Anatomy-Guided Spatio-Temporal Graph Convolutional Networks (AG-STGCNs) for Modeling Functional Connectivity Between Gyri and Sulci Across Multiple Task Domains

Jiang, Mingxin; Chen, Yuzhong; Yan, Jiadong; Xiao, Zhenxiang; Mao, Wei; Zhao, Bin; Yang, Suo; Zhao, Zhongbo; Zhang, Tuo; Guo, Lina; Becker, Benjamin; Yao, Dezhong; Kendrick, Keith M.; Jiang, Xi

doi:10.1109/tnnls.2022.3194733

Cited by 8 publications

(9 citation statements)

References 38 publications

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“…We find that for the three types of connections in the cortex (gyri-gyri, gyri-sulci, sulci-sulci), gyri-gyri are the most important connections in all task states at different thresholds, gyri-sulci in the middle and sulci-sulci at the least. This is consistent with our previous findings (M. Jiang et al, 2022).…”

Section: Discussionsupporting

confidence: 94%

“…Building upon these foundations, researchers have divided brain regions into gyri and sulci in various brain atlases, revealing functional (Liu et al, 2019; X. Jiang, Zhang, Zhang, Kendrick, & Liu, 2021; M. Jiang et al, 2022), and structural (Deng et al, 2014) distinctions.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Jiang et al, 2016). Recently, it has been discovered that the important functional connectivity between gyri is greater than that between sulci during different task states (M. Jiang et al, 2022). However, these studies primarily focus on exploring the functional characteristics of the brain through gyri and sulci, neglecting the potential role of subcortical regions in various tasks.…”

Section: Introductionmentioning

confidence: 99%

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Exploring the Brain Characteristics of Structure-informed Functional Connectivity through Graph Attention Network

Wang,

Toussaint,

Evans

et al. 2023

Preprint

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Independent brain regions in neuroanatomy achieve a specific function through connections. As one of the significant morphological features of the cerebral cortex, previous studies have found significant differences in the structure and function of the cerebral gyri and sulci, which provides a basis for us to study the functional connectivity differences between these two anatomic parts. Previous studies using fully connected functional connectivity (FC) and structural connectivity (SC) matrices found significant differences in the perspective of region or connection in gyri and sulci. However, a clear issue is that previous studies have only analyzed the differences through either FC or SC, without effectively integrating both. Meanwhile, another nonnegligible issue is that the subcortical areas, involved in various tasks, have not been systematically explored with cortical regions. Due to the strong coupling between FC and SC, we use SC-informed FC to systematically explore the functional characteristics of gyri/sulci and subcortical regions by combining deep learning method with magnetic resonance imaging (MRI) technology. Specifically, we use graph attention network (GAT) to explore the important connections in the SC-informed FC through the Human Connectome Project (HCP) dataset. With high classification results of above 99%, we have successfully discovered important connections under different tasks. We have successfully explored the importance of different types of connections. In low threshold, gyri-gyri are the most important connections. With the threshold increasing, sub-sub become the most important. Gyri have a higher importance in functional connectivity than sulci. In the seven task states, these connections are mainly distributed among the front, subcortical, and occipital. This study provides a novel way to explore the characteristics of functional connectivity at the whole brain scale.

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Section: Discussionsupporting

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Exploring the Brain Characteristics of Structure-informed Functional Connectivity through Graph Attention Network

Wang,

Toussaint,

Evans

et al. 2023

Preprint

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“…In recent studies, since the topology of the brain surface is highly folded as gyri and sulci, several hypotheses have been proposed regarding the formation, including external factors like the limits imposed by the brain skull (29,30), internal factors such as differential laminar growth (31), genetic regulation (32), axonal tension or pulling (33,34). While the exact mechanism behind cortical folding remains unknown, researchers have discovered significant differences between gyri and sulci in terms of anatomy (35,36), morphology (37), functional connectivity (16,38,39), and structural connectivity (40). This supports the notion that the cortical brain can be divided into two separate units: gyri, sulci.…”

Section: Commonality and Specificity In Each Mental Process's Fingerp...mentioning

confidence: 99%

Multi-task machine learning reveals the neuroanatomy fingerprint of mental processing

Wang,

Chen,

Mao

et al. 2023

Preprint

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Mental processing delineates the functions of the human mind encompassing a wide range of motor, sensory, emotional, and cognitive processes, each of which is underlain by the neuroanatomical substrates. Identifying accurate representation of neuroanatomical substrates of mental processing could inform understanding of its neural mechanism. The challenge is that it is unclear whether a specific mental process possesses a ’neuroanatomy fingerprint’, i.e., a unique pattern of neuroanatomy that determines the mental process. We used multi-task deep learning to disentangle the neuroanatomy fingerprint of a mental process from other multiple mental processes. The neuroanatomy fingerprint is a unique set of functional activity strength of whole-brain regions with high discrimination ability (AUC = 0.99) among different mental processes. The functional activity strength distribution of neuroanatomy fingerprint unveils both common and distinct brain regions involved in different mental processes. The neuroanatomy fingerprint also addresses a long-standing hypothesis: At least in Chinese and US populations, there consistently exists a neuroanatomy fingerprint to underlie the associated mental process.One-Sentence SummaryEach mental process has a neuroanatomy fingerprint, which is represented as a unique pattern of functional activity strength of whole-brain regions, to differentiate from other different mental processes.

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Cortical Morphological Networks Differ Between Gyri and Sulci

Lin,

Jin,

Yin

et al. 2024

Neurosci. Bull.

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This study explored how the human cortical folding pattern composed of convex gyri and concave sulci affected single-subject morphological brain networks, which are becoming an important method for studying the human brain connectome. We found that gyri-gyri networks exhibited higher morphological similarity, lower small-world parameters, and lower long-term test-retest reliability than sulci-sulci networks for cortical thickness- and gyrification index-based networks, while opposite patterns were observed for fractal dimension-based networks. Further behavioral association analysis revealed that gyri-gyri networks and connections between gyral and sulcal regions significantly explained inter-individual variance in Cognition and Motor domains for fractal dimension- and sulcal depth-based networks. Finally, the clinical application showed that only sulci-sulci networks exhibited morphological similarity reductions in major depressive disorder for cortical thickness-, fractal dimension-, and gyrification index-based networks. Taken together, these findings provide novel insights into the constraint of the cortical folding pattern to the network organization of the human brain.

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Anatomy-Guided Spatio-Temporal Graph Convolutional Networks (AG-STGCNs) for Modeling Functional Connectivity Between Gyri and Sulci Across Multiple Task Domains

Cited by 8 publications

References 38 publications

Exploring the Brain Characteristics of Structure-informed Functional Connectivity through Graph Attention Network

Exploring the Brain Characteristics of Structure-informed Functional Connectivity through Graph Attention Network

Multi-task machine learning reveals the neuroanatomy fingerprint of mental processing

Cortical Morphological Networks Differ Between Gyri and Sulci

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