Effective connectivity in brain networks estimated using EEG signals are altered in children with attention deficit hyperactivity disorder

Attention-deficit / hyperactivity disorder (ADHD) has been associated with childhood epilepsy. Epilepsy are themost common neurologic disturbance in child age. Children with epilepsy tend to get one or more ADHD symptoms,its related to lack of norepinephrine neurotransmitter in brain, that cause attenuate the effect of GABA and disruptionto fronto-striatal brain networks, these same brain networks are disrupted by seizures or the structural brainabnormalities that can cause seizures. Children with epilepsy especially absance, tend to get inattentive type ofADHD more than other types. Abnormalities of electro-encephalography found in inattentive type of ADHD withhigh focus activities in all lobe area. No data published that methylphenidate can lower seizure threshold or act asproconvulsant. Children with epilepsy tend to get one or more symptoms of ADHD in the following days.

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Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals

Computer Methods and Programs in Biomedicine ◽

10.1016/j.cmpb.2021.105941 ◽

2021 ◽

Vol 200 ◽

pp. 105941

Author(s):

Hui Tian Tor ◽

Chui Ping Ooi ◽

Nikki SJ Lim-Ashworth ◽

Joel Koh En Wei ◽

V Jahmunah ◽

...

Keyword(s):

Attention Deficit Hyperactivity Disorder ◽

Conduct Disorder ◽

Attention Deficit ◽

Automated Detection ◽

Eeg Signals ◽

Hyperactivity Disorder

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Larger deficits in brain networks for response inhibition than for visual selective attention in attention deficit hyperactivity disorder (ADHD)

Journal of Child Psychology and Psychiatry ◽

10.1111/j.1469-7610.2004.00337.x ◽

2005 ◽

Vol 46 (1) ◽

pp. 94-111 ◽

Cited By ~ 204

Author(s):

James R. Booth ◽

Douglas D. Burman ◽

Joel R. Meyer ◽

Zhang Lei ◽

Barbara L. Trommer ◽

...

Keyword(s):

Attention Deficit Hyperactivity Disorder ◽

Selective Attention ◽

Response Inhibition ◽

Attention Deficit ◽

Brain Networks ◽

Visual Selective Attention ◽

Hyperactivity Disorder

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2.23 A COMPARISON OF BRAIN NETWORKS BETWEEN ATTENTION-DEFICIT/HYPERACTIVITY DISORDER AND BIPOLAR DISORDER IN MEDICATION-NAïVE ADOLESCENTS: A PRELIMINARY RESTING-STATE FMRI STUDY

Journal of the American Academy of Child & Adolescent Psychiatry ◽

10.1016/j.jaac.2016.09.089 ◽

2016 ◽

Vol 55 (10) ◽

pp. S128

Author(s):

Doug Hyun Han ◽

Jeongha Park ◽

Gi Jung Hyun ◽

Sun Mi Kim ◽

Perry F. Renshaw

Keyword(s):

Bipolar Disorder ◽

Attention Deficit Hyperactivity Disorder ◽

Attention Deficit ◽

Resting State ◽

Brain Networks ◽

Resting State Fmri ◽

Hyperactivity Disorder ◽

Fmri Study

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The effects of cognitive-behavioral therapy on intrinsic functional brain networks in adults with attention-deficit/hyperactivity disorder

Behaviour Research and Therapy ◽

10.1016/j.brat.2015.11.003 ◽

2016 ◽

Vol 76 ◽

pp. 32-39 ◽

Cited By ~ 5

Author(s):

Xiaoli Wang ◽

Qingjiu Cao ◽

Jinhui Wang ◽

Zhaomin Wu ◽

Peng Wang ◽

...

Keyword(s):

Attention Deficit Hyperactivity Disorder ◽

Cognitive Behavioral Therapy ◽

Attention Deficit ◽

Behavioral Therapy ◽

Brain Networks ◽

Cognitive Behavioral ◽

Functional Brain ◽

Hyperactivity Disorder ◽

Functional Brain Networks

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Resting-State fMRI to Identify the Brain Correlates of Treatment Response to Medications in Children and Adolescents With Attention-Deficit/Hyperactivity Disorder: Lessons From the CUNMET Study

Frontiers in Psychiatry ◽

10.3389/fpsyt.2021.759696 ◽

2021 ◽

Vol 12 ◽

Author(s):

Victor Pereira-Sanchez ◽

Alexandre R. Franco ◽

Pilar de Castro-Manglano ◽

Maria A. Fernandez-Seara ◽

Maria Vallejo-Valdivielso ◽

...

Keyword(s):

Attention Deficit Hyperactivity Disorder ◽

Attention Deficit ◽

Resting State ◽

Brain Networks ◽

Lessons Learned ◽

Pharmacological Treatments ◽

Hyperactivity Disorder ◽

Long Term Treatment ◽

Treatment Naïve ◽

The Brain

Neuroimaging research seeks to identify biomarkers to improve the diagnosis, prognosis, and treatment of attention-deficit/hyperactivity disorder (ADHD), although clinical translation of findings remains distant. Resting-state functional magnetic resonance imaging (R-fMRI) is increasingly being used to characterize functional connectivity in the brain. Despite mixed results to date and multiple methodological challenges, dominant hypotheses implicate hyperconnectivity across brain networks in patients with ADHD, which could be the target of pharmacological treatments. We describe the experience and results of the Clínica Universidad de Navarra (Spain) Metilfenidato (CUNMET) pilot study. CUNMET tested the feasibility of identifying R-fMRI markers of clinical response in children with ADHD undergoing naturalistical pharmacological treatments. We analyzed cross-sectional data from 56 patients with ADHD (18 treated with methylphenidate, 18 treated with lisdexamfetamine, and 20 treatment-naive patients). Standard preprocessing and statistical analyses with attention to control for head motion and correction for multiple comparisons were performed. The only results that survived correction were noted in contrasts of children who responded clinically to lisdexamfetamine after long-term treatment vs. treatment-naive patients. In these children, we observed stronger negative correlations (anticorrelations) across nodes in six brain networks, which is consistent with higher across-network functional segregation in patients treated with lisdexamfetamine, i.e., less inter-network interference than in treatment-naive patients. We also note the lessons learned, which could help those pursuing clinically relevant multidisciplinary research in ADHD en route to eventual personalized medicine. To advance reproducible open science, our report is accompanied with links providing access to our data and analytic scripts.

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