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Status unknownNCT05781412MACAUpdated Apr 7, 2023

Modulation of the Activity of the Cerebellum in Autism (MACA)

An interventional study of tDCS in Autism Spectrum Disorder, sponsored by Beatriz Catoira. Status unknown at 1 site in Belgium. Open to participants aged 18 Years to 45 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2023-04-07.

Sponsored by Beatriz Catoira · Not applicable, Interventional, and Basic science

The sponsor has not verified this record recently (last verified Apr 2023), so the status shown — last known as Recruiting — may be out of date.

From the registry’s dates

  • Registered 6 months after the study started (first participant enrolled May 2022, registered Dec 2022).
Phase
Not applicable
Study type
Interventional
Enrollment
100
Allocation
Randomized
Ages
18 Years to 45 Years
Sex
All
01

Study summary

Research on the involvement of the cerebellum in social understanding behavior and the mentalizing brain system has just begun. Knowledge about the neurobiology of social understanding is important for understanding the ways to manipulate these processes. Like cerebral tDCS, cerebellar tDCS could then be used to enhance more complex processes, such as mentalizing, in healthy individuals. It can eventually also be examined as a therapeutic tool for patients with mentalizing difficulties such as patients with ASD. In this study, it is examined whether anodal tDCS at the right posterior cerebellum influences social understanding and which cerebro-cerebellar networks play a role in this process.

Read the detailed description

Autism Spectrum Disorders (ASD) are a group of lifelong neurodevelopmental disorders characterized by social and communicative difficulties and repetitive and stereotyped behaviors. Research has shown that cerebellar abnormalities are among the most important etiological factors for ASD. The cerebellum is found to be most frequently involved in tasks where participants must remember or imagine past or future autobiographical events, judge persons or situations based on behavioral sentences, make trait inferences of others using stories, words or faces, and describe persons or objects based on behavioral or object pictures. Recent research has also provided evidence on the involvement of the posterior areas of the cerebellum in social cognition.

Specifically, the areas crus I and crus II, located at the lateral hemispheres of the posterior cerebellum, are associated with more complex cognitive and social processes, such as mentalizing. Mentalizing is the cognitive ability to attribute mental states, such as desires, intentions, and beliefs, to other people. This ability is needed to understand and predict other people's behavior and is the main component of social cognition. Problems with mentalizing, including the attribution of false beliefs to others, are characteristic for autism spectrum disorder (ASD). A sequencing task (that included social and non social conditions) showing that cerebellar patients performed worse than healthy participants.

Facial emotion recognition refers to the ability to derive emotional meaning from facial expressions and has been shown to underlie social competency. Recent literature reviews have reported significant facial emotion recognition impairments in individuals with ASD. These impairments take various forms, such as a reduced accuracy in labeling facial emotions or reduced specificity in rating facial emotions of varying intensity . Thus, there is evidence suggesting that ASD is associated with a selective impairment in facial emotion recognition.

Transcranial direct current stimulation (tDCS) is a noninvasive technique that can produce long-lasting changes in the excitability and spontaneous activity of the stimulated brain areas. Therefore, tDCS is investigated as a possible treatment for different psychiatric diseases. Cerebellar tDCS have shown to also produce prolonged changes successfully at the neural and behavioral level. However, due to the high density of neurons in the cerebellum and diffuse connections to the cerebrum, it is more difficult to understand the working mechanisms of cerebellar as compared to cerebral tDCS. In addition, the electrical current will spread across more neurons in the cerebellum by cerebellar tDCS and will functionally affect the cerebral regions to which these cerebellar neurons are connected as well. Therefore, the type of behavioral effect, such as an improvement of performance after anodal tDCS or an impairment of performance after cathodal tDCS, is harder to predict for cerebellar than cerebral tDCS.

Modulation of social understanding with tDCS has been studied by stimulating the key mentalizing regions mPFC and TPJ. In healthy participants, an improvement on tasks was found that required the enhancement or inhibition of representation of the self or of others, which is important for mentalizing, after anodal tDCS at the TPJ compared to sham tDCS or cathodal tDCS. The effect of cerebellar tDCS on social understanding using action sequences has not yet been examined.

