A5076857725- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- Medical Image Segmentation Techniques
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- Brain Tumor Detection and Classification
- Dementia and Cognitive Impairment Research
- Face and Expression Recognition
- Machine Learning and ELM
- Neurological Disease Mechanisms and Treatments
- Neural Networks and Applications
- Alzheimer's disease research and treatments
- MRI in cancer diagnosis
- Cardiovascular Disease and Adiposity
- EEG and Brain-Computer Interfaces
- Advanced Memory and Neural Computing
- Blind Source Separation Techniques
- Electrochemical Analysis and Applications
- Diet and metabolism studies
- Analog and Mixed-Signal Circuit Design
- Body Composition Measurement Techniques
- Image Retrieval and Classification Techniques
- Domain Adaptation and Few-Shot Learning
- Control Systems and Identification
- Cognitive Computing and Networks
Klinikum rechts der Isar
2017-2021
Technical University of Munich
2016-2021
University of the Basque Country
2008-2015
Wrocław University of Science and Technology
2015
Functional MRI (fMRI) studies reported disruption of resting-state networks (RSNs) in several neuropsychiatric disorders. PET with <sup>18</sup>F-FDG captures neuronal activity that is steady state at a longer time span and less dependent on neurovascular coupling. <b>Methods:</b> In the present study, we aimed to identify RSNs data compare their spatial pattern those obtained from simultaneously acquired fMRI 22 middle-aged healthy subjects. <b>Results:</b> Thirteen 17 meaningful could be...
Resting-state studies conducted with stroke patients are scarce. First objective was to explore whether good cognitive recovery showed differences in resting-state functional patterns of brain activity when compared poor recovery. Second determine such were correlated performance. Third assess the existence prognostic factors for Eighteen right-handed and eighteen healthy controls included study. Stroke divided into two groups according their improvement observed at three months after...
Functional MRI (fMRI) studies have reported altered integrity of large-scale neurocognitive networks (NCNs) in dementing disorders. However, findings on the specificity these alterations patients with Alzheimer disease (AD) and behavioral-variant frontotemporal dementia (bvFTD) are still limited. Recently, NCNs been successfully captured using PET <sup>18</sup>F-FDG. <b>Methods:</b> Network was measured 72 individuals (38 male) mild AD or bvFTD, healthy controls, a simultaneous resting-state...
textbf{Background} Late Onset Bipolar Disorder (LOBD) is often difficult to distinguish from degenerative dementias, such as Alzheimer Disease (AD), due comorbidities and common cognitive symptoms. Moreover, LOBD prevalence in the elder population not negligible it increasing. Both pathologies share pathophysiological features related neuroinflammation. Improved means differentiate between AD subjects will help select best personalized treatment. \textbf{Objective} The aim of this study...
Abstract Purpose Inter-subject covariance of regional 18F-fluorodeoxyglucose (FDG) PET measures (FDG cov ) as proxy brain connectivity has been gaining an increasing acceptance in the community. Yet, it is still unclear to what extent FDG underlied by actual structural via white matter fiber tracts. In this study, we quantified degree spatial overlap between and networks. Methods We retrospectively analyzed neuroimaging data from 303 subjects, both patients with suspected neurodegenerative...
DATA REPORT article Front. Neuroinform., 11 April 2017 Volume - | https://doi.org/10.3389/fninf.2017.00025
Background: Late Onset Bipolar Disorder (LOBD) is the arousal of (BD) at old age (>60) without any previous history disorders. LOBD often difficult to distinguish from degenerative dementias, such as Alzheimer Disease (AD), due comorbidities and common cognitive symptoms. Moreover, prevalence increasing population aging. Biomarkers extracted blood plasma are not discriminant because both pathologies share pathophysiological features related neuroinflammation, therefore we look for anatomical...