• KARM
  • Contact us
  • E-Submission
ABOUT
ARTICLE TYPES
BROWSE ARTICLES
AUTHOR INFORMATION

Page Path

4
results for

"Neuronal plasticity"

Filter

Article category

Keywords

Publication year

Authors

Funded articles

"Neuronal plasticity"

Original Articles

Brain disorders

Low-Frequency Repetitive Transcranial Magnetic Stimulation in the Early Subacute Phase of Stroke Enhances Angiogenic Mechanisms in Rats
Yookyung Lee, Byung-Mo Oh, Sung-Hye Park, Tai Ryoon Han
Ann Rehabil Med 2022;46(5):228-236.   Published online October 31, 2022
DOI: https://doi.org/10.5535/arm.22040
Objective
To characterize the repetitive transcranial magnetic stimulation (rTMS) induced changes in angiogenic mechanisms across different brain regions.
Methods
Seventy-nine adult male Sprague-Dawley rats were subjected to a middle cerebral artery occlusion (day 0) and then treated with 1-Hz, 20-Hz, or sham stimulation of their lesioned hemispheres for 2 weeks. The stimulation intensity was set to 100% of the motor threshold. The neurological function was assessed on days 3, 10, and 17. The infarct volume and angiogenesis were measured by histology, immunohistochemistry, Western blot, and real-time polymerase chain reaction (PCR) assays. Brain tissue was harvested from the ischemic core (IC), ischemic border zone (BZ), and contralateral homologous cortex (CH).
Results
Optical density of angiopoietin1 and synaptophysin in the IC was significantly greater in the low-frequency group than in the sham group (p=0.03 and p=0.03, respectively). The 1-Hz rTMS significantly increased the level of Akt phosphorylation in the BZ (p<0.05 vs. 20 Hz). Endothelial nitric oxide synthase phosphorylation was increased in the IC (p<0.05 vs. 20 Hz), BZ (p<0.05 vs. 20 Hz), and CH (p<0.05 vs. 20 Hz and p<0.05 vs. sham). Real-time PCR demonstrated that low-frequency stimulation significantly increased the transcriptional activity of the TIE2 gene in the IC (p<0.05).
Conclusion
Low-frequency rTMS of the ipsilesional hemisphere in the early subacute phase of stroke promotes the expression of angiogenic factors and related genes in the brain, particularly in the injured area.

Citations

Citations to this article as recorded by  
  • Evaluation of magnetic stimulation as a non-invasive technique in treating different causes of erectile dysfunction: a prospective cohort study
    Hasan El-Fakahany, Haythem Bassyouni, Sameh Fayek GamalEl Din, Mahmoud H. A. Montaser
    Basic and Clinical Andrology.2025;[Epub]     CrossRef
  • Novel emerging therapy for erectile dysfunction: efficacy and safety of flat magnetic stimulation
    Daniel Galimberti, Agustina Vila Echague, Ery A. Ko, Laura Pieri, Alessandra Comito, Irene Fusco, Tiziano Zingoni
    Archivio Italiano di Urologia e Andrologia.2024;[Epub]     CrossRef
  • Determining the Optimal Stimulation Sessions for TMS-Induced Recovery of Upper Extremity Motor Function Post Stroke: A Randomized Controlled Trial
    Yichen Lv, Jack Jiaqi Zhang, Kui Wang, Leilei Ju, Hongying Zhang, Yuehan Zhao, Yao Pan, Jianwei Gong, Xin Wang, Kenneth N. K. Fong
    Brain Sciences.2023; 13(12): 1662.     CrossRef
  • 8,372 View
  • 97 Download
  • 5 Web of Science
  • 3 Crossref
Changes in Diffusion Metrics of the Red Nucleus in Chronic Stroke Patients With Severe Corticospinal Tract Injury: A Preliminary Study
Hanjun Kim, Hoyoung Lee, Kwang-Ik Jung, Suk Hoon Ohn, Woo-Kyoung Yoo
Ann Rehabil Med 2018;42(3):396-405.   Published online June 27, 2018
DOI: https://doi.org/10.5535/arm.2018.42.3.396
Objective
To explore plastic changes in the red nucleus (RN) of stroke patients with severe corticospinal tract (CST) injury as a compensatory mechanism for recovery of hand function.
Methods
The moderate group (MG) comprised 5 patients with synergistic hand grasp movement combined with limited extension, and the severe group (SG) included 5 patients with synergistic hand grasp movement alone. The control group (CG) included 5 healthy subjects. Motor assessment was measured by Motricity Index (MI). Diffusion tensor imaging was analyzed using fractional anisotropy (FA) and radial diffusivity (RD) in the individual regions of interest (ROIs)—bilateral internal capsule and anterior pons for CST injury and bilateral RN for rubrospinal tract (RST) injury.
Results
The SG showed a significantly lower MI score than the MG mainly due to differences in hand subscores. Significantly reduced FA was observed in both MG and SG compared with CG, while SG showed increased MD and RD in the affected ROIs of CST, and increased FA on the unaffected side compared with CG. However, in the RN ROI, a significantly increased FA and decreased RD on the unaffected side similar to the affected side were found only in the SG. The relative index of FA was lower and RD in SG was higher than in CG in RST.
Conclusion
The diffusion metrics of RST showed changes in patients with severe CST injury, suggesting that RST may play a role in the recovery of hand function in patients with severe CST injury.

Citations

Citations to this article as recorded by  
  • Motor Recovery After a Hemispherectomy: Review of Mechanisms and the Potential of Neuromodulation to Enhance Motor Outcomes
    David Bergeron, Dorothy Barthélemy, Aristides Hadjinicolaou, Marco Bonizzato, Marina Martinez, Numa Dancause, Alexander G Weil
    Journal of Child Neurology.2026;[Epub]     CrossRef
  • Insights into the dependence of post-stroke motor recovery on the initial corticospinal tract connectivity from a computational model
    Dongwon Kim, Leah M. O’Shea, Naveed R. Aghamohammadi
    Journal of NeuroEngineering and Rehabilitation.2025;[Epub]     CrossRef
  • Constraint‐Induced Movement Therapy Promotes Contralesional Red Nucleus Plasticity and Increases Bilateral Motor Cortex‐to‐Red Nucleus Projections After a Large‐Area Stroke
    Peile Liu, Jian Hu, Beiyao Gao, Yan Hua, Ying Xing, Yulong Bai, Nan Liu, Yuen Gao
    Behavioural Neurology.2025;[Epub]     CrossRef
  • Red Nucleus Excitatory Neurons Initiate Directional Motor Movement in Mice
    Chenzhao He, Guibo Qi, Xin He, Wenwei Shao, Chao Ma, Zhangfan Wang, Haochuan Wang, Yuntong Tan, Li Yu, Yongsheng Xie, Song Qin, Liang Chen
    Biomedicines.2025; 13(8): 1943.     CrossRef
  • Compensatory Hyperactivity of the Ipsilesional Red Nucleus in a Patient With Somatosensory Cortex Damage: A Case Report
    Jeongeun Lee, Eunjee Lee, Shahid Bashir, Gyu Jin Kim, Suk Hoon Ohn, Kwang-Ik Jung, Woo-Kyoung Yoo
    Brain & Neurorehabilitation.2023;[Epub]     CrossRef
  • Microstructure and Genetic Polymorphisms: Role in Motor Rehabilitation After Subcortical Stroke
    Jingchun Liu, Caihong Wang
    Frontiers in Aging Neuroscience.2022;[Epub]     CrossRef
  • Immediate and short-term effects of continuous theta burst transcranial magnetic stimulation over contralesional premotor area on post-stroke spasticity in patients with severe hemiplegia: Study protocol for a randomized controlled trial
    Xiupan Wei, Nan Xia, Yang-An Li, Minghui Gu, Tongming Zhang, Wei Gao, Yali Liu
    Frontiers in Neurology.2022;[Epub]     CrossRef
  • Restoring After Central Nervous System Injuries: Neural Mechanisms and Translational Applications of Motor Recovery
    Zhengrun Gao, Zhen Pang, Yiming Chen, Gaowei Lei, Shuai Zhu, Guotao Li, Yundong Shen, Wendong Xu
    Neuroscience Bulletin.2022; 38(12): 1569.     CrossRef
  • Red nucleus structure and function: from anatomy to clinical neurosciences
    Gianpaolo Antonio Basile, Marina Quartu, Salvatore Bertino, Maria Pina Serra, Marianna Boi, Alessia Bramanti, Giuseppe Pio Anastasi, Demetrio Milardi, Alberto Cacciola
    Brain Structure and Function.2021; 226(1): 69.     CrossRef
  • Is there a doctor on the plane? A review of in-flight emergencies for the on-board radiologist
    Jason D. Vadhan, Karuna M. Raj, Sean D. Raj
    Clinical Imaging.2021; 76: 265.     CrossRef
  • Corticospinal vs Rubrospinal Revisited: An Evolutionary Perspective for Sensorimotor Integration
