Chromatic visual evoked potentials indicate early dysfunction of color processing in young patients with demyelinating disease

Pompe, Manca Tekavčič; Perovšek, Darko; Šuštar, Maja

doi:10.1007/s10633-020-09761-4

Cited by 10 publications

(6 citation statements)

References 27 publications

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“…Also, parvocellular visual pathway processing is known to be altered among children with congenital color vision deficiency and can be detected by chromatic visual evoked potentials 36 . Also, visual evoked potentials to chromatic stimuli were shown to be very sensitive in acquired color vision changes in young patients with demyelinating disease 37 …”

Section: Color Vision Testingmentioning

confidence: 99%

Color vision testing in children

Pompe

2020

Color Research & Application

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Color vision is an important part of visual processing and as such, it often needs to be evaluated in the pediatric population. The information on a child's color vision status can often be a very important additional clue in establishing the correct clinical diagnosis. The basic principles of color vision are discussed in this review, as well as congenital and acquired color vision deficiencies. The emphasis is on the evaluation of color vision, especially clinically applicable color vision tests suitable for testing children above the age of 3 years.

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Section: Color Vision Testingmentioning

confidence: 99%

Color vision testing in children

Pompe

2020

Color Research & Application

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“…Three aspects of our study are novel and deserve to be highlighted when comparing this experiment to previous research on chromatic VEPs [7][8][9][10]. First and similar to our proof-of-concept study, the algorithm applied in the present experimental set-up could reliably classify the EEG response to visual stimulation using only very few VEPs (<10 VEPs at 2 Hz).…”

Section: Discussionmentioning

confidence: 56%

“…The ability of the algorithms to correctly differentiate between VEP responses in a binary and qualitative fashion is likely to increase its sensitivity to detect even subtle functional changes in the optic pathway. Accordingly, chromatic VEPs were reported to be more sensitive than standard VEPs to detect colour vision deficiencies in infants [5], short-term variations in blood glucose levels in diabetic patients [12], various forms of optic neuropathy [7,8], acquired deficiencies in colour vision capacity [13], and early visual disturbances in patients with Parkinson's disease [9].…”

Section: Discussionmentioning

confidence: 99%

Continuous Detection of Subtle Differences in Chromatic Visually Evoked Potentials Applied to Closed Eyes in Healthy Volunteers

Kalb,

Böck,

Bolz

et al. 2024

Preprint

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Background/Objectives: We defined the value of a machine learning algorithm to distinguish between the EEG response to no light or any light stimulation, and between red or green light stimulation in awake volunteers with closed eyelids. This new method of EEG analysis is visionary in the understanding of visual signal processing and will facilitate anaesthetic depth research. Methods: X-gradient boosting models were used to classify the cortical response to VEP stimulation (no light vs. any light stimulation; red vs. green light stimulation). For each of the two classifications, three scenarios were tested: training and prediction in all participants (all), training and prediction in one participant (individual), training across all but one participant with prediction in the participant left out (one out). Results: Ninety-four Caucasian adults were included. The machine learning algorithm had a very high predictive value and accuracy in differentiating between no light and any light stimulation (AUCROCall: 0.96; accuracyall: 0.94; AUCROCindividual: 0.96±0.05, accuracyindividual: 0.94±0.05; AUCROConeout: 0.98±0.04; accuracyo-neout:0.96±0.04). The machine learning algorithm was highly predictive and accurate in distinguishing between green and red colour stimulation (AUCROCall: 0.97; accuracyall: 0.91; AUCROCin-dividual: 0.98±0.04, accuracyindividual: 0.96±0.04; AUCROConeout: 0.96±0.05; accuracyoneout: 0.93±0.06). The predictive value and accuracy of both classification tasks was comparable between males and females. Conclusions: Machine learning algorithms could almost continuously and reliably differentiate between the cortical EEG responses to no light or any light stimulation and between green or red colour stimulation using VEPs in awake female and male volunteers with eyes closed. Our findings may open new possibilities for using VEPs in the intraoperative setting.

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“…Although the examination is usually performed without using color, attempts have been made to evaluate parallel parvocellular and koniocellular visual pathways using red–green or blue–yellow stimuli, and its usefulness has been reported in demyelinating diseases [ 27 , 28 , 29 ], Leber’s hereditary optic neuropathy [ 30 ], glaucoma [ 31 ], Parkinson’s disease [ 32 ], and congenital color blindness [ 33 ].…”

Section: Stimulus Conditions and Waveformsmentioning

confidence: 99%

Visual Evoked Potentials for the Detection of Diabetic Retinal Neuropathy

Miura

2023

IJMS

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Visual evoked potentials (VEP) are visually evoked signals that extract electroencephalographic activity in the visual cortex that can detect retinal ganglion cells, optic nerves, chiasmal and retrochiasmal dysfunction, including optic radiations, and the occipital cortex. Because diabetes causes diabetic retinopathy due to microangiopathy and neuropathy due to metabolic abnormalities and intraneural blood flow disorders, assessment of diabetic visual pathway impairment using VEP has been attempted. In this review, evidence on the attempts to assess the visual pathway dysfunction due to abnormal blood glucose levels using VEP is presented. Previous studies have provided significant evidence that VEP can functionally detect antecedent neuropathy before fundus examination. The detailed correlations between VEP waveforms and disease duration, HbA1c, glycemic control, and short-term increases and decreases in blood glucose levels are evaluated. VEP may be useful for predicting postoperative prognosis and evaluating visual function before surgery for diabetic retinopathy. Further controlled studies with larger cohorts are needed to establish a more detailed relationship between diabetes mellitus and VEP.

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Chromatic visual evoked potentials indicate early dysfunction of color processing in young patients with demyelinating disease

Cited by 10 publications

References 27 publications

Color vision testing in children

Color vision testing in children

Continuous Detection of Subtle Differences in Chromatic Visually Evoked Potentials Applied to Closed Eyes in Healthy Volunteers

Visual Evoked Potentials for the Detection of Diabetic Retinal Neuropathy

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