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384 results on '"Rogasch, Nigel C."'

1. TMS Measures Explored by EEG Recordings

Author

Ilmoniemi, Risto J., Rogasch, Nigel C., Casarotto, Silvia, Wassermann, Eric M., book editor, Peterchev, Angel V., book editor, Ziemann, Ulf, book editor, Lisanby, Sarah H., book editor, Siebner, Hartwig R., book editor, and Walsh, Vincent, book editor

Published
2024
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2. Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging

Author

Renton, Angela I., Dao, Thuy T., Johnstone, Tom, Civier, Oren, Sullivan, Ryan P., White, David J., Lyons, Paris, Slade, Benjamin M., Abbott, David F., Amos, Toluwani J., Bollmann, Saskia, Botting, Andy, Campbell, Megan E. J., Chang, Jeryn, Close, Thomas G., Dörig, Monika, Eckstein, Korbinian, Egan, Gary F., Evas, Stefanie, Flandin, Guillaume, Garner, Kelly G., Garrido, Marta I., Ghosh, Satrajit S., Grignard, Martin, Halchenko, Yaroslav O., Hannan, Anthony J., Heinsfeld, Anibal S., Huber, Laurentius, Hughes, Matthew E., Kaczmarzyk, Jakub R., Kasper, Lars, Kuhlmann, Levin, Lou, Kexin, Mantilla-Ramos, Yorguin-Jose, Mattingley, Jason B., Meier, Michael L., Morris, Jo, Narayanan, Akshaiy, Pestilli, Franco, Puce, Aina, Ribeiro, Fernanda L., Rogasch, Nigel C., Rorden, Chris, Schira, Mark M., Shaw, Thomas B., Sowman, Paul F., Spitz, Gershon, Stewart, Ashley W., Ye, Xincheng, Zhu, Judy D., Narayanan, Aswin, and Bollmann, Steffen

Published
2024
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9. ARTIST: A fully automated artifact rejection algorithm for single‐pulse TMS‐EEG data

Author

Wu, Wei, Keller, Corey J, Rogasch, Nigel C, Longwell, Parker, Shpigel, Emmanuel, Rolle, Camarin E, and Etkin, Amit

Subjects
Medical Physiology, Biomedical and Clinical Sciences, Bioengineering, Clinical Research, Neurosciences, Adult, Algorithms, Artifacts, Electroencephalography, Female, Humans, Male, Pattern Recognition, Automated, Signal Processing, Computer-Assisted, Transcranial Magnetic Stimulation, artifact rejection, electroencephalogram, transcranial magnetic stimulation, Cognitive Sciences, Experimental Psychology, Biological psychology, Cognitive and computational psychology
Abstract

Concurrent single-pulse TMS-EEG (spTMS-EEG) is an emerging noninvasive tool for probing causal brain dynamics in humans. However, in addition to the common artifacts in standard EEG data, spTMS-EEG data suffer from enormous stimulation-induced artifacts, posing significant challenges to the extraction of neural information. Typically, neural signals are analyzed after a manual time-intensive and often subjective process of artifact rejection. Here we describe a fully automated algorithm for spTMS-EEG artifact rejection. A key step of this algorithm is to decompose the spTMS-EEG data into statistically independent components (ICs), and then train a pattern classifier to automatically identify artifact components based on knowledge of the spatio-temporal profile of both neural and artefactual activities. The autocleaned and hand-cleaned data yield qualitatively similar group evoked potential waveforms. The algorithm achieves a 95% IC classification accuracy referenced to expert artifact rejection performance, and does so across a large number of spTMS-EEG data sets (n = 90 stimulation sites), retains high accuracy across stimulation sites/subjects/populations/montages, and outperforms current automated algorithms. Moreover, the algorithm was superior to the artifact rejection performance of relatively novice individuals, who would be the likely users of spTMS-EEG as the technique becomes more broadly disseminated. In summary, our algorithm provides an automated, fast, objective, and accurate method for cleaning spTMS-EEG data, which can increase the utility of TMS-EEG in both clinical and basic neuroscience settings.

