scholarly journals Pattern Visual Evoked Potential (VEP) is Unaffected in the Early Stage of Mild Cognitive Impairment

2017 ◽  
Vol 15 (1) ◽  
pp. 87-96 ◽  
Author(s):  
Lau Chean Ling ◽  
Norhani Mohidin ◽  
Azzatul Ainur Mohd Kamal ◽  
Zainora Mohammed ◽  
Bariah Mohd Ali
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Early Stage ◽  
Pattern Visual Evoked Potential ◽  
Visual Evoked

Standardization and Validation of the Flash Visual Evoked Potential-P2 Conversion Scores in the Diagnosis of Amnestic Mild Cognitive Impairment and Alzheimer's Dementia

2022 ◽  
pp. 155005942110697
Author(s):  
James E Arruda ◽  
Madison C McInnis ◽  
Jessica Steele
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Amnestic Mild Cognitive Impairment ◽  
Alzheimer’S Dementia ◽  
Alzheimer's Dementia ◽  
Flash Visual Evoked Potential ◽  
Patient Performance ◽  
Visual Evoked

Amnestic mild cognitive impairment (aMCI), which is characterized by normal daily activity, but a significant decline in episodic memory, is now widely accepted as a risk factor for the development of Alzheimer's dementia (AD). Research suggests that many of the same neuropathological changes associated with AD also occur in patients diagnosed with aMCI. A recent review of the literature revealed that the latency of the flash visual-evoked potential-P2 (FVEP-P2) may possess pathognomonic information that may assist in the early detection of aMCI. While standards exist for the recording of FVEP-P2, individual clinics often use recording parameters that may differ, resulting in latencies that may not generalize beyond the clinic that produced them. The present article illustrates the process by which the FVEP-P2 latency can be standardized across clinics using FVEP-P2 Conversion Scores. We then demonstrate the diagnostic accuracy of the newly developed scores. Method: In the present investigation, we used the previously unpublished data containing the FVEP-P2 latencies of 45 AD and 60 controls. Result: We were able to demonstrate the process by which individual clinics may first standardize FVEP-P2 latencies and then examine patient performance using FVEP-P2 Conversion Scores, providing clinicians with a richer context from which to examine the patient performance. Conclusion: Consistent with the findings of previous research, the findings of the present investigation support the use of the FVEP-P2 Conversion Scores in the diagnosis of AD. Future directions, including the modification of recording parameters associated with the FVEP-P2, are also discussed.

scholarly journals The pattern visual evoked potential

1994 ◽  
Vol 86 (1) ◽  
pp. 65-79 ◽  
Author(s):  
Mitchell Brigell ◽  
David I. Kaufman ◽  
Phyllis Bobak ◽  
Ahmad Beydoun
Keyword(s):  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Pattern Visual Evoked Potential ◽  
Visual Evoked

Epilepsy and Medication Effects on the Pattern Visual Evoked Potential*

2005 ◽  
Vol 110 (1) ◽  
pp. 121-131 ◽  
Author(s):  
Andrew M. Geller ◽  
H. Ken. Hudnell ◽  
Bradley V. Vaughn ◽  
John A. Messenheimer ◽  
William K. Boyes
Keyword(s):  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Pattern Visual Evoked Potential ◽  
Medication Effects ◽  
Visual Evoked

Pattern visual evoked potential in hypothyroid patients

2019 ◽  
Vol 138 (2) ◽  
pp. 77-84
Author(s):  
Abbas Azimi ◽  
Shokoufeh Bonakdaran ◽  
Javad Heravian ◽  
Parvin layegh ◽  
Negareh Yazdani ◽  
...  
Keyword(s):  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Pattern Visual Evoked Potential ◽  
Hypothyroid Patients ◽  
Visual Evoked

scholarly journals Comparing isolated-check visual evoked potential, pattern visual evoked potential, and standard automated perimetry in dysthyroid optic neuropathy eyes

Eye ◽  
2020 ◽  
Author(s):  
Xin Qi ◽  
Boding Tong ◽  
Weikun Hu ◽  
Ban Luo
Keyword(s):  
Optic Neuropathy ◽  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Mean Deviation ◽  
Automated Perimetry ◽  
Standard Automated Perimetry ◽  
Dysthyroid Optic Neuropathy ◽  
Pattern Visual Evoked Potential ◽  
Diagnostic Capabilities ◽  
Visual Evoked

Abstract Objective To determine the diagnostic ability of isolated-check visual evoked potential (icVEP), pattern visual evoked potential (pVEP), and standard automated perimetry (SAP) between dysthyroid optic neuropathy (DON) and thyroid-associated ophthalmopathy (TAO) without DON (non-DON). Methods This is a case-control study, 49 bilateral patients (26 DON and 23 non-DON) were included. icVEP, pVEP, and SAP were conducted in all the subjects, icVEP parameters compared were signal-to-noise ratios (SNRs) under 8, 16, and 32% depth of modulation (DOM). pVEP parameters compared were amplitude and latency. SAP parameters were mean deviation (MD) and pattern standard deviation (PSD). The area under the receiver operating characteristic (ROC) curve (AUC), net reclassification index (NRI), integrated discrimination index (IDI), and decision curve analysis (DCA) were applied for analysis. Results In icVEP, values of SNR in DON were significantly smaller than non-DON (p < 0.05). In pVEP, P100 latent time in DON was significantly larger than non-DON (p = 0.0026). In SAP, value of PSD in DON was larger than non-DON (p = 0.0006), and value of MD in DON was smaller (p = 0.0007). AUC, NRI, and IDI among the three tests were not significantly different. DCA showed that SNR of icVEP under 8% DOM was the farthest from the two extreme curves. Conclusions icVEP, pVEP, and SAP have equal diagnostic capabilities to discern between DON and non-DON. In addition, icVEP may represent a significant ancillary diagnostic approach to DON detection, with more clinical benefit.

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