Repetitive transcranial magnetic stimulation (rTMS) has been increasingly explored for many neurological and neuropsychiatric conditions. However, the response rate is variable depending on baseline conditions. Optimizing rTMS protocols to improve treatment effects and response rates will depend on reliably assessing brain state conditions. In this regard, neural activity guided optimization has shown potential in several neuroimaging studies. In this paper, we present our ongoing work on optimizing rTMS treatment of a balance disorder called Mal de Debarquement Syndrome (MdDS), a motion perception disorder caused by entrainment to background motion. Our previous work has revealed that a neuroimaging marker of resting state functional connectivity may help predict therapeutic effect. Motivated by our previous pilot study with fMRI, the present study aims to extend the investigation to EEG data that were simultaneously acquired with fMRI, with the aim of transferring the fMRI imaging marker to a more accessible neural recording technology. Our current findings demonstrate that integrating EEG with fMRI measures of neural synchrony and functional connectivity may hold promise in optimizing rTMS protocols.
|Original language||English (US)|
|Title of host publication||2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society|
|Subtitle of host publication||Smarter Technology for a Healthier World, EMBC 2017 - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|State||Published - Sep 13 2017|
|Event||39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, Korea, Republic of|
Duration: Jul 11 2017 → Jul 15 2017
|Name||Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS|
|Other||39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017|
|Country/Territory||Korea, Republic of|
|Period||7/11/17 → 7/15/17|
Bibliographical noteFunding Information:
This work was supported in part by NSF CAREER ECCS-0955260, DOT-FAA 10-G-008, NSF RII Track-2 FEC 1539068, NIH/NIDCD R03 DC010451, and an equipment grant from the MdDS Balance Disorders Foundation. Asterisk indicates corresponding author.
© 2017 IEEE.