JAMA psychiatry · 2023
Choosing Between Ketamine and Electroconvulsive Therapy for Outpatients With Treatment-Resistant Depression-Advantage Ketamine?
СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Scott Martin T W, Xu Hui, Yakovleva Alexandra, Tibshirani Robert, Goldberg Jeffrey L, Norcia Anthony M
Аннотация
PURPOSE: This work aims to evaluate the relative contribution of the amplitude and phase of both ON- and OFF-pathway biased steady-state visually evoked potentials (SSVEPs) to the classification of patients with glaucoma from healthy controls.
METHODS: SSVEPs were recorded for sawtooth luminance increments (ON-biasing) and decrements (OFF-biasing), modulating at a temporal frequency of 2.73 Hz. SSVEP data from 98 adults with glaucoma and 71 controls were used to train a set of logistic regressions. Data were partitioned prior to training to investigate the relative contribution to classification for amplitude and phase features derived from ON- versus OFF-pathway stimulation.
RESULTS: We report moderate overall classification accuracy (area under the curve ∼0.7). Classification based solely on signal phase features significantly outperformed classification based solely on signal amplitude features. Classification using OFF-pathway biasing features produced a statistically significant improvement in classification only when training on signal amplitude features. This OFF advantage was not conserved in a dataset with low signal-to-noise eyes removed.
CONCLUSIONS: Our findings highlight the informational value of signal phase, a metric often omitted in applications of the SSVEP to glaucoma and other optic neuropathies. Additionally, our results suggest that OFF-pathway amplitude features may be less vulnerable to the limitations imposed by a low signal-to-noise ratio. However, they are not indicative of a gross difference in glaucoma classification performance between ON- and OFF-pathway biased features.
TRANSLATIONAL RELEVANCE: Electrophysiological estimates of visual signal delay should be considered in future clinical diagnostic tools as they make a material contribution to the classification of glaucomatous eyes.
METHODS: SSVEPs were recorded for sawtooth luminance increments (ON-biasing) and decrements (OFF-biasing), modulating at a temporal frequency of 2.73 Hz. SSVEP data from 98 adults with glaucoma and 71 controls were used to train a set of logistic regressions. Data were partitioned prior to training to investigate the relative contribution to classification for amplitude and phase features derived from ON- versus OFF-pathway stimulation.
RESULTS: We report moderate overall classification accuracy (area under the curve ∼0.7). Classification based solely on signal phase features significantly outperformed classification based solely on signal amplitude features. Classification using OFF-pathway biasing features produced a statistically significant improvement in classification only when training on signal amplitude features. This OFF advantage was not conserved in a dataset with low signal-to-noise eyes removed.
CONCLUSIONS: Our findings highlight the informational value of signal phase, a metric often omitted in applications of the SSVEP to glaucoma and other optic neuropathies. Additionally, our results suggest that OFF-pathway amplitude features may be less vulnerable to the limitations imposed by a low signal-to-noise ratio. However, they are not indicative of a gross difference in glaucoma classification performance between ON- and OFF-pathway biased features.
TRANSLATIONAL RELEVANCE: Electrophysiological estimates of visual signal delay should be considered in future clinical diagnostic tools as they make a material contribution to the classification of glaucomatous eyes.