ObjectiveRett syndrome (RTT) is a neurodevelopmental disorder caused by mutation of the X-linked MECP2 gene and characterized by developmental regression during the first few years of life. The objective of this study was to investigate if the visual evoked potential (VEP) could be used as an unbiased, quantitative biomarker to monitor brain function in RTT. MethodsWe recorded pattern-reversal VEPs in Mecp2 heterozygous female mice and 34 girls with RTT. The amplitudes and latencies of VEP waveform components were quantified, and were related to disease stage, clinical severity, and MECP2 mutation type in patients. Visual acuity was also assessed in both mice and patients by modulating the spatial frequency of the stimuli. ResultsMecp2 heterozygous female mice and RTT patients exhibited a similar decrease in VEP amplitude that was most striking in the later stages of the disorder. RTT patients also displayed a slower recovery from the principal peak of the VEP response that was impacted by MECP2 mutation type. When the spatial frequency of the stimulus was increased, both patients and mice displayed a deficit in discriminating smaller patterns, indicating lower visual spatial acuity in RTT. InterpretationVEP is a method that can be used to assess brain function across species and in children with severe disabilities like RTT. Our findings support the introduction of standardized VEP analysis in clinical and research settings to probe the neurobiological mechanism underlying functional impairment and to longitudinally monitor progression of the disorder and response to treatment

Visual evoked potentials detect cortical processing deficits in Rett syndrome / Leblanc, Jocelyn J.; Degregorio, Geneva; Centofante, Eleonora; Vogel Farley, Vanessa K.; Barnes, Katherine; Kaufmann, Walter E.; Fagiolini, Michela; Nelson, Charles A.. - In: ANNALS OF NEUROLOGY. - ISSN 0364-5134. - 78:5(2015), pp. 775-786. [10.1002/ana.24513]

Visual evoked potentials detect cortical processing deficits in Rett syndrome

CENTOFANTE, ELEONORA;
2015

Abstract

ObjectiveRett syndrome (RTT) is a neurodevelopmental disorder caused by mutation of the X-linked MECP2 gene and characterized by developmental regression during the first few years of life. The objective of this study was to investigate if the visual evoked potential (VEP) could be used as an unbiased, quantitative biomarker to monitor brain function in RTT. MethodsWe recorded pattern-reversal VEPs in Mecp2 heterozygous female mice and 34 girls with RTT. The amplitudes and latencies of VEP waveform components were quantified, and were related to disease stage, clinical severity, and MECP2 mutation type in patients. Visual acuity was also assessed in both mice and patients by modulating the spatial frequency of the stimuli. ResultsMecp2 heterozygous female mice and RTT patients exhibited a similar decrease in VEP amplitude that was most striking in the later stages of the disorder. RTT patients also displayed a slower recovery from the principal peak of the VEP response that was impacted by MECP2 mutation type. When the spatial frequency of the stimulus was increased, both patients and mice displayed a deficit in discriminating smaller patterns, indicating lower visual spatial acuity in RTT. InterpretationVEP is a method that can be used to assess brain function across species and in children with severe disabilities like RTT. Our findings support the introduction of standardized VEP analysis in clinical and research settings to probe the neurobiological mechanism underlying functional impairment and to longitudinally monitor progression of the disorder and response to treatment
2015
aging; animals; biomarkers; child; child, preschool; disease progression; electroencephalography; evoked potentials, visual; female; humans; infant; methyl-cpg-binding protein 2; mice; mice, inbred c57bl; mutation; photic stimulation; rett syndrome; visual acuity; visual cortex; neurology; neurology (clinical); medicine (all)
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Visual evoked potentials detect cortical processing deficits in Rett syndrome / Leblanc, Jocelyn J.; Degregorio, Geneva; Centofante, Eleonora; Vogel Farley, Vanessa K.; Barnes, Katherine; Kaufmann, Walter E.; Fagiolini, Michela; Nelson, Charles A.. - In: ANNALS OF NEUROLOGY. - ISSN 0364-5134. - 78:5(2015), pp. 775-786. [10.1002/ana.24513]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/931003
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