    Rafael Olivares-Moreno, Paola Rodriguez-Moreno, Veronica Lopez-Virgen, Martín Macías, Moisés Altamira-Camacho, Gerardo Rojas-Piloni
    Frontiers in Neuroscience.2021;[Epub]     CrossRef
  • Upper and Lower Limb Motor Function Correlates with Ipsilesional Corticospinal Tract and Red Nucleus Structural Integrity in Chronic Stroke: A Cross-Sectional, ROI-Based MRI Study
    Denise M. Peters, Julius Fridriksson, Jessica D. Richardson, Jill C. Stewart, Chris Rorden, Leonardo Bonilha, Addie Middleton, Stacy L. Fritz, Nicola Tambasco
    Behavioural Neurology.2021; 2021: 1.     CrossRef
  • Role of Cortico-ponto-cerebellar Tract from Supplementary Motor Area in Ataxic Hemiparesis of Supratentorial Stroke Patients
    Nayeon Ko, Hyun Haeng Lee, Kyungmin Kim, Bo-Ram Kim, Won-Jin Moon, Jongmin Lee
    Brain & Neurorehabilitation.2021;[Epub]     CrossRef
  • Denoise magnitude diffusion magnetic resonance images via variance-stabilizing transformation and optimal singular-value manipulation
    Xiaodong Ma, Kâmil Uğurbil, Xiaoping Wu
    NeuroImage.2020; 215: 116852.     CrossRef
  • A Review of Exercise-Induced Neuroplasticity in Ischemic Stroke: Pathology and Mechanisms
    Ying Xing, Yulong Bai
    Molecular Neurobiology.2020; 57(10): 4218.     CrossRef
  • Rudimentary Dexterity Corresponds With Reduced Ability to Move in Synergy After Stroke: Evidence of Competition Between Corticoreticulospinal and Corticospinal Tracts?
    Merav R. Senesh, Karina Barragan, David J. Reinkensmeyer
    Neurorehabilitation and Neural Repair.2020; 34(10): 904.     CrossRef
  • Intact microstructure of the right corticostriatal pathway predicts creative ability in healthy adults
    Farzaneh Rahmani, Hossein Sanjari Moghaddam, Mohammad Hadi Aarabi
    Brain and Behavior.2020;[Epub]     CrossRef
  • The cortico-rubral and cerebello-rubral pathways are topographically organized within the human red nucleus
    Alberto Cacciola, Demetrio Milardi, Gianpaolo Antonio Basile, Salvatore Bertino, Alessandro Calamuneri, Gaetana Chillemi, Giuseppe Paladina, Federica Impellizzeri, Fabio Trimarchi, Giuseppe Anastasi, Alessia Bramanti, Giuseppina Rizzo
    Scientific Reports.2019;[Epub]     CrossRef
  • Differential involvement of rubral branches in chronic capsular and pontine stroke
    Jun Guo, Jingchun Liu, Caihong Wang, Chen Cao, Lejun Fu, Tong Han, Jingliang Cheng, Chunshui Yu, Wen Qin
    NeuroImage: Clinical.2019; 24: 102090.     CrossRef
  • 10,153 View
  • 132 Download
  • 17 Web of Science
  • 19 Crossref
Change of Brain Functional Connectivity in Patients With Spinal Cord Injury: Graph Theory Based Approach
Yu-Sun Min, Yongmin Chang, Jang Woo Park, Jong-Min Lee, Jungho Cha, Jin-Ju Yang, Chul-Hyun Kim, Jong-Moon Hwang, Ji-Na Yoo, Tae-Du Jung
Ann Rehabil Med 2015;39(3):374-383.   Published online June 30, 2015
DOI: https://doi.org/10.5535/arm.2015.39.3.374
Objective

