Mechanism of Consistent Gyrus Formation: an Experimental and Computational Study

Zhang, Tuo; Razavi, Mir Jalil; Li, Xiao; Chen, Hanbo; Liu, Tianming; Wang, Xianqiao

doi:10.1038/srep37272

Cited by 24 publications

(29 citation statements)

References 62 publications

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“…Slight perturbation of convolution process coming from another direction could more easily produce interruptive short gyri between those "line-shape" gyri, and gives rise to 3-hinges. These observations and postulates are partially supported by our previous simulation studies on a single gyrus, in which a thin and long gyrus could be more easily disturbed and gives rise to tangential bends (Zhang et al, 2017). These interpretations could also explain why "line-shape" gyri are significantly more variable than "non-lineshape" ones with regard to the variance of 3-hinge numbers.…”

Section: Discussion S a N D C Onc Lu Sion Ssupporting

confidence: 72%

“…occipital lobe, temporal lobe, parietal lobe and frontal lobe (they are ordered according to their appearance timing. Please see the gyrogenesis and axonogenesis time course in Figure S8 from Razavi et al, 2017 for more details). This coincidence suggests that ontogenetic order could play a role in cortical folding and be related to interindividual variability.…”

Section: Discussion S a N D C Onc Lu Sion Smentioning

confidence: 99%

“…Compared with the later secondary and tertiary folding patterns, primary folding is particularly better preserved among individuals (Armstrong et al, 1995; Chi et al, 1977; Toro & Burnod, 2005; Lohmann et al 2008, Garel et al, 2001; Gilles et al 2013). Many hypotheses have been proposed to explore the mechanisms of primary folding, such as cranial constraint (Clark 1945; Chen et al 2010; Nie et al 2010), axon maturation (Van Essen 1997; Holland et al 2015; Zhang et al 2017; Zhang et al 2016b), and differential growth at the cellular level (Richman 1975; Bayly et al 2013; Ronan et al 2014; Tallinen et al 2014; Razavi et al 2015; Tallinen et al 2016). However, the mechanisms of secondary and tertiary folding remain largely unknown, which stimulates researchers from different disciplines to decipher the mechanisms of such complex morphogenesis.…”

Section: Introductionmentioning

confidence: 99%

“…Compared with the later secondary and tertiary folding patterns, primary folding is particularly better preserved among individuals (Armstrong et al, 1995;Chi et al, 1977;Toro, & Burnod, 2005;Lohmann et al, 2008, Garel et al, 2001Gilles et al, 2013). Many hypotheses have been proposed to explore the mechanisms of primary folding, such as cranial constraint (Chen et al, 2010;Clark, 1945;Nie et al, 2010), axon maturation (Holland et al, 2015;Van Essen, 1997;Zhang et al, 2016bZhang et al, , 2017, and differential growth at the cellular level (Bayly et al, 2013;Razavi et al, 2015;Richman et al, 1975;Ronan et al, 2014;Tallinen et al, 2014;Tallinen et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Exploring 3‐hinge gyral folding patterns among HCP Q3 868 human subjects

Zhang

Chen

Razavi

et al. 2018

Human Brain Mapping

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Comparison and integration of neuroimaging data from different brains and populations are fundamental in neuroscience. Over the past decades, the neuroimaging field has largely depended on image registration to compare and integrate neuroimaging data from individuals in a common reference space, with a basic assumption that the brains are similar. However, the intrinsic neuroanatomical complexity and huge interindividual cortical folding variation remain underexplored. Here we focus on a specific cortical convolution pattern, termed 3-hinge gyral folding, which is the conjunction of gyri from multiple orientations and has unique and consistent anatomically, structurally, and functionally connective patterns across subjects. By developing a novel shape descriptor and a two-stage clustering pipeline, we devise an automatic method to identify 3-hinges in the Human Connectome Project Q3 868 human brains, and further parameterize the complexity of such a pattern and quantify its regularity and variation in terms of 3-hinge number, position, and morphology. Our results not only exhibit the huge interindividual variations, but also reveal regular relationship between gyral hinges and other factors, such as their locations and cortical morphologies. It is found that "line-shape" cortices have relatively more consistent 3-hinge shape pattern distributions, and certain types of 3-hinge patterns favor particular cortical morphologies. In addition, more 3-hinges are found on "line-shape" cortices while their numbers vary more across subjects than those on "non-line-shape" cortices. This study adds new insights into a better understanding of the regularity and variability of human brain anatomy, and their functional aspects.

