Amplitude-dependency of response of SI cortex to flutter stimulation

Simons, Stephen B.; Tannan, Vinay; Chiu, Joannellyn S; Favorov, Oleg V.; Whitsel, B. L.; Tommerdahl, Mark

doi:10.1186/1471-2202-6-43

Cited by 51 publications

(19 citation statements)

References 29 publications

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“…Further, the evidence presented here strongly suggests that the improved discriminability with adaptation results from a sharpening of the spatial response at the level of S1. Intrinsic optical imaging results in the anesthetized monkey have pointed to such a sharpening effect with adaptation (Simons et al, 2005; Tommerdahl et al, 2002). In previous studies in the vibrissa pathway, some evidence for spatial sharpening has been demonstrated in single unit recordings (Brumberg et al, 1996), local field potentials and intrinsic optical imaging (Sheth et al, 1998), and VSD imaging (Kleinfeld and Delaney, 1996), leading to speculation that this could enhance discriminability (Moore, 2004; Moore et al, 1999).…”

Section: Discussionmentioning

confidence: 99%

“…A wide range of studies characterizing cortical representations in the face of persistent or adapting stimuli (Lee and Whitsel, 1992; Sheth et al, 1998; Simons et al, 2005) have made qualitative inferences regarding the relationship between the observed spatial sharpening and the improved acuity in psychophysical studies (Tannan et al, 2006; Vierck and Jones, 1970). It is important to note, however, that a sharpened cortical response alone is not sufficient to improve discriminability, and that in many cases sharpened representations can lead to a reduction in information transmission (Pouget et al, 1999).…”

Section: Discussionmentioning

confidence: 99%

“…More recent perceptual studies in humans have demonstrated that sensory adaptation can lead to improved discriminability of tactile stimuli applied to the skin (Goble and Hollins, 1993; Tannan et al, 2006; Vierck and Jones, 1970). Separately, a number of studies have investigated the spatial sharpening of cortical representations in somatosensory cortex in response to repetitive, ongoing sensory stimulation (Lee and Whitsel, 1992; Moore et al, 1999; Sheth et al, 1998; Simons et al, 2005; Tommerdahl et al, 2002), posited as a potential mechanism for enhanced spatial acuity (Lee and Whitsel, 1992; Moore et al, 1999; Vierck and Jones, 1970). However, the precise relationship between psychophysical findings and the underlying mechanisms responsible for these observations is unknown.…”

Section: Introductionmentioning

confidence: 99%

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The Adaptive Trade-Off between Detection and Discrimination in Cortical Representations and Behavior

Ollerenshaw

Zheng

Millard

et al. 2014

Neuron

103

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SUMMARY It has long been posited that detectability of sensory inputs can be sacrificed in favor of improved discriminability, and that sensory adaptation may mediate this trade-off. The extent to which this trade-off exists behaviorally, and the complete picture of the underlying neural representations that likely subserve the phenomenon, remain unclear. In the rodent vibrissa system, an ideal observer analysis of cortical activity measured using voltage sensitive dye (VSD) imaging in anesthetized animals was combined with behavioral detection and discrimination tasks, thalamic recordings from awake animals, and computational modeling to show that spatial discrimination performance was improved following adaptation, but at the expense of the ability to detect weak stimuli. Together, these results provide direct behavioral evidence for the trade-off between detectability and discriminability, that this trade-off can be modulated through bottom-up sensory adaptation, and that these effects correspond to important changes in thalamocortical coding properties.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Adaptive Trade-Off between Detection and Discrimination in Cortical Representations and Behavior

Ollerenshaw

Zheng

Millard

et al. 2014

Neuron

103

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“…This supports the view that spikecount-based neural codes may be more suitable for representing the stimulus magnitude as presented in the current paper. Furthermore, optical intrinsic imaging revealed that as the stimulus amplitude is increased, the spatial spread of cortical activation remains relatively constant while the activity within this region progressively increases (Simons et al 2005). The activity in the immediate surrounding regions decreases due to inhibition and this may be the evidence for contactor size decoding performed by the somatosensory cortex to disentangle stimulus intensity and contactor size.…”

