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Face

Anatomy and Physiology · NLM MeSH · updated 2026-10-31 · version 1

Citations verified against PubMedNot yet clinician-reviewed9 referencesApproximately 3 min read

The anterior portion of the head that includes the skin, muscles, and structures of the forehead, eyes, nose, mouth, cheeks, and jaw.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 3 complete abstracts (504 words), 9 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

The anterior portion of the head that includes the skin, muscles, and structures of the forehead, eyes, nose, mouth, cheeks, and jaw.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Faces.

Where it fits in the MeSH classification

Broader topics
Head
Narrower topics
Cheek; Chin; Eye; Forehead; Mouth; Nasolabial Fold; Nose; Parotid Region; Superficial Musculoaponeurotic System

Research landscape

PubMed indexes 185,420 records tagged with the MeSH heading “Face” (counts retrieved 2026-10-31). 27,267 of them (14.7%) were published from 2020 onward, and the busiest period so far is through 1999 with 85,277 records.

Reviews account for 14,837 records (8.0%) and meta-analyses for 513. Randomized controlled trials number 3,887 (2.1%) as a share of all records on the topic.

PubMed records by publication periodthrough 1999: 85,277 records; 2000-2009: 30,029 records; 2010-2019: 42,847 records; 2020 onward: 27,267 records85,277through 199930,0292000-200942,8472010-201927,2672020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 199985,277
2000-200930,029
2010-201942,847
2020 onward27,267
Share of records by publication typeReviews: 8.0 percent; Meta-analyses: 0.3 percent; Randomized controlled trials: 2.1 percentReviews8.0% (14,837)Meta-analyses0.3% (513)Randomized controlled trials2.1% (3,887)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 185,420 PubMed records
TypeRecordsShare
Reviews14,8378.0%
Meta-analyses5130.3%
Randomized controlled trials3,8872.1%

Method: PubMed query "Face"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-31.

Reading the evidence in anatomy and physiology

Anatomy describes how body structures are built and physiology describes how they normally work, so most findings here are descriptive or mechanistic rather than evidence about treatment. Much of what is known comes from dissection, imaging, tissue studies and experiments in animals, and measurements in healthy volunteers can differ from those in people with disease or at different ages. Normal ranges vary between individuals and populations. Check whether a result was measured in people or in another species, the age and health of the participants, and the method used.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Neuroaesthetics: Evolutionary Thinking in Facial Aesthetic Medicine
Dayan S, Fabi S
2026Review article
Design not recorded in structured metadata
2cc by
PMID 42108601 · DOI · PMC13158439
The redefined identity of Prevotella: new implications for oral, respiratory, and vaginal health
Ntamubano S, Parker D, Kozik AJ
2026Review article
Design not recorded in structured metadata
1cc by
PMID 42430221 · DOI · PMC13492131
Comparing Facial Attractiveness and Professional Acceptance Between Real and AI-Generated Orthodontic Treatment Outcome Images
Gasparello GG, Tirkkonen O, Mota-Júnior SL, Martins FC, da Silva MAD, Tanaka OM
2026Research article
Design not recorded in structured metadata
1cc by
PMID 42149127 · DOI · PMC13543177

Neuroaesthetics: Evolutionary Thinking in Facial Aesthetic Medicine [1]

Review article Dayan S, Fabi S · · 2026 · cited 2 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundFacial aesthetic medicine has traditionally emphasized proportion, symmetry, and structural harmony based on anatomic and cultural ideals.
Closing excerpt
As patient expectations evolve, aesthetic providers should integrate these principles to achieve more natural and meaningful results.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (179 words)

BackgroundFacial aesthetic medicine has traditionally emphasized proportion, symmetry, and structural harmony based on anatomic and cultural ideals. However, rigid adherence to these principles may contribute to overcorrected, unnatural outcomes, challenging perceptions of authenticity. Although patients frequently request to "look natural," this concept remains poorly defined and is not systematically addressed in training.ObjectiveTo distinguish beauty, attractiveness, and naturalness and to propose neuroaesthetics as a framework for improving patient-centered outcomes in aesthetic medicine.MethodsNarrative synthesis of interdisciplinary literature integrating neuroscience, evolutionary psychology, and aesthetic medicine, with a focus on neural mechanisms underlying attractiveness, reward processing, and social perception.ResultsPerceptions of attractiveness and naturalness are mediated by neural systems involved in reward valuation, rapid first-impression formation, and embodied simulation. Overreliance on static structural ideals may overlook dynamic cues critical to social and emotional evaluation. Neuroaesthetic principles provide a biologically informed framework for aligning aesthetic interventions with perceptual and psychosocial responses.ConclusionsIncorporating neuroaesthetics represents a shift from structural optimization toward outcomes that prioritize authenticity, emotional resonance, and social perception. As patient expectations evolve, aesthetic providers should integrate these principles to achieve more natural and meaningful results.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42108601 · DOI · PMC13158439

