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Clements CC, Engelstad AM, Wilkinson CL, Hyde C, Hartney M, Simmons A, Tager-Flusberg H, Jeste S, Nelson CA. Resting state EEG in young children with Tuberous Sclerosis Complex. RESEARCH SQUARE 2024:rs.3.rs-4543112. [PMID: 38978564 PMCID: PMC11230505 DOI: 10.21203/rs.3.rs-4543112/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Background Tuberous Sclerosis Complex (TSC) manifests behaviorally with features of autism, epilepsy, and intellectual disability. Resting state electroencephalography (EEG) offers a window into neural oscillatory activity and may serve as an intermediate biomarker between gene expression and behavioral manifestations. Such a biomarker could be useful in clinical trials as an endpoint or predictor of treatment response. However, seizures and antiepileptic medications also affect resting neural oscillatory activity and could undermine the utility of resting state EEG features as biomarkers in neurodevelopmental disorders such as TSC. Methods This paper compares resting state EEG features in a cross-sectional cohort of young children with TSC (n=49, ages 12-37 months) to 49 age- and sex-matched typically developing controls. Within children with TSC, associations were examined between resting state EEG features, seizure severity composite score, and use of GABA agonists. Results Compared to matched typically developing controls, children with TSC showed significantly greater alpha and beta power in permutation cluster analyses iterated across a broad frequency range (2-50Hz). Children with TSC also showed significantly greater aperiodic offset after power spectra were parameterized using SpecParam into aperiodic and periodic components. Within children with TSC, greater seizure severity was significantly related to increased periodic peak beta power. Use of GABA agonists was also independently and significantly associated with increased periodic peak beta power; the interaction between seizure severity and GABA agonist use had no significant effect on peak beta power. Conclusions The elevated peak beta power observed in children with TSC compared to matched typically developing controls may be driven by both seizures and GABA agonist use. It is recommended to collect seizure and mediation data alongside EEG data for clinical trials. These results highlight the challenge of using resting state EEG features as biomarkers in trials with neurodevelopmental disabilities when epilepsy and anti-epileptic medication are common.
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Chung H, Wilkinson CL, Job Said A, Tager-Flusberg H, Nelson CA. Evaluating early EEG correlates of restricted and repetitive behaviors for toddlers with or without autism. RESEARCH SQUARE 2024:rs.3.rs-3871138. [PMID: 38313269 PMCID: PMC10836096 DOI: 10.21203/rs.3.rs-3871138/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
Background Restricted and repetitive behaviors (RRB) are among the primary characteristics of autism spectrum disorder (ASD). Despite the potential impact on later developmental outcomes, our understanding of the neural underpinnings of RRBs is limited. Alterations in EEG alpha activity have been observed in ASD and implicated in RRBs, however, developmental changes within the alpha band requires careful methodological considerations when studying its role in brain-behavior relationships during infancy and early childhood. Novel approaches now enable the parameterization of the power spectrum into periodic and aperiodic components. This study aimed to characterize the neural correlates of RRBs in infancy by (1) comparing infant resting-state measures (periodic alpha and aperiodic activity) between infants who develop ASD, elevated likelihood infants without ASD, and low likelihood infants without ASD, and (2) evaluate whether these infant EEG measures are associated with frequency of RRBs measured at 24 months. Methods Baseline non-task related EEG data were collected from 12-to-14-month-old infants with and without elevated likelihood of autism (N=160), and periodic alpha activity (periodic alpha power, individual peak alpha frequency and amplitude), and aperiodic activity measures (aperiodic exponent) were calculated. Parent-reported RRBs were obtained at 24 months using the Repetitive Behavior Scale-Revised questionnaire. Group differences in EEG measures were evaluated using ANCOVA, and multiple linear regressions were conducted to assess relationships between EEG and RRB measures. Results No group-level differences in infant EEG measures were observed. Marginal effects analysis of linear regressions revealed significant associations within the ASD group, such that higher periodic alpha power, lower peak alpha frequency, and lower aperiodic exponent, were associated with elevated RRBs at 24 months. No significant associations were observed for non-ASD outcome groups. Limitations The sample size for ASD (N=19) was modest for examining brain-behavior relations. Larger sample sizes are needed to increase statistical power. Conclusion For infants with later ASD diagnoses, measures of alpha and aperiodic activity measured at 1-year of age were associated with later manifestation of RRBs at 2-years. Longitudinal studies are needed to elucidate whether the early trajectory of these EEG measures and their dynamic relations in development influence manifestations of RRBs in ASD.
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Shaffer RC, Reisinger DL, Schmitt LM, Lamy M, Dominick KC, Smith EG, Coffman MC, Esbensen AJ. Systematic Review: Emotion Dysregulation in Syndromic Causes of Intellectual and Developmental Disabilities. J Am Acad Child Adolesc Psychiatry 2023; 62:518-557. [PMID: 36007813 DOI: 10.1016/j.jaac.2022.06.020] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 06/03/2022] [Accepted: 08/15/2022] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To summarize the current state of the literature regarding emotion dysregulation (ED) in syndromic intellectual disabilities (S-IDs) in 6 of the most common forms of S-IDs-Down syndrome, fragile X syndrome (FXS), tuberous sclerosis complex, Williams syndrome, Prader-Willi syndrome, and Angelman syndrome-and to determine future research directions for identification and treatment of ED. METHOD PubMed bibliographic database was searched from date of inception to May 2021. PRISMA 2020 guidelines were followed with the flowchart, table of included studies, list of excluded studies, and checklist provided. Filters applied included human research and English. Only original research articles were included in the final set, but review articles were used to identify secondary citations of primary studies. All articles were reviewed for appropriateness by 2 authors and summarized. Inclusion criteria were met by 145 articles (Down syndrome = 29, FXS = 55, tuberous sclerosis complex = 11, Williams syndrome = 18, Prader-Willi syndrome = 24, Angelman syndrome = 8). RESULTS Each syndrome review was summarized separately and further subdivided into articles related to underlying neurobiology, behaviors associated with ED, assessment, and targeted intervention. FXS had the most thorough research base, followed by Down syndrome and Prader-Willi syndrome, with the other syndromes having more limited available research. Very limited research was available regarding intervention for all disorders except FXS. CONCLUSION Core underlying characteristics of S-IDs appear to place youth at higher risk for ED, but further research is needed to better assess and treat ED in S-IDs. Future studies should have a standard assessment measure of ED, such as the Emotion Dysregulation Inventory, and explore adapting established curricula for ED from the neurotypical and autism spectrum disorder fields.
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Affiliation(s)
- Rebecca C Shaffer
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; University of Cincinnati School of Medicine, Cincinnati, Ohio.
| | | | - Lauren M Schmitt
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; University of Cincinnati School of Medicine, Cincinnati, Ohio
| | - Martine Lamy
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; University of Cincinnati School of Medicine, Cincinnati, Ohio
| | - Kelli C Dominick
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; University of Cincinnati School of Medicine, Cincinnati, Ohio
| | - Elizabeth G Smith
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; University of Cincinnati School of Medicine, Cincinnati, Ohio
| | | | - Anna J Esbensen
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; University of Cincinnati School of Medicine, Cincinnati, Ohio
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Pedapati EV, Sweeney JA, Schmitt LM, Ethridge LE, Miyakoshi M, Liu R, Smith E, Shaffer RC, Wu SW, Gilbert DL, Horn PS, Erickson C. Empirical Frequency Bound Derivation Reveals Prominent Mid-Frontal Alpha Associated with Neurosensory Dysfunction in Fragile X Syndrome. RESEARCH SQUARE 2023:rs.3.rs-2855646. [PMID: 37162907 PMCID: PMC10168472 DOI: 10.21203/rs.3.rs-2855646/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
The FMR1 gene is inactive in Fragile X syndrome (FXS), resulting in low levels of FMRP and consequent neurochemical, synaptic, and local circuit neurophysiological alterations in the fmr1 KO mouse. In FXS patients, electrophysiological studies have demonstrated a marked reduction in global alpha activity and regional increases in gamma oscillations associated with intellectual disability and sensory hypersensitivity. Since alpha activity is associated with a thalamocortical function with widely distributed modulatory effects on neocortical excitability, insight into alpha physiology may provide insight into systems-level disease mechanisms. Herein, we took a data-driven approach to clarify the temporal and spatial properties of alpha and theta activity in participants with FXS. High-resolution resting-state EEG data were collected from participants affected by FXS (n = 65) and matched controls (n = 70). We used a multivariate technique to empirically classify neural oscillatory bands based on their coherent spatiotemporal patterns. Participants with FXS demonstrated: 1) redistribution of lower-frequency boundaries indicating a "slower" dominant alpha rhythm, 2) an anteriorization of alpha frequency activity, and 3) a correlation of increased individualized alpha power measurements with auditory neurosensory dysfunction. These findings suggest an important role for alterations in thalamocortical physiology for the well-established neocortical hyper-excitability in FXS and, thus, a role for neural systems level disruption to cortical hyperexcitability that has been studied primarily at the local circuit level in animal models.
