Article
Physiology
Clara Pfenninger, Nathan Grosboillot, Guillaume Digonet, Thomas Lapole
Summary: This study aims to investigate the acute effects of prolonged local vibration on central nervous system excitability. The results suggest that vibration applied to the muscle, whether in a relaxed or contracted state, can decrease motoneuronal excitability and increase cortical excitability.
FRONTIERS IN PHYSIOLOGY
(2023)
Article
Clinical Neurology
Vincenzo Rizzo, Carmen Terranova, Giovanni Raffa, Salvatore Massimiliano Cardali, Filippo Flavio Angileri, Giuseppina Marzano, Maria Catena Quattropani, Antonino Germano, Paolo Girlanda, Angelo Quartarone
Summary: Brain tumors can lead to abnormal cortical excitability in affected hemispheres, with decreased SICI, ICF, and SAI. Further research is needed to investigate the relationship between cortical excitability and motor impairment in these patients.
FRONTIERS IN NEUROLOGY
(2021)
Article
Multidisciplinary Sciences
Akiyoshi Matsugi, Satoru Nishishita, Kyota Bando, Yutaka Kikuchi, Keigo Tsujimoto, Yuto Tanabe, Naoki Yoshida, Hiroaki Tanaka, Shinya Douchi, Takeru Honda, Masato Odagaki, Hideki Nakano, Yohei Okada, Nobuhiko Mori, Koichi Hosomi
Summary: This study aimed to investigate abnormalities in inhibitory cortical excitability and motor control during ballistic-targeting movements in individuals with degenerative cerebellar ataxia (DCA). The results indicated that individuals with DCA showed longer cortical silent period (cSP), suggesting excessive activity in the inhibitory cortical circuit. However, this increase in inhibitory activity did not contribute to the control of ballistic-targeting movements and did not correlate with the severity of ataxia. These findings contribute to our understanding of motor control abnormalities in people with DCA and provide potential evidence for further research in this area.
SCIENTIFIC REPORTS
(2023)
Article
Clinical Neurology
Sangtae Ahn, Flavio Frohlich
Summary: This study provides causal evidence that the early TEP components reflect cortical reactivity to TMS, with the earliest component localized to the left M1, the following components mainly localized to the primary somatosensory cortex, and the later components largely localized to the auditory cortex. Transcranial direct current stimulation selectively modulated cortical and corticospinal excitability by modulating the pre-stimulus mu-rhythm oscillatory power.
Article
Clinical Neurology
Santosh A. Helekar, Jason Thonhoff, Blessy S. John, Lisa Nguyen, David B. Rosenfield, Stanley H. Appel
Summary: This study used a newly developed wearable transcranial rotating permanent magnet stimulator to measure the modulation of spontaneous motor unit potentials in hand muscles of patients with amyotrophic lateral sclerosis. The results showed a correlation between the modulation and the severity of the disease.
JOURNAL OF NEUROLOGY
(2022)
Article
Psychiatry
Noomane Bouaziz, Charles Laidi, Fanny Thomas, Palmyre Schenin-King Andrianisaina, Virginie Moulier, Dominique Januel
Summary: This study did not find any effect of repetitive iTBS targeting the L-DLPFC on cortical excitability, based on a randomized double-blind, sham-controlled trial with 30 healthy volunteers.
FRONTIERS IN PSYCHIATRY
(2021)
Review
Engineering, Biomedical
Zhongfei Bai, Jiaqi Zhang, Kenneth N. K. Fong
Summary: This study systematically reviewed the effects of different transcranial magnetic stimulation protocols on cortical excitability in stroke patients. The results showed that most protocols were effective in modulating cortical excitability, except for continuous theta burst stimulation. In particular, inhibitory stimulation had positive effects on the affected motor cortex.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2022)
Article
Clinical Neurology
Iuri Santana Neville, Alexandra Gomes dos Santos, Cesar Cimonari Almeida, Cintya Yukie Hayashi, Davi Jorge Fontoura Solla, Ricardo Galhardoni, Daniel Ciampi de Andrade, Andre Russowsky Brunoni, Manoel Jacobsen Teixeira, Wellingson Silva Paiva
Summary: This study utilized nTMS to evaluate cortical excitability in brain hemispheres affected by tumors, finding abnormal CE patterns and distinct features in patients with GBM. Tumor biological behavior may play a role in these changes.
