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Saglam Y, Ermis C, Takir S, Oz A, Hamid R, Kose H, Bas A, Karacetin G. The Contribution of Explainable Machine Learning Algorithms Using ROI-based Brain Surface Morphology Parameters in Distinguishing Early-onset Schizophrenia From Bipolar Disorder. Acad Radiol 2024; 31:3597-3604. [PMID: 38704285 DOI: 10.1016/j.acra.2024.04.013] [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: 12/10/2023] [Revised: 02/25/2024] [Accepted: 04/11/2024] [Indexed: 05/06/2024]
Abstract
RATIONALE AND OBJECTIVES To differentiate early-onset schizophrenia (EOS) from early-onset bipolar disorder (EBD) using surface-based morphometry measurements and brain volumes using machine learning (ML) algorithms. METHOD High-resolution T1-weighted images were obtained to measure cortical thickness (CT), gyrification, gyrification index (GI), sulcal depth (SD), fractal dimension (FD), and brain volumes. After the feature selection step, ML classifiers were applied for each feature set and the combination of them. The SHapley Additive exPlanations (SHAP) technique was implemented to interpret the contribution of each feature. FINDINGS 144 adolescents (16.2 ± 1.4 years, female=39%) with EOS (n = 81) and EBD (n = 63) were included. The Adaptive Boosting (AdaBoost) algorithm had the highest accuracy (82.75%) in the whole dataset that includes all variables from Destrieux atlas. The best-performing algorithms were K-nearest neighbors (KNN) for FD subset, support vector machine (SVM) for SD subset, and AdaBoost for GI subset. The KNN algorithm had the highest accuracy (accuracy=79.31%) in the whole dataset from the Desikan-Killiany-Tourville atlas. CONCLUSION This study demonstrates the use of ML in the differential diagnosis of EOS and EBD using surface-based morphometry measurements. Future studies could focus on multicenter data for the validation of these results.
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Affiliation(s)
- Yesim Saglam
- Department of Child and Adolescent Psychiatry, University of Health Sciences, Bakirkoy Prof Dr Mazhar Osman Research and Training Hospital for Psychiatry, Neurology and Neurosurgery, Istanbul, Turkey.
| | - Cagatay Ermis
- Queen Silvia Children's Hospital, Department of Child Psychiatry, Gothenburg, Sweden
| | - Seyma Takir
- Department of Artificial Intelligence and Data Engineering, Istanbul Technical University, Istanbul, Turkey
| | - Ahmet Oz
- Department of Radiology, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Rauf Hamid
- Department of Radiology, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Hatice Kose
- Department of Artificial Intelligence and Data Engineering, Istanbul Technical University, Istanbul, Turkey
| | - Ahmet Bas
- Department of Radiology, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Gul Karacetin
- Department of Child and Adolescent Psychiatry, University of Health Sciences, Bakirkoy Prof Dr Mazhar Osman Research and Training Hospital for Psychiatry, Neurology and Neurosurgery, Istanbul, Turkey
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2
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Foubet O, Mangin JF, Sun ZY, Sherwood CC, Hopkins WD. Phylogenetic differences in the morphology and shape of the central sulcus in great apes and humans: implications for the evolution of motor functions. Cereb Cortex 2024; 34:bhae232. [PMID: 38869374 PMCID: PMC11170658 DOI: 10.1093/cercor/bhae232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 02/21/2024] [Accepted: 05/21/2024] [Indexed: 06/14/2024] Open
Abstract
The central sulcus divides the primary motor and somatosensory cortices in many anthropoid primate brains. Differences exist in the surface area and depth of the central sulcus along the dorso-ventral plane in great apes and humans compared to other primate species. Within hominid species, there are variations in the depth and aspect of their hand motor area, or knob, within the precentral gyrus. In this study, we used post-image analyses on magnetic resonance images to characterize the central sulcus shape of humans, chimpanzees (Pan troglodytes), gorillas (Gorilla gorilla), and orangutans (Pongo pygmaeus and Pongo abelii). Using these data, we examined the morphological variability of central sulcus in hominids, focusing on the hand region, a significant change in human evolution. We show that the central sulcus shape differs between great ape species, but all show similar variations in the location of their hand knob. However, the prevalence of the knob location along the dorso-ventral plane and lateralization differs between species and the presence of a second ventral motor knob seems to be unique to humans. Humans and orangutans exhibit the most similar and complex central sulcus shapes. However, their similarities may reflect divergent evolutionary processes related to selection for different positional and habitual locomotor functions.
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Affiliation(s)
- Ophelie Foubet
- Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab, 91191 Gif-sur-Yvette, Ile de France, France
| | - Jean-François Mangin
- Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab, 91191 Gif-sur-Yvette, Ile de France, France
| | - Zhong Yi Sun
- Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab, 91191 Gif-sur-Yvette, Ile de France, France
| | - Chet C Sherwood
- Department of Anthropology and Center for the Advanced Study of Human Paleobiology, The George Washington University, Washington, DC, 20052, United States
| | - William D Hopkins
- Department of Comparative Medicine, Michale E Keeling Center for Comparative Medicine and Research, M D Anderson Cancer Center, Bastrop, TX 78602, United States
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Huang Y, Zhang T, Zhang S, Zhang W, Yang L, Zhu D, Liu T, Jiang X, Han J, Guo L. Genetic Influence on Gyral Peaks. Neuroimage 2023; 280:120344. [PMID: 37619794 DOI: 10.1016/j.neuroimage.2023.120344] [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: 05/10/2023] [Accepted: 08/21/2023] [Indexed: 08/26/2023] Open
Abstract
Genetic mechanisms have been hypothesized to be a major determinant in the formation of cortical folding. Although there is an increasing number of studies examining the heritability of cortical folding, most of them focus on sulcal pits rather than gyral peaks. Gyral peaks, which reflect the highest local foci on gyri and are consistent across individuals, remain unstudied in terms of heritability. To address this knowledge gap, we used high-resolution data from the Human Connectome Project (HCP) to perform classical twin analysis and estimate the heritability of gyral peaks across various brain regions. Our results showed that the heritability of gyral peaks was heterogeneous across different cortical regions, but relatively symmetric between hemispheres. We also found that pits and peaks are different in a variety of anatomic and functional measures. Further, we explored the relationship between the levels of heritability and the formation of cortical folding by utilizing the evolutionary timeline of gyrification. Our findings indicate that the heritability estimates of both gyral peaks and sulcal pits decrease linearly with the evolution timeline of gyrification. This suggests that the cortical folds which formed earlier during gyrification are subject to stronger genetic influences than the later ones. Moreover, the pits and peaks coupled by their time of appearance are also positively correlated in respect of their heritability estimates. These results fill the knowledge gap regarding genetic influences on gyral peaks and significantly advance our understanding of how genetic factors shape the formation of cortical folding. The comparison between peaks and pits suggests that peaks are not a simple morphological mirror of pits but could help complete the understanding of folding patterns.
