Poster No:
92
Submission Type:
Abstract Submission
Authors:
Seo Young Lee1, Sora An2, Chang-hyun Park1, Song E Kim3, Seong Eun Hwang4, Young Goo Kim5, Hyang Woon Lee6
Institutions:
1Artificial Intelligence Convergence Program, Ewha Womans University, Seoul, Korea, Republic of, 2Department of Communication Disorders, Ewha Womans University, Seoul, Korea, Republic of, 3Departments of Neurology and Medical Science, Ewha Womans University School of Medicine, Seoul, Korea, Republic of, 4Department of Neurology, Ewha Womans University Mogdong Hospital, Seoul, Seoul, 5Department of NeuroSurgery, Ewha Womans University Mogdong Hospital, Seoul, Seoul, 6Graduate School of Ewha Womans University, Seoul, Korea, Republic of
First Author:
Seo Young Lee
Artificial Intelligence Convergence Program, Ewha Womans University
Seoul, Korea, Republic of
Co-Author(s):
Sora An
Department of Communication Disorders, Ewha Womans University
Seoul, Korea, Republic of
Chang-hyun Park
Artificial Intelligence Convergence Program, Ewha Womans University
Seoul, Korea, Republic of
Song E Kim
Departments of Neurology and Medical Science, Ewha Womans University School of Medicine
Seoul, Korea, Republic of
Seong Eun Hwang
Department of Neurology, Ewha Womans University Mogdong Hospital
Seoul, Seoul
Young Goo Kim
Department of NeuroSurgery, Ewha Womans University Mogdong Hospital
Seoul, Seoul
Introduction:
Insomnia is a prevalent sleep disorder that profoundly impacts individuals' quality of life. Transcranial focused ultrasound stimulation (tFUS) is a non-invasive brain stimulation technique that has shown promise in neuromodulation. The medial prefrontal cortex (mPFC) is a region of the brain that plays a crucial role in regulating sleep and wakefulness. In this study, we aimed to investigate the therapeutic potential of tFUS on functional connectivity (FC) in the medial prefrontal cortex (mPFC) of insomnia patients.
Methods:
We conducted a randomized controlled trial with 45 participants, including 24 insomnia patients and 21 healthy controls. Participants were randomly assigned to either the tFUS group or the sham group. The tFUS group received excitatory stimulation (70% duty cycle with 5 sec sonication interval) for 20 minutes per session. The sham group received a similar procedure but without actual stimulation. We used resting-state functional magnetic resonance imaging (fMRI) to measure FC between the mPFC and other sites of the brain before and after tFUS. We also collected data on sleep quality, sleep duration, and other sleep-related parameters. The neuroimaging-based prediction model was built based on brain structures and connectome, reconstructed from individual structural brain images, and neural mass models that describe the local dynamics of each brain region. We analyzed changes in simulated FC through resting-state simulations before and after tFUS, and further investigated the correlation between the results and clinical indices (i.e., improvement in Insomnia Severity Index (ISI)).
Results:
tFUS significantly increased FC in the mPFC of insomnia patients compared to the sham group. We also observed noticeable improvement in insomnia-related symptoms in the patient group after tFUS. The long-term effects of tFUS on sleep quality will be further investigated in our research. The correlation between the predictive model and the actual improvement degree of the ISI was also investigated.
Conclusions:
Our findings suggest that tFUS could modulate the brain functional network of insomniac patients, potentially providing an effective therapeutic approach to insomnia. Individualized prediction model may enhance the clinical application potential and the realization of personalized precision medicine. However, further studies are needed to confirm these results and to optimize the sonication protocol for clinical application.
Brain Stimulation:
Sonic/Ultrasound 1
Disorders of the Nervous System:
Psychiatric (eg. Depression, Anxiety, Schizophrenia)
Modeling and Analysis Methods:
fMRI Connectivity and Network Modeling
Perception, Attention and Motor Behavior:
Sleep and Wakefulness 2
Keywords:
FUNCTIONAL MRI
Modeling
Sleep
ULTRASOUND
1|2Indicates the priority used for review
Provide references using author date format
Kim, Y. G., Kim, S. E., Lee, J., Hwang, S., Yoo, S. S., & Lee, H. W. (2022), ‘Neuromodulation Using Transcranial Focused Ultrasound on the Bilateral Medial Prefrontal Cortex’, Journal of clinical medicine, 11(13), 3809.
Supported by the National Research Foundation of Korea (NRF) (No.2020R1A2C2013216, 2019M3C1B8090803, 2019M3C1B8090802, and RS-2023-00265524), Institute of Information & Communication Technology Planning & Evaluation (IITP) grant (No. RS-2022-00155966) by the Korea government (MSIT), and BK21-plus FOUR and Artificial Intelligence Convergence Innovation Human Resources Development programs of Ewha Womans University.