Autism Spectrum DisorderNCT02813564
Cognitive Training in Children With ASD
A study testing Cognitive Assessment & Video-game INtervention Solutions (CAVINS) in people with Autism Spectrum Disorder, run by McMaster University at 1 site in Canada.
Trial summary
Plasticity refers to susceptibility of an organism to change. Cognitive training is an intervention approach based on the notion of plasticity. It entails the repeated exercise of a set of higher-order cognitive abilities over several weeks after which performance gains are expected on the trained as well as untrained… Read more about this study
- Who is it for?
- Ages 3 to 7 years
- Conditions the study is for
- Autism Spectrum Disorder
- What is being tested?
- Cognitive Assessment & Video-game INtervention Solutions (CAVINS)
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 50 participants
- Where
- 1 siteCanada
- Study dates
- 2 Mar 2018to 1 Mar 2020
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 3 to 7 years
- All sexes
- No healthy volunteers
- Child
Who may be able to join
- A diagnosis of ASD
- Age between 3-7 years
Who cannot join
- History of head injury
- Current medical problems that would preclude their participation in the study
Trial locations and contacts
1 site in 1 country.
Canada1 site, 1 recruiting
- Recruiting
McMaster University
Hamilton, Ontario, L8S 4K1
Diana Tajik-Parvinchi, PhD, 9056171631, dparvinchi@mcmaster.ca
Geoffrey Hall, PhD, 9055259140 ext. 23033, hallg@mcmaster.ca
About this study
Official title: Targeted Cognitive Training: Assessment and Plasticity in Autism Spectrum Disorder (ASD)
Plasticity refers to susceptibility of an organism to change. Cognitive training is an intervention approach based on the notion of plasticity. It entails the repeated exercise of a set of higher-order cognitive abilities over several weeks after which performance gains are expected on the trained as well as untrained tasks. Cognitive training has produced successful results in various clinical groups, but its benefits have not been explored in Autism Spectrum Disorder (ASD). The present study will develop a software-based training program tailored to the cognitive deficits in ASD. The investigators will also examine possible training-induced functional changes within the brain using functional Magnetic Resonance Imaging (fMRI). Fifty children with ASD 3-7 years will be recruited and randomly assigned to the control (n=25) or the training group (n=25). A subgroup of these samples will carry out the response inhibition and set-shifting tasks in the fMRI scanner. The study will consist of a pre-post design and a four-month follow up. Repeated measures Analysis of Variance (ANOVA) will be carried out with group (training, control) as the between subjects factor and Time (pre- post-training, follow-up) as the within subjects factor to identify training induced cognitive improvements. To determine training-induced biological changes within the brain, activity maps associated with response inhibition and set-shifting at pre-training and post-training sessions will be entered into a group ANOVA and contrasted for differences within- and between groups.
Read the detailed description
- INTRODUCTION Autism Spectrum Disorder (ASD) is a severe neurodevelopmental disorder characterized by deficits of social and communicative skills, restricted set of interests, activities and/or repetitive behaviours that are typically observed in early childhood. The prevalence of ASD is about 1 in 68 children and it is the fastest growing developmental disability. The cost of diagnosing and treating ASD is estimated to be around $236-262 billion annually.
Plasticity broadly refers to the susceptibility of an organism to change. The human brain shows incredible plastic capacity. Multiple neuronal networks can sustain the same cognitive function (a mental ability) with different systems supporting the same function in different individuals. This "many-to-one" structure-function relationship is one form of plasticity. Examining neural networks responsible for a cognitive process in different individuals can provide insight into the plastic capacity of that process.
Cognitive training is centered on the notion of plasticity. It entails the repeated exercise of a specific cognitive process (or multiple processes) over several weeks, after which performance gains are expected on the trained task as well as various untrained tasks that directly or indirectly involve the targeted cognitive process(s). The generalization of performance gains to untrained tasks is termed "transfer" and is essential to the efficacy of the training. Cognitive training has been used to remediate deficits in adults with strokes, multiple sclerosis, Schizophrenia, children with working memory deficits , children with attention deficit hyperactivity disorder (ADHD), healthy pre-kindergarten children, as well as to enhance cognitive performance in healthy young adults, and healthy older adults. Yet, the benefits of this intervention for children with ASD have received relatively little attention.
Recent research indicates that disrupted patterns of cortical development in ASD may lead to its clinical manifestation. More specifically earlier reports have shown a pattern of reduced long-range cortical connectivity and increased localized functional connectivity in ASD. This pattern has been recently verified using highly stringent imaging analysis methods. This altered functional connectivity may be especially disruptive to cognitive functions that demand integrative information processing such as executive functioning (higher order cognitive functions that control other cognitive processes eg. Conscious control of thought and action), theory of mind, face processing, language and communication, all of which have been previously established as impaired processes in ASD.
Moreover, approximately 50-70% of children with ASD are diagnosed with intellectual disability, which manifests as cognitive impairments. Intellectual disability has been shown to place children with ASD at risk for a "low functioning" trajectory throughout life and at risk for having more severe symptoms. Cognitive training has been shown to enhance executive functions underlying intellectual capacity such as working memory, fluid intelligence, executive attention as well as academic achievement . Cognitive training delivered at an early age may strengthen the processes that are important for intellectual capacity and therefore improve the clinical trajectory of ASD.
Although these recent theories of ASD point to deficits of executive functions, this field is currently lacking an evidence-based intervention, which directly tackles deficits of executive functions. The existing interventions for ASD (mainly consisting of behavioural skills development) are complex in administration and require highly trained staff. As a result, these approaches have placed an extremely high demand on clinics and practitioners creating long wait lists. These approaches have poor accessibility for many families and schools. The most striking and consistent limitation of the existing interventions is an apparent lack of transfer of learned skills to other conditions and contexts. Meaning, new learned behaviours are limited to the specific context in which they are trained. Generalization to other tasks and contexts is a distinguishing strength of cognitive training, this approach can be used at home via a personal computer providing more accessibility, and it can be used in conjunction with the behavioral skills development to improve the child's receptiveness to learning. Thus, cognitive training may have the potential to provide promising results in the areas where the existing treatments have shown limitations.
The present project intends to first develop a software based cognitive training program tailored to cognitive needs of children with ASD (Cognitive Assessment and Video-game Intervention Solutions, CAVINS)(phase 1) and then examine the program's efficacy through clinical trials and imaging of the brain (Clinical Trials and Imaging Phases). The imaging component will provide the opportunity to learn about the neural framework of some of the targeted cognitive processes as well as training-induced changes in each process. This intervention will target several functions implicated in ASD such as the ability to shift attention to a different aspect of the task, inhibitory control, working memory, planning, reasoning, selective attention, and face processing. During the imaging phase, as our first step, the investigators will use functional Magnetic Resonance Imaging (fMRI) to identify training-induced changes in the brain associated with set-shifting and response inhibition.
Response inhibition consists of two distinct forms, the restraint of a response and the cancellation of a response. Preventing a response from being initiated characterizes the restraint process whereas termination of a response that is already underway represents the cancellation process. Additionally the ability to monitor, detect and adjust behaviour following an erroneous response represents error processing and is an inherent component of response inhibition. Difficulties of response inhibition have been hypothesized to be responsible for the stereotyped and repetitive behaviour observed in ASD, predictive of "theory of mind" performances in preschoolers, and associated with altered connectivity between the frontal cortex and the striatal and parietal regions as well as volume differences and altered development of the striatum. Similarly, lower accuracy on set-shifting tasks is associated with reduced activation in frontal, striatal, and parietal cortexes and is hypothesized to be responsible for mental inflexibility, restricted and repetitive behaviours observed in ASD.
Several imaging studies have demonstrated modifications in the underlying neural network following completion of cognitive training in healthy adults. However, similar studies in children are very scarce. Currently, there are no studies that have examined training-induced changes within the brain in children with ASD. Findings from the present project will reveal benefits of cognitive training in ASD, generalization and persistence of potential benefits, identify biological changes associated with training, and provide much needed insight into the plasticity of the systems supporting two cognitive functions implicated in ASD.
- Conditions
- Autism Spectrum Disorder
- Being tested
- Cognitive Assessment & Video-game INtervention Solutions (CAVINS)
- Keywords
- Autism, Cognitive Training, Brain, fMRI
- Medical subject headings
- Autism Spectrum Disorder, Autistic Disorder
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Cognitive Assessment & Video-game INtervention Solutions (CAVINS)Behavioural
This is a computerized "video-game" like intervention. The participants will exercise/strengthen the cognitive (mental) deficits that may be responsible for symptom profiles such as socialization impairments, academic disabilities, and repetitive behaviour for several weeks. This program will stimulate communication between brain regions that make up an information processing neural network in order to promote proper network development.
| Study group | Role | What they receive |
|---|---|---|
| Training group | Experimental | This group of children will receive the software based intervention program (CAVINS) and will train at home during the training phase. Receives: Behavioral: Cognitive Assessment & Video-game INtervention Solutions (CAVINS) |
| Control group | No intervention | This group of children will play video-games-as-usual and return in about 3 weeks for their next assessment appointment. |
| fMRI-training group | Experimental | This sub-group of children from the "Training group" will carry out two of the tasks in the fMRI scanner during the baseline appointment. They will then go home and train on CAVINS (the intervention) during the training phase. Receives: Behavioral: Cognitive Assessment & Video-game INtervention Solutions (CAVINS) |
| fMRI-Control group | No intervention | This sub-group of children from the "Control group" will carry out two of the tasks in the fMRI scanner during the baseline appointment. They will then go home and play video-games-as-usual until their next assessment appointment (after about 3 weeks). |
What is being measured
The primary outcome is the main question the study is designed to answer.
The Dimensional Change Card Sorting task (DCCS): Measuring change in mental flexibility
This is a set-shifting task
Measured: Through study completion, an average of 1 year
The Go/NoGo task: Measuring change in inhibitory control
This is a response inhibition task
Measured: Through study completion, an average of 1 year
The preschool version of the Behavior Rating Inventory of Executive Function (BRIEF-P): Measuring change in everyday executive functions
This questionnaire captures real life executive control abilities of children
Measured: Through study completion, an average of 1 year
Flanker Test: Measuring change in selective attention
This task measures the ability to pay attention to a given aspect of a task and ignore distractors
Measured: Through study completion, an average of 1 year
Aberrant Behaviour Checklist (ABC): Measuring change in behaviour
This is a rating scale. A person who knows the participant well completes it. This scale will captures behavioural symptom areas. The informant rates the participant on a scale from 0 (not at all a problem) to 3 (the problem is severe in degree).
Measured: Through study completion, an average of 1 year
Secondary outcomes (4)
Tower of Hanoi: Measuring change in planning ability
measures planning and organizational abilities
Measured: Through study completion, an average of 1 year
The Stroop-like day-night: Measuring change in inhibitory control
This task has been used to measure working memory + inhibition
Measured: Through study completion, an average of 1 year
Sequential Order (SO): Measuring change in reasoning ability
A measure of children's fluid reasoning
Measured: Through study completion, an average of 1 year
The Peabody Picture Vocabulary Test (PPVT): Measuring change in communication abilities
A language assessment scale
Measured: Through study completion, an average of 1 year
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted27 Jun 2016 (estimated)
- Study start2 Mar 2018
- Primary completion1 Mar 2019 (estimated)
- Study completion1 Mar 2020 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (21)Papers the sponsor has linked to this study.
- Other trials for Autism Spectrum DisorderStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind
- Who is masked
- Participant
- Enrolment
- 50 participants (estimated)
Sponsor and investigators
- Lead sponsor
- McMaster University
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Geoffrey Hall, PhD, Principal investigator, McMaster UniversityTerry Bennett, MD, Principal investigator, McMaster UniversityStelios Georgiades, PhD, Principal investigator, McMaster University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT02813564
- Sponsor's protocol ID
- 0323
- Status last verified
- Aug 2018
- First submitted
- 18 Dec 2015
- Last updated
- 21 Aug 2018
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
Aron AR, Poldrack RA. Cortical and subcortical contributions to Stop signal response inhibition: role of the subthalamic nucleus. J Neurosci. 2006 Mar 1;26(9):2424-33. doi: 10.1523/JNEUROSCI.4682-05.2006.
PubMed 16510720Buschkuehl M, Jaeggi SM, Hutchison S, Perrig-Chiello P, Dapp C, Muller M, Breil F, Hoppeler H, Perrig WJ. Impact of working memory training on memory performance in old-old adults. Psychol Aging. 2008 Dec;23(4):743-53. doi: 10.1037/a0014342.
PubMed 19140646Chein JM, Morrison AB. Expanding the mind's workspace: training and transfer effects with a complex working memory span task. Psychon Bull Rev. 2010 Apr;17(2):193-9. doi: 10.3758/PBR.17.2.193.
PubMed 20382919Chevrier AD, Noseworthy MD, Schachar R. Dissociation of response inhibition and performance monitoring in the stop signal task using event-related fMRI. Hum Brain Mapp. 2007 Dec;28(12):1347-58. doi: 10.1002/hbm.20355.
PubMed 17274022Cox RW. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res. 1996 Jun;29(3):162-73. doi: 10.1006/cbmr.1996.0014.
PubMed 8812068Dahlin E, Nyberg L, Backman L, Neely AS. Plasticity of executive functioning in young and older adults: immediate training gains, transfer, and long-term maintenance. Psychol Aging. 2008 Dec;23(4):720-30. doi: 10.1037/a0014296.
PubMed 19140643Hoekzema E, Carmona S, Ramos-Quiroga JA, Barba E, Bielsa A, Tremols V, Rovira M, Soliva JC, Casas M, Bulbena A, Tobena A, Vilarroya O. Training-induced neuroanatomical plasticity in ADHD: a tensor-based morphometric study. Hum Brain Mapp. 2011 Oct;32(10):1741-9. doi: 10.1002/hbm.21143. Epub 2011 Mar 1.
PubMed 21365715Holmes J, Gathercole SE, Dunning DL. Adaptive training leads to sustained enhancement of poor working memory in children. Dev Sci. 2009 Jul;12(4):F9-15. doi: 10.1111/j.1467-7687.2009.00848.x.
PubMed 19635074Jaeggi SM, Buschkuehl M, Jonides J, Perrig WJ. Improving fluid intelligence with training on working memory. Proc Natl Acad Sci U S A. 2008 May 13;105(19):6829-33. doi: 10.1073/pnas.0801268105. Epub 2008 Apr 28.
PubMed 18443283Klingberg T, Fernell E, Olesen PJ, Johnson M, Gustafsson P, Dahlstrom K, Gillberg CG, Forssberg H, Westerberg H. Computerized training of working memory in children with ADHD--a randomized, controlled trial. J Am Acad Child Adolesc Psychiatry. 2005 Feb;44(2):177-86. doi: 10.1097/00004583-200502000-00010.
PubMed 15689731MEZZACAPPA, E. & BUCKNER, J. C. 2010. Working memory training for children with attention problems or hyperactivity: A school-based pilot study. School Mental Health, 2, 202-208.
Noppeney U, Friston KJ, Price CJ. Degenerate neuronal systems sustaining cognitive functions. J Anat. 2004 Dec;205(6):433-42. doi: 10.1111/j.0021-8782.2004.00343.x.
PubMed 15610392Richmond LL, Morrison AB, Chein JM, Olson IR. Working memory training and transfer in older adults. Psychol Aging. 2011 Dec;26(4):813-22. doi: 10.1037/a0023631. Epub 2011 Jun 27.
PubMed 21707176Thaler NS, Allen DN, Park BS, McMurray JC, Mayfield J. Attention processing abnormalities in children with traumatic brain injury and attention-deficit/hyperactivity disorder: differential impairment of component processes. J Clin Exp Neuropsychol. 2010 Nov;32(9):929-36. doi: 10.1080/13803391003596488. Epub 2010 Apr 16.
PubMed 20401771Thorell LB, Lindqvist S, Bergman Nutley S, Bohlin G, Klingberg T. Training and transfer effects of executive functions in preschool children. Dev Sci. 2009 Jan;12(1):106-13. doi: 10.1111/j.1467-7687.2008.00745.x.
PubMed 19120418
Study at a glance
From the registry record, last updated by the sponsor on 21 Aug 2018. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Targeted Cognitive Training: Assessment and Plasticity in Autism Spectrum Disorder (ASD)
- ClinicalTrials.gov ID
- NCT02813564
- Acronym / sponsor ID
- 0323
- Conditions
- Autism Spectrum Disorder
- Keywords
- Autism, Cognitive Training, Brain, fMRI
- Study type
- Interventional
- Recruitment status
- Unknown status
- Enrolment
- 50 participants (estimated)
- Lead sponsor
- McMaster UniversityUniversity, hospital or other
- Study start
- 2 Mar 2018 (actual)
- Primary completion
- 1 Mar 2019 (estimated)
- Study completion
- 1 Mar 2020 (estimated)
- First posted
- 27 Jun 2016 (estimated)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Plasticity refers to susceptibility of an organism to change. Cognitive training is an intervention approach based on the notion of plasticity. It entails the repeated exercise of a set of higher-order cognitive abilities over several weeks after which performance gains are expected on the trained as well as untrained tasks. Cognitive training has produced successful results in various clinical groups, but its benefits have not been explored in Autism Spectrum Disorder (ASD). The present study will develop a software-based training program tailored to the cognitive deficits in ASD. The investigators will also examine possible training-induced functional changes within the brain using functional Magnetic Resonance Imaging (fMRI). Fifty children with ASD 3-7 years will be recruited and randomly assigned to the control (n=25) or the training group (n=25). A subgroup of these samples will carry out the response inhibition and set-shifting tasks in the fMRI scanner. The study will consist of a pre-post design and a four-month follow up. Repeated measures Analysis of Variance (ANOVA) will be carried out with group (training, control) as the between subjects factor and Time (pre- post-training, follow-up) as the within subjects factor to identify training induced cognitive improvements. To determine training-induced biological changes within the brain, activity maps associated with response inhibition and set-shifting at pre-training and post-training sessions will be entered into a group ANOVA and contrasted for differences within- and between groups.
Detailed description
- INTRODUCTION Autism Spectrum Disorder (ASD) is a severe neurodevelopmental disorder characterized by deficits of social and communicative skills, restricted set of interests, activities and/or repetitive behaviours that are typically observed in early childhood. The prevalence of ASD is about 1 in 68 children and it is the fastest growing developmental disability. The cost of diagnosing and treating ASD is estimated to be around $236-262 billion annually.
Plasticity broadly refers to the susceptibility of an organism to change. The human brain shows incredible plastic capacity. Multiple neuronal networks can sustain the same cognitive function (a mental ability) with different systems supporting the same function in different individuals. This "many-to-one" structure-function relationship is one form of plasticity. Examining neural networks responsible for a cognitive process in different individuals can provide insight into the plastic capacity of that process.
Cognitive training is centered on the notion of plasticity. It entails the repeated exercise of a specific cognitive process (or multiple processes) over several weeks, after which performance gains are expected on the trained task as well as various untrained tasks that directly or indirectly involve the targeted cognitive process(s). The generalization of performance gains to untrained tasks is termed "transfer" and is essential to the efficacy of the training. Cognitive training has been used to remediate deficits in adults with strokes, multiple sclerosis, Schizophrenia, children with working memory deficits , children with attention deficit hyperactivity disorder (ADHD), healthy pre-kindergarten children, as well as to enhance cognitive performance in healthy young adults, and healthy older adults. Yet, the benefits of this intervention for children with ASD have received relatively little attention.
Recent research indicates that disrupted patterns of cortical development in ASD may lead to its clinical manifestation. More specifically earlier reports have shown a pattern of reduced long-range cortical connectivity and increased localized functional connectivity in ASD. This pattern has been recently verified using highly stringent imaging analysis methods. This altered functional connectivity may be especially disruptive to cognitive functions that demand integrative information processing such as executive functioning (higher order cognitive functions that control other cognitive processes eg. Conscious control of thought and action), theory of mind, face processing, language and communication, all of which have been previously established as impaired processes in ASD.
Moreover, approximately 50-70% of children with ASD are diagnosed with intellectual disability, which manifests as cognitive impairments. Intellectual disability has been shown to place children with ASD at risk for a "low functioning" trajectory throughout life and at risk for having more severe symptoms. Cognitive training has been shown to enhance executive functions underlying intellectual capacity such as working memory, fluid intelligence, executive attention as well as academic achievement . Cognitive training delivered at an early age may strengthen the processes that are important for intellectual capacity and therefore improve the clinical trajectory of ASD.
Although these recent theories of ASD point to deficits of executive functions, this field is currently lacking an evidence-based intervention, which directly tackles deficits of executive functions. The existing interventions for ASD (mainly consisting of behavioural skills development) are complex in administration and require highly trained staff. As a result, these approaches have placed an extremely high demand on clinics and practitioners creating long wait lists. These approaches have poor accessibility for many families and schools. The most striking and consistent limitation of the existing interventions is an apparent lack of transfer of learned skills to other conditions and contexts. Meaning, new learned behaviours are limited to the specific context in which they are trained. Generalization to other tasks and contexts is a distinguishing strength of cognitive training, this approach can be used at home via a personal computer providing more accessibility, and it can be used in conjunction with the behavioral skills development to improve the child's receptiveness to learning. Thus, cognitive training may have the potential to provide promising results in the areas where the existing treatments have shown limitations.
The present project intends to first develop a software based cognitive training program tailored to cognitive needs of children with ASD (Cognitive Assessment and Video-game Intervention Solutions, CAVINS)(phase 1) and then examine the program's efficacy through clinical trials and imaging of the brain (Clinical Trials and Imaging Phases). The imaging component will provide the opportunity to learn about the neural framework of some of the targeted cognitive processes as well as training-induced changes in each process. This intervention will target several functions implicated in ASD such as the ability to shift attention to a different aspect of the task, inhibitory control, working memory, planning, reasoning, selective attention, and face processing. During the imaging phase, as our first step, the investigators will use functional Magnetic Resonance Imaging (fMRI) to identify training-induced changes in the brain associated with set-shifting and response inhibition.
Response inhibition consists of two distinct forms, the restraint of a response and the cancellation of a response. Preventing a response from being initiated characterizes the restraint process whereas termination of a response that is already underway represents the cancellation process. Additionally the ability to monitor, detect and adjust behaviour following an erroneous response represents error processing and is an inherent component of response inhibition. Difficulties of response inhibition have been hypothesized to be responsible for the stereotyped and repetitive behaviour observed in ASD, predictive of "theory of mind" performances in preschoolers, and associated with altered connectivity between the frontal cortex and the striatal and parietal regions as well as volume differences and altered development of the striatum. Similarly, lower accuracy on set-shifting tasks is associated with reduced activation in frontal, striatal, and parietal cortexes and is hypothesized to be responsible for mental inflexibility, restricted and repetitive behaviours observed in ASD.
Several imaging studies have demonstrated modifications in the underlying neural network following completion of cognitive training in healthy adults. However, similar studies in children are very scarce. Currently, there are no studies that have examined training-induced changes within the brain in children with ASD. Findings from the present project will reveal benefits of cognitive training in ASD, generalization and persistence of potential benefits, identify biological changes associated with training, and provide much needed insight into the plasticity of the systems supporting two cognitive functions implicated in ASD.
Study design
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (participant)
- Number of arms
- 4
| Arm | Type | Receives |
|---|---|---|
| Training group | Experimental | Behavioral: Cognitive Assessment & Video-game INtervention Solutions (CAVINS)This group of children will receive the software based intervention program (CAVINS) and will train at home during the training phase. |
| Control group | No intervention | –This group of children will play video-games-as-usual and return in about 3 weeks for their next assessment appointment. |
| fMRI-training group | Experimental | Behavioral: Cognitive Assessment & Video-game INtervention Solutions (CAVINS)This sub-group of children from the "Training group" will carry out two of the tasks in the fMRI scanner during the baseline appointment. They will then go home and train on CAVINS (the intervention) during the training phase. |
| fMRI-Control group | No intervention | –This sub-group of children from the "Control group" will carry out two of the tasks in the fMRI scanner during the baseline appointment. They will then go home and play video-games-as-usual until their next assessment appointment (after about 3 weeks). |
Who may qualify
- Ages
- 3 to 7 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child
Key inclusion criteria (2 listed)
- A diagnosis of ASD
- Age between 3-7 years
Key exclusion criteria (2 listed)
- History of head injury
- Current medical problems that would preclude their participation in the study
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Cognitive Assessment & Video-game INtervention Solutions (CAVINS)This is a computerized "video-game" like intervention. The participants will exercise/strengthen the cognitive (mental) deficits that may be responsible for symptom profiles such as socialization impairments, academic disabilities, and repetitive behaviour for several weeks. This program will stimulate communication between brain regions that make up an information processing neural network in order to promote proper network development. | Behavioural | Training group, fMRI-training group |
Primary outcome
The Dimensional Change Card Sorting task (DCCS): Measuring change in mental flexibility
Time frame: Through study completion, an average of 1 year
This is a set-shifting task
The Go/NoGo task: Measuring change in inhibitory control
Time frame: Through study completion, an average of 1 year
This is a response inhibition task
The preschool version of the Behavior Rating Inventory of Executive Function (BRIEF-P): Measuring change in everyday executive functions
Time frame: Through study completion, an average of 1 year
This questionnaire captures real life executive control abilities of children
Flanker Test: Measuring change in selective attention
Time frame: Through study completion, an average of 1 year
This task measures the ability to pay attention to a given aspect of a task and ignore distractors
Aberrant Behaviour Checklist (ABC): Measuring change in behaviour
Time frame: Through study completion, an average of 1 year
This is a rating scale. A person who knows the participant well completes it. This scale will captures behavioural symptom areas. The informant rates the participant on a scale from 0 (not at all a problem) to 3 (the problem is severe in degree).
