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Yadav R, Dupé FX, Takerkart S, Auzias G. Population-wise labeling of sulcal graphs using multi-graph matching. PLoS One 2023; 18:e0293886. [PMID: 37943809 PMCID: PMC10635518 DOI: 10.1371/journal.pone.0293886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 10/23/2023] [Indexed: 11/12/2023] Open
Abstract
Population-wise matching of the cortical folds is necessary to compute statistics, a required step for e.g. identifying biomarkers of neurological or psychiatric disorders. The difficulty arises from the massive inter-individual variations in the morphology and spatial organization of the folds. The task is challenging both methodologically and conceptually. In the widely used registration-based techniques, these variations are considered as noise and the matching of folds is only implicit. Alternative approaches are based on the extraction and explicit identification of the cortical folds. In particular, representing cortical folding patterns as graphs of sulcal basins-termed sulcal graphs-enables to formalize the task as a graph-matching problem. In this paper, we propose to address the problem of sulcal graph matching directly at the population level using multi-graph matching techniques. First, we motivate the relevance of the multi-graph matching framework in this context. We then present a procedure for generating populations of artificial sulcal graphs, which allows us to benchmark several state-of-the-art multi-graph matching methods. Our results on both artificial and real data demonstrate the effectiveness of multi-graph matching techniques in obtaining a population-wise consistent labeling of cortical folds at the sulcal basin level.
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Affiliation(s)
- Rohit Yadav
- Institut de Neurosciences de la Timone UMR 7289, CNRS, Aix-Marseille Université, Marseille, France
- Institut Marseille Imaging, Aix Marseille Université, Marseille, France
- Laboratoire d’Informatique et Systèmes UMR 7020, CNRS, Aix-Marseille Université, Marseille, France
| | - François-Xavier Dupé
- Laboratoire d’Informatique et Systèmes UMR 7020, CNRS, Aix-Marseille Université, Marseille, France
| | - Sylvain Takerkart
- Institut de Neurosciences de la Timone UMR 7289, CNRS, Aix-Marseille Université, Marseille, France
| | - Guillaume Auzias
- Institut de Neurosciences de la Timone UMR 7289, CNRS, Aix-Marseille Université, Marseille, France
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Nowinski WL. On presentation of the human cerebral sulci from inside of the cerebrum. J Anat 2023; 243:690-696. [PMID: 37218094 PMCID: PMC10485573 DOI: 10.1111/joa.13880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 04/04/2023] [Accepted: 04/10/2023] [Indexed: 05/24/2023] Open
Abstract
The human cerebral cortex is highly convoluted forming patterns of gyri separated by sulci. The cerebral sulci and gyri are fundamental in cortical anatomy as well as neuroimage processing and analysis. Narrow and deep cerebral sulci are not fully discernible either on the cortical or white matter surface. To cope with this limitation, I propose a new sulci presentation method that employs the inner cortical surface for sulci examination from the inside of the cerebrum. The method has four steps, construct the cortical surface, segment and label the sulci, dissect (open) the cortical surface, and explore the fully exposed sulci from the inside. The inside sulcal maps are created for the left and right lateral, left and right medial, and basal hemispheric surfaces with the sulci parcellated by color and labeled. These three-dimensional sulcal maps presented here are probably the first of this kind created. The proposed method demonstrates the full course and depths of sulci, including narrow, deep, and/or convoluted sulci, which has an educational value and facilitates their quantification. In particular, it provides a straightforward identification of sulcal pits which are valuable markers in studying neurologic disorders. It enhances the visibility of sulci variations by exposing branches, segments, and inter-sulcal continuity. The inside view also clearly demonstrates the sulcal wall skewness along with its variability and enables its assessment. Lastly, this method exposes the sulcal 3-hinges introduced here.
