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Grey Matter Biomarker Identification in Schizophrenia: Detecting Regional Alterations and Their Underlying Substrates

16 Pages Posted: 4 Sep 2018 First Look: Under Review

Abstract

State-of-the-art approaches in Schizophrenia research investigate neuroanatomical biomarkers using structural Magnetic Resonance Imaging. However, current models are 1) voxel-wise, 2) difficult to interpret in biologically meaningful ways, and 3) difficult to replicate across studies. Here, we propose a machine learning framework that enables the identification of sparse, region-wise grey matter neuroanatomical biomarkers and their underlying biological substrates by integrating well-established statistical and machine learning approaches. We address the computational issues associated with application of machine learning on structural MRI data in Schizophrenia, as discussed in recent reviews, while promoting transparent science using widely available data and software. In this work, a cohort of patients with Schizophrenia and healthy controls was used. It was found that the cortical thickness in left pars orbitalis seems to be the most reliable measure for distinguishing patients with Schizophrenia from healthy controls.

Suggested Citation

Chatzi, Vasiliki and Teixeira, Rui Pedro A. G. and Shawe-Taylor, John and Altmann, Andre and O'Daly, Owen G. and Christiaens, Daan and Schrouff, Jessica and Tournier, J-Donald, Grey Matter Biomarker Identification in Schizophrenia: Detecting Regional Alterations and Their Underlying Substrates (September 1, 2018). NICL-18-688. Available at SSRN: https://ssrn.com/abstract=3242819

Vasiliki Chatzi (Contact Author)

King's College London

Strand
London, WC2R 2LS
United Kingdom

Rui Pedro A. G. Teixeira

Independent ( email )

No Address Available

John Shawe-Taylor

Independent ( email )

No Address Available

Andre Altmann

Independent

No Address Available

Owen G. O'Daly

Independent

No Address Available

Daan Christiaens

Independent

No Address Available

Jessica Schrouff

Independent ( email )

No Address Available

J-Donald Tournier

Independent

No Address Available

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