Reference frames in the decisions of hand choice

Bakker, Romy S.; Selen, Luc P. J.; Medendorp, W. Pieter

doi:10.1152/jn.00738.2017

Cited by 13 publications

(21 citation statements)

References 49 publications

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“…Notably, new behavioural data reveal that target space during a free hand choice reaching task similar to that used in the current study is represented in both gaze-and head-centred reference frames (Bakker et al, 2018). Both gaze-and head-orientation are found to modulate hand choice.…”

Section: Visuospatial Interpretationsmentioning

confidence: 52%

The neural basis of hand choice: An fMRI investigation of the Posterior Parietal Interhemispheric Competition model

2019

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The current study investigates a new neurobiological model of human hand choice: The Posterior Parietal Interhemispheric Competition (PPIC) model. The model specifies that neural populations in bilateral posterior intraparietal and superior parietal cortex (pIP-SPC) encode actions in hand-specific terms, and compete for selection across and within hemispheres. Actions with both hands are encoded bilaterally, but the contralateral hand is overrepresented. We use a novel fMRI paradigm to test the PPIC model. Participants reach to visible targets while in the scanner, and conditions involving free choice of which hand to use (Choice) are compared with when hand-use is instructed. Consistent with the PPIC model, bilateral pIP-SPC is preferentially responsive for the Choice condition, and for actions made with the contralateral hand. In the right pIP-SPC, these effects include anterior intraparietal and superior parieto-occipital cortex. Left dorsal premotor cortex, and an area in the right lateral occipitotemporal cortex show the same response pattern, while the left inferior parietal lobule is preferentially responsive for the Choice condition and when using the ipsilateral hand. Behaviourally, hand choice is biased by target location-for targets near the left/right edges of the display, the hand in ipsilateral hemispace is favoured. Moreover, consistent with a competitive process, response times are prolonged for choices to more ambiguous targets, where hand choice is relatively unbiased, and fMRI responses in bilateral pIP-SPC parallel this pattern. Our data provide support for the PPIC model, and reveal a selective network of brain areas involved in free hand choice, including bilateral posterior parietal cortex, left-lateralized inferior parietal and dorsal premotor cortices, and the right lateral occipitotemporal cortex.

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Section: Visuospatial Interpretationsmentioning

confidence: 52%

The neural basis of hand choice: An fMRI investigation of the Posterior Parietal Interhemispheric Competition model

2019

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“…Other studies do suggest competition between motor plans of the two hands. Reaction times are longer for reaches towards the target direction that leads to equiprobable right/left hand choices (point of subjective equality, PSE), resembling a more competitive hand selection process for this direction compared to other, lateral target directions (Bakker et al, 2018;Oliveira, Diedrichsen, Verstynen, Duque, & Ivry, 2010). Also, preparing reaches with two hands simultaneously results in more movement variability than preparing a single reach, suggesting that reach plans of the two hands share a common neural resource (Oostwoud Wijdenes, Ivry, & Bays, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Other studies do suggest competition between motor plans of the two hands. Reaction times are longer for reaches towards the target direction that leads to equiprobable right/left hand choices (point of subjective equality, PSE), resembling a more competitive hand selection process for this direction compared to other, lateral target directions (Bakker et al, 2018;Oliveira, Diedrichsen, Verstynen, (which was not certified by peer review) is the author/funder. All rights reserved.…”

Section: Introductionmentioning

confidence: 99%

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

Helvert

Wijdenes

Geerligs

et al. 2021

Preprint

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While 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.

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“…Moreover, the actor critic architecture for learning and execution proposed by Savalia and colleagues [9] where time and hierarchical management of sequence induce different work at loop on basal ganglia-frontal cortex and hippocampus-frontal cortex. While other studies were seeking how motor responses were done differently for every participant in a decision-making task [10] and how the reference frame is important for decisions in hand choice [11]. Even more, on goal-driven tasks behavioural motor answers that used greater auditory processing suppress responses in the auditory cortex [12] and recent report has shown motor-dependent changes in auditory cortical dynamics were driven by a subset of neurons in the secondary motor cortex that innervate the auditory cortex and are active during movement [13].…”

Section: Introductionmentioning

confidence: 99%

Prior context influences motor brain areas in an auditory oddball task and prefrontal cortex multitasking modelling

Mugruza-Vassallo

Potter

Tsiora³

et al. 2020

Preprint

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In this study, the relationship of orienting of attention, motor control and the Stimulus- (SDN) and Goal-Driven Network (GDN) was explored through an innovative method for fMRI analysis considering all voxels after every type condition. The task consisted of four conditions: standard target (G), novel (N), neutral (Z) and noisy target (NG). First running average reaction times of each condition was made. In the second level analysis, ‘distracted’ participants evoke brain activations and differences in both hemispheres neural network for selective attention as previously reported while the participants, as a whole, demonstrated mainly left cortical and subcortical activations. A context analysis was run in the behaviourally distracted participant group contrasting the trials immediately prior to the G trials, namely one of the Z, N or NG conditions. Results showed different prefrontal activations were evoked dependent on prior context in auditory modality with recruiting from 1 to 10 brain prefrontal areas. The more motor response and influence of the previous novel stimulus the more prefrontal areas, which extend hierarchical studies of prefrontal control of attention and explain better how the auditory processing interferes with movement. Also, it was addressed how subcortical loops and model of previous motor response affected the signal processing the novel stimulus, lateralized or simultaneously, with the Target. This model makes the first grasp to understand how auditory stimulus is changing motor responses in a kind of self-induced motor response. Moreover, current BCI works address some multimodal stimulus-driven systems.

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Reference frames in the decisions of hand choice

Cited by 13 publications

References 49 publications

The neural basis of hand choice: An fMRI investigation of the Posterior Parietal Interhemispheric Competition model

The neural basis of hand choice: An fMRI investigation of the Posterior Parietal Interhemispheric Competition model

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

Prior context influences motor brain areas in an auditory oddball task and prefrontal cortex multitasking modelling

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