J Am Acad Audiol 2020; 31(02): 147-157
DOI: 10.3766/jaaa.18079
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Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

GIN Test: A Meta-Analysis on Its Neurodiagnostic Value

Renata Filippini
*   Departamento de Fisioterapia, Fonoaudiologia e Terapia Ocupacional, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
,
Bryan Wong
†   Speech, Language, and Hearing Department, University of Arizona, Tucson, AZ
,
Eliane Schochat
*   Departamento de Fisioterapia, Fonoaudiologia e Terapia Ocupacional, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
,
Frank Musiek
†   Speech, Language, and Hearing Department, University of Arizona, Tucson, AZ
› Author Affiliations
Further Information

Publication History

23 October 2018

Publication Date:
25 May 2020 (online)

Abstract

Purpose:

A meta-analysis was conducted to evaluate how effective the Gaps-in-Noise (GIN) test is in separating populations who are and who are not at risk of having neurological damage related to the central auditory nervous system (CANS). This was investigated by asking three specific questions: (1) Does ear and side of lesion have an effect over the individual’s performance? (2) How large is the difference in performance between control and neurological groups? (3) What are the diagnostic indices related to the GIN test?

Data Collection and Analysis:

A literature review was performed between April 2016 and April 2017. The eligibility criteria for inclusion were as follows: (1) studies that used the GIN test as an outcome measure, (2) studies that included adult participants who either had confirmed lesions or were at risk of having lesions to the CANS or related regions, and (3) studies that had a neurologically normal control group. From relevant studies that met eligibility criteria, information regarding study design, participants, lesion details and origins, use of additional assessments, GIN performance scores for both control (CTRL) and neurological (NRLG) groups, GIN cutoff scores and proportion of individuals with normal and abnormal performances were all included.

Results:

Nine studies were included, totaling 221 participants in NRLG (stroke = 90, epilepsy = 67, and blast exposure [BLST] = 64) and 262 in CTRL (Stroke = 106, Epilepsy = 98, and BLST = 58). No significant ear effects related to side of lesion were observed for the GIN test in neurological patients nor were there significant ear differences for normal individuals with symmetrically normal hearing. The GIN demonstrated consistency among different neurological populations, presented good sensitivity and specificity rates, and was overall accurate in discriminating between participants with neuroauditory lesions from neurologically normal individuals.

Conclusions:

The GIN is thus a clinically effective measure that provides insight into the CANS integrity and may aid in clinical diagnosis by distinguishing between populations who are and who are not at risk of having neurological damage affecting the CANS.

This study was performed with funding from the São Paulo Research Foundation under the project number 2015/01813-0.


Part of this paper was presented as a research poster at AudiologyNow! 2017.


