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Xu R, Bestmann S, Treeby BE, Martin E. Strategies and safety simulations for ultrasonic cervical spinal cord neuromodulation. Phys Med Biol 2024; 69:125011. [PMID: 38788727 DOI: 10.1088/1361-6560/ad506f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 05/24/2024] [Indexed: 05/26/2024]
Abstract
Objective. Focused ultrasound spinal cord neuromodulation has been demonstrated in small animals. However, most of the tested neuromodulatory exposures are similar in intensity and exposure duration to the reported small animal threshold for possible spinal cord damage. All efforts must be made to minimize the risk and assure the safety of potential human studies, while maximizing potential treatment efficacy. This requires an understanding of ultrasound propagation and heat deposition within the human spine.Approach. Combined acoustic and thermal modelling was used to assess the pressure and heat distributions produced by a 500 kHz source focused to the C5/C6 level via two approaches (a) the posterior acoustic window between vertebral posterior arches, and (b) the lateral intervertebral foramen from which the C6 spinal nerve exits. Pulse trains of fifty 0.1 s pulses (pulse repetition frequency: 0.33 Hz, free-field spatial peak pulse-averaged intensity: 10 W cm-2) were simulated for four subjects and for ±10 mm translational and ±10∘rotational source positioning errors.Main results.Target pressures ranged between 20%-70% of free-field spatial peak pressures with the posterior approach, and 20%-100% with the lateral approach. When the posterior source was optimally positioned, peak spine heating values were below 1 ∘C, but source mispositioning resulted in bone heating up to 4 ∘C. Heating with the lateral approach did not exceed 2 ∘C within the mispositioning range. There were substantial inter-subject differences in target pressures and peak heating values. Target pressure varied three to four-fold between subjects, depending on approach, while peak heating varied approximately two-fold between subjects. This results in a nearly ten-fold range between subjects in the target pressure achieved per degree of maximum heating.Significance. This study highlights the utility of trans-spine ultrasound simulation software and need for precise source-anatomy positioning to assure the subject-specific safety and efficacy of focused ultrasound spinal cord therapies.
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Affiliation(s)
- Rui Xu
- Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom
| | - Sven Bestmann
- Department of Clinical and Movement Neuroscience, University College London, London, United Kingdom
| | - Bradley E Treeby
- Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Eleanor Martin
- Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom
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2
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Osada T, Konishi S. Noninvasive intervention by transcranial ultrasound stimulation: Modulation of neural circuits and its clinical perspectives. Psychiatry Clin Neurosci 2024; 78:273-281. [PMID: 38505983 DOI: 10.1111/pcn.13663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/12/2024] [Accepted: 02/26/2024] [Indexed: 03/21/2024]
Abstract
Low-intensity focused transcranial ultrasound stimulation (TUS) is an emerging noninvasive technique capable of stimulating both the cerebral cortex and deep brain structures with high spatial precision. This method is recognized for its potential to comprehensively perturb various brain regions, enabling the modulation of neural circuits, in a manner not achievable through conventional magnetic or electrical brain stimulation techniques. The underlying mechanisms of neuromodulation are based on a phenomenon where mechanical waves of ultrasound kinetically interact with neurons, specifically affecting neuronal membranes and mechanosensitive channels. This interaction induces alterations in the excitability of neurons within the stimulated region. In this review, we briefly present the fundamental principles of ultrasound physics and the physiological mechanisms of TUS neuromodulation. We explain the experimental apparatus and procedures for TUS in humans. Due to the focality, the integration of various methods, including magnetic resonance imaging and magnetic resonance-guided neuronavigation systems, is important to perform TUS experiments for precise targeting. We then review the current state of the literature on TUS neuromodulation, with a particular focus on human subjects, targeting both the cerebral cortex and deep subcortical structures. Finally, we outline future perspectives of TUS in clinical applications in psychiatric and neurological fields.