FRONTIERS IN NEUROLOGY
(2021)
Article
Neurosciences
Lucero Aceves-Serrano, Jason L. Neva, Jonathan Munro, Martin Parent, Lara A. Boyd, Doris J. Doudet
Summary: The long-term therapeutic effects of TBS may be facilitated through the modulation of neurotransmission systems beyond the dopamine system.
EXPERIMENTAL NEUROLOGY
(2022)
Review
Cell Biology
Ying-hui Chou, Mark Sundman, Viet Ton That, Jacob Green, Chrisopher Trapani
Summary: The meta-analysis demonstrates the potential of using TMS-derived cortical excitability and plasticity measures as diagnostic biomarkers and therapeutic targets for AD and MCI.
AGEING RESEARCH REVIEWS
(2022)
Article
Multidisciplinary Sciences
Mario Paci, Giulio Di Cosmo, Mauro Gianni Perrucci, Francesca Ferri, Marcello Costantini
Summary: Inhibitory control is the ability to suppress inappropriate movements and unwanted actions. Individual differences in intracortical inhibition within M1 may contribute to behavioral differences in actual inhibitory capacities, as reflected by the correlation between GABA(B)ergic-mediated inhibition and action stopping abilities.
SCIENTIFIC REPORTS
(2021)
Article
Neurosciences
Martin Tik, Maria Vasileiadi, Michael Woletz, David Linhardt, Anna-Lisa Schuler, Nolan Williams, Christian Windischberger
Summary: This study aims to establish the dose-response relationship of DLPFC stimulation through concurrent TMS/fMRI. The study found qualitative inter-subject variability in the dose-response relationship to TMS over left DLPFC, suggesting that the motor threshold may not be directly transferable to the excitability of the DLPFC. Therefore, concurrent TMS/fMRI may have the potential to improve response rates to TMS applications.
Article
Biology
Hyeyeon Chung, Cheolki Im, Hyeon Seo, Sung Chan Jun
Summary: Transcranial electrode stimulation (tES) is a non-invasive brain stimulation technique that modulates cortical activities by delivering weak electric currents through scalp-attached electrodes. The direction and magnitude of the electric field (EF) are crucial factors determining the cortical response to tES. This study, using a multi-scale model, demonstrates the importance of neuronal morphology and biophysical properties in predicting the cellular targets of non-invasive brain stimulation.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Clinical Neurology
Sinan Yasaroglu, Joachim Liepert
Summary: This study aimed to characterize the changes in motor excitability and motor performance induced by a single session of anodal and cathodal transcranial direct current stimulation (tDCS) in stroke patients. The results showed that anodal tDCS significantly reduced short interval intracortical inhibition (SICI) without affecting intracortical facilitation (ICF) or long interval intracortical inhibition (LICI). Cathodal tDCS did not change motor excitability. Both types of tDCS did not alter motor performance. The SICI in the affected hemisphere was lower than in the unaffected hemisphere even before anodal tDCS, and it was correlated with changes in motor performance after anodal tDCS.
CLINICAL NEUROPHYSIOLOGY
(2022)
Article
Neurosciences
Zhengchen Cai, Giovanni Pellegrino, Jean-Marc Lina, Habib Benali, Christophe Grova
Summary: This study investigates the effects of paired associative stimulation on cortical excitability and task-related hemodynamic responses, and finds a positive correlation between them. The findings have important implications for understanding the fundamental properties of cortical function and excitability.
HUMAN BRAIN MAPPING
(2023)
Article
Behavioral Sciences
Oshi Swarup, Alexandra Waxmann, Jocelyn Chu, Simon Vogrin, Alan Lai, Joshua Laing, James Barker, Linda Seiderer, Sophia Ignatiadis, Chris Plummer, Ross Carne, Udaya Seneviratne, Mark Cook, Michael Murphy, Wendyl D'Souza
Summary: Long-term outcomes of patients undergoing intracranial EEG (iEEG) evaluation for epilepsy surgery at St. Vincent's Hospital, Melbourne showed that most patients achieved seizure freedom and good quality of life at last follow-up. While some patients may experience depressive episodes, overall mood was not significantly associated with seizure freedom.
