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Kuhn T, Spivak NM, Dang BH, Becerra S, Halavi SE, Rotstein N, Rosenberg BM, Hiller S, Swenson A, Cvijanovic L, Dang N, Sun M, Kronemyer D, Berlow R, Revett MR, Suthana N, Monti MM, Bookheimer S. Transcranial focused ultrasound selectively increases perfusion and modulates functional connectivity of deep brain regions in humans. Front Neural Circuits 2023; 17:1120410. [PMID: 37091318 PMCID: PMC10114286 DOI: 10.3389/fncir.2023.1120410] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 03/14/2023] [Indexed: 04/08/2023] Open
Abstract
BackgroundLow intensity, transcranial focused ultrasound (tFUS) is a re-emerging brain stimulation technique with the unique capability of reaching deep brain structures non-invasively.Objective/HypothesisWe sought to demonstrate that tFUS can selectively and accurately target and modulate deep brain structures in humans important for emotional functioning as well as learning and memory. We hypothesized that tFUS would result in significant longitudinal changes in perfusion in the targeted brain region as well as selective modulation of BOLD activity and BOLD-based functional connectivity of the target region.MethodsIn this study, we collected MRI before, simultaneously during, and after tFUS of two deep brain structures on different days in sixteen healthy adults each serving as their own control. Using longitudinal arterial spin labeling (ASL) MRI and simultaneous blood oxygen level dependent (BOLD) functional MRI, we found changes in cerebral perfusion, regional brain activity and functional connectivity specific to the targeted regions of the amygdala and entorhinal cortex (ErC).ResultstFUS selectively increased perfusion in the targeted brain region and not in the contralateral homolog or either bilateral control region. Additionally, tFUS directly affected BOLD activity in a target specific fashion without engaging auditory cortex in any analysis. Finally, tFUS resulted in selective modulation of the targeted functional network connectivity.ConclusionWe demonstrate that tFUS can selectively modulate perfusion, neural activity and connectivity in deep brain structures and connected networks. Lack of auditory cortex findings suggests that the mechanism of tFUS action is not due to auditory or acoustic startle response but rather a direct neuromodulatory process. Our findings suggest that tFUS has the potential for future application as a novel therapy in a wide range of neurological and psychiatric disorders associated with subcortical pathology.
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Affiliation(s)
- Taylor Kuhn
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
- *Correspondence: Taylor Kuhn,
| | - Norman M. Spivak
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Neurosurgery, University of California, Los Angeles, Los Angeles, CA, United States
- UCLA-Caltech Medical Scientist Training Program, Los Angeles, CA, United States
| | - Bianca H. Dang
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Sergio Becerra
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Sabrina E. Halavi
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Natalie Rotstein
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Benjamin M. Rosenberg
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Sonja Hiller
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Andrew Swenson
- Neuroscience Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, United States
| | - Luka Cvijanovic
- Neuroscience Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, United States
| | - Nolan Dang
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Michael Sun
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States
| | - David Kronemyer
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Rustin Berlow
- American Brain Stimulation Clinic, Del Mar, CA, United States
| | - Malina R. Revett
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Nanthia Suthana
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Neurosurgery, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States
| | - Martin M. Monti
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Neurosurgery, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Susan Bookheimer
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
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Spivak NM, Sanguinetti JL, Monti MM. Focusing in on the Future of Focused Ultrasound as a Translational Tool. Brain Sci 2022; 12:158. [PMID: 35203922 PMCID: PMC8870102 DOI: 10.3390/brainsci12020158] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/14/2022] [Accepted: 01/22/2022] [Indexed: 12/22/2022] Open
Abstract
This article summarizes the field of focused ultrasound for use in neuromodulation and discusses different ways of targeting, delivering, and validating focused ultrasound. A discussion is focused on parameter space and different ongoing theories of ultrasonic neuromodulation. Current and future applications of the technique are discussed.