To investigate the global functional reorganization of the brain following spinal cord injury with graph theory based approach by creating whole brain functional connectivity networks from resting state-functional magnetic resonance imaging (rs-fMRI), characterizing the reorganization of these networks using graph theoretical metrics and to compare these metrics between patients with spinal cord injury (SCI) and age-matched controls.

Methods

Twenty patients with incomplete cervical SCI (14 males, 6 females; age, 55±14.1 years) and 20 healthy subjects (10 males, 10 females; age, 52.9±13.6 years) participated in this study. To analyze the characteristics of the whole brain network constructed with functional connectivity using rs-fMRI, graph theoretical measures were calculated including clustering coefficient, characteristic path length, global efficiency and small-worldness.

Results

Clustering coefficient, global efficiency and small-worldness did not show any difference between controls and SCIs in all density ranges. The normalized characteristic path length to random network was higher in SCI patients than in controls and reached statistical significance at 12%-13% of density (p<0.05, uncorrected).

Conclusion

The graph theoretical approach in brain functional connectivity might be helpful to reveal the information processing after SCI. These findings imply that patients with SCI can build on preserved competent brain control. Further analyses, such as topological rearrangement and hub region identification, will be needed for better understanding of neuroplasticity in patients with SCI.

Citations

Citations to this article as recorded by  
  • Longitudinal Changes in Brain Network Metrics and Their Correlations with Spinal Cord Diffusion Tensor Imaging Parameters Following Spinal Cord Injury and Regenerative Therapy
    Ting Feng, Can Zhao, Wen-Nan Su, Yi-Meng Gao, Yuan-Yuan Wu, Wen Zhao, Jia-Sheng Rao, Zhao-Yang Yang, Xiao-Guang Li
    Biomedicines.2025; 13(12): 3124.     CrossRef
  • Brain Networks With Modified Connectivity in Patients With Neuropathic Pain and Spinal Cord Injury
    Muhammad A. Hasan, Parisa Sattar, Saad A. Qazi, Matthew Fraser, Aleksandra Vuckovic
    Clinical EEG and Neuroscience.2024; 55(1): 88.     CrossRef
  • Long ascending propriospinal neurons are heterogenous and subject to spinal cord injury induced anatomic plasticity
    Brandon L. Brown, Neha Anil, Gregory States, Scott R. Whittemore, David S.K. Magnuson
    Experimental Neurology.2024; 373: 114631.     CrossRef
  • The Impact of Mental Activities and Age on Brain Network: An Analysis From Complex Network Perspective
    Cemre Candemir, Vahid Khalilpour Akram, Ali Saffet Gonul
    IEEE Transactions on Emerging Topics in Computational Intelligence.2024; 8(4): 2791.     CrossRef
  • Neuromodulation with transcranial direct current stimulation contributes to motor function recovery via microglia in spinal cord injury
    Ryotaro Oishi, Ikuko Takeda, Yukihito Ode, Yuya Okada, Daisuke Kato, Hiroaki Nakashima, Shiro Imagama, Hiroaki Wake
    Scientific Reports.2024;[Epub]     CrossRef
  • Brain Network Alterations in Chronic Spinal Cord Injury: Multilayer Community Detection Approach
    Farzad V. Farahani, Lukman E. Ismaila, Cristina L. Sadowsky, Haris I. Sair, Li Min Chen, Visar Belegu, James J. Pekar, Martin A. Lindquist, Ann S. Choe
    Neurotrauma Reports.2024;[Epub]     CrossRef
  • Different macaque brain network remodeling after spinal cord injury and NT3 treatment