Published
2018

12. Non-invasive brain stimulation in the treatment of post-stroke aphasia: a scoping review.

Author

Williams, Ellen E. R., Sghirripa, Sabrina, Rogasch, Nigel C., Hordacre, Brenton, and Attrill, Stacie

Subjects
MEDICAL information storage & retrieval systems, RESEARCH funding, BRAIN, CINAHL database, APHASIA, SYSTEMATIC reviews, MEDLINE, ELECTRIC stimulation, LITERATURE reviews, STROKE, ONLINE information services, DISEASE complications
Abstract

Purpose: Aphasia is an acquired language impairment that commonly results from stroke. Non-invasive brain stimulation (NIBS) might accelerate aphasia recovery trajectories and has seen mounting popularity in recent aphasia rehabilitation research. The present review aimed to: (1) summarise all existing literature on NIBS as a post-stroke aphasia treatment; and (2) provide recommendations for future NIBS-aphasia research. Materials and methods: Databases for published and grey literature were searched using scoping review methodology. 278 journal articles, conference abstracts/posters, and books, and 38 items of grey literature, were included for analysis. Results: Quantitative analysis revealed that ipsilesional anodal transcranial direct current stimulation and contralesional 1-Hz repetitive transcranial magnetic stimulation were the most widely used forms of NIBS, while qualitative analysis identified four key themes including: the roles of the hemispheres in aphasia recovery and their relationship with NIBS; heterogeneity of individuals but homogeneity of subpopulations; individualisation of stimulation parameters; and much remains under-explored in the NIBS-aphasia literature. Conclusions: Taken together, these results highlighted systemic challenges across the field such as small sample sizes, inter-individual variability, lack of protocol optimisation/standardisation, and inadequate focus on aphasiology. Four key recommendations are outlined herein to guide future research and refine NIBS methods for post-stroke aphasia treatment. IMPLICATIONS FOR REHABILITATION: A comprehensive review of non-invasive brain stimulation (NIBS) post-stroke aphasia literature, including all study designs, was required. Review of this literature revealed that anodal transcranial direct current stimulation is the mostly commonly used type of NIBS in aphasia treatment research. Systemic challenges across the field hinder prospective translation of NIBS into aphasia practice. Aphasia rehabilitation professionals should note that further research is required before NIBS is suitable for translation into clinical practice. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Clinical utility and prospective of TMS–EEG

Author

Tremblay, Sara, Rogasch, Nigel C., Premoli, Isabella, Blumberger, Daniel M., Casarotto, Silvia, Chen, Robert, Di Lazzaro, Vincenzo, Farzan, Faranak, Ferrarelli, Fabio, Fitzgerald, Paul B., Hui, Jeanette, Ilmoniemi, Risto J., Kimiskidis, Vasilios K., Kugiumtzis, Dimitris, Lioumis, Pantelis, Pascual-Leone, Alvaro, Pellicciari, Maria Concetta, Rajji, Tarek, Thut, Gregor, Zomorrodi, Reza, Ziemann, Ulf, and Daskalakis, Zafiris J.

Published
2019
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34. TMS combined with EEG: Recommendations and open issues for data collection and analysis

Author

Hernandez-Pavon, Julio C., primary, Veniero, Domenica, additional, Bergmann, Til Ole, additional, Belardinelli, Paolo, additional, Bortoletto, Marta, additional, Casarotto, Silvia, additional, Casula, Elias P., additional, Farzan, Faranak, additional, Fecchio, Matteo, additional, Julkunen, Petro, additional, Kallioniemi, Elisa, additional, Lioumis, Pantelis, additional, Metsomaa, Johanna, additional, Miniussi, Carlo, additional, Mutanen, Tuomas P., additional, Rocchi, Lorenzo, additional, Rogasch, Nigel C., additional, Shafi, Mouhsin M., additional, Siebner, Hartwig R., additional, Thut, Gregor, additional, Zrenner, Christoph, additional, Ziemann, Ulf, additional, and Ilmoniemi, Risto J., additional

Published
2023
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35. TMS combined with EEG:Recommendations and open issues for data collection and analysis