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Affiliation(s)
- Norman M. Spivak
- UCLA—Caltech Medical Scientist Training Program, David Geffen School of Medicine, Los Angeles, CA 90095, USA
- Department of Neurosurgery, University of California, Los Angeles, CA 90095, USA;
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA 90095, USA
| | - Joseph L. Sanguinetti
- Department of Psychology, University of Arizona, Tucson, AZ 85721, USA;
- Department of Psychology, University of New Mexico, Albuquerque, NM 87131, USA
| | - Martin M. Monti
- Department of Neurosurgery, University of California, Los Angeles, CA 90095, USA;
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA 90095, USA
- Department of Psychology, University of California, Los Angeles, CA 90095, USA
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Qiao Y, Zou C, Wen J, Long X, Cheng C, Yang W, Ye W, Liang D, Liu X, Zheng H. MARFit: An integrated software for real-time MR guided focused ultrasound neuromodulation system. IEEE Trans Neural Syst Rehabil Eng 2022; 30:264-273. [DOI: 10.1109/tnsre.2022.3146286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Qiao Y, Li Y, Leng Q, Zhou H, Long X, Lee J, Chen Y, Liu X, Zheng H, Zou C. Highly accelerated magnetic resonance acoustic radiation force imaging for in vivo transcranial ultrasound focus localization: A comparison of three reconstruction methods. NMR IN BIOMEDICINE 2021; 34:e4598. [PMID: 34396597 DOI: 10.1002/nbm.4598] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 06/30/2021] [Accepted: 07/20/2021] [Indexed: 06/13/2023]
Abstract
Magnetic resonance acoustic radiation force imaging (MR-ARFI) is a promising tool for transcranial neurosurgery planning and monitoring. However, the ultrasound dose during ARFI is quite high due to the high intensity required and the repetitive ultrasound sonication. To reduce the ultrasound deposition and prevent unwanted neurological effects, undersampling in k-space data acquisition is adopted in the current study. Three reconstruction methods, keyhole, k-space hybrid and temporal differences (TED) compressed sensing, the latter two of which were initially proposed for MR thermometry, were applied to the in vivo transcranial focus localization based on MR-ARFI data in a retrospective way. The accuracies of the three methods were compared with the results from the fully sampled data as reference. The results showed that the keyhole method tended to smooth the displacement map and underestimate the peak displacement. The K-space hybrid method was better at recovering the displacement map and was robust to the undersampling pattern, while the TED method was more time efficient under a higher image resolution. For an image of a lower resolution, the K-space hybrid and TED methods were comparable in terms of accuracy when a high undersampling rate was applied. The results reported here facilitate the choice of appropriate undersampled reconstruction methods in transcranial focal localization based on MR-ARFI.
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Affiliation(s)
- Yangzi Qiao
- Paul C Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, People's Republic of China
| | - Yanbin Li
- Paul C Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, People's Republic of China
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
| | - Qingpu Leng
- Paul C Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, People's Republic of China
- University of Chinese Academy of Sciences, Beijing, China
| | - Hui Zhou
- Paul C Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, People's Republic of China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaojing Long
- Paul C Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, People's Republic of China
| | - Jo Lee
- Paul C Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, People's Republic of China
| | - Yadong Chen
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
| | - Xin Liu
- Paul C Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, People's Republic of China
| | - Hairong Zheng
- Paul C Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, People's Republic of China
| | - Chao Zou
- Paul C Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, People's Republic of China
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Stern JM, Spivak NM, Becerra SA, Kuhn TP, Korb AS, Kronemyer D, Khanlou N, Reyes SD, Monti MM, Schnakers C, Walshaw P, Keselman I, Cohen MS, Yong W, Fried I, Jordan SE, Schafer ME, Engel J, Bystritsky A. Safety of focused ultrasound neuromodulation in humans with temporal lobe epilepsy. Brain Stimul 2021; 14:1022-1031. [PMID: 34198105 DOI: 10.1016/j.brs.2021.06.003] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 06/07/2021] [Accepted: 06/08/2021] [Indexed: 01/20/2023] Open
Abstract
OBJECTIVE Transcranial Focused Ultrasound (tFUS) is a promising new potential neuromodulation tool. However, the safety of tFUS neuromodulation has not yet been assessed adequately. Patients with refractory temporal lobe epilepsy electing to undergo an anterior temporal lobe resection present a unique opportunity to evaluate the safety and efficacy of tFUS neuromodulation. Histological changes in tissue after tFUS can be examined after surgical resection, while further potential safety concerns can be assessed using neuropsychological testing. METHODS Neuropsychological functions were assessed in eight patients before and after focused ultrasound sonication of the temporal lobe at intensities up to 5760 mW/cm2. Using the BrainSonix Pulsar 1002, tFUS was delivered under MR guidance, using the Siemens Magnetom 3T Prisma scanner. Neuropsychological changes were assessed using various batteries. Histological changes were assessed using hematoxylin and eosin staining, among others. RESULTS With respect to safety, the histological analysis did not reveal any detectable damage to the tissue, except for one subject for whom the histology findings were inconclusive. In addition, neuropsychological testing did not show any statistically significant changes in any test, except for a slight decrease in performance on one of the tests after tFUS. SIGNIFICANCE This study supports the hypothesis that low-intensity Transcranial Focused Ultrasound (tFUS) used for neuromodulation of brain circuits at intensities up to 5760 mW/cm2 may be safe for use in human research. However, due to methodological limitations in this study and inconclusive findings, more work is warranted to establish the safety. Future directions include greater number of sonications as well as longer exposure at higher intensity levels to further assess the safety of tFUS for modulation of neuronal circuits.
