A5047293927- Dementia and Cognitive Impairment Research
- Functional Brain Connectivity Studies
- Health, Environment, Cognitive Aging
- Birth, Development, and Health
- Advanced Neuroimaging Techniques and Applications
- Diet and metabolism studies
- Schizophrenia research and treatment
- Neonatal and fetal brain pathology
- Bipolar Disorder and Treatment
- Pregnancy and preeclampsia studies
- Corporate Governance and Management
- Neurological Disease Mechanisms and Treatments
- Neurological and metabolic disorders
- Infant Nutrition and Health
- Nutritional Studies and Diet
- Maternal Mental Health During Pregnancy and Postpartum
- Advanced MRI Techniques and Applications
- Brain Tumor Detection and Classification
- Atomic and Subatomic Physics Research
- Alzheimer's disease research and treatments
- Gestational Diabetes Research and Management
- Child Abuse and Trauma
- Genetics and Neurodevelopmental Disorders
- Menopause: Health Impacts and Treatments
- Adolescent and Pediatric Healthcare
Jena University Hospital
2013-2022
Friedrich Schiller University Jena
2010
Charité - Universitätsmedizin Berlin
2003
Alzheimer's disease (AD), the most common form of dementia, shares many aspects abnormal brain aging. We present a novel magnetic resonance imaging (MRI)-based biomarker that predicts individual progression mild cognitive impairment (MCI) to AD on basis pathological aging patterns. By employing kernel regression methods, expression normal brain-aging patterns forms estimate age given new subject. If estimated is higher than chronological age, positive gap estimation (BrainAGE) score...
We recently proposed a novel method that aggregates the multidimensional aging pattern across brain to single value. This proved provide stable and reliable estimates of – even different scanners. While investigating longitudinal changes in BrainAGE about 400 elderly subjects, we discovered patients with Alzheimer’s disease subjects who had converted AD within 3 years showed accelerated atrophy by +6 at baseline. An additional increase accumulated score +9 during follow-up. Accelerated was...
Aging alters brain structure and function diabetes mellitus (DM) may accelerate this process. This study investigated the effects of type 2 DM on individual aging as well relationships between aging, risk factors, functional measures. To differentiate a pattern atrophy that deviates from normal we used novel BrainAGE approach, which determines complex multidimensional within whole by applying established kernel regression methods to anatomical magnetic resonance images (MRI). The "Brain Age...
Abstract Estimating age based on neuroimaging‐derived data has become a popular approach to developing markers for brain integrity and health. While variety of machine‐learning algorithms can provide accurate predictions characteristics, there is significant variation in model accuracy reported across studies. We predicted two population‐based datasets, assessed the effects range, sample size age‐bias correction performance metrics Pearson's correlation coefficient ( r ), determination R 2...
In our aging society, diseases in the elderly come more and into focus. An important issue research is Mild Cognitive Impairment (MCI) Alzheimer's Disease (AD) with their causes, diagnosis, treatment, disease prediction. We applied Brain Age Gap Estimation (BrainAGE) method to examine impact of Apolipoprotein E (APOE) genotype on structural brain aging, utilizing longitudinal magnetic resonance image (MRI) data 405 subjects from Neuroimaging Initiative (ADNI) database. tested for differences...
Abstract Background The greater presence of neurodevelopmental antecedants may differentiate schizophrenia from bipolar disorders (BD). Machine learning/pattern recognition allows us to estimate the biological age brain structural magnetic resonance imaging scans (MRI). discrepancy between and chronological could contribute early detection differentiation BD schizophrenia. Methods We estimated in 2 studies focusing on stages or BD. In first study, we recruited 43 participants with episode...
Lifestyle may be one source of unexplained variance in the great interindividual variability brain age-related structural differences. While physical and social activity protect against decline, other lifestyle behaviors accelerating factors. We examined whether riskier correlates with accelerated aging using BrainAGE score 622 older adults from 1000BRAINS cohort. was measured a combined risk score, composed (smoking, alcohol intake) protective variables (social integration activity)....
Aging alters brain structure and function. Personal health markers modifiable lifestyle factors are related to individual aging as well the risk of developing Alzheimer's disease (AD). This study used a novel magnetic resonance imaging (MRI)-based biomarker assess effects 17 on in cognitively unimpaired elderly subjects. By employing kernel regression methods, expression normal brain-aging patterns forms basis estimate age given new subject. If estimated is higher than chronological age,...
Bipolar disorders increase the risk of dementia and show biological brain alterations, which resemble accelerated aging. Lithium may counter some these processes lower dementia. However, until now no study has specifically investigated effects Li on age.We acquired structural magnetic resonance imaging scans from 84 participants with bipolar (41 43 without treatment) 45 controls. We used a machine learning model trained an independent sample 504 controls to estimate individual ages...
Abstract Background Obesity is highly prevalent in schizophrenia, with implications for psychiatric prognosis, possibly through links between obesity and brain structure. In this longitudinal study first episode of psychosis (FEP), we used machine learning structural magnetic resonance imaging (MRI) to the impact psychotic illness on ageing/neuroprogression shortly after onset. Methods We acquired 2 prospective MRI scans average 1.61 years apart 183 FEP 155 control individuals. a model...
Contrary to the known benefits from a moderate dietary reduction during adulthood on life span and health, maternal nutrient pregnancy is supposed affect developing brain, probably resulting in impaired brain structure function throughout life. Decreased fetal nutrition delivery widespread both developed countries, caused by poverty natural disasters, but also due dieting, teenage pregnancy, women over 35 years of age, placental insufficiency, or multiples. Compromised development cerebral...
Abstract Healthy brain aging is a major determinant of quality life, allowing integration into society at all ages. Human epidemiological and animal studies indicate that in addition to lifestyle genetic factors, environmental influences prenatal life have impact on age-associated disorders. The aim this review summarize the existing literature consequences maternal anxiety, stress, malnutrition for structural predisposition diseases, focusing with human samples. In conclusion, results...
The cosmetic and behavioural aspects of ageing become increasingly apparent with the passing years. individual variability in physical can be immediately observed people’s face, posture, voice gait. In contrast, pace at which our brains age is less obvious, only becoming once substantial neurodegeneration manifests through cognitive decline dementia. Therefore, a more timely precise assessment brain needed so its determinants mechanisms effectively identified ultimately optimised. This...
This work presents two novel species-specific adaptations of a MRI based biomarker that indicates individual deviations from normal brain aging trajectories for rodents and non-human primates. By employing automatic, preprocessing anatomical as well high-dimensional pattern recognition methods, this approach uses the distribution healthy brain-aging patterns to estimate ages. may probably enable tracking effects developmental environmental influences, manipulations, (preventive) treatments...