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Affiliation(s)
| | | | | | | | | | - Rui Liu
- Cincinnati Children's Hospital Medical Center
| | | | | | - Steve W Wu
- Cincinnati Children's Hospital Medical Center
| | | | - Paul S Horn
- Cincinnati Children's Hospital Medical Center
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Kang J, Fan X, Zhong Y, Casanova MF, Sokhadze EM, Li X, Niu Z, Geng X. Transcranial Direct Current Stimulation Modulates EEG Microstates in Low-Functioning Autism: A Pilot Study. BIOENGINEERING (BASEL, SWITZERLAND) 2023; 10:bioengineering10010098. [PMID: 36671670 PMCID: PMC9855011 DOI: 10.3390/bioengineering10010098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Revised: 12/28/2022] [Accepted: 01/08/2023] [Indexed: 01/13/2023]
Abstract
Autism spectrum disorder (ASD) is a heterogeneous disorder that affects several behavioral domains of neurodevelopment. Transcranial direct current stimulation (tDCS) is a new method that modulates motor and cognitive function and may have potential applications in ASD treatment. To identify its potential effects on ASD, differences in electroencephalogram (EEG) microstates were compared between children with typical development (n = 26) and those with ASD (n = 26). Furthermore, children with ASD were divided into a tDCS (experimental) and sham stimulation (control) group, and EEG microstates and Autism Behavior Checklist (ABC) scores before and after tDCS were compared. Microstates A, B, and D differed significantly between children with TD and those with ASD. In the experimental group, the scores of microstates A and C and ABC before tDCS differed from those after tDCS. Conversely, in the control group, neither the EEG microstates nor the ABC scores before the treatment period (sham stimulation) differed from those after the treatment period. This study indicates that tDCS may become a viable treatment for ASD.
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Affiliation(s)
- Jiannan Kang
- College of Electronic & Information Engineering, Hebei University, Baoding 071000, China
| | - Xiwang Fan
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai 200124, China
| | - Yiwen Zhong
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai 200124, China
| | - Manuel F. Casanova
- Department of Biomedical Sciences, University of South Carolina School of Medicine Greenville Campus, Greenville Health System, Greenville, SC 29605, USA
| | - Estate M. Sokhadze
- Department of Biomedical Sciences, University of South Carolina School of Medicine Greenville Campus, Greenville Health System, Greenville, SC 29605, USA
| | - Xiaoli Li
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100859, China
| | - Zikang Niu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100859, China
- Correspondence: (Z.N.); (X.G.)
| | - Xinling Geng
- School of Biomedical Engineering, Capital Medical University, Beijing 100069, China
- Correspondence: (Z.N.); (X.G.)
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Goad BS, Lee-Messer C, He Z, Porter BE, Baumer FM. Connectivity increases during spikes and spike-free periods in self-limited epilepsy with centrotemporal spikes. Clin Neurophysiol 2022; 144:123-134. [PMID: 36307364 PMCID: PMC10883644 DOI: 10.1016/j.clinph.2022.09.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 09/01/2022] [Accepted: 09/13/2022] [Indexed: 12/26/2022]
Abstract
OBJECTIVE To understand the impact of interictal spikes on brain connectivity in patients with Self-Limited Epilepsy with Centrotemporal Spikes (SeLECTS). METHODS Electroencephalograms from 56 consecutive SeLECTS patients were segmented into periods with and without spikes. Connectivity between electrodes was calculated using the weighted phase lag index. To determine if there are chronic alterations in connectivity in SeLECTS, we compared spike-free connectivity to connectivity in 65 matched controls. To understand the acute impact of spikes, we compared connectivity immediately before, during, and after spikes versus baseline, spike-free connectivity. We explored whether behavioral state, spike laterality, or antiseizure medications affected connectivity. RESULTS Children with SeLECTS had markedly higher connectivity than controls during sleep but not wakefulness, with greatest difference in the right hemisphere. During spikes, connectivity increased globally; before and after spikes, left frontal and bicentral connectivity increased. Right hemisphere connectivity increased more during right-sided than left-sided spikes; left hemisphere connectivity was equally affected by right and left spikes. CONCLUSIONS SeLECTS patient have persistent increased connectivity during sleep; connectivity is further elevated during the spike and perispike periods. SIGNIFICANCE Testing whether increased connectivity impacts cognition or seizure susceptibility in SeLECTS and more severe epilepsies could help determine if spikes should be treated.
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Affiliation(s)
- Beatrice S Goad
- Department of Neurology, Stanford University School of Medicine, Palo Alto, CA, USA.
| | | | - Zihuai He
- Department of Neurology, Stanford University School of Medicine, Palo Alto, CA, USA.
| | - Brenda E Porter
- Department of Neurology, Stanford University School of Medicine, Palo Alto, CA, USA.
| | - Fiona M Baumer
- Department of Neurology, Stanford University School of Medicine, Palo Alto, CA, USA.
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Freschl J, Azizi LA, Balboa L, Kaldy Z, Blaser E. The development of peak alpha frequency from infancy to adolescence and its role in visual temporal processing: A meta-analysis. Dev Cogn Neurosci 2022; 57:101146. [PMID: 35973361 PMCID: PMC9399966 DOI: 10.1016/j.dcn.2022.101146] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 07/21/2022] [Accepted: 08/08/2022] [Indexed: 01/19/2023] Open
Abstract
While it has been shown that alpha frequency increases over development (Stroganova et al., 1999), a precise trajectory has not yet been specified, making it challenging to constrain theories linking alpha rhythms to perceptual development. We conducted a comprehensive review of studies measuring resting-state occipital peak alpha frequency (PAF, the frequency exhibiting maximum power) from birth to 18 years of age. From 889 potentially relevant studies, we identified 40 reporting PAF (109 samples; 3882 subjects). A nonlinear regression revealed that PAF increases quickly in early childhood (from 6.1 Hz at 6 months to 8.4 Hz at 5 years) and levels off in adolescence (9.7 Hz at 13 years), with an asymptote at 10.1 Hz. We found no effect of resting state procedure (eyes-open versus eyes-closed) or biological sex. PAF has been implicated as a clock on visual temporal processing, with faster frequencies associated with higher visual temporal resolution. Psychophysical studies have shown that temporal resolution reaches adult levels by 5 years of age (Freschl et al., 2019, 2020). The fact that PAF reaches the adult range of 8-12 Hz by that age strengthens the link between PAF and temporal resolution.
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Affiliation(s)
- Julie Freschl
- University of Massachusetts Boston, Boston, MA, USA; Smith-Kettlewell Eye Research Institute, San Francisco, CA, USA.
| | | | | | - Zsuzsa Kaldy
- University of Massachusetts Boston, Boston, MA, USA
| | - Erik Blaser
- University of Massachusetts Boston, Boston, MA, USA
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Vanes LD, Tye C, Tournier JD, Combes AJE, Shephard E, Liang H, Barker GJ, Nosarti C, Bolton P. White matter disruptions related to inattention and autism spectrum symptoms in tuberous sclerosis complex. Neuroimage Clin 2022; 36:103163. [PMID: 36037661 PMCID: PMC9434133 DOI: 10.1016/j.nicl.2022.103163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 07/08/2022] [Accepted: 08/22/2022] [Indexed: 12/14/2022]
Abstract
Tuberous sclerosis complex is a rare genetic multisystem condition that is associated with a high prevalence of neurodevelopmental disorders such as autism and attention-deficit/hyperactivity disorder. The underlying neural mechanisms of the emergence of these symptom domains in tuberous sclerosis complex remain unclear. Here, we use fixel-based analysis of diffusion-weighted imaging, which allows for the differentiation between multiple fibre populations within a voxel, to compare white matter properties in 16 participants with tuberous sclerosis complex (aged 11-19) and 12 age and sex matched control participants. We further tested associations between white matter alterations and autism and inattention symptoms as well as cognitive ability in participants with tuberous sclerosis complex. Compared to controls, participants with tuberous sclerosis complex showed reduced fibre density cross-section (FDC) in the dorsal branch of right superior longitudinal fasciculus and bilateral inferior longitudinal fasciculus, reduced fibre density (FD) in bilateral tapetum, and reduced fibre cross-section (FC) in the ventral branch of right superior longitudinal fasciculus. In participants with tuberous sclerosis complex, the extent of FDC reductions in right superior longitudinal fasciculus was significantly associated with autism traits (social communication difficulties and restricted, repetitive behaviours), whereas FDC reductions in right inferior longitudinal fasciculus were associated with inattention. The observed white matter alterations were unrelated to cognitive ability. Our findings shed light on the fibre-specific biophysical properties of white matter alterations in tuberous sclerosis complex and suggest that these regional changes are selectively associated with the severity of neurodevelopmental symptoms.
