New Results
A Whole-Brain Computational Modeling Approach to Explain the Alterations in Resting-State Functional Connectivity during Progression of Alzheimer’s Disease
Murat Demirtaş, Carles Falcon, Alan Tucholka, Juan Domingo Gispert, José Luis Molinuevo, Gustavo Deco
doi: https://doi.org/10.1101/076851
Murat Demirtaş
1Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, 08018, Barcelona, Spain;
2Yale University, Psychiatry Department, New Haven, 06510, Connecticut, United States;
Carles Falcon
4Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
5Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Zaragoza, Spain.
Alan Tucholka
4Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
Juan Domingo Gispert
4Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
5Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Zaragoza, Spain.
José Luis Molinuevo
4Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
Gustavo Deco
1Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, 08018, Barcelona, Spain;
3Institució Catalana de Recerca i Estudis Avançats, 08010, Barcelona, Spain;
Article usage
Posted September 22, 2016.
A Whole-Brain Computational Modeling Approach to Explain the Alterations in Resting-State Functional Connectivity during Progression of Alzheimer’s Disease
Murat Demirtaş, Carles Falcon, Alan Tucholka, Juan Domingo Gispert, José Luis Molinuevo, Gustavo Deco
bioRxiv 076851; doi: https://doi.org/10.1101/076851
A Whole-Brain Computational Modeling Approach to Explain the Alterations in Resting-State Functional Connectivity during Progression of Alzheimer’s Disease
Murat Demirtaş, Carles Falcon, Alan Tucholka, Juan Domingo Gispert, José Luis Molinuevo, Gustavo Deco
bioRxiv 076851; doi: https://doi.org/10.1101/076851
Subject Areas
- Biochemistry (11571)
- Bioengineering (8622)
- Bioinformatics (28868)
- Biophysics (14803)
- Cancer Biology (11941)
- Cell Biology (17168)
- Clinical Trials (138)
- Developmental Biology (9302)
- Ecology (14019)
- Epidemiology (2067)
- Evolutionary Biology (18128)
- Genetics (12145)
- Genomics (16616)
- Immunology (11707)
- Microbiology (27692)
- Molecular Biology (11387)
- Neuroscience (60096)
- Paleontology (447)
- Pathology (1847)
- Pharmacology and Toxicology (3184)
- Physiology (4878)
- Plant Biology (10278)
- Synthetic Biology (2849)
- Systems Biology (7289)
- Zoology (1619)