ERP correlates of linear hand movements in a motor reproduction task

Kirsch, Waldemar; Hennighausen, Erwin; Rösler, Frank

doi:10.1111/j.1469-8986.2009.00952.x

Cited by 12 publications

(12 citation statements)

References 53 publications

(74 reference statements)

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“…The analysis of movement trajectories showed the standard characteristics of pointing movements in both arms (Kirsch et al, 2010). With regard to the time series of velocity, a first positive peak after the movement onset indicated the peak velocity during the forward movement.…”

Section: Discussionmentioning

confidence: 99%

“…Slobounov et al (2000) reported an increase in the amplitude of the late component of the BP (the so-called late BP Shibasaki and Hallett, 2006) when the maximum degree of the index finger extension was achieved. In a pioneering study Kirsch et al (2010) reported a positive correlation between the amplitude of the BP and both velocity and distance during the execution of goal-directed movements. In addition, they found that an increase of the target distance and the movement time were associated with the smoothness of the time-course of the BP.…”

Section: Introductionmentioning

confidence: 99%

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Linking motor-related brain potentials and velocity profiles in multi-joint arm reaching movements

Amengual

Marco-Pallarés

Grau

et al. 2014

Front. Hum. Neurosci.

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The study of the movement related brain potentials (MRPBs) needs accurate technical approaches to disentangle the specific patterns of bran activity during the preparation and execution of movements. During the last forty years, synchronizing the electromyographic activation (EMG) of the muscle with electrophysiological recordings (EEG) has been commonly ussed for these purposes. However, new clinical approaches in the study of motor diseases and rehabilitation suggest the demand of new paradigms that might go further into the study of the brain activity associated with the kinematics of movements. As a response to this call, we have used a 3-D hand-tracking system with the aim to record continuously the position of an ultrasonic sender attached to the hand during the performance of multi-joint self-paced movements. We synchronized time-series of position and velocity of the sender with the EEG recordings, obtaining specific patterns of brain activity as a function of the fluctuations of the kinematics during natural movement performance. Additionally, the distribution of the brain activity during the preparation and execution phases of movements was similar that reported previously using the EMG, suggesting the validity of our technique. We claim that this paradigm could be usable in patients because of its simplicity and the potential knowledge that can be extracted from clinical protocols.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Linking motor-related brain potentials and velocity profiles in multi-joint arm reaching movements

Amengual

Marco-Pallarés

Grau

et al. 2014

Front. Hum. Neurosci.

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“…Early activity at delta/theta frequencies was strongest at vertex electrodes, which is compatible with stimulus-related (Garcia-Larrea et al 2003;Lorenz and Garcia-Larrea 2003) as well as movement preparationrelated (Colebatch 2007;Tamas and Shibasaki 1985) activity. Later activity around the button press shows a left lateralized topography, indicating that this activity represents motor-related activity (Caldara et al 2004;Kirsch et al 2010). The analysis of the relationship between delta/theta activity and reaction times reveals that the amplitude of delta/theta activity was significantly related to reaction times.…”

Section: Discussionmentioning

confidence: 99%

Gamma oscillations are involved in the sensorimotor transformation of pain

Schulz

Tiemann

Witkovský

et al. 2012

Journal of Neurophysiology

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Schulz E, Tiemann L, Witkovsky V, Schmidt P, Ploner M. Gamma oscillations are involved in the sensorimotor transformation of pain. J Neurophysiol 108: 1025-1031, 2012. First published May 23, 2012 doi:10.1152/jn.00186.2012.-Pain signals threat and initiates motor responses to avoid harm. The transformation of pain into a motor response is thus an essential part of pain. Here, we investigated the neural mechanisms subserving the sensorimotor transformation of pain at the cortical level by using electroencephalography. In a simple reaction time experiment, brief painful stimuli were delivered to the left hand of healthy human subjects who responded with button presses of the right hand. The results show that the simple reaction time task was associated with neuronal responses at delta/theta, alpha/beta, and gamma frequencies. The analysis of the relationship between neuronal activity and response speed revealed that gamma oscillations, which were temporally coupled to the painful stimuli, but not temporally coupled to the motor response, predicted reaction times. Lateralization of gamma oscillations indicates that they originate from motor areas rather than from sensory areas. We conclude that gamma oscillations are involved in the sensorimotor transformation of pain whose efficiency they reflect. We hypothesize that the relationship between stimulus-locked gamma oscillations and reaction times reflects a direct thalamo-motor route of nociceptive information that is central to the biological function of pain.

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“…In most reports, the high-pass filtering is either ignored or set to 0.05 Hz [39][40][41][42][43][44]. In some other studies dc removal is achieved by simple de-trend algorithms [32,40,10,9]. Given the spectral localization of SCPs in the range [0.2-0.7] Hz, these filters are likely to be sub-optimal due to the inclusion of a broad spectral range.…”

Section: Slow Cortical Potentialsmentioning

confidence: 99%

“…SCP modulations have been reported to encode movement specific parameters such as distance [9,10], type and speed of real and imagined wrist movements [11,12] and discrimination of torque rate [13]. Hence, they may also be used for decoding hand movement trajectories [14,15].…”

Section: Introductionmentioning

confidence: 99%

Single trial analysis of slow cortical potentials: a study on anticipation related potentials

2013

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Objective. Abundant literature suggests the use of slow cortical potentials (SCPs) in a wide spectrum of basic and applied neuroscience areas. Due to their low signal to noise ratio, these potentials are often studied using grand-average analysis, which conceals trial-to-trial information. Moreover, most of the single trial analysis methods in the literature are based on classical electroencephalogram (EEG) features ([1-30] Hz) and are likely to be unsuitable for SCPs that have different signal properties (such as having the signal's spectral content in the range [0.2-0.7] Hz). In this paper we provide insights into the selection of appropriate parameters for spectral and spatial filtering. Approach. We study anticipation related SCPs recorded using a web-browser application protocol and a full-band EEG (FbEEG) setup from 11 subjects on two different days. Main results. We first highlight the role of a bandpass with [0.1-1.0] Hz in comparison with common practices (e.g., either with full dc, just a lowpass, or with a minimal highpass cut-off around 0.05 Hz). Secondly, we suggest that a combination of spatial-smoothing filter and common average reference (CAR) is more suitable than the spatial filters often reported in the literature (e.g., re-referencing to an electrode, Laplacian or CAR alone). Thirdly, with the help of these preprocessing steps, we demonstrate the generalization capabilities of linear classifiers across several days (AUC of 0.88 ± 0.05 on average with a minimum of 0.81 ± 0.03 and a maximum of 0.97 ± 0.01). We also report the possibility of further improvements using a Bayesian fusion technique applied to electrode-specific classifiers. Significance. We believe the suggested spatial and spectral preprocessing methods are advantageous for grand-average and single trial analysis of SCPs obtained from EEG, MEG as well as for electrocorticogram. The use of these methods will impact basic neurophysiological studies as well as the use of SCPs in the design of neuroprosthetics.

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ERP correlates of linear hand movements in a motor reproduction task

Cited by 12 publications

References 53 publications

Linking motor-related brain potentials and velocity profiles in multi-joint arm reaching movements

Linking motor-related brain potentials and velocity profiles in multi-joint arm reaching movements

Gamma oscillations are involved in the sensorimotor transformation of pain

Single trial analysis of slow cortical potentials: a study on anticipation related potentials

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