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Affiliation(s)
- Ying Huang
- School of Automation, Northwestern Polytechnical University, Xi'an 710129, China; School of Information and Technology, Northwest University, Xi'an 710127, China
| | - Tuo Zhang
- School of Automation, Northwestern Polytechnical University, Xi'an 710129, China.
| | - Songyao Zhang
- School of Automation, Northwestern Polytechnical University, Xi'an 710129, China
| | - Weihan Zhang
- School of Automation, Northwestern Polytechnical University, Xi'an 710129, China
| | - Li Yang
- School of Automation, Northwestern Polytechnical University, Xi'an 710129, China
| | - Dajiang Zhu
- Computer Science & Engineering, University of Texas at Arlington, TX 76010, USA
| | - Tianming Liu
- Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA 30602, USA
| | - Xi Jiang
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610056, China
| | - Junwei Han
- School of Automation, Northwestern Polytechnical University, Xi'an 710129, China
| | - Lei Guo
- School of Automation, Northwestern Polytechnical University, Xi'an 710129, China
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4
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Zhang S, Zhang T, He Z, Li X, Zhang L, Zhu D, Jiang X, Liu T, Han J, Guo L. Gyral peaks and patterns in human brains. Cereb Cortex 2023; 33:6708-6722. [PMID: 36646465 PMCID: PMC10422926 DOI: 10.1093/cercor/bhac537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 12/19/2022] [Accepted: 12/20/2022] [Indexed: 01/18/2023] Open
Abstract
Cortical folding patterns are related to brain function, cognition, and behavior. Since the relationship has not been fully explained on a coarse scale, many efforts have been devoted to the identification of finer grained cortical landmarks, such as sulcal pits and gyral peaks, which were found to remain invariant across subjects and ages and the invariance may be related to gene mediated proto-map. However, gyral peaks were only investigated on macaque monkey brains, but not on human brains where the investigation is challenged due to high inter-individual variabilities. To this end, in this work, we successfully identified 96 gyral peaks both on the left and right hemispheres of human brains, respectively. These peaks are spatially consistent across individuals. Higher or sharper peaks are more consistent across subjects. Both structural and functional graph metrics of peaks are significantly different from other cortical regions, and more importantly, these nodal graph metrics are anti-correlated with the spatial consistency metrics within peaks. In addition, the distribution of peaks and various cortical anatomical, structural/functional connective features show hemispheric symmetry. These findings provide new clues to understanding the cortical landmarks, as well as their relationship with brain functions, cognition, behavior in both healthy and aberrant brains.
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Affiliation(s)
- Songyao Zhang
- School of Automation, School of Information Technology, and School of Life Science and Technology, Northwestern Polytechnical University, Xi’an 710000, China
| | - Tuo Zhang
- School of Automation, School of Information Technology, and School of Life Science and Technology, Northwestern Polytechnical University, Xi’an 710000, China
| | - Zhibin He
- School of Automation, School of Information Technology, and School of Life Science and Technology, Northwestern Polytechnical University, Xi’an 710000, China
| | - Xiao Li
- School of Automation, School of Information Technology, and School of Life Science and Technology, Northwest University, Xi’an, China
| | - Lu Zhang
- Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, United States
| | - Dajiang Zhu
- Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, United States
| | - Xi Jiang
- School of Automation, School of Information Technology, and School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Tianming Liu
- Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA 30605, United States
| | - Junwei Han
- School of Automation, School of Information Technology, and School of Life Science and Technology, Northwestern Polytechnical University, Xi’an 710000, China
| | - Lei Guo
- School of Automation, School of Information Technology, and School of Life Science and Technology, Northwestern Polytechnical University, Xi’an 710000, China
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5
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Hopkins WD, Coulon O, Meguerditchian A, Staes N, Sherwood CC, Schapiro SJ, Mangin JF, Bradley B. Genetic determinants of individual variation in the superior temporal sulcus of chimpanzees (Pan troglodytes). Cereb Cortex 2023; 33:1925-1940. [PMID: 35697647 PMCID: PMC9977371 DOI: 10.1093/cercor/bhac183] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 04/08/2022] [Accepted: 04/09/2022] [Indexed: 12/22/2022] Open
Abstract
The superior temporal sulcus (STS) is a conserved fold that divides the middle and superior temporal gyri. In humans, there is considerable variation in the shape, folding pattern, lateralization, and depth of the STS that have been reported to be associated with social cognition and linguistic functions. We examined the role that genetic factors play on individual variation in STS morphology in chimpanzees. The surface area and depth of the STS were quantified in sample of 292 captive chimpanzees comprised of two genetically isolated population of individuals. The chimpanzees had been previously genotyped for AVPR1A and KIAA0319, two genes that play a role in social cognition and communication in humans. Single nucleotide polymorphisms in the KIAA0319 and AVPR1A genes were associated with average depth as well as asymmetries in the STS. By contrast, we found no significant effects of these KIA0319 and AVPR1A polymorphism on surface area and depth measures for the central sulcus. The overall findings indicate that genetic factors account for a small to moderate amount of variation in STS morphology in chimpanzees. These findings are discussed in the context of the role of the STS in social cognition and language in humans and their potential evolutionary origins.
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Affiliation(s)
- William D Hopkins
- Department of Comparative Medicine, The University of Texas MD Anderson Cancer Center, Bastrop, TX 78602, USA
- IMéRA – Institut d’Etudes Avancées, Aix-Marseille Universite, Marseille 13004, France
- Institute of Language, Communication and The Brain, Aix-Marseille Universite, CNRS, Aix-en-Provence 13604, France
| | - Oliver Coulon
- Institute of Language, Communication and The Brain, Aix-Marseille Universite, CNRS, Aix-en-Provence 13604, France
- Aix-Marseille Univ, CNRS, Institut de Neurosciences de La Timone, UMR7289, Marseille 13284, France
| | - Adrien Meguerditchian
- Institute of Language, Communication and The Brain, Aix-Marseille Universite, CNRS, Aix-en-Provence 13604, France
- Laboratoire de Psychologie Cognitive, UMR 7290, LPC, Aix-Marseille Univ, CNRS, Marseille 13284, France
| | - Nicky Staes
- Department of Anthropology and Center for the Advanced Study of Human Paleobiology, The George Washington University, Washington, DC 20052, USA
| | - Chet C Sherwood
- Department of Anthropology and Center for the Advanced Study of Human Paleobiology, The George Washington University, Washington, DC 20052, USA
| | - Steven J Schapiro
- Department of Comparative Medicine, The University of Texas MD Anderson Cancer Center, Bastrop, TX 78602, USA
- Department of Experimental Medicine, University of Copenhagen, Copenhagen 2200N, Denmark
| | | | - Brenda Bradley
- Department of Anthropology and Center for the Advanced Study of Human Paleobiology, The George Washington University, Washington, DC 20052, USA
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6
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Zhang S, Chavoshnejad P, Li X, Guo L, Jiang X, Han J, Wang L, Li G, Wang X, Liu T, Razavi MJ, Zhang S, Zhang T. Gyral peaks: Novel gyral landmarks in developing macaque brains. Hum Brain Mapp 2022; 43:4540-4555. [PMID: 35713202 PMCID: PMC9491295 DOI: 10.1002/hbm.25971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 04/22/2022] [Accepted: 05/23/2022] [Indexed: 11/09/2022] Open
Abstract
Cerebral cortex development undergoes a variety of processes, which provide valuable information for the study of the developmental mechanism of cortical folding as well as its relationship to brain structural architectures and brain functions. Despite the variability in the anatomy-function relationship on the higher-order cortex, recent studies have succeeded in identifying typical cortical landmarks, such as sulcal pits, that bestow specific functional and cognitive patterns and remain invariant across subjects and ages with their invariance being related to a gene-mediated proto-map. Inspired by the success of these studies, we aim in this study at defining and identifying novel cortical landmarks, termed gyral peaks, which are the local highest foci on gyri. By analyzing data from 156 MRI scans of 32 macaque monkeys with the age spanned from 0 to 36 months, we identified 39 and 37 gyral peaks on the left and right hemispheres, respectively. Our investigation suggests that these gyral peaks are spatially consistent across individuals and relatively stable within the age range of this dataset. Moreover, compared with other gyri, gyral peaks have a thicker cortex, higher mean curvature, more pronounced hub-like features in structural connective networks, and are closer to the borders of structural connectivity-based cortical parcellations. The spatial distribution of gyral peaks was shown to correlate with that of other cortical landmarks, including sulcal pits. These results provide insights into the spatial arrangement and temporal development of gyral peaks as well as their relation to brain structure and function.
