Development of cortical shape in the human brain from 6 to 24months of age via a novel measure of shape complexity

The Ibis Network

    Research output: Contribution to journalArticle

    Abstract

    The quantification of local surface morphology in the human cortex is important for examining population differences as well as developmental changes in neurodegenerative or neurodevelopmental disorders. We propose a novel cortical shape measure, referred to as the 'shape complexity index' (SCI), that represents localized shape complexity as the difference between the observed distributions of local surface topology, as quantified by the shape index (SI) measure, to its best fitting simple topological model within a given neighborhood. We apply a relatively small, adaptive geodesic kernel to calculate the SCI. Due to the small size of the kernel, the proposed SCI measure captures fine differences of cortical shape. With this novel cortical feature, we aim to capture comparatively small local surface changes that capture a) the widening versus deepening of sulcal and gyral regions, as well as b) the emergence and development of secondary and tertiary sulci. Current cortical shape measures, such as the gyrification index (GI) or intrinsic curvature measures, investigate the cortical surface at a different scale and are less well suited to capture these particular cortical surface changes. In our experiments, the proposed SCI demonstrates higher complexity in the gyral/sulcal wall regions, lower complexity in wider gyral ridges and lowest complexity in wider sulcal fundus regions. In early postnatal brain development, our experiments show that SCI reveals a pattern of increased cortical shape complexity with age, as well as sexual dimorphisms in the insula, middle cingulate, parieto-occipital sulcal and Broca's regions. Overall, sex differences were greatest at 6 months of age and were reduced at 24 months, with the difference pattern switching from higher complexity in males at 6 months to higher complexity in females at 24 months. This is the first study of longitudinal, cortical complexity maturation and sex differences, in the early postnatal period from 6 to 24. months of age with fine scale, cortical shape measures. These results provide information that complement previous studies of gyrification index in early brain development.

    Original languageEnglish (US)
    Pages (from-to)163-176
    Number of pages14
    JournalNeuroImage
    Volume135
    DOIs
    StatePublished - Jul 15 2016

    Fingerprint

    Sex Characteristics
    Brain
    Occipital Lobe
    Neurodegenerative Diseases
    Longitudinal Studies
    Population
    Broca Area
    Neurodevelopmental Disorders

    Keywords

    • Age effect
    • And sexual dimorphism
    • Earth mover distance
    • Shape complexity index
    • Shape index

    ASJC Scopus subject areas

    • Cognitive Neuroscience
    • Neurology

    Cite this

    Development of cortical shape in the human brain from 6 to 24months of age via a novel measure of shape complexity. / The Ibis Network.

    In: NeuroImage, Vol. 135, 15.07.2016, p. 163-176.

    Research output: Contribution to journalArticle

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    title = "Development of cortical shape in the human brain from 6 to 24months of age via a novel measure of shape complexity",
    abstract = "The quantification of local surface morphology in the human cortex is important for examining population differences as well as developmental changes in neurodegenerative or neurodevelopmental disorders. We propose a novel cortical shape measure, referred to as the 'shape complexity index' (SCI), that represents localized shape complexity as the difference between the observed distributions of local surface topology, as quantified by the shape index (SI) measure, to its best fitting simple topological model within a given neighborhood. We apply a relatively small, adaptive geodesic kernel to calculate the SCI. Due to the small size of the kernel, the proposed SCI measure captures fine differences of cortical shape. With this novel cortical feature, we aim to capture comparatively small local surface changes that capture a) the widening versus deepening of sulcal and gyral regions, as well as b) the emergence and development of secondary and tertiary sulci. Current cortical shape measures, such as the gyrification index (GI) or intrinsic curvature measures, investigate the cortical surface at a different scale and are less well suited to capture these particular cortical surface changes. In our experiments, the proposed SCI demonstrates higher complexity in the gyral/sulcal wall regions, lower complexity in wider gyral ridges and lowest complexity in wider sulcal fundus regions. In early postnatal brain development, our experiments show that SCI reveals a pattern of increased cortical shape complexity with age, as well as sexual dimorphisms in the insula, middle cingulate, parieto-occipital sulcal and Broca's regions. Overall, sex differences were greatest at 6 months of age and were reduced at 24 months, with the difference pattern switching from higher complexity in males at 6 months to higher complexity in females at 24 months. This is the first study of longitudinal, cortical complexity maturation and sex differences, in the early postnatal period from 6 to 24. months of age with fine scale, cortical shape measures. These results provide information that complement previous studies of gyrification index in early brain development.",
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    AU - The Ibis Network

    AU - Kim, Sun Hyung

    AU - Lyu, Ilwoo

    AU - Fonov, Vladimir S.

    AU - Vachet, Clement

    AU - Hazlett, Heather C.

    AU - Smith, Rachel G.

    AU - Piven, Joseph

    AU - Dager, Stephen R.

    AU - Mckinstry, Robert C.

    AU - Pruett, John R.

    AU - Evans, Alan C.

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    AU - Botteron, Kelly N.

    AU - Schultz, Robert T.

    AU - Gerig, Guido

    AU - Styner, Martin A.

    AU - Piven, J.

    AU - Hazlett, H. C.

    AU - Chappell, C.

    AU - Dager, S.

    AU - Estes, A.

    AU - Shaw, D.

    AU - Botteron, K.

    AU - McKinstry, R.

    AU - Constantino, J.

    AU - Pruett, J.

    AU - Schultz, R.

    AU - Paterson, S.

    AU - Zwaigenbaum, L.

    AU - Ellison, J.

    AU - Evans, A. C.

    AU - Collins, D. L.

    AU - Pike, G. B.

    AU - Fonov, V.

    AU - Kostopoulos, P.

    AU - Das, S.

    AU - Gerig, G.

    AU - Styner, M.

    AU - Gu, H.

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    N2 - The quantification of local surface morphology in the human cortex is important for examining population differences as well as developmental changes in neurodegenerative or neurodevelopmental disorders. We propose a novel cortical shape measure, referred to as the 'shape complexity index' (SCI), that represents localized shape complexity as the difference between the observed distributions of local surface topology, as quantified by the shape index (SI) measure, to its best fitting simple topological model within a given neighborhood. We apply a relatively small, adaptive geodesic kernel to calculate the SCI. Due to the small size of the kernel, the proposed SCI measure captures fine differences of cortical shape. With this novel cortical feature, we aim to capture comparatively small local surface changes that capture a) the widening versus deepening of sulcal and gyral regions, as well as b) the emergence and development of secondary and tertiary sulci. Current cortical shape measures, such as the gyrification index (GI) or intrinsic curvature measures, investigate the cortical surface at a different scale and are less well suited to capture these particular cortical surface changes. In our experiments, the proposed SCI demonstrates higher complexity in the gyral/sulcal wall regions, lower complexity in wider gyral ridges and lowest complexity in wider sulcal fundus regions. In early postnatal brain development, our experiments show that SCI reveals a pattern of increased cortical shape complexity with age, as well as sexual dimorphisms in the insula, middle cingulate, parieto-occipital sulcal and Broca's regions. Overall, sex differences were greatest at 6 months of age and were reduced at 24 months, with the difference pattern switching from higher complexity in males at 6 months to higher complexity in females at 24 months. This is the first study of longitudinal, cortical complexity maturation and sex differences, in the early postnatal period from 6 to 24. months of age with fine scale, cortical shape measures. These results provide information that complement previous studies of gyrification index in early brain development.

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