Electroencephalogram (EEG) network-level excitation-inhibition in GRIN2B-related neurodevelopmental disorders: a pilot case-control series

Jennifer R. Ramautar , Bibiche den Hollander , Cece C. Kooper , Maria Candellero , Marina Diachenko , Additya Sharma , Marije A. B. C. Asbreuk , Jan J. Sprengers , Mieke M. van Haelst , Clara D. van Karnebeek , Klaus Linkenkaer-Hansen , Hilgo Bruining

Rare Disease and Orphan Drugs Journal ›› 2025, Vol. 4 ›› Issue (1) : 1

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Rare Disease and Orphan Drugs Journal ›› 2025, Vol. 4 ›› Issue (1) :1 DOI: 10.20517/rdodj.2024.27
Original Article

Electroencephalogram (EEG) network-level excitation-inhibition in GRIN2B-related neurodevelopmental disorders: a pilot case-control series

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Abstract

Background: Loss of function (LoF) variants in GRIN2B lead to neurodevelopmental delay, which is expected to be mediated by alterations in the excitation-inhibition (E/I) balance resulting from reduced activity of the N-Methyl-D-Aspartate receptor. To test this hypothesis, we use quantitative electroencephalogram to provide insights into network-level estimates of the excitation-inhibition ratio. Methods: a single-center, case-control pilot study was conducted. Eyes-open rest EEG recordings were obtained from children with GRIN2B LoF variants (n = 5, aged 3-12.7; 2 females) who participated in an L-Serine intervention trial and compared to age- and gender-matched typically developing children (TDC) (n = 35, aged 4.3-12.8; 15 females). High-frequency resolution analyses (1-45 Hz) of spectral power and long-range temporal correlations measured by detrended fluctuation analyses (DFA) were performed. The functional E/I ratio (fE/I) was also computed. We used source modeling to identify the brain regions showing aberrant activity in GRIN2B neurodevelopmental disorder (NDD) brain dynamics. Statistical differences were tested by applying bootstrapping analyses. Results: The patients harboring pathogenic GRIN2B LoF variants showed elevated absolute and relative power compared to the control group in the 1-4 Hz range across all brain regions. The GRIN2B group had elevated DFA values almost across all frequencies and brain regions, whereas the fE/I marker was lower at frequencies from 4-13 Hz compared to the TDC group (P < 0.05). Conclusions: our findings indicate that quantitative EEG is strongly affected in GRIN2B and might be a valuable tool for measuring E/I imbalances and evaluating changes resulting from pharmacological interventions.

Keywords

GRIN2B-NDD / EEG / child / excitation / inhibition / spectral power

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Jennifer R. Ramautar, Bibiche den Hollander, Cece C. Kooper, Maria Candellero, Marina Diachenko, Additya Sharma, Marije A. B. C. Asbreuk, Jan J. Sprengers, Mieke M. van Haelst, Clara D. van Karnebeek, Klaus Linkenkaer-Hansen, Hilgo Bruining. Electroencephalogram (EEG) network-level excitation-inhibition in GRIN2B-related neurodevelopmental disorders: a pilot case-control series. Rare Disease and Orphan Drugs Journal, 2025, 4(1): 1 DOI:10.20517/rdodj.2024.27

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References

[1]

Platzer K.GRIN2B-related neurodevelopmental disorder. Seattle, WA: GeneReviews; 1993.

[2]

Platzer K,Schütz H.GRIN2B encephalopathy: novel findings on phenotype, variant clustering, functional consequences and treatment aspects.J Med Genet2017;54:460-70 PMCID:PMC5656050

[3]

Bell S,Jefri M.Disruption of GRIN2B impairs differentiation in human neurons.Stem Cell Rep2018;11:183-96 PMCID:PMC6067152

[4]

den Hollander B,Geertjens L.Effectiveness of L-serine supplementation in children with a GRIN2B loss-of-function mutation: rationale and protocol for single patient (n-of-1) multiple cross-over trials.Contemp Clin Trials Commun2023;36:101233 PMCID:PMC10746402

[5]

Santos-Gómez A,García-Recio A.Disease-associated GRIN protein truncating variants trigger NMDA receptor loss-of-function.Hum Mol Genet2021;29:3859-71

[6]

Burnashev N.NMDA receptor subunit mutations in neurodevelopmental disorders.Curr Opin Pharmacol2015;20:73-82

[7]