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Affiliation(s)
- Lucy D Vanes
- Department of Neuroimaging, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, UK; Department of Perinatal Imaging and Health, School of Biomedical Engineering & Imaging Sciences, King's College London, UK.
| | - Charlotte Tye
- Department of Psychology, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, UK
| | - Jacques-Donald Tournier
- Department of Perinatal Imaging and Health, School of Biomedical Engineering & Imaging Sciences, King's College London, UK; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, UK
| | - Anna J E Combes
- Department of Neuroimaging, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, UK; Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, UK
| | - Elizabeth Shephard
- Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, UK; Department of Psychiatry, Faculdade de Medicina, Universidade de São Paulo, Brazil
| | - Holan Liang
- Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, UK
| | - Gareth J Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, UK
| | - Chiara Nosarti
- Department of Perinatal Imaging and Health, School of Biomedical Engineering & Imaging Sciences, King's College London, UK; Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, UK
| | - Patrick Bolton
- Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, UK
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Juarez-Martinez EL, van Andel DM, Sprengers JJ, Avramiea AE, Oranje B, Scheepers FE, Jansen FE, Mansvelder HD, Linkenkaer-Hansen K, Bruining H. Bumetanide Effects on Resting-State EEG in Tuberous Sclerosis Complex in Relation to Clinical Outcome: An Open-Label Study. Front Neurosci 2022; 16:879451. [PMID: 35645706 PMCID: PMC9134117 DOI: 10.3389/fnins.2022.879451] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Accepted: 04/15/2022] [Indexed: 12/05/2022] Open
Abstract
Neuronal excitation-inhibition (E/I) imbalances are considered an important pathophysiological mechanism in neurodevelopmental disorders. Preclinical studies on tuberous sclerosis complex (TSC), suggest that altered chloride homeostasis may impair GABAergic inhibition and thereby E/I-balance regulation. Correction of chloride homeostasis may thus constitute a treatment target to alleviate behavioral symptoms. Recently, we showed that bumetanide-a chloride-regulating agent-improved behavioral symptoms in the open-label study Bumetanide to Ameliorate Tuberous Sclerosis Complex Hyperexcitable Behaviors trial (BATSCH trial; Eudra-CT: 2016-002408-13). Here, we present resting-state EEG as secondary analysis of BATSCH to investigate associations between EEG measures sensitive to network-level changes in E/I balance and clinical response to bumetanide. EEGs of 10 participants with TSC (aged 8-21 years) were available. Spectral power, long-range temporal correlations (LRTC), and functional E/I ratio (fE/I) in the alpha-frequency band were compared before and after 91 days of treatment. Pre-treatment measures were compared against 29 typically developing children (TDC). EEG measures were correlated with the Aberrant Behavioral Checklist-Irritability subscale (ABC-I), the Social Responsiveness Scale-2 (SRS-2), and the Repetitive Behavior Scale-Revised (RBS-R). At baseline, TSC showed lower alpha-band absolute power and fE/I than TDC. Absolute power increased through bumetanide treatment, which showed a moderate, albeit non-significant, correlation with improvement in RBS-R. Interestingly, correlations between baseline EEG measures and clinical outcomes suggest that most responsiveness might be expected in children with network characteristics around the E/I balance point. In sum, E/I imbalances pointing toward an inhibition-dominated network are present in TSC. We established neurophysiological effects of bumetanide although with an inconclusive relationship with clinical improvement. Nonetheless, our results further indicate that baseline network characteristics might influence treatment response. These findings highlight the possible utility of E/I-sensitive EEG measures to accompany new treatment interventions for TSC. Clinical Trial Registration EU Clinical Trial Register, EudraCT 2016-002408-13 (www.clinicaltrialsregister.eu/ctr-search/trial/2016-002408-13/NL). Registered 25 July 2016.
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Affiliation(s)
- Erika L. Juarez-Martinez
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, Netherlands
- Child and Adolescent Psychiatry and Psychosocial Care, Emma Children’s Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Dorinde M. van Andel
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Jan J. Sprengers
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Arthur-Ervin Avramiea
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, Netherlands
| | - Bob Oranje
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Floortje E. Scheepers
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Floor E. Jansen
- Department of Pediatric Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Huibert D. Mansvelder
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, Netherlands
| | - Klaus Linkenkaer-Hansen
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, Netherlands
| | - Hilgo Bruining
- Child and Adolescent Psychiatry and Psychosocial Care, Emma Children’s Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, Netherlands
- N=You Neurodevelopmental Precision Center, Amsterdam Neuroscience, Amsterdam Reproduction and Development, Amsterdam UMC, Amsterdam, Netherlands
- Levvel, Academic Center for Child and Adolescent Psychiatry, Amsterdam, Netherlands
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10
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Shuffrey LC, Pini N, Potter M, Springer P, Lucchini M, Rayport Y, Sania A, Firestein M, Brink L, Isler JR, Odendaal H, Fifer WP. Aperiodic electrophysiological activity in preterm infants is linked to subsequent autism risk. Dev Psychobiol 2022; 64:e22271. [PMID: 35452546 PMCID: PMC9169229 DOI: 10.1002/dev.22271] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 01/31/2022] [Accepted: 03/04/2022] [Indexed: 12/31/2022]
Abstract
Approximately 7% of preterm infants receive an autism spectrum disorder (ASD) diagnosis. Yet, there is a significant gap in the literature in identifying prospective markers of neurodevelopmental risk in preterm infants. The present study examined two electroencephalography (EEG) parameters during infancy, absolute EEG power and aperiodic activity of the power spectral density (PSD) slope, in association with subsequent autism risk and cognitive ability in a diverse cohort of children born preterm in South Africa. Participants were 71 preterm infants born between 25 and 36 weeks gestation (34.60 ± 2.34 weeks). EEG was collected during sleep between 39 and 41 weeks postmenstrual age adjusted (40.00 ± 0.42 weeks). The Bayley Scales of Infant Development and Brief Infant Toddler Social Emotional Assessment (BITSEA) were administered at approximately 3 years of age adjusted (34 ± 2.7 months). Aperiodic activity, but not the rhythmic oscillatory activity, at multiple electrode sites was associated with subsequent increased autism risk on the BITSEA at three years of age. No associations were found between the PSD slope or absolute EEG power and cognitive development. Our findings highlight the need to examine potential markers of subsequent autism risk in high-risk populations other than infants at familial risk.