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Li X, Wang W, Wang P, Hao C, Li Z. Atypical sulcal pattern in boys with attention-deficit/hyperactivity disorder. Hum Brain Mapp 2021; 42:4362-4371. [PMID: 34057775 PMCID: PMC8356996 DOI: 10.1002/hbm.25552] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 05/22/2021] [Accepted: 05/24/2021] [Indexed: 12/21/2022] Open
Abstract
Neurodevelopmental disorders, such as attention‐deficit/hyperactivity disorder (ADHD), are often accompanied by disrupted cortical folding. We applied a quantitative sulcal pattern analysis technique using graph structures to study the atypical cortical folding at the lobar level in ADHD brains in this study. A total of 183 ADHD patients and 167 typical developmental controls matched according to age and gender were enrolled. We first constructed sulcal graphs at the brain lobar level and then investigated their similarity to the typical sulcal patterns. The within‐group variability and interhemispheric similarity in sulcal patterns were also compared between the ADHD and TDC groups. The results showed that, compared with controls, the left frontal, right parietal, and temporal lobes displayed altered similarities to the typical sulcal patterns in patients with ADHD. Moreover, the sulcal patterns in ADHD seem to be more heterogeneous than those in controls. The results also identified the disruption of the typical asymmetric sulcal patterns in the frontal lobe between the ADHD and control groups. Taken together, our results revealed the atypical sulcal pattern in boys with ADHD and provide new insights into the neuroanatomical mechanisms of ADHD.
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Affiliation(s)
- Xinwei Li
- Chongqing Post-doctoral Research Station of Medical Electronics and Information Technology, Chongqing University of Posts and Telecommunications, Chongqing, China.,Chongqing Engineering Laboratory of Digital Medical Equipment and Systems, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Wei Wang
- Chongqing Engineering Laboratory of Digital Medical Equipment and Systems, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Panyu Wang
- College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Chenru Hao
- Department of Medical Physics, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Zhangyong Li
- Chongqing Post-doctoral Research Station of Medical Electronics and Information Technology, Chongqing University of Posts and Telecommunications, Chongqing, China.,Chongqing Engineering Laboratory of Digital Medical Equipment and Systems, Chongqing University of Posts and Telecommunications, Chongqing, China
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Fu G, Chen W, Li H, Wang Y, Liu L, Qian Q. A potential association of RNF219-AS1 with ADHD: Evidence from categorical analysis of clinical phenotypes and from quantitative exploration of executive function and white matter microstructure endophenotypes. CNS Neurosci Ther 2021; 27:603-616. [PMID: 33644999 PMCID: PMC8025624 DOI: 10.1111/cns.13629] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 01/25/2021] [Accepted: 02/07/2021] [Indexed: 01/01/2023] Open
Abstract
AIMS Attention-deficit/hyperactivity disorder (ADHD) is a neuropsychiatric disorder of substantial heritability, yet emerging evidence suggests that key risk variants might reside in the noncoding regions of the genome. Our study explored the association of lncRNAs (long noncoding RNAs) with ADHD as represented at three different phenotypic levels guided by the Research Domain Criteria (RDoC) framework: (i) ADHD caseness and symptom dimension, (ii) executive functions as functional endophenotype, and (iii) potential genetic influence on white matter architecture as brain structural endophenotype. METHODS Genotype data of 107 tag single nucleotide polymorphisms (SNP) from 10 candidate lncRNAs were analyzed in 1040 children with ADHD and 630 controls of Chinese Han descent. Executive functions including inhibition and set-shifting were assessed by STROOP and trail making tests, respectively. Imaging genetic analyses were performed in a subgroup of 33 children with ADHD and 55 controls using fractional anisotropy (FA). RESULTS One SNP rs3908461 polymorphism in RNF219-AS1 was found to be significantly associated with ADHD caseness: with C-allele detected as the risk genotype in the allelic model (P = 8.607E-05) and dominant genotypic model (P = 9.628E-05). Nominal genotypic effects on inhibition (p = 0.020) and set-shifting (p = 0.046) were detected. While no direct effect on ADHD core symptoms was detected, mediation analysis suggested that SNP rs3908461 potentially exerted an indirect effect through inhibition function [B = 0.21 (SE = 0.12), 95% CI = 0.02-0.49]. Imaging genetic analyses detected significant associations between rs3908461 genotypes and FA values in corpus callosum, left superior longitudinal fasciculus, left posterior limb of internal capsule, left posterior thalamic radiate (include optic radiation), and the left anterior corona radiate (P FWE corrected < 0.05). CONCLUSION Our present study examined the potential roles of lncRNA in genetic etiological of ADHD and provided preliminary evidence in support of the potential RNF219-AS1 involvement in the pathophysiology of ADHD in line with the RDoC framework.
