Alpha and beta band power changes predict reaction time and endpoint error during planning reaching movements

2014 ◽  
Author(s):  
Lingling Yang ◽  
Howard Leung ◽  
Markus Plank ◽  
Joe Snider ◽  
Howard Poizner
Keyword(s):  
Reaction Time ◽  
Reaching Movements ◽  
Beta Band ◽  
Band Power

scholarly journals Neural encoding of reliability and validity of directional information during the preparation of targeted movements

2020 ◽  
Author(s):  
Charidimos Tzagarakis ◽  
Sarah West ◽  
Giuseppe Pellizzer
Keyword(s):  
Reaction Time ◽  
Visual Information ◽  
Motor Response ◽  
Reliability And Validity ◽  
Motor Preparation ◽  
Theta Band ◽  
Beta Band ◽  
Motor Processes ◽  
Band Power ◽  
The Brain

AbstractVisual information about an upcoming target can be used to prepare an appropriate motor response and reduce its reaction time. However, when the anticipation is incorrect and the planned response must be changed, the reaction time is lengthened. Here, we investigated the brain mechanisms associated with the reliability and validity of visual information used for motor preparation. We recorded brain activity using magnetoencephalography (MEG) during a delayed reaching task in which a visual cue provided valid information about the location of the upcoming target with 50, 75 or 100% reliability. We found that reaction time increased as cue reliability decreased and that trials with invalid cues had longer reaction times than trials with valid cues. MEG channel analysis showed that beta-band power from left mid-anterior channels correlated with the reliability of the cue after cue onset but before target onset. This effect was source localized over a large motor-related cortical and subcortical network. In addition, during invalid-cue trials there was a phasic increase of theta-band power following target onset from left posterior channels, localized to the left occipito-parietal cortex. Furthermore, the theta-beta cross-frequency coupling between left mid-occipital and motor cortex also transiently increased before responses to invalid-cue trials. In conclusion, beta-band power in motor-related areas reflected the reliability of visual information used during motor preparation, whereas phasic theta-band activity signaled whether the target was at the expected location or not. These results elucidate mechanisms of interaction between attentional and motor processes.Significance StatementWe used magnetoencephalography to investigate how the brain mechanisms preparing a motor response take into account the reliability of information about the upcoming location of a target to reach, and how these mechanisms adjust when that information turns out to be incorrect. We found that during the response preparation, the power of motor-related beta-band oscillations changed with the reliability of the visual information. In addition, we found that after the onset of the target the power of the left occipito-parietal theta-band signaled whether the prior information was correct or not. The pattern of activity of the beta-band and theta-band explain the pattern of latency of responses in the task, and demonstrate how attentional and motor processes interact.

scholarly journals Neural Encoding of the Reliability of Directional Information During the Preparation of Targeted Movements

2021 ◽  
Vol 15 ◽  
Author(s):  
Charidimos Tzagarakis ◽  
Sarah West ◽  
Giuseppe Pellizzer
Keyword(s):  
Reaction Time ◽  
Visual Information ◽  
Brain Activity ◽  
Reaction Times ◽  
Motor Preparation ◽  
Theta Band ◽  
Beta Band ◽  
Directional Information ◽  
Reaching Task ◽  
Band Power

Visual information about the location of an upcoming target can be used to prepare an appropriate motor response and reduce its reaction time. Here, we investigated the brain mechanisms associated with the reliability of directional information used for motor preparation. We recorded brain activity using magnetoencephalography (MEG) during a delayed reaching task in which a visual cue provided valid information about the location of the upcoming target with 50, 75, or 100% reliability. We found that reaction time increased as cue reliability decreased and that trials with invalid cues had longer reaction times than trials with valid cues. MEG channel analysis showed that during the late cue period the power of the beta-band from left mid-anterior channels, contralateral to the responding hand, correlated with the reliability of the cue. This effect was source localized over a large motor-related cortical and subcortical network. In addition, during invalid-cue trials there was a phasic increase of theta-band power following target onset from left posterior channels, localized to the left occipito-parietal cortex. Furthermore, the theta-beta cross-frequency coupling between left mid-occipital and motor cortex transiently increased before responses to invalid-cue trials. In conclusion, beta-band power in motor-related areas reflected the reliability of directional information used during motor preparation, whereas phasic theta-band activity may have signaled whether the target was at the expected location or not. These results elucidate mechanisms of interaction between attentional and motor processes.

