Neuromodulation in Beta‐Band Power Between Movement Execution and Inhibition in the Human Hippocampus

2021 ◽  
Author(s):  
Roberto Martin Campo‐Vera ◽  
Austin M. Tang ◽  
Angad S. Gogia ◽  
Kuang‐Hsuan Chen ◽  
Rinu Sebastian ◽  
...  
Keyword(s):  
Beta Band ◽  
Movement Execution ◽  
Human Hippocampus ◽  
Band Power

scholarly journals Beta-band power modulation in the human hippocampus during a reaching task

2020 ◽  
Vol 17 (3) ◽  
pp. 036022 ◽  
Author(s):  
Roberto Martin Del Campo-Vera ◽  
Angad S Gogia ◽  
Kuang-Hsuan Chen ◽  
Rinu Sebastian ◽  
Daniel R Kramer ◽  
...  
Keyword(s):  
Beta Band ◽  
Reaching Task ◽  
Power Modulation ◽  
Human Hippocampus ◽  
Band Power

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

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.

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

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

scholarly journals Electrocorticographic dissociation of alpha and beta rhythmic activity in the human sensorimotor system

2019 ◽  
Author(s):  
Arjen Stolk ◽  
Loek Brinkman ◽  
Mariska J. Vansteensel ◽  
Erik Aarnoutse ◽  
Frans S. S. Leijten ◽  
...  
Keyword(s):  
Sensorimotor Cortex ◽  
Rhythmic Activity ◽  
Neuronal Population ◽  
Imagery Task ◽  
Beta Band ◽  
Neuronal Populations ◽  
Band Power ◽  
Movement Selection ◽  
Spatiotemporal Coordination ◽  
Phase Relationships

AbstractThis study uses electrocorticography in humans to assess how alpha- and beta-band rhythms modulate excitability of the sensorimotor cortex during movement selection, as indexed through a psychophysically-controlled movement imagery task. Both rhythms displayed effector-specific modulations, tracked spectral markers of action potentials in the local neuronal population, and showed spatially systematic phase relationships (traveling waves). Yet, alpha- and beta-band rhythms differed in their anatomical and functional properties, were weakly correlated, and traveled along opposite directions across the sensorimotor cortex. Increased alpha-band power in the somatosensory cortex ipsilateral to the selected arm was associated with spatially-unspecific inhibition. Decreased beta-band power over contralateral motor cortex was associated with a focal shift from relative inhibition to excitation. These observations indicate the relevance of both inhibition and disinhibition mechanisms for precise spatiotemporal coordination of neuronal populations during movement selection. Those mechanisms are implemented through the substantially different neurophysiological properties of sensorimotor alpha- and beta-band rhythms.

scholarly journals Right inferior frontal gyrus implements motor inhibitory control via beta-band oscillations in humans

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Michael Schaum ◽  
Edoardo Pinzuti ◽  
Alexandra Sebastian ◽  
Klaus Lieb ◽  
Pascal Fries ◽  
...  
Keyword(s):  
Inhibitory Control ◽  
Response Inhibition ◽  
Supplementary Motor Area ◽  
Inferior Frontal Gyrus ◽  
Neural Mechanisms ◽  
Beta Band ◽  
Changing Environments ◽  
Band Power ◽  
The Right ◽  
Band Activity

Motor inhibitory control implemented as response inhibition is an essential cognitive function required to dynamically adapt to rapidly changing environments. Despite over a decade of research on the neural mechanisms of response inhibition, it remains unclear, how exactly response inhibition is initiated and implemented. Using a multimodal MEG/fMRI approach in 59 subjects, our results reliably reveal that response inhibition is initiated by the right inferior frontal gyrus (rIFG) as a form of attention-independent top-down control that involves the modulation of beta-band activity. Furthermore, stopping performance was predicted by beta-band power, and beta-band connectivity was directed from rIFG to pre-supplementary motor area (pre-SMA), indicating rIFG’s dominance over pre-SMA. Thus, these results strongly support the hypothesis that rIFG initiates stopping, implemented by beta-band oscillations with potential to open up new ways of spatially localized oscillation-based interventions.

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