Longitudinal changes of resting state networks in children with ADHD and typically developing controls

Author(s):  
Shania Mereen Soman ◽  
Nandita Vijayakumar ◽  
Gareth Ball ◽  
Christian Hyde ◽  
Timothy J. Silk
2014 ◽  
Author(s):  
Xiang-zhen Kong

Resting-state functional MRI (rs-fMRI) has become an important method for analyzing the neural mechanisms underlying mental disorders. But studies targeting head motion during an rs-fMRI examination are rare. Since head motion may pollute the data in the neural imaging studies and further mislead the understanding of the causes of some disorders, systematic investigations on this topic were badly needed. To this end, in this study, children with attention-deficit/hyperactivity disorder (ADHD) and demographically-matched typically developing control (TDC) participants underwent an rs-fMRI examination. We obtained a summary motion index and six mean single head motion parameters (three translational and three rotational) for each participant. With the summary index, we found that motion was significantly increased in the ADHD group and the results showed that the increase was mainly contributed by the motion around and along the superior-to-inferior direction. Moreover, the classification analysis showed that these head motion parameters during scanning could accurately distinguish children with ADHD from the healthy control group. These results suggest that accounting for head motion during scanning may be helpful for ADHD diagnosis and treatment with neuroimaging.


2019 ◽  
Vol 23 (11) ◽  
pp. 876-886 ◽  
Author(s):  
Nadia Borlase ◽  
Tracy R. Melzer ◽  
Matthew J.F. Eggleston ◽  
Kathryn A. Darling ◽  
Julia J. Rucklidge

2019 ◽  
Vol 122 (6) ◽  
pp. 2427-2437 ◽  
Author(s):  
Madeline M. Robertson ◽  
Sarah Furlong ◽  
Bradley Voytek ◽  
Thomas Donoghue ◽  
Charlotte A. Boettiger ◽  
...  

Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder characterized by hyperactivity/impulsivity and inattentiveness. Efforts toward the development of a biologically based diagnostic test have identified differences in the EEG power spectrum; most consistently reported is an increased ratio of theta to beta power during resting state in those with the disorder, compared with controls. Current approaches calculate theta/beta ratio using fixed frequency bands, but the observed differences may be confounded by other relevant features of the power spectrum, including shifts in peak oscillation frequency and altered slope or offset of the aperiodic 1/ f-like component of the power spectrum. In the present study, we quantify the spectral slope and offset, peak alpha frequency, and band-limited and band-ratio oscillatory power in the resting-state EEG of 3- to 7-yr-old children with and without ADHD. We found that medication-naive children with ADHD had higher alpha power, greater offsets, and steeper slopes compared with typically developing children. Children with ADHD who were treated with stimulants had comparable slopes and offsets to the typically developing group despite a 24-h medication-washout period. We further show that spectral slope correlates with traditional measures of theta/beta ratio, suggesting the utility of slope as a neural marker over and above traditional approaches. Taken with past research demonstrating that spectral slope is associated with executive functioning and excitatory/inhibitory balance, these results suggest that altered slope of the power spectrum may reflect pathology in ADHD. NEW & NOTEWORTHY This article highlights the clinical utility of comprehensively quantifying features of the EEG power spectrum. Using this approach, we identify, for the first time, differences in the aperiodic components of the EEG power spectrum in children with attention-deficit/hyperactivity disorder (ADHD) and provide evidence that spectral slope is a robust indictor of an increase in low- relative to high-frequency power in ADHD.


2020 ◽  
Vol 28 ◽  
pp. 102354 ◽  
Author(s):  
Rachel Smallwood Shoukry ◽  
Rebecca Waugh ◽  
Dan Bartlett ◽  
Denitza Raitcheva ◽  
Mary Kay Floeter

2014 ◽  
Author(s):  
Xiang-zhen Kong

Although head motion during scanning has been largely considered to reflect simply technical artifacts, there is growing evidence showing that the variable of head motion reflects valuable information regarding individual’s psychological and/or clinical factors. Detailed studies would not only help to deal with the head motion biases, but they also help researchers in understanding the mental disorders. In this study, children with ADHD and demographically-matched typically developing control (TDC) participants underwent rs-fMRI examination without any specific task, and six mean single head motion parameters (three translational and three rotational) and a summary motion index for each participant were obtained. We found that patients with ADHD showed specific patterns of head motion during scanning: motion was significantly increased in the ADHD group, which was mainly contributed by the motion around and along the superior-to-inferior direction. Furthermore, the cross-validation classification analyses showed that the head motion could accurately distinguish children with ADHD from the healthy controls. These results suggest that head motion during scanning reflects useful information about the participants and accounting for head motion from MRI data may be helpful for ADHD diagnosing and treatment with neuroimaging.


Author(s):  
Cody L. Thornburgh ◽  
Shalini Narayana ◽  
Roozbeh Rezaie ◽  
Bella N. Bydlinski ◽  
Frances A. Tylavsky ◽  
...  

2014 ◽  
Author(s):  
Xiang-zhen Kong

Although head motion during scanning has been largely considered to reflect simply technical artifacts, there is growing evidence showing that the variable of head motion reflects valuable information regarding individual’s psychological and/or clinical factors. Detailed studies would not only help to deal with the head motion biases, but they also help researchers in understanding the mental disorders. In this study, children with ADHD and demographically-matched typically developing control (TDC) participants underwent rs-fMRI examination without any specific task, and six mean single head motion parameters (three translational and three rotational) and a summary motion index for each participant were obtained. We found that patients with ADHD showed specific patterns of head motion during scanning: motion was significantly increased in the ADHD group, which was mainly contributed by the motion around and along the superior-to-inferior direction. Furthermore, the cross-validation classification analyses showed that the head motion could accurately distinguish children with ADHD from the healthy controls. These results suggest that head motion during scanning reflects useful information about the participants and accounting for head motion from MRI data may be helpful for ADHD diagnosing and treatment with neuroimaging.


2015 ◽  
Vol 29 (1) ◽  
pp. 26-32 ◽  
Author(s):  
Ching-Wen Huang ◽  
Chung-Ju Huang ◽  
Chiao-Ling Hung ◽  
Chia-Hao Shih ◽  
Tsung-Min Hung

Children with attention deficit hyperactivity disorder (ADHD) are characterized by a deviant pattern of brain oscillations during resting state, particularly elevated theta power and increased theta/alpha and theta/beta ratios that are related to cognitive functioning. Physical fitness has been found beneficial to cognitive performance in a wide age population. The purpose of the present study was to investigate the relationship between physical fitness and resting-state electroencephalographic (EEG) oscillations in children with ADHD. EEG was recorded during eyes-open resting for 28 children (23 boys and 5 girls, 8.66 ± 1.10 years) with ADHD, and a battery of physical fitness assessments including flexibility, muscular endurance, power, and agility tests were administered. The results indicated that ADHD children with higher power fitness exhibited a smaller theta/alpha ratio than those with lower power fitness. These findings suggest that power fitness may be associated with improved attentional self-control in children with ADHD.


Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 2092-P
Author(s):  
LETICIA ESPOSITO SEWAYBRICKER ◽  
SUSAN J. MELHORN ◽  
MARY K. ASKREN ◽  
MARY WEBB ◽  
VIDHI TYAGI ◽  
...  

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