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1.
Neuropsychologia ; 129: 179-190, 2019 06.
Article in English | MEDLINE | ID: mdl-30928337

ABSTRACT

Responsiveness to suggestions while hypnotized is termed hypnotic susceptibility. An association between reaction time and hypnotic susceptibility has been demonstrated, but whether distinct changes in brain activity accompany this relationship remains unclear. We investigated the effect of hypnotic susceptibility on the speed of information processing and motor cortical preparatory activity. Twenty-one "low" (LowHS) and fifteen "high" (HighHS) hypnotically susceptible right-handed participants performed precued simple (SRT) and choice (CRT) reaction time key-press tasks under hypnotized and non-hypnotized conditions. Force and surface electromyography data were recorded from left and right index fingers. The contingent negative variation (CNV) was derived from electroencephalography data. Mean reaction time and premotor time was shorter in HighHS participants than LowHS participants for both simple and choice reaction time tasks. HighHS participants in the hypnotized state performed fewer errors than HighHS participants in the non-hypnotized state and LowHS participants in either state for the SRT task. HighHS participants made fewer errors overall than LowHS participants for the CRT task. Mean C3/C4 CNV amplitude was larger in HighHS than in LowHS participants. Furthermore, larger CNV amplitude was associated with shorter premotor time. Our findings indicate that shorter reaction time in the high hypnotically susceptible group is associated with a greater change in brain activity during motor preparation. One interpretation is that hypnotic susceptibility and neural mechanisms of arousal and selective attention are linked.


Subject(s)
Attention/physiology , Contingent Negative Variation/physiology , Hypnosis , Motor Activity/physiology , Motor Cortex/physiology , Psychomotor Performance/physiology , Reaction Time/physiology , Adult , Electroencephalography , Electromyography , Female , Humans , Male , Young Adult
2.
Cereb Cortex ; 28(7): 2326-2339, 2018 07 01.
Article in English | MEDLINE | ID: mdl-28591803

ABSTRACT

Developing models of the dynamic and complex patterns of information processing that take place during behavior is a major thrust of systems neuroscience. An underlying assumption of many models is that the same set of rules applies across different conditions. This has been the case for directional tuning during volitional movement; a single cosine function has been remarkably robust for describing the encoding of movement direction in different types of neurons, in many locations of the nervous system, and even across species. However, detailed examination of the tuning time course in motor cortex suggests that direction coding may be labile. Here, we show that there are discrete time epochs within single reaches, between which individual neurons change their tuning. Our findings suggest that motor cortical activity patterns may reflect consistent changes in the state of the control system during center-out reaching. These transitions are likely linked to different behavioral components, suggesting that the task defines changes in the operational structure of the control system.


Subject(s)
Attention/physiology , Models, Neurological , Motor Cortex/cytology , Movement/physiology , Neurons/physiology , Orientation/physiology , Animals , Biomechanical Phenomena , Macaca mulatta , Male , Photic Stimulation , Psychomotor Performance , Time Factors
3.
Article in English | MEDLINE | ID: mdl-23366054

ABSTRACT

In the field of neuroprosthetic control, there is an emerging need for simplified control of high-dimensional devices. Advances in robotic technology have led to the development of prosthetic arms that now approach the look and number of degrees of freedom (DoF) of a natural arm. These arms, and especially hands, now have more controllable DoFs than the number of control DoFs available in many applications. In natural movements, high correlations exist between multiple joints, such as finger flexions. Therefore, discrepancy between the number of control and effector DoFs can be overcome by a control scheme that maps low-DoF control space to high-DoF joint space. Imperfect effectors, sensor noise and interactions with external objects require the use of feedback controllers. The incorporation of feedback in a system where the command is in a different space, however, is challenging, requiring a potentially difficult inverse high-DoF to low-DoF transformation. Here we present a solution to this problem based on the Extended Kalman Filter.


Subject(s)
Artificial Limbs , Movement , Prosthesis Design , Robotics/methods , Fingers , Humans , Motion
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