A framework to study the cortical folding patterns

Mangin, Jean‐François; Rivière, Denis; Cachia, Arnaud; Duchesnay, Édouard; Yann, C.; Papadopoulos‐Orfanos, Dimitri; Scifo, Paola; Ochiai, Taku; Brunelle, Françis; Régis, Jean

doi:10.1016/j.neuroimage.2004.07.019

Cited by 265 publications

(208 citation statements)

References 60 publications

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“…Choosing a reference brain is a debated issue (Hellier et al, 2003;Mangin et al, 2004). Although some studies indicate that the choice of the reference brain has minimal influence on the results (Guimond et al, 2000), we observed (data not shown) that the choice of an outlier can produce major and inappropriate, i.e., unsmooth, transformations for all other brains.…”

Section: Local Landmark-based Registrationmentioning

confidence: 64%

Local landmark-based registration for fMRI group studies of nonprimary auditory cortex

et al. 2009

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Interindividual functional and structural brain variability is a major problem in group studies, in which very focal activations are expected. Architectonic studies have shown that the human primary auditory area, which is located with a great constancy on Heschl's gyrus, is surrounded by several nonprimary auditory areas with surface areas of 40-310 mm 2 . The small size of the latter makes them only partially accessible to fMRI group studies, because of imprecision in realignment when using currently available registration procedures. We describe here a new method for sulcal realignment using a non-rigid local landmark-based registration and show its application to the registration of fMRI acquisitions on the supratemporal plane. After an affine global voxel-based registration, which transforms all brains into the same standard space, we propose a non-rigid local landmark-based registration method based on thin-plate splines for matching the two sulci delimiting Heschl's gyrus of a given brain to the corresponding sulci of a reference brain. We show here that, in comparison with global affine and non-rigid approaches, our method leads in group studies to i) a much more precise alignment of Heschl's gyrus; and ii) a putatively optimal superposition of functionally corresponding areas on and around Heschl's gyrus.

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Section: Local Landmark-based Registrationmentioning

confidence: 64%

Local landmark-based registration for fMRI group studies of nonprimary auditory cortex

et al. 2009

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“…Although there are similarities in terms of the main fissures, the GM foldings are very inconsistent across individuals even in standard populations (Mangin et al, 2004;Riviere et al, 2002), see Fig. 1.…”

Section: Accounting For Inter-subject Gm Variabilitymentioning

confidence: 96%

Anatomically-adapted graph wavelets for improved group-level fMRI activation mapping

et al. 2015

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A graph based framework for fMRI brain activation mapping is presented. The approach exploits the spectral graph wavelet transform (SGWT) for the purpose of defining an advanced multi-resolutional spatial transformation for fMRI data. The framework extends wavelet based SPM (WSPM), which is an alternative to the conventional approach of statistical parametric mapping (SPM), and is developed specifically for group-level analysis. We present a novel procedure for constructing brain graphs, with subgraphs that separately encode the structural connectivity of the cerebral and cerebellar gray matter (GM), and address the inter-subject GM variability by the use of template GM representations. Graph wavelets tailored to the convoluted boundaries of GM are then constructed as a means to implement a GM-based spatial transformation on fMRI data. The proposed approach is evaluated using real as well as semi-synthetic multi-subject data. Compared to SPM and WSPM using classical wavelets, the proposed approach shows superior type-I error control. The results on real data suggest a higher detection sensitivity as well as the capability to capture subtle, connected patterns of brain activity.

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“…One class of approaches to folding analysis rely on spatial normalization [1,2] and subsequently perform statistical hypothesis testing at every voxel or surface element in the normalized space. However, the difficulty in finding sufficiently-many homologous features [3,4] may directly affect the normalization and, thereby, the reliability of findings in the clinical study. Furthermore, the phenomenon of cortical folding has an inherent large-scale or non-local character.…”

Section: Introductionmentioning

confidence: 99%

Gender Differences in Cerebral Cortical Folding: Multivariate Complexity-Shape Analysis with Insights into Handling Brain-Volume Differences

Awate

Yushkevich

Licht

et al. 2009

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009

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Abstract. This paper presents a study of gender differences in adult human cerebral cortical folding patterns. The study employs a new multivariate statistical descriptor for analyzing folding patterns in a region of interest (ROI) and a rigorous nonparametric permutation-based scheme for hypothesis testing. Unlike typical ROI-based methods that summarize folding complexity or shape by single/few numbers, the proposed descriptor systematically constructs a unified description of complexity and shape in a high-dimensional space (thousands of numbers/dimensions). Furthermore, this paper presents new mathematical insights into the relationship of intra-cranial volume (ICV) with cortical complexity and shows that conventional complexity descriptors implicitly handle ICV differences in different ways, thereby lending different meanings to "complexity". This paper describes two systematic methods for handling ICV changes in folding studies using the proposed descriptor. The clinical study in this paper exploits these theoretical insights to demonstrate that (i) the answer to which gender has higher/lower "complexity" depends on how a folding measure handles ICV differences and (ii) cortical folds in males and females differ significantly in shape as well.

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A framework to study the cortical folding patterns

Cited by 265 publications

References 60 publications

Local landmark-based registration for fMRI group studies of nonprimary auditory cortex

Local landmark-based registration for fMRI group studies of nonprimary auditory cortex

Anatomically-adapted graph wavelets for improved group-level fMRI activation mapping

Gender Differences in Cerebral Cortical Folding: Multivariate Complexity-Shape Analysis with Insights into Handling Brain-Volume Differences

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