دورية أكاديمية
How the statistical validation of functional connectivity patterns can prevent erroneous definition of small-world properties of a brain connectivity network.
| العنوان: | How the statistical validation of functional connectivity patterns can prevent erroneous definition of small-world properties of a brain connectivity network. |
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| المؤلفون: | Toppi, J., de Vico Fallani, F, Vecchiato, G, Maglione, A G, Cincotti, F, Mattia, D, Salinari, S, Babiloni, F, Astolfi, L, Toppi, S |
| المساهمون: | Fondazione Santa Lucia IRCCS, Clinical and Behavioral Neurology IRCCS Santa Lucia, Dept. Human Physiology, Università degli Studi di Roma "La Sapienza" = Sapienza University Rome |
| المصدر: | ISSN: 1748-670X. |
| بيانات النشر: | HAL CCSD Hindawi Publishing Corporation |
| سنة النشر: | 2012 |
| المجموعة: | Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
| مصطلحات موضوعية: | MESH: Algorithms, MESH: Brain, MESH: Magnetoencephalography, MESH: Models, Neurological, Statistical, MESH: Neural Pathways, MESH: Probability, MESH: Signal Processing, Computer-Assisted, MESH: Software, MESH: Brain Mapping, MESH: Computational Biology, MESH: Computer Simulation, MESH: Electrodes, MESH: Electroencephalography, MESH: Hemodynamics, MESH: Humans, MESH: Magnetic Resonance Imaging, [SDV.IB]Life Sciences [q-bio]/Bioengineering |
| الوصف: | International audience ; The application of Graph Theory to the brain connectivity patterns obtained from the analysis of neuroelectrical signals has provided an important step to the interpretation and statistical analysis of such functional networks. The properties of a network are derived from the adjacency matrix describing a connectivity pattern obtained by one of the available functional connectivity methods. However, no common procedure is currently applied for extracting the adjacency matrix from a connectivity pattern. To understand how the topographical properties of a network inferred by means of graph indices can be affected by this procedure, we compared one of the methods extensively used in Neuroscience applications (i.e. fixing the edge density) with an approach based on the statistical validation of achieved connectivity patterns. The comparison was performed on the basis of simulated data and of signals acquired on a polystyrene head used as a phantom. The results showed (i) the importance of the assessing process in discarding the occurrence of spurious links and in the definition of the real topographical properties of the network, and (ii) a dependence of the small world properties obtained for the phantom networks from the spatial correlation of the neighboring electrodes. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| العلاقة: | info:eu-repo/semantics/altIdentifier/pmid/22919427; hal-01443263; https://hal.inria.fr/hal-01443263Test; PUBMED: 22919427 |
| الإتاحة: | https://hal.inria.fr/hal-01443263Test |
| رقم الانضمام: | edsbas.912BFD30 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |