Dorsal and ventral processing streams of somatosensory system in human

Ryun, Seokyun; Kim, Minkyu; Kim, June Sic; Chung, Chun Kee

doi:10.1016/j.ibror.2019.07.1332

Cited by 4 publications

(11 citation statements)

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“…In the future, a standardized battery of textural stimuli would aid researchers to align and compare findings across studies, laboratories, and geographical regions. Furthermore, concordant activation identified in the SI, MI, PMv, IPL, SII, and insula parallels human electrophysiological mapping studies (Ryun et al., 2023; Ryun, Kim, Jeon, et al., 2017; Ryun, Kim, Lee, et al., 2017), providing further evidence that these areas contribute to tactile perception. While a larger sample size of 17–20 studies is recommended to detect small effects (Eickhoff et al., 2016), the alignment of these findings suggests that the current findings are robust.…”

Section: Discussionsupporting

confidence: 75%

“…Concordant activation was identified in both the bilateral PMv and SMA across two ALE analyses, one that considered all studies irrespective of the control condition and the other that only considered baselines that did not account for other haptic elements (i.e., non‐haptic control). The PMv is associated with both tactile processing (Avanzini et al., 2016; Ryun et al., 2023) and movement‐related functions, including grasping and object manipulation (Davare et al., 2006, 2008, 2009; Fogassi et al., 2001; Reader & Holmes, 2018; Vingerhoets et al., 2013). In non‐human primates, the PMv has been linked to the evaluation of sensory information for guiding motor action (Romo et al., 2004).…”

Section: Discussionmentioning

confidence: 99%

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The neural correlates of texture perception: A systematic review and activation likelihood estimation meta‐analysis of functional magnetic resonance imaging studies

Henderson,

Mari,

Hewitt

et al. 2023

Brain and Behavior

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IntroductionHumans use discriminative touch to perceive texture through dynamic interactions with surfaces, activating low‐threshold mechanoreceptors in the skin. It was largely assumed that texture was processed in primary somatosensory regions in the brain; however, imaging studies indicate heterogeneous patterns of brain activity associated with texture processing.MethodsTo address this, we conducted a coordinate‐based activation likelihood estimation meta‐analysis of 13 functional magnetic resonance imaging studies (comprising 15 experiments contributing 228 participants and 275 foci) selected by a systematic review.ResultsConcordant activations for texture perception occurred in the left primary somatosensory and motor regions, with bilateral activations in the secondary somatosensory, posterior insula, and premotor and supplementary motor cortices. We also evaluated differences between studies that compared touch processing to non‐haptic control (e.g., rest or visual control) or those that used haptic control (e.g., shape or orientation perception) to specifically investigate texture encoding. Studies employing a haptic control revealed concordance for texture processing only in the left secondary somatosensory cortex. Contrast analyses demonstrated greater concordance of activations in the left primary somatosensory regions and inferior parietal cortex for studies with a non‐haptic control, compared to experiments accounting for other haptic aspects.ConclusionThese findings suggest that texture processing may recruit higher order integrative structures, and the secondary somatosensory cortex may play a key role in encoding textural properties. The present study provides unique insight into the neural correlates of texture‐related processing by assessing the influence of non‐textural haptic elements and identifies opportunities for a future research design to understand the neural processing of texture.

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Section: Discussionsupporting

confidence: 75%

Section: Discussionmentioning

confidence: 99%

The neural correlates of texture perception: A systematic review and activation likelihood estimation meta‐analysis of functional magnetic resonance imaging studies

Henderson,

Mari,

Hewitt

et al. 2023

Brain and Behavior

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“…A detailed description of the vibrotactile and texture stimulators is in our previous study (Ryun et al, 2023). For the complex vibrotactile stimulation, we designed a custom-made pin-point magnetic vibrator using a Minishaker (model 4810; Brüel and Kjaer).…”

Section: Apparatusmentioning

confidence: 99%

“…In the human somatosensory system, the HG activity has been consistently observed during somatosensory stimulation not only in the primary somatosensory cortex (S1) but also in the downstream areas, including secondary somatosensory cortex (S2), posterior parietal cortex (PPC) and premotor cortex (PM) (Avanzini et al, 2016;Ryun et al, 2017b;Ryun et al, 2023). In our previous study, we suggested that this activity in somatosensoryrelated areas may be related to the perceptual processing of somatosensation (Ryun et al, 2023). However, its mechanisms and functional roles have been poorly understood even in S1.…”

