RT info:eu-repo/semantics/article
T1 Identification of clusters in multifocal electrophysiology recordings to maximize discriminant capacity (patients vs. control subjects)
A1 Ortiz del Castillo, Miguel
A1 Cordón, Beatriz
A1 Sánchez Morla, Eva María
A1 Vilades, Elisa
A1 Rodrigo Sanjuán, María Jesús
A1 Cavaliere Ballesta, Carlo
A1 Boquete Vázquez, Luciano
A1 García Martín, Elena
K1 Multifocal electroretinogram
K1 Multifocal visual-evoked potential
K1 Multiple sclerosis
K1 Visual field
K1 Electrónica
K1 Electronics
K1 Medicina
K1 Medicine
AB PurposeTo propose a new method of identifying clusters in multifocal electrophysiology (multifocal electroretinogram: mfERG; multifocal visual-evoked potential: mfVEP) that conserve the maximum capacity to discriminate between patients and control subjects.MethodsThe theoretical framework proposed creates arbitrary N-size clusters of sectors. The capacity to discriminate between patients and control subjects is assessed by analysing the area under the receiver operator characteristic curve (AUC). As proof of concept, the method is validated using mfERG recordings taken from both eyes of control subjects (n = 6) and from patients with multiple sclerosis (n = 15).ResultsConsidering the amplitude of wave P1 as the analysis parameter, the maximum value of AUC = 0.7042 is obtained with N = 9 sectors. Taking into account the AUC of the amplitudes and latencies of waves N1 and P1, the maximum value of the AUC = 0.6917 with N = 8 clustered sectors. The greatest discriminant capacity is obtained by analysing the latency of wave P1: AUC = 0.8854 with a cluster of N = 12 sectors.ConclusionThis paper demonstrates the effectiveness of a method able to determine the arbitrary clustering of multifocal responses that possesses the greatest capacity to discriminate between control subjects and patients when applied to the visual field of mfERG or mfVEP recordings. The method may prove helpful in diagnosing any disease that is identifiable in patients’ mfERG or mfVEP recordings and is extensible to other clinical tests, such as optical coherence tomography.
PB Springer
SN 0012-4486
YR 2019
FD 2019-09-19
LK http://hdl.handle.net/10017/41573
UL http://hdl.handle.net/10017/41573
LA eng
NO Agencia Estatal de Investigación
DS MINDS@UW
RD 29-abr-2024