scholarly journals Sensor-Level Wavelet Analysis Reveals EEG Biomarkers of Perceptual Decision-Making

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2461
Author(s):  
Alexander Kuc ◽  
Vadim V. Grubov ◽  
Vladimir A. Maksimenko ◽  
Natalia Shusharina ◽  
Alexander N. Pisarchik ◽  
...  
Keyword(s):  
Decision Making ◽  
Sensory Information ◽  
Stimulus Onset ◽  
Perceptual Process ◽  
Perceptual Decision Making ◽  
Beta Band ◽  
Perceptual Decision ◽  
Time Frequency ◽  
Band Power ◽  
Sensory Features

Perceptual decision-making requires transforming sensory information into decisions. An ambiguity of sensory input affects perceptual decisions inducing specific time-frequency patterns on EEG (electroencephalogram) signals. This paper uses a wavelet-based method to analyze how ambiguity affects EEG features during a perceptual decision-making task. We observe that parietal and temporal beta-band wavelet power monotonically increases throughout the perceptual process. Ambiguity induces high frontal beta-band power at 0.3–0.6 s post-stimulus onset. It may reflect the increasing reliance on the top-down mechanisms to facilitate accumulating decision-relevant sensory features. Finally, this study analyzes the perceptual process using mixed within-trial and within-subject design. First, we found significant percept-related changes in each subject and then test their significance at the group level. Thus, observed beta-band biomarkers are pronounced in single EEG trials and may serve as control commands for brain-computer interface (BCI).

AUDITORY VERBAL HALLUCINATIONS ARE RELATED TO DECREASED BETA-BAND POWER IN THE ANTERIOR SUPERIOR FRONTAL GYRUS – AN MEG STUDY

2010 ◽  
Vol 117 (2-3) ◽  
pp. 475
Author(s):  
Remko Van Lutterveld ◽  
Arjan Hillebrand ◽  
Cornelis J. Stam ◽  
René S. Kahn ◽  
Iris E. Sommer
Keyword(s):  
Beta Band ◽  
Superior Frontal Gyrus ◽  
Auditory Verbal Hallucinations ◽  
Band Power

No Effects of Neurofeedback of Beta Band Components on Reaction Time Performance

2018 ◽  
Vol 3 (3) ◽  
pp. 251-260 ◽  
Author(s):  
Arash Mirifar ◽  
Andreas Keil ◽  
Jürgen Beckmann ◽  
Felix Ehrlenspiel
Keyword(s):  
Reaction Time ◽  
Beta Band ◽  
Time Performance ◽  
Reaction Time Performance

scholarly journals Beta-band desynchronization reflects uncertainty in effector selection during motor planning

2021 ◽  
Author(s):  
Milou J.L. van Helvert ◽  
Leonie Oostwoud Wijdenes ◽  
Linda Geerligs ◽  
W. Pieter Medendorp
Keyword(s):  
Time Window ◽  
Brain Activity ◽  
Motor Planning ◽  
Reaction Times ◽  
Motor Preparation ◽  
Motion Artifact ◽  
Theta Band ◽  
Beta Band ◽  
Target Uncertainty ◽  
Band Power

