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

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

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.

Sweep Pattern Visual Evoked Potential Acuity in Children during Their Periods of Visual Development

2011 ◽  
Vol 226 (4) ◽  
pp. 220-227 ◽  
Author(s):  
Lu Li ◽  
Yu Su ◽  
Chang-zheng Chen ◽  
Chao Feng ◽  
Hong-mei Zheng ◽  
...  
Keyword(s):  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Visual Development ◽  
Pattern Visual Evoked Potential ◽  
Visual Evoked

Pattern Visual Evoked Potential Mapping in Alzheimers Disease Correlations with Visuospatial Impairment

1996 ◽  
Vol 7 (2) ◽  
pp. 63-68 ◽  
Author(s):  
Vittorio Martinelli ◽  
Tiziana Locatelli ◽  
Giancarlo Comi ◽  
Chiara Lia ◽  
Margherita Alberoni ◽  
...  
Keyword(s):  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Alzheimers Disease ◽  
Pattern Visual Evoked Potential ◽  
Potential Mapping ◽  
Visual Evoked
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