Age-dependent changes in the amplitude of the pattern visual evoked potential

Shaw, N.A.; Cant, B.R

doi:10.1016/0013-4694(81)90212-1

Cited by 35 publications

(23 citation statements)

References 2 publications

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“…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: 75%

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

Gupta¹,

Gupta²,

Deshpande³

2016

Int J of Biomed & Adv Res

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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.

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Section: Discussioncontrasting

confidence: 75%

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

Gupta¹,

Gupta²,

Deshpande³

2016

Int J of Biomed & Adv Res

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“…In contrast, N2 is markedly prolonged in the adolescent subject then decreases sharply during the following decade and then progressively increases in latency. The reduction in amplitude of the PVEP recorded from the 70 year old is characteristic of PVEPs in subjects over 60 years (Shaw and Cant, 1981).…”

Section: Resultsmentioning

confidence: 82%

Changes in the Cortical Components of the Visual Evoked Potential With Age in Man

1984

Aust J Exp Biol Med

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Summaiy. Pallem visual evoked potentials (PVEPs) were recorded from 177 normal subjects aged 11-87 years. The purpose was to determine age-dependent changes in the latency of the individual components of tbe waveform. 'ITie initial components of the PVEP. which are thought to reflect activity in the primary visual (seriate) cortex, showed no change in latency from 11-50 years followed by an abrupt increase occurring during the sixth decade. It is probable thai this delay in the PVEP Is mediated largely by puthophysiological changes occurring either in the eye or visual pathways, or both. The secondary components of the PVEP, which are presumed to be generated in the visual association areas of the extrastriate cortex, showed a progressive although initially very limited increase in latency starting after adolescence. It is suggested that those delays occurring between 21 and 5(1 years in the secondary components are mediated largely by intracortical factors. The more pronounced delays occurring for the older age groups (over 50 years) appear to be caused by a combination of cortical, subcortical and ocular changes in visual function. TTic prolongation of the later components in the age group 11-20 years seems to reflect maturational changes almost entirely confined to intrncortical processes. The results are discussed in terms of the many conflicting reports of the effects of age on the PVEP. INTRODUCTIONThe PVEP is generated by stimulating the visual system with a reversing black and white checker-board pattem. This will evoke an electrocortical potential with a more stable and simple waveform than that of the flash VEP and therefore provides a useful and reliable technique for studying the integrity of the visual system. The concept of the PVEP was derived from the discoveries of Hubel and Wiesel and others that the visual system is differentially sensitive to the contour, movement and pattern of a stimulus rather than its overall luminance. Originating with the research of Halliday and his colleagues, the PVEP is now recognised to have a valuable role in the diagnosis or detection of multiple sclerosis, optic neuritis, compressive lesions of the visual pathways and diseases of the eye (Halliday, 1982).

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“…Shorter P1 peak latency in adults than in children may reflect the increase in processing speed due to myelinisation (Picton and Taylor, 2007). Several studies have reported that P100 latency stabilizes around 20 years of age (Shaw and Cant, 1981;Allison et al, 1984;Emmerson-Hanover et al, 1994). Here, the P1 peak was 20 ms later in children than in adults, without differences between the two children groups or between the two adult groups.…”

Section: P1-n1 Range: Pre-linguistic Processesmentioning

confidence: 69%

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

et al. 2015

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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.

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Age-dependent changes in the amplitude of the pattern visual evoked potential

Cited by 35 publications

References 2 publications

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

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

Changes in the Cortical Components of the Visual Evoked Potential With Age in Man

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

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