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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

journal contribution
posted on 2023-06-08, 15:26 authored by Ludovico Minati, Anna Nigri, Mara Cercignani, Dennis Chan
An 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.

History

Publication status

  • Published

Journal

Medical Engineering & Physics

ISSN

1350-4533

Publisher

Elsevier

Issue

10

Volume

35

Page range

1525-1531

Department affiliated with

  • Clinical and Experimental Medicine Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2013-07-24

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