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Clinical Trials/NCT02823782
NCT02823782
Completed
N/A

MRI Investigations in Attention Deficit Hyperactivity Disorder (ADHD) and High Potential (HP) Children for a Better Therapeutic Approach

Hospices Civils de Lyon1 site in 1 country74 target enrollmentMay 2013
ConditionsADHD

Overview

Phase
N/A
Intervention
Not specified
Conditions
ADHD
Sponsor
Hospices Civils de Lyon
Enrollment
74
Locations
1
Primary Endpoint
Cortical gray matter (GM) volumes
Status
Completed
Last Updated
9 years ago

Overview

Brief Summary

Impulsivity and/or hyperactivity in children has become one of the main clinical symptom for consultation, among the most frequent, in general or pediatric medicine. Among the different clinical forms of instability, ADHD appears to be an especially disabling condition for the development of the child, both in psychomotor, cognitive, emotional and relational aspects. Further, a significant link between ADHD children and some children with High Potential (HP) is observed. HP children show overall ahead cognitive developments compared to children with the same age. In these children, as well as in children with ADHD, an attention vulnerability, psychomotor deficits are noted, as well as emotional and relational deficits that significantly contrasted with some of their cognitive skills. Regarding the HP, the hypothesis is that children with significantly heterogeneous results (Complex) to the Wechsler IV scales are affected by this shift, and hence, by the difficulty of a differential diagnosis with ADHD, unlike those whose intelligence quotient (IQ) results that are more homogeneous (Laminar).

The goal of this work was to study a population of 80 children aged from 8 to 12 years (20 subjects per group) to evaluate the functional and structural brain development by:

  • Functional magnetic resonance imaging (fMRI) acquisitions with cognitive stimulations, involving attention, working memory and semantic processing, and emotional stimulations,
  • fMRI acquisitions at rest (without activation),
  • diffusion tensor magnetic resonance imaging (DTI) acquisitions,
  • 3D anatomic acquisitions. Identification of developmental differences in certain cortical brain areas (eg, prefrontal vs parietal), white matter fiber bundles or functional networks preferentially used by one or other of these groups, will help to better understand this disease, and to improve the differential diagnosis in order to implement a more appropriate and personalized management of the patients via new therapeutic strategies.
Registry
clinicaltrials.gov
Start Date
May 2013
End Date
February 2015
Last Updated
9 years ago
Study Type
Interventional
Study Design
Parallel
Sex
All

Investigators

Responsible Party
Sponsor

Eligibility Criteria

Inclusion Criteria

  • Right-hand 4 groups :
  • Laminar HP : IQ \> 130 and difference between Verbal Comprehension Index (VCI) and Perceptual Reasoning Index (PRI) \< 9
  • Complex HP : IQ \> 130 and difference between VCI and PRI \>15
  • ADHD : 90 \< IQ \<110
  • Controls : 90 \< IQ \<110

Exclusion Criteria

  • Subjects with any psychiatric disorders except ADHD,
  • Subjects with known learning deficits (dyslexia, dysphasia...), attention deficits except for ADHD group
  • Subjects with claustrophobia or magnetic devices
  • Children with out both parental agreements

Outcomes

Primary Outcomes

Cortical gray matter (GM) volumes

Time Frame: Day 1

using the software VBM (Voxel Based Morphometry)

Functional MRI activity during cognitive tests

Time Frame: Day 1

using the software SPM (Statistical Parametric Mapping)

Functional connectivity in resting-state fMRI

Time Frame: Day 1

using the graph-theory methods

Subcortical gray matter (GM) volumes

Time Frame: Day 1

using the software VBM (Voxel Based Morphometry)

Functional MRI activity during emotional tests

Time Frame: Day 1

using the software SPM (Statistical Parametric Mapping)

Microstructural connectivity of white matter (WM) fiber bundles

Time Frame: Day 1

measured by diffusion tensor imaging. Diffusion metrics maps are compared using the software TBSS (Track Based Spatial Statistics),

Study Sites (1)

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