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Affiliation(s)
- Lauren C Shuffrey
- Department of Psychiatry, Columbia University Irving Medical Center, New York, New York, USA.,Division of Developmental Neuroscience, New York State Psychiatric Institute, New York, New York, USA
| | - Nicolò Pini
- Department of Psychiatry, Columbia University Irving Medical Center, New York, New York, USA.,Division of Developmental Neuroscience, New York State Psychiatric Institute, New York, New York, USA
| | - Mandy Potter
- Department of Obstetrics and Gynaecology, Stellenbosch University, Tygerberg, Western Cape, South Africa
| | - Priscilla Springer
- Paediatrics and Child Health, Stellenbosch University, Tygerberg, Western Cape, South Africa
| | - Maristella Lucchini
- Department of Psychiatry, Columbia University Irving Medical Center, New York, New York, USA.,Division of Developmental Neuroscience, New York State Psychiatric Institute, New York, New York, USA
| | - Yael Rayport
- Department of Psychiatry, Columbia University Irving Medical Center, New York, New York, USA
| | - Ayesha Sania
- Department of Psychiatry, Columbia University Irving Medical Center, New York, New York, USA.,Division of Developmental Neuroscience, New York State Psychiatric Institute, New York, New York, USA
| | - Morgan Firestein
- Department of Psychiatry, Columbia University Irving Medical Center, New York, New York, USA.,Division of Developmental Neuroscience, New York State Psychiatric Institute, New York, New York, USA
| | - Lucy Brink
- Department of Obstetrics and Gynaecology, Stellenbosch University, Tygerberg, Western Cape, South Africa
| | - Joseph R Isler
- Department of Pediatrics, Columbia University Irving Medical Center, New York, New York, USA
| | - Hein Odendaal
- Department of Obstetrics and Gynaecology, Stellenbosch University, Tygerberg, Western Cape, South Africa
| | - William P Fifer
- Department of Psychiatry, Columbia University Irving Medical Center, New York, New York, USA.,Division of Developmental Neuroscience, New York State Psychiatric Institute, New York, New York, USA.,Department of Pediatrics, Columbia University Irving Medical Center, New York, New York, USA
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11
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Electrophysiological and Behavioral Evidence for Hyper- and Hyposensitivity in Rare Genetic Syndromes Associated with Autism. Genes (Basel) 2022; 13:genes13040671. [PMID: 35456477 PMCID: PMC9027402 DOI: 10.3390/genes13040671] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 03/29/2022] [Accepted: 04/05/2022] [Indexed: 01/27/2023] Open
Abstract
Our study reviewed abnormalities in spontaneous, as well as event-related, brain activity in syndromes with a known genetic underpinning that are associated with autistic symptomatology. Based on behavioral and neurophysiological evidence, we tentatively subdivided the syndromes on primarily hyper-sensitive (Fragile X, Angelman) and hypo-sensitive (Phelan–McDermid, Rett, Tuberous Sclerosis, Neurofibromatosis 1), pointing to the way of segregation of heterogeneous idiopathic ASD, that includes both hyper-sensitive and hypo-sensitive individuals. This segmentation links abnormalities in different genes, such as FMR1, UBE3A, GABRB3, GABRA5, GABRG3, SHANK3, MECP2, TSC1, TSC2, and NF1, that are causative to the above-mentioned syndromes and associated with synaptic transmission and cell growth, as well as with translational and transcriptional regulation and with sensory sensitivity. Excitation/inhibition imbalance related to GABAergic signaling, and the interplay of tonic and phasic inhibition in different brain regions might underlie this relationship. However, more research is needed. As most genetic syndromes are very rare, future investigations in this field will benefit from multi-site collaboration with a common protocol for electrophysiological and event-related potential (EEG/ERP) research that should include an investigation into all modalities and stages of sensory processing, as well as potential biomarkers of GABAergic signaling (such as 40-Hz ASSR).
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12
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Buller-Peralta I, Maicas-Royo J, Lu Z, Till SM, Wood ER, Kind PC, Escudero J, Gonzalez-Sulser A. Abnormal brain state distribution and network connectivity in a SYNGAP1 rat model. Brain Commun 2022; 4:fcac263. [PMID: 36349120 PMCID: PMC9638780 DOI: 10.1093/braincomms/fcac263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 07/09/2022] [Accepted: 10/13/2022] [Indexed: 11/09/2022] Open
Abstract
Mutations in the SYNGAP1 gene are one of the common predictors of neurodevelopmental disorders, commonly resulting in individuals developing autism, intellectual disability, epilepsy, and sleep deficits. EEG recordings in neurodevelopmental disorders show potential to identify clinically translatable biomarkers to both diagnose and track the progress of novel therapeutic strategies, as well as providing insight into underlying pathological mechanisms. In a rat model of SYNGAP1 haploinsufficiency in which the exons encoding the calcium/lipid binding and GTPase-activating protein domains have been deleted (Syngap+/Δ-GAP ), we analysed the duration and occurrence of wake, non-rapid eye movement and rapid eye movement brain states during 6 h multi-electrode EEG recordings. We find that although Syngap+/Δ-GAP animals spend an equivalent percent time in wake and sleep states, they have an abnormal brain state distribution as the number of wake and non-rapid eye movement bouts are reduced and there is an increase in the average duration of both wake and non-rapid eye movement epochs. We perform connectivity analysis by calculating the average imaginary coherence between electrode pairs at varying distance thresholds during these states. In group averages from pairs of electrodes at short distances from each other, a clear reduction in connectivity during non-rapid eye movement is present between 11.5 Hz and 29.5 Hz, a frequency range that overlaps with sleep spindles, oscillatory phenomena thought to be important for normal brain function and memory consolidation. Sleep abnormalities were mostly uncorrelated to the electrophysiological signature of absence seizures, spike and wave discharges, as was the imaginary coherence deficit. Sleep spindles occurrence, amplitude, power and spread across multiple electrodes were not reduced in Syngap+/Δ-GAP rats, with only a small decrease in duration detected. Nonetheless, by analysing the dynamic imaginary coherence during sleep spindles, we found a reduction in high-connectivity instances between short-distance electrode pairs. Finally comparing the dynamic imaginary coherence during sleep spindles between individual electrode pairs, we identified a group of channels over the right somatosensory, association and visual cortices that have a significant reduction in connectivity during sleep spindles in mutant animals. This matched a significant reduction in connectivity during spindles when averaged regional comparisons were made. These data suggest that Syngap+/Δ-GAP rats have altered brain state dynamics and EEG connectivity, which may have clinical relevance for SYNGAP1 haploinsufficiency in humans.
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Affiliation(s)
- Ingrid Buller-Peralta
- Simons Initiative for the Developing Brain, Patrick Wild Centre, Centre for Discovery Brain Sciences, University of Edinburgh, EH8 9XD Edinburgh, United Kingdom
| | - Jorge Maicas-Royo
- Simons Initiative for the Developing Brain, Patrick Wild Centre, Centre for Discovery Brain Sciences, University of Edinburgh, EH8 9XD Edinburgh, United Kingdom
| | - Zhuoen Lu
- School of Engineering, Institute for Digital Communications, University of Edinburgh, EH9 3JL Edinburgh, United Kingdom
| | - Sally M Till
- Simons Initiative for the Developing Brain, Patrick Wild Centre, Centre for Discovery Brain Sciences, University of Edinburgh, EH8 9XD Edinburgh, United Kingdom
| | - Emma R Wood
- Simons Initiative for the Developing Brain, Patrick Wild Centre, Centre for Discovery Brain Sciences, University of Edinburgh, EH8 9XD Edinburgh, United Kingdom
| | - Peter C Kind
- Simons Initiative for the Developing Brain, Patrick Wild Centre, Centre for Discovery Brain Sciences, University of Edinburgh, EH8 9XD Edinburgh, United Kingdom
| | - Javier Escudero
- School of Engineering, Institute for Digital Communications, University of Edinburgh, EH9 3JL Edinburgh, United Kingdom
| | - Alfredo Gonzalez-Sulser
- Simons Initiative for the Developing Brain, Patrick Wild Centre, Centre for Discovery Brain Sciences, University of Edinburgh, EH8 9XD Edinburgh, United Kingdom
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13
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Shephard E, McEwen FS, Earnest T, Friedrich N, Mörtl I, Liang H, Woodhouse E, Tye C, Bolton PF. Oscillatory neural network alterations in young people with tuberous sclerosis complex and associations with co-occurring symptoms of autism spectrum disorder and attention-deficit/hyperactivity disorder. Cortex 2021; 146:50-65. [PMID: 34839218 DOI: 10.1016/j.cortex.2021.10.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 08/25/2021] [Accepted: 10/20/2021] [Indexed: 12/20/2022]
Abstract
Tuberous sclerosis complex (TSC) is a genetic disorder caused by mutations on the TSC1/TSC2 genes, which result in alterations in molecular signalling pathways involved in neurogenesis and hamartomas in the brain and other organs. TSC carries a high risk for autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD), although the reasons for this are unclear. One proposal is that TSC-related alterations in molecular signalling during neurogenesis lead to atypical development of neural networks, which are involved in the occurrence of ASD and ADHD in TSC. We investigated this proposal in young people with TSC who have been studied longitudinally since their diagnosis in childhood. Electroencephalography (EEG) was used to examine oscillatory connectivity in functional neural networks and local and global network organisation during three tasks (resting-state, attentional and inhibitory control Go/Nogo task, upright and inverted face processing task) in participants with TSC (n = 48) compared to an age- and sex-matched group of typically developing Controls (n = 20). Compared to Controls, the TSC group showed hypoconnected neural networks in the alpha frequency during the resting-state and in the theta and alpha frequencies during the Go/Nogo task (P ≤ .008), as well as reduced local network organisation in the theta and alpha frequencies during the Go/Nogo task (F = 3.95, P = .010). There were no significant group differences in network metrics during the face processing task. Increased connectivity in the hypoconnected alpha-range resting-state network was associated with greater ASD and inattentive ADHD symptoms (rho≥.40, P ≤ .036). Reduced local network organisation in the theta-range during the Go/Nogo task was significantly associated with higher hyperactive/impulsive ADHD symptoms (rho = -.43, P = .041). These findings suggest that TSC is associated with widespread hypoconnectivity in neural networks and support the proposal that altered network function may be involved in the co-occurrence of ASD and ADHD in TSC.
