Rare Diseases Clinical Research Network: Neurophysiological Correlates

NCT03077308 | Completed DMC

• 1 other identifier: RDCRN 5212
• Study Type: observational
• Target: 185
• Locations: 1 country
• Sites: 5

Brief Summary

The overall purpose of this project is to advance understanding of the neurophysiological features of Rett syndrome (RTT), MECP2 Duplication (MECP2 Dup) and RTT-related disorders (CDKL5, FOXG1) to gain insight into disease pathogenesis, with an emphasis on identifying biomarkers of disease evolution and severity. This specific study is intertwined to the core study Natural History of Rett Syndrome and Related Disorders (RTT5211), which characterizes range of clinical involvement and genotype-phenotype correlations and will provide phenotypical data for determining the clinical relevance of the neurophysiologic parameters; study subjects here are co- and primarily enrolled in RTT5211. The proposed studies will serve as basis of future translational investigations, including further refinement of biomarkers, development of outcome measures, and clinical trials per se.

Conditions

Rett Syndrome, Preserved Speech Variant; Mecp2 Duplication Syndrome; Rett-related Disorders

Keywords

Auditory ERP, Visual ERP, EEG

Outcome Measures

Primary Outcomes (3)

• Auditory Event-related potentials

  EEG will be filtered between 0.5 and 400Hz. The EEG will be segmented around each stimulus presentation. 200msec prior to 1000msec post each stimulus will be collected and averaged for each trial for each electrode. The electrodes with highest averaged N1 waveforms, predicted to be posterior temporal (T5/P3/T3) electrodes, will be used for subsequent analysis. The averaged waveforms will be analyzed for latency to N1 and P1 peak frm which the auditory event related potentials will be the main parameter for statistical analysis.

  3 years

• Visual Event-related potentials

  VEP analysis will be similar to the AEP analysis. EEG will be prepared using the same methodology but using occipital electrodes with Oz as the primary electrode of analysis. The EEG will be averaged from 200msec prior to 1000ms post stimulus. The N1, P1, and N2 components will be identified and will be averaged and the latency and amplitude of the peaks quantified. P1 latency and N1-P1 time will be the primary end point of the study. The latency will be used for the statistical parameter.

  3 years

• EEG

  For frequency based analysis, 10-20 ten-second epochs of noise free EEG without clear eye blinks during wakefulness and eyes open; 10 ten-second epochs of wakefulness and eyes closed (assessed by video); and 10-20 ten-second epochs of EEG during each stage of sleep will be analyzed. A prescreen of EEG using a template matching algorithm (EEGlab) can be used to reduce amount of data to be reviewed. For theta and gamma band activity, the EEG will be band passed filtered between 2-10 and 25-70Hz, respectively, and a FFT performed on the filtered data. Spike location, frequency, and activity (change with sleep, eye closure, stimulation) will be calculated.

  3 years

Study Arms (4)

Rett Syndrome

Auditory and Visual event-related potentials (ERP) and EEG in 60 individuals with Rett syndrome.

Procedure: Auditory and Visual Event-related Potentials and EEG

MECP2 Duplication Syndrome

Auditory and Visual event-related potentials (ERP) and EEG in 18 individuals with MECP2 Duplication syndrome.

Procedure: Auditory and Visual Event-related Potentials and EEG

Rett-related disorders

Auditory and Visual event-related potentials (ERP) and EEG in 18 individuals with CDKL5 syndrome and 14 individuals with FOXG1 syndrome.

Procedure: Auditory and Visual Event-related Potentials and EEG

Controls

Auditory and Visual event-related potentials (ERP) and EEG in 60 Control individuals (30 males and 30 females).

Procedure: Auditory and Visual Event-related Potentials and EEG

Interventions

Auditory and Visual Event-related Potentials and EEG PROCEDURE

Specifically, through up to three standardized sessions (i.e., annual \[every 10-14 months\]), we will assess AEP and VEP. ERP recordings will also provide data for specific rhythms/band (gamma and alpha) pattern analyses as secondary measures as well as technical control data, which will help to exclude those with co-current seizures.

