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Resting state functional MRI is widely used for studying brain functional networks. However, in-scanner head movement and other non-neuronal noise can disproportionately bias connectivity estimates, despite various preprocessing efforts. To address these issues, the technique combining data acquisition with multiecho (ME) echo planar imaging and analysis with spatial independent component analysis (ICA), called ME-ICA, has been develop to distinguish BOLD (neuronal) and non-BOLD (artifactual) components based on linear echo-time dependence of signals, and has been demonstrated to successfully remove non-neuronal confounds. Nonetheless, such research approach has never been applied in psychiatric populations. The study aims to fill in the gap as shown in the following.
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The investigators plan to recruit 80 participants (40 adults with ADHD, 40 healthy control), without current and past history of any systemic physical illness, neither any major psychiatric disorder other than ADHD. All the participants will receive psychiatric interviews (The Chinese Version of the Kiddie Epidemiologic version of the Schedule for Affective Disorders and Schizophrenia, K-SADS-E). They will receive the Wechsler Adult Intelligence Scale-3rd edition(WAIS-III) first to ensure their full-scale IQ greater than 80. The MRI assessments (T1 imaging, single-echo echo planar imaging(EPI) and multi-echo EPI resting-state fMRI) will be subsequently arranged within 2 weeks after psychiatric/neuropsychological assessments.
This study (1) will be the first report in Taiwan in terms of implementation of multi-echo EPI for denoise; (2) will be the first report in the world on the functional connective differences using multi-echo EPI; (3) will provide further evidence about the mechanism underpinning in-scanner motion restless and improve specificity of motion biomarkers by using multi-echo EPI.
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80 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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