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Affiliation(s)
- Elizabeth Shephard
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, UK; Department of Psychiatry, University of São Paulo, Brazil.
| | - Fiona S McEwen
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, UK; Department of Psychology, Queen Mary University of London, UK
| | - Thomas Earnest
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, UK
| | - Nina Friedrich
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, UK
| | - Isabelle Mörtl
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, UK
| | - Holan Liang
- Population, Policy and Practice Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Emma Woodhouse
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, UK
| | | | - Charlotte Tye
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, UK; Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, UK
| | - Patrick F Bolton
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, UK; The Maudsley NIHR Biomedical Research Centre in Mental Health, King's College London and South London and Maudsley NHS Foundation Trust, London, UK
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14
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Gao S, Zhang X, Du W, Zhou X, Xi Y, Ju R. Systematic review and meta-analysis: the effect of bronchopulmonary dysplasia on neurodevelopment in very low birth weight premature infants. Transl Pediatr 2021; 10:3023-3033. [PMID: 34976768 PMCID: PMC8649609 DOI: 10.21037/tp-21-449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 10/29/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND A meta-analysis was performed to study the effect of steroid intervention on the neurodevelopment of extremely low birth weight preterm infants complicated with bronchopulmonary dysplasia, and to provide a theoretical basis for clinical treatment. METHODS The Wanfang database, Chinese Biomedical Literature database, VIP database, Baidu Academic, CNKI database, The Cochrane Library, Medline, Embase, and PubMed database were searched by computer from establishment to 2021. Randomized controlled trials on the effect of steroids on neurodevelopment in very low birth weight preterm infants with bronchial dysplasia published from January 10, 2007 were retrieved. The included literature was evaluated for bias risk, then analyzed using RevMan 5.3 software. RESULTS A total of 9 studies were included, with a total of 2,453 patients. The funnel plot showed that the circles and the midline of some studies were basically symmetrical, and there was no bias in the publications. The conclusions obtained were relatively reliable. Cerebral palsy, neurodevelopmental indicators, and MRI findings of preterm infants were analyzed. The cognitive impairment of very low birth weight preterm infants complicated with bronchial dysplasia (RR =0.83, 95% CI: 0.72-0.96, P=0.01) in the treatment group was significantly different from that in the control group, while cerebral palsy (RR =0.99, 95% CI: 0.75-1.29, P=0.93), speech impairment (RR =0.75, 95% CI: 0.46-1.21, P=0.24), hearing loss requiring amplification (RR =0.60, 95% CI: 0.35-1.03, P=0.06), bilateral blindness RR =0.81, 95% CI: 0.52-1.24, P=0.32), severe intraventricular hemorrhage (IVH) (RR =0.71, 95% CI: 0.33-1.50, P=0.37), and cystic periventricular leukomalacia (RR =0.82, 95% CI: 0.43-1.57, P=0.56) had no significant differences compared with the control group. DISCUSSION In this meta-analysis, we found that the use of steroids in very low birth weight preterm infants complicated with bronchial dysplasia had significant effects on cognition, but no significant effects on hearing, vision, or language function.
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Affiliation(s)
- Shuqiang Gao
- Department of Neonatology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaolong Zhang
- Department of Neonatology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Weina Du
- Department of Neonatology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaofeng Zhou
- Department of Neonatology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yufeng Xi
- Department of Neonatology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Rong Ju
- Department of Neonatology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
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15
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Bassetti D, Luhmann HJ, Kirischuk S. Effects of Mutations in TSC Genes on Neurodevelopment and Synaptic Transmission. Int J Mol Sci 2021; 22:ijms22147273. [PMID: 34298906 PMCID: PMC8305053 DOI: 10.3390/ijms22147273] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 07/02/2021] [Accepted: 07/04/2021] [Indexed: 12/11/2022] Open
Abstract
Mutations in TSC1 or TSC2 genes are linked to alterations in neuronal function which ultimately lead to the development of a complex neurological phenotype. Here we review current research on the effects that reduction in TSC1 or TSC2 can produce on the developing neural network. A crucial feature of the disease pathophysiology appears to be an early deviation from typical neurodevelopment, in the form of structural abnormalities. Epileptic seizures are one of the primary early manifestation of the disease in the CNS, followed by intellectual deficits and autism spectrum disorders (ASD). Research using mouse models suggests that morphological brain alterations might arise from the interaction of different cellular types, and hyperexcitability in the early postnatal period might be transient. Moreover, the increased excitation-to-inhibition ratio might represent a transient compensatory adjustment to stabilize the developing network rather than a primary factor for the development of ASD symptoms. The inhomogeneous results suggest region-specificity as well as an evolving picture of functional alterations along development. Furthermore, ASD symptoms and epilepsy might originate from different but potentially overlapping mechanisms, which can explain recent observations obtained in patients. Potential treatment is determined not only by the type of medicament, but also by the time point of treatment.
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16
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Smith E, Pedapati E, Liu R, Schmitt L, Dominick K, Shaffer R, Sweeney J, Erickson C. Sex differences in resting EEG power in Fragile X Syndrome. J Psychiatr Res 2021; 138:89-95. [PMID: 33836434 PMCID: PMC8192450 DOI: 10.1016/j.jpsychires.2021.03.057] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 02/10/2021] [Accepted: 03/24/2021] [Indexed: 12/21/2022]
Abstract
Electrophysiological alterations may represent a neural substrate of impaired neurocognitive processes and other phenotypic features in Fragile X Syndrome (FXS). However, the role of biological sex in electroencephalography (EEG) patterns that differentiate FXS from typical development has not been determined. This limits use of EEG in both the search for biomarkers of impairment in FXS as well as application of those markers to enhance our understanding of underlying neural mechanisms to speed treatment discovery. We investigated topographical relative EEG power in participants at rest in a sample of males and females with FXS and in age- and sex-matched typically developing controls (TDC) using a cluster-based analysis. While alterations in theta and low beta power were similar across males and females in FXS, relative power varied by sex in the alpha, upper beta, gamma, and epsilon frequency bands. Follow up analyses showed that Individual Alpha Peak Frequency (IAPF), a continuous variable that may capture atypicalities across the theta and alpha ranges in neurodevelopmental disorders, also varied by sex. Finally, performance on an auditory filtering task correlated with theta power in males, but not females with FXS. The impact of biological sex on resting state EEG power differences in FXS is discussed as it relates to potential GABAergic and glutamatergic etiologies of neurocognitive deficits in FXS.
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Affiliation(s)
- Elizabeth Smith
- Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA,Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA,Elizabeth G. Smith, corresponding author Cincinnati Children’s Hospital, 3333 Burnet Avenue, MLC 7039 Cincinnati, OH 45229 , (513) 517-1383
| | - Ernest Pedapati
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA,Department of Psychiatry, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
| | - Rui Liu
- Department of Psychiatry, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
| | - Lauren Schmitt
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA,Division of Developmental and Behavioral Pediatrics, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
| | - Kelli Dominick
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA,Department of Psychiatry, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
| | - Rebecca Shaffer
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA,Division of Developmental and Behavioral Pediatrics, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
| | - John Sweeney
- Department of Psychiatry, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
| | - Craig Erickson
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA,Department of Psychiatry, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
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17
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Johnson MH, Charman T, Pickles A, Jones EJH. Annual Research Review: Anterior Modifiers in the Emergence of Neurodevelopmental Disorders (AMEND)-a systems neuroscience approach to common developmental disorders. J Child Psychol Psychiatry 2021; 62:610-630. [PMID: 33432656 PMCID: PMC8609429 DOI: 10.1111/jcpp.13372] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/25/2020] [Indexed: 02/06/2023]
Abstract
We present the Anterior Modifiers in the Emergence of Neurodevelopmental Disorders (AMEND) framework, designed to reframe the field of prospective studies of neurodevelopmental disorders. In AMEND we propose conceptual, statistical and methodological approaches to separating markers of early-stage perturbations from later developmental modifiers. We describe the evidence for, and features of, these interacting components before outlining analytical approaches to studying how different profiles of early perturbations and later modifiers interact to produce phenotypic outcomes. We suggest this approach could both advance our theoretical understanding and clinical approach to the emergence of developmental psychopathology in early childhood.
