Components of the movement-related cortical potential and their scalp topography

Shibasaki, Hiroshi; Barrett, Geoff; Halliday, E.; Halliday, A. M.

doi:10.1016/0013-4694(80)90216-3

Cited by 547 publications

(253 citation statements)

References 16 publications

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“…This argument is based on the grounds that unlike Go trials, No-go trials do not require a motor response and that this disparity could explain the amplitude differences observed in both ERP components. However, given that motor preparation is typically associated with a negative-going response (Shibasaki, Barrett, Halliday, & Halliday, 1980), we should have observed an increased N2 amplitude on Go trials. Our findings, in contrast, show increased N2 amplitude on No-go trials making its association with inhibitory processes a more tenable explanation.…”

Section: Discussionmentioning

confidence: 63%

Neural Correlates of Response Inhibition in Early Childhood: Evidence From a Go/No-Go Task

Rahman

Carroll

Espy

et al. 2017

Developmental Neuropsychology

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We examined the neural correlates underlying response inhibition in early childhood. Five-year-old children completed a Go/No-go task with or without time pressure (Fast vs. Slow condition) while scalp EEG was recorded. On No-go trials where inhibition was required, the left frontal N2 and posterior P3 were enhanced relative to Go trials. Time pressure was detrimental to behavioral performance and modulated the early-occurring P1 component. The topography of ERPs related to response inhibition differed from patterns typically seen in adults, and may indicate a compensatory mechanism to make up for immature inhibition networks in children.

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Section: Discussionmentioning

confidence: 63%

Neural Correlates of Response Inhibition in Early Childhood: Evidence From a Go/No-Go Task

Rahman

Carroll

Espy

et al. 2017

Developmental Neuropsychology

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“…This task has also been used to assess ERP markers of inhibition (e.g. Nogo N2; Falkenstein et al, 1999) and response preparation (Shibasaki et al, 1980). Meanwhile, the threestimulus oddball paradigm involves the recognition of an infrequent target stimulus from a sequence of more frequently occurring standard stimuli.…”

Section: Introductionmentioning

confidence: 99%

Neuronal oscillations in the EEG under varying cognitive load: A comparative study between slow waves and faster oscillations

Demanuele

Broyd

Sonuga‐Barke

et al. 2013

Clinical Neurophysiology

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the support of our participants, Suzannah Helps (Developmental Brain-Behaviour Laboratory, School of Psychology, University of Southampton, UK) for her contributions to the task design, and Daniel Durstewitz (Central Institute of Mental Health, Mannheim, Germany) for useful comments on the manuscript. We also thank all three anonymous reviewers for their constructive comments. AbstractObjective: This study has been specifically designed to investigate very low frequency neuronal oscillations (VLFO, <0.5 Hz) during resting states and during goal-directed tasks of graded difficulty levels, quantify the changes that the slow waves undergo in these conditions and compare them with those for higher frequency bands (namely delta, theta and alpha).Methods: To this end we developed a multistage signal processing methodology comprising blind source separation coupled with a neural network based feature extraction and classification method.Results: Changes in the amplitude and phase of brain sources estimates in the VLF band between rest and task were enhanced with increased task difficulty, but remained lower than those experienced in higher frequency bands. The slow wave variations were also significantly correlated with task performance measures, and hence with the level of task-directed attention.Conclusions: These findings suggest that besides their prominent sensitivity to external stimulation, VLFOs also contribute to the cortical ongoing background activity which may not be specifically related to task-specific attention and performance.Significance: Our work provides important insight into the association between VLF brain activity and conventional EEG frequency bands, and presents a novel framework for assessing neural activity during various mental conditions and psychiatric states. Highlights• We present a novel approach for exploring the functional relationship between very low frequency EEG oscillations (VLFO, <0.5 Hz) recorded at rest and those following the transition to goaldirected tasks of graded difficulty levels.• We show that slow waves (i) are attenuated but not extinguished following a rest to task transition, and (ii) are sensitive to variations in cognitive load; (iii) the rest-to-task changes in the slow wave band correlate with performance measures and (iv) the changes are lower than those in higher frequency bands, tentatively suggesting the VLFOs' contribution to the cortical ongoing background activity.• We present a new signal processing methodology for quantifying changes in band-limited EEG activity -this method, developed to gain insight into the neurophysiological role of the slow waves, could be explored with respect to altered functioning of brain oscillators in psychiatric and neurobehavioural disorders such as schizophrenia and ADHD. C. Demanuele et al., 20123

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“…Early BP is symmetrically and widely distributed over the scalp, and reaches maximal amplitude over the midline centro-parietal area (e.g. see [12]). Its probable sources are in the cortical medial-wall motor areas.…”

Section: Introductionmentioning

confidence: 99%

Motor Commands of Facial Expressions: The Bereitschaftspotential of Posed Smiles

2008

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Electroencephalographic (EEG) premotor potentials with negative polarity like the Bereitschaftspotential (BP) are known to precede self-paced voluntary movements of the limbs and other body parts. This is however the first report of such premotor potentials before posed smiles. Scalp EEG was recorded in 16 healthy participants performing self-paced unilateral and bilateral smiles and unilateral finger movements. Amplitudes over six central electrodes and voltage distributions over the entire scalp were compared across conditions at time of EMG-onset, thus focusing on the late BP. Results show the presence of a premotor potential before posed smiles with a later onset, symmetrical bilateral distribution, and smaller amplitude at time of movement-onset, compared to finger movements. Future studies should investigate the BP before various types of emotional and non-emotional facial expressions.

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Components of the movement-related cortical potential and their scalp topography

Cited by 547 publications

References 16 publications

Neural Correlates of Response Inhibition in Early Childhood: Evidence From a Go/No-Go Task

Neural Correlates of Response Inhibition in Early Childhood: Evidence From a Go/No-Go Task

Neuronal oscillations in the EEG under varying cognitive load: A comparative study between slow waves and faster oscillations

Motor Commands of Facial Expressions: The Bereitschaftspotential of Posed Smiles

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