Gamma oscillations are involved in the sensorimotor transformation of pain

2012 ◽  
Vol 108 (4) ◽  
pp. 1025-1031 ◽  
Author(s):  
Enrico Schulz ◽  
Laura Tiemann ◽  
Viktor Witkovsky ◽  
Paul Schmidt ◽  
Markus Ploner

Pain signals threat and initiates motor responses to avoid harm. The transformation of pain into a motor response is thus an essential part of pain. Here, we investigated the neural mechanisms subserving the sensorimotor transformation of pain at the cortical level by using electroencephalography. In a simple reaction time experiment, brief painful stimuli were delivered to the left hand of healthy human subjects who responded with button presses of the right hand. The results show that the simple reaction time task was associated with neuronal responses at delta/theta, alpha/beta, and gamma frequencies. The analysis of the relationship between neuronal activity and response speed revealed that gamma oscillations, which were temporally coupled to the painful stimuli, but not temporally coupled to the motor response, predicted reaction times. Lateralization of gamma oscillations indicates that they originate from motor areas rather than from sensory areas. We conclude that gamma oscillations are involved in the sensorimotor transformation of pain whose efficiency they reflect. We hypothesize that the relationship between stimulus-locked gamma oscillations and reaction times reflects a direct thalamo-motor route of nociceptive information that is central to the biological function of pain.

2021 ◽  
Vol 11 (5) ◽  
pp. 669
Author(s):  
Paweł Krukow ◽  
Małgorzata Plechawska-Wójcik ◽  
Arkadiusz Podkowiński

Aggrandized fluctuations in the series of reaction times (RTs) are a very sensitive marker of neurocognitive disorders present in neuropsychiatric populations, pathological ageing and in patients with acquired brain injury. Even though it was documented that processing inconsistency founds a background of higher-order cognitive functions disturbances, there is a vast heterogeneity regarding types of task used to compute RT-related variability, which impedes determining the relationship between elementary and more complex cognitive processes. Considering the above, our goal was to develop a relatively new assessment method based on a simple reaction time paradigm, conducive to eliciting a controlled range of intra-individual variability. It was hypothesized that performance variability might be induced by manipulation of response-stimulus interval’s length and regularity. In order to verify this hypothesis, a group of 107 healthy students was tested using a series of digitalized tasks and their results were analyzed using parametric and ex-Gaussian statistics of RTs distributional markers. In general, these analyses proved that intra-individual variability might be evoked by a given type of response-stimulus interval manipulation even when it is applied to the simple reaction time task. Collected outcomes were discussed with reference to neuroscientific concepts of attentional resources and functional neural networks.


1994 ◽  
Vol 79 (2) ◽  
pp. 995-1002 ◽  
Author(s):  
Piotr Jaśkowski ◽  
Marek Wróblewski ◽  
Dorota Hojan-Jezierska

For 20 subjects reaction times and force of response were measured on a simple reaction time task to visual stimuli while activation was manipulated by occasionally delivering a noninformative electrical shock. In blocks in which shocks were delivered, forces of response were larger than those in control blocks without shocks. The results are discussed in terms of Sanders' mode! of stress.


1988 ◽  
Vol 66 (1) ◽  
pp. 107-112 ◽  
Author(s):  
Andrew J. Tilley ◽  
Philip Bohle

8 subjects performed an unprepared simple reaction time task for 20 min. every 2 hr. while taking part in an all night disco dancing marathon (continuous exercise) and during a control (no exercise) night. Mean reaction times were significantly faster and less variable during the dance marathon. It was suggested that the effects of continuous exercise in the form of disco dancing may be to reduce drowsiness which in turn assists performance.


1976 ◽  
Vol 16 (3) ◽  
pp. 311-315 ◽  
Author(s):  
Patricia T. Michie ◽  
Alex M. Clarke ◽  
John D. Sinden ◽  
Leonard C.T. Glue

1999 ◽  
Vol 128 (1-2) ◽  
pp. 256-261 ◽  
Author(s):  
Gregor Thut ◽  
Claude-Alain Hauert ◽  
Stéphanie Morand ◽  
Margitta Seeck ◽  
Theodor Landis ◽  
...  

1965 ◽  
Vol 20 (3) ◽  
pp. 961-966 ◽  
Author(s):  
Monte Buchsbaum ◽  
Enoch Callaway

The effect of respiration on simple auditory reaction time was studied. In the first study, reaction times and respiratory phase data were collected during spontaneous breathing; in Study 2, a warning light signaled S to hold his breath in either inspiration or expiration. Both experiments showed faster reaction times with expiration. This is contradictory to reaction time findings reported by other investigators who have studied effects of respiration.


2017 ◽  
Vol 52 (8) ◽  
pp. 766-770 ◽  
Author(s):  
Gianluca Del Rossi

Context:  A change in reaction time is one of various clinical measures of neurocognitive function that can be monitored after concussion and has been reported to be among the most sensitive indicators of cognitive impairment. Objective:  To determine the timeline for clinically assessed simple reaction time to return to baseline after a concussion in high school athletes. Design:  Observational study. Setting:  Athletic training room. Patients or Other Participants:  Twenty-one high school-aged volunteers. Intervention(s):  Participants completed 8 trials of the ruler-drop test during each session. Along with baseline measures, a total of 6 additional test sessions were completed over the course of 4 weeks after a concussion (days 3, 7, 10, 14, 21, and 28). Main Outcome Measure(s):  The mean reaction times calculated for all participants from each of the 7 test sessions were analyzed to assess the change in reaction time over the 7 time intervals. Results:  After a concussion and compared with baseline, simple reaction time was, on average, 26 milliseconds slower at 48 to 72 hours postinjury (P < .001), almost 18 milliseconds slower on day 7 (P < .001), and about 9 milliseconds slower on day 10 (P < .001). Simple reaction time did not return to baseline levels until day 14 postinjury. Conclusions:  Clinically assessed simple reaction time appeared to return to baseline levels within a timeframe that mirrors other measures of cognitive performance (approximately 14 days).


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