Bozzi Y,Casarosa S.Neurobiological bases of autism-epilepsy comorbidity: a focus on excitation/inhibition imbalance.Eur J Neurosci2018;47:534-48

[8]

Foss-Feig JH,Ji JL.Searching for cross-diagnostic convergence: neural mechanisms governing excitation and inhibition balance in schizophrenia and autism spectrum disorders.Biol Psychiatry2017;81:848-61 PMCID:PMC5436134

[9]

Nelson SB.Excitatory/inhibitory balance and circuit homeostasis in autism spectrum disorders.Neuron2015;87:684-98 PMCID:PMC4567857

[10]

Selten M,Nadif Kasri N.Inhibitory control of the excitatory/inhibitory balance in psychiatric disorders.F1000Res2018;7:23 PMCID:PMC5760969

[11]

Bruining H,Juarez-Martinez EL.Measurement of excitation-inhibition ratio in autism spectrum disorder using critical brain dynamics.Sci Rep2020;10:9195 PMCID:PMC7280527

[12]

Hardstone R,Schiavone G.Detrended fluctuation analysis: a scale-free view on neuronal oscillations.Front Physiol2012;3:450 PMCID:PMC3510427

[13]

Poil SS,Linkenkaer-Hansen K.Avalanche dynamics of human brain oscillations: relation to critical branching processes and temporal correlations.Hum Brain Mapp2008;29:770-7 PMCID:PMC6871218

[14]

Avramiea AE,Lueckmann JM,Mansvelder HD.Pre-stimulus phase and amplitude regulation of phase-locked responses are maximized in the critical state.Elife2020;9:e53016 PMCID:PMC7217696

[15]

Avramiea AE,Mansvelder HD.Long-range amplitude coupling is optimized for brain networks that function at criticality.J Neurosci2022;42:2221-33 PMCID:PMC8936577

[16]

Poil SS,Mansvelder HD.Critical-state dynamics of avalanches and oscillations jointly emerge from balanced excitation/inhibition in neuronal networks.J Neurosci2012;32:9817-23 PMCID:PMC3553543

[17]

Juarez-Martinez EL,Cristian G.Prediction of behavioral improvement through resting-state electroencephalography and clinical severity in a randomized controlled trial testing bumetanide in autism spectrum disorder.Biol Psychiatry Cogn Neurosci Neuroimaging2023;8:251-61

[18]

Juarez-Martinez EL,Sprengers JJ.Bumetanide effects on resting-state EEG in tuberous sclerosis complex in relation to clinical outcome: an open-label study.Front Neurosci2022;16:879451 PMCID:PMC9134117

[19]

Houtman SJ,van Berkel AA.STXBP1 syndrome is characterized by inhibition-dominated dynamics of resting-state EEG.Front Physiol2021;12:775172 PMCID:PMC8733612

[20]

den Hollander B,Rothuizen-Lindenschot M.Evidence for effect of l-serine, a novel therapy for GRIN2B-related neurodevelopmental disorder.Mol Genet Metab2023;138:107523

[21]

Gramfort A,Larson E.MEG and EEG data analysis with MNE-Python.Front Neurosci2013;7:267 PMCID:PMC3872725

[22]

Weiler R,Juarez-Martinez EL,Bloem P.Robin's viewer: using deep-learning predictions to assist EEG annotation.Front Neuroinform2022;16:1025847 PMCID:PMC9951202

[23]

Diachenko M,Smit DJA.Functional excitation-inhibition ratio indicates near-critical oscillations across frequencies.Imaging Neurosci2024;2:1-17

[24]

Fischl B.FreeSurfer.Neuroimage2012;62:774-81

[25]

Hämäläinen MS.Interpreting magnetic fields of the brain: minimum norm estimates.Med Biol Eng Comput1994;32:35-42

[26]

Matsuura K.Selective minimum-norm solution of the biomagnetic inverse problem.IEEE Trans Biomed Eng1995;42:608-15

[27]

Desikan RS,Fischl B.An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.Neuroimage2006;31:968-80

[28]

Li Q,Konvalinka I.Intellectually able adults with autism spectrum disorder show typical resting-state EEG activity.Sci Rep2022;12:19016 PMCID:PMC9643446

[29]

Knyazev GG.EEG delta oscillations as a correlate of basic homeostatic and motivational processes.Neurosci Biobehav Rev2012;36:677-95

[30]

Feinberg I.Sleep EEG changes during adolescence: an index of a fundamental brain reorganization.Brain Cogn2010;72:56-65