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Conditions studied

  • Autism Spectrum Disorder

Keywords

  • tDCS
  • Cerebellum
  • neuromodulation
  • autism
03

In context

Autistic Disorder

1,344 studies on the registry are indexed under Autistic Disorder; 334 are open to participants now.

This study's planned enrollment of 100 is above the median of 45 across 1,044 interventional studies indexed under Autistic Disorder.

Browse Autistic Disorder studies →

Lead sponsor

This is the only study on the registry with Beatriz Catoira as lead sponsor.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years to 45 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Eligibility criteria

Participant Inclusion/exclusion criteria:

  • Participants must be more than 18 years old
  • normal eyesight and hearing;
  • Dutch, French or English speaking;

Neurotypical participants inclusion/exclusion criteria:

  • No disorder (now or in the past) that could have affected the brain such as cerebrovascular accidents (CVA), neurodegenerative disorders, or essential tremor;
  • No neurological diseases that could affect reasoning or intellectual abilities (such as Parkinson's Disease, Epilepsy, and Multiple Sclerosis)
  • Neurotypical participants will be matched on age and gender to the ASD population;

ASD participants inclusion/exclusion criteria:

Patients with a formal diagnosis of high-functioning ASD as determined by the clinical psychologist/psychiatrist.

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Study design

Phase
Not applicable
Primary purpose
Basic science
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Participant)
Enrollment
100 participants (estimated)

Study arms

  • Active comparator
    ASD_anodalstimulation

    ASD participant, anodal stimulation on the first session, sham stimulation on the second sesion

    Device: tDCS

  • Sham comparator
    ASD_shamstimulation

    ASD participant, sham stimulation on the first session, anodal stimulation on the second sesion

    Device: tDCS

  • Active comparator
    NT_anodalstimulation

    Neurotypical participant, anodal stimulation on the first session, sham stimulation on the second sesion

    Device: tDCS

  • Sham comparator
    NT_shamstimulation

    Neurotypical participant, sham stimulation on the first session, anodal stimulation on the second sesion

    Device: tDCS

  • Active comparator
    H-AQ_anodalstimulation

    non diagnosed autistic participant,anodal stimulation on the first session, sham stimulation on the second sesion

    Device: tDCS

  • Sham comparator
    H-AQ_shamstimulation

    non diagnosed autistic participant, sham stimulation on the first session, anodal stimulation on the second sesion

    Device: tDCS

Interventions

  • DevicetDCS

    Anodal and Sham cerebellar tDCS will be used in each participant in a counterbalanced order

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What researchers measure

Primary outcomes

  1. PS_RT

    Reaction Time in the pictorial sequencing time

    Time frame: assessment will begin 10 minutes after stimulation and last up to 15 minutes

  2. PS_accuracy

    Accuracy in the pictorial sequencing task

    Time frame: assessment will begin 10 minutes after stimulation and last up to 15 minutes

  3. ER_RT

    Reaction Times in the emotion recognition task

    Time frame: assessment will begin 20 minutes after stimulation and last up to 5 minutes

  4. ER_accuracy

    Accuracy in the emotion recognition task

    Time frame: assessment will begin 20 minutes after stimulation and last up to 5 minutes

  5. Brain activity at the emotion recognition task

    Brain activity (fMRI) in regions of interest/whole brain analysis. Differences between stimulation and sham, between task conditions and between sessions as well as possible interactions in between those factors and covariates (AQ scores, age, gender...)

    Time frame: assessment will begin 20 minutes after stimulation and last up to 5 minutes

  6. Brain activity at resting state

    Brain activity (fMRI) in regions of interest/whole brain analysis. Differences between stimulation and sham, between task conditions and between sessions as well as possible interactions in between those factors and covariates (AQ scores, age, gender...)

    Time frame: assesment will begin concurrent with stimulation and last up to 20 minutes

  7. Brain activity at the pictorial sequencing task

    Brain activity (fMRI) in regions of interest/whole brain analysis. Differences between stimulation and sham, between task conditions and between sessions as well as possible interactions in between those factors and covariates (AQ scores, age, gender...)

