field 7-Tesla MRI: High-resolution imaging of structural and functional brain changes.
  • Cognitive Testing: Standardized assessments to evaluate cognitive impairments.
  • Biomarker Analysis: Blood and saliva testing for inflammatory markers and viral proteins.
  • Computational Modeling: Advanced data analysis of neuroimaging and behavioral outcomes.

Our Team

Principal Investigator:

  • Dr. Michael VanElzakker, PhD - Assistant Professor, Division of Neurotherapeutics, Harvard Medical School

Postdoctoral Fellows:

  • Dr. Mario Minor Murakami Junior, MD - Research Fellow, Psychiatry, Harvard Medical School

Clinical Research Coordinators:

  • Deena Saadi, BA
  • Evelyn Barringer, BA
  • Seiji Akera, BA

Collaborators:

  • Dr. Roberta Sclocco, PhD - Assistant Professor, Department of Radiology, Harvard Medical School

Contact Us

For inquiries or collaboration opportunities, please contact:

Dr. Michael VanElzakker, PhD: [email protected]

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  1. phycorr phycorr Public

    Physiological noise correction pipeline for fMRI data, employing: R-DECO for the extraction of peak heart rate and respiration rate; and a modified RETROICOR to generate physiological noise regress…

    MATLAB 2

  2. pemas pemas Public

    This repository contains code and data analysis pipelines for investigating the neural correlates of Respiratory-gated Auricular Vagal Afferent Nerve Stimulation (RAVANS) using 7T fMRI. Includes pr…

    Shell 1

  3. prism prism Public

    Pipeline for Reproducible Imaging Standardization and Management: This repository provides a pipeline for neuroimaging data processing, converting DICOM to NIfTI using Heudiconv and then preprocess…

    Shell 1

Repositories

Showing 4 of 4 repositories
  • prism Public

    Pipeline for Reproducible Imaging Standardization and Management: This repository provides a pipeline for neuroimaging data processing, converting DICOM to NIfTI using Heudiconv and then preprocessing the NIfTI files with fMRIPrep through Singularity.

    vagabondlab/prism’s past year of commit activity
    Shell 1 0 0 0 Updated Apr 1, 2025
  • phycorr Public

    Physiological noise correction pipeline for fMRI data, employing: R-DECO for the extraction of peak heart rate and respiration rate; and a modified RETROICOR to generate physiological noise regressors for BOLD signal correction.

    vagabondlab/phycorr’s past year of commit activity
    MATLAB 2 0 0 0 Updated Apr 1, 2025
  • pemas Public

    This repository contains code and data analysis pipelines for investigating the neural correlates of Respiratory-gated Auricular Vagal Afferent Nerve Stimulation (RAVANS) using 7T fMRI. Includes preprocessing, physiological noise regression, and statistical analysis scripts.

    vagabondlab/pemas’s past year of commit activity
    Shell 1 0 0 0 Updated Apr 1, 2025
  • .github Public

    The laboratory uses cutting-edge dual PET-MRI neuroimaging to measure neuroinflammation (operationalized as neuroimmune glial cell activation) in Long COVID and ME/CFS study participants

    vagabondlab/.github’s past year of commit activity
    0 0 0 0 Updated Mar 27, 2025

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