Article
Neurosciences
Patti Nijhuis, Peter E. Keller, Sylvie Nozaradan, Manuel Varlet
Summary: Research shows that the synchronization between cortical and muscular activity in the beta frequency band becomes time-locked to taps executed in synchrony with visual and auditory stimuli, highlighting the critical role of beta band neural oscillations in cortical-muscular coupling underlying sensorimotor synchronisation.
Article
Engineering, Biomedical
Xugang Xi, Xiangxiang Wu, Yun-Bo Zhao, Junhong Wang, Wanzeng Kong, Zhizeng Luo
Summary: The research focuses on studying cortico-muscular coupling during hand movements, establishing a functional network to assess differences in network connectivity between different hand actions. Results indicate that beta2 band is the main information carrier for cortico-muscular coupling analysis.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Neurosciences
Scott J. Mongold, Harri Piitulainen, Thomas Legrand, Marc Vander Ghinst, Gilles Naeije, Veikko Jousmaki, Mathieu Bourguignon
Summary: This study reveals fine-grained temporal modulations in the beta sensorimotor brain rhythm and its coupling with muscle activity, which precede changes in muscle force and predict the stability of force output.
Article
Neurosciences
Jan Kujala, Sasu Makela, Pauliina Ojala, Jukka Hyona, Riitta Salmelin
Summary: Large-scale integration of information across cortical structures is crucial for supporting human cognitive processing. During naturalistic reading, reading tasks are associated with widespread increases in cortico-cortical coherence and facilitate directed neural interactions across a wide range of frequencies.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2023)
Article
Behavioral Sciences
J. McLinden, R. J. Deligani, M. R. Abtahi, U. Akbar, K. Mankodiya, Y. Shahriari
Summary: This study aimed to explore how PD affects cortico-kinematic interactions and found that cortical beta-band power in healthy populations is correlated with finger tapping latency and complexity of movement, while this relationship is impaired in PD. The healthy group demonstrated stronger ERD than the PD participants, suggesting potential directions for treatment and establishment of cortical biomarkers of Parkinson's disease.
BEHAVIOURAL BRAIN RESEARCH
(2021)
Article
Multidisciplinary Sciences
Ahmadreza Keihani, Amin Mohammad Mohammadi, Hengameh Marzbani, Shahriar Nafissi, Mohsen Reza Haidari, Amir Homayoun Jafari
Summary: This study investigated cortico-muscular interactions during motor tasks using the sparse representation method to detect coupling in task-related and non-task sEMG signals. The results showed that the sparse representation approach outperformed the CMC method in discerning the EMG channels involved in contraction tasks and non-tasks.
Article
Clinical Neurology
Nahid Zokaei, Andrew J. Quinn, Michele T. Hu, Masud Husain, Freek van Ede, Anna Christina Nobre
Summary: The study found a significant reduction in beta cortico-muscular coherence in individuals with Parkinson's disease, which was closely related to motor symptoms. This highlights cortico-muscular coherence as a potential neural marker of Parkinson's disease pathology, with implications for monitoring disease progression and evaluating the efficacy of new treatments.
BRAIN COMMUNICATIONS
(2021)
Article
Neurosciences
Lu Zhou, Biao Wu, Bing Qin, Fan Gao, Weitao Li, Haixu Hu, Qiaoqiao Zhu, Zhiyu Qian
Summary: Studies show that movement observation, movement imagery, or movement execution based brain-computer interface systems are promising in promoting the rehabilitation and reorganization of damaged motor function. This study aimed to explore and compare the motor function rehabilitation mechanism among these three methods. The results indicate that the cortico-muscular beta-lh band plays a critical role in the synchronous coupling between cortex and muscle. Additionally, specific regions in the brain are associated with each method, but their pathways for regulating muscles differ. Overall, this study contributes to a better understanding of the motor function rehabilitation mechanism.