Section: ; Dementioning

confidence: 97%

Neural coding in the Non-Pacinian I tactile channel: A psychophysical and simulation study of magnitude estimation

Güçlü

Dincer

2012

Somatosensory & Motor Research

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Psychophysical experiments and model simulations were performed to identify plausible neural codes representing stimulus magnitude in the Non-Pacinian I (NP I) tactile channel associated with rapidly adapting fibers. Sinusoidal mechanical displacements were applied on the fingertips of eight human subjects. The NP I channel was isolated by elevating the thresholds of the Pacinian (P) channel during forward masking. Psychophysical magnitude estimates were obtained at 40 Hz for the NP I channel and at 250 Hz for the P channel by using a small contactor (radius: 2 mm). The P channel was additionally tested with a larger contactor (radius: 4.3 mm) to compensate for the lower innervation density of the Pacinian fibers. The magnitude estimates were fitted by power functions. The exponent (1.02) obtained with the large contactor for the P channel was higher than the exponent (0.68) obtained with the small contactor, but it was not statistically different from the exponent (1.21) obtained with the small contactor for the NP I channel. This suggests that the exponent increases when more fibers are recruited in the P channel. Six hypothetical neural codes were tested by using a computational population model for the rapidly adapting afferents. The validity of each code was evaluated by comparing psychophysical and simulation exponents, by finding the correlations between the magnitude estimates and the neural code results, and by a novel distance metric for measuring the proximity between the data sets. The codes based on the number of active fibers, the total spike count, the mean and the standard deviation of the spike count distribution yielded the best results, while the codes based on the interspike intervals were not related with the magnitude estimates.

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“…Using these techniques, consistent abnormalities in basic tactile detection and thresholds, and difficulties with tactile adaptation (i.e., the ability to adjust one’s sense based upon prior sensory experiences) have been identified for individuals with ASD (Puts et al 2014). While for typically developing (TD) individuals the presence of an adapting stimulus is thought to reduce the perceived intensity of subsequent stimuli through alterations in neuronal firing (Simons et al 2005); this effect is not consistently observed in individuals with ASD. Specifically, amplitude discrimination (i.e., the ability to identify which stimulus is stronger) and detection threshold (i.e., the minimum stimulus that can be perceived) in TD adults and children worsens with presentation of an adapting stimulus; this effect is not observed in adults and children with ASD (Tommerdahl et al 2007; Puts et al 2014).…”

Section: Introductionmentioning

confidence: 99%

The Role of Attention in Somatosensory Processing: A Multi-trait, Multi-method Analysis

Wodka

Puts

Mahone

et al. 2016

J Autism Dev Disord

Self Cite

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Sensory processing abnormalities in autism have largely been described by parent report. This study used a multi-method (parent-report and measurement), multi-trait (tactile sensitivity and attention) design to evaluate somatosensory processing in ASD. Results showed multiple significant within-method (e.g., parent report of different traits)/cross-trait (e.g., attention and tactile sensitivity) correlations, suggesting that parent-reported tactile sensory dysfunction and performance-based tactile sensitivity describe different behavioral phenomena. Additionally, both parent-reported tactile functioning and performance-based tactile sensitivity measures were significantly associated with measures of attention. Findings suggest that sensory (tactile) processing abnormalities in ASD are multifaceted, and may partially reflect a more global deficit in behavioral regulation (including attention). Challenges of relying solely on parent-report to describe sensory difficulties faced by children/families with ASD are also highlighted.

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Amplitude-dependency of response of SI cortex to flutter stimulation

Cited by 51 publications

References 29 publications

The Adaptive Trade-Off between Detection and Discrimination in Cortical Representations and Behavior

The Adaptive Trade-Off between Detection and Discrimination in Cortical Representations and Behavior

Neural coding in the Non-Pacinian I tactile channel: A psychophysical and simulation study of magnitude estimation

The Role of Attention in Somatosensory Processing: A Multi-trait, Multi-method Analysis

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