Literature DB >> 25619851

Variability of behavioural responses to transcranial magnetic stimulation: Origins and predictors.

Pierre Nicolo1, Radek Ptak2, Adrian G Guggisberg3.   

Abstract

Transcranial magnetic stimulation (TMS) may modulate the excitability of local cortical stimulation sites and distant functionally interconnected regions for minutes, hours or even days. The effects of TMS suggest that it not only acts on activity of the stimulated area, but also on its connections with remote areas. Due to these properties one of the main rationales for the application of TMS in stroke patients is to improve imbalance in interhemispheric inhibition. However, given that TMS may have excitatory or inhibitory effects the impact of stimulation is not easy to predict. In this review, we discuss the different factors that determine the magnitude and quality of physiological and behavioural responses to TMS. Whether TMS is mainly excitatory or inhibitory not only depends on the parameters of stimulation such as pulse frequency and duration, but also on baseline activity of neural tissue before stimulation, or even on cognitive factors such as attention. A major challenge for the application of TMS as therapy method is to identify predictors of positive effects in individual patients. Neuroimaging studies measuring hemodynamic or electrophysiological responses show that changes in interhemispheric competition or adaptations of functional networks in patients with focal brain lesions may predict the individual response to brain stimulation. Such techniques have the potential to select the most appropriate among different intervention methods for an individual patient.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Attention networks; Brain stimulation; Electroencephalography; Motor cortex; Spatial attention; Transcranial magnetic stimulation

Mesh:

Year:  2015        PMID: 25619851     DOI: 10.1016/j.neuropsychologia.2015.01.033

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  12 in total

Review 1.  Brain networks and their relevance for stroke rehabilitation.

Authors:  Adrian G Guggisberg; Philipp J Koch; Friedhelm C Hummel; Cathrin M Buetefisch
Journal:  Clin Neurophysiol       Date:  2019-04-15       Impact factor: 3.708

2.  Resting state morphology predicts the effect of theta burst stimulation in false belief reasoning.

Authors:  Charlotte E Hartwright; Robert M Hardwick; Ian A Apperly; Peter C Hansen
Journal:  Hum Brain Mapp       Date:  2016-05-16       Impact factor: 5.038

3.  Multiple parietal pathways are associated with rTMS-induced hippocampal network enhancement and episodic memory changes.

Authors:  Michael Freedberg; Catherine A Cunningham; Cynthia M Fioriti; Jorge Murillo; Jack A Reeves; Paul A Taylor; Joelle E Sarlls; Eric M Wassermann
Journal:  Neuroimage       Date:  2021-05-24       Impact factor: 6.556

4.  Reversed Effects of Intermittent Theta Burst Stimulation following Motor Training That Vary as a Function of Training-Induced Changes in Corticospinal Excitability.

Authors:  Tino Stöckel; Jeffery J Summers; Mark R Hinder
Journal:  Neural Plast       Date:  2015-06-17       Impact factor: 3.599

5.  Brain State-Dependent Closed-Loop Modulation of Paired Associative Stimulation Controlled by Sensorimotor Desynchronization.

Authors:  Vladislav Royter; Alireza Gharabaghi
Journal:  Front Cell Neurosci       Date:  2016-05-10       Impact factor: 5.505

6.  Repetitive Transcranial Magnetic Stimulation: A Call for Better Data.

Authors:  Marcus T Wilson; Lynley St George
Journal:  Front Neural Circuits       Date:  2016-08-03       Impact factor: 3.492

7.  Optimizing Hippocampal-Cortical Network Modulation via Repetitive Transcranial Magnetic Stimulation: A Dose-Finding Study Using the Continual Reassessment Method.

Authors:  Michael Freedberg; Jack A Reeves; Andrew C Toader; Molly S Hermiller; Eunhee Kim; Dietrich Haubenberger; Ying Kuen Cheung; Joel L Voss; Eric M Wassermann
Journal:  Neuromodulation       Date:  2019-10-30

8.  Structural Organization of the Corpus Callosum Predicts Attentional Shifts after Continuous Theta Burst Stimulation.

Authors:  Magdalena Chechlacz; Glyn W Humphreys; Stamatios N Sotiropoulos; Christopher Kennard; Dario Cazzoli
Journal:  J Neurosci       Date:  2015-11-18       Impact factor: 6.167

Review 9.  Repetitive transcranial magnetic stimulation as a potential treatment approach for cannabis use disorder.

Authors:  Tonisha Kearney-Ramos; Margaret Haney
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2021-03-04       Impact factor: 5.201

10.  Neurobiological Correlates of Inhibition of the Right Broca Homolog during New-Word Learning.

Authors:  Pierre Nicolo; Raphaël Fargier; Marina Laganaro; Adrian G Guggisberg
Journal:  Front Hum Neurosci       Date:  2016-07-28       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.