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Affiliation(s)
- Songyao Zhang
- School of AutomationNorthwestern Polytechnical UniversityXi'anChina
| | - Poorya Chavoshnejad
- Department of Mechanical EngineeringState University of New York at BinghamtonNew YorkUSA
| | - Xiao Li
- School of Information TechnologyNorthwest UniversityXi'anChina
| | - Lei Guo
- School of AutomationNorthwestern Polytechnical UniversityXi'anChina
| | - Xi Jiang
- School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Junwei Han
- School of AutomationNorthwestern Polytechnical UniversityXi'anChina
| | - Li Wang
- Department of Radiology and BRICUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Gang Li
- Department of Radiology and BRICUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Xianqiao Wang
- College of EngineeringThe University of GeorgiaAthensGeorgiaUSA
| | - Tianming Liu
- Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research CenterThe University of GeorgiaAthensGeorgiaUSA
| | - Mir Jalil Razavi
- Department of Mechanical EngineeringState University of New York at BinghamtonNew YorkUSA
| | - Shu Zhang
- Center for Brain and Brain‐Inspired Computing Research, Department of Computer ScienceNorthwestern Polytechnical UniversityXi'anChina
| | - Tuo Zhang
- School of AutomationNorthwestern Polytechnical UniversityXi'anChina
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7
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Kristanto D, Liu X, Sommer W, Hildebrandt A, Zhou C. What do neuroanatomical networks reveal about the ontology of human cognitive abilities? iScience 2022; 25:104706. [PMID: 35865139 PMCID: PMC9293763 DOI: 10.1016/j.isci.2022.104706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 05/15/2022] [Accepted: 06/28/2022] [Indexed: 11/18/2022] Open
Abstract
Over the last decades, cognitive psychology has come to a fair consensus about the human intelligence ontological structure. However, it remains an open question whether anatomical properties of the brain support the same ontology. The present study explored the ontological structure derived from neuroanatomical networks associated with performance on 15 cognitive tasks indicating various abilities. Results suggest that the brain-derived (neurometric) ontology partly agrees with the cognitive performance-derived (psychometric) ontology complemented with interpretable differences. Moreover, the cortical areas associated with different inferred abilities are segregated, with little or no overlap. Nevertheless, these spatially segregated cortical areas are integrated via denser white matter structural connections as compared with the general brain connectome. The integration of ability-related cortical networks constitutes a neural counterpart to the psychometric construct of general intelligence, while the consistency and difference between psychometric and neurometric ontologies represent crucial pieces of knowledge for theory building, clinical diagnostics, and treatment. Psychometric and neurometric cognitive ontologies are partly equivalent Ability-related brain areas are ontologically segregated with little to no overlap However, ability-related brain areas are densely interconnected by fiber tracts
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8
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van der Meer D, Kaufmann T, Shadrin AA, Makowski C, Frei O, Roelfs D, Monereo-Sánchez J, Linden DEJ, Rokicki J, Alnæs D, de Leeuw C, Thompson WK, Loughnan R, Fan CC, Westlye LT, Andreassen OA, Dale AM. The genetic architecture of human cortical folding. SCIENCE ADVANCES 2021; 7:eabj9446. [PMID: 34910505 PMCID: PMC8673767 DOI: 10.1126/sciadv.abj9446] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 10/27/2021] [Indexed: 05/04/2023]
Abstract
The folding of the human cerebral cortex is a highly genetically regulated process that allows for a much larger surface area to fit into the cranial vault and optimizes functional organization. Sulcal depth is a robust yet understudied measure of localized folding, previously associated with multiple neurodevelopmental disorders. Here, we report the first genome-wide association study of sulcal depth. Through the multivariate omnibus statistical test (MOSTest) applied to vertex-wise measures from 33,748 U.K. Biobank participants (mean age, 64.3 years; 52.0% female), we identified 856 genome-wide significant loci (P < 5 × 10−8). Comparisons with cortical thickness and surface area indicated that sulcal depth has higher locus yield, heritability, and effective sample size. There was a large amount of genetic overlap between these traits, with gene-based analyses indicating strong associations with neurodevelopmental processes. Our findings demonstrate sulcal depth is a promising neuroimaging phenotype that may enhance our understanding of cortical morphology.
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Affiliation(s)
- Dennis van der Meer
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Tobias Kaufmann
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Alexey A. Shadrin
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Carolina Makowski
- Center for Multimodal Imaging and Genetics, University of California at San Diego, La Jolla, CA 92037, USA
| | - Oleksandr Frei
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Centre for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Daniel Roelfs
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Jennifer Monereo-Sánchez
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - David E. J. Linden
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Jaroslav Rokicki
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Dag Alnæs
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Bjørknes College, Oslo, Norway
| | - Christiaan de Leeuw
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Wesley K. Thompson
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California at San Diego, La Jolla, CA 92037, USA
| | - Robert Loughnan
- Center for Multimodal Imaging and Genetics, University of California at San Diego, La Jolla, CA 92037, USA
| | - Chun Chieh Fan
- Center for Multimodal Imaging and Genetics, University of California at San Diego, La Jolla, CA 92037, USA
| | - Lars T. Westlye
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Ole A. Andreassen
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Anders M. Dale
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Center for Multimodal Imaging and Genetics, University of California at San Diego, La Jolla, CA 92037, USA
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9
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He Z, Du L, Huang Y, Jiang X, Lv J, Guo L, Zhang S, Zhang T. Gyral Hinges Account for the Highest Cost and the Highest Communication Capacity in a Corticocortical Network. Cereb Cortex 2021; 32:3359-3376. [PMID: 34875041 DOI: 10.1093/cercor/bhab420] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 10/22/2021] [Accepted: 10/23/2021] [Indexed: 12/11/2022] Open
Abstract
Prior studies reported the global structure of brain networks exhibits the "small-world" and "rich-world" attributes. However, the underlying structural and functional architecture highlighted by these graph theory findings hasn't been explicitly related to the morphology of the cortex. This could be attributed to the lower resolution of used folding patterns, such as gyro-sulcal patterns. By defining a novel gyral folding pattern, termed gyral hinge (GH), which is the conjunction of ordinary gyri from multiple directions, we found GHs possess the highest length and cost in the white matter fiber connective network, and the shortest paths in the network tend to travel through GHs in their middle part. Based on these findings, we would hypothesize GHs could reside in the centers of a network core, thereby accounting for the highest cost and the highest communication capacity in a corticocortical network. The following results further support our hypothesis: 1) GHs possess stronger functional network integration capacity. 2) Higher cost is found on the connection with GHs to hinges and GHs to GHs. 3) Moving GHs introduces higher extra network cost. Our findings and hypotheses could reveal a profound relationship among the cortical folding patterns, axonal wiring architectures, and brain functions.
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Affiliation(s)
- Zhibin He
- School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
| | - Lei Du
- School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
| | - Ying Huang
- School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
| | - Xi Jiang
- School of Life Science and Technology, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Jinglei Lv
- School of Biomedical Engineering, Sydney Imaging, Brain and Mind Centre, The University of Sydney, Camperdown, NSW 2050, Australia
| | - Lei Guo
- School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
| | - Shu Zhang
- School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China
| | - Tuo Zhang
- School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
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10
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Gajawelli N, Deoni SCL, Ramsy N, Dean DC, O'Muircheartaigh J, Nelson MD, Lepore N, Coulon O. Developmental changes of the central sulcus morphology in young children. Brain Struct Funct 2021; 226:1841-1853. [PMID: 34043074 DOI: 10.1007/s00429-021-02292-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 05/06/2021] [Indexed: 12/01/2022]
Abstract
The human brain grows rapidly in early childhood, reaching 95% of its final volume by age 6. Understanding brain growth in childhood is important both to answer neuroscience questions about anatomical changes in development, and as a comparison metric for neurological disorders. Metrics for neuroanatomical development including cortical measures pertaining to the sulci can be instrumental in early diagnosis, monitoring, and intervention for neurological diseases. In this paper, we examine the development of the central sulcus in children aged 12-60 months from structural magnetic resonance images. The central sulcus is one of the earliest sulci to develop at the fetal stage and is implicated in diseases such as Attention Deficit Hyperactive Disorder and Williams syndrome. We investigate the relationship between the changes in the depth of the central sulcus with respect to age. In our results, we observed a pattern of depth present early on, that had been previously observed in adults. Results also reveal the presence of a rightward depth asymmetry at 12 months of age at a location related to orofacial movements. That asymmetry disappears gradually, mostly between 12 and 24 months, and we suggest that it is related to the development of language skills.
