Detection of scale-freeness in brain connectivity by functional MRI: signal processing aspects and implementation of an open hardware co-processor

Minati, Ludovico, Nigri, Anna, Cercignani, Mara ORCID: https://orcid.org/0000-0002-4550-2456 and Chan, Dennis 2013. Detection of scale-freeness in brain connectivity by functional MRI: signal processing aspects and implementation of an open hardware co-processor. Medical Engineering and Physics 35 (10) , pp. 1525-1531. 10.1016/j.medengphy.2013.04.013

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Abstract

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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Psychology Cardiff University Brain Research Imaging Centre (CUBRIC)
Publisher:	Elsevier
ISSN:	1350-4533
Date of Acceptance:	17 April 2013
Last Modified:	09 Nov 2022 10:27
URI:	https://orca.cardiff.ac.uk/id/eprint/139519

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