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 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 & Physics, 35 (10). pp. 1525-1531. ISSN 1873-4030

Full text not available from this repository.

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
Keywords: Functional connectivity Graph-based analysis Network topology Scale freeness Functional magnetic resonance imaging (fMRI) Parallel processing
Schools and Departments: Brighton and Sussex Medical School > Clinical Medicine
Brighton and Sussex Medical School > Neuroscience
Subjects: R Medicine
Related URLs:
Depositing User: Patricia Butler
Date Deposited: 24 Jul 2013 08:50
Last Modified: 27 Jul 2017 17:45
URI: http://sro.sussex.ac.uk/id/eprint/45748
📧 Request an update