Reorganization of brain connectivity across the spectrum of clinical cognitive decline
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| Udgivet i: | Neurological Sciences vol. 45, no. 12 (Dec 2024), p. 5719 |
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| Andre forfattere: | , , , |
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Springer Nature B.V.
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| Online adgang: | Citation/Abstract Full Text - PDF |
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| 001 | 3126806597 | ||
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| 022 | |a 1590-1874 | ||
| 022 | |a 1590-3478 | ||
| 022 | |a 0392-0461 | ||
| 024 | 7 | |a 10.1007/s10072-024-07688-1 |2 doi | |
| 035 | |a 3126806597 | ||
| 045 | 2 | |b d20241201 |b d20241231 | |
| 084 | |a 66966 |2 nlm | ||
| 100 | 1 | |a Yüksel Dal, Demet |u Boğaziçi University, Department of Electrical & Electronics Engineering, İstanbul, Turkey (GRID:grid.11220.30) (ISNI:0000 0001 2253 9056) | |
| 245 | 1 | |a Reorganization of brain connectivity across the spectrum of clinical cognitive decline | |
| 260 | |b Springer Nature B.V. |c Dec 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Clinical cognitive decline, leading to Alzheimer’s Disease Dementia (ADD), has long been interpreted as a disconnection syndrome, hindering the information flow capacity of the brain, hence leading to the well-known symptoms of ADD. The structural and functional brain connectome analyses play a central role in studies of brain from this perspective. However, most current research implicitly assumes that the changes accompanying the progression of cognitive decline are monotonous in time, whether measured across the entire brain or in fixed cortical regions. We investigate the structural and functional connectivity-wise reorganization of the brain without such assumptions across the entire spectrum. We utilize nodal assortativity as a local topological measure of connectivity and follow a data-centric approach to identify and verify relevant local regions, as well as to understand the nature of underlying reorganization. The analysis of our preliminary experimental data points to statistically significant, hyper and hypo-assortativity regions that depend on the disease’s stage, and differ for structural and functional connectomes. Our results suggest a new perspective into the dynamic, potentially a mix of degenerative and compensatory, topological alterations that occur in the brain as cognitive decline progresses. | |
| 653 | |a Cerebrum | ||
| 653 | |a Information processing | ||
| 653 | |a Neurodegenerative diseases | ||
| 653 | |a Statistical analysis | ||
| 653 | |a Structure-function relationships | ||
| 653 | |a Cognitive ability | ||
| 653 | |a Alzheimer's disease | ||
| 653 | |a Neural networks | ||
| 653 | |a Dementia disorders | ||
| 653 | |a Nervous system diseases | ||
| 653 | |a Neurodegeneration | ||
| 653 | |a Brain research | ||
| 653 | |a Dementia | ||
| 653 | |a Life sciences | ||
| 653 | |a Feature selection | ||
| 700 | 1 | |a Yıldırım, Zerrin |u Bağılar Training and Research Hospital, Department of Neurology, İstanbul, Turkey (GRID:grid.414850.c) (ISNI:0000 0004 0642 8921); İstanbul University, Neuroimaging Unit, Hulusi Behçet Life Sciences Research Lab, İstanbul, Turkey (GRID:grid.9601.e) (ISNI:0000 0001 2166 6619) | |
| 700 | 1 | |a Gürvit, Hakan |u İstanbul University, Department of Neurology, Faculty of Medicine, İstanbul, Turkey (GRID:grid.9601.e) (ISNI:0000 0001 2166 6619); İstanbul University, Neuroimaging Unit, Hulusi Behçet Life Sciences Research Lab, İstanbul, Turkey (GRID:grid.9601.e) (ISNI:0000 0001 2166 6619) | |
| 700 | 1 | |a Kabakçıoğlu, Alkan |u Koç University, Department of Physics, İstanbul, Turkey (GRID:grid.15876.3d) (ISNI:0000 0001 0688 7552) | |
| 700 | 1 | |a Acar, Burak |u Boğaziçi University, Department of Electrical & Electronics Engineering, İstanbul, Turkey (GRID:grid.11220.30) (ISNI:0000 0001 2253 9056) | |
| 773 | 0 | |t Neurological Sciences |g vol. 45, no. 12 (Dec 2024), p. 5719 | |
| 786 | 0 | |d ProQuest |t Consumer Health Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3126806597/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3126806597/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |