Abstract Details

Title Individualized Real-Time fMRI Neuromodulation for the Alleviation of Cranial Nerve IX and XII Neuropathy

Topic Neuro-rehabilitation

Presentation(s) S38 - Neuro-rehabilitation (4:06 PM-4:18 PM)

Poster/Presentation
Number 004

Background

The Papageorgiou lab has developed an individualized real-time fMRI closed-loop-neuromodulation (iRTfMRI-cNMT) to upregulate sensorimotor brain networks that regulate tongue motor and sensory control (TMSC). We elucidate the spatiotemporal mechanisms involved in the brain’s modularity when targeting sensorimotor networks.

Objective The goal is to alleviate lower cranial neuropathy following radiation (head and neck cancer treatment) for which no treatment is available. Current pharmacotherapeutics (steroids and opioids) cannot be tolerated, due to their side-effects and the drug-drug interactions.

Design/Methods

Participants (n=30) underwent a two-day-study, consisting of iRTfMRI-cNMT and control-No-cNMT conditions. We decoded the cortical patterns generated by TMSC, interleaved with periods of tongue-rest (baseline) and swallow. Our innovation is the neuromodulation of the activity’s magnitude and extent in individualized networks. We quantify the BOLD magnitude for each network, using the area under the curve (AUC), variance, and dynamic causal modeling.

Results The mechanisms associated with sensorimotor iRTfMRI-cNMT-induced modulation are statistically significant: 1. 45% increase in the BOLD’s magnitude AUC; 2. 14% decrease in the BOLD’s intensity variance; and 3. 20% increase in the networks’ spatial expansion. We elucidated the dynamic brain states during TSMC: 1. a dominant state, characterized by TMSC in 95% of iRTfMRI-cNMT trials (76% of control trials); and 2. a non-dominant state identified as swallowing in 5% of cNMT trials (24% of control trials). The dominant state induced by cNMT was driven by: 1. Within (60%) motor (M1, motor cerebellum, basal ganglia) areas and motor to sensory (54%) networks; and 2. Within (47%) sensory (intraparietal lobule, insula, claustrum, sensory cerebellum, cingulate) areas and sensory to motor (52%) networks. iRTfMRI-cNMT increased consistency in the decoded networks’ spatial extents compared to control (94.3% vs. 89.6%, p<0.001).

Conclusions These findings show that modularity of the individualized networks via iRTfMRI-cNMT is a treatment intervention that can be used to treat neuropathic pain, but also other neurologic disorders.

Authors/Disclosures
T. Dorina Papageorgiou, PhD, FAAN (Baylor College of Medicine) PRESENTER	The institution of Dr. Papageorgiou has received research support from McNair Foundation. The institution of Dr. Papageorgiou has received research support from TIRR - Mission Connect. The institution of Dr. Papageorgiou has received research support from McNair Medical Institute. The institution of Dr. Papageorgiou has received research support from Center for Alzheimer's and Neurodegenerative Disease. The institution of Dr. Papageorgiou has received research support from Naman Basic Science Faculty Award .
Anthony Kaspa Allam	Mr. Allam has nothing to disclose.
Emmanouil Froudarakis	No disclosure on file