The redefined identity of Prevotella: new implications for oral, respiratory, and vaginal health [2]

Review article Ntamubano S, Parker D, Kozik AJ · · 2026 · cited 1 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
For much of the 20th century, the field of bacteriology was dominated by a pathogen-centric view, which rightly focused scientific resources on identifying, characterizing, and eliminating the agents of infectious disease.
Closing excerpt
The knowledge derived from a mechanistic focus will offer profound benefits for understanding and treating complex polymicrobial diseases across multiple systems, including chronic respiratory infections, oral inflammatory conditions, and recurrent genitourinary dysbiosis.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (171 words)

For much of the 20th century, the field of bacteriology was dominated by a pathogen-centric view, which rightly focused scientific resources on identifying, characterizing, and eliminating the agents of infectious disease. However, this perspective has resulted in the relative neglect of abundant yet poorly characterized members of the human microbiota. Few genera embody this oversight more clearly than Prevotella. Despite being consistently found in high abundance across diverse human mucosal sites, including the oral cavity, airways, and vagina, the underlying physiological roles of the genus in both health and disease contexts remain largely unclear. This review traces the evolution of Prevotella research and classification, arguing that the traditional "friend or foe" dichotomy is insufficient. We contend that more mechanistic work at the species level is needed to elucidate the biology of Prevotella, especially after the most recent taxonomic reclassification. The knowledge derived from a mechanistic focus will offer profound benefits for understanding and treating complex polymicrobial diseases across multiple systems, including chronic respiratory infections, oral inflammatory conditions, and recurrent genitourinary dysbiosis.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42430221 · DOI · PMC13492131

Comparing Facial Attractiveness and Professional Acceptance Between Real and AI-Generated Orthodontic Treatment Outcome Images [3]

Research article Gasparello GG, Tirkkonen O, Mota-Júnior SL, Martins FC, da Silva MAD, Tanaka OM · · 2026 · cited 1 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundFacial attractiveness influences social and professional perceptions, including competence and employability.
Closing excerpt
AI-generated images were perceived as more attractive and had a greater positive impact on employability judgements compared to real post-treatment images.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (154 words)

BackgroundFacial attractiveness influences social and professional perceptions, including competence and employability. With the increasing use of artificial intelligence (AI) to generate photorealistic faces, it is important to understand how these images compare to real orthodontic treatment outcomes.ObjectiveTo compare perceptions of real versus AI-generated orthodontic treatment results in terms of attractiveness, employability, and distinguishability.MethodsA cross-sectional online survey included 288 Brazilian adults.ParticipantsDentists (n = 76), dental students (n = 63), and laypeople (n = 149). Each evaluated three sets of images (pre-treatment, post-treatment, and AI-generated post-treatment) for three patients. Participants rated facial attractiveness (VAS 0-100), assessed employability, and identified whether the image was AI-generated.ResultsAI-generated images were rated significantly more attractive than real post-treatment ones (mean VAS: AI = 68.8; Real = 54.4; p ConclusionParticipants showed limited ability to accurately distinguish between real and AI-generated images. AI-generated images were perceived as more attractive and had a greater positive impact on employability judgements compared to real post-treatment images.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42149127 · DOI · PMC13543177