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Affiliation(s)
- John M Stern
- Department of Neurology, UCLA School of Medicine, USA
| | - Norman M Spivak
- Department of Psychiatry and Biobehavioral Sciences, UCLA School of Medicine, USA; Department of Neurosurgery, UCLA School of Medicine, USA
| | - Sergio A Becerra
- Department of Psychiatry and Biobehavioral Sciences, UCLA School of Medicine, USA
| | - Taylor P Kuhn
- Department of Psychiatry and Biobehavioral Sciences, UCLA School of Medicine, USA
| | - Alexander S Korb
- Department of Psychiatry and Biobehavioral Sciences, UCLA School of Medicine, USA; BrainSonix Inc., Los Angeles, CA, USA
| | - David Kronemyer
- Department of Psychiatry and Biobehavioral Sciences, UCLA School of Medicine, USA
| | - Négar Khanlou
- Department of Pathology and Laboratory Medicine, UCLA School of Medicine, USA
| | - Samuel D Reyes
- Department of Neurosurgery, UCLA School of Medicine, USA
| | - Martin M Monti
- Department of Psychiatry and Biobehavioral Sciences, UCLA School of Medicine, USA; Department of Neurosurgery, UCLA School of Medicine, USA; Department of Psychology, UCLA College of Letters and Science, USA; Brain Research Institute, UCLA, USA
| | | | - Patricia Walshaw
- Department of Psychiatry and Biobehavioral Sciences, UCLA School of Medicine, USA
| | - Inna Keselman
- Department of Neurology, UCLA School of Medicine, USA
| | - Mark S Cohen
- Department of Neurology, UCLA School of Medicine, USA; Department of Psychiatry and Biobehavioral Sciences, UCLA School of Medicine, USA; Department of Psychology, UCLA College of Letters and Science, USA; Department of Radiology, UCLA School of Medicine, USA; Department of Biomedical Physics, UCLA School of Medicine, USA; Department of Bioengineering, UCLA School of Engineering, USA; California Nanosystems Institute, UCLA, USA; Brain Research Institute, UCLA, USA
| | - William Yong
- Department of Pathology and Laboratory Medicine, UCLA School of Medicine, USA
| | - Itzhak Fried
- Department of Neurosurgery, UCLA School of Medicine, USA; Brain Research Institute, UCLA, USA
| | - Sheldon E Jordan
- Neurology Management Associates- Los Angeles, Santa Monica, CA, USA
| | - Mark E Schafer
- BrainSonix Inc., Los Angeles, CA, USA; School of Biomedical Engineering, Drexel University, Philadelphia, PA, USA
| | - Jerome Engel
- Department of Neurology, UCLA School of Medicine, USA; Department of Psychiatry and Biobehavioral Sciences, UCLA School of Medicine, USA; Department of Neurobiology, UCLA School of Medicine, USA; Brain Research Institute, UCLA, USA
| | - Alexander Bystritsky
- Department of Psychiatry and Biobehavioral Sciences, UCLA School of Medicine, USA; BrainSonix Inc., Los Angeles, CA, USA.
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