COGNITIVE NEURODYNAMICS
(2023)
Article
Neurosciences
Saroj Bista, Amina Coffey, Antonio Fasano, Teresa Buxo, Matthew Mitchell, Eileen Rose Giglia, Stefan Dukic, Mark Heverin, Muthuraman Muthuraman, Richard G. Carson, Madeleine Lowery, Orla Hardiman, Lara McManus, Bahman Nasseroleslami
Summary: Primary lateral sclerosis (PLS) is characterized by the degeneration of upper motor neurons (UMNs) in the primary motor area (M1). This study used cortico-muscular coherence (CMC) to examine the oscillatory drives between cortical regions and muscles during a motor task in PLS. The findings showed atypical engagement of both contralateral and ipsilateral M1 during motor activity in PLS, indicating pathogenic and adaptive/compensatory alterations in neural activity.
Article
Computer Science, Interdisciplinary Applications
Jinbiao Liu, Gansheng Tan, Jixian Wang, Yina Wei, Yixuan Sheng, Hui Chang, Qing Xie, Honghai Liu
Summary: This study integrates corticomuscular and intermuscular interactions into a cortico-muscular-cortical functional network, named closed-loop network (CLN). The study reveals the after-effects mechanism of low frequency repetitive transcranial magnetic stimulation (rTMS) on the cortical physiologic functions during movement in stroke patients. CLN provides a new perspective for the study of motor-related cortical networks with muscle activities involvement.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Review
Clinical Neurology
Shi-Chun Bao, Cheng Chen, Kai Yuan, Yuan Yang, Raymond Kai-Yu Tong
Summary: This article discusses the neural bases of motor disorders, characteristics of cortico-peripheral interactions, and their clinical applications. Methodological efforts to enhance the reliability of neural coupling measures are summarized, and the importance of larger sample sizes for future studies is emphasized.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Clinical Neurology
Elisa Visani, Ferruccio Panzica, Roberto Eleopra, Davide Rossi Sebastiano, Paola Lanteri, Grazia Devigili, Sara Dotta, Sara Rinaldo, Silvana Franceschetti
Summary: This study evaluates the effects of MRgFUS treatment on drug-resistant essential tremor by assessing cortico-muscular coherence and the out-strength among cortical areas. The results suggest that in patients who respond well to MRgFUS, the cortico-muscular coherence increases in the motor-area of the treated hemisphere immediately after the treatment, while the reorganization of cortico-muscular coherence and cortico-cortical out-strength towards the cortical motor area occurs with a delay.
CLINICAL NEUROPHYSIOLOGY
(2022)
Article
Clinical Neurology
S. Franceschetti, E. Visani, D. Rossi Sebastiano, D. Duran, T. Granata, R. Solazzi, G. Varotto, L. Canafoglia, F. Panzica
Summary: The study found that Perampanel can reduce the severity of action myoclonus by decreasing cortico-muscular coherence and restoring the leadership of cortical regions. This highlights mechanisms suitable for treating myoclonus and emphasizes the role of reduced local synchronization and better control of distant synaptic effects.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Multidisciplinary Sciences
Dorian Glories, Mathias Soulhol, David Amarantini, Julien Duclay
Summary: The study compared modulations of corticomuscular coherence (CMC) and changes in spinal excitability during different muscle contraction types, finding that CMC was significantly lower during lengthening contractions, indicating a potential involvement of spinal regulatory mechanisms in beta-band CMC modulation.
SCIENTIFIC REPORTS
(2021)
Article
Chemistry, Multidisciplinary
Ziga Kozinc, Jernej Plesa, Daniel Djuric, Nejc Sarabon
Summary: The study found that ballistic contractions have higher rate of force development (RFD) in later time intervals compared to explosive sustained contractions, with larger differences in females. Peak RFD was also higher in ballistic contractions, suggesting their use for primary RFD assessment.