    Ting Feng, Can Zhao, Jia-Sheng Rao, Xiao-Jun Guo, Shu-Sheng Bao, Le-Wei He, Wen Zhao, Zuxiang Liu, Zhao-Yang Yang, Xiao-Guang Li
    iScience.2023; 26(6): 106784.     CrossRef
  • One-Dimensional Local Binary Pattern and Common Spatial Pattern Feature Fusion Brain Network for Central Neuropathic Pain
    Fangzhou Xu, Chongfeng Wang, Xin Yu, Jinzhao Zhao, Ming Liu, Jiaqi Zhao, Licai Gao, Xiuquan Jiang, Zhaoxin Zhu, Yongjian Wu, Dezheng Wang, Shanxin Feng, Sen Yin, Yang Zhang, Jiancai Leng
    International Journal of Neural Systems.2023;[Epub]     CrossRef
  • A shift of brain network hub after spinal cord injury
    Kohei Matsubayashi, Munehisa Shinozaki, Junichi Hata, Yuji Komaki, Narihito Nagoshi, Osahiko Tsuji, Kanehiro Fujiyoshi, Masaya Nakamura, Hideyuki Okano
    Frontiers in Molecular Neuroscience.2023;[Epub]     CrossRef
  • Functional connectivity and amplitude of low-frequency fluctuations changes in people with complete subacute and chronic spinal cord injury
    Vanessa Vallesi, Johannes K. Richter, Nadine Hunkeler, Mihael Abramovic, Claus Hashagen, Ernst Christiaanse, Ganesh Shetty, Rajeev K. Verma, Markus Berger, Angela Frotzler, Heidrun Eisenlohr, Inge Eriks-Hoogland, Anke Scheel-Sailer, Lars Michels, Patrik O
    Scientific Reports.2022;[Epub]     CrossRef
  • Robotic Rehabilitation in Spinal Cord Injury: A Pilot Study on End-Effectors and Neurophysiological Outcomes
    Rocco Salvatore Calabrò, Serena Filoni, Luana Billeri, Tina Balletta, Antonino Cannavò, Angela Militi, Demetrio Milardi, Loris Pignolo, Antonino Naro
    Annals of Biomedical Engineering.2021; 49(2): 732.     CrossRef
  • Cerebellar contribution to sensorimotor adaptation deficits in humans with spinal cord injury
    Yuming Lei, Monica A. Perez
    Scientific Reports.2021;[Epub]     CrossRef
  • Altered Topological Properties of Grey Matter Structural Covariance Networks in Complete Thoracic Spinal Cord Injury Patients: A Graph Theoretical Network Analysis
    Wen-Li Wang, Yu-Lin Li, Mou-Xiong Zheng, Xu-Yun Hua, Jia-Jia Wu, Fei-Fei Yang, Nan Yang, Xia He, Li-Juan Ao, Jian-Guang Xu, Feng Liu
    Neural Plasticity.2021; 2021: 1.     CrossRef
  • Graph theoretical structural connectome analysis of the brain in patients with chronic spinal cord injury: preliminary investigation
    Mahdi Alizadeh, Arichena R. Manmatharayan, Therese Johnston, Sara Thalheimer, Margaret Finley, Megan Detloff, Ashwini Sharan, James Harrop, Andrew Newburg, Laura Krisa, Feroze B. Mohamed
    Spinal Cord Series and Cases.2021;[Epub]     CrossRef
  • Resting-State Functional Connectivity of the Thalamus in Complete Spinal Cord Injury
    Keerthana Deepti Karunakaran, Rui Yuan, Jie He, Jian Zhao, Jian-Ling Cui, Yu-Feng Zang, Zhong Zhang, Tara L. Alvarez, Bharat B. Biswal
    Neurorehabilitation and Neural Repair.2020; 34(2): 122.     CrossRef
  • Disentangling the Effects of Spinal Cord Injury and Related Neuropathic Pain on Supraspinal Neuroplasticity: A Systematic Review on Neuroimaging
    Vincent Huynh, Jan Rosner, Armin Curt, Spyros Kollias, Michèle Hubli, Lars Michels
    Frontiers in Neurology.2020;[Epub]     CrossRef
  • Divergent Findings in Brain Reorganization After Spinal Cord Injury: A Review
    Mariana Cardoso Melo, Dhainner Rocha Macedo, Alcimar Barbosa Soares
    Journal of Neuroimaging.2020; 30(4): 410.     CrossRef
  • A Distance-Based Neurorehabilitation Evaluation Method Using Linear SVM and Resting-State fMRI
    Yunxiang Ge, Yu Pan, Qiong Wu, Weibei Dou
    Frontiers in Neurology.2019;[Epub]     CrossRef