Controls; MECP2 Duplication Syndrome; Rett Syndrome; Rett-related disorders

Eligibility Criteria

• Age: 2 Years - 65 Years
• Gender Eligibility Details: Females and males with specific disorders as well as 30 female and male controls.2
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

Individuals with RTT, MECP2 Dup, and RTT-related disorders (mutations or deletions in CDKL5 and FOXG1 genes) who are also enrolled in the RTT5211 Protocol, which collects longitudinal clinical and neurobehavioral data in the above mentioned disorders. Participants will be linked to the RTT5211 Protocol by their RDCRN identification numbers. All participants will be tested for MECP2, CDKL5, and/or FOXG1 mutations; those with RTT phenotype will be assessed in terms of diagnostic criteria for classic or atypical RTT. No phenotypic selection will be performed; the cohort will be representative of each disorder. 60 typically developing girls and boys (30 each) will be enrolled to serve as controls for all three cohorts with age matching to the RTT/CDKL5 girls and MECP2 Dup/FOXG1 boy cohorts.

You may qualify if:

• A cohort of 60 typically developing girls and boys (30 each) will be enrolled to serve as controls. Typical development in the control group will be confirmed by normal intelligence quotient scores or equivalent scores on developmental tests using standardized measures and negative psychiatric diagnoses on a standardized diagnostic interview administered to their mothers, fathers or guardians (Diagnostic Interview for Children and Adolescents, Revised: Parents' Version). All control subjects must have a negative history of neurologic impairment or neuropsychiatric conditions and show no clinical evidence of a genetic disorder.

Sponsors & Collaborators

• University of Alabama at Birmingham: lead
• Children's Hospital of Philadelphia: collaborator
• University of Colorado, Denver: collaborator
• Boston Children's Hospital: collaborator
• Vanderbilt University: collaborator
• University of South Florida: collaborator
• International Rett Syndrome Foundation Rettsyndrome.org: collaborator
• Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD): collaborator

Study Sites (5)

University of Colorado Denver

Denver, Colorado, 80045-2571, United States

Location

Boston Children's Hospital

Boston, Massachusetts, 02115-5724, United States

Location

Cincinnati Children's Hospital

Cincinnati, Ohio, 45229, United States

Location

Children's Hospital of Philadelphia

Philadelphia, Pennsylvania, 19104-4318, United States

Location

Vanderbilt University

Nashville, Tennessee, 37212, United States

Location

Related Publications (26)

• Gandal MJ, Edgar JC, Ehrlichman RS, Mehta M, Roberts TP, Siegel SJ. Validating gamma oscillations and delayed auditory responses as translational biomarkers of autism. Biol Psychiatry. 2010 Dec 15;68(12):1100-6. doi: 10.1016/j.biopsych.2010.09.031.

  PMID: 21130222 BACKGROUND

• Peters SU, Gordon RL, Key AP. Induced gamma oscillations differentiate familiar and novel voices in children with MECP2 duplication and Rett syndromes. J Child Neurol. 2015 Feb;30(2):145-52. doi: 10.1177/0883073814530503. Epub 2014 Apr 27.

  PMID: 24776956 BACKGROUND

• Deregnier RA, Nelson CA, Thomas KM, Wewerka S, Georgieff MK. Neurophysiologic evaluation of auditory recognition memory in healthy newborn infants and infants of diabetic mothers. J Pediatr. 2000 Dec;137(6):777-84. doi: 10.1067/mpd.2000.109149.

  PMID: 11113833 BACKGROUND

• Rojas DC, Teale PD, Maharajh K, Kronberg E, Youngpeter K, Wilson LB, Wallace A, Hepburn S. Transient and steady-state auditory gamma-band responses in first-degree relatives of people with autism spectrum disorder. Mol Autism. 2011 Jul 5;2:11. doi: 10.1186/2040-2392-2-11.

  PMID: 21729257 BACKGROUND

• Liao W, Gandal MJ, Ehrlichman RS, Siegel SJ, Carlson GC. MeCP2+/- mouse model of RTT reproduces auditory phenotypes associated with Rett syndrome and replicate select EEG endophenotypes of autism spectrum disorder. Neurobiol Dis. 2012 Apr;46(1):88-92. doi: 10.1016/j.nbd.2011.12.048. Epub 2012 Jan 9.

  PMID: 22249109 BACKGROUND

• LeBlanc JJ, DeGregorio G, Centofante E, Vogel-Farley VK, Barnes K, Kaufmann WE, Fagiolini M, Nelson CA. Visual evoked potentials detect cortical processing deficits in Rett syndrome. Ann Neurol. 2015 Nov;78(5):775-86. doi: 10.1002/ana.24513. Epub 2015 Sep 18.