APPLIED SCIENCES-BASEL
(2022)
Article
Neurosciences
Stephen Whitmarsh, Christophe Gitton, Veikko Jousmaki, Jerome Sackur, Catherine Tallon-Baudry
Summary: The impact of top-down attention on stimulus-induced responses and alpha oscillations, as well as the relationship between arousal and pupil diameter, have been well established. However, their contribution to the subjective experience of attention remains largely unknown. Both pupil diameter and alpha power are reflected in the subjective experience of attention, albeit on different time spans, while continuous stimulus processing may not play a significant role in shaping the experience of attention.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2022)
Article
Psychology, Experimental
Paula Rios-Lopez, Nicola Molinaro, Mathieu Bourguignon, Marie Lallier
Summary: This study found that children with greater pre-reading delta-band speech-brain coherence on the right side of the brain performed better in reading tasks a year later, potentially contributing to successful reading development. The results provide preliminary support for the relevance of right-hemisphere speech-brain coherence in reading acquisition, and suggest pre-reading neural coherence indexes as useful tools for early detection of developmental reading disorders.
JOURNAL OF COGNITIVE PSYCHOLOGY
(2022)
Article
Neurosciences
Florian Destoky, Julie Bertels, Maxime Niesen, Vincent Wens, Marc Vander Ghinst, Antonin Rovai, Nicola Trotta, Marie Lallier, Xavier De Tiege, Mathieu Bourguignon
Summary: The study found altered neural basis of speech perception in children with dyslexia in different auditory conditions. These alterations are associated with reduced reading level, suggesting they are driven by reduced reading experience rather than a cause of dyslexia. Additionally, in severe dyslexia, altered lateralization of phrasal speech is related to impaired rapid automatized naming ability.
Article
Neurosciences
Scott J. Mongold, Harri Piitulainen, Thomas Legrand, Marc Vander Ghinst, Gilles Naeije, Veikko Jousmaki, Mathieu Bourguignon
Summary: This study reveals fine-grained temporal modulations in the beta sensorimotor brain rhythm and its coupling with muscle activity, which precede changes in muscle force and predict the stability of force output.
Editorial Material
Clinical Neurology
Odile Feys, Pierre Corvilain, Audrey Van Hecke, Claudine Sculier, Estelle Rikir, Benjamin Legros, Nicolas Gaspard, Gil Leurquin-Sterk, Niall Holmes, Matthew Brookes, Serge Goldman, Vincent Wens, Xavier De Tiege
ANNALS OF NEUROLOGY
(2023)
Article
Neurosciences
Eero Ahtola, Susanna Leikos, Anna Tuiskula, Leena Haataja, Eero Smeds, Harri Piitulainen, Veikko Jousmaki, Anton Tokariev, Sampsa Vanhatalo
Summary: Researchers developed an automated method using pneumatic stimulation for naturalistic movements of an infant's hand and designed an analysis pipeline for assessing the related EEG responses and cortical networks. Corticokinematic coherence (CKC) was observed between hand movements and EEG in all infants, with the peak near the contralateral sensorimotor cortex. The CKC paradigm holds great promise as a noninvasive and easily performed tool for controlled assessment of functional cortical networks.
Article
Clinical Neurology
Dorine Van Dyck, Nicolas Deconinck, Alec Aeby, Simon Baijot, Nicolas Coquelet, Xavier De Tiege, Charline Urbain
Summary: This study investigated the procedural learning deficit hypothesis in children with Developmental Coordination Disorder (DCD) and found that children with DCD have reduced sequence learning skills compared to typically developing children. However, both groups were able to discriminate between sequential and random trials, indicating similar abilities in this aspect. This finding highlights the importance of considering the overall functioning of the child when assessing learning skills in patients.
CHILD NEUROPSYCHOLOGY
(2023)
Article
Immunology
Sophie Henrard, Nicola Trotta, Antonin Rovai, Tim Coolen, Hichem Slama, Julie Bertels, Delphine Puttaert, Jean-Christophe Goffard, Jean-Paul Van Vooren, Serge Goldman, Xavier De Tiege
Summary: This study investigated the brain structure and metabolism of young European men with HIV, including recreational drug use. The results showed that cognitive impairments in these individuals were mainly attributed to recreational drug use rather than HIV itself.