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Section: Discussion S a N D C Onc Lu Sion Ssupporting

confidence: 72%

Section: Discussion S a N D C Onc Lu Sion Smentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Compared with the later secondary and tertiary folding patterns, primary folding is particularly better preserved among individuals (Armstrong et al, 1995;Chi et al, 1977;Toro, & Burnod, 2005;Lohmann et al, 2008, Garel et al, 2001Gilles et al, 2013). Many hypotheses have been proposed to explore the mechanisms of primary folding, such as cranial constraint (Chen et al, 2010;Clark, 1945;Nie et al, 2010), axon maturation (Holland et al, 2015;Van Essen, 1997;Zhang et al, 2016bZhang et al, , 2017, and differential growth at the cellular level (Bayly et al, 2013;Razavi et al, 2015;Richman et al, 1975;Ronan et al, 2014;Tallinen et al, 2014;Tallinen et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Exploring 3‐hinge gyral folding patterns among HCP Q3 868 human subjects

Zhang

Chen

Razavi

et al. 2018

Human Brain Mapping

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“…We also found different connectivity patterns (Nie et al, 2012; Zhang et al, 2014) and functional roles (Deng et al, 2013; Jiang et al, 2016) between gyri and sulci. In addition, new computational models were proposed to study the mechanisms that regulate gyral development by simulating the process (Nie et al, 2010; Zhang et al, 2016). However, most of these studies only focused on specific brain ROIs.…”

Section: Introductionmentioning

confidence: 99%

Gyral net: A new representation of cortical folding organization

Chen

et al. 2017

Medical Image Analysis

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One distinct feature of the cerebral cortex is its convex (gyri) and concave (sulci) folding patterns. Due to the remarkable complexity and variability of gyral/sulcal shapes, it has been challenging to quantitatively model their organization patterns. Inspired by the observation that the lines of gyral crests can form a connected graph on each brain hemisphere, we propose a new representation of cortical gyri/sulci organization pattern – gyral net, which models cortical architecture from a graph perspective, starting with nodes and edges obtained from the reconstructed cortical surfaces. A novel computational framework is developed to efficiently and automatically construct gyral nets from surface meshes, and four measurements are devised to quantify the folding patterns. Using an MRI dataset for autism study as a test bed, we identified reduced local connectivity cost and increased curviness of gyral net bilaterally on the parietal lobe, occipital lobe, and temporal lobe in autistic patients. Additionally, we found that the cortical thickness and the gyral straightness of gyral joints are higher than the rest of gyral crest regions. The proposed representation offers a new tool for a comprehensive and reliable characterization of the cortical folding organization. This novel computational framework will enable large-scale analyses of cortical folding patterns in the future.

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Cortical thickness systematically varies with curvature and depth in healthy human brains

Demirci

Holland

2022

Human Brain Mapping

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Cortical thickness varies throughout the cortex in a systematic way. However, it is challenging to investigate the patterns of cortical thickness due to the intricate geometry of the cortex. The cortex has a folded nature both in radial and tangential directions which forms not only gyri and sulci but also tangential folds and intersections.In this article, cortical curvature and depth are used to characterize the spatial distribution of the cortical thickness with much higher resolution than conventional regional atlases. To do this, a computational pipeline was developed that is capable of calculating a variety of quantitative measures such as surface area, cortical thickness, curvature (mean curvature, Gaussian curvature, shape index, intrinsic curvature index, and folding index), and sulcal depth. By analyzing 501 neurotypical adult human subjects from the ABIDE-I dataset, we show that cortex has a very organized structure and cortical thickness is strongly correlated with local shape. Our results indicate that cortical thickness consistently increases along the gyral-sulcal spectrum from concave to convex shape, encompassing the saddle shape along the way. Additionally, tangential folds influence cortical thickness in a similar way as gyral and sulcal folds; outer folds are consistently thicker than inner.

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Mechanism of Consistent Gyrus Formation: an Experimental and Computational Study

Cited by 24 publications

References 62 publications

Exploring 3‐hinge gyral folding patterns among HCP Q3 868 human subjects

Exploring 3‐hinge gyral folding patterns among HCP Q3 868 human subjects

Gyral net: A new representation of cortical folding organization

Cortical thickness systematically varies with curvature and depth in healthy human brains

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