Developmental and aging changes in somatosensory, auditory and visual evoked potentials

Allison, Truett; Hume, Ann L.; Wood, Charles Cresson; Goff, William R.

doi:10.1016/0013-4694(84)90196-2

Cited by 214 publications

(119 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…But, the data for amplitude variation in different age-groups is conflicting, with some studies depicting a decrease in the amplitude with age while some suggested that in the adult life the amplitude remained reasonably stable while in the first decade of life the mean amplitude was almost double of the adult value. [6,9] The present study could not find any significant variation in the amplitudes among the various age-groups. The mean interocular latency difference (0.64 ms±0.71) was another PRVEP parameter tested among the various agegroups but no statistically significant variation was found (Table 1).…”

Section: Discussioncontrasting

confidence: 78%

“…[4] Age-related changes in P100 latencies can be attributed to the decline in the visual functions with aging. [1,[6][7][8] Mean N75-P100 amplitudes were not found to be statistically significant (p>0.05), when assessed in the different age groups (table 1). The mean amplitude for the right eye was 6.84µv±2.11 SD and for the left eye was 6.69 µv±2.03 SD, with the mean value of 6.77±1.99 S.D.…”

Section: Discussionmentioning

confidence: 91%

“…[15][16][17] Another gender variation was exhibited by a statistically significantly greater mean N75-P100 amplitude in females as compared to males (table 2). [6,14] The amplitude increase in females as compared to males has been attributed to the hormonal differences. [18] No influence of anthropometric differences has been suggested to play role in the same.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Visual evoked potentials: Impact of age, gender, head size and BMI

Gupta¹,

Gupta²,

Deshpande³

2016

Int J of Biomed & Adv Res

View full text Add to dashboard Cite

Background and Objectives: Pattern-reversal visual evoked potential (PRVEP) is an objective, sensitive and non-invasive neurophysiological test that can prove to be a useful clinical tool in investigating the physiology and pathophysiology of human visual system. A successful clinical application of the test, however, is not possible without the acquisition of a normative data adjusted to known confounding physiological variables. Hence, this study attempted to obtain PRVEP values in different agegroups and gender in healthy adults and also to find out the influence of head size and body mass index on PRVEP parameters. Methods: PRVEP was recorded in 52 healthy adults in the age-group of 18-70 years. PRVEP parameters were compared in different age-groups and gender using one way ANOVA. Head size and BMI were correlated with PRVEP parameters by Pearson correlation coefficient and the significance of difference analysed. Results: The study demonstrated statistically significant differences in mean P100 latency among various age-groups. Gender difference revealed statistical significant differences in both the PREVP parameters (P100 latency and N75-P100 amplitude). The correlation of head size and BMI with PRVEP parameters could not be found to be statistically significant. Conclusion: Clinical interpretation of PRVEP should be based on age and sex matched normal subjects besides standardizing the technical parameters of the laboratory. This study also suggests that endocrinal differences should be borne in mind besides the anatomical differences for gender variation in PRVEP-P100 latency. Key message: For adequacy and accuracy of neurophysiological tests like visual evoked potentials, normal values have to be adjusted for physiological variables. Every neurophysiology laboratory should have its own normative data based on age and gender. A possibility of the role of endocrinal influences should be borne in mind for gender variation in P100 latency.

show abstract

Section: Discussioncontrasting

confidence: 78%

Section: Discussionmentioning

confidence: 91%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Visual evoked potentials: Impact of age, gender, head size and BMI

Gupta¹,

Gupta²,

Deshpande³

2016

Int J of Biomed & Adv Res

View full text Add to dashboard Cite

show abstract

“…3), along with higher amplitudes and a shift of the P100 peak for children. A decrease in the amplitudes of VEP with age has been repeatedly described using different kinds of visual stimuli (Allison et al, 1984;Brecelj et al, 2002;Hoffmann et al, 2001;Holcomb, Coffey and Neville, 1992;Mahajan and McArtur, 2012;Taylor et al, 2004). Larger amplitudes in children have been attributed to less thick skulls or to generators being closer to the surface electrode in smaller brains (Chauveau et al, 2004;Picton and Taylor, 2007).…”

Section: P1-n1 Range: Pre-linguistic Processesmentioning

confidence: 88%

Functional and time-course changes in single word production from childhood to adulthood

et al. 2015

View full text Add to dashboard Cite

Picture naming tasks are widely used both in children and adults to investigate language production for research and for assessment purposes. The main theoretical models of single word production based on the investigation of picture naming in adults provide a detailed account of the principal mental operations involved in the transformation of an abstract concept into articulated speech and their temporal dynamics. These models and in particular their time-course do not apply directly to children who display much longer production latencies than adults. Here we investigate the functional processes and the temporal dynamics of word encoding in school-age children and adults. ERPs were analysed from picture onset to the onset of articulation in 32 children and 32 adults performing the same overt picture naming task. Waveform analyses were not informative since differences appeared throughout the entire period, due to an early shift of waveform morphology and to larger amplitudes in children. However, when the sequences of periods of topographic stability were considered, different patterns of electric fields at scalp only appeared in approximately the first third of the analysed period, corresponding to the P1-N1 complex. From about 200 ms in adults and from 300 ms in children to articulation onset similar patterns of global topography were observed across groups but with a different time distribution. These results indicate qualitative changes in an early time-window, likely corresponding to pre-linguistic processes, and only quantitative changes in later time-windows, suggesting similar mental operations underlying lexical processes between age-school children and adults, with temporal dynamic changes during development.

show abstract

“…The amount of change varies, but it is usually between 1 and 2 ms per year (Brown, Marsh, & LaRue, 1983;Ford & Pfefferbaum, 1985;Picton et al, 1984;Goodin, Squires, Henderson, & Starr, 1978). The reasons for the age-related changes in P300 latency are not completely clear, although since nerve conduction time does increase with age (Allison, Hume, Wood, & Goff, 1984), this must account for part of the change in P300 latency. The change in amplitude may be related to a shifting scalp distribution.…”

Section: Appendix C Stimulus Modality and Subject Factorsmentioning

confidence: 99%