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Affiliation(s)
- Takahiro Osada
- Department of Neurophysiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Seiki Konishi
- Department of Neurophysiology, Juntendo University School of Medicine, Tokyo, Japan
- Research Institute for Diseases of Old Age, Juntendo University School of Medicine, Tokyo, Japan
- Sportology Center, Juntendo University School of Medicine, Tokyo, Japan
- Advanced Research Institute for Health Science, Juntendo University School of Medicine, Tokyo, Japan
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3
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Martin E, Aubry JF, Schafer M, Verhagen L, Treeby B, Pauly KB. ITRUSST consensus on standardised reporting for transcranial ultrasound stimulation. Brain Stimul 2024; 17:607-615. [PMID: 38670224 DOI: 10.1016/j.brs.2024.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 03/30/2024] [Accepted: 04/18/2024] [Indexed: 04/28/2024] Open
Abstract
As transcranial ultrasound stimulation (TUS) advances as a precise, non-invasive neuromodulatory method, there is a need for consistent reporting standards to enable comparison and reproducibility across studies. To this end, the International Transcranial Ultrasonic Stimulation Safety and Standards Consortium (ITRUSST) formed a subcommittee of experts across several domains to review and suggest standardised reporting parameters for low intensity TUS, resulting in the guide presented here. The scope of the guide is limited to reporting the ultrasound aspects of a study. The guide and supplementary material provide a simple checklist covering the reporting of: (1) the transducer and drive system, (2) the drive system settings, (3) the free field acoustic parameters, (4) the pulse timing parameters, (5) in situ estimates of exposure parameters in the brain, and (6) intensity parameters. Detailed explanations for each of the parameters, including discussions on assumptions, measurements, and calculations, are also provided.
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Affiliation(s)
- Eleanor Martin
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK; Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, UK
| | - Jean-François Aubry
- Physics for Medicine Paris, Inserm U1273, ESPCI Paris, CNRS UMR8063, PSL University, Paris, France
| | - Mark Schafer
- School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA
| | - Lennart Verhagen
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 GD Nijmegen, The Netherlands
| | - Bradley Treeby
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Kim Butts Pauly
- Department of Radiology, Stanford University, Stanford, CA, USA.
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4
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Angla C, Chouh H, Mondou P, Toullelan G, Perlin K, Brulon V, De Schlichting E, Larrat B, Gennisson JL, Chatillon S. New semi-analytical method for fast transcranial ultrasonic field simulation. Phys Med Biol 2024; 69:095017. [PMID: 38537292 DOI: 10.1088/1361-6560/ad3882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 03/27/2024] [Indexed: 04/25/2024]
Abstract
Objective.To optimize and ensure the safety of ultrasound brain therapy, personalized transcranial ultrasound simulations are very useful. They allow to predict the pressure field, depending on the patient skull and probe position. Most transcranial ultrasound simulations are based on numerical methods which have a long computation time and a high memory usage. The goal of this study is to develop a new semi-analytical field computation method that combines realism and computation speed.Approach.Instead of the classic ray tracing, the ultrasonic paths are computed by time of flight minimization. Then the pressure field is computed using the pencil method. This method requires a smooth and homogeneous skull model. The simulation algorithm, so-called SplineBeam, was numerically validated, by comparison with existing solvers, and experimentally validated by comparison with hydrophone measured pressure fields through anex vivohuman skull.Main results.SplineBeam simulated pressure fields were close to the experimentally measured ones, with a focus position difference of the order of the positioning error and a maximum pressure difference lower than 6.02%. In addition, for those configurations, SplineBeam computation time was lower than another simulation software, k-Wave's, by two orders of magnitude, thanks to its capacity to compute the field only at the focal spot.Significance.These results show the potential of this new method to compute fast and realistic transcranial pressure fields. The combination of this two assets makes it a promising tool for real time transcranial pressure field prediction during ultrasound brain therapy interventions.
