Functional networks of anatomic brain regions

Velioglu, Burak; Aksan, Emre; Önal, Itır; Fırat, Orhan; Özay, Mete; Vural, Fatoş T. Yarman

doi:10.1109/icci-cc.2014.6921441

Cited by 2 publications

(1 citation statement)

References 21 publications

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“…Although this method yields a clear view of the functional connectivities between one region of interest (the seed region) and other regions (Biswal et al, 1995;Cordes et al, 2000), it fails to examine the functional network on a whole brain scale. Alternatively, Velioglu et al (2014) proposed to form meshes around a seed voxel by regressing p functionally nearest neighbor voxels on the seed voxel, where number of regressors p is determined by minimizing the Akaike's final prediction error (Akaike, 1969).…”

Section: Introductionmentioning

confidence: 99%

High-dimensional tests for functional networks of brain anatomic regions

Xie

Kang

2017

Journal of Multivariate Analysis

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Exploring resting-state brain functional connectivity of autism spectrum disorders (ASD) using functional magnetic resonance imaging (fMRI) data has become a popular topic over the past few years. The data in a standard brain template consist of over 170,000 voxel specific points in time for each human subject. Such an ultra-high dimensionality makes the voxel-level functional connectivity analysis (involving four billion voxel pairs) both statistically and computationally inefficient. In this work, we introduce a new framework to identify the functional brain network at the anatomical region level for each individual. We propose two pairwise tests to detect region dependence, and one multiple testing procedure to identify global structures of the network. The limiting null distribution of each test statistic is derived. It is also shown that the tests are rate optimal when the alternative block networks are sparse. The numerical studies show that the proposed tests are valid and powerful. We apply our method to a resting-state fMRI study on autism and identify patient-unique and control-unique hub regions. These findings are biologically meaningful and consistent with the existing literature.

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Section: Introductionmentioning

confidence: 99%