Author

Hernandez-Pavon, Julio C., Veniero, Domenica, Bergmann, Til Ole, Belardinelli, Paolo, Bortoletto, Marta, Casarotto, Silvia, Casula, Elias P., Farzan, Faranak, Fecchio, Matteo, Julkunen, Petro, Kallioniemi, Elisa, Lioumis, Pantelis, Metsomaa, Johanna, Miniussi, Carlo, Mutanen, Tuomas P., Rocchi, Lorenzo, Rogasch, Nigel C., Shafi, Mouhsin M., Siebner, Hartwig R., Thut, Gregor, Zrenner, Christoph, Ziemann, Ulf, Ilmoniemi, Risto J., Hernandez-Pavon, Julio C., Veniero, Domenica, Bergmann, Til Ole, Belardinelli, Paolo, Bortoletto, Marta, Casarotto, Silvia, Casula, Elias P., Farzan, Faranak, Fecchio, Matteo, Julkunen, Petro, Kallioniemi, Elisa, Lioumis, Pantelis, Metsomaa, Johanna, Miniussi, Carlo, Mutanen, Tuomas P., Rocchi, Lorenzo, Rogasch, Nigel C., Shafi, Mouhsin M., Siebner, Hartwig R., Thut, Gregor, Zrenner, Christoph, Ziemann, Ulf, and Ilmoniemi, Risto J.

Abstract

Transcranial magnetic stimulation (TMS) evokes neuronal activity in the targeted cortex and connected brain regions. The evoked brain response can be measured with electroencephalography (EEG). TMS combined with simultaneous EEG (TMS−EEG) is widely used for studying cortical reactivity and connectivity at high spatiotemporal resolution. Methodologically, the combination of TMS with EEG is challenging, and there are many open questions in the field. Different TMS−EEG equipment and approaches for data collection and analysis are used. The lack of standardization may affect reproducibility and limit the comparability of results produced in different research laboratories. In addition, there is controversy about the extent to which auditory and somatosensory inputs contribute to transcranially evoked EEG. This review provides a guide for researchers who wish to use TMS−EEG to study the reactivity of the human cortex. A worldwide panel of experts working on TMS−EEG covered all aspects that should be considered in TMS−EEG experiments, providing methodological recommendations (when possible) for effective TMS−EEG recordings and analysis. The panel identified and discussed the challenges of the technique, particularly regarding recording procedures, artifact correction, analysis, and interpretation of the transcranial evoked potentials (TEPs). Therefore, this work offers an extensive overview of TMS−EEG methodology and thus may promote standardization of experimental and computational procedures across groups., Transcranial magnetic stimulation (TMS) evokes neuronal activity in the targeted cortex and connected brain regions. The evoked brain response can be measured with electroencephalography (EEG). TMS combined with simultaneous EEG (TMS−EEG) is widely used for studying cortical reactivity and connectivity at high spatiotemporal resolution. Methodologically, the combination of TMS with EEG is challenging, and there are many open questions in the field. Different TMS−EEG equipment and approaches for data collection and analysis are used. The lack of standardization may affect reproducibility and limit the comparability of results produced in different research laboratories. In addition, there is controversy about the extent to which auditory and somatosensory inputs contribute to transcranially evoked EEG. This review provides a guide for researchers who wish to use TMS−EEG to study the reactivity of the human cortex. A worldwide panel of experts working on TMS−EEG covered all aspects that should be considered in TMS−EEG experiments, providing methodological recommendations (when possible) for effective TMS−EEG recordings and analysis. The panel identified and discussed the challenges of the technique, particularly regarding recording procedures, artifact correction, analysis, and interpretation of the transcranial evoked potentials (TEPs). Therefore, this work offers an extensive overview of TMS−EEG methodology and thus may promote standardization of experimental and computational procedures across groups.

Published
2023

36. Motor cortical excitability and pre-supplementary motor area neurochemistry in healthy adults with substantia nigra hyperechogenicity

Author

Todd, Gabrielle, Rae, Caroline D., Taylor, Janet L., Rogasch, Nigel C., Butler, Jane E., Hayes, Michael, Wilcox, Robert A., Gandevia, Simon C., Aoun, Karl, Esterman, Adrian, Lewis, Simon J. G., Hall, Julie M., Matar, Elie, Godau, Jana, Berg, Daniela, Plewnia, Christian, von Thaler, Anna-Katharina, Chiang, Clarence, Double, Kay L., Todd, Gabrielle, Rae, Caroline D., Taylor, Janet L., Rogasch, Nigel C., Butler, Jane E., Hayes, Michael, Wilcox, Robert A., Gandevia, Simon C., Aoun, Karl, Esterman, Adrian, Lewis, Simon J. G., Hall, Julie M., Matar, Elie, Godau, Jana, Berg, Daniela, Plewnia, Christian, von Thaler, Anna-Katharina, Chiang, Clarence, and Double, Kay L.