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Affiliation(s)
- Niharika Gajawelli
- CIBORG Laboratory, Department of Radiology, Children's Hospital of Los Angeles, 4650 Sunset Blvd, Los Angeles, CA, 90027, USA
| | - Sean C L Deoni
- Advanced Baby Imaging Lab, Hasbro Children's Hospital, 593 Eddy Street Ground Level, Providence, RI, 02903, USA
- Pediatrics and Radiology, Warren Alpert Medical School, Brown University, 222 Richmond St, Providence, RI, 02903, USA
- Maternal, Newborn & Child Health Discovery & Tools at the Bill and Melinda Gates Foundation, 500 5th Ave N, Seattle, WA, 98109, USA
| | - Natalie Ramsy
- Carle Illinois College of Medicine, 807 S Wright St, Champaign, IL, 61820, USA
| | - Douglas C Dean
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, 1500 Highland Ave, Madison, WI, 53705, USA
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI, 53792, USA
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, 750 Highland Ave, Madison, WI, 53705, USA
| | - Jonathan O'Muircheartaigh
- Department for Forensic and Neurodevelopmental Sciences, Centre for Neuroimaging Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 2nd FloorDenmark Hill, London, UK
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, 4th Floor, Lambeth Wing St. Thomas' Hospital Westminster Bridge Road SE17EH, London, UK
- MRC Centre for Neurodevelopmental Disorders, King's College London, New Hunt's House, Guy's Campus, London, SE1 1UL, UK
| | - Marvin D Nelson
- CIBORG Laboratory, Department of Radiology, Children's Hospital of Los Angeles, 4650 Sunset Blvd, Los Angeles, CA, 90027, USA
- Department of Radiology, Keck School of Medicine, University of Southern California, 1500 San Pablo Street, Los Angeles, CA, 90033, USA
| | - Natasha Lepore
- CIBORG Laboratory, Department of Radiology, Children's Hospital of Los Angeles, 4650 Sunset Blvd, Los Angeles, CA, 90027, USA.
- Department of Radiology, Keck School of Medicine, University of Southern California, 1500 San Pablo Street, Los Angeles, CA, 90033, USA.
| | - Olivier Coulon
- Faculty of Medicine, Institut de Neurosciences de la Timone, Aix-Marseille University, CNRS UMR7289, 27, boulevard Jean Moulin, 13005, Marseille, France
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11
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Yun HJ, Perez JDR, Sosa P, Valdés JA, Madan N, Kitano R, Akiyama S, Skotko BG, Feldman HA, Bianchi DW, Grant PE, Tarui T, Im K. Regional Alterations in Cortical Sulcal Depth in Living Fetuses with Down Syndrome. Cereb Cortex 2021; 31:757-767. [PMID: 32940649 PMCID: PMC7786357 DOI: 10.1093/cercor/bhaa255] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Revised: 08/11/2020] [Accepted: 08/12/2020] [Indexed: 12/15/2022] Open
Abstract
Down syndrome (DS) is the most common genetic cause of developmental disabilities. Advanced analysis of brain magnetic resonance imaging (MRI) has been used to find brain abnormalities and their relationship to neurocognitive impairments in children and adolescents with DS. Because genetic factors affect brain development in early fetal life, there is a growing interest in analyzing brains from living fetuses with DS. In this study, we investigated regional sulcal folding depth as well as global cortical gyrification from fetal brain MRIs. Nine fetuses with DS (29.1 ± 4.24 gestational weeks [mean ± standard deviation]) were compared with 17 typically developing [TD] fetuses (28.4 ± 3.44). Fetuses with DS showed lower whole-brain average sulcal depths and gyrification index than TD fetuses. Significant decreases in sulcal depth were found in bilateral Sylvian fissures and right central and parieto-occipital sulci. On the other hand, significantly increased sulcal depth was shown in the left superior temporal sulcus, which is related to atypical hemispheric asymmetry of cortical folding. Moreover, these group differences increased as gestation progressed. This study demonstrates that regional sulcal depth is a sensitive marker for detecting alterations of cortical development in DS during fetal life, which may be associated with later neurocognitive impairment.
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Affiliation(s)
- Hyuk Jin Yun
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Juan David Ruiz Perez
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Patricia Sosa
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - J Alejandro Valdés
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Neel Madan
- Department of Radiology, Tufts Medical Center, Boston, MA 02111, USA
| | - Rie Kitano
- Mother Infant Research Institute, Tufts Medical Center, Boston, MA 02111, USA
| | - Shizuko Akiyama
- Mother Infant Research Institute, Tufts Medical Center, Boston, MA 02111, USA
| | - Brian G Skotko
- Down Syndrome Program, Genetics, Pediatrics, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Henry A Feldman
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Institutional Centers for Clinical and Translational Research, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Diana W Bianchi
- Prenatal Genomics and Fetal Therapy Section, Medical Genetics Branch, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - P Ellen Grant
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Tomo Tarui
- Mother Infant Research Institute, Tufts Medical Center, Boston, MA 02111, USA
| | - Kiho Im
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
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12
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Zhang Z, Wang Y, Gao Y, Li Z, Zhang S, Lin X, Hou Z, Yu Q, Wang X, Liu S. Morphological changes in the central sulcus of children with isolated growth hormone deficiency versus idiopathic short stature. Dev Neurobiol 2020; 81:36-46. [PMID: 33277816 DOI: 10.1002/dneu.22797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 08/25/2020] [Accepted: 11/27/2020] [Indexed: 11/10/2022]
Abstract
In this study, the morphological changes in the central sulcus between children with isolated growth hormone deficiency (IGHD) and those with idiopathic short stature (ISS) were analyzed. Thirty children with IGHD (peak growth hormone < 5 µg/L) and 30 children with ISS (peak growth hormone > 10.0 µg/L) were included. Morphological measurements of the central sulcus were obtained from T1-weighted MRIs using BrainVISA, including the average sulcal width, maximum depth, average depth, top length, bottom length, and depth position-based profiles (DPPs). The bilateral average width of the central sulci was significantly wider, while the left maximum depth and right average depth of the central sulcus were significantly smaller, in children with IGHD than in children with ISS. There were no significant differences in the right maximum depth, left average depth, or bilateral top length and bottom length of the central sulcus between groups. The DPPs of the middle part of both central sulci (corresponding to the hand motor activation area) and the inferior part of the right central sulcus (corresponding to the oral movement area) near the Sylvian fissure were significantly smaller in children with IGHD than in controls before false discovery rate (FDR) correction. However, all the above significant DPP sites disappeared after FDR correction. There were significant morphological changes in the three-dimensional structure of the central sulcus in children with IGHD, which were the outcome of other more essential cortical or subcortical changes, resulting in their relatively slower development in motor, cognitive, and linguistic functional performance.