[31]

Smit DJ,Schnack HG.The brain matures with stronger functional connectivity and decreased randomness of its network.PLoS One2012;7:e36896 PMCID:PMC3352942

[32]

Hipp JF,Keute M,Bird LM.Electrophysiological abnormalities in angelman syndrome correlate with symptom severity.Biol Psychiatry Glob Open Sci2021;1:201-9 PMCID:PMC8622755

[33]

Wang J,Ethridge LE,Takarae Y.Resting state EEG abnormalities in autism spectrum disorders.J Neurodev Disord2013;5:24 PMCID:PMC3847481

[34]

Hobson JA.The cognitive neuroscience of sleep: neuronal systems, consciousness and learning.Nat Rev Neurosci2002;3:679-93

[35]

Frohlich J,Monti MM.Consciousness among delta waves: a paradox?.Brain2021;144:2257-77

[36]

Zhang Y,Lisman JE.Inhibition of NMDARs in the nucleus reticularis of the thalamus produces delta frequency bursting.Front Neural Circuits2009;3:20 PMCID:PMC2802545

[37]

Zhang Y,Katz DB.NMDAR antagonist action in thalamus imposes delta oscillations on the hippocampus.J Neurophysiol2012;107:3181-9 PMCID:PMC3378362

[38]

Hunt MJ.A systematic review of the effects of NMDA receptor antagonists on oscillatory activity recorded in vivo.J Psychopharmacol2013;27:972-86

[39]

Buzsáki G.Neuronal oscillations in cortical networks.Science2004;304:1926-9

[40]

Herrmann CS,Helfrich RF.EEG oscillations: from correlation to causality.Int J Psychophysiol2016;103:12-21

[41]

Lundqvist M,Nordmark J,Herman P.Beta: bursts of cognition.Trends Cogn Sci2024;28:662-76

[42]

Fell J,Lehnertz K.Human memory formation is accompanied by rhinal-hippocampal coupling and decoupling.Nat Neurosci2001;4:1259-64

[43]

Doesburg SM,McDonald JJ.Rhythms of consciousness: binocular rivalry reveals large-scale oscillatory network dynamics mediating visual perception.PLoS One2009;4:e6142 PMCID:PMC2702101

[44]

Linkenkaer-Hansen K,Rytsälä H,Isometsä E.Breakdown of long-range temporal correlations in theta oscillations in patients with major depressive disorder.J Neurosci2005;25:10131-7 PMCID:PMC6725784

[45]

Linkenkaer-Hansen K,Barkil A.Genetic contributions to long-range temporal correlations in ongoing oscillations.J Neurosci2007;27:13882-9 PMCID:PMC6673639

[46]

Montez T,Jones BF.Altered temporal correlations in parietal alpha and prefrontal theta oscillations in early-stage Alzheimer disease.Proc Natl Acad Sci USA2009;106:1614-9 PMCID:PMC2635782

[47]

Nikulin VV,Brismar T.Attenuation of long-range temporal correlations in the amplitude dynamics of alpha and beta neuronal oscillations in patients with schizophrenia.Neuroimage2012;61:162-9

[48]

Hou D,Chen Y,Du J.Long-range temporal correlations of broadband EEG oscillations for depressed subjects following different hemispheric cerebral infarction.Cogn Neurodyn2017;11:529-38 PMCID:PMC5670089

[49]

Tan E,Morales S.Theta activity and cognitive functioning: Integrating evidence from resting-state and task-related developmental electroencephalography (EEG) research.Dev Cogn Neurosci2024;67:101404 PMCID:PMC11214181

[50]

Namkung H,Sawa A.The insula: an underestimated brain area in clinical neuroscience, psychiatry, and neurology.Trends Neurosci2017;40:200-7

[51]

Das A,Mathura R.Spontaneous neuronal oscillations in the human insula are hierarchically organized traveling waves.Elife2022;11:e76702 PMCID:PMC9200407

[52]

Gasser T,Steinberg H.Test-retest reliability of spectral parameters of the EEG.Electroencephalogr Clin Neurophysiol1985;60:312-9

[53]

Salinsky MC,Morehead L.Test-retest reliability in EEG frequency analysis.Electroencephalogr Clin Neurophysiol1991;79:382-92

[54]

Céspedes-Villar Y,Castellanos-Dominguez G.Influence of patient-specific head modeling on EEG source imaging.Comput Math Methods Med2020;2020:5076865 PMCID:PMC7157795

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