Learning disability
Learning disabilities are due to genetic and/or neurobiological factors that alter brain functioning in a manner which affects one or more cognitive processes related to learning. These processing problems can interfere with learning basic skills such as reading, writing and/or math.
Cluster Number:
Wiki Number: W114
Diagnosis: Learning Disability-Learning Disorder
US Patients:
World Patients:
Sex Ratio:
Age Onset:
Brain Area: brain operates more slowly; heredity and genetics, family poverty
Symptoms: Differing ability to speak, liten, read, write, spell, reason, organize information and do math. Usually average or higher intelligence.
Progression:
Causes: Low expectations by parents, teachers or others may stigmatize and worsen the problems. Self-esteem may be built aside of school.
Medications:
Therapies: Schools are challenged by the mental difficulties many children go through. This is even more-prevalent with second-languages.
Youtube Video: Understanding Learning Disabilities
Amazon or Library Book: Learning Disabilities
Click the book to link or order from Amazon.
Support Group: understood.org; 516-654-7684
(Non-profit for helping those with learning challenges.)
4 CURRENT ARTICLES
FROM PUBMED
The world-wide medical research
reports chosen for each diagnosisÂ
Clicking each title opens the
PubMed article’s summary-abstract.
- Evaluating quality of life changes in patients with cleft lip or palate: a mixed method pre- and postsurgical analysis in Karachiby Muhammad Salman Aminwala on December 20, 2024
CONCLUSIONS: CLP significantly affects patients' quality of life in Karachi across multiple dimensions. Early diagnosis and surgical intervention are essential but often hindered by financial and accessibility issues. Psychological effects, including low self-esteem and social isolation, highlight the need for integrated mental health support. Family and community support are critical for patient resilience. A comprehensive approach addressing medical, psychological, social, and systemic factors...
- Classifying Alzheimer's Disease Using a Finite Basis Physics Neural Networkby Logeshwari Dhavamani on December 20, 2024
The disease amyloid plaques, neurofibrillary tangles, synaptic dysfunction, and neuronal death gradually accumulate throughout Alzheimer's disease (AD), resulting in cognitive decline and functional disability. The challenges of dataset quality, interpretability, ethical integration, population variety, and picture standardization must be addressed using deep learning for the functional magnetic resonance imaging (MRI) classification of AD in order to guarantee a trustworthy and practical...
- Investigating the complementary value of OCT to MRI in cognitive impairment in relapsing-remitting multiple sclerosisby Ronja Christensen on December 20, 2024
CONCLUSION: GCIPL thinning correlates with SDMT, supporting OCT as a biomarker of cognitive dysfunction. However, GCIPL did not uniquely predict SDMT performance when including MRI measures, suggesting limited utility of OCT in predicting cognitive performance over MRI in RRMS.
- Developing the new diagnostic model by integrating bioinformatics and machine learning for osteoarthritisby Jian Du on December 19, 2024
CONCLUSIONS: BTG2, CALML4, DUSP5, and GADD45B were identified as potential feature genes for OA, and an ANN diagnostic model with good diagnostic performance was developed, providing a new perspective for the early diagnosis and personalized treatment of OA.