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1. Activity flow underlying abnormalities in brain activations and cognition in schizophrenia
Luke J. Hearne, Ravi D. Mill, Brian P. Keane, Grega Repovš, Alan Anticevic, Michael W. Cole, 2021, original scientific article

Keywords: activity flow, schizophrenia, brain, neurosciences, cognitive impairment, cognitive dysfunction, functional connectivity, neural networks, brain networks, functional magnetic resonance imaging fMRI, working memory
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2. Sporadic Creutzfeldt–Jakob disease is associated with reorganization of metabolic connectivity in a pathological brain network
Tomaž Rus, Jernej Mlakar, Luka Ležaič, An Vo, Nha Nguyen, Chris Chengke Tang, Michele Fiorini, Elena Prieto, Gloria Martí Andrés, Javier Arbizu, David Eidelberg, Maja Trošt, 2023, original scientific article

Keywords: brain networks, Creutzfeldt–Jakob disease, Creutzfeldt–Jakob disease-related pattern, FDG-PET, graph theory
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3. Network representational learning for classification of patients with neurological disorders
BISERA NIKOLOSKA, 2023, undergraduate thesis

Keywords: complex networks, brain networks, graph embeddings, machine learning, classification
Full text (file, 1,43 MB)

4. Static and dynamic fMRI-derived functional connectomes represent largely similar information
Andraž Matkovič, Alan Anticevic, John D. Murray, Grega Repovš, 2023, original scientific article

Keywords: functional connectivity, autoregressive model, dynamic functional connectivity, brain-behavior associations, measurement, brain, functional magnetic resonance imaging fMRI, neurosciences, neural networks
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5. Metabolic brain changes can predict the underlying pathology in neurodegenerative brain disorders
Tomaž Rus, Jernej Mlakar, Jan Jamšek, Maja Trošt, 2023, other scientific articles

Keywords: Creutzfeldt–Jakob disease, Parkinson’s disease, multiple co-proteinopathy, FDG PET, brain networks analysis
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