Modulation of Resting-State Brain Complexity After Bilateral Cerebellar Anodal Transcranial Direct Current Stimulation in Children with Autism Spectrum Disorders: a Randomized Controlled Trial Study

Johnson CP, Myers SM, D American Academy of Pediatrics Council on Children With. Identification and evaluation of children with autism spectrum disorders. Pediatrics. 2007;120(5):1183–215.

PubMed  Article  Google Scholar 

Webb SJ, et al. Guidelines and best practices for electrophysiological data collection, analysis and reporting in autism. J Autism Dev Disord. 2015;45(2):425–43.

PubMed  PubMed Central  Article  Google Scholar 

Liu T, et al. Altered electroencephalogram complexity in autistic children shown by the multiscale entropy approach. NeuroReport. 2017;28(3):169–73.

PubMed  PubMed Central  Article  Google Scholar 

Zhang L, Wang XH, Li L. Diagnosing autism spectrum disorder using brain entropy: A fast entropy method. Comput Methods Programs Biomed. 2020;190:105240.

PubMed  Article  Google Scholar 

Takahashi T. Complexity of spontaneous brain activity in mental disorders. Prog Neuropsychopharmacol Biol Psychiatry. 2013;45:258–66.

PubMed  Article  Google Scholar 

Sokunbi MO, et al. Resting state fMRI entropy probes complexity of brain activity in adults with ADHD. Psychiatry Res. 2013;214(3):341–8.

PubMed  Article  Google Scholar 

Demirtas-Tatlidede A, Vahabzadeh-Hagh AM, Pascual-Leone A. Can noninvasive brain stimulation enhance cognition in neuropsychiatric disorders? Neuropharmacology. 2013;64:566–78.

CAS  PubMed  Article  Google Scholar 

Schneider HD, Hopp JP. The use of the bilingual aphasia test for assessment and transcranial direct current stimulation to modulate language acquisition in minimally verbal children with autism. Clin Linguist Phon. 2011;25(6–7):640–54.

PubMed  Article  Google Scholar 

Amatachaya A, et al. Effect of anodal transcranial direct current stimulation on autism: a randomized double-blind crossover trial. Behav Neurol. 2014;2014:173073.

PubMed  PubMed Central  Article  Google Scholar 

Amatachaya A, et al. The short-term effects of transcranial direct current stimulation on electroencephalography in children with autism: a randomized crossover controlled trial. Behav Neurol. 2015;2015:928631.

PubMed  PubMed Central  Article  Google Scholar 

van Steenburgh JJ, et al. Balanced bifrontal transcranial direct current stimulation enhances working memory in adults with high-functioning autism: a sham-controlled crossover study. Mol Autism. 2017;8:40.

PubMed  PubMed Central  Article  Google Scholar 

Hadoush H, et al. Therapeutic effects of bilateral anodal transcranial direct current stimulation on prefrontal and motor cortical areas in children with autism spectrum disorders: a pilot study. Autism Res. 2020;13(5):828–36.

PubMed  Article  Google Scholar 

Kang J, et al. Transcranial direct current stimulation (tDCS) can modulate EEG complexity of children with autism spectrum disorder. Front Neurosci. 2018;12:201.

PubMed  PubMed Central  Article  Google Scholar 

Limperopoulos C, et al. Does cerebellar injury in premature infants contribute to the high prevalence of long-term cognitive, learning, and behavioral disability in survivors? Pediatrics. 2007;120(3):584–93.

PubMed  Article  Google Scholar 

Stoodley CJ, Limperopoulos C. Structure-function relationships in the developing cerebellum: evidence from early-life cerebellar injury and neurodevelopmental disorders. Semin Fetal Neonatal Med. 2016;21(5):356–64.

PubMed  PubMed Central  Article  Google Scholar 

Buckner RL, et al. The organization of the human cerebellum estimated by intrinsic functional connectivity. J Neurophysiol. 2011;106(5):2322–45.

PubMed  PubMed Central  Article  Google Scholar 

Van Overwalle F, et al. Consensus paper: cerebellum and social cognition. Cerebellum. 2020;19(6):833–68.

PubMed  PubMed Central  Article  Google Scholar 

Ferrucci R, et al. Cerebellum and processing of negative facial emotions: cerebellar transcranial DC stimulation specifically enhances the emotional recognition of facial anger and sadness. Cogn Emot. 2012;26(5):786–99.

