Portable multi-focal visual evoked potential diagnostics for multiple sclerosis/optic neuritis patients

被引:2
作者
Banijamali, S. Mohammad Ali [1 ]
Versek, Craig [2 ]
Babinski, Kristen [3 ]
Kamarthi, Sagar [1 ]
Green-LaRoche, Deborah [3 ]
Sridhar, Srinivas [2 ,4 ,5 ]
机构
[1] Northeastern Univ, Dept Mech & Ind Engn, Boston, MA USA
[2] NeuroFieldz Inc, Newton, MA 02459 USA
[3] Tufts Univ Sch Med, Tufts Med Ctr, Dept Neurol, Boston, MA USA
[4] Northeastern Univ, Dept Phys, Dept Bioengn, Boston, MA 02115 USA
[5] Northeastern Univ, Dept Chem Engn, Boston, MA 02115 USA
基金
美国国家卫生研究院;
关键词
Multi-focal visual evoked potential (mfVEP); Full-field visual evoked potential (ffVEP); Multiple sclerosis (MS); Optic neuritis; Machine learning; Signal processing; Portable diagnostics; Support vector machine (SVM); OBJECTIVE PERIMETRY; DAMAGE; VEP; TOPOGRAPHY; STANDARD;
D O I
10.1007/s10633-024-09980-z
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
PurposeMultiple sclerosis (MS) is a neuro-inflammatory disease affecting the central nervous system (CNS), where the immune system targets and damages the protective myelin sheath surrounding nerve fibers, inhibiting axonal signal transmission. Demyelinating optic neuritis (ON), a common MS symptom, involves optic nerve damage. We've developed NeuroVEP, a portable, wireless diagnostic system that delivers visual stimuli through a smartphone in a headset and measures evoked potentials at the visual cortex from the scalp using custom electroencephalography electrodes.MethodsSubject vision is evaluated using a short 2.5-min full-field visual evoked potentials (ffVEP) test, followed by a 12.5-min multifocal VEP (mfVEP) test. The ffVEP evaluates the integrity of the visual pathway by analyzing the P100 component from each eye, while the mfVEP evaluates 36 individual regions of the visual field for abnormalities. Extensive signal processing, feature extraction methods, and machine learning algorithms were explored for analyzing the mfVEPs. Key metrics from patients' ffVEP results were statistically evaluated against data collected from a group of subjects with normal vision. Custom visual stimuli with simulated defects were used to validate the mfVEP results which yielded 91% accuracy of classification.Results20 subjects, 10 controls and 10 with MS and/or ON were tested with the NeuroVEP device and a standard-of-care (SOC) VEP testing device which delivers only ffVEP stimuli. In 91% of the cases, the ffVEP results agreed between NeuroVEP and SOC device. Where available, the NeuroVEP mfVEP results were in good agreement with Humphrey Automated Perimetry visual field analysis. The lesion locations deduced from the mfVEP data were consistent with Magnetic Resonance Imaging and Optical Coherence Tomography findings.ConclusionThis pilot study indicates that NeuroVEP has the potential to be a reliable, portable, and objective diagnostic device for electrophysiology and visual field analysis for neuro-visual disorders.
引用
收藏
页码:23 / 45
页数:23
相关论文
共 41 条
[1]  
Aminoff MJ, 2012, AMINOFFS ELECTRODIAG, V6th
[2]  
[Anonymous], 2006, Am J Electroneurodiagnostic Technol, V46, P254, DOI DOI 10.1080/1086508X.2006.11079585
[3]  
Banijamali SMA., 2023, PORTABLE BRAIN VISIO, P126
[4]   The electrophysiological assessment of visual function in Multiple Sclerosis [J].
Barton, Joshua L. ;
Garber, Justin Y. ;
Klistorner, Alexander ;
Barnett, Michael H. .
CLINICAL NEUROPHYSIOLOGY PRACTICE, 2019, 4 :90-96
[5]   THE TOPOGRAPHY OF VISUAL-EVOKED RESPONSE PROPERTIES ACROSS THE VISUAL-FIELD [J].
BASELER, HA ;
SUTTER, EE ;
KLEIN, SA ;
CARNEY, T .
ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1994, 90 (01) :65-81
[6]   Electroencephalogram in humans [J].
Berger, H .
ARCHIV FUR PSYCHIATRIE UND NERVENKRANKHEITEN, 1929, 87 :527-570
[7]   Clinical application of the multifocal VEPs [J].
Betsuin, Y ;
Mashima, Y ;
Ohde, H ;
Inoue, R ;
Oguchi, Y .
CURRENT EYE RESEARCH, 2001, 22 (01) :54-63
[8]  
Buitinck L.., 2013, arXiv
[9]   Reference ranges for clinical electrophysiology of vision [J].
Davis, C. Quentin ;
Hamilton, Ruth .
DOCUMENTA OPHTHALMOLOGICA, 2021, 143 (02) :155-170
[10]  
Ettinger AB., 2014, NEUROLOGIC DIFFERENT, DOI [10.1017/CBO9781139028899, DOI 10.1017/CBO9781139028899]