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Affiliation(s)
- Guang‐Hui Fu
- Peking University Sixth Hospital/Institute of Mental HealthBeijingChina
- National Clinical Research Center for Mental Disorders & The Key Laboratory of Mental HealthMinistry of Health (Peking UniversityBeijingChina
| | - Wai Chen
- Mental Health ServiceFiona Stanley HospitalPerthAustralia
- Graduate School of EducationThe University of Western AustraliaPerthAustralia
- School of MedicineThe University of Notre Dame AustraliaFremantleAustralia
- School of PsychologyMurdoch UniversityPerthAustralia
| | - Hai‐Mei Li
- Peking University Sixth Hospital/Institute of Mental HealthBeijingChina
- National Clinical Research Center for Mental Disorders & The Key Laboratory of Mental HealthMinistry of Health (Peking UniversityBeijingChina
| | - Yu‐Feng Wang
- Peking University Sixth Hospital/Institute of Mental HealthBeijingChina
- National Clinical Research Center for Mental Disorders & The Key Laboratory of Mental HealthMinistry of Health (Peking UniversityBeijingChina
| | - Lu Liu
- Peking University Sixth Hospital/Institute of Mental HealthBeijingChina
- National Clinical Research Center for Mental Disorders & The Key Laboratory of Mental HealthMinistry of Health (Peking UniversityBeijingChina
| | - Qiu‐Jin Qian
- Peking University Sixth Hospital/Institute of Mental HealthBeijingChina
- National Clinical Research Center for Mental Disorders & The Key Laboratory of Mental HealthMinistry of Health (Peking UniversityBeijingChina
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Guo X, Liu L, Li T, Zhao Q, Li H, Huang F, Wang Y, Qian Q, Cao Q, Wang Y, Calhoun VD, Sui J, Sun L. Inhibition-directed multimodal imaging fusion patterns in adults with ADHD and its potential underlying "gene-brain-cognition" relationship. CNS Neurosci Ther 2021; 27:664-673. [PMID: 33724699 PMCID: PMC8111492 DOI: 10.1111/cns.13625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 01/27/2021] [Accepted: 01/30/2021] [Indexed: 11/30/2022] Open
Abstract
Aims Inhibition deficits have been suggested to be a core cognitive impairment in attention‐deficit/hyperactivity disorder (ADHD). Exploring imaging patterns and the potential genetic components associated with inhibition deficits would definitely promote our understanding of the neuropathological mechanism of ADHD. This study aims to investigate the multimodal imaging fusion features related to inhibition deficits in adults with ADHD (aADHD) and to make an exploratory analysis of the role of inhibition‐related gene, NOS1, on those brain alterations. Methods Specifically, multisite canonical correlation analysis with reference plus joint independent component analysis (MCCAR + jICA) was conducted to identify the joint co‐varying gray matter volume (GMV) and the functional connectivity (FC) features related to inhibition in 69 aADHD and 44 healthy controls. Then, mediation analysis was employed to detect the relationship among inhibition‐related imaging features, NOS1 ex1f‐VNTR genotypes, and inhibition. Results Inhibition‐directed multimodal imaging fusion patterns of aADHD were reduced GMV and FC in inhibition network and increased GMV and FC in default mode network. The results showed a significant indirect effect of NOS1 ex1f‐VNTR on inhibition via FC component [effect size = −0.54 (SE = 0.29), 95% CI = −1.16 to −0.01]. In addition, the results indicated a significant indirect effect of GMV on the inhibition via FC component [effect size = 0.43 (SE = 0.23), 95% CI = 0.12 to 1.00]. Conclusion The findings suggested that reduced GMV and FC in inhibition network and increased GMV and FC in default mode network were jointly responsible for inhibition deficits in aADHD. Both the NOS1 ex1f‐VNTR genotypes and GMV might influence the inhibition through the mediation effect of the aforementioned FC (NOS1/GMV→FC→Inhibition).
