Spatial parcellations, spectral filtering, and connectivity measures in fMRI: Optimizing for discrimination

Author:

Sala-Llonch Roser1ORCID,Smith Stephen M.2,Woolrich Mark3,Duff Eugene P.24

Affiliation:

1. Faculty of Medicine, Department of Biomedicine; University of Barcelona; Barcelona Spain

2. Nuffield Department of Clinical Neurosciences, Functional Magnetic Resonance Imaging of the Brain Centre, Wellcome Centre for Integrative Neuroimaging; University of Oxford; Oxford United Kingdom

3. Department of Psychiatry, Oxford University Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging; University of Oxford; Oxford United Kingdom

4. Department of Paediatrics; University of Oxford; Oxford United Kingdom

Funder

University of Oxford

H2020 European Research Council

Spanish Ministerio de Economia y Competitividad

Wellcome Trust

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Reference65 articles.

1. Group-ICA model order highlights patterns of functional brain connectivity;Abou Elseoud;Frontiers in Systems Neuroscience,2011

2. Deriving reproducible biomarkers from multi-site resting-state data: An autism-based example;Abraham;NeuroImage,2017

3. Resting-state functional MR imaging: A new window to the brain;Barkhof;Radiology,2014

4. Investigations into resting-state connectivity using independent component analysis;Beckmann;Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences,2005

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