This study investigated the hypothesis that a simple intensive code, based on mean firing rate, could explain the cortical representation of subjective roughness intensity and its invariance with scanning speed. We examined the sensitivity of neurons in the cutaneous, finger representation of primary somatosensory cortex (S1) to a wide range of textures [1 mm high, raised-dot surfaces; spatial periods (SPs), 1.5-8.5 mm], scanned under the digit tips at different speeds (40-115 mm/s). Since subjective roughness estimates show a monotonic increase over this range and are independent of speed, we predicted that the mean firing rate of a subgroup of S1 neurons would share these properties. Single-unit recordings were made in four alert macaques (areas 3b, 1 and 2). Cells whose discharge rate showed a monotonic increase with SP, independent of speed, were particularly concentrated in area 3b. Area 2 was characterized by a high proportion of cells sensitive to speed, with or without texture sensitivity. Area 1 had intermediate properties. We suggest that area 3b and most likely area 1 play a key role in signaling roughness intensity, and that a mean rate code, signaled by both slowly and rapidly adapting neurons, is present at the level of area 3b. Finally, the substantial proportion of neurons that showed a monotonic change in discharge limited to a small range of SPs (often independent of response saturation) could play a role in discriminating smaller changes in SP.
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http://dx.doi.org/10.1152/jn.00303.2015 | DOI Listing |
Pharm Dev Technol
January 2025
Department of Dermatology, Venereology and Andrology, Faculty of Medicine, Alexandria University, Egypt.
Tear trough deformity (TTD) is a significant cosmetic concern, with current treatments relying primarily on invasive injectable fillers, which are costly and carry risks of complications. Despite the widespread use of hyaluronic acid (HA) in cosmetic applications, its poor dermal permeation has limited the development of effective topical fillers for TTD.This study aim to develop and evaluate a novel hyaluronic acid nanogel (nanofiller, NF) as a non-invasive topical filler for TTD.
View Article and Find Full Text PDFJ Cosmet Dermatol
January 2025
Human Dermatology Clinic, Incheon, Republic of Korea.
Background: Intradermal injection of CPM-HA20G, a low-viscoelasticity hyaluronic acid (HA) dermal filler with glycerol, has been shown to be effective for facial rejuvenation in Caucasians, but research in Asians is limited.
Aims: This study aimed to evaluate the effectiveness and safety of CPM-HA20G in enhancing facial skin quality in Korean women using a protocol developed by local aesthetic experts.
Patients/methods: In this 24-week prospective, single-arm, open-label study, 20 women received CPM-HA20G injections in the immediate subdermal layer on the anterior cheek (1 mL per side; total 2 mL) in three sessions every 4 weeks.
Sci Rep
January 2025
Key Laboratory of Cosmetic, China National Light Industry, Beijing Technology and Business University, Beijing, China.
Oily sensitive skin is complex and requires accurate identification and personalized care. However, the current classification method relies on subjective assessment. This study aimed to classify skin type and subtype using objective biophysical parameters to investigate differences in skin characteristics across anatomical and morphological regions.
View Article and Find Full Text PDFSci Data
December 2024
Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 28040, Madrid, Spain.
The screening of Parkinson's Disease (PD) through speech is hindered by a notable lack of publicly available datasets in different languages. This fact limits the reproducibility and further exploration of existing research. To address this gap, this manuscript presents the NeuroVoz corpus consisting of 112 native Castilian-Spanish speakers, including 58 healthy controls and 54 individuals with PD, all recorded in ON state.
View Article and Find Full Text PDFFront Plant Sci
October 2024
School of Food Engineering, Yantai Key Laboratory of Nanoscience and Technology for Prepared Food, Yantai Engineering Research Center of Food Green Processing and Quality Control, Ludong University, Yantai, Shandong, China.
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