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.
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.
- Hemiplegic Migraine Associated With PRRT2 Mutations: A Clinical and Genetic Studyby Florence Riant on October 15, 2021
CONCLUSION: PRRT2 should be regarded as the fourth autosomal dominant gene for hemiplegic migraine, and screened in any affected patient, together with the three other main genes. Further studies are needed to understand how the same loss of function PRRT2 mutations can lead to a wide range of neurologic phenotypes including paroxysmal movement disorder, epilepsy, learning disabilities, sleep disorder and hemiplegic migraine.
- Neurological and neurodevelopmental symptoms in children with familial Mediterranean fever and their siblingsby Oren Biro on October 15, 2021
Familial Mediterranean fever is a common autoinflammatory disease characterized by periodic attacks of fever and serositis. There are few reports describing neurological symptoms in patients with FMF. The aim of this study was to systematically assess the neurologic and developmental involvement in pediatric patients with FMF. Between the years 2016 and 2019, parents of children with FMF were asked to complete a questionnaire regarding the presence of neurological and developmental symptoms in...
- Applying Deep Learning to Accelerated Clinical Brain Magnetic Resonance Imaging for Multiple Sclerosisby Ashika Mani on October 14, 2021
Background: Magnetic resonance (MR) scans are routine clinical procedures for monitoring people with multiple sclerosis (PwMS). Patient discomfort, timely scheduling, and financial burden motivate the need to accelerate MR scan time. We examined the clinical application of a deep learning (DL) model in restoring the image quality of accelerated routine clinical brain MR scans for PwMS. Methods: We acquired fast 3D T1w BRAVO and fast 3D T2w FLAIR MRI sequences (half the phase encodes and half the...
- Classifying and tracking rehabilitation interventions through machine-learning algorithms in individuals with strokeby Victor C Espinoza Bernal on October 14, 2021
CONCLUSION: The results of this pilot study indicate that personalized supervised learning algorithms can be used to classify and track rehab activities and functional outcomes in resource limited settings such as LMICs.