Human Intelligence and Power Spectral Analysis of Visual Evoked Potentials

1980 ◽  
Vol 50 (1) ◽  
pp. 192-194 ◽  
Author(s):  
Mariko Osaka ◽  
Naoyuki Osaka
Keyword(s):  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Power Spectra ◽  
Power Spectral Analysis ◽  
Mentally Retarded ◽  
Power Spectral ◽  
The Difference ◽  
Mentally Retarded Children ◽  
The Relationship ◽  
Visual Evoked

The relationship between intelligence and power spectra of visual evoked potential was investigated using 8 normal and 8 mentally retarded children as subjects. The results showed the power spectrum of mentally retarded has a peak at 4 to 6 Hz, whereas that of normal has two apparent peaks at 4 and 12 Hz. It appears the peak at 12 Hz reflects the difference of intelligence.

Primary Presenile Dementia: The Use of the Visual Evoked Potential as a Diagnostic Indicator

1985 ◽  
Vol 147 (5) ◽  
pp. 532-539 ◽  
Author(s):  
Graham F. A. Harding ◽  
Christine E. Wright ◽  
Arnold Orwin
Keyword(s):  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Cortical Atrophy ◽  
Control Group ◽  
Pattern Reversal ◽  
Presenile Dementia ◽  
The Difference ◽  
Pattern Reversal Stimulation ◽  
Diagnostic Indicator ◽  
Visual Evoked

The use of the flash and pattern reversal visual evoked potential (VEP) in the diagnosis of primary presenile dementia was investigated. The results from 20 patients with primary presenile dementia were compared with those from a control group of normals of equivalent age and from a control group of 20 patients with cortical atrophy but no dementia. Presenile dementia caused a slowing of the major positive (P2) component of the VEP to flash stimulation. However, the VEP to pattern reversal stimulation (P100) was of normal latency. The difference between these two latencies characterises this unusual combination of results and is found to be a more specific diagnostic indicator of primary presenile dementia than the EEG or CT scan.

scholarly journals A study on wavelet analysis of SSVEP Signals

2018 ◽  
Vol 7 (2.25) ◽  
pp. 10
Author(s):  
Bincy Babu ◽  
R Chandrasekaran ◽  
Josline Elsa Joseph ◽  
Thella Shalem Rahul ◽  
T R Thamizhvani ◽  
...  
Keyword(s):  
Wavelet Analysis ◽  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Spectral Estimation ◽  
Power Spectral Analysis ◽  
Feature Analysis ◽  
Eeg Signals ◽  
Power Spectral ◽  
Frequency Components ◽  
Bci System

Almost every Brain Control Interfcae (BCI) system is framed based on Steady State Visual Evoked Potential (SSVEP) which is predicted through distinguishing overriding frequency components in Electroencephalography (EEG) signals. The proposed system aims in accurate feature extraction of SSVEP signals. Power spectral analysis and wavelet analysis are done for feature analysis. The feature set variation for male and female subjects are obtained. Compared power spectral estimation and wavelet analysis, merits and demerits of each approach can be identified from the outcomes. It offers a theoretical reference of practical choice for BCI application.  

P3.14 The relationship between the visual evoked potential and the gamma band investigated by blind and semi-blind methods

2011 ◽  
Vol 122 ◽  
pp. S69 ◽  
Author(s):  
C. Porcaro ◽  
D. Ostwald ◽  
M.T. Medaglia ◽  
L. Tomasevic ◽  
A. Hadjipapas ◽  
...  
Keyword(s):  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Gamma Band ◽  
The Relationship ◽  
Visual Evoked

scholarly journals The relationship between vertical kinetic visual acuity and visual evoked potential

2007 ◽  
Vol 53 (4) ◽  
pp. 615-621
Author(s):  
HIROSHI YOSHIGI ◽  
YOSHIMITSU KOHMURA ◽  
MINORU TANAKA ◽  
ATSUSHI MIZOTA
Keyword(s):  
Visual Acuity ◽  
Visual Evoked Potential ◽  
Evoked Potential ◽  
The Relationship ◽  
Visual Evoked
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