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Affiliation(s)
- Xiaojie Guo
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University, Beijing, China
| | - Lu Liu
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University, Beijing, China
| | - Tiantian Li
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Qihua Zhao
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University, Beijing, China
| | - Hui Li
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University, Beijing, China
| | - Fang Huang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University, Beijing, China
| | - Yanfei Wang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University, Beijing, China
| | - Qiujin Qian
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University, Beijing, China
| | - Qingjiu Cao
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University, Beijing, China
| | - Yufeng Wang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University, Beijing, China
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Jing Sui
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China.,CAS Center for Excellence in Brain Science, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Li Sun
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University, Beijing, China
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Li X, Jiang Y, Wang W, Liu X, Li Z. Brain morphometric abnormalities in boys with attention-deficit/hyperactivity disorder revealed by sulcal pits-based analyses. CNS Neurosci Ther 2021; 27:299-307. [PMID: 32762149 PMCID: PMC7871795 DOI: 10.1111/cns.13445] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 07/19/2020] [Accepted: 07/20/2020] [Indexed: 01/05/2023] Open
Abstract
AIM Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder associated with widespread brain morphological abnormalities. Here, we utilized a sulcal pits-based method to provide new insight into the atypical cortical folding morphology in ADHD. METHODS Sulcal pits, the locally deepest points in each fold, were first extracted from magnetic resonance imaging data of 183 boys with ADHD (10.62 ± 1.96 years) and 167 age- and gender-matched typically developing controls (10.70 ± 1.73 years). Then, the geometrical properties of sulcal pits were statistically compared between ADHD and controls. RESULTS Our results demonstrated that the number of sulcal pits was reduced and confined to the superficial secondary sulci in the ADHD group relative to controls (P < .05). We also found that ADHD boys were associated with significantly increased pit depth in the left superior frontal junction, circular insular sulcus, right inferior frontal junction, and bilateral cingulate sulcus, as well as significantly decreased pit depth in the bilateral orbital sulcus (P < .05, corrected). CONCLUSION The experimental findings reveal atypical sulcal anatomy in boys with ADHD and support the feasibility of sulcal pits as anatomic landmarks for disease diagnosis.
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Affiliation(s)
- Xin‐Wei Li
- Chongqing Engineering Research Center of Medical Electronics and Information TechnologyChongqing University of Posts and TelecommunicationsChongqingChina
- Chongqing Engineering Laboratory of Digital Medical Equipment and SystemsChongqing University of Posts and TelecommunicationsChongqingChina
| | - Yu‐Hao Jiang
- Chongqing Engineering Research Center of Medical Electronics and Information TechnologyChongqing University of Posts and TelecommunicationsChongqingChina
- Chongqing Engineering Laboratory of Digital Medical Equipment and SystemsChongqing University of Posts and TelecommunicationsChongqingChina
| | - Wei Wang
- Chongqing Engineering Research Center of Medical Electronics and Information TechnologyChongqing University of Posts and TelecommunicationsChongqingChina
- Chongqing Engineering Laboratory of Digital Medical Equipment and SystemsChongqing University of Posts and TelecommunicationsChongqingChina
| | - Xiao‐Xue Liu
- Chongqing Engineering Research Center of Medical Electronics and Information TechnologyChongqing University of Posts and TelecommunicationsChongqingChina
- Chongqing Engineering Laboratory of Digital Medical Equipment and SystemsChongqing University of Posts and TelecommunicationsChongqingChina
| | - Zhang‐Yong Li
- Chongqing Engineering Research Center of Medical Electronics and Information TechnologyChongqing University of Posts and TelecommunicationsChongqingChina
- Chongqing Engineering Laboratory of Digital Medical Equipment and SystemsChongqing University of Posts and TelecommunicationsChongqingChina
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