EPILEPSY & BEHAVIOR
(2021)
Review
Radiology, Nuclear Medicine & Medical Imaging
Yi-En Quek, Yi Leng Fung, Mike W-L Cheung, Simon J. Vogrin, Steven J. Collins, Stephen C. Bowden
Summary: The study compared automated methods and manual segmentation in measuring regional brain volumes on MRI across healthy controls, patients with mild cognitive impairment, and patients with dementia due to AD. The results showed that automated methods are generally comparable to manual segmentation for measuring hippocampal, lateral ventricle, and parahippocampal gyrus volumes, but with substantial uncontrolled variance. Therefore, caution should be used when utilizing automated methods in measuring these regions in AD patients.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Multidisciplinary Sciences
Miao Cao, Daniel Galvis, Simon J. Vogrin, William P. Woods, Sara Vogrin, Fan Wang, Wessel Woldman, John R. Terry, Andre Peterson, Chris Plummer, Mark J. Cook
Summary: Dynamic network models provide insights into brain networks affected by epileptic seizures. In this study, the authors derive ViEEG (virtual intracranial EEG) from non-invasive MEG recordings to identify brain areas involved in seizure generation in patients with epilepsy. The proposed ViEEG approach combines non-invasive MEG, dynamical network models, and a virtual resection technique, and shows promise in preserving critical temporospatial characteristics for identifying brain areas involved in seizure generation. The non-invasive ViEEG approach may have advantages over invasive iEEG and could potentially be used in surgical management of epilepsy.
NATURE COMMUNICATIONS
(2022)
Article
Engineering, Biomedical
Yuri B. Benovitski, Alan Lai, Alexia Saunders, Ceara C. McGowan, Owen Burns, David A. X. Nayagam, Rodney Millard, Mark Harrison, Graeme D. Rathbone, Richard A. Williams, Clive N. May, Michael Murphy, Wendyl J. D'Souza, Mark J. Cook, Chris E. Williams
Summary: The study demonstrates that sub-scalp electrode placement is safe and stable for long-term implantation, particularly beneficial for the diagnosis and management of neurological conditions requiring prolonged EEG monitoring.
JOURNAL OF NEURAL ENGINEERING
(2022)
Review
Clinical Neurology
Miao Cao, Simon J. Vogrin, Andre D. H. Peterson, William Woods, Mark J. Cook, Chris Plummer
Summary: More informative quantitative techniques are urgently needed to assess strategies for epilepsy surgery objectively and non-invasively. Recent advances in network analysis and dynamical network modeling provide a novel and data-driven approach for a more objective assessment of the epileptogenic zone (EZ). However, further research is required to validate the effectiveness of these methods when applied to non-invasive neuroimaging data and neurophysiological data.
FRONTIERS IN NEUROLOGY
(2022)
Article
Clinical Neurology
James Allebone, Sarah J. Wilson, Richard C. J. Bradlow, Jerome Maller, Terry O' Brien, Saul A. Mullen, Mark Cook, Sophia J. Adams, Simon Vogrin, David N. Vaughan, Alan Connelly, Patrick Kwan, Samuel F. Berkovic, Wendyl J. DSouza, Graeme Jackson, Dennis Velakoulis, Richard A. Kanaan
Summary: The study explores the cortical morphological associations of psychoses of epilepsy. The results show cortical thickening in psychoses of epilepsy, mainly occurring in nodes of the cognitive control and default mode networks. Patients with interictal psychosis also displayed cortical thickening in the temporal and occipital regions. The findings provide new insights into the cortical morphology of psychoses of epilepsy.
SEIZURE-EUROPEAN JOURNAL OF EPILEPSY
(2022)
Article
Clinical Neurology
Anita L. L. Dharan, Stephen C. C. Bowden, Andre Peterson, Alan Lai, Udaya Seneviratne, Gabriel Dabscheck, Ewan Nurse, Amy Loughman, Nicholas Parsons, Wendyl J. J. D'Souza
Summary: This study provides a comprehensive characterization of cognitive functioning in Juvenile Absence Epilepsy (JAE) and examines the relationship between cognition and 24-hour epileptiform discharge load. The results show that JAE patients have lower cognitive performances in various abilities compared to the general population. Prolonged epileptiform discharges, which are common yet underreported in JAE, are associated with reduced cognitive abilities.
Review
Clinical Neurology
Ashley Reynolds, Michaela Vranic-Peters, Alan Lai, David B. Grayden, Mark J. Cook, Andre Peterson
Summary: This scoping review explores prognostic electroencephalographic (EEG) biomarkers and models for assessing antiseizure medication (ASM) efficacy in epilepsy treatment. Qualitative and quantitative biomarkers, as well as prognostic models using EEG features, are identified, but further research is needed to determine their clinical application.
Article
Behavioral Sciences
Ewan S. Nurse, Linda J. Dalic, Shannon Clarke, Mark Cook, John Archer
Summary: This study investigates a deep learning model for the detection of generalized paroxysmal fast activity (GPFA) events and estimation of their overall burden from scalp EEG. The model achieved a high correlation coefficient with manual estimates and showed good detection sensitivity. There was no significant difference found in patients with different treatments.
EPILEPSY & BEHAVIOR
(2023)
Article
Engineering, Biomedical
Kevin Meng, Farhad Goodarzy, EuiYoung Kim, Ye Jin Park, June Sic Kim, Mark J. Cook, Chun Kee Chung, David B. Grayden
Summary: This study aimed to demonstrate the feasibility of synthesizing artificial speech sounds from human cortical surface recordings during silent speech production. Ten participants with intractable epilepsy were temporarily implanted with intracranial electrode arrays. A decoding model predicted audible outputs directly from patient-specific neural feature inputs, and the synthesized sounds were objectively and subjectively assessed.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Clinical Neurology
Gabrielle M. Schroeder, Philippa J. Karoly, Matias Maturana, Mariella Panagiotopoulou, Peter N. Taylor, Mark J. Cook, Yujiang Wang
Summary: In this observational study, researchers analyzed the variability of seizures in patients with chronic intracranial EEG recordings and found that the variability is modulated by different factors on multiple timescales. These findings have important implications for the treatment of epilepsy.
BRAIN COMMUNICATIONS
(2023)
Article
Engineering, Biomedical
Wenjuan Xiong, Ewan S. Nurse, Elisabeth Lambert, Mark J. Cook, Tatiana Kameneva
Summary: This study investigates the use of machine learning techniques for classification of psychogenic non-epileptic seizures (PNES) and epileptic seizures (ES) based on electroencephalography (EEG) and electrocardiography (ECG) data. The highest classification accuracy achieved was 87.83%, using the 15-0 minute preictal period of EEG and ECG data. Combining ECG data with EEG data improved the classification accuracy from 86.37% to 87.83%.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Proceedings Paper
Acoustics
Kevin Meng, Seo-Hyun Lee, Farhad Goodarzy, Simon Vogrin, Mark J. Cook, Seong-Whan Lee, David B. Grayden
Summary: We developed a voice-based cursor control task and collected intracranial neural data during isolated utterances of phonemes. Our findings provide evidence for tracking voice activity and classifying individual utterances using intracranial electrodes, which is important for the development of speech brain-computer interfaces.
Proceedings Paper
Computer Science, Artificial Intelligence
Kevin Meng, EuiYoung Kim, Simon Vogrin, Mark J. Cook, Farhad Goodarzy, David B. Grayden, Chun Kee Chung
Summary: This study introduces a BCI speech synthesis system that can be trained with limited overt speech to generate continuous audio outputs for subsequent speech imagery tasks. The feasibility of the system is confirmed through simulations using recorded datasets from epilepsy patients, showing that it can be used to synthesize different types of speech under specific clinical constraints.
10TH INTERNATIONAL WINTER CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI2022)
(2022)
Proceedings Paper
Computer Science, Cybernetics
Kevin Meng, David B. Grayden, Mark J. Cook, Simon Vogrin, Farhad Goodarzy
Summary: The study investigates the use of SEEG recordings to decode features of speech perception and production, and suggests that selected phonetic features decoded from the superior temporal gyrus can be reliably used to control SEEG-based BCI systems.
2021 9TH IEEE INTERNATIONAL WINTER CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI)
(2021)