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Affiliation(s)
- Mark H. Johnson
- Centre for Brain and Cognitive DevelopmentDepartment of Psychological SciencesBirkbeck, University of LondonLondonUK
- Department of PsychologyUniversity of CambridgeCambridgeUK
| | - Tony Charman
- Department of PsychologyInstitute of Psychiatry, Psychology and NeuroscienceKing’s College LondonLondonUK
| | - Andrew Pickles
- Department of Biostatistics and Health InformaticsInstitute of Psychiatry, Psychology and NeuroscienceKing’s College LondonLondonUK
| | - Emily J. H. Jones
- Centre for Brain and Cognitive DevelopmentDepartment of Psychological SciencesBirkbeck, University of LondonLondonUK
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18
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McDonald NM, Jeste SS. Beyond Baby Siblings-Expanding the Definition of "High-Risk Infants" in Autism Research. Curr Psychiatry Rep 2021; 23:34. [PMID: 33860866 PMCID: PMC8765326 DOI: 10.1007/s11920-021-01243-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/24/2021] [Indexed: 12/12/2022]
Abstract
PURPOSE OF REVIEW Much of our understanding of early development in children with autism spectrum disorder (ASD) comes from studies of children with a family history of autism. We reviewed the current literature on neurodevelopmental profiles and autism prevalence from other high-risk infant groups to expose gaps and inform next steps. We focused on infants with early medical risk (e.g., preterm birth) and genetic risk (tuberous sclerosis complex [TSC]). RECENT FINDINGS About 7% of very preterm infants are later diagnosed with ASD. Prospective studies of early development outside of familial-risk infants are rare; however, recent work within preterm and TSC infants suggests interesting similarities and differences from infants with a family history of ASD. It is essential that we extend our knowledge of early markers of ASD beyond familial-risk infants to expand our knowledge of autism as it emerges in order to develop better, more individualized early interventions.
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Affiliation(s)
- Nicole M McDonald
- UCLA Semel Institute for Neuroscience and Human Behavior, 760 Westwood Plaza, Los Angeles, CA, 90095, USA.
| | - Shafali S Jeste
- UCLA Semel Institute for Neuroscience and Human Behavior, 760 Westwood Plaza, Los Angeles, CA, 90095, USA
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19
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Carter Leno V, Pickles A, van Noordt S, Huberty S, Desjardins J, Webb SJ, Elsabbagh M. 12-Month peak alpha frequency is a correlate but not a longitudinal predictor of non-verbal cognitive abilities in infants at low and high risk for autism spectrum disorder. Dev Cogn Neurosci 2021; 48:100938. [PMID: 33714056 PMCID: PMC7966984 DOI: 10.1016/j.dcn.2021.100938] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 12/10/2020] [Accepted: 03/01/2021] [Indexed: 10/26/2022] Open
Abstract
Although studies of PAF in individuals with autism spectrum disorder (ASD) report group differences and associations with non-verbal cognitive ability, it is not known how PAF relates to familial risk for ASD, and whether similar associations with cognition in are present in infancy. Using a large multi-site prospective longitudinal dataset of infants with low and high familial risk for ASD, metrics of PAF at 12 months were extracted and growth curves estimated for cognitive development between 12-36 months. Analyses tested whether PAF 1) differs between low and high risk infants, 2) is associated with concurrent non-verbal/verbal cognitive ability and 3) predicts developmental change in non-verbal/verbal ability. Moderation of associations between PAF and cognitive ability by familial risk status was also tested. No differences in 12-month PAF were found between low and high risk infants. PAF was associated with concurrent non-verbal cognitive ability, but did not predict change in non-verbal cognitive over development. No associations were found between PAF and verbal ability, along with no evidence of moderation. PAF is not related to familial risk for ASD, and is a neural marker of concurrent non-verbal cognitive ability, but not verbal ability, in young infants at low and high risk for ASD.
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Affiliation(s)
| | - Andrew Pickles
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Stefon van Noordt
- Montreal Neurological Institute, Azrieli Centre for Autism Research, McGill University, Montréal, Canada
| | - Scott Huberty
- Montreal Neurological Institute, Azrieli Centre for Autism Research, McGill University, Montréal, Canada
| | | | - Sara Jane Webb
- Center on Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, USA
| | - Mayada Elsabbagh
- Montreal Neurological Institute, Azrieli Centre for Autism Research, McGill University, Montréal, Canada
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20
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Yao S, Becker B, Kendrick KM. Reduced Inter-hemispheric Resting State Functional Connectivity and Its Association With Social Deficits in Autism. Front Psychiatry 2021; 12:629870. [PMID: 33746796 PMCID: PMC7969641 DOI: 10.3389/fpsyt.2021.629870] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 02/11/2021] [Indexed: 02/06/2023] Open
Abstract
Autism spectrum disorder (ASD) is an early onset developmental disorder which persists throughout life and is increasing in prevalence over the last few decades. Given its early onset and variable cognitive and emotional functional impairments, it is generally challenging to assess ASD individuals using task-based behavioral and functional MRI paradigms. Consequently, resting state functional MRI (rs-fMRI) has become a key approach for examining ASD-associated neural alterations and revealed functional alterations in large-scale brain networks relative to typically developing (TD) individuals, particularly those involved in social-cognitive and affective processes. Recent progress suggests that alterations in inter-hemispheric resting state functional connectivity (rsFC) between regions in the 2 brain hemispheres, particularly homotopic ones, may be of great importance. Here we have reviewed neuroimaging studies examining inter-hemispheric rsFC abnormities in ASD and its associations with symptom severity. As an index of inter-hemispheric functional connectivity, we have additionally reviewed previous studies on corpus callosum (CC) volumetric and fiber changes in ASD. There are converging findings on reduced inter-hemispheric (including homotopic) rsFC in large-scale brain networks particularly in posterior hubs of the default mode network, reduced volumes in the anterior and posterior CC, and on decreased FA and increased MD or RD across CC subregions. Associations between the strength of inter-hemispheric rsFC and social impairments in ASD together with their classification performance in distinguishing ASD subjects from TD controls across ages suggest that the strength of inter-hemispheric rsFC may be a more promising biomarker for assisting in ASD diagnosis than abnormalities in either brain wide rsFC or brain structure.
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Affiliation(s)
- Shuxia Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Benjamin Becker
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Keith M Kendrick
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
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21
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Emberti Gialloreti L, Enea R, Di Micco V, Di Giovanni D, Curatolo P. Clustering Analysis Supports the Detection of Biological Processes Related to Autism Spectrum Disorder. Genes (Basel) 2020; 11:genes11121476. [PMID: 33316975 PMCID: PMC7763205 DOI: 10.3390/genes11121476] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 11/27/2020] [Accepted: 12/07/2020] [Indexed: 12/27/2022] Open
Abstract
Genome sequencing has identified a large number of putative autism spectrum disorder (ASD) risk genes, revealing possible disrupted biological pathways; however, the genetic and environmental underpinnings of ASD remain mostly unanswered. The presented methodology aimed to identify genetically related clusters of ASD individuals. By using the VariCarta dataset, which contains data retrieved from 13,069 people with ASD, we compared patients pairwise to build “patient similarity matrices”. Hierarchical-agglomerative-clustering and heatmapping were performed, followed by enrichment analysis (EA). We analyzed whole-genome sequencing retrieved from 2062 individuals, and isolated 11,609 genetic variants shared by at least two people. The analysis yielded three clusters, composed, respectively, by 574 (27.8%), 507 (24.6%), and 650 (31.5%) individuals. Overall, 4187 variants (36.1%) were common to the three clusters. The EA revealed that the biological processes related to the shared genetic variants were mainly involved in neuron projection guidance and morphogenesis, cell junctions, synapse assembly, and in observational, imitative, and vocal learning. The study highlighted genetic networks, which were more frequent in a sample of people with ASD, compared to the overall population. We suggest that itemizing not only single variants, but also gene networks, might support ASD etiopathology research. Future work on larger databases will have to ascertain the reproducibility of this methodology.
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Affiliation(s)
- Leonardo Emberti Gialloreti
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
- Correspondence:
| | - Roberto Enea
- IMME Research Centre, Via Giotto 43, 81100 Caserta, Italy;
| | - Valentina Di Micco
- Child Neurology and Psychiatry Unit, Systems Medicine Department, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy; (V.D.M.); (P.C.)
| | - Daniele Di Giovanni
- Department of Industrial Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy;
| | - Paolo Curatolo
- Child Neurology and Psychiatry Unit, Systems Medicine Department, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy; (V.D.M.); (P.C.)