    Time frame: assessment will begin 10 minutes after stimulation and last up to 15 minutes

  8. White matter integrity in the cerebellum

    White matter integrity matrix (FA, MD, RD) in the cerebellum using tract-based spatial statistics in the cerebellum \& differences between groups

    Time frame: assessment will begin immediately after stimulation and last up to 10 minutes

Secondary outcomes

  1. Connectivity_PStask

    Brain connectivity (fMRI) analysis on the pictorial sequencing task

    Time frame: assessment will begin 10 minutes after stimulation and last up to 15 minutes

  2. Connectivity_ERtask

    Brain connectivity (fMRI) analysis on the emotion recognition task

    Time frame: assessment will begin 20 minutes after stimulation and last up to 5 minutes

  3. Connectivity_stimulation

    Brain connectivity (fMRI) analysis during stimulation

    Time frame: assesment will begin concurrent with stimulation and last up to 20 minutes

  4. Fiber tractography between the cerebellum and the default mode/ mentalizing network

    Fiber tractography (Diffusion weighted imaging) between the cerebellum and the default mode / mentalizing network, by extraction of white matter integrity parameters on each fiber tract

    Time frame: assessment will begin immediately after stimulation and last up to 10 minutes

  5. ROI-based structural connectivity

    Structural connectivity (DWI) between ROIs from the default mode/mentalizing network

    Time frame: assessment will begin immediately after stimulation and last up to 10 minutes

  6. Whole brain structural network construction

    Structural connectivity (DWI) within the whole brain using graph theory

    Time frame: assessment will begin immediately after stimulation and last up to 10 minutes

Other outcomes

  1. Electrical Field Simulations

    Simulation of the electric field generated by the tDCS stimulation.

    Time frame: First 10 minutes of assessment

  2. Correlations between DWI, behavioural data, simulation and functional data

    The primary outcome measures from the diffusion weighted imaging will provide different measures for structural connectivity per participant. The correlation of these measures with behavioural and/or functional data will be computed.

    Time frame: assessment will include data from the 60 minutes that are spent in the scanner in the session

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Study locations

1 of 1 sites recruiting
  • UZ Brussel
    Jette, Brussels 1090, Belgium
    Recruiting
08

References and documents

Publications

  • Van Overwalle F, Baetens K, Marien P, Vandekerckhove M. Social cognition and the cerebellum: a meta-analysis of over 350 fMRI studies. Neuroimage. 2014 Feb 1;86:554-72. doi: 10.1016/j.neuroimage.2013.09.033. Epub 2013 Sep 27. PubMed 24076206 ↗
  • Buckner RL, Krienen FM, Castellanos A, Diaz JC, Yeo BT. The organization of the human cerebellum estimated by intrinsic functional connectivity. J Neurophysiol. 2011 Nov;106(5):2322-45. doi: 10.1152/jn.00339.2011. Epub 2011 Jul 27. PubMed 21795627 ↗
  • Murphy CM, Wilson CE, Robertson DM, Ecker C, Daly EM, Hammond N, Galanopoulos A, Dud I, Murphy DG, McAlonan GM. Autism spectrum disorder in adults: diagnosis, management, and health services development. Neuropsychiatr Dis Treat. 2016 Jul 7;12:1669-86. doi: 10.2147/NDT.S65455. eCollection 2016. PubMed 27462160 ↗
  • Murphy DG, Beecham J, Craig M, Ecker C. Autism in adults. New biologicial findings and their translational implications to the cost of clinical services. Brain Res. 2011 Mar 22;1380:22-33. doi: 10.1016/j.brainres.2010.10.042. Epub 2010 Oct 20. PubMed 20969835 ↗
  • D'Mello AM, Stoodley CJ. Cerebro-cerebellar circuits in autism spectrum disorder. Front Neurosci. 2015 Nov 5;9:408. doi: 10.3389/fnins.2015.00408. eCollection 2015. PubMed 26594140 ↗
  • Fatemi SH, Aldinger KA, Ashwood P, Bauman ML, Blaha CD, Blatt GJ, Chauhan A, Chauhan V, Dager SR, Dickson PE, Estes AM, Goldowitz D, Heck DH, Kemper TL, King BH, Martin LA, Millen KJ, Mittleman G, Mosconi MW, Persico AM, Sweeney JA, Webb SJ, Welsh JP. Consensus paper: pathological role of the cerebellum in autism. Cerebellum. 2012 Sep;11(3):777-807. doi: 10.1007/s12311-012-0355-9. PubMed 22370873 ↗
  • Sathyanesan A, Zhou J, Scafidi J, Heck DH, Sillitoe RV, Gallo V. Emerging connections between cerebellar development, behaviour and complex brain disorders. Nat Rev Neurosci. 2019 May;20(5):298-313. doi: 10.1038/s41583-019-0152-2. PubMed 30923348 ↗
  • Heleven E, van Dun K, Van Overwalle F. The posterior Cerebellum is involved in constructing Social Action Sequences: An fMRI Study. Sci Rep. 2019 Jul 31;9(1):11110. doi: 10.1038/s41598-019-46962-7. PubMed 31366954 ↗
  • Van Overwalle F, Van de Steen F, Marien P. Dynamic causal modeling of the effective connectivity between the cerebrum and cerebellum in social mentalizing across five studies. Cogn Affect Behav Neurosci. 2019 Feb;19(1):211-223. doi: 10.3758/s13415-018-00659-y. PubMed 30361864 ↗
  • Leggio M, Olivito G. Topography of the cerebellum in relation to social brain regions and emotions. Handb Clin Neurol. 2018;154:71-84. doi: 10.1016/B978-0-444-63956-1.00005-9. PubMed 29903453 ↗
  • Frith CD, Frith U. Interacting minds--a biological basis. Science. 1999 Nov 26;286(5445):1692-5. doi: 10.1126/science.286.5445.1692. PubMed 10576727 ↗
  • Mier D, Lis S, Neuthe K, Sauer C, Esslinger C, Gallhofer B, Kirsch P. The involvement of emotion recognition in affective theory of mind. Psychophysiology. 2010 Nov;47(6):1028-39. doi: 10.1111/j.1469-8986.2010.01031.x. PubMed 20456660 ↗
  • Baron-Cohen S, Leslie AM, Frith U. Does the autistic child have a "theory of mind"? Cognition. 1985 Oct;21(1):37-46. doi: 10.1016/0010-0277(85)90022-8. No abstract available. PubMed 2934210 ↗
  • Leggio MG, Tedesco AM, Chiricozzi FR, Clausi S, Orsini A, Molinari M. Cognitive sequencing impairment in patients with focal or atrophic cerebellar damage. Brain. 2008 May;131(Pt 5):1332-43. doi: 10.1093/brain/awn040. Epub 2008 Mar 11. PubMed 18334535 ↗
  • Izard C, Fine S, Schultz D, Mostow A, Ackerman B, Youngstrom E. Emotion knowledge as a predictor of social behavior and academic competence in children at risk. Psychol Sci. 2001 Jan;12(1):18-23. doi: 10.1111/1467-9280.00304. Erratum In: Psychol Sci 2001 Jul;12(4):352. PubMed 11294223 ↗