PubMed  Article  Google Scholar 

Treasure T, MacRae KD. Minimisation: the platinum standard for trials? Randomisation doesn’t guarantee similarity of groups; minimisation does. BMJ. 1998;317(7155):362–3.

CAS  PubMed  PubMed Central  Article  Google Scholar 

Grimaldi G, et al. Cerebellar transcranial direct current stimulation (ctDCS): a novel approach to understanding cerebellar function in health and disease. Neuroscientist. 2016;22(1):83–97.

PubMed  PubMed Central  Article  Google Scholar 

Grimaldi G, et al. Non-invasive cerebellar stimulation–a consensus paper. Cerebellum. 2014;13(1):121–38.

CAS  PubMed  Article  Google Scholar 

Grimaldi G, et al. Marked reduction of cerebellar deficits in upper limbs following transcranial cerebello-cerebral DC stimulation: tremor reduction and re-programming of the timing of antagonist commands. Front Syst Neurosci. 2014;8:9.

PubMed  PubMed Central  Article  Google Scholar 

Pincus SM. Approximate entropy as a measure of irregularity for psychiatric serial metrics. Bipolar Disord. 2006;8(5 Pt 1):430–40.

PubMed  Article  Google Scholar 

Richman JS, Moorman JR. Physiological time-series analysis using approximate entropy and sample entropy. Am J Physiol Heart Circ Physiol. 2000;278(6):H2039–49.

CAS  PubMed  Article  Google Scholar 

Pincus SM, Goldberger AL. Physiological time-series analysis: what does regularity quantify? Am J Physiol. 1994;266(4 Pt 2):H1643–56.

CAS  PubMed  Google Scholar 

Hadoush H, Alafeef M, Abdulhay E. Automated identification for autism severity level: EEG analysis using empirical mode decomposition and second order difference plot. Behav Brain Res. 2019;362:240–8.

PubMed  Article  Google Scholar 

Delgado-Bonal A, Marshak A. Approximate entropy and sample entropy: a comprehensive tutorial. Entropy. 2019;(6):541.

Pincus SM, Keefe DL. Quantification of hormone pulsatility via an approximate entropy algorithm. Am J Physiol. 1992;262(5 Pt 1):E741–54.

CAS  PubMed  Google Scholar 

Pincus SM, Viscarello RR. Approximate entropy: a regularity measure for fetal heart rate analysis. Obstet Gynecol. 1992;79(2):249–55.

CAS  PubMed  Google Scholar 

Coben R, et al. EEG power and coherence in autistic spectrum disorder. Clin Neurophysiol. 2008;119(5):1002–9.

PubMed  Article  Google Scholar 

Bosl W, et al. EEG complexity as a biomarker for autism spectrum disorder risk. BMC Med. 2011;9:18.

PubMed  PubMed Central  Article  Google Scholar 

Okazaki R, et al. Changes in EEG complexity with electroconvulsive therapy in a patient with autism spectrum disorders: a multiscale entropy approach. Front Hum Neurosci. 2015;9:106.

PubMed  PubMed Central  Article  Google Scholar 

Hadoush H, Alafeef M, Abdulhay E. Brain complexity in children with mild and severe autism spectrum disorders: analysis of multiscale entropy in EEG. Brain Topogr. 2019;32(5):914–21.

PubMed  Article  Google Scholar 

Wang J, et al. Resting state EEG abnormalities in autism spectrum disorders. J Neurodev Disord. 2013;5(1):24.

PubMed  PubMed Central  Article  Google Scholar 

Stoodley CJ. The cerebellum and neurodevelopmental disorders. Cerebellum. 2016;15(1):34–7.

CAS  PubMed  PubMed Central  Article  Google Scholar 

Oldrati V, et al. How social is the cerebellum? Exploring the effects of cerebellar transcranial direct current stimulation on the prediction of social and physical events. Brain Struct Funct. 2021.

Oldrati V, Schutter D. Targeting the human cerebellum with transcranial direct current stimulation to modulate behavior: a meta-analysis. Cerebellum. 2018;17(2):228–36.

PubMed  Article  Google Scholar 

Cardinale RC, et al. Pervasive rightward asymmetry shifts of functional networks in autism spectrum disorder. JAMA Psychiat. 2013;70(9):975–82.

Article  Google Scholar 

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