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Affiliation(s)
- C Angla
- Université Paris-Saclay, CEA List, F-91120, Palaiseau, France
- Université Paris-Saclay, CNRS, Inserm, CEA, BioMaps, F-91190, Orsay, France
| | - H Chouh
- Université Paris-Saclay, CEA List, F-91120, Palaiseau, France
| | - P Mondou
- Université Paris-Saclay, CNRS, CEA, Neurospin F-91191, Gif-sur-Yvette, France
| | - G Toullelan
- Université Paris-Saclay, CEA List, F-91120, Palaiseau, France
| | - K Perlin
- Université Paris-Saclay, CEA List, F-91120, Palaiseau, France
| | - V Brulon
- Université Paris-Saclay, CNRS, Inserm, CEA, BioMaps, F-91190, Orsay, France
| | - E De Schlichting
- CHU Grenoble-Alpes, Service de Neurochirurgie, F-38700, Grenoble, France
| | - B Larrat
- Université Paris-Saclay, CNRS, CEA, Neurospin F-91191, Gif-sur-Yvette, France
| | - J-L Gennisson
- Université Paris-Saclay, CNRS, Inserm, CEA, BioMaps, F-91190, Orsay, France
| | - S Chatillon
- Université Paris-Saclay, CEA List, F-91120, Palaiseau, France
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5
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Wang W, Li Z, Yan Y, Wu S, Yao X, Gao C, Liu L, Yu Y. LIPUS-induced neurogenesis:A potential therapeutic strategy for cognitive dysfunction in traumatic brain injury. Exp Neurol 2024; 371:114588. [PMID: 37907126 DOI: 10.1016/j.expneurol.2023.114588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 10/02/2023] [Accepted: 10/25/2023] [Indexed: 11/02/2023]
Abstract
Traumatic brain injury (TBI) precipitates cellular membrane degeneration, phospholipid degradation, neuronal demise, impaired brain electrical activity, and compromised neuroplasticity, ultimately leading to acute and chronic brain dysfunction. Low-intensity pulsed ultrasound (LIPUS) is an emerging brain therapy with the characteristics of non-invasive, high spatial resolution, and high stimulation depth. Herein, we established a controlled cortical impact model to investigate the potential reparative mechanisms of LIPUS in TBI, employing a multi-faceted research methodology encompassing behavioral assessments, immunofluorescence, neuroelectrophysiology, scratch detection of primary cortical neurons, metabolomics and transcriptomics. Our findings demonstrate that LIPUS promotes hippocampal neurogenesis following brain injury, accomplished through the elevation of phosphatidylcholine levels in the hippocampus of TBI mice. Consequently, LIPUS enhances neural electrical activity and augments neural plasticity within the CA1 subregion of the hippocampus, effectively restoring neuronal function and cognitive capabilities in TBI mice. These findings shed light on the promising role of LIPUS in TBI brain rehabilitation, offering new perspectives and theoretical foundations for future studies in this domain.
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Affiliation(s)
- Wenzhu Wang
- China Rehabilitation Science Institute, China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Beijing, PR China; Wenzhou Medical University, Zhejiang, PR China; Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, PR China; Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, PR China
| | - Zihan Li
- China Rehabilitation Science Institute, China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Beijing, PR China; Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, PR China; Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, PR China
| | - Yitong Yan
- China Rehabilitation Science Institute, China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Beijing, PR China; Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, PR China; Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, PR China
| | - Shuo Wu
- First Hospital of Qinhuangdao, Qinhuangdao, Hebei, PR China
| | - Xinyu Yao
- First Hospital of Qinhuangdao, Qinhuangdao, Hebei, PR China
| | - Chen Gao
- China Rehabilitation Science Institute, China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Beijing, PR China; Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, PR China; Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, PR China
| | - Lanxiang Liu
- First Hospital of Qinhuangdao, Qinhuangdao, Hebei, PR China.
| | - Yan Yu
- China Rehabilitation Science Institute, China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Beijing, PR China; Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, PR China; Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, PR China.
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6
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Klein-Flügge MC, Fouragnan EF, Martin E. The importance of acoustic output measurement and monitoring for the replicability of transcranial ultrasonic stimulation studies. Brain Stimul 2024; 17:32-34. [PMID: 38092243 DOI: 10.1016/j.brs.2023.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 12/05/2023] [Accepted: 12/06/2023] [Indexed: 12/21/2023] Open
Affiliation(s)
- Miriam C Klein-Flügge
- Wellcome Centre for Integrative Neuroimaging (WIN), Department of Experimental Psychology, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging (WIN), Centre for Functional MRI of the Brain (FMRIB) and Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK; Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK.
| | - Elsa F Fouragnan
- School of Psychology, Faculty of Health, University of Plymouth, Plymouth, PL4 8AA, UK; Brain Research and Imaging Centre, Faculty of Health, University of Plymouth, Plymouth, PL6 8BU, UK.