AbstractWhile beta-band activity during motor planning is known to be modulated by uncertainty about where to act, less is known about its modulations to uncertainty about how to act. To investigate this issue, we recorded oscillatory brain activity with EEG while human participants (n = 17) performed a hand choice reaching task. The reaching hand was either predetermined or of participants’ choice, and the target was close to one of the two hands or at about equal distance from both. To measure neural activity in a motion-artifact-free time window, the location of the upcoming target was cued 1000-1500 ms before the presentation of the target, whereby the cue was valid in 50% of trials. As evidence for motor planning during the cueing phase, behavioral observations showed that the cue affected later hand choice. Furthermore, reaction times were longer in the choice than in the predetermined trials, supporting the notion of a competitive process for hand selection. Modulations of beta-band power over central cortical regions, but not alpha-band or theta-band power, were in line with these observations. During the cueing period, reaches in predetermined trials were preceded by larger decreases in beta-band power than reaches in choice trials. Cue direction did not affect reaction times or beta-band power, which may be due to the cue being invalid in 50% of trials, retaining effector uncertainty during motor planning. Our findings suggest that effector uncertainty, similar to target uncertainty, selectively modulates beta-band power during motor planning.New & NoteworthyWhile reach-related beta-band power in central cortical areas is known to modulate with the number of potential targets, here we show, using a cueing paradigm, that the power in this frequency band, but not in the alpha or theta-band, is also modulated by the uncertainty of which hand to use. This finding supports the notion that multiple possible effector-specific actions can be specified in parallel up to the level of motor preparation.

Electroencephalogram Theta-Beta Band Power Features Generated from Writing for the Classification of Dyslexic Chidren

2018 ◽  
Author(s):  
Z. Mahmoodin ◽  
W. Mansor ◽  
Khuan Y. Lee ◽  
A. Z. A Zainuddin
Keyword(s):  
Beta Band ◽  
Band Power

scholarly journals Frequency-based Segregation of Syntactic and Semantic Unification during Online Sentence Level Language Comprehension

2015 ◽  
Vol 27 (11) ◽  
pp. 2095-2107 ◽  
Author(s):  
Marcel Bastiaansen ◽  
Peter Hagoort
Keyword(s):  
Language Comprehension ◽  
Syntactic Structure ◽  
Critical Word ◽  
Beta Band ◽  
Brain Areas ◽  
Oscillatory Dynamics ◽  
Band Power ◽  
Sentence Level ◽  
Word Onset ◽  
Semantic Unification

During sentence level language comprehension, semantic and syntactic unification are functionally distinct operations. Nevertheless, both recruit roughly the same brain areas (spatially overlapping networks in the left frontotemporal cortex) and happen at the same time (in the first few hundred milliseconds after word onset). We tested the hypothesis that semantic and syntactic unification are segregated by means of neuronal synchronization of the functionally relevant networks in different frequency ranges: gamma (40 Hz and up) for semantic unification and lower beta (10–20 Hz) for syntactic unification. EEG power changes were quantified as participants read either correct sentences, syntactically correct though meaningless sentences (syntactic prose), or sentences that did not contain any syntactic structure (random word lists). Other sentences contained either a semantic anomaly or a syntactic violation at a critical word in the sentence. Larger EEG gamma-band power was observed for semantically coherent than for semantically anomalous sentences. Similarly, beta-band power was larger for syntactically correct sentences than for incorrect ones. These results confirm the existence of a functional dissociation in EEG oscillatory dynamics during sentence level language comprehension that is compatible with the notion of a frequency-based segregation of syntactic and semantic unification.

Reaching movements in children: accuracy and reaction time development

2005 ◽  
Vol 169 (1) ◽  
pp. 122-125 ◽  
Author(s):  
Marco Favilla
Keyword(s):  
Reaction Time ◽  
Time Development ◽  
Reaching Movements

Fuzzy Control of Model-based Beta Band Power

2020 ◽  
Author(s):  
Hong Wang ◽  
Min Chen ◽  
Linlu Zu ◽  
Fei Su
Keyword(s):  
Fuzzy Control ◽  
Beta Band ◽  
Model Based ◽  
Band Power
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