  • Uljarevic M, Hamilton A. Recognition of emotions in autism: a formal meta-analysis. J Autism Dev Disord. 2013 Jul;43(7):1517-26. doi: 10.1007/s10803-012-1695-5. PubMed 23114566 ↗
  • Kennedy DP, Adolphs R. The social brain in psychiatric and neurological disorders. Trends Cogn Sci. 2012 Nov;16(11):559-72. doi: 10.1016/j.tics.2012.09.006. Epub 2012 Oct 6. PubMed 23047070 ↗
  • Morya E, Monte-Silva K, Bikson M, Esmaeilpour Z, Biazoli CE Jr, Fonseca A, Bocci T, Farzan F, Chatterjee R, Hausdorff JM, da Silva Machado DG, Brunoni AR, Mezger E, Moscaleski LA, Pegado R, Sato JR, Caetano MS, Sa KN, Tanaka C, Li LM, Baptista AF, Okano AH. Beyond the target area: an integrative view of tDCS-induced motor cortex modulation in patients and athletes. J Neuroeng Rehabil. 2019 Nov 15;16(1):141. doi: 10.1186/s12984-019-0581-1. PubMed 31730494 ↗
  • Ferrucci R, Priori A. Transcranial cerebellar direct current stimulation (tcDCS): motor control, cognition, learning and emotions. Neuroimage. 2014 Jan 15;85 Pt 3:918-23. doi: 10.1016/j.neuroimage.2013.04.122. Epub 2013 May 9. PubMed 23664951 ↗
  • O'Reilly JX, Beckmann CF, Tomassini V, Ramnani N, Johansen-Berg H. Distinct and overlapping functional zones in the cerebellum defined by resting state functional connectivity. Cereb Cortex. 2010 Apr;20(4):953-65. doi: 10.1093/cercor/bhp157. Epub 2009 Aug 14. PubMed 19684249 ↗
  • van Dun K, Bodranghien FC, Marien P, Manto MU. tDCS of the Cerebellum: Where Do We Stand in 2016? Technical Issues and Critical Review of the Literature. Front Hum Neurosci. 2016 May 11;10:199. doi: 10.3389/fnhum.2016.00199. eCollection 2016. PubMed 27242469 ↗
  • Oldrati V, Schutter DJLG. Targeting the Human Cerebellum with Transcranial Direct Current Stimulation to Modulate Behavior: a Meta-Analysis. Cerebellum. 2018 Apr;17(2):228-236. doi: 10.1007/s12311-017-0877-2. PubMed 28786014 ↗
  • Santiesteban I, Banissy MJ, Catmur C, Bird G. Enhancing social ability by stimulating right temporoparietal junction. Curr Biol. 2012 Dec 4;22(23):2274-7. doi: 10.1016/j.cub.2012.10.018. Epub 2012 Nov 1. PubMed 23122848 ↗
  • Hogeveen J, Obhi SS, Banissy MJ, Santiesteban I, Press C, Catmur C, Bird G. Task-dependent and distinct roles of the temporoparietal junction and inferior frontal cortex in the control of imitation. Soc Cogn Affect Neurosci. 2015 Jul;10(7):1003-9. doi: 10.1093/scan/nsu148. Epub 2014 Dec 5. PubMed 25481003 ↗
  • Rogers TD, McKimm E, Dickson PE, Goldowitz D, Blaha CD, Mittleman G. Is autism a disease of the cerebellum? An integration of clinical and pre-clinical research. Front Syst Neurosci. 2013 May 10;7:15. doi: 10.3389/fnsys.2013.00015. eCollection 2013. PubMed 23717269 ↗
  • Yeung MK, Lee TL, Chan AS. Impaired Recognition of Negative Facial Expressions is Partly Related to Facial Perception Deficits in Adolescents with High-Functioning Autism Spectrum Disorder. J Autism Dev Disord. 2020 May;50(5):1596-1606. doi: 10.1007/s10803-019-03915-3. PubMed 30758693 ↗

Study documents

  • Protocol and informed consent form · Oct 3, 2022

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: Undecided

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Apr 7, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05781412
Lead sponsor
Beatriz Catoira
Collaborators
Vrije Universiteit Brussel, University Ghent, Universitair Ziekenhuis Brussel
Responsible party
Beatriz Catoira (MsC, PhD student at the Vrije Universiteit Brussel, Vrije Universiteit Brussel) — Sponsor-investigator
First posted
Mar 23, 2023
Start date
May 24, 2022
Primary completion
Mar 1, 2024 (estimated)
Completion
Oct 30, 2024 (estimated)
Last update
Apr 7, 2023

Study contacts

Beatriz Catoira, Msc
Contact
Beatriz.catoira@vub.be
+32456267472
Nathalie Vanderbruggen
Contact
Nathalie.Vanderbruggen@uzbrussel.be
02/ 4763599

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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