  • Brain changes after spinal cord injury, a quantitative meta-analysis and review
    Linda Solstrand Dahlberg, Lino Becerra, David Borsook, Clas Linnman
    Neuroscience & Biobehavioral Reviews.2018; 90: 272.     CrossRef
  • Functional Brain Connectivity during Multiple Motor Imagery Tasks in Spinal Cord Injury
    Alkinoos Athanasiou, Nikos Terzopoulos, Niki Pandria, Ioannis Xygonakis, Nicolas Foroglou, Konstantinos Polyzoidis, Panagiotis D. Bamidis
    Neural Plasticity.2018; 2018: 1.     CrossRef
  • Sensor Level Functional Connectivity Topography Comparison Between Different References Based EEG and MEG
    Yunzhi Huang, Junpeng Zhang, Yuan Cui, Gang Yang, Qi Liu, Guangfu Yin
    Frontiers in Behavioral Neuroscience.2018;[Epub]     CrossRef
  • Targeted-Plasticity in the Corticospinal Tract After Human Spinal Cord Injury
    Lasse Christiansen, Monica A. Perez
    Neurotherapeutics.2018; 15(3): 618.     CrossRef
  • Resting-State Functional Magnetic Resonance Imaging Connectivity of the Brain Is Associated with Altered Sensorimotor Function in Patients with Cervical Spondylosis
    Davis C. Woodworth, Langston T. Holly, Noriko Salamon, Benjamin M. Ellingson
    World Neurosurgery.2018; 119: e740.     CrossRef
  • Effect of coil orientation on motor‐evoked potentials in humans with tetraplegia
    Hang Jin Jo, Vincenzo Di Lazzaro, Monica A. Perez
    The Journal of Physiology.2018; 596(20): 4909.     CrossRef
  • Assessing cortical plasticity after spinal cord injury by using resting-state functional magnetic resonance imaging in awake adult mice
    Kohei Matsubayashi, Narihito Nagoshi, Yuji Komaki, Kota Kojima, Munehisa Shinozaki, Osahiko Tsuji, Akio Iwanami, Ryosuke Ishihara, Norio Takata, Morio Matsumoto, Masaru Mimura, Hideyuki Okano, Masaya Nakamura
    Scientific Reports.2018;[Epub]     CrossRef
  • Small world properties changes in mild traumatic brain injury
    Yongxia Zhou
    Journal of Magnetic Resonance Imaging.2017; 46(2): 518.     CrossRef
  • Evaluation of Whole-Brain Resting-State Functional Connectivity in Spinal Cord Injury: A Large-Scale Network Analysis Using Network-Based Statistic
    Mayank Kaushal, Akinwunmi Oni-Orisan, Gang Chen, Wenjun Li, Jack Leschke, B. Douglas Ward, Benjamin Kalinosky, Matthew D. Budde, Brian D. Schmit, Shi-Jiang Li, Vaishnavi Muqeet, Shekar N. Kurpad
    Journal of Neurotrauma.2017; 34(6): 1278.     CrossRef
  • Large-Scale Network Analysis of Whole-Brain Resting-State Functional Connectivity in Spinal Cord Injury: A Comparative Study
    Mayank Kaushal, Akinwunmi Oni-Orisan, Gang Chen, Wenjun Li, Jack Leschke, Doug Ward, Benjamin Kalinosky, Matthew Budde, Brian Schmit, Shi-Jiang Li, Vaishnavi Muqeet, Shekar Kurpad
    Brain Connectivity.2017; 7(7): 413.     CrossRef
  • A Systematic Review of Investigations into Functional Brain Connectivity Following Spinal Cord Injury
    Alkinoos Athanasiou, Manousos A. Klados, Niki Pandria, Nicolas Foroglou, Kyriaki R. Kavazidi, Konstantinos Polyzoidis, Panagiotis D. Bamidis
    Frontiers in Human Neuroscience.2017;[Epub]     CrossRef
  • 10,475 View
  • 77 Download
  • 31 Web of Science
  • 29 Crossref
Reduction of Continuous Theta Burst Stimulation-Induced Motor Plasticity in Healthy Elderly With COMT Val158Met Polymorphism
Nam Jae Lee, Hyun Jung Ahn, Kwang-Ik Jung, Suk Hoon Ohn, Jeonghoon Hong, Yun Joong Kim, Woo-Kyoung Yoo
Ann Rehabil Med 2014;38(5):658-664.   Published online October 30, 2014
DOI: https://doi.org/10.5535/arm.2014.38.5.658
Objective