Abstract

Substantia nigra (SN) hyperechogenicity, viewed with transcranial ultrasound, is a risk marker for Parkinson's disease. We hypothesized that SN hyperechogenicity in healthy adults aged 50 – 70 years is associated with reduced short-interval intracortical inhibition in primary motor cortex, and that the reduced intracortical inhibition is associated with neurochemical markers of activity in the pre-supplementary motor area (pre-SMA). Short-interval intracortical inhibition and intracortical facilitation in primary motor cortex was assessed with paired-pulse transcranial magnetic stimulation in 23 healthy adults with normal (n = 14; 61 ± 7 yrs) or abnormally enlarged (hyperechogenic; n = 9; 60 ± 6 yrs) area of SN echogenicity. Thirteen of these participants (7 SN − and 6 SN+) also underwent brain magnetic resonance spectroscopy to investigate pre-SMA neurochemistry. There was no relationship between area of SN echogenicity and short-interval intracortical inhibition in the ipsilateral primary motor cortex. There was a significant positive relationship, however, between area of echogenicity in the right SN and the magnitude of intracortical facilitation in the right (ipsilateral) primary motor cortex (p = .005; multivariate regression), evidenced by the amplitude of the conditioned motor evoked potential (MEP) at the 10 – 12 ms interstimulus interval. This relationship was not present on the left side. Pre-SMA glutamate did not predict primary motor cortex inhibition or facilitation. The results suggest that SN hyperechogenicity in healthy older adults may be associated with changes in excitability of motor cortical circuitry. The results advance understanding of brain changes in healthy older adults at risk of Parkinson's disease.

Published
2023

43. Neurodesk: An accessible, flexible, and portable data analysis environment for reproducible neuroimaging

Author

Renton, Angela I., primary, Dao, Thanh Thuy, additional, Abbott, David F., additional, Bollmann, Saskia, additional, Campbell, Megan E. J., additional, Chang, Jeryn, additional, Close, Thomas G., additional, Eckstein, Korbinian, additional, Egan, Gary F., additional, Evas, Stefanie, additional, Garner, Kelly G., additional, Garrido, Marta I., additional, Hannan, Anthony J., additional, Huber, Renzo, additional, Johnstone, Tom, additional, Kaczmarzyk, Jakub R., additional, Kasper, Lars, additional, Kuhlmann, Levin, additional, Lou, Kexin, additional, Lyons, Paris, additional, Mattingley, Jason B., additional, Narayanan, Akshaiy, additional, Pestilli, Franco, additional, Puce, Aina, additional, Ribeiro, Fernanda L., additional, Rogasch, Nigel C., additional, Shaw, Thomas B, additional, Sowman, Paul F., additional, Spitz, Gershon, additional, Stewart, Ashley, additional, Sullivan, Ryan P., additional, White, David J., additional, Ye, Xincheng, additional, Zhu, Judy D., additional, Narayanan, Aswin, additional, and Bollmann, Steffen, additional

Published
2022
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44. Motor cortical excitability and pre‐supplementary motor area neurochemistry in healthy adults with substantia nigra hyperechogenicity

Author

Todd, Gabrielle, primary, Rae, Caroline D., additional, Taylor, Janet L., additional, Rogasch, Nigel C., additional, Butler, Jane E., additional, Hayes, Michael, additional, Wilcox, Robert A., additional, Gandevia, Simon C., additional, Aoun, Karl, additional, Esterman, Adrian, additional, Lewis, Simon J. G., additional, Hall, Julie M., additional, Matar, Elie, additional, Godau, Jana, additional, Berg, Daniela, additional, Plewnia, Christian, additional, von Thaler, Anna‐Katharina, additional, Chiang, Clarence, additional, and Double, Kay L., additional

Published
2022
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45. Personalized brain stimulation of memory networks

Author

Cash, Robin F.H., primary, Hendrikse, Joshua, additional, Fernando, Kavisha B, additional, Thompson, Sarah, additional, Suo, Chao, additional, Fornito, Alex, additional, Yücel, Murat, additional, Rogasch, Nigel C., additional, Zalesky, Andrew, additional, and Coxon, James P., additional

Published
2022
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48. Cover Image

Author

Chung, Sung Wook, Rogasch, Nigel C., Hoy, Kate E., Sullivan, Caley M., Cash, Robin F. H., and Fitzgerald, Paul B.

Published
2018
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