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Automatic assessment of brain gyrification in patients

Published online by Cambridge University Press:  16 April 2020

J.L. Martinot
Affiliation:
INSERM-CEA Research Unit U.797, National Institute for Scientific and Medical Research (INSERM), Frederic Joliot Department, Atomic Energy Commission (CEA), IFR49, Orsay, France
P. McGuire
Affiliation:
Section of Neuroimaging, Institute of Psychiatry, London, United Kingdom
T. Kircher
Affiliation:
Klinik für Psychiatrie und Psychotherapie des Universitätsklinikums der RWTH, Aachen, Germany
D. Hubl
Affiliation:
Department of Psychiatric Neurophysiology, University Hospital of Clinical Psychiatry, Bern, Switzerland
P. Allen
Affiliation:
Section of Neuroimaging, Institute of Psychiatry, London, United Kingdom
M.L. Paillere-Martinot
Affiliation:
AP-HP, Department of Adolescent Medicine, Maison de Solenn, Cochin Hospital, Paris, France
A. Galinowski
Affiliation:
Department of Mental Health and Therapy, Sainte Anne Hospital, Paris, France
F. Bellivier
Affiliation:
AP-HP Psychiatry Department, H. Mondor Hospital, Creteil, France
D. Januel
Affiliation:
Clinical Research Unit G03, EPS Ville-Evrard at Saint-Denis, Saint-Denis, France
R. De Beaurepaire
Affiliation:
Paul Guiraud Hospital, Villejuif, France
M. Plaze
Affiliation:
INSERM-CEA Research Unit U.797, National Institute for Scientific and Medical Research (INSERM), Frederic Joliot Department, Atomic Energy Commission (CEA), IFR49, Orsay, France
E. Artiges
Affiliation:
INSERM-CEA Research Unit U.797, National Institute for Scientific and Medical Research (INSERM), Frederic Joliot Department, Atomic Energy Commission (CEA), IFR49, Orsay, France
J.F. Mangin
Affiliation:
INSERM-CEA Research Unit U.797, National Institute for Scientific and Medical Research (INSERM), Frederic Joliot Department, Atomic Energy Commission (CEA), IFR49, Orsay, France
A. Cachia
Affiliation:
INSERM-CEA Research Unit U.797, National Institute for Scientific and Medical Research (INSERM), Frederic Joliot Department, Atomic Energy Commission (CEA), IFR49, Orsay, France

Abstract

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Background

The most striking, yet poorly understood morphological features of the human cerebral cortex are the complex arrangements of its foldings: the sulci and gyri. Cortical gyrification is formed during fetal age and childhood. Thus, indices measuring the folding pattern could provide cues for the neurodevelopmental pathopsychology.

Method

A fully-automated method was applied to T1 magnetic resonance images to extract, label and measure the sulcus area in the whole cortex. Gyrification was assessed using both global and local sulcal indices, defined respectively as the ratio between the total sulcal area, or the area of each labeled sulcus, and the outer cortex area.

Results

As a validation, MRI datasets in controls showed that handedness modify the folding of the motor area in dominant hemisphere (Mangin 2004), and differences in left and right superior temporal sulci which may stem from language-based asymmetries (Ochiai 2004). In a sample of schizophrenia patients with treatment-resistant auditory hallucination, global sulcal surface index was decreased, and local sulci surface indices differed in language-related regions. Further analyses are performed in samples from various MR datasets. Statistics on such measurements should generalize across patients and hospitals.

Conclusion

The potential of the gyrification pattern for the neuroimage-based inference of developmental deviation will be examined.

Type
W11. Workshop: Dygyrification in Psychotic Disorders: Its Functional Significance and Molecular Foundations
Copyright
Copyright © European Psychiatric Association 2007
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