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Complex networks reveal early MRI markers of Parkinson's disease
TLDR
This work demonstrates that MRI data, and in particular complex network measures, provide an efficient and accurate description of PD patterns using magnetic resonance imaging (MRI) data. Expand
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Brain structural connectivity atrophy in Alzheimer's disease
Analysis and quantification of brain structural changes, using Magnetic resonance imaging (MRI), are increasingly used to define novel biomarkers of brain pathologies, such as Alzheimer's diseaseExpand
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A Multiplex Network Model to Characterize Brain Atrophy in Structural MRI
TLDR
We developed a multiplex network approach for the description and recognition of structural brain changes in the context of the early diagnosis of Alzheimer disease (AD). Expand
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Alzheimer’s disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm
TLDR
HUMAN provides hippocampal volumes with a 3% precision; volume measurements effectively reveal AD, with an area under the curve (AUC) AUC1 = 0.869± 0.02. Expand
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Salient Networks: A Novel Application to Study Brain Connectivity
TLDR
We propose a novel complex network approach based on the detection of salient links to reveal the effect of atrophy on brain connectivity. Expand
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Topological Complex Networks Properties for Gene Community Detection Strategy: DRD2 Case Study
Gene interactions can suitably be modeled as communities through weighted complex networks. However, the problem to efficiently detect these communities , eventually gaining biological insight fromExpand
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Predicting brain age with complex networks: From adolescence to adulthood
TLDR
We propose a novel approach based on complex networks using 1016 T1-weighted MRI brain scans (in the age range 7-64years). Expand
24. Alzheimer pattern recognition in brain images using complex networks
TLDR
We present a medical imaging study for AD pattern recognition performed through the combined use of complex networks and machine learning techniques. Expand
The Effects of Filtering on High Frequency Oscillation Classification
TLDR
We preprocessed EEG with two different filters and then detected events with the short time energy (STE) detector and compared common detections. Expand