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Related Concept Videos

Brain Waves01:23

Brain Waves

Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics:

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Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
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Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

Age-related changes in visually evoked electrical brain activity.

Gijs Plomp1, Marina Kunchulia, Michael H Herzog

  • 1Laboratory of Psychophysics, Brain Mind Institute, School of Life Sciences, Ecole Polytechnique Fédéral de Lausanne, Lausanne, Switzerland. gijs.plomp@unige.ch

Human Brain Mapping
|May 4, 2011
PubMed
Summary

Elderly individuals exhibit altered visual processing, with weaker visual evoked potentials (VEPs) and distinct brain activity patterns. These age-related cortical changes, identified by a unique microstate, may serve as a diagnostic marker.

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How to Obtain Reliable Visual Event-related Potentials in Newborns
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Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
09:42

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Published on: May 12, 2019

How to Obtain Reliable Visual Event-related Potentials in Newborns
07:39

How to Obtain Reliable Visual Event-related Potentials in Newborns

Published on: October 24, 2019

Area of Science:

  • Neuroscience
  • Gerontology
  • Visual Electrophysiology

Background:

  • Aging significantly impacts cortical tissue, but its effects on visually evoked electrical activity and timing remain less understood.
  • Visual processing speed and efficiency can decline with age, potentially affecting cognitive functions.

Purpose of the Study:

  • To investigate age-related differences in visual processing using electroencephalography (EEG).
  • To identify specific temporal processing deficits and cortical activity patterns in elderly individuals compared to young controls.

Main Methods:

  • A visual masking paradigm was employed to assess temporal processing sensitivity.
  • Electroencephalography (EEG) was used to record brain electrical activity.
  • Electrical source imaging analyzed scalp potential topographies and underlying cortical activity.

Main Results:

  • Elderly participants showed weaker visual evoked potentials (VEPs) on average compared to young controls.
  • A distinct scalp potential microstate emerged around 150 ms post-stimulus in the elderly, regardless of visual input.
  • Electrical source imaging revealed decreased activity in the lateral occipital cortex and increased activity in fronto-parietal areas in the elderly.

Conclusions:

  • Aging alters visual evoked potentials (VEPs) qualitatively, characterized by reduced posterior activity and increased fronto-parietal engagement.
  • The observed fronto-parietal activity increase in the elderly does not appear to compensate for diminished posterior processing.
  • The distinct microstate identified in elderly individuals presents a potential diagnostic tool for detecting age-related cortical changes in visual processing.