Study of the visual evoked magnetic field with the m-sequence technique.
نویسندگان
چکیده
PURPOSE Multifocally stimulated visual evoked magnetic field (VEF) examination with an m-sequence technique (multifocal VEF; mVEF) was studied, and the neural generators at peaks of mVEF were estimated in the visual cortex. METHODS Visual field stimulation was generated by a multifocal testing system with use of the m-sequence technique. The stimulation pattern covered a central area extending from 0.6 degrees to 10 degrees in radius outward from the center of four visual-field quadrants. The stimulation pattern was projected onto a screen by a liquid crystal projector. VEFs of 14 healthy adults were recorded with a 160-channel, whole-head-type magnetoencephalography (MEG) system. The output signals of 16 selected MEG sensors covering the occipital region were recorded for each subject with the multifocal testing system, and the second-order responses were calculated. The analyzed response data files were transferred to the MEG system, a single equivalent current dipole (ECD) was estimated to locate the neural generator, and the localization was superimposed onto the corresponding brain magnetic resonance image of the subject. RESULTS mVEFs showed three peak waves (N75m, P100m, N145m) in 75% of the subjects and two peak waves (N75m, N145m) in 25%. (N, P and m denote negative, positive, and magnetic fields, respectively.) Latencies of the first and the last peak were similar between the two kinds of peak waves. ECD examination showed more than 97% of goodness of fit at all peaks, and the relation between EDCs and the stimulated visual field coincided with a retinotopic organization that fit a cruciform model in all subjects. ECD depths from the occipital pole were similar to the depth expected from the human linear cortical magnification factor model in all subjects. Main neural generators of all mVEF components (N75m, P100m, N145m) were shown in the striate cortex (V1). CONCLUSIONS Testing the VEF with an m-sequence technique showed stable responses to simultaneous stimulation of four visual-field quadrants. Consistency of correlation of the estimated ECD with the known cortical organization of the primary visual cortex confirmed the reliability of this examination. The three mVEF peaks were thought to derive mainly from V1 activity.
منابع مشابه
Abnormalitites of Visual Evoked Potential in Migraine Patients
Background: Visual evoked potential (VEP) is regarded as a useful, reliable and non-invasive technique for the diagnosis of lesions in the optic pathway. This technique was used to investigate visual function in migraine. Materials and Methods: 53 migraine patients (27 migraine cases with aura and 26 common migraine cases) and 55 controls were prospectively enrolled in this study. Visual ev...
متن کاملInvestigating the effects of glaucomatous (POAG) damage on the mVEP parameters
Introduction: Glaucoma is considered as a major cause of irreversible vision loss, worldwide. Glaucoma includes a diverse ophthalmopathies characterized by attenuating the neural and connective tissue segments and eventually progression of specific patterns of visual dysfunction. Currently, perimetry is known as the most accurate diagnostic method in glaucoma and its follow up...
متن کاملComparison of visual evoked potential changes in patients with alzheimer, vascular dementia and minimal cognitive Impairment with healthy people: a case-control study
Background: Alzheimer dementia as the most common cause of dementia is a chronic, progressive, irreversible and incurable disease. The second most common cause of dementia after Alzheimer is vascular dementia. One of the systems involved in dementia is the visuospatial system and visual evoked potential (VEP) can be one of the diagnostic methods for this disease. Therefore, the present study ai...
متن کاملFeature Extraction of Visual Evoked Potentials Using Wavelet Transform and Singular Value Decomposition
Introduction: Brain visual evoked potential (VEP) signals are commonly known to be accompanied by high levels of background noise typically from the spontaneous background brain activity of electroencephalography (EEG) signals. Material and Methods: A model based on dyadic filter bank, discrete wavelet transform (DWT), and singular value decomposition (SVD) was developed to analyze the raw data...
متن کاملMachine learning based Visual Evoked Potential (VEP) Signals Recognition
Introduction: Visual evoked potentials contain certain diagnostic information which have proved to be of importance in the visual systems functional integrity. Due to substantial decrease of amplitude in extra macular stimulation in commonly used pattern VEPs, differentiating normal and abnormal signals can prove to be quite an obstacle. Due to developments of use of machine l...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Investigative ophthalmology & visual science
دوره 43 6 شماره
صفحات -
تاریخ انتشار 2002