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22
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De Ridder J, Lavanga M, Verhelle B, Vervisch J, Lemmens K, Kotulska K, Moavero R, Curatolo P, Weschke B, Riney K, Feucht M, Krsek P, Nabbout R, Jansen AC, Wojdan K, Domanska-Pakieła D, Kaczorowska-Frontczak M, Hertzberg C, Ferrier CH, Samueli S, Benova B, Aronica E, Kwiatkowski DJ, Jansen FE, Jóźwiak S, Van Huffel S, Lagae L. Prediction of Neurodevelopment in Infants With Tuberous Sclerosis Complex Using Early EEG Characteristics. Front Neurol 2020; 11:582891. [PMID: 33178126 PMCID: PMC7596378 DOI: 10.3389/fneur.2020.582891] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 08/27/2020] [Indexed: 12/31/2022] Open
Abstract
Tuberous Sclerosis Complex (TSC) is a multisystem genetic disorder with a high risk of early-onset epilepsy and a high prevalence of neurodevelopmental comorbidities, including intellectual disability and autism spectrum disorder (ASD). Therefore, TSC is an interesting disease model to investigate early biomarkers of neurodevelopmental comorbidities when interventions are favourable. We investigated whether early EEG characteristics can be used to predict neurodevelopment in infants with TSC. The first recorded EEG of 64 infants with TSC, enrolled in the international prospective EPISTOP trial (recorded at a median gestational age 42 4/7 weeks) was first visually assessed. EEG characteristics were correlated with ASD risk based on the ADOS-2 score, and cognitive, language, and motor developmental quotients (Bayley Scales of Infant and Toddler Development III) at the age of 24 months. Quantitative EEG analysis was used to validate the relationship between EEG background abnormalities and ASD risk. An abnormal first EEG (OR = 4.1, p-value = 0.027) and more specifically a dysmature EEG background (OR = 4.6, p-value = 0.017) was associated with a higher probability of ASD traits at the age of 24 months. This association between an early abnormal EEG and ASD risk remained significant in a multivariable model, adjusting for mutation and treatment (adjusted OR = 4.2, p-value = 0.029). A dysmature EEG background was also associated with lower cognitive (p-value = 0.029), language (p-value = 0.001), and motor (p-value = 0.017) developmental quotients at the age of 24 months. Our findings suggest that early EEG characteristics in newborns and infants with TSC can be used to predict neurodevelopmental comorbidities.
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Affiliation(s)
- Jessie De Ridder
- Pediatric Neurology, Department of Development and Regeneration, University of Leuven KU Leuven, Leuven, Belgium
| | - Mario Lavanga
- Department of Electrical Engineering (ESAT), STADIUS Centre for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium
| | - Birgit Verhelle
- Pediatric Neurology, Department of Development and Regeneration, University of Leuven KU Leuven, Leuven, Belgium
| | - Jan Vervisch
- Pediatric Neurology, Department of Development and Regeneration, University of Leuven KU Leuven, Leuven, Belgium
| | - Katrien Lemmens
- Pediatric Neurology, Department of Development and Regeneration, University of Leuven KU Leuven, Leuven, Belgium
| | - Katarzyna Kotulska
- Department of Neurology and Epileptology, The Children's Memorial Health Institute, Warsaw, Poland
| | - Romina Moavero
- Child Neurology and Psychiatry Unit, Systems Medicine Department, Tor Vergata University, Rome, Italy.,Child Neurology Unit, Neuroscience and Neurorehabilitation Department, "Bambino Gesù" Children's Hospital, Rome, Italy
| | - Paolo Curatolo
- Child Neurology and Psychiatry Unit, Systems Medicine Department, Tor Vergata University, Rome, Italy
| | - Bernhard Weschke
- Department of Child Neurology, Charité University Medicine Berlin, Berlin, Germany
| | - Kate Riney
- Neuroscience Unit, Queensland Children's Hospital, Brisbane, QLD, Australia.,University of Queensland School of Clinical Medicine, Brisbane, QLD, Australia
| | - Martha Feucht
- Department of Pediatrics, Medical University Vienna, Vienna, Austria
| | - Pavel Krsek
- Department of Paediatric Neurology, Charles University, Second Faculty of Medicine, Motol University Hospital, Prague, Czechia
| | - Rima Nabbout
- Department of Pediatric Neurology, Reference Centre for Rare Epilepsies, Imagine Institute, Necker- Enfants Malades Hospital, University Paris Descartes, Paris, France
| | - Anna C Jansen
- Pediatric Neurology Unit, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Konrad Wojdan
- Transition Technologies, Warsaw, Poland.,Institute of Heat Engineering, Warsaw University and Technology, Warsaw, Poland
| | - Dorota Domanska-Pakieła
- Department of Neurology and Epileptology, The Children's Memorial Health Institute, Warsaw, Poland
| | | | - Christoph Hertzberg
- Diagnose und Behandlungszentrum für Kinder und Jugendliche, Vivantes Klinikum Neuköln, Berlin, Germany
| | - Cyrille H Ferrier
- Department of Child Neurology, Brain Centre, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Sharon Samueli
- Department of Pediatrics, Medical University Vienna, Vienna, Austria
| | - Barbora Benova
- Department of Paediatric Neurology, Charles University, Second Faculty of Medicine, Motol University Hospital, Prague, Czechia
| | - Eleonora Aronica
- Department of (Neuro)Pathology, Amsterdam Universitair Medisch Centrum, University of Amsterdam, Amsterdam, Netherlands.,Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede, Netherlands
| | - David J Kwiatkowski
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States
| | - Floor E Jansen
- Department of Child Neurology, Brain Centre, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Sergiusz Jóźwiak
- Department of Neurology and Epileptology, The Children's Memorial Health Institute, Warsaw, Poland.,Department of Child Neurology, Medical University of Warsaw, Warsaw, Poland
| | - Sabine Van Huffel
- Department of Electrical Engineering (ESAT), STADIUS Centre for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium
| | - Lieven Lagae
- Pediatric Neurology, Department of Development and Regeneration, University of Leuven KU Leuven, Leuven, Belgium
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23
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Samanta D. An Updated Review of Tuberous Sclerosis Complex-Associated Autism Spectrum Disorder. Pediatr Neurol 2020; 109:4-11. [PMID: 32563542 DOI: 10.1016/j.pediatrneurol.2020.03.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 03/01/2020] [Accepted: 03/03/2020] [Indexed: 01/30/2023]
Abstract
Tuberous sclerosis complex (TSC) is a neurocutaneous disorder caused by mutations of either the TSC1 or TSC2 gene. Various neuropsychiatric features, including autism, are prevalent in TSC. Recently, significant progress has been possible with the prospective calculation of the prevalence of autism in TSC, identification of early clinical and neurophysiological biomarkers to predict autism, and investigation of different therapies to prevent autism in this high-risk population. The author provides a narrative review of recent findings related to biomarkers for diagnosis of autism in TSC, as well as recent studies related to the management of TSC-associated autism. Further sophisticated modeling and analysis are required to understand the role of different models-tuber models, seizures and related neurophysiological factors models, genotype models, and brain connectivity models-to unravel the neurobiological basis of autism in TSC. Early neuropsychologic assessments may be beneficial in this high-risk group. Targeted intervention to improve visual skill, cognition, and fine motor skills with later addition of social skill training can be helpful. Multicenter, prospective studies are ongoing to identify if presymptomatic treatment with vigabatrin in patients with TSC can improve outcomes, including autism. Several studies indicated reasonable safety of everolimus in young children, and its potential application in high-risk infants with TSC, before the closure of the temporal window of permanent changes, maybe undertaken shortly.
