Multimodal Imaging Analysis of Fibromyalgia Syndrome Reveals Structural and Functional Abnormalities in Cortico-Thalamic Loops
Synopsis
Here we propose a characterization of Fibromyalgia pathophysiology in gray matter (GM) tissue using a multimodal neuroimaging approach (volumetric, diffusion-weighted, and resting-state functional connectivity).
Disclosures
Nothing to Disclose by any Author
Author(s):
- Andrew D. Geoly, MS, Stanford University
- Ryan T. Ash, PhD, Stanford University
- Dr. Mahendra Bhati, MD, Clinical Professor, Psychiatry and Behavioral Sciences, Stanford University
- Dr. Charles DeBattista, MD, Professor of Psychiatry and Behavioral Sciences (General Psychiatry and Psychology - Adult), Stanford Wu Tsai Neurosciences Institute
- Flint M. Espil, MD, Stanford University
- Nimrod Y. Keynan, PhD, Stanford University
- Ian H. Kratter, PhD, Stanford University
- Kristin S. Raj, MD, Stanford University
- Gregory L. Sahlem, MD, Stanford University
- Malvika Sridhar, MS, Stanford University
- Dr. Nolan R. Williams, MD, Director of the Stanford Brain Stimulation Lab, Stanford Hospital and Clinics
Track: Poster
| Display Label | Action |
|---|---|
| NPC2022-P01-39 - Multimodal Imaging Analysis of Fibromyalgia Syndrome Reveals Structural and Functional Abnormalities in Cortico-Thalamic Loops | Download MP3 |
| 39_Geoly - Multimodal Imaging Analysis of Fibromyalgia Syndrome | Download Abstract |
| NAPA_PAIN_poster_8_9_2022 | Download Poster |