Literature DB >> 28449265

A pilot study of nocturnal temporalis muscle activity in TMD diagnostic groups of women.

F Wei1, M H Van Horn1, M C Coombs1,2, X She1, T S Gonzales2, Y M Gonzalez3, J M Scott4, L R Iwasaki3,5, J C Nickel3,5, H Yao1,2.   

Abstract

Temporomandibular disorder (TMD) incidences are believed to be related to parafunctional behaviours like teeth clenching. This pilot study aimed to (i) develop an automated clench-detection algorithm, and (ii) apply the algorithm to test for differences in nocturnal clenching in women with and without TMD. Subjects gave informed consent to participate. Adult women were categorised using Diagnostic Criteria for TMD according to presence/absence (+/-) of both TM joint disc placement (DD) and chronic pain (P) into two groups (+DD+P, -DD-P) with 12 subjects each. Surface temporalis electromyography was recorded during oral tasks performed by subjects at two laboratory sessions. The data were used to characterise muscle activity per N of bite force (μV/N) for each subject, develop the clench-detection algorithm and test its accuracy. Ambulatory surface temporalis electromyography was self-recorded by each subject over three nights and analysed using the algorithm and bite force (N) versus muscle activity μV/N calibrations. Bonferroni-adjusted homoscedastic t-tests assessed for significant between-group differences in clenching (P < 0·05). Sensitivity, specificity and accuracy of algorithm-detected laboratory clenches were all ≥96%. During self-recordings 95% of clenches had durations of <4 s and peak forces of <10 N in both groups. Mean clench durations were significantly longer (P = 0·042) in +DD+P (1·9 ± 0·8 s) than -DD-P subjects (1·4 ± 0·4 s). Mean temporalis duty factors (%clench time/total recording time) were significantly larger (P = 0·041) in +DD+P (0·47 ± 0·34%) than -DD-P (0·26 ±0·22%) subjects. Nocturnal temporalis muscle activities detected by a validated algorithm were longer per clench and recording time in +DD+P compared to -DD-P women.
© 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  electromyography; masticatory muscles; pattern recognition; sleep bruxism; temporomandibular joint disorders; women

Mesh:

Year:  2017        PMID: 28449265      PMCID: PMC5499232          DOI: 10.1111/joor.12517

Source DB:  PubMed          Journal:  J Oral Rehabil        ISSN: 0305-182X            Impact factor:   3.837


  29 in total

1.  Rhythmic masticatory muscle activity during sleep in humans.

Authors:  G J Lavigne; P H Rompré; G Poirier; H Huard; T Kato; J Y Montplaisir
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2.  A comparison of computer-based methods for the determination of onset of muscle contraction using electromyography.

Authors:  P W Hodges; B H Bui
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1996-12

3.  Relationship between self-reported sleep bruxism and pain in patients with temporomandibular disorders.

Authors:  A Blanco Aguilera; L Gonzalez Lopez; E Blanco Aguilera; J L De la Hoz Aizpurua; A Rodriguez Torronteras; R Segura Saint-Gerons; A Blanco Hungría
Journal:  J Oral Rehabil       Date:  2014-04-18       Impact factor: 3.837

4.  Association between waking-state oral parafunctional behaviours and bio-psychosocial characteristics.

Authors:  S N Khawaja; J C Nickel; L R Iwasaki; H C Crow; Y Gonzalez
Journal:  J Oral Rehabil       Date:  2015-04-16       Impact factor: 3.837

5.  Sleep-associated aspects of myofascial pain in the orofacial area among Temporomandibular Disorder patients and controls.

Authors:  Marc Schmitter; Alexandra Kares-Vrincianu; Horst Kares; Justo Lorenzo Bermejo; Hans-Jürgen Schindler
Journal:  Sleep Med       Date:  2015-05-11       Impact factor: 3.492

6.  Self-Report of Waking-State Oral Parafunctional Behaviors in the Natural Environment.

Authors:  Sarah E F Kaplan; Richard Ohrbach
Journal:  J Oral Facial Pain Headache       Date:  2016

7.  Nocturnal teeth-grinding: all-night psychophysiologic studies.

Authors:  G R Reding; H Zepelin; J E Robinson; S O Zimmerman; V H Smith
Journal:  J Dent Res       Date:  1968 Sep-Oct       Impact factor: 6.116

8.  Oral parafunctions as risk factors for diagnostic TMD subgroups.

Authors:  A Michelotti; I Cioffi; P Festa; G Scala; M Farella
Journal:  J Oral Rehabil       Date:  2009-12-01       Impact factor: 3.837

9.  Masticatory muscle sleep background electromyographic activity is elevated in myofascial temporomandibular disorder patients.

Authors:  K G Raphael; M N Janal; D A Sirois; B Dubrovsky; P E Wigren; J J Klausner; A C Krieger; G J Lavigne
Journal:  J Oral Rehabil       Date:  2013-12       Impact factor: 3.837

10.  Signs and symptoms of first-onset TMD and sociodemographic predictors of its development: the OPPERA prospective cohort study.

Authors:  Gary D Slade; Eric Bair; Joel D Greenspan; Ronald Dubner; Roger B Fillingim; Luda Diatchenko; William Maixner; Charles Knott; Richard Ohrbach
Journal:  J Pain       Date:  2013-12       Impact factor: 5.820

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  6 in total

1.  Effect of Sustained Joint Loading on TMJ Disc Nutrient Environment.

Authors:  Y Wu; S E Cisewski; M C Coombs; M H Brown; F Wei; X She; M J Kern; Y M Gonzalez; L M Gallo; V Colombo; L R Iwasaki; J C Nickel; H Yao
Journal:  J Dent Res       Date:  2019-05-24       Impact factor: 6.116

2.  Mechanobehavior and mandibular ramus length in different facial phenotypes.

Authors:  Paige Covington Riddle; Jeffrey C Nickel; Ying Liu; Yoly M Gonzalez; Luigi M Gallo; R Scott Conley; Robert Dunford; Hongzeng Liu; Laura R Iwasaki
Journal:  Angle Orthod       Date:  2020-11-01       Impact factor: 2.079

3.  Chronic Pain-Related Jaw Muscle Motor Load and Sensory Processing.

Authors:  J C Nickel; Y M Gonzalez; Y Wu; Y Liu; H Liu; L R Iwasaki
Journal:  J Dent Res       Date:  2022-06-16       Impact factor: 8.924

Review 4.  Mechanobehavior and Ontogenesis of the Temporomandibular Joint.

Authors:  J C Nickel; L R Iwasaki; Y M Gonzalez; L M Gallo; H Yao
Journal:  J Dent Res       Date:  2018-07-13       Impact factor: 6.116

5.  Association between masticatory muscle activity and oral conditions in young female college students.

Authors:  Cha-Young Pyo; Tae-Hoon Kim; Da-Hye Kim
Journal:  Anat Cell Biol       Date:  2021-12-31

Review 6.  Signal acquisition and analysis of ambulatory electromyographic recordings for the assessment of sleep bruxism: A scoping review.

Authors:  Magdalini Thymi; Frank Lobbezoo; Ghizlane Aarab; Jari Ahlberg; Kazuyoshi Baba; Maria Clotilde Carra; Luigi M Gallo; Antoon De Laat; Daniele Manfredini; Gilles Lavigne; Peter Svensson
Journal:  J Oral Rehabil       Date:  2021-05-02       Impact factor: 3.558

  6 in total

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