Structural and Functional Connectivity of Frontostriatal and Frontoparietal Networks as Endophenotypes of ADHD
NCT ID: NCT01682915
Last Updated: 2021-09-02
Study Results
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Basic Information
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COMPLETED
240 participants
OBSERVATIONAL
2012-08-01
2015-07-31
Brief Summary
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Specific Aims:
1. to validate the executive functions, visuospatial memory, and structural and functional connectivity in frontostriatal, and frontoparietal circuitries as effective neurocognitive endophenotypes;
2. to correlate the data from structural and functional connectivity, neuropsychology, and ADHD core symptoms stratifying by the presence of ADHD, proband-unaffected sibling dyads, and the presence of DAT1 variant; and
3. To investigate reported candidate genes, in addition to DAT1 variant, related to dopamine and noradrenergic neurotransmitter systems in the association with neurocognitive endophenotypes such as DRD1, DRD2, DRD4, DRD5, DBH, MAO-A, ADRA2A, ADRA2C, NET, and COMT.
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Detailed Description
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The assessments include psychiatric interviews, self-administered questionnaires (CBCL and SNAP-IV for ADHD and behavioral problems; the SAICA for school and social function), neurocognitive assessments (WISC-III-R or WAIS-III for intelligence, Conner's CPT for sustained attention, inhibition, and vigilance, CANTAB for executive functions and visuo-spatial memory), and MRI assessments (Structural MRI, DSI and rsfMRI).
Brain Imaging: (1) Structural MRI (T1- and T2-weighted images), DSI and rsfMRI data will be acquired on a 3T MRI system with a 32-channel head coil. DSI employs a pulsed-gradient spin-echo echo planar imaging (EPI) sequence by applying 102 diffusion gradient vectors and the maximum diffusion sensitivity = 4000 s/mm2, and rsfMRI is a 6-minute scan using a gradient-echo EPI sequence with 180 volumes. (2) Structural connectivity analysis: DSI tractography will be performed using in-house software (DSI studio, http://dsi-studio.labsolver.org/Home). Tracts-of-interest in the frontostriatal circuit and the frontoparietal circuit will be identified, and tract-specific analysis will be used to analyze the microstructural integrity along individual tract bundles. (3) Functional connectivity analysis: SPM8 program and in-house MATLAB codes will be used for analyses of rsfMRI data. Region-of-interests (ROIs) will be placed in the nodes of the corresponding circuits according to an anatomical template (WFU\_PickAtlas 3.03). These ROIs will serve for tract determination in the tractography procedure and for seed regions in which BOLD signals are extracted for regression analysis among nodes.
Conditions
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Study Design
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OTHER
OTHER
Study Groups
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Group 1: ADHD+DAT1, Probands
30 ADHD probands with DAT1 variants
No interventions assigned to this group
Group 2: ADHD+DAT1, Unaffected sibling
30 same-sex unaffected siblings of Group 1
No interventions assigned to this group
Group 3: ADHD Drug-naïve, Probands
30 ADHD probands without DAT1 gene variants, who were age-, sex-, and IQ-matched to Group 1
No interventions assigned to this group
Group 4: ADHD Drug-naïve, unaffected sibling
30 same-sex unaffected siblings of Group 3
No interventions assigned to this group
Matched controls
30 age-, sex- and IQ-matched TD controls for each of 4 groups
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* ADHD drug-naïve groups: Subjects aged 12-20, who have clinical diagnosis of ADHD according to the DSM-IV diagnostic criteria, who do not have risk alleles of DAT1 gene, who have the same-sex unaffected siblings and who have never been treated by medication for treating ADHD.
Exclusion Criteria
12 Years
20 Years
ALL
No
Sponsors
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National Taiwan University Hospital
OTHER
Responsible Party
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Statistical Center, NTUHCTC
Susan Shur-Fen Gau
Locations
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National Taiwan Univeristy Hospital
Taipei, , Taiwan
Countries
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References
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Lin HY, Kessler D, Tseng WI, Gau SS. Increased Functional Segregation Related to the Salience Network in Unaffected Siblings of Youths With Attention-Deficit/Hyperactivity Disorder. J Am Acad Child Adolesc Psychiatry. 2021 Jan;60(1):152-165. doi: 10.1016/j.jaac.2019.11.012. Epub 2019 Nov 26.
Chiang HL, Hsu YC, Shang CY, Tseng WI, Gau SS. White matter endophenotype candidates for ADHD: a diffusion imaging tractography study with sibling design. Psychol Med. 2020 May;50(7):1203-1213. doi: 10.1017/S0033291719001120. Epub 2019 May 22.
Other Identifiers
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201204071RIC
Identifier Type: -
Identifier Source: org_study_id
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