 
  • REFERENCES

  • Amaral MI, Colella-santos MF. 2010; Temporal resolution: performance of school-aged children in the GIN - Gaps-in-noise test. Braz J Otorhinolaryngol 76: 745-752
  • American Academy of Audiology (AAA) 2010 Guidelines for the diagnosis, treatment, and management of children and adults with central auditory processing disorder. http://www.audiology.org/resources/documentlibrary/Documents/CAPD%20Guidelines%208-2010.pdf . Accessed October 10, 2018.
  • American Speech-Language-Hearing Association (ASHA) 2005 (Central) auditory processing disorders [Technical report] http://www.asha.org/members/deskref-journals/deskref/default . AccessedOctober 10, 2018.
  • Aravindkumar R, Shivashankar N, Satishchandra P, Sinha S, Saini J, Subbakrishna DK. 2012; Temporal resolution deficits in patients with refractory complex partial seizures and mesial temporal sclerosis (MTS). Epilepsy Behav 24 (01) 126-130
  • Baker RJ, Jayewardene D, Sayle C, Saeed S. 2008; Failure to find asymmetry in auditory gap detection, laterality: asymmetries of body. Brain Cogn 13 (01) 1-21
  • Bamiou DE, Musiek FE, Stow I, Stevens J, Cipolotti L, Brown MM, Luxon LM. 2006; Auditory temporal processing deficits in patients with insular stroke. Neurology 67 (04) 614-619
  • Bamiou DE, Werring D, Cox K, Stevens J, Musiek FE, Brown MM, Luxon LM. 2012; Patient-reported auditory functions after stroke of the central auditory pathway. Stroke 43 (05) 1285-1289
  • Bazilio MM, Frota S, Chrisman JR, Meyer A, Asmus CI, Camara VM. 2012; Temporal auditory processing in rural workers exposed to pesticide. J Soc Bras Fonoaudiol 24 (02) 174-180
  • Boscariol M, Casali RL, Amaral MI, Lunardi LL, Matas CG, Collela-Santos MF, Guerreiro MM. 2015; Language and central temporal auditory processing in childhood epilepsies. Epilepsy Behav 53: 180-183
  • Efron R, Yund EW, Nichols D. 1985; An ear asymmetry for gap detection following anterior temporal lobectomy. Neuropsychologia 23 (01) 43-50
  • Gallun FJ, Diedesch AC, Kubli LR, Walden TC, Folmer RL, Lewis MS, McDermott DJ, Fausti SA, Leek MR. 2012; Performance on tests of central auditory processing by individuals exposed to high-intensity blasts. J Rehabil Res Dev 49 (07) 1005
  • Gallun FJ, Lewis MS, Folmer RL, Hutter M, Papesh MA, Belding H, Leek MR. 2016; Chronic effects of exposure to high-intensity blasts: results of tests of central auditory processing. J Rehabil Res Dev 53 (06) 705-720
  • Helfer KS, Vargo M. 2009; Speech recognition and temporal processing in middle-aged women. J Am Acad Audiol 20 (04) 264-271
  • Higgins JPT, Green S. eds. 2011 Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0. The Cochrane Collaboration. http://handbook.cochrane.org . Accessed October 10, 2018
  • Hoover E, Pasquesi L, Souza P. 2015; Comparison of clinical and traditional gap detection tests. J Am Acad Audiol 26 (06) 540-546
  • Humes LE, Kewley-Port D, Fogerty D, Kinney D. 2010; Measures of hearing threshold and temporal processing across the adult lifespan. Hear Res 264 (1–2) 30-40
  • Iliadou VV, Bamiou DE, Sidiras C, Moschopoulos NP, Tsolaki M, Nimatoudis I, Chermak GD. 2017; The use of the gaps-in-noise test as an index of the enhanced left temporal cortical thinning associated with the transition between mild cognitive impairment and alzheimer’s disease. J Am Acad Audiol 28 (05) 463-471
  • Jafari Z, Esmaili M, Delbari A, Mehrpour M, Mohajerani MH. 2016; Auditory temporal processing deficits in chronic stroke: a comparison of brain damage lateralization effect. J Strokecerebrovasc Dis 25 (06) 1403-1410
  • John AB, Hall 3rd JW, Kreisman BM. 2012; Effects of advancing age and hearing loss on gaps-in-noise test performance. Am J Audiol 21 (02) 242-250
  • Lavasani AN, Mohammadkhani G, Motamedi M, Karimi LJ, Jalaei S, Shojaei FS, Danesh A, Azimi H. 2016; Auditory temporal processing in patients with temporal lobe. Epilepsy Behav 60: 81-85
  • Lister J, Besing J, Koehnke J. 2002; Effects of age and frequency disparity on gap discrimination. J Acoust Soc Am 111: 2793-2800
  • Majak J, Zamysłowska-Szmytke E, Rajkowska E, Śliwińska-Kowalska M. 2015; Auditory temporal processing tests – normative data for Polish-speaking adults. Med Pr 66 (02) 145-152
  • Musiek FE, Shinn JB, Jirsa R, Bamiou DE, Baran J, Zaidan E. 2005; GIN (Gaps-In-Noise) test performance in subjects with confirmed central auditory nervous system involvement. Ear Hear 26 (06) 608-618
  • Musiek FE, Weihing J. 2011; Perspectives on dichotic listening and the corpus callosum. Brain Cogn 76 (02) 225-232
  • Rabelo C, Weihing J, Schochat E. 2015; Temporal resolution in individuals with neurological disorders. Clinics 70 (09) 606-611
  • Samelli AG, Schochat E. 2008; The gaps-in-noise test: gap detection thresholds in normal-hearing young adults. Int J Audiol 47 (05) 238-245
  • Schünemann H, Brożek J, Guyatt G, Oxman A. eds. 2013 Handbook for grading the quality of evidence and the strength of recommendations using the GRADE approach. GRADE Working Group. gdt.guidelinedevelopment.org/app/handbook/handbook.html . Accessed October 10, 2018.
  • Shinn JB, Chermak GD, Musiek FE. 2009; GIN (Gaps-In-Noise) performance in the pediatric population. J Am Acad Audiol 20 (04) 229-238
  • Tomlin D, Dillon H, Sharma M, Rance G. 2015; The impact of auditory processing and cognitive abilities in children. Ear Hear 36 (05) 527-542
  • Wallace B, Dahabreh I, Trikalinos T, Lau J, Trow P, Schmid C. 2012; Closing the gap between methodologists and end-users: R as a computational back-end. J Stat Softw 49 (05) 1-15
  • Weihing J, Guenette L, Chermak G, Brown M, Ceruti J, Fitzgerald K, Geissler K, Gonzalez J, Brenneman L, Musiek F, Musiek F. 2015; Characteristics of pediatric performance on a test battery commonly used in the diagnosis of central auditory processing disorder. J Am Acad Audiol 26 (07) 652-669
  • Wong ACW, McPherson B. 2015; Adaptive tests of temporal resolution: comparison with the gaps-in-noise test in normal-hearing young adults. Int J Audiol 54 (01) 29-36
  • Zaidan E, Baran JA. 2013; Gaps-in-noise (GIN©) test results in children with and without reading disabilities and phonological processing deficits. Int J Audiol 52 (02) 113-123
  • Zamyslowska-Szmytke E, Fuente A, Niebudek-Bogusz E, Sliwinska-Kowalska M. 2009; Temporal processing disorder associated with styrene exposure. Audiol Neurootol 14 (05) 296-302