Optic gliomas in neurofibromatosis type 1: role of visual evoked potentials

Abstract Background: Neurofibromatosis type 1 (NF1) is a genetic disorder often associated with cognitive dysfunctions, including a high occurrence of deficits in visuoperceptual skills. The neural underpinnings of these visuoperceptual deficits are not fully understood. We used steady-state visual evoked potentials (SSVEPs) to investigate possible alterations in the synchronization of neural activity in the occipital cortex of children with NF1. Methods: SSVEPs were measured using electroencephalography and compared between children with NF1 (n = 28) and neurotypical controls (n=28) aged between 4 and 13 years old. SSVEPs were recorded during visual stimulation with coloured icons flickering at three different frequencies (6Hz, 10Hz and 15 Hz) and analyzed in terms of signal-to-noise ratios. A mixed design ANCOVA was performed to compare SSVEP responses between groups at the three stimulation frequencies. Pearson’s correlations with levels of intellectual functioning as well as with symptoms of ADHD, ASD and emotional/behavioural problems were performed. The impact of psychostimulant medication on the SSVEP responses was analyzed in a subset of the NF1 group (n=8) with paired t-tests.Results: We observed reduced signal-to-noise ratios of the SSVEP responses in children with NF1. The SSVEP responses were negatively correlated with symptoms of inattention and with symptoms of emotional/behavioural problems in the NF1 group. The SSVEP response generated by the lowest stimulation frequency (i.e., 6Hz) was rescued with the intake of psychostimulant medication. Conclusions: Impaired processing of rhythmic visual stimulation was evidenced in children with NF1 through measures of SSVEP responses. Those responses seem to be more reduced in children with NF1 who exhibit more symptoms of inattention and emotional/behavioral problems in their daily life. SSVEPs are potentially sensitive electrophysiological markers that could be included in future studies investigating the impact of medication on brain activity and cognitive functioning in children with NF1.

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Role of Visual Evoked Potentials in Spatial dissemination for Multiple Sclerosis Diagnosis

10.26226/morressier.59a3e8b3d462b8028d894091 ◽

2017 ◽

Author(s):

Giuseppe Fenu

Keyword(s):

Multiple Sclerosis ◽

Evoked Potentials ◽

Visual Evoked Potentials ◽

Multiple Sclerosis Diagnosis ◽

Visual Evoked

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Skeletal Complications in Neurofibromatosis Type 1: The Role of Neurofibromin Haploinsufficiency in Defective Skeletal Remodeling and Bone Healing in NF1

10.21236/ada468693 ◽

2007 ◽

Author(s):

Kevin P. McHugh

Keyword(s):

Bone Healing ◽

Neurofibromatosis Type 1 ◽

Neurofibromatosis Type ◽

Skeletal Complications

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Using advanced analysis of multifocal visual-evoked potentials to evaluate the risk of clinical progression in patients with radiologically isolated syndrome

Scientific Reports ◽

10.1038/s41598-021-81826-z ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

J. M. Miguel ◽

M. Roldán ◽

C. Pérez-Rico ◽

M. Ortiz ◽

L. Boquete ◽

...

Keyword(s):

Evoked Potentials ◽

Visual Evoked Potentials ◽

Area Under The Curve ◽

Multifocal Visual Evoked Potentials ◽

Radiologically Isolated Syndrome ◽

Advanced Analysis ◽

The Time Domain ◽

Visual Evoked

AbstractThis study aimed to assess the role of multifocal visual-evoked potentials (mfVEPs) as a guiding factor for clinical conversion of radiologically isolated syndrome (RIS). We longitudinally followed a cohort of 15 patients diagnosed with RIS. All subjects underwent thorough ophthalmological, neurological and imaging examinations. The mfVEP signals were analysed to obtain features in the time domain (SNRmin: amplitude, Latmax: monocular latency) and in the continuous wavelet transform (CWT) domain (bmax: instant in which the CWT function maximum appears, Nmax: number of CWT function maximums). The best features were used as inputs to a RUSBoost boosting-based sampling algorithm to improve the mfVEP diagnostic performance. Five of the 15 patients developed an objective clinical symptom consistent with an inflammatory demyelinating central nervous system syndrome during follow-up (mean time: 13.40 months). The (SNRmin) variable decreased significantly in the group that converted (2.74 ± 0.92 vs. 4.07 ± 0.95, p = 0.01). Similarly, the (bmax) feature increased significantly in RIS patients who converted (169.44 ± 24.81 vs. 139.03 ± 11.95 (ms), p = 0.02). The area under the curve analysis produced SNRmin and bmax values of 0.92 and 0.88, respectively. These results provide a set of new mfVEP features that can be potentially useful for predicting prognosis in RIS patients.

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