Section: Introductionmentioning

confidence: 99%

Distinct Functional Roles of Narrow and Broadband High-Gamma Activities in Human Primary Somatosensory Cortex

Ryun,

Chung

2024

Preprint

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In previous studies, higher (broadband) and lower (narrowband) components of high-gamma (HG) activity (approximately from 50 to 150 Hz) have different functions and origins in the primary visual cortex (V1). However, in the primary somatosensory cortex (S1), it is unknown whether those are similarly segregated. Furthermore, the origin and functional role of S1 HG activity still remain unclear. Here, we investigate their roles by measuring neural activity during vibrotactile and texture stimuli in humans. Also, to estimate their origins, S1 layer-specific HG activity was measured in rats during somatosensory stimulation. In the human experiment, with texture stimulation, the lower HG activity (LHG, 50-70 Hz) in S1 represents the intensity of the sustained mechanical stimulus. In the vibrotactile experiment, the higher HG (HHG, 70 -150 Hz) activity in S1 depended on the ratio of low and high mechanical frequencies with its pattern being a mixture of neural activity for low and high mechanical frequencies. Furthermore, 8 texture types could be classified using power values of HHG activity, while the classification using LHG activity showed poor performance. In the rat experiment, we found that both HHG and LHG activities are highest in the somatosensory input layer (layer IV), similar to previous visual cortex studies. Interestingly, analysis of spike-triggered LFP (stLFP) revealed significant HG oscillations during pressure stimulation with the stLFP HG power most significant in layer IV, suggesting that both LHG and HHG activities are closely related to the neuronal firing in layer IV. In summary, LHG activity represents the intensity of tactile sensation, while HHG activity represents the detail of the surface geometry of objects interacting with skin. Additionally, low and high mechanical frequencies are processed in parallel in S1. Finally, both HHG and LHG originated in layer IV of S1.

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“…In our previous study, we showed that downstream areas of somatosensory network including ventral premotor cortex (vPM) also elicit somatosensory percept of hand by cortical stimulation (Ryun et al, 2023). Interestingly, previous findings indicated that negative motor responses (complete inhibition of movement or a phenomenon in which the subject is unable to move by DCS even though the subject wants to move) are induced by stimulating the precentral cortex and surrounding areas, including ventral premotor cortex (negative motor phenomenon) (Filevich et al, 2012; Luders et al, 1995; Penfield and Jasper, 1954; Rech et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Single and Multi-Site Cortical Stimulation Related to Human Sensorimotor Function

Ryun,

Chung

2024

Preprint

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Somatosensory feedback is crucial for precise control of our body and thereby affects various sensorimotor-related brain areas for movement control. Electrical stimulation on the primary somatosensory cortex (S1) elicits various artificial somatosensations. However, replicating the spatiotemporal dynamics of somatosensory feedback and fine control of elicited somatosensation are still challenging. Furthermore, how and where the somatosensory feedback interacts with neural activity for sensorimotor processing is unclear. Here, we replicate the spatiotemporal dynamics of somatosensory feedback and control the quality of elicited somatosensation using multi-site direct cortical stimulation (DCS). We also investigate how and where the neural feedback activity interacts with neural activity for motor processing by stimulating the downstream areas of the S1. We found that multi-site DCS on the S1 elicits different sensations simultaneously. Using the artificial feedback, blindfolded patients could efficiently perform a DCS-guided reach-and-grasp task successfully. Interestingly, we also found that multi-site DCS close to each other elicits different qualities of somatosensation in the same body part. Additionally, we found that DCS on the ventral premotor area (vPM) can affect hand grasping with eliciting artificial sensation of the hand. Throughout this study, we showed that semi-invasive, macro-level, and multi-site DCS can precisely elicit/modulate somatosensations in human. We suggest that activation of multiple cortical areas elicits simultaneous and independent somatosensations and that interplay among the stimulated sites can change the somatosensation quality. Finally, the results of vPM stimulation indicate that vPM has a critical role in function-specific sensorimotor interactions, such as hand grasping.

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Dorsal and ventral processing streams of somatosensory system in human

Cited by 4 publications

References 0 publications

The neural correlates of texture perception: A systematic review and activation likelihood estimation meta‐analysis of functional magnetic resonance imaging studies

The neural correlates of texture perception: A systematic review and activation likelihood estimation meta‐analysis of functional magnetic resonance imaging studies

Distinct Functional Roles of Narrow and Broadband High-Gamma Activities in Human Primary Somatosensory Cortex

Single and Multi-Site Cortical Stimulation Related to Human Sensorimotor Function

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