CLINICAL INFECTIOUS DISEASES
(2023)
Article
Neurosciences
Maxime Niesen, Mathieu Bourguignon, Julie Bertels, Marc Vander Ghinst, Vincent Wens, Serge Goldman, Xavier De Tiege
Summary: Children have more difficulty perceiving speech in noise than adults, which may be related to an immature processing of linguistic elements. A study was conducted to evaluate the impact of noise on the cortical tracking of intelligible speech in school-aged children and adults. The results showed that children had lower cortical tracking for linguistic units without noise compared to adults, and in the presence of noise, adults increased cortical tracking of words while children did not, indicating an immature tracking of lexical units in children.
Article
Psychology, Developmental
Julie Bertels, Maxime Niesen, Florian Destoky, Tim Coolen, Marc Vander Ghinst, Vincent Wens, Antonin Rovai, Nicola Trotta, Martijn Baart, Nicola Molinaro, Xavier De Tiege, Mathieu Bourguignon
Summary: Humans' ability to understand speech in noise develops with age through multiple processes. Using MEG, researchers studied cortical oscillations in 144 participants (aged 5-27 years) to understand how they track phrasal and syllabic structures in connected speech mixed with different types of noise. The study found that while the extraction of prosodic cues from clear speech remains stable during development, its maintenance in a multi-talker background matures rapidly up to age 9 and is associated with speech comprehension. The study also found that the extraction of subtler information provided by syllables matures at age 9, but its maintenance in noisy backgrounds progressively matures until adulthood.
DEVELOPMENTAL COGNITIVE NEUROSCIENCE
(2023)
Review
Clinical Neurology
Jordan N. Alves, Britta U. Westner, Andreas Hojlund, Rimona Sharon Weil, Sarang S. Dalal
Summary: Parkinson's disease is characterized by degeneration of dopaminergic neurons, leading to bradykinesia, rest tremor and rigidity. Visual disorders and retinal abnormalities are common in patients with Parkinson's disease, and can be detected through decreased visual acuity, abnormal spatial contrast sensitivity and difficulty in complex visual tasks. This review examines the retinal dysfunction in Parkinson's disease, highlighting the electrophysiological and structural changes observed. The findings suggest that retinal functional measures could serve as valuable and cost-effective tools for early evaluation of Parkinson's disease.
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
(2023)
Article
Neurosciences
Timo Nurmi, Maria Hakonen, Mathieu Bourguignon, Harri Piitulainen
Summary: This study aimed to investigate the effect of finger movement range on the brain's perception and localization of movement. With EEG measurements from 16 healthy volunteers, the study found that the cortical responses to passive finger movements were similar regardless of the movement range. Additionally, the use of CKC reduced inter-individual variability and increased statistical power.
Article
Psychology, Multidisciplinary
Julie Bertels, Adelaide de Heering, Mathieu Bourguignon, Axel Cleeremans, Arnaud Destrebecqz
Summary: Snakes and primates have coexisted for thousands of years. Recent research has shown that the human brain has a mechanism that can promptly detect snakes based on their visual features. Color might play a role in attracting attention to snakes, as evidenced by the different neural responses of infants to colored and grayscale snakes. The strength of the snake-specific response in infants is also influenced by their age.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Neurosciences
Jose Sanchez-Bornot, Roberto C. Sotero, J. A. Scott Kelso, Ozguer Simsek, Damien Coyle
Summary: This study proposes a multi-penalized state-space model for analyzing unobserved dynamics, using a data-driven regularization method. Novel algorithms are developed to solve the model, and a cross-validation method is introduced to evaluate regularization parameters. The effectiveness of this method is validated through simulations and real data analysis, enabling a more accurate exploration of cognitive brain functions.
