Bruxism and Temporomandibular Joint Vibrational Patterns: Insights From Joint Vibration Analysis
Bruxism and Temporomandibular Joint Vibrational Patterns: Insights From Joint Vibration Analysis
Background and Rationale
Bruxism is a repetitive jaw-muscle activity involving clenching or grinding of the teeth. Although its pathophysiology remains unclear, it is hypothesized that bruxism may contribute to biomechanical alterations in the temporomandibular joint (TMJ). Joint Vibration Analysis (JVA) is a non-invasive method capable of detecting vibrational patterns associated with TMJ function. This study protocol aims to assess the potential association between bruxism and TMJ vibrational characteristics in adults.
Objectives
The primary objective is to determine whether there is a difference in TMJ vibrational parameters between individuals with clinically diagnosed bruxism and individuals without signs or symptoms of bruxism. The secondary objective is to explore the relationship between bruxism severity and specific vibrational parameters measured by JVA.
Study Design
This is a retrospective observational study of patient records collected between January 2020 and May 2025 at the Istanbul Atlas University TMD Clinic.
Study Population
Sample Size
Approximately 195 patient records meeting eligibility criteria will be analyzed. The bruxism group is expected to include ~175 participants, and the control group ~20 participants.
Methodology
Clinical data include patient-reported bruxism history, maximum mouth opening measurements, and TMJ clinical assessments. JVA recordings will be used to obtain vibrational parameters such as peak frequency, median frequency, amplitude, and total vibrational energy. Standardized protocols for JVA will be applied to all included patients.
Statistical Analysis
Data normality will be assessed. For normally distributed variables, independent t-tests will be used to compare groups; for non-normally distributed variables, Mann-Whitney U tests will be applied. Correlation between bruxism severity and vibrational parameters will be evaluated using Spearman's rank correlation. Multiple linear regression may be used to analyze the predictive value of bruxism indicators.
Ethics
The study protocol has been approved by the Istanbul Atlas University Clinical Research Ethics Committee (Approval No: E-22686390-050.99-66516). Informed consent for use of anonymized data was obtained at the time of clinical examination.
Bruxism involves repetitive jaw-muscle activity, including clenching and grinding, which may generate excessive and chronic mechanical loading on the temporomandibular joint (TMJ). Although its causal link to TMJ disorders is still debated, it is hypothesized that bruxism-induced stress may lead to internal joint changes, detectable as vibrational anomalies.
Joint Vibration Analysis (JVA) is a non-invasive, real-time diagnostic modality that records vibrational events within the TMJ during mandibular movements. By analyzing parameters such as peak frequency (Hz), median frequency (Hz), amplitude (µV), and total energy (Pa·s), JVA enables objective assessment of intra-articular mechanical behavior. These metrics help differentiate between normal joint function and pathological conditions such as disc displacement or degenerative changes.
This retrospective observational study will assess whether individuals with clinically identified bruxism exhibit distinct vibrational profiles compared to asymptomatic controls. Patient records collected at the Istanbul Atlas University TMD Clinic between January 2020 and May 2025 will be included. Bruxism classification will be based on a standardized clinical scale, incorporating both self-reported symptoms (e.g., morning jaw fatigue, tooth wear, headache) and clinical signs (e.g., hypertrophic masseter muscles, linea alba, occlusal facets).
JVA recordings will be obtained using the BioJVA™ system (BioResearch Associates, Inc.), following a uniform protocol: bilateral sensor placement over the TMJs, seated posture with back support, and execution of five maximal open-close mandibular cycles. Calibration procedures will ensure data consistency across sessions. Demographic data (age, gender), maximum mouth opening (MMO), presence of joint sounds (clicks, crepitus), and JVA output parameters will be recorded.
Statistical analysis will include comparative tests (e.g., t-test, Mann-Whitney U) between bruxism and control groups, and correlation analyses (e.g., Pearson or Spearman coefficients) between vibrational variables and bruxism severity scores. Multivariate models may be used to control for age and gender effects.
This study protocol is ethically approved by the Istanbul Atlas University Clinical Research Ethics Committee. Anonymized data from consenting patients will be used in compliance with institutional and international research standards.
Findings from this research are expected to clarify the biomechanical effects of bruxism on TMJ structures and support the utility of JVA as an objective adjunct tool in the functional evaluation of temporomandibular disorders.
Inclusion Criteria:
Exclusion Criteria: