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DC Field | Value | Language |
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dc.contributor.author | Farrugia, Christine | - |
dc.contributor.author | Galdi, Paola | - |
dc.contributor.author | Arenzana Irazu, Irati | - |
dc.contributor.author | Scerri, Kenneth | - |
dc.contributor.author | Bajada, Claude J. | - |
dc.date.accessioned | 2024-02-02T07:29:28Z | - |
dc.date.available | 2024-02-02T07:29:28Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Farrugia, C., Galdi, P., Irazu, I. A., Scerri, K., & Bajada, C. J. (2022). Local gradient analysis of human brain function using the Vogt-Bailey Index. Brain Structure and Function, 10.1007/s00429-023-02751-7. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/118107 | - |
dc.description.abstract | In this work, we take a closer look at the Vogt-Bailey (VB) index, proposed in Bajada et al. (NeuroImage 221:117140, 2020) as a tool for studying local functional homogeneity in the human cortex. We interpret the VB index in terms of the minimum ratio cut, a scaled cut-set weight that indicates whether a network can easily be disconnected into two parts having a comparable number of nodes. In our case, the nodes of the network consist of a brain vertex/voxel and its neighbours, and a given edge is weighted according to the affinity of the nodes it connects (as reflected by the modified Pearson correlation between their fMRI time series). Consequently, the minimum ratio cut quantifies the degree of small-scale similarity in brain activity: the greater the similarity, the ‘heavier’ the edges and the more difficult it is to disconnect the network, hence the higher the value of the minimum ratio cut. We compare the performance of the VB index with that of the Regional Homogeneity (ReHo) algorithm, commonly used to assess whether voxels in close proximity have synchronised fMRI signals, and find that the VB index is uniquely placed to detect sharp changes in the (local) functional organization of the human cortex. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Springer | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Brain -- Localization of functions | en_GB |
dc.subject | Cerebral cortex | en_GB |
dc.subject | Neocortex | en_GB |
dc.title | Local gradient analysis of human brain function using the Vogt‑Bailey index | en_GB |
dc.type | article | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1007/s00429-023-02751-7 | - |
dc.publication.title | Brain Structure and Function | en_GB |
Appears in Collections: | Scholarly Works - FacM&SPB |
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Local_gradient_analysis_of_human_brain_function_using_the_Vogt_Bailey_index_2022.pdf | 1.85 MB | Adobe PDF | View/Open |
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