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Affiliation(s)
- Zhonghe Zhang
- Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong University, Shandong, China.,Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong, China.,Research Center for Sectional and Imaging Anatomy, Shandong University Cheeloo College of Medicine, Shandong, China
| | - Yu Wang
- Research Center for Sectional and Imaging Anatomy, Shandong University Cheeloo College of Medicine, Shandong, China
| | - Yue Gao
- Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong University, Shandong, China.,Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong, China
| | - Zhuoran Li
- Research Center for Sectional and Imaging Anatomy, Shandong University Cheeloo College of Medicine, Shandong, China
| | - Shuhan Zhang
- Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong University, Shandong, China.,Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong, China
| | - Xiangtao Lin
- Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong University, Shandong, China.,Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong, China.,Research Center for Sectional and Imaging Anatomy, Shandong University Cheeloo College of Medicine, Shandong, China
| | - Zhongyu Hou
- Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong University, Shandong, China.,Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong, China.,Research Center for Sectional and Imaging Anatomy, Shandong University Cheeloo College of Medicine, Shandong, China
| | - Qiaowen Yu
- Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong University, Shandong, China.,Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong, China.,Research Center for Sectional and Imaging Anatomy, Shandong University Cheeloo College of Medicine, Shandong, China
| | - Ximing Wang
- Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong University, Shandong, China.,Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong, China
| | - Shuwei Liu
- Research Center for Sectional and Imaging Anatomy, Shandong University Cheeloo College of Medicine, Shandong, China
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13
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Schmitt JE, Raznahan A, Liu S, Neale MC. The Heritability of Cortical Folding: Evidence from the Human Connectome Project. Cereb Cortex 2020; 31:702-715. [PMID: 32959043 DOI: 10.1093/cercor/bhaa254] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 08/09/2020] [Accepted: 08/10/2020] [Indexed: 12/13/2022] Open
Abstract
The mechanisms underlying cortical folding are incompletely understood. Prior studies have suggested that individual differences in sulcal depth are genetically mediated, with deeper and ontologically older sulci more heritable than others. In this study, we examine FreeSurfer-derived estimates of average convexity and mean curvature as proxy measures of cortical folding patterns using a large (N = 1096) genetically informative young adult subsample of the Human Connectome Project. Both measures were significantly heritable near major sulci and primary fissures, where approximately half of individual differences could be attributed to genetic factors. Genetic influences near higher order gyri and sulci were substantially lower and largely nonsignificant. Spatial permutation analysis found that heritability patterns were significantly anticorrelated to maps of evolutionary and neurodevelopmental expansion. We also found strong phenotypic correlations between average convexity, curvature, and several common surface metrics (cortical thickness, surface area, and cortical myelination). However, quantitative genetic models suggest that correlations between these metrics are largely driven by nongenetic factors. These findings not only further our understanding of the neurobiology of gyrification, but have pragmatic implications for the interpretation of heritability maps based on automated surface-based measurements.
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Affiliation(s)
- J Eric Schmitt
- Departments of Radiology and Psychiatry, Division of Neuroradiology, Brain Behavior Laboratory, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Armin Raznahan
- Section on Developmental Neurogenomics, National Institute of Mental Health, Bethesda, MD 20892, USA
| | - Siyuan Liu
- Section on Developmental Neurogenomics, National Institute of Mental Health, Bethesda, MD 20892, USA
| | - Michael C Neale
- Departments of Psychiatry and Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA 23298-980126, USA
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14
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Pizzagalli F, Auzias G, Yang Q, Mathias SR, Faskowitz J, Boyd JD, Amini A, Rivière D, McMahon KL, de Zubicaray GI, Martin NG, Mangin JF, Glahn DC, Blangero J, Wright MJ, Thompson PM, Kochunov P, Jahanshad N. The reliability and heritability of cortical folds and their genetic correlations across hemispheres. Commun Biol 2020; 3:510. [PMID: 32934300 PMCID: PMC7493906 DOI: 10.1038/s42003-020-01163-1] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 07/24/2020] [Indexed: 12/22/2022] Open
Abstract
Cortical folds help drive the parcellation of the human cortex into functionally specific regions. Variations in the length, depth, width, and surface area of these sulcal landmarks have been associated with disease, and may be genetically mediated. Before estimating the heritability of sulcal variation, the extent to which these metrics can be reliably extracted from in-vivo MRI must be established. Using four independent test-retest datasets, we found high reliability across the brain (intraclass correlation interquartile range: 0.65-0.85). Heritability estimates were derived for three family-based cohorts using variance components analysis and pooled (total N > 3000); the overall sulcal heritability pattern was correlated to that derived for a large population cohort (N > 9000) calculated using genomic complex trait analysis. Overall, sulcal width was the most heritable metric, and earlier forming sulci showed higher heritability. The inter-hemispheric genetic correlations were high, yet select sulci showed incomplete pleiotropy, suggesting hemisphere-specific genetic influences.
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Grants
- P41 EB015922 NIBIB NIH HHS
- R01 EB015611 NIBIB NIH HHS
- P01 AG026276 NIA NIH HHS
- R21 NS064534 NINDS NIH HHS
- R01 MH078111 NIMH NIH HHS
- R01 HD050735 NICHD NIH HHS
- R01 NS056307 NINDS NIH HHS
- R01 MH121246 NIMH NIH HHS
- P50 MH071616 NIMH NIH HHS
- R03 EB012461 NIBIB NIH HHS
- R01 AG059874 NIA NIH HHS
- U24 RR021382 NCRR NIH HHS
- P30 AG066444 NIA NIH HHS
- P01 AG003991 NIA NIH HHS
- P50 AG005681 NIA NIH HHS
- U54 EB020403 NIBIB NIH HHS
- R01 MH117601 NIMH NIH HHS
- U54 MH091657 NIMH NIH HHS
- R01 AG021910 NIA NIH HHS
- R01 MH078143 NIMH NIH HHS
- P41 RR015241 NCRR NIH HHS
- S10 OD023696 NIH HHS
- R01 MH083824 NIMH NIH HHS
- This research was funded in part by NIH ENIGMA Center grant U54 EB020403, supported by the Big Data to Knowledge (BD2K) Centers of Excellence program funded by a cross-NIH initiative. Additional grant support was provided by: R01 AG059874, R01 MH117601, R01 MH121246, and P41 EB015922. QTIM was supported by NIH R01 HD050735, and the NHMRC 486682, Australia; GOBS: Financial support for this study was provided by the National Institute of Mental Health grants MH078143 (PI: DC Glahn), MH078111 (PI: J Blangero), and MH083824 (PI: DC Glahn & J Blangero); HCP data were provided [in part] by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University; UK Biobank: This research was conducted using the UK Biobank Resource under Application Number ‘11559’; BrainVISA’s Morphologist software development received funding from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under Grant Agreement No 720270 & 785907 (Human Brain ProjectSGA1 & SGA2), and by the FRM DIC20161236445. OASIS: Cross-Sectional: Principal Investigators: D. Marcus, R. Buckner, J. Csernansky J. Morris; P50 AG05681, P01 AG03991, P01 AG026276, R01 AG021910, P20 MH071616, U24 RR021382. KKI was supported by NIH grants NCRR P41 RR015241 (Peter C.M. van Zijl), 1R01NS056307 (Jerry Prince), 1R21NS064534-01A109 (Bennett A. Landman/Jerry L. Prince), 1R03EB012461-01 (Bennett A. Landman). Neda Jahanshad and Paul Thompson are MPIs of a research project grant from Biogen, Inc. (PO 969323).
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Affiliation(s)
- Fabrizio Pizzagalli
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA.
| | - Guillaume Auzias
- Institut de Neurosciences de la Timone, UMR7289, Aix-Marseille Université & CNRS, Marseille, France
| | - Qifan Yang
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Samuel R Mathias
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Yale University School of Medicine, New Haven, CT, USA
| | - Joshua Faskowitz
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Joshua D Boyd
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Armand Amini
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Denis Rivière
- Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette, France
- CATI, Multicenter Neuroimaging Platform, Paris, France
| | - Katie L McMahon
- School of Clinical Sciences and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Greig I de Zubicaray
- Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD, 4000, Australia
| | | | - Jean-François Mangin
- Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette, France
- CATI, Multicenter Neuroimaging Platform, Paris, France
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Yale University School of Medicine, New Haven, CT, USA
| | - John Blangero
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, Brisbane, QLD, 4072, Australia
- Centre for Advanced Imaging, University of Queensland, Brisbane, QLD, 4072, Australia
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA.