To delineate whether cortical plasticity induced by continuous theta burst stimulation (cTBS) differed according to catechol-O-methyltransferase (COMT) gene polymorphism in healthy older adults.

Methods

Eighteen healthy older volunteers (mean age 73.78±5.04; 12 females and 6 males) were recruited. Volunteers randomly assigned in either a sham-first or real cTBS first group participated in two separate TMS visits with at least a 2-day wash-out period. Genotyping was carried out at baseline by a separate researcher who was blinded. cTBS was delivered in a hot spot over M1 at an active motor threshold of 80%. Motor evoked potentials (MEPs) were obtained at 120% of the resting motor threshold before and after sham/cTBS.

Results

The relative MEP to baseline was significantly decreased 0 and 10 minutes post-stimulation and increased 40 minutes post-stimulation, as compared with the sham condition. Immediately after cTBS, the Val/Val group had a significantly reduced relative MEP value, as compared with the MET carrier group.

Conclusion

In healthy older persons, cTBS-induced motor plasticity was reduced in the COMT Val/Val group as compared with the 158Met carrier group.

Citations

Citations to this article as recorded by  
  • Age-related changes in responsiveness to non-invasive brain stimulation neuroplasticity paradigms: A systematic review with meta-analysis
    Mahima Shah, Suraj Suresh, Johanna Paddick, Maddison L. Mellow, Amy Rees, Carolyn Berryman, Tasha R. Stanton, Ashleigh E. Smith
    Clinical Neurophysiology.2024; 162: 53.     CrossRef
  • Assessing the mechanisms of brain plasticity by transcranial magnetic stimulation
    Ali Jannati, Lindsay M. Oberman, Alexander Rotenberg, Alvaro Pascual-Leone
    Neuropsychopharmacology.2023; 48(1): 191.     CrossRef
  • Correlations between COMT polymorphism and brain structure and cognition in elderly subjects
    Eunsil Cha, Hyun Jung Ahn, Wonil Kang, Kwang-Ik Jung, Suk Hoon Ohn, Shahid Bashir, Woo-Kyoung Yoo
    Medicine.2022; 101(18): e29214.     CrossRef
  • Identifying novel biomarkers with TMS-EEG – Methodological possibilities and challenges
    Elisa Kallioniemi, Zafiris J. Daskalakis
    Journal of Neuroscience Methods.2022; 377: 109631.     CrossRef
  • Cortical hyperexcitability and plasticity in Alzheimer’s disease: developments in understanding and management
    Mehdi A. J van den Bos, Parvathi Menon, Steve Vucic
    Expert Review of Neurotherapeutics.2022; 22(11-12): 981.     CrossRef
  • Determining the optimal pulse number for theta burst induced change in cortical excitability
    Daniel M. McCalley, Daniel H. Lench, Jade D. Doolittle, Julia P. Imperatore, Michaela Hoffman, Colleen A. Hanlon
    Scientific Reports.2021;[Epub]     CrossRef
  • Modulation of motor cortical excitability by continuous theta-burst stimulation in adults with autism spectrum disorder
    Ali Jannati, Mary A. Ryan, Gabrielle Block, Fae B. Kayarian, Lindsay M. Oberman, Alexander Rotenberg, Alvaro Pascual-Leone
    Clinical Neurophysiology.2021; 132(7): 1647.     CrossRef
