scholarly journals Beta-band activity and connectivity in sensorimotor and parietal cortex are important for accurate motor performance

NeuroImage ◽  
2017 ◽  
Vol 144 ◽  
pp. 164-173 ◽  
Author(s):  
Jae W. Chung ◽  
Edward Ofori ◽  
Gaurav Misra ◽  
Christopher W. Hess ◽  
David E. Vaillancourt
2021 ◽  
Author(s):  
Anne E Urai ◽  
Tobias H Donner

Humans and other animals tend to systematically repeat (or alternate) their previous choices, even when judging sensory stimuli presented in a random sequence. Choice history biases may arise from action preparation in motor circuits, or from perceptual or decision processing in upstream areas. Here, we combined source-level magnetoencephalographic (MEG) analyses of cortical population dynamics with behavioral modeling of a visual decision process. We disentangled two neural history signals in human motor and posterior parietal cortex. Gamma-band activity in parietal cortex tracked previous choices throughout the trial and biased evidence accumulation toward choice repetition. Action-specific beta-band activity in motor cortex also carried over to the next trial and biased the accumulation starting point toward alternation. The parietal, but not motor, history signal predicted the next trial's choice as well as individual differences in choice repetition. Our results are consistent with a key role of parietal cortical signals in shaping choice sequences.


2019 ◽  
Vol 39 (15) ◽  
pp. 2903-2914 ◽  
Author(s):  
Félix-Antoine Savoie ◽  
Raphaël Hamel ◽  
Angélina Lacroix ◽  
François Thénault ◽  
Kevin Whittingstall ◽  
...  

2021 ◽  
pp. 155005942110334
Author(s):  
Parham Jalali ◽  
Nasrin Sho’ouri

Resent research has shown that electroencephalography (EEG) theta/beta ratio (TBR) in cases with attention deficit hyperactivity disorder (ADHD) has thus far been reported lower than that in healthy individuals. Accordingly, utilizing EEG-TBR as a biomarker to diagnose ADHD has been called into question. Besides, employing known protocol to reduce EEG-TBR in the vertex (Cz) channel to treat ADHD via neurofeedback (NFB) has been doubted. The present study was to propose a new NFB treatment protocol to manage ADHD using EEG signals from 30 healthy controls and 30 children with ADHD through an attention-based task and to calculate relative power in their different frequency bands. Then, the most significant distinguishing features of EEG signals from both groups were determined via a genetic algorithm (GA). The results revealed that EEG-TBR values in children with ADHD were lower compared with those in healthy peers; however, such a difference was not statistically significant. Likewise, inhibiting alpha band activity and enhancing delta one in F7 or T5 channels was proposed as a new NFB treatment protocol for ADHD. No significant increase in EEG-TBR in the Cz channel among children with ADHD casts doubt on the effectiveness of using EEG-TBR inhibitory protocols in the Cz channel. Consequently, it was proposed to apply the new protocol along with reinforced beta-band activity to treat or reduce ADHD symptoms.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Karuna Subramaniam ◽  
Leighton B. N. Hinkley ◽  
Danielle Mizuiri ◽  
Hardik Kothare ◽  
Chang Cai ◽  
...  

2020 ◽  
Vol 6 (49) ◽  
pp. eabb1141
Author(s):  
Assaf Breska ◽  
Richard B. Ivry

Physiological methods have identified a number of signatures of temporal prediction, a core component of attention. While the underlying neural dynamics have been linked to activity within cortico-striatal networks, recent work has shown that the behavioral benefits of temporal prediction rely on the cerebellum. Here, we examine the involvement of the human cerebellum in the generation and/or temporal adjustment of anticipatory neural dynamics, measuring scalp electroencephalography in individuals with cerebellar degeneration. When the temporal prediction relied on an interval representation, duration-dependent adjustments were impaired in the cerebellar group compared to matched controls. This impairment was evident in ramping activity, beta-band power, and phase locking of delta-band activity. These same neural adjustments were preserved when the prediction relied on a rhythmic stream. Thus, the cerebellum has a context-specific causal role in the adjustment of anticipatory neural dynamics of temporal prediction, providing the requisite modulation to optimize behavior.


2010 ◽  
Vol 30 (34) ◽  
pp. 11270-11277 ◽  
Author(s):  
C. Tzagarakis ◽  
N. F. Ince ◽  
A. C. Leuthold ◽  
G. Pellizzer

2013 ◽  
Vol 7 (3) ◽  
Author(s):  
Laurentiu Popa ◽  
Rahul Gupta ◽  
Dwight Nelson ◽  
Timothy J. Ebner

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