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15
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Zhang T, Huang Y, Zhao L, He Z, Jiang X, Guo L, Hu X, Liu T. Identifying Cross-individual Correspondences of 3-hinge Gyri. Med Image Anal 2020; 63:101700. [PMID: 32361590 DOI: 10.1016/j.media.2020.101700] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 04/04/2020] [Accepted: 04/07/2020] [Indexed: 01/16/2023]
Abstract
Human brain alignment based on imaging data has long been an intriguing research topic. One of the challenges is the huge inter-individual variabilities, which are pronounced not only in cortical folding patterns, but also in the underlying structural and functional patterns. Also, it is still not fully understood how to link the cross-subject similarity of cortical folding patterns to the correspondences of structural brain wiring diagrams and brain functions. Recently, a specific cortical gyral folding pattern was identified, which is the conjunction of gyri from multiple directions and termed a "gyral hinge". These gyral hinges are characterized by the thickest cortices, the densest long-range fibers, and the most complex functional profiles in contrast to other gyri. In addition to their structural and functional importance, a small portion of 3-hinges found correspondences across subjects and even species by manual labeling. However, it is unclear if such cross-subject correspondences can be found for all 3-hinges, or if the correspondences are interpretable from structural and functional aspects. Given the huge variability of cortical folding patterns, we proposed a novel algorithm which jointly uses structural MRI-derived cortical folding patterns and diffusion-MRI-derived fiber shape features to estimate the correspondences. This algorithm was executed in a group-wise manner, whereby 3-hinges of all subjects were simultaneously aligned. The effectiveness of the algorithm was demonstrated by higher cross-subject 3-hinges' consistency with respect to structural and functional metrics, when compared with other methods. Our findings provide a novel approach to brain alignment and an insight to the linkage between cortical folding patterns and the underlying structural connective diagrams and brain functions.
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Affiliation(s)
- Tuo Zhang
- School of Automation, Northwestern Polytechnical University, Xi'an, China.
| | - Ying Huang
- School of Automation, Northwestern Polytechnical University, Xi'an, China
| | - Lin Zhao
- School of Automation, Northwestern Polytechnical University, Xi'an, China; Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, USA
| | - Zhibin He
- School of Automation, Northwestern Polytechnical University, Xi'an, China
| | - Xi Jiang
- School of Life Science and Technology, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Lei Guo
- School of Automation, Northwestern Polytechnical University, Xi'an, China
| | - Xiaoping Hu
- Department of Bioengineering, University of California Riverside, Riverside, CA, USA
| | - Tianming Liu
- Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, USA
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16
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Mangin JF, Le Guen Y, Labra N, Grigis A, Frouin V, Guevara M, Fischer C, Rivière D, Hopkins WD, Régis J, Sun ZY. "Plis de passage" Deserve a Role in Models of the Cortical Folding Process. Brain Topogr 2019; 32:1035-1048. [PMID: 31583493 PMCID: PMC6882753 DOI: 10.1007/s10548-019-00734-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 09/24/2019] [Indexed: 12/11/2022]
Abstract
Cortical folding is a hallmark of brain topography whose variability across individuals remains a puzzle. In this paper, we call for an effort to improve our understanding of the pli de passage phenomenon, namely annectant gyri buried in the depth of the main sulci. We suggest that plis de passage could become an interesting benchmark for models of the cortical folding process. As an illustration, we speculate on the link between modern biological models of cortical folding and the development of the Pli de Passage Frontal Moyen (PPFM) in the middle of the central sulcus. For this purpose, we have detected nine interrupted central sulci in the Human Connectome Project dataset, which are used to explore the organization of the hand sensorimotor areas in this rare configuration of the PPFM.
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Affiliation(s)
| | - Yann Le Guen
- Neurospin, CEA, Paris-Saclay University, 91191, Gif-sur-Yvette, France
| | - Nicole Labra
- Neurospin, CEA, Paris-Saclay University, 91191, Gif-sur-Yvette, France
| | - Antoine Grigis
- Neurospin, CEA, Paris-Saclay University, 91191, Gif-sur-Yvette, France
| | - Vincent Frouin
- Neurospin, CEA, Paris-Saclay University, 91191, Gif-sur-Yvette, France
| | - Miguel Guevara
- Neurospin, CEA, Paris-Saclay University, 91191, Gif-sur-Yvette, France
| | - Clara Fischer
- Neurospin, CEA, Paris-Saclay University, 91191, Gif-sur-Yvette, France
| | - Denis Rivière
- Neurospin, CEA, Paris-Saclay University, 91191, Gif-sur-Yvette, France
| | - William D Hopkins
- MD Anderson Cancer Center, University of Texas, 1515 Holcombe Blvd., Houston, TX, 77030, USA
| | - Jean Régis
- INS, CHU La Timone, Aix-Marseille University, 264, rue Saint Pierre, 13385, Marseille, France
| | - Zhong Yi Sun
- Neurospin, CEA, Paris-Saclay University, 91191, Gif-sur-Yvette, France
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17
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Le Guen Y, Auzias G, Leroy F, Noulhiane M, Dehaene-Lambertz G, Duchesnay E, Mangin JF, Coulon O, Frouin V. Genetic Influence on the Sulcal Pits: On the Origin of the First Cortical Folds. Cereb Cortex 2019; 28:1922-1933. [PMID: 28444225 DOI: 10.1093/cercor/bhx098] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Indexed: 12/13/2022] Open
Abstract
The influence of genes on cortical structures has been assessed through various phenotypes. The sulcal pits, which are the putative first cortical folds, have for long been assumed to be under tight genetic control, but this was never quantified. We estimated the pit depth heritability in various brain regions using the high quality and large sample size of the Human Connectome Project pedigree cohort. Analysis of additive genetic variance indicated that their heritability ranges between 0.2 and 0.5 and displays a regional genetic control with an overall symmetric pattern between hemispheres. However, a noticeable asymmetry of heritability estimates is observed in the superior temporal sulcus and could thus be related to language lateralization. The heritability range estimated in this study reinforces the idea that cortical shape is determined primarily by nongenetic factors, which is consistent with the important increase of cortical folding from birth to adult life and thus predominantly constrained by environmental factors. Nevertheless, the genetic cues, implicated with various local levels of heritability in the formation of sulcal pits, play a fundamental role in the normal gyral pattern development. Quantifying their influence and identifying the underlying genetic variants would provide insight into neurodevelopmental disorders.
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Affiliation(s)
- Yann Le Guen
- UNATI, Neurospin, Institut Joliot, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Guillaume Auzias
- Institut de Neurosciences de la Timone, UMR 7289, Aix Marseille Université, CNRS, Marseille 13000, France.,Laboratoire des Sciences de l'Information et des Systèmes, UMR 7296, Aix Marseille Université, CNRS, Marseille 13000, France
| | - François Leroy
- Cognitive Neuroimaging Unit, U992, INSERM, Neurospin, Institut Joliot, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Marion Noulhiane
- UNIACT, U1129, INSERM, Neurospin, Institut Joliot, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Ghislaine Dehaene-Lambertz
- Cognitive Neuroimaging Unit, U992, INSERM, Neurospin, Institut Joliot, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Edouard Duchesnay
- UNATI, Neurospin, Institut Joliot, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Jean-François Mangin
- UNATI, Neurospin, Institut Joliot, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Olivier Coulon
- Institut de Neurosciences de la Timone, UMR 7289, Aix Marseille Université, CNRS, Marseille 13000, France.,Laboratoire des Sciences de l'Information et des Systèmes, UMR 7296, Aix Marseille Université, CNRS, Marseille 13000, France
| | - Vincent Frouin
- UNATI, Neurospin, Institut Joliot, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
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18
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Handedness in monkeys reflects hemispheric specialization within the central sulcus. An in vivo MRI study in right- and left-handed olive baboons. Cortex 2019; 118:203-211. [DOI: 10.1016/j.cortex.2019.01.001] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Revised: 12/03/2018] [Accepted: 01/03/2019] [Indexed: 01/01/2023]
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19
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Koten JW, Schüppen A, Morozova M, Lehofer A, Koschutnig K, Wood G. On the homogeneity and heterogeneity of cortical thickness profiles in Homo sapiens sapiens. Sci Rep 2017; 7:17937. [PMID: 29263334 PMCID: PMC5738339 DOI: 10.1038/s41598-017-17154-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 11/17/2017] [Indexed: 11/17/2022] Open
Abstract
Cortical thickness has been investigated since the beginning of the 20th century, but we do not know how similar the cortical thickness profiles among humans are. In this study, the local similarity of cortical thickness profiles was investigated using sliding window methods. Here, we show that approximately 5% of the cortical thickness profiles are similarly expressed among humans while 45% of the cortical thickness profiles show a high level of heterogeneity. Therefore, heterogeneity is the rule, not the exception. Cortical thickness profiles of somatosensory homunculi and the anterior insula are consistent among humans, while the cortical thickness profiles of the motor homunculus are more variable. Cortical thickness profiles of homunculi that code for muscle position and skin stimulation are highly similar among humans despite large differences in sex, education, and age. This finding suggests that the structure of these cortices remains well preserved over a lifetime. Our observations possibly relativize opinions on cortical plasticity.