4 secondary outcomes
Tower of Hanoi: Measuring change in planning ability
Time frame: Through study completion, an average of 1 year
The Stroop-like day-night: Measuring change in inhibitory control
Time frame: Through study completion, an average of 1 year
Sequential Order (SO): Measuring change in reasoning ability
Time frame: Through study completion, an average of 1 year
The Peabody Picture Vocabulary Test (PPVT): Measuring change in communication abilities
Time frame: Through study completion, an average of 1 year
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 21 Aug 2018.
- Background: PubMed 16510720Aron AR, Poldrack RA. Cortical and subcortical contributions to Stop signal response inhibition: role of the subthalamic nucleus. J Neurosci. 2006 Mar 1;26(9):2424-33. doi: 10.1523/JNEUROSCI.4682-05.2006.
- Background: PubMed 19140646Buschkuehl M, Jaeggi SM, Hutchison S, Perrig-Chiello P, Dapp C, Muller M, Breil F, Hoppeler H, Perrig WJ. Impact of working memory training on memory performance in old-old adults. Psychol Aging. 2008 Dec;23(4):743-53. doi: 10.1037/a0014342.
- Background: PubMed 20382919Chein JM, Morrison AB. Expanding the mind's workspace: training and transfer effects with a complex working memory span task. Psychon Bull Rev. 2010 Apr;17(2):193-9. doi: 10.3758/PBR.17.2.193.
- Background: PubMed 17274022Chevrier AD, Noseworthy MD, Schachar R. Dissociation of response inhibition and performance monitoring in the stop signal task using event-related fMRI. Hum Brain Mapp. 2007 Dec;28(12):1347-58. doi: 10.1002/hbm.20355.
- Background: PubMed 8812068Cox RW. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res. 1996 Jun;29(3):162-73. doi: 10.1006/cbmr.1996.0014.
- Background: PubMed 19140643Dahlin E, Nyberg L, Backman L, Neely AS. Plasticity of executive functioning in young and older adults: immediate training gains, transfer, and long-term maintenance. Psychol Aging. 2008 Dec;23(4):720-30. doi: 10.1037/a0014296.
- Background: PubMed 21365715Hoekzema E, Carmona S, Ramos-Quiroga JA, Barba E, Bielsa A, Tremols V, Rovira M, Soliva JC, Casas M, Bulbena A, Tobena A, Vilarroya O. Training-induced neuroanatomical plasticity in ADHD: a tensor-based morphometric study. Hum Brain Mapp. 2011 Oct;32(10):1741-9. doi: 10.1002/hbm.21143. Epub 2011 Mar 1.
- Background: PubMed 19635074Holmes J, Gathercole SE, Dunning DL. Adaptive training leads to sustained enhancement of poor working memory in children. Dev Sci. 2009 Jul;12(4):F9-15. doi: 10.1111/j.1467-7687.2009.00848.x.
- Background: PubMed 18443283Jaeggi SM, Buschkuehl M, Jonides J, Perrig WJ. Improving fluid intelligence with training on working memory. Proc Natl Acad Sci U S A. 2008 May 13;105(19):6829-33. doi: 10.1073/pnas.0801268105. Epub 2008 Apr 28.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Geoffrey Hall, PhD principal investigator
McMaster University
Terry Bennett, MD principal investigator
McMaster University
Stelios Georgiades, PhD principal investigator
McMaster University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Cognitive Assessment & Video-game INtervention Solutions (CAVINS) in people with Autism Spectrum Disorder, run by McMaster University at 1 site in Canada.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 21 Aug 2018. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Canada. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Diana Parvinchi, PhD (905-525-9140 ext. 24784, dparvinchi@mcmaster.ca), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
The Dimensional Change Card Sorting task (DCCS): Measuring change in mental flexibility (time frame: Through study completion, an average of 1 year). The study lists 5 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT02813564, which also lists 21 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 21 Aug 2018.