A5084540031- Mental Health Research Topics
- EEG and Brain-Computer Interfaces
- Tryptophan and brain disorders
- Multiple Sclerosis Research Studies
- Genetic Associations and Epidemiology
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Bioinformatics and Genomic Networks
- Ultrasound Imaging and Elastography
- Inflammasome and immune disorders
- Genomics and Rare Diseases
- Birth, Development, and Health
- Genomic variations and chromosomal abnormalities
- Stress Responses and Cortisol
- Bipolar Disorder and Treatment
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Genetics and Neurodevelopmental Disorders
- Advanced Neuroimaging Techniques and Applications
- Single-cell and spatial transcriptomics
- Immune Response and Inflammation
- Genetic Neurodegenerative Diseases
- Attention Deficit Hyperactivity Disorder
- Autism Spectrum Disorder Research
- Fractional Differential Equations Solutions
- Differential Equations and Numerical Methods
University of Basel
2017-2024
Abstract Background Multiple sclerosis (MS) is a genetically complex disease with substantial heritability estimates. Besides typical clinical manifestations such as motor and sensory deficits, fatigue, MS characterized by structural functional brain abnormalities, cognitive impairment decreased working memory (WM) performance. Objectives This study investigates the possible link between polygenic risk for WM performance in healthy adults aged 18 – 35 years. Additionally, it addresses same...
Abstract Highly Superior Autobiographical Memory (HSAM) is an extremely rare condition characterized by individual’s unparallelled ability to recall personal past events with exceptional detail and accuracy, including exact dates days of the week, spanning many decades 1–3 . The molecular underpinnings HSAM are unknown. Here, we investigated individual through neuropsychological testing, structural brain imaging, genetic analyses. was confirmed as isolated cognitive ability, imaging...
Recognition memory is an essential ability for functioning in everyday life. Establishing robust brain networks linked to recognition performance can help understand the neural basis of itself and interindividual differences performance. We analysed behavioural whole-brain fMRI data from 1′410 healthy young adults during testing phase a picture-recognition task. Using independent component analysis (ICA), we decomposed contrast previously seen vs. new (old-new) pictures into activity. This...