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Affiliation(s)
- Jan Willem Koten
- Department of Psychology, Karl-Franzens-University of Graz, Graz, 8010, Austria. .,Brain Imaging Facility of the Interdisciplinary Centre for Clinical Research of the University Hospital Rheinisch-Westfälische Technische Hochschule (RWTH), Aachen, 52074, Germany.
| | - André Schüppen
- Brain Imaging Facility of the Interdisciplinary Centre for Clinical Research of the University Hospital Rheinisch-Westfälische Technische Hochschule (RWTH), Aachen, 52074, Germany
| | - Maria Morozova
- Department of Psychology, Karl-Franzens-University of Graz, Graz, 8010, Austria
| | - Agnes Lehofer
- Department of Psychology, Karl-Franzens-University of Graz, Graz, 8010, Austria
| | - Karl Koschutnig
- Department of Psychology, Karl-Franzens-University of Graz, Graz, 8010, Austria.,Biotechmed Graz, Graz, 8010, Austria
| | - Guilherme Wood
- Department of Psychology, Karl-Franzens-University of Graz, Graz, 8010, Austria
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20
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Hotier S, Leroy F, Boisgontier J, Laidi C, Mangin JF, Delorme R, Bolognani F, Czech C, Bouquet C, Toledano E, Bouvard M, Petit J, Mishchenko M, d'Albis MA, Gras D, Gaman A, Scheid I, Leboyer M, Zalla T, Houenou J. Social cognition in autism is associated with the neurodevelopment of the posterior superior temporal sulcus. Acta Psychiatr Scand 2017; 136:517-525. [PMID: 28940401 DOI: 10.1111/acps.12814] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/29/2017] [Indexed: 12/23/2022]
Abstract
OBJECTIVE The posterior superior temporal sulcus (pSTS) plays a critical role in the 'social brain'. Its neurodevelopment and relationship with the social impairment in autism spectrum disorders (ASD) are not well understood. We explored the relationship between social cognition and the neurodevelopment of the pSTS in ASD. METHOD We included 44 adults with high-functioning ASD and 36 controls. We assessed their performances on the 'Reading the mind in the eyes' test (for 34 of 44 subjects with ASD and 30 of 36 controls), their fixation time on the eyes with eye tracking (for 35 of 44 subjects with ASD and 30 of 36 controls) and the morphology of the caudal branches of the pSTS (length and depth), markers of the neurodevelopment, with structural MRI. RESULTS The right anterior caudal ramus of the pSTS was significantly longer in patients with ASD compared with controls (52.6 mm vs. 38.3 mm; P = 1.4 × 10-3 ; Cohen's d = 0.76). Its length negatively correlated with fixation time on the eyes (P = 0.03) in the ASD group and with the 'Reading the mind in the eyes' test scores in both groups (P = 0.03). CONCLUSION Our findings suggest that the neurodevelopment of the pSTS is related to the ASD social impairments.
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Affiliation(s)
- S Hotier
- UNIACT, Psychiatry Team, Neurospin Neuroimaging Platform, CEA Saclay, Gif-Sur-Yvette, France
- INSERM U955, Mondor Institute for Biomedical Research, Team 15, Translational Psychiatry, Créteil, France
- Fondation Fondamental, Créteil, France
- Psychiatry Department, Charles Nicolle University Hospital, Rouen, France
- DHU PePSY, Department of Psychiatry, Assistance Publique-Hôpitaux de Paris (AP-HP), Mondor University Hospitals, Créteil, France
- Faculty of Medicine, Paris East University, Créteil, France
| | - F Leroy
- INSERM, U992, UNICOG, NeuroSpin Neuroimaging Platform, University Paris Saclay, CEA Saclay, Gif-Sur-Yvette, France
| | - J Boisgontier
- UNIACT, Psychiatry Team, Neurospin Neuroimaging Platform, CEA Saclay, Gif-Sur-Yvette, France
- INSERM U955, Mondor Institute for Biomedical Research, Team 15, Translational Psychiatry, Créteil, France
- Fondation Fondamental, Créteil, France
| | - C Laidi
- UNIACT, Psychiatry Team, Neurospin Neuroimaging Platform, CEA Saclay, Gif-Sur-Yvette, France
- INSERM U955, Mondor Institute for Biomedical Research, Team 15, Translational Psychiatry, Créteil, France
- Fondation Fondamental, Créteil, France
- DHU PePSY, Department of Psychiatry, Assistance Publique-Hôpitaux de Paris (AP-HP), Mondor University Hospitals, Créteil, France
| | - J-F Mangin
- UNATI, Neurospin Neuroimaging Platform, CEA Saclay, Gif-Sur-Yvette, France
| | - R Delorme
- Fondation Fondamental, Créteil, France
- Child and Adolescent Psychiatry Department, Assistance Publique-Hôpitaux de Paris (AP-HP), Robert Debré Hospital, Paris, France
- Institut Pasteur, Human Genetics and Cognitive Functions Unit, Paris, France
| | - F Bolognani
- Neuroscience, Ophthalmology, and Rare Diseases (NORD), Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - C Czech
- Neuroscience, Ophthalmology, and Rare Diseases (NORD), Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - C Bouquet
- Neuroscience, Ophthalmology, and Rare Diseases (NORD), Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - E Toledano
- Institut Roche, Roche Pharmaceuticals, Boulogne-Billancourt, France
| | - M Bouvard
- Fondation Fondamental, Créteil, France
- Children and Adolescent Psychiatry Department, Bordeaux University Hospital, Bordeaux, France
| | - J Petit
- Fondation Fondamental, Créteil, France
- DHU PePSY, Department of Psychiatry, Assistance Publique-Hôpitaux de Paris (AP-HP), Mondor University Hospitals, Créteil, France
| | - M Mishchenko
- Jean Nicod Institute, Centre National de la Recherche Scientifique, Ecole Normale Supeérieure, PSL, Research University, Paris, France
- Laboratory of Psychopathology and Health Processes (EA 4057), Paris Descartes University, Sorbonne Paris Cité, France
| | - M-A d'Albis
- UNIACT, Psychiatry Team, Neurospin Neuroimaging Platform, CEA Saclay, Gif-Sur-Yvette, France
- INSERM U955, Mondor Institute for Biomedical Research, Team 15, Translational Psychiatry, Créteil, France
- Fondation Fondamental, Créteil, France
- DHU PePSY, Department of Psychiatry, Assistance Publique-Hôpitaux de Paris (AP-HP), Mondor University Hospitals, Créteil, France
| | - D Gras
- Fondation Fondamental, Créteil, France
- Jean Nicod Institute, Centre National de la Recherche Scientifique, Ecole Normale Supeérieure, PSL, Research University, Paris, France
- Laboratoire de Linguistique Formelle, CNRS, Paris Diderot University, Paris, France
| | - A Gaman
- INSERM U955, Mondor Institute for Biomedical Research, Team 15, Translational Psychiatry, Créteil, France
- Fondation Fondamental, Créteil, France
- DHU PePSY, Department of Psychiatry, Assistance Publique-Hôpitaux de Paris (AP-HP), Mondor University Hospitals, Créteil, France
| | - I Scheid
- INSERM U955, Mondor Institute for Biomedical Research, Team 15, Translational Psychiatry, Créteil, France
- Fondation Fondamental, Créteil, France
- DHU PePSY, Department of Psychiatry, Assistance Publique-Hôpitaux de Paris (AP-HP), Mondor University Hospitals, Créteil, France
- Child and Adolescent Psychiatry Department, Assistance Publique-Hôpitaux de Paris (AP-HP), Robert Debré Hospital, Paris, France
| | - M Leboyer
- INSERM U955, Mondor Institute for Biomedical Research, Team 15, Translational Psychiatry, Créteil, France
- Fondation Fondamental, Créteil, France
- DHU PePSY, Department of Psychiatry, Assistance Publique-Hôpitaux de Paris (AP-HP), Mondor University Hospitals, Créteil, France
- Faculty of Medicine, Paris East University, Créteil, France
| | - T Zalla
- Fondation Fondamental, Créteil, France
- Jean Nicod Institute, Centre National de la Recherche Scientifique, Ecole Normale Supeérieure, PSL, Research University, Paris, France
| | - J Houenou
- UNIACT, Psychiatry Team, Neurospin Neuroimaging Platform, CEA Saclay, Gif-Sur-Yvette, France
- INSERM U955, Mondor Institute for Biomedical Research, Team 15, Translational Psychiatry, Créteil, France
- Fondation Fondamental, Créteil, France
- DHU PePSY, Department of Psychiatry, Assistance Publique-Hôpitaux de Paris (AP-HP), Mondor University Hospitals, Créteil, France
