Search Results - "Dyrba, Martin"
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Multimodal analysis of functional and structural disconnection in Alzheimer's disease using multiple kernel SVM
Published in Human brain mapping (01-06-2015)“…Alzheimer's disease (AD) patients exhibit alterations in the functional connectivity between spatially segregated brain regions which may be related to both…”
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Basal forebrain volume and metabolism in carriers of the Colombian mutation for autosomal dominant Alzheimer’s disease
Published in Scientific reports (17-05-2024)“…We aimed to study atrophy and glucose metabolism of the cholinergic basal forebrain in non-demented mutation carriers for autosomal dominant Alzheimer's…”
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Measuring Cortical Connectivity in Alzheimer's Disease as a Brain Neural Network Pathology: Toward Clinical Applications
Published in Journal of the International Neuropsychological Society (01-02-2016)“…The objective was to review the literature on diffusion tensor imaging as well as resting-state functional magnetic resonance imaging and…”
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The corticotopic organization of the human basal forebrain as revealed by regionally selective functional connectivity profiles
Published in Human brain mapping (15-02-2019)“…The cholinergic basal forebrain (CBF), comprising different groups of cortically projecting cholinergic neurons, plays a crucial role in higher cognitive…”
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Regional radiomics similarity networks (R2SNs) in the human brain: Reproducibility, small-world properties and a biological basis
Published in Network neuroscience (Cambridge, Mass.) (2021)“…A structural covariance network (SCN) has been used successfully in structural magnetic resonance imaging (sMRI) studies. However, most SCNs have been…”
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Data-driven FDG-PET subtypes of Alzheimer's disease-related neurodegeneration
Published in Alzheimer's research & therapy (19-02-2021)“…Previous research has described distinct subtypes of Alzheimer's disease (AD) based on the differences in regional patterns of brain atrophy on MRI. We…”
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Mean diffusivity in cortical gray matter in Alzheimer's disease: The importance of partial volume correction
Published in NeuroImage clinical (01-01-2018)“…Mean diffusivity (MD) measured by diffusion tensor imaging can reflect microstructural alterations of the brain's gray matter (GM). Therefore, GM MD may be a…”
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Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment
Published in Advanced science (01-04-2022)“…Individuals with mild cognitive impairment (MCI) of different subtypes show distinct alterations in network patterns. The first aim of this study is to…”
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Robust automated detection of microstructural white matter degeneration in Alzheimer's disease using machine learning classification of multicenter DTI data
Published in PloS one (31-05-2013)“…Diffusion tensor imaging (DTI) based assessment of white matter fiber tract integrity can support the diagnosis of Alzheimer's disease (AD). The use of DTI as…”
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Cortical thinning and its relation to cognition in amyotrophic lateral sclerosis
Published in Neurobiology of aging (2014)“…Abstract Clinical, genetic, and pathological findings suggest a close relationship between amyotrophic lateral sclerosis (ALS) and frontotemporal dementia…”
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Case Report: Cognitive Conversion in a Non-brazilian VAPB Mutation Carrier (ALS8)
Published in Frontiers in neurology (02-06-2021)“…Amyotrophic lateral sclerosis 8 (ALS8) is a predominantly lower motor neuron syndrome originally described in a Portuguese–Brazilian family, which originated…”
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Cognitive Profiles of Amyotrophic Lateral Sclerosis Differ in Resting-State Functional Connectivity: An fMRI Study
Published in Frontiers in neuroscience (23-06-2021)“…Half of all amyotrophic lateral sclerosis-frontotemporal spectrum disorder (ALS-FTSD) patients are classified as cognitively impaired, of which 10% have…”
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Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: evaluation in Alzheimer's disease
Published in Alzheimer's research & therapy (23-11-2021)“…Although convolutional neural networks (CNNs) achieve high diagnostic accuracy for detecting Alzheimer's disease (AD) dementia based on magnetic resonance…”
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Dorsolateral Prefrontal Functional Connectivity Predicts Working Memory Training Gains
Published in Frontiers in aging neuroscience (01-03-2021)“…Normal aging is associated with working memory decline. A decrease in working memory performance is associated with age-related changes in functional…”
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Gaussian Graphical Models Reveal Inter-Modal and Inter-Regional Conditional Dependencies of Brain Alterations in Alzheimer's Disease
Published in Frontiers in aging neuroscience (21-04-2020)“…Alzheimer's disease (AD) is characterized by a sequence of pathological changes, which are commonly assessed using various brain imaging modalities such as…”
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Multicenter stability of resting state fMRI in the detection of Alzheimer's disease and amnestic MCI
Published in NeuroImage clinical (01-01-2017)“…In monocentric studies, patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD) dementia exhibited alterations of functional cortical…”
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Does Functional Connectivity Provide a Marker for Cognitive Rehabilitation Effects in Alzheimer's Disease? An Interventional Study
Published in Journal of Alzheimer's disease (01-01-2017)“…Cognitive rehabilitation (CR) is a cognitive intervention for patients with Alzheimer's disease (AD) that aims to maintain everyday competences. The analysis…”
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Partial Volume Correction Increases the Sensitivity of 18F-Florbetapir-Positron Emission Tomography for the Detection of Early Stage Amyloidosis
Published in Frontiers in aging neuroscience (22-12-2021)“…To test whether correcting for unspecific signal from the cerebral white matter increases the sensitivity of amyloid-PET for early stages of cerebral…”
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Performance evaluation of automated white matter hyperintensity segmentation algorithms in a multicenter cohort on cognitive impairment and dementia
Published in Frontiers in psychiatry (12-01-2023)“…White matter hyperintensities (WMH), a biomarker of small vessel disease, are often found in Alzheimer's disease (AD) and their advanced detection and…”
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Editorial: Deep Learning in Aging Neuroscience
Published in Frontiers in neuroinformatics (26-10-2020)“…The vast amount of data provided by large multicentre studies investigating new biomarkers for age-related neural diseases presents an opportunity for the…”
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