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Emotional perception: meta-analyses of face and natural scene processing [4]
    Sabatinelli D, Fortune EE, Li Q, Siddiqui A, Krafft C, Oliver WT, et al. · Neuroimage · 2011 · cited 522 times (Europe PMC)
  • Research article Treatment and follow-up of oral dysplasia - a systematic review and meta-analysis [5]
    Mehanna HM, Rattay T, Smith J, McConkey CC · Head Neck · 2009 · cited 292 times (Europe PMC)
  • Research article The own-age bias in face recognition: a meta-analytic and theoretical review [6]
    Rhodes MG, Anastasi JS · Psychol Bull · 2012 · cited 231 times (Europe PMC)
  • Research article A meta-analysis and review of holistic face processing [7]
    Richler JJ, Gauthier I · Psychol Bull · 2014 · cited 222 times (Europe PMC)
  • Research article A meta-analysis of children's hand-to-mouth frequency data for estimating nondietary ingestion exposure [8]
    Xue J, Zartarian V, Moya J, Freeman N, Beamer P, Black K, et al. · Risk Anal · 2007 · cited 174 times (Europe PMC)
  • Research article The Clinical Utility of Methicillin-Resistant Staphylococcus aureus (MRSA) Nasal Screening to Rule Out MRSA Pneumonia: A Diagnostic Meta-analysis With Antimicrobial Stewardship Implications [9]
    Parente DM, Cunha CB, Mylonakis E, Timbrook TT · Clin Infect Dis · 2018 · cited 167 times (Europe PMC)

References

  1. Dayan S, Fabi S. Neuroaesthetics: Evolutionary Thinking in Facial Aesthetic Medicine. . 2026. PMID 42108601 · DOI · PMC13158439
  2. Ntamubano S, Parker D, Kozik AJ. The redefined identity of Prevotella: new implications for oral, respiratory, and vaginal health. . 2026. PMID 42430221 · DOI · PMC13492131
  3. Gasparello GG, Tirkkonen O, Mota-Júnior SL, Martins FC, da Silva MAD, Tanaka OM. Comparing Facial Attractiveness and Professional Acceptance Between Real and AI-Generated Orthodontic Treatment Outcome Images. . 2026. PMID 42149127 · DOI · PMC13543177
  4. Sabatinelli D, Fortune EE, Li Q, Siddiqui A, Krafft C, Oliver WT, et al.. Emotional perception: meta-analyses of face and natural scene processing. Neuroimage. 2011. PMID 20951215 · DOI
  5. Mehanna HM, Rattay T, Smith J, McConkey CC. Treatment and follow-up of oral dysplasia - a systematic review and meta-analysis. Head Neck. 2009. PMID 19455705 · DOI
  6. Rhodes MG, Anastasi JS. The own-age bias in face recognition: a meta-analytic and theoretical review. Psychol Bull. 2012. PMID 22061689 · DOI
  7. Richler JJ, Gauthier I. A meta-analysis and review of holistic face processing. Psychol Bull. 2014. PMID 24956123 · DOI · PMC4152424
  8. Xue J, Zartarian V, Moya J, Freeman N, Beamer P, Black K, et al.. A meta-analysis of children's hand-to-mouth frequency data for estimating nondietary ingestion exposure. Risk Anal. 2007. PMID 17511707 · DOI
  9. Parente DM, Cunha CB, Mylonakis E, Timbrook TT. The Clinical Utility of Methicillin-Resistant Staphylococcus aureus (MRSA) Nasal Screening to Rule Out MRSA Pneumonia: A Diagnostic Meta-analysis With Antimicrobial Stewardship Implications. Clin Infect Dis. 2018. PMID 29340593 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-31.

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Evidence strength

EvidenceHelix's computed view of the study designs behind this topic: how common meta-analyses, randomized trials and reviews are, how recent the literature is, and a plain-language reading. It describes the design mix of the literature. It is not a quality appraisal of any study, and it is not medical advice.

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Related research topics

  • CheekAnatomy and Physiology
  • ChinAnatomy and Physiology
  • EyeAnatomy and Physiology
  • EyelidsAnatomy and Physiology
  • MouthAnatomy and Physiology
  • NoseAnatomy and Physiology

All 542 articles in Anatomy and Physiology →

At a glance

185,420
PubMed records on this heading
15%
published since 2020
14,837
review articles
3,887
randomized trials
9
verified references below

Counts come from PubMed on 2026-10-31; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • CheekAnatomy and Physiology
  • ChinAnatomy and Physiology
  • EyeAnatomy and Physiology
  • EyelidsAnatomy and Physiology
  • MouthAnatomy and Physiology

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Sources

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