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Detection of scale-freeness in brain connectivity by functional MRI: signal processing aspects and implementation of an open hardware co-processor
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posted on 2023-06-08, 15:26 authored by Ludovico Minati, Anna Nigri, Mara Cercignani, Dennis ChanAn outstanding issue in graph-theoretical studies of brain functional connectivity is the lack of formal criteria for choosing parcellation granularity and correlation threshold. Here, we propose detectability of scale-freeness as a benchmark to evaluate time-series extraction settings. Scale-freeness, i.e., power-law distribution of node connections, is a fundamental topological property that is highly conserved across biological networks, and as such needs to be manifest within plausible reconstructions of brain connectivity. We demonstrate that scale-free network topology only emerges when adequately fine cortical parcellations are adopted alongside an appropriate correlation threshold, and provide the full design of the first open-source hardware platform to accelerate the calculation of large linear regression arrays.
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Publication status
- Published
Journal
Medical Engineering & PhysicsISSN
1350-4533Publisher
ElsevierExternal DOI
Issue
10Volume
35Page range
1525-1531Department affiliated with
- Clinical and Experimental Medicine Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2013-07-24Usage metrics
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