  • Large-scale analysis of interindividual variability in single and paired-pulse TMS data
    Daniel T. Corp, Hannah G.K. Bereznicki, Gillian M. Clark, George J. Youssef, Peter J. Fried, Ali Jannati, Charlotte B. Davies, Joyce Gomes-Osman, Melissa Kirkovski, Natalia Albein-Urios, Paul B. Fitzgerald, Giacomo Koch, Vincenzo Di Lazzaro, Alvaro Pascua
    Clinical Neurophysiology.2021; 132(10): 2639.     CrossRef
  • A Checklist to Reduce Response Variability in Studies Using Transcranial Magnetic Stimulation for Assessment of Corticospinal Excitability: A Systematic Review of the Literature
    Michael Pellegrini, Maryam Zoghi, Shapour Jaberzadeh
    Brain Connectivity.2020; 10(2): 53.     CrossRef
  • Cognitive Enhancement via Neuromodulation and Video Games: Synergistic Effects?
    Marc Palaus, Raquel Viejo-Sobera, Diego Redolar-Ripoll, Elena M. Marrón
    Frontiers in Human Neuroscience.2020;[Epub]     CrossRef
  • Large-scale analysis of interindividual variability in theta-burst stimulation data: Results from the ‘Big TMS Data Collaboration’
    Daniel T. Corp, Hannah G.K. Bereznicki, Gillian M. Clark, George J. Youssef, Peter J. Fried, Ali Jannati, Charlotte B. Davies, Joyce Gomes-Osman, Julie Stamm, Sung Wook Chung, Steven J. Bowe, Nigel C. Rogasch, Paul B. Fitzgerald, Giacomo Koch, Vincenzo Di
    Brain Stimulation.2020; 13(5): 1476.     CrossRef
  • Age-related differences of motor cortex plasticity in adults: A transcranial direct current stimulation study
    Ensiyeh Ghasemian-Shirvan, Leila Farnad, Mohsen Mosayebi-Samani, Stefanie Verstraelen, Raf L.J. Meesen, Min-Fang Kuo, Michael A. Nitsche
    Brain Stimulation.2020; 13(6): 1588.     CrossRef
  • Genetic influences on the variability of response to repetitive transcranial magnetic stimulation in human pharyngeal motor cortex
    Alicja Raginis‐Zborowska, Ivy Cheng, Neil Pendleton, Antony Payton, William Ollier, Emilia Michou, Shaheen Hamdy
    Neurogastroenterology & Motility.2019;[Epub]     CrossRef
  • Variability and Predictors of Response to Continuous Theta Burst Stimulation: A TMS-EEG Study
    Lorenzo Rocchi, Jaime Ibáñez, Alberto Benussi, Ricci Hannah, Vishal Rawji, Elias Casula, John Rothwell
    Frontiers in Neuroscience.2018;[Epub]     CrossRef
  • Interindividual variability in response to continuous theta-burst stimulation in healthy adults
    Ali Jannati, Gabrielle Block, Lindsay M. Oberman, Alexander Rotenberg, Alvaro Pascual-Leone
    Clinical Neurophysiology.2017; 128(11): 2268.     CrossRef
  • Genetic polymorphisms and the adequacy of brain stimulation: state of the art
    Amene Saghazadeh, Shadi A. Esfahani, Nima Rezaei
    Expert Review of Neurotherapeutics.2016; 16(9): 1043.     CrossRef
  • Ten Years of Theta Burst Stimulation in Humans: Established Knowledge, Unknowns and Prospects
    A. Suppa, Y.-Z. Huang, K. Funke, M.C. Ridding, B. Cheeran, V. Di Lazzaro, U. Ziemann, J.C. Rothwell
    Brain Stimulation.2016; 9(3): 323.     CrossRef
  • 6,434 View
  • 55 Download
  • 18 Web of Science
  • 17 Crossref
TOP