Effects of stimulus repetition rate on slow and fast components of auditory brain-stem responses

Suzuki, Tokuro; Kobayashi, Kiyoko; Takagi, Norio

doi:10.1016/0168-5597(86)90048-1

Cited by 42 publications

(26 citation statements)

References 20 publications

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“…A similar pattern of slow and fast components is also evident in ABRs in which the transient components reflect discharges of nerve fibers at different levels of the brain-stem auditory pathway that are superimposed on a slow potential shift peaking at the time of Wave V (Achor and Starr, 1980;Suzuki et al, 1986). The generators of the slow potential comprising the ABR have been suggested as reflecting volume conduction of field potentials arising in neurons of the brain-stem and inferior colliculus rather than from nerve fibers (Moller and Jannetta, 1983).…”

Section: Middle-latency Evoked Potentials In Normal Aging and Mild Comentioning

confidence: 81%

Auditory brain-stem, middle- and long-latency evoked potentials in mild cognitive impairment

Irimajiri

Golob

Starr

2005

Clinical Neurophysiology

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Objective: Mild cognitive impairment (MCI) is a selective episodic memory deficit in the elderly with a high risk of Alzheimer's disease. The amplitudes of a long-latency auditory evoked potential (P50) are larger in MCI compared to age-matched controls. We tested whether increased P50 amplitudes in MCI were accompanied by changes of middle-latency potentials occurring around 50 ms and/or auditory brainstem potentials. Methods: Auditory evoked potentials were recorded from age-matched controls (nZ16) and MCI (nZ17) in a passive listening paradigm at two stimulus presentation rates (2/s, 1/1.5 s). A subset of subjects also received stimuli at a rate of 1/3 s. Results: Relative to controls, MCI subjects had larger long-latency P50 amplitudes at all stimulus rates. Significant group differences in N100 amplitude were dependent on stimulus rate. Amplitudes of the middle-latency components (Pa, Nb, P1 peaking at approximately 30, 40, and 50 ms, respectively) did not differ between groups, but a slow wave between 30 and 49 ms on which the middle-latency components arose was significantly increased in MCI. ABR Wave V latency and amplitude did not differ significantly between groups. Conclusions: The increase of long-latency P50 amplitudes in MCI reflects changes of a middle-latency slow wave, but not of transient middle-latency components. There was no evidence of group difference at the brain-stem level. Significance: Increased slow wave occurring as early as 50 ms may reflect neurophysiological consequences of neuropathology in MCI.

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Section: Middle-latency Evoked Potentials In Normal Aging and Mild Comentioning

confidence: 81%

Auditory brain-stem, middle- and long-latency evoked potentials in mild cognitive impairment

Irimajiri

Golob

Starr

2005

Clinical Neurophysiology

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“…All differences were very small and those of 4 were the least, or non-significant. latency distortions has been repeatedly demonstrated (Boston and Ainslie 1980;M~ller 1980Doyle and Hyde 1981;Fridman et al 1982;John et al 1982;Boston 1983;Takagi et al 1983;Suzuki et al 1986). However, even when digital filters are used, ABEP peak latencies depend on the type and characteristics of the filter (M~ller 1983).…”

Section: Table IIImentioning

confidence: 90%

The effects of digital filtering on feline auditory brain-stem evoked potentials

Pratt

Bleich

Zaaroor

et al. 1991

Electroencephalography and Clinical Neurophysiology/Evoked Pote

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SummaryThe power spectrum of the feline auditory brain-stem evoked potentials (ABEPs) consists of 3 frequency bands, similar to the human wave form, but differing in range. The frequency bands in the feline spectra were separated by notches at 326 Hz and 732 Hz. Click-evoked ABEP from 15 cats were digitally filtered in 3 passbands: (1) below 326 Hz ('slow filter'), (2) between 326 and 732 Hz ('medium filter'); and (3) between 732 and 1790 Hz ('fast filter'). Filtering in each of these bands differentially affected the ABEP components. The vertex positive components are labeled by their order of appearance, i.e., 1, 2 .... 5. Peak 1 is subdivided into 2 subcomponents labeled la and lb. The slow filter was associated with the loss of all components leaving a slow potential shift, i.e., the 'pedestal' peaking at the latency of peak 4. The medium filter was associated with the loss of components la, lb and 2, sparing 3 and 4. The fast filter was associated with the loss of lb and a diminution of 2.Comparing cat and human ABEP, feline components 2, 3 and 4 behaved precisely the same as the human II, III and V. In contrast to the human I, the feline first component (la) was not detected with the medium filter. No feline component, following peak 1 in the unfiltered wave form, disappeared with the slow and medium filters, and reemerged with the fast filter (as human IV does). Thus, based on the effects of digital filters on ABEP wave form, the human peak IV did not have a feline counterpart, and the feline bifid peak 1 differed compared to its human I counterpart. Some of these conclusions run counter to homologues suggested from lesion and depth recording experiments. Factors related to differences in the dimensions, composition, and orientation (relative to the recording electrodes) of the auditory pathway of humans and cats could affect the definition of homologues between the two species using filters as well as lesion and depth recordings.

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“…Aus dem ventralen Anteil des Ohrbläschens bildet sich der Sacculus mit dem Schneckengang, aus dem später das Corti-Organ hervorgeht. Aus dem dorsalen Anteil entsteht der Utrikulus mit den Bogengängen und dem Ductus endolymphaticus, aus dem sich das zunächst häutige Labyrinth entwickelt (Sadler 2003, Suzuki et al 1986). …”

Section: Innenohrunclassified

Zur Verlässlichkeit hirnstammaudiometrischer Hörschwellenbestimmungen

Renne

Olthoff

2012

Laryngo-Rhino-Otol

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Zusammenfassung Hintergrund: Am 01.01.2009 wurde das universelle Neugeborenen-H?rscreening bundesweit verpflichtend eingef?hrt. Im Rahmen der Konfirmationsdiagnostik erfolgt hierbei die Hirnstammaudiometrie (BERA) zur H?rschwellenbestimmung. Die Verl?sslichkeit dieses Verfahrens sollte in dieser Studie bei ein- und beidseitig h?rgest?rten Kindern ?berpr?ft werden. Ein weiteres Ziel der Studie war, die diagnostische Sicherheit der Klick-BERA mit der der frequenzspezifischen Notched-Noise- (NN) BERA zu vergleichen. Material und Methoden: In einem Gesamtkollektiv von 97 Kindern mit nicht-progredienten H?rst?rungen (31 unilateral und 66 bilateral) ermittelten wir die H?rschwelle mittels NN- und Klick-BERA. Nach durchschnittlich 3,2 Jahren wurde das H?rverm?gen mit subjektiven H?rpr?fmethoden kontrolliert. Ergebnisse: Sowohl die Vergleiche von NN-BERA- als auch von Klick-BERA-Schwellen mit den subjektiven Luftleitungsschwellen ergaben signifikante Korrelationen mit einem hohen Korrelationskoeffizienten, wobei die Korrelationskoeffizienten der Klick-BERA unter denen der NN-BERA lagen. Schlussfolgerung: Die NN-BERA erf?llte die in sie gesetzten Erwartungen, auch bei h?rgeminderten Neugeborenen und Kleinkindern eine verl?ssliche H?rschwellenbestimmung zu gew?hrleisten. Die geringere Korrelation der Klick-BERA-Schwellen mit den sp?ter subjektiv ermittelten H?rschwellen deutet auf die Notwendigkeit zus?tzlicher frequenzspezifischer Verfahren wie das der NN-BERA hin.

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Effects of stimulus repetition rate on slow and fast components of auditory brain-stem responses

Cited by 42 publications

References 20 publications

Auditory brain-stem, middle- and long-latency evoked potentials in mild cognitive impairment

Auditory brain-stem, middle- and long-latency evoked potentials in mild cognitive impairment

The effects of digital filtering on feline auditory brain-stem evoked potentials

Zur Verlässlichkeit hirnstammaudiometrischer Hörschwellenbestimmungen

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