Sleep Wrinkles: Facial Aging and Facial Distortion During Sleep

Anson, Goesel; Kane, Michael; Lambros, Val

doi:10.1093/asj/sjw074

Cited by 20 publications

(34 citation statements)

References 57 publications

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“…(v) Ercan et al [3] proposed that there is a correlation between the level of facial asymmetry and facial side. Anson et al [31] explored that facial wrinkles are developed by the compression during sleep which also contribute to facial skin expansion. The experimental results presented in our study support these notions, by showing that bilateral facial asymmetry based asymmetric right face images can be used for age estimation of a given face image with reduced MAE compared to its counterparts i.e., the original and left asymmetric face images.…”

Section: Discussionmentioning

confidence: 99%

The Impact of Asymmetric Left and Asymmetric Right Face Images on Accurate Age Estimation

Sajid

Ratyal

Ali

et al. 2019

Mathematical Problems in Engineering

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Aging affects left and right half face differently owing to numerous factors such as sleeping habits, exposure to sun light, and weaker face muscles of one side of face. In computer vision, age of a given face image is estimated using features that are correlated with age, such as moles, scars, and wrinkles. In this study we report the asymmetric aging of the left and right sides of face images and its impact on accurate age estimation. Left symmetric faces were perceived as younger while right symmetric faces were perceived as older when presented to the state-of-the-art age estimator. These findings show that facial aging is an asymmetric process which plays role in accurate facial age estimation. Experimental results on two large datasets verify the significance of using asymmetric right face image to estimate the age of a query face image more accurately compared to the corresponding original or left asymmetric face image.

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Section: Discussionmentioning

confidence: 99%

The Impact of Asymmetric Left and Asymmetric Right Face Images on Accurate Age Estimation

Sajid

Ratyal

Ali

et al. 2019

Mathematical Problems in Engineering

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“…Exhibit 1: Pierard Classification of Wrinkles [26]  Atrophic wrinkles develop in exposed and nonexposed skin, disappear with skin traction, change in orientation with body posture, and are due to atrophy of the extracellular matrix.  Elastotic wrinkles develop in sun exposed skin, exhibit solar elastosis, become progressively permanent, and do not disappear with perpendicular traction.…”

Section: Factors Involved In Skin Agingmentioning

confidence: 99%

“…Expression wrinkles and sleep wrinkles differ in etiology, location, and anatomical pattern. Compression, shear, and stress forces act on the face in lateral or prone sleep positions ( Figure 6) [26]. [26].…”

Section: C) Lifestyle-related Factorsmentioning

confidence: 99%

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Skin Aging & Modern Age Anti-aging Strategies

Mohiuddin¹

2019

GJMR

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As the most voluminous organ of the body that is exposed to the outer environment, the skin suffers from both intrinsic and extrinsic aging factors. Skin aging is characterized by features such as wrinkling, loss of elasticity, laxity, and rough-textured appearance. This aging process is accompanied with phenotypic changes in cutaneous cells as well as structural and functional changes in extracellular matrix components such as collagens and elastin. With intrinsic aging, structural changes occur in the skin as a natural consequence of the biological changes over time and produce a certain number of histological, physiological, and biochemical modifications. Intrinsic aging is determined genetically (influence of gender and ethnic group), variable in function of skin site, and also influenced by hormonal changes. Visually it is characterized by fine wrinkles. By comparison, “photoaging” is the term used to describe the changes occurring in the skin, resulting from repetitive exposure to sunlight. The histological, physiological, and biochemical changes in the different layers of the skin are much more drastic. From a mechanical point of view, human skin appears as a layered composite containing the stiff thin cover layer presented by the stratum corneum, below which are the more compliant layers of viable epidermis and dermis and further below the much more compliant adjacent layer of subcutaneous white adipose tissue.

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“…Usually skin wrinkles emerge and increase along with the aging processes, and extensive skin wrinkles exist in elder mammals, especially for facial wrinkles. According to histological differences and possible causes, skin wrinkles were typically classified into five categories: atrophic wrinkles, elastotic wrinkles, expressional wrinkles, gravitational wrinkles and sleep wrinkles, respectively [1–4]. It has been reported that many intrinsic and extrinsic factors contributed to skin wrinkle development and formation [4, 5], which included slower epidermal turnover, increased skin fragility, decreased nutrients transfer between skin layers, loss of sebaceous glands and reduced oil production in skin, loss of fat support and less padding of fat tissue under skin, ultraviolet oxidative damage, harsh weather and pollution, and repeated skin movement.…”

Section: Introductionmentioning

confidence: 99%

Genome-wide association and evolutionary analyses reveal the formation of swine facial wrinkles in Chinese Erhualian pigs

Huang

Zhang

Yan

et al. 2019

Aging

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Wrinkles are uneven concave-convex folds, ridges or creases in skin. Facial wrinkles appear in head, typically increasing along with aging. However in several Chinese indigenous pigs, such as Erhualian pigs, rich facial wrinkles have been generated during the growth stages as one of their breed characteristics. To investigate the genetic basis underlying the development of swine facial wrinkles, we estimated the folding extent of facial wrinkles in a herd of Erhualian pigs (n=332), and then conducted genome-wide association studies and multi-trait meta-analysis for facial wrinkles using 60K porcine chips. We found that facial wrinkles had high heritability estimates of ~0.7 in Erhualian pigs. Notably, only one genome-wide significant QTL was detected at 34.8 Mb on porcine chromosome 7. The most significant SNP rs80983858 located at the 3255-bp downstream of candidate gene GRM4 , and the G allele was of benefit to increase facial wrinkles. Evolutionary and selection analyses suggested that the haplotypes containing G allele were under artificial selection, which was consistent with local animal sacrificial custom praying for longevity. Our findings made important clues for further deciphering the molecular mechanism of swine facial wrinkles formation, and shed light on the research of skin wrinkle development in human or other mammals.

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Sleep Wrinkles: Facial Aging and Facial Distortion During Sleep

Cited by 20 publications

References 57 publications

The Impact of Asymmetric Left and Asymmetric Right Face Images on Accurate Age Estimation

The Impact of Asymmetric Left and Asymmetric Right Face Images on Accurate Age Estimation

Skin Aging & Modern Age Anti-aging Strategies

Genome-wide association and evolutionary analyses reveal the formation of swine facial wrinkles in Chinese Erhualian pigs

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