Attention Deficit Hyperactivity Disorder
Cluster Number:
Wiki Number: W016
Diagnosis: ADHD-Attention Deficit Hyperactivity Disorder
US Patients:
World Patients: 51Mil
Sex Ratio: B2;G1
Age Onset: Age5-12
Brain Area: left prefrontal cortex, posterial parietal cortex;, accumbens, amygdala, hippocampus smaller
Symptoms: Hard to pay attention or control behavior; impulsive. Higher creativity
Progression: 9 points lower IQ scores; higher in dynamic energy and adventurousness, 40% in adults
Causes: 75% genetic; dopamine less-well regulated in boys; norepinephrine less well-regulated in girls; adult ADHD-neither
Medications: amphetamines to keep students quiet in schools for boys; stimulants increase blood flow, perk up the girls
Therapies: behavioral therapies, parent training
Youtube Video: ADHD – Finding What Works for Me
Youtube Video:
The Signs of Adult ADHD
Jim Lohr’s own downloads for ADHD are for sale in the “Blue Box,”
also on this website.
Taming My Hyperactive ADHD!
Overcoming My Inattentive ADHD!
Controlling My Adult ADHD!
You can order any or all of these downloads from the “Blue Box” in the right column of the website.
Amazon or Library Book:
A Dragon with ADHD
Amazon or Library Book:
Thriving with Adult ADHD
Click the book to link or order from Amazon.
Click the book to link or order from Amazon.
Support Group: add.org (Attention Deficit Disorder Association)
Contact your school for Special Education under the
U.S. Department of Education’s
Individuals with Disabilities Education Act, Section 300.8.
4 CURRENT ARTICLES
FROM PUBMED
The world-wide medical research
reports chosen for each diagnosis
Clicking each title opens the
PubMed article’s summary-abstract.
- Identifying ADHD-Related Abnormal Functional Connectivity with a Graph Convolutional Neural Networkby Yilin Hu on May 8, 2024
Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder that is characterized by inattention, hyperactivity, and impulsivity. The neural mechanisms underlying ADHD remain inadequately understood, and current approaches do not well link neural networks and attention networks within brain networks. Our objective is to investigate the neural mechanisms related to attention and explore neuroimaging biological tags that can be generalized within the attention networks....
- Using artificial intelligence methods to study the effectiveness of exercise in patients with ADHDby Dan Yu on May 8, 2024
Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder that significantly affects children and adults worldwide, characterized by persistent inattention, hyperactivity, and impulsivity. Current research in this field faces challenges, particularly in accurate diagnosis and effective treatment strategies. The analysis of motor information, enriched by artificial intelligence methodologies, plays a vital role in deepening our understanding and improving the...
- Mental health-related service and medicine use among a cohort of urban Aboriginal children and young people: Data linkage studyby Christian Young on May 7, 2024
CONCLUSIONS: Most Aboriginal children and young people did not have claims for mental health services or medicines. Aboriginal children with emotional and behavioural problems, or parents with health problems were more likely to have mental health service or medicine claims.
- Leveraging a Large Language Model to Assess Quality-of-Care: Monitoring ADHD Medication Side Effectsby Yair Bannett on May 7, 2024
CONCLUSIONS: Deploying an LLM on a variable set of clinical notes, including telephone notes, offered scalable measurement of quality-of-care and uncovered opportunities to improve psychopharmacological medication management in primary care.