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Affiliation(s)
- Debopam Samanta
- Child Neurology Section, Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
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24
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Moavero R, Kotulska K, Lagae L, Benvenuto A, Emberti Gialloreti L, Weschke B, Riney K, Feucht M, Krsek P, Nabbout R, Jansen AC, Wojdan K, Borkowska J, Sadowski K, Hertzberg C, Van Schooneveld MM, Samueli S, Maulisovà A, Aronica E, Kwiatkowski DJ, Jansen FE, Jozwiak S, Curatolo P. Is autism driven by epilepsy in infants with Tuberous Sclerosis Complex? Ann Clin Transl Neurol 2020; 7:1371-1381. [PMID: 32705817 PMCID: PMC7448162 DOI: 10.1002/acn3.51128] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 06/16/2020] [Accepted: 06/17/2020] [Indexed: 01/19/2023] Open
Abstract
Objective To evaluate the relationship between age at seizure onset and neurodevelopmental outcome at age 24 months in infants with TSC, as well as the effect on neurodevelopmental outcome of early versus conventional treatment of epileptic seizures with vigabatrin (80–150 mg/kg/day). Methods Infants with TSC, aged ≤4 months and without previous seizures were enrolled in a prospective study and closely followed with monthly video EEG and serial standardized neurodevelopmental testing (Bayley Scales of Infant Development and Autism Diagnostic Observation Schedule). Results Eighty infants were enrolled. At the age of 24 months testing identified risk of Autism Spectrum Disorder (ASD) in 24/80 children (30.0%), and developmental delay (DD) in 26/80 (32.5%). Children with epilepsy (51/80; 63.8%) had a higher risk of ASD (P = 0.02) and DD (P = 0.001). Overall, no child presented with moderate or severe DD at 24 months (developmental quotient < 55). In 20% of children abnormal developmental trajectories were detected before the onset of seizures. Furthermore, 21% of all children with risk of ASD at 24 months had not developed seizures at that timepoint. There was no significant difference between early and conventional treatment with respect to rate of risk of ASD (P = 0.8) or DD (P = 0.9) at 24 months. Interpretation This study confirms a relationship between epilepsy and risk of ASD/DD. However, in this combined randomized/open label study, early treatment with vigabatrin did not alter the risk of ASD or DD at age 2 years.
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Affiliation(s)
- Romina Moavero
- Child Neurology and Psychiatry Unit, Systems Medicine Department, Tor Vergata University, Via Montpellier 1, Rome, 00133, Italy.,Child Neurology Unit, Neuroscience and Neurorehabilitation Department, "Bambino Gesù" Children's Hospital, IRCCS, P.zza S. Onofrio 4, Rome, 00165, Italy
| | - Katarzyna Kotulska
- Department of Neurology and Epileptology, The Children's Memorial Health Institute, Al. Dzieci Polskich 20, Warsaw, 04-730, Poland
| | - Lieven Lagae
- Department of Development and Regeneration-Section Pediatric Neurology, University Hospitals KU Leuven, Leuven, Belgium
| | - Arianna Benvenuto
- Child Neurology and Psychiatry Unit, Systems Medicine Department, Tor Vergata University, Via Montpellier 1, Rome, 00133, Italy
| | - Leonardo Emberti Gialloreti
- Department of Biomedicine and Prevention, Tor Vergata University of Rome, Via Montpellier 1, Rome, 00133, Italy
| | - Bernhard Weschke
- Department of Child Neurology, Charité University Medicine Berlin, Augustenburger Platz 1, Berlin, 13353, Germany
| | - Kate Riney
- Neuroscience Unit, Queensland Children's Hospital, 501 Stanley Street, South Brisbane, QLD, 4101, Australia.,School of Clinical Medicine, University of Queensland, St Lucia, QLD, 4072, Australia
| | - Martha Feucht
- Department of Pediatrics, Medical University Vienna, Vienna, Austria
| | - Pavel Krsek
- Department of Paediatric Neurology, Charles University, Second Faculty of Medicine and Motol University Hospital, Prague, Czech Republic
| | - Rima Nabbout
- Department of Pediatric Neurology, Reference Centre for Rare Epilepsies, Necker- Enfants Malades Hospital, University Paris Descartes, Imagine Institute, Paris, France
| | - Anna C Jansen
- Pediatric Neurology Unit-UZ Brussel, Brussels, Belgium
| | - Konrad Wojdan
- Warsaw University of Technology, Institute of Heat Engineering, Warsaw, Poland.,Transition Technologies, ul. Pawia 5, Warsaw, 01-030, Poland
| | - Julita Borkowska
- Department of Neurology and Epileptology, The Children's Memorial Health Institute, Al. Dzieci Polskich 20, Warsaw, 04-730, Poland
| | - Krzysztof Sadowski
- Department of Neurology and Epileptology, The Children's Memorial Health Institute, Al. Dzieci Polskich 20, Warsaw, 04-730, Poland
| | - Christoph Hertzberg
- Diagnose und Behandlungszentrum für Kinder und Jugendliche, Vivantes Klinikum Neuköln, Berlin, Germany
| | - Monique M Van Schooneveld
- Department of Child Neurology, Brain Center University Medical Center Utrecht, Utrecht, The Netherlands
| | - Sharon Samueli
- Department of Pediatrics, Medical University Vienna, Vienna, Austria
| | - Alice Maulisovà
- Department of Paediatric Neurology, Charles University, Second Faculty of Medicine and Motol University Hospital, Prague, Czech Republic
| | - Eleonora Aronica
- Department of (Neuro)Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Meibergdreef 9, Amsterdam, The Netherlands.,Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede, The Netherlands
| | | | - Floor E Jansen
- Department of Child Neurology, Brain Center University Medical Center Utrecht, Utrecht, The Netherlands
| | - Sergiusz Jozwiak
- Department of Neurology and Epileptology, The Children's Memorial Health Institute, Al. Dzieci Polskich 20, Warsaw, 04-730, Poland.,Department of Child Neurology, Medical University of Warsaw, Warsaw, Poland
| | - Paolo Curatolo
- Child Neurology and Psychiatry Unit, Systems Medicine Department, Tor Vergata University, Via Montpellier 1, Rome, 00133, Italy
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25
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Huang J, Li L, Ding M. Infant With Fever and Shortness of Breath. Ann Emerg Med 2020; 75:e33-e34. [PMID: 32471587 DOI: 10.1016/j.annemergmed.2019.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Indexed: 11/18/2022]
Affiliation(s)
- Jun Huang
- Department of the Echocardiography, Changzhou No. 2 People's Hospital Affiliated to Nanjing Medical University, Changzhou, Jiangsu, China
| | - Li Li
- Department of Pediatrics, Changzhou Fourth People's Hospital, Changzhou Tumor Hospital Affiliated to Soochow University, Changzhou, Jiangsu, China
| | - Ming Ding
- Department of the Radiology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
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26
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Geng X, Kang X, Wong PCM. Autism spectrum disorder risk prediction: A systematic review of behavioral and neural investigations. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2020; 173:91-137. [PMID: 32711819 DOI: 10.1016/bs.pmbts.2020.04.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
A reliable diagnosis of autism spectrum disorder (ASD) is difficult to make until after toddlerhood. Detection in an earlier age enables early intervention, which is typically more effective. Recent studies of the development of brain and behavior in infants and toddlers have provided important insights in the diagnosis of autism. This extensive review focuses on published studies of predicting the diagnosis of autism during infancy and toddlerhood younger than 3 years using behavioral and neuroimaging approaches. After screening a total of 782 papers, 17 neuroimaging and 43 behavioral studies were reviewed. The features for prediction consist of behavioral measures using screening tools, observational and experimental methods, brain volumetric measures, and neural functional activation and connectivity patterns. The classification approaches include logistic regression, linear discriminant function, decision trees, support vector machine, and deep learning based methods. Prediction performance has large variance across different studies. For behavioral studies, the sensitivity varies from 20% to 100%, and specificity ranges from 48% to 100%. The accuracy rates range from 61% to 94% in neuroimaging studies. Possible factors contributing to this inconsistency may be partially due to the heterogeneity of ASD, different targeted populations (i.e., high-risk group for ASD and general population), age when the features were collected, and validation procedures. The translation to clinical practice requires extensive further research including external validation with large sample size and optimized feature selection. The use of multi-modal features, e.g., combination of neuroimaging and behavior, is worth further investigation to improve the prediction accuracy.
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Affiliation(s)
- Xiujuan Geng
- Brain and Mind Institute, The Chinese University of Hong Kong, Shatin, Hong Kong.
| | - Xin Kang
- Brain and Mind Institute, The Chinese University of Hong Kong, Shatin, Hong Kong; Department of Linguistics and Modern Languages, The Chinese University of Hong Kong, Shatin, Hong Kong.
| | - Patrick C M Wong
- Brain and Mind Institute, The Chinese University of Hong Kong, Shatin, Hong Kong; Department of Linguistics and Modern Languages, The Chinese University of Hong Kong, Shatin, Hong Kong; Department of Otorhinolaryngology, Head and Neck Surgery, The Chinese University of Hong Kong, Shatin, Hong Kong
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