| | - Eleanor Martin
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, WC1E 6BT, UK; Department of Medical Physics Biomedical Engineering, University College London, London, WC1E 6BT, UK
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Sigona MK, Manuel TJ, Anthony Phipps M, Boroujeni KB, Treuting RL, Womelsdorf T, Caskey CF. Generating Patient-Specific Acoustic Simulations for Transcranial Focused Ultrasound Procedures Based on Optical Tracking Information. IEEE OPEN JOURNAL OF ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2023; 3:146-156. [PMID: 38222464 PMCID: PMC10785958 DOI: 10.1109/ojuffc.2023.3318560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
Optical tracking is a real-time transducer positioning method for transcranial focused ultrasound (tFUS) procedures, but the predicted focus from optical tracking typically does not incorporate subject-specific skull information. Acoustic simulations can estimate the pressure field when propagating through the cranium but rely on accurately replicating the positioning of the transducer and skull in a simulated space. Here, we develop and characterize the accuracy of a workflow that creates simulation grids based on optical tracking information in a neuronavigated phantom with and without transmission through an ex vivo skull cap. The software pipeline could replicate the geometry of the tFUS procedure within the limits of the optical tracking system (transcranial target registration error (TRE): 3.9 ± 0.7 mm). The simulated focus and the free-field focus predicted by optical tracking had low Euclidean distance errors of 0.5±0.1 and 1.2±0.4 mm for phantom and skull cap, respectively, and some skull-specific effects were captured by the simulation. However, the TRE of simulation informed by optical tracking was 4.6±0.2, which is as large or greater than the focal spot size used by many tFUS systems. By updating the position of the transducer using the original TRE offset, we reduced the simulated TRE to 1.1 ± 0.4 mm. Our study describes a software pipeline for treatment planning, evaluates its accuracy, and demonstrates an approach using MR-acoustic radiation force imaging as a method to improve dosimetry. Overall, our software pipeline helps estimate acoustic exposure, and our study highlights the need for image feedback to increase the accuracy of tFUS dosimetry.
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Affiliation(s)
- Michelle K Sigona
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37212, USA
- Vanderbilt University Institute of Imaging Science, Nashville, TN 37232, USA
| | - Thomas J Manuel
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37212, USA
- Vanderbilt University Institute of Imaging Science, Nashville, TN 37232, USA
| | - M Anthony Phipps
- Vanderbilt University Institute of Imaging Science, Nashville, TN 37232, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | | | - Robert Louie Treuting
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37212, USA
| | - Thilo Womelsdorf
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37212, USA
- Department of Psychology, Vanderbilt University, Nashville, TN 37240, USA
| | - Charles F Caskey
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37212, USA
- Vanderbilt University Institute of Imaging Science, Nashville, TN 37232, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37212, USA
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8
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Ziebell P, Rodrigues J, Forster A, Sanguinetti JL, Allen JJ, Hewig J. Inhibition of midfrontal theta with transcranial ultrasound explains greater approach versus withdrawal behavior in humans. Brain Stimul 2023; 16:1278-1288. [PMID: 37611659 DOI: 10.1016/j.brs.2023.08.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 07/11/2023] [Accepted: 08/16/2023] [Indexed: 08/25/2023] Open
Abstract
Recent reviews highlighted low-intensity transcranial focused ultrasound (TUS) as a promising new tool for non-invasive neuromodulation in basic and applied sciences. Our preregistered double-blind within-subjects study (N = 152) utilized TUS targeting the right prefrontal cortex, which, in earlier work, was found to positively enhance self-reported global mood, decrease negative states of self-reported emotional conflict (anxiety/worrying), and modulate related midfrontal functional magnetic resonance imaging activity in affect regulation brain networks. To further explore TUS effects on objective physiological and behavioral variables, we used a virtual T-maze task that has been established in prior studies to measure motivational conflicts regarding whether participants execute approach versus withdrawal behavior (with free-choice responses via continuous joystick movements) while allowing to record related electroencephalographic data such as midfrontal theta activity (MFT). MFT, a reliable marker of conflict representation on a neuronal level, was of particular interest to us since it has repeatedly been shown to explain related behavior, with relatively low MFT typically preceding approach-like risky behavior and relatively high MFT typically preceding withdrawal-like risk aversion. Our central hypothesis is that TUS decreases MFT in T-maze conflict situations and thereby increases approach and reduces withdrawal. Results indicate that TUS led to significant MFT decreases, which significantly explained increases in approach behavior and decreases in withdrawal behavior. This study expands TUS evidence on a physiological and behavioral level with a large sample size of human subjects, suggesting the promise of further research based on this distinct TUS-MFT-behavior link to influence conflict monitoring and its behavioral consequences. Ultimately, this can serve as a foundation for future clinical work to establish TUS interventions for emotional and motivational mental health.