  PMID: 26332183 BACKGROUND

• Khwaja OS, Ho E, Barnes KV, O'Leary HM, Pereira LM, Finkelstein Y, Nelson CA 3rd, Vogel-Farley V, DeGregorio G, Holm IA, Khatwa U, Kapur K, Alexander ME, Finnegan DM, Cantwell NG, Walco AC, Rappaport L, Gregas M, Fichorova RN, Shannon MW, Sur M, Kaufmann WE. Safety, pharmacokinetics, and preliminary assessment of efficacy of mecasermin (recombinant human IGF-1) for the treatment of Rett syndrome. Proc Natl Acad Sci U S A. 2014 Mar 25;111(12):4596-601. doi: 10.1073/pnas.1311141111. Epub 2014 Mar 12.

  PMID: 24623853 BACKGROUND

• Larimore JL, Chapleau CA, Kudo S, Theibert A, Percy AK, Pozzo-Miller L. Bdnf overexpression in hippocampal neurons prevents dendritic atrophy caused by Rett-associated MECP2 mutations. Neurobiol Dis. 2009 May;34(2):199-211. doi: 10.1016/j.nbd.2008.12.011. Epub 2009 Jan 3.

  PMID: 19217433 BACKGROUND

• Blackman MP, Djukic B, Nelson SB, Turrigiano GG. A critical and cell-autonomous role for MeCP2 in synaptic scaling up. J Neurosci. 2012 Sep 26;32(39):13529-36. doi: 10.1523/JNEUROSCI.3077-12.2012.

  PMID: 23015442 BACKGROUND

• Stuss DP, Boyd JD, Levin DB, Delaney KR. MeCP2 mutation results in compartment-specific reductions in dendritic branching and spine density in layer 5 motor cortical neurons of YFP-H mice. PLoS One. 2012;7(3):e31896. doi: 10.1371/journal.pone.0031896. Epub 2012 Mar 7.

  PMID: 22412847 BACKGROUND

• Kaufmann WE, Johnston MV, Blue ME. MeCP2 expression and function during brain development: implications for Rett syndrome's pathogenesis and clinical evolution. Brain Dev. 2005 Nov;27 Suppl 1:S77-S87. doi: 10.1016/j.braindev.2004.10.008. Epub 2005 Sep 22.

  PMID: 16182491 BACKGROUND

• Na ES, Nelson ED, Adachi M, Autry AE, Mahgoub MA, Kavalali ET, Monteggia LM. A mouse model for MeCP2 duplication syndrome: MeCP2 overexpression impairs learning and memory and synaptic transmission. J Neurosci. 2012 Feb 29;32(9):3109-17. doi: 10.1523/JNEUROSCI.6000-11.2012.

  PMID: 22378884 BACKGROUND

• Wang IT, Allen M, Goffin D, Zhu X, Fairless AH, Brodkin ES, Siegel SJ, Marsh ED, Blendy JA, Zhou Z. Loss of CDKL5 disrupts kinome profile and event-related potentials leading to autistic-like phenotypes in mice. Proc Natl Acad Sci U S A. 2012 Dec 26;109(52):21516-21. doi: 10.1073/pnas.1216988110. Epub 2012 Dec 10.

  PMID: 23236174 BACKGROUND

• Na ES, Nelson ED, Kavalali ET, Monteggia LM. The impact of MeCP2 loss- or gain-of-function on synaptic plasticity. Neuropsychopharmacology. 2013 Jan;38(1):212-9. doi: 10.1038/npp.2012.116. Epub 2012 Jul 11.

  PMID: 22781840 BACKGROUND

• Chao HT, Zoghbi HY, Rosenmund C. MeCP2 controls excitatory synaptic strength by regulating glutamatergic synapse number. Neuron. 2007 Oct 4;56(1):58-65. doi: 10.1016/j.neuron.2007.08.018.

  PMID: 17920015 BACKGROUND

• 17. Wechsler DL (1991). The Wechsler Intelligence Scale for Children -III. San Antonio: The Psychological Corporation.

