Hubs of long-distance co-alteration characterize brain pathology
| Autor: | Donato Liloia, Franco Cauda, Enrico Premi, Gabriele Gelmini, Sergio Duca, Linda Ficco, Lorenzo Mancuso, Tommaso Costa, Andrea Nani, Jordi Manuello |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Pathology
medicine.medical_specialty Databases Factual Topological distance Prefrontal Cortex Neuroimaging Context (language use) Disease Biology 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine Alzheimer Disease medicine Humans 0501 psychology and cognitive sciences Radiology Nuclear Medicine and imaging physical distance Gray Matter network degeneration VBM Research Articles Alzheimer's disease pathology spread schizophrenia topological distance transdiagnostic Cerebral Cortex Radiological and Ultrasound Technology Clinical neuroscience 05 social sciences medicine.disease Magnetic Resonance Imaging Euclidean distance Neurology Schizophrenia Neurology (clinical) Nerve Net Anatomy 030217 neurology & neurosurgery Research Article |
| Zdroj: | Human Brain Mapping |
| Popis: | It is becoming clearer that the impact of brain diseases is more convincingly represented in terms of co‐alterations rather than in terms of localization of alterations. In this context, areas characterized by a long mean distance of co‐alteration may be considered as hubs with a crucial role in the pathology. We calculated meta‐analytic transdiagnostic networks of co‐alteration for the gray matter decreases and increases, and we evaluated the mean Euclidean, fiber‐length, and topological distance of its nodes. We also examined the proportion of co‐alterations between canonical networks, and the transdiagnostic variance of the Euclidean distance. Furthermore, disease‐specific analyses were conducted on schizophrenia and Alzheimer's disease. The anterodorsal prefrontal cortices appeared to be a transdiagnostic hub of long‐distance co‐alterations. Also, the disease‐specific analyses showed that long‐distance co‐alterations are more able than classic meta‐analyses to identify areas involved in pathology and symptomatology. Moreover, the distance maps were correlated with the normative connectivity. Our findings substantiate the network degeneration hypothesis in brain pathology. At the same time, they suggest that the concept of co‐alteration might be a useful tool for clinical neuroscience. The authors calculated the mean distance of co‐alteration in a meta‐analytical and transdiagnostic fashion to evaluate the hubs of anatomical modification. Those hubs of long‐distance co‐occurrence of volumetric alteration present a significant similarity to those of functional degree centrality, providing evidence for a network‐degeneration paradigm in brain disease. The authors point out that a network science approach might be an effective method for the study of pathoanatomy. |
| Databáze: | OpenAIRE |
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