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Affiliation(s)
- Philipp Ziebell
- University of Würzburg, Department of Psychology I, Marcusstr. 9-11, 97070 Würzburg, Germany.
| | - Johannes Rodrigues
- University of Würzburg, Department of Psychology I, Marcusstr. 9-11, 97070 Würzburg, Germany.
| | - André Forster
- University of Würzburg, Department of Psychology I, Marcusstr. 9-11, 97070 Würzburg, Germany.
| | - Joseph L Sanguinetti
- University of Arizona, Department of Psychology, 1503 E. University Blvd. (Building 68), Tucson (AZ) 85721, USA.
| | - John Jb Allen
- University of Arizona, Department of Psychology, 1503 E. University Blvd. (Building 68), Tucson (AZ) 85721, USA.
| | - Johannes Hewig
- University of Würzburg, Department of Psychology I, Marcusstr. 9-11, 97070 Würzburg, Germany.
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Zhang J, Treyer V, Sun J, Zhang C, Gietl A, Hock C, Razansky D, Nitsch RM, Ni R. Automatic analysis of skull thickness, scalp-to-cortex distance and association with age and sex in cognitively normal elderly. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.19.524484. [PMID: 36711717 PMCID: PMC9882276 DOI: 10.1101/2023.01.19.524484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Personalized neurostimulation has been a potential treatment for many brain diseases, which requires insights into brain/skull geometry. Here, we developed an open source efficient pipeline BrainCalculator for automatically computing the skull thickness map, scalp-to-cortex distance (SCD), and brain volume based on T 1 -weighted magnetic resonance imaging (MRI) data. We examined the influence of age and sex cross-sectionally in 407 cognitively normal older adults (71.9±8.0 years, 60.2% female) from the ADNI. We demonstrated the compatibility of our pipeline with commonly used preprocessing packages and found that BrainSuite Skullfinder was better suited for such automatic analysis compared to FSL Brain Extraction Tool 2 and SPM12- based unified segmentation using ground truth. We found that the sphenoid bone and temporal bone were thinnest among the skull regions in both females and males. There was no increase in regional minimum skull thickness with age except in the female sphenoid bone. No sex difference in minimum skull thickness or SCD was observed. Positive correlations between age and SCD were observed, faster in females (0.307%/y) than males (0.216%/y) in temporal SCD. A negative correlation was observed between age and whole brain volume computed based on brain surface (females -1.031%/y, males -0.998%/y). In conclusion, we developed an automatic pipeline for MR-based skull thickness map, SCD, and brain volume analysis and demonstrated the sex-dependent association between minimum regional skull thickness, SCD and brain volume with age. This pipeline might be useful for personalized neurostimulation planning.
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Affiliation(s)
- Junhao Zhang
- Institute for Regenerative Medicine, University of Zurich, 8952 Zurich, Switzerland
- Institute for Biomedical Engineering, ETH Zurich & University of Zurich, 8093 Zurich, Switzerland
| | - Valerie Treyer
- Institute for Regenerative Medicine, University of Zurich, 8952 Zurich, Switzerland
- Department of Nuclear Medicine, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Junfeng Sun
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Chencheng Zhang
- Department of Neurosurgery, Center for Functional Neurosurgery, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Anton Gietl
- Institute for Regenerative Medicine, University of Zurich, 8952 Zurich, Switzerland
| | - Christoph Hock
- Institute for Regenerative Medicine, University of Zurich, 8952 Zurich, Switzerland
- Neurimmune, Schlieren, Switzerland
| | - Daniel Razansky
- Institute for Biomedical Engineering, ETH Zurich & University of Zurich, 8093 Zurich, Switzerland
| | - Roger M Nitsch
- Institute for Regenerative Medicine, University of Zurich, 8952 Zurich, Switzerland
- Neurimmune, Schlieren, Switzerland
| | - Ruiqing Ni
- Institute for Regenerative Medicine, University of Zurich, 8952 Zurich, Switzerland
- Institute for Biomedical Engineering, ETH Zurich & University of Zurich, 8093 Zurich, Switzerland
- Zentrum für Neurowissenschaften Zurich, Zurich, Switzerland
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