- Faculty of Medicine, Paris East University, Créteil, France
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Genetic Factors and Orofacial Motor Learning Selectively Influence Variability in Central Sulcus Morphology in Chimpanzees ( Pan troglodytes). J Neurosci 2017; 37:5475-5483. [PMID: 28473646 DOI: 10.1523/jneurosci.2641-16.2017] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2016] [Revised: 01/23/2017] [Accepted: 02/01/2017] [Indexed: 11/21/2022] Open
Abstract
Captive chimpanzees (Pan troglodytes) have been shown to learn the use of novel attention-getting (AG) sounds to capture the attention of humans as a means of requesting or drawing their attention to a desired object or food. There are significant individual differences in the use of AG sounds by chimpanzees and, here, we examined whether changes in cortical organization of the central sulcus (CS) were associated with AG sound production. MRI scans were collected from 240 chimpanzees, including 122 that reliably produced AG sounds and 118 that did not. For each subject, the depth of CS was quantified along the superior-inferior plane with specific interest in the inferior portion corresponding to the region of the motor cortex where the mouth and orofacial movements are controlled. Results indicated that CS depth in the inferior, but not superior, portion was significantly greater in chimpanzees that reliably produced AG sounds compared with those who did not. Quantitative genetic analyses indicated that overall CS surface area and depth were significantly heritable, particularly in the superior regions, but less so in the inferior and central portions. Further, heritability in CS depth was altered as a function of acquisition of AG sounds. The collective results suggest that learning to produce AG sounds resulted in region-specific cortical reorganization within the inferior portion of the CS, a finding previously undocumented in chimpanzees or any nonhuman primate.SIGNIFICANCE STATEMENT Recent studies in chimpanzees (Pan troglodytes) have shown that some can learn to produce novel sounds by configuring different orofacial movement patterns and these sounds are used in communicatively relevant contexts. Here, we examined the neuromorphological correlates in the production of these sounds in chimpanzees. We show that chimpanzees that have learned to produce these sounds show significant differences in central sulcus (CS) morphology, particularly in the inferior region. We further show that overall CS morphology and regions within the superior portion are significantly heritable, whereas central and inferior portions of the CS are not. The collective findings suggest chimpanzees exhibit cortical plasticity in regions of the brain that were central to the emergence of speech functions in humans.
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22
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Pereira-Pedro AS, Bruner E. Sulcal pattern, extension, and morphology of the precuneus in adult humans. Ann Anat 2016; 208:85-93. [PMID: 27210059 DOI: 10.1016/j.aanat.2016.05.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Revised: 05/05/2016] [Accepted: 05/09/2016] [Indexed: 12/01/2022]
Abstract
The precuneus represents a relevant cortical component of the parietal lobes. It is involved in visuospatial integration, imagery and simulation, self-awareness, and it is a main node of the Default Mode Network. Its morphology is extremely variable among adult humans, and it has been hypothesized to have undergone major morphological changes in the evolution of Homo sapiens. Recent studies have evidenced a marked variation also associated with its sulcal patterns. The present survey contributes to add further information on this topic, investigating the extension of its main folds, their geometrical influence on the lateral parietal areas, and the relationships with the sulcal schemes. The subparietal sulcus, on average, extends 14mm in its anterior and middle regions and 11mm in its posterior area. The precuneal area extends 36mm above this sulcus. The subparietal sulcus is generally wider on the right hemisphere. Males have larger values than females, but differences are not significant. Sulcal pattern is not correlated with the size of the subparietal sulcus extension. There is a lack of consistent correspondence between hemispheres in the sulcal patterns, pointing further towards a notable individual variability and random asymmetries. The vertical extension of the precuneus influences the height and proportions of the upper parietal profile, but the lateral parietal outline is not sensitive to precuneal variation. There is no correlation between external cortical shape and the size of the subparietal sulcus. Morphological analyses of the precuneus must be integrated with studies on histological factors involved in its variability and, ultimately, with analyses on possible relationships with functional factors.
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Affiliation(s)
| | - Emiliano Bruner
- Centro Nacional de Investigación sobre la Evolución Humana, Spain.
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23
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Li S, Wang S, Li X, Li Q, Li X. Abnormal surface morphology of the central sulcus in children with attention-deficit/hyperactivity disorder. Front Neuroanat 2015; 9:114. [PMID: 26379511 PMCID: PMC4551868 DOI: 10.3389/fnana.2015.00114] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2015] [Accepted: 08/08/2015] [Indexed: 11/13/2022] Open
Abstract
The central sulcus (CS) divides the primary motor and somatosensory areas, and its three-dimensional (3D) anatomy reveals the structural changes of the sensorimotor regions. Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that is associated with sensorimotor and executive function deficits. However, it is largely unknown whether the morphology of the CS alters due to inappropriate development in the ADHD brain. Here, we employed the sulcus-based morphometry approach to investigate the 3D morphology of the CS in 42 children whose ages spanned from 8.8 to 13.5 years (21 with ADHD and 21 controls). After automatic labeling of each CS, we computed seven regional shape metrics for each CS, including the global average length, average depth, maximum depth, average span, surface area, average cortical thickness, and local sulcal profile. We found that the average depth and maximum depth of the left CS as well as the average cortical thickness of bilateral CS in the ADHD group were significantly larger than those in the healthy children. Moreover, significant between-group differences in the sulcal profile had been found in middle sections of the CSs bilaterally, and these changes were positively correlated with the hyperactivity-impulsivity scores in the children with ADHD. Altogether, our results provide evidence for the abnormity of the CS anatomical morphology in children with ADHD due to the structural changes in the motor cortex, which significantly contribute to the clinical symptomatology of the disorder.
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Affiliation(s)
- Shuyu Li
- School of Biological Science and Medical Engineering, Beihang University Beijing, China
| | - Shaoyi Wang
- School of Biological Science and Medical Engineering, Beihang University Beijing, China
| | - Xinwei Li
- School of Biological Science and Medical Engineering, Beihang University Beijing, China
| | - Qiongling Li
- School of Biological Science and Medical Engineering, Beihang University Beijing, China
| | - Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology Newark, NJ, USA ; The Gruss Magnetic Resonance Research Center, Department of Radiology, Albert Einstein College of Medicine New York, NY, USA
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