  BACKGROUND

• 18. Reich MJ, Shayka T, Taibleson C (1991) The Diagnostic Interview for Children and Adolescents-Revised. St Louis: Washington University Press.

  BACKGROUND

• Neul JL, Fang P, Barrish J, Lane J, Caeg EB, Smith EO, Zoghbi H, Percy A, Glaze DG. Specific mutations in methyl-CpG-binding protein 2 confer different severity in Rett syndrome. Neurology. 2008 Apr 15;70(16):1313-21. doi: 10.1212/01.wnl.0000291011.54508.aa. Epub 2008 Mar 12.

  PMID: 18337588 BACKGROUND

• Bebbington A, Anderson A, Ravine D, Fyfe S, Pineda M, de Klerk N, Ben-Zeev B, Yatawara N, Percy A, Kaufmann WE, Leonard H. Investigating genotype-phenotype relationships in Rett syndrome using an international data set. Neurology. 2008 Mar 11;70(11):868-75. doi: 10.1212/01.wnl.0000304752.50773.ec.

  PMID: 18332345 BACKGROUND

• Cuddapah VA, Pillai RB, Shekar KV, Lane JB, Motil KJ, Skinner SA, Tarquinio DC, Glaze DG, McGwin G, Kaufmann WE, Percy AK, Neul JL, Olsen ML. Methyl-CpG-binding protein 2 (MECP2) mutation type is associated with disease severity in Rett syndrome. J Med Genet. 2014 Mar;51(3):152-8. doi: 10.1136/jmedgenet-2013-102113. Epub 2014 Jan 7.

  PMID: 24399845 BACKGROUND

• Goffin D, Allen M, Zhang L, Amorim M, Wang IT, Reyes AR, Mercado-Berton A, Ong C, Cohen S, Hu L, Blendy JA, Carlson GC, Siegel SJ, Greenberg ME, Zhou Z. Rett syndrome mutation MeCP2 T158A disrupts DNA binding, protein stability and ERP responses. Nat Neurosci. 2011 Nov 27;15(2):274-83. doi: 10.1038/nn.2997.

  PMID: 22119903 BACKGROUND

• McLeod F, Ganley R, Williams L, Selfridge J, Bird A, Cobb SR. Reduced seizure threshold and altered network oscillatory properties in a mouse model of Rett syndrome. Neuroscience. 2013 Feb 12;231:195-205. doi: 10.1016/j.neuroscience.2012.11.058. Epub 2012 Dec 10.

  PMID: 23238573 BACKGROUND

• Pillion JP, Naidu S. Auditory brainstem response findings in Rett syndrome: stability over time. J Pediatr. 2000 Sep;137(3):393-6. doi: 10.1067/mpd.2000.107952.

  PMID: 10969266 BACKGROUND

• D'Cruz JA, Wu C, Zahid T, El-Hayek Y, Zhang L, Eubanks JH. Alterations of cortical and hippocampal EEG activity in MeCP2-deficient mice. Neurobiol Dis. 2010 Apr;38(1):8-16. doi: 10.1016/j.nbd.2009.12.018. Epub 2010 Jan 4.

  PMID: 20045053 BACKGROUND

• Delorme A, Makeig S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods. 2004 Mar 15;134(1):9-21. doi: 10.1016/j.jneumeth.2003.10.009.

  PMID: 15102499 BACKGROUND

• Brown MW 3rd, Porter BE, Dlugos DJ, Keating J, Gardner AB, Storm PB Jr, Marsh ED. Comparison of novel computer detectors and human performance for spike detection in intracranial EEG. Clin Neurophysiol. 2007 Aug;118(8):1744-52. doi: 10.1016/j.clinph.2007.04.017. Epub 2007 Jun 1.

  PMID: 17544322 BACKGROUND

MeSH Terms

Conditions

Rett Syndrome, Preserved Speech Variant; Lubs X-linked mental retardation syndrome

Study Officials

• Eric Marsh, MD, PhD

  Children's Hospital of Philadelphia

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principal Investigator

Study Record Dates

• First Submitted: March 1, 2017
• First Posted: March 10, 2017
• Study Start: January 2, 2017
• Primary Completion: July 31, 2021
• Study Completion: July 31, 2021
• Last Updated: August 5, 2021

Record last verified: 2021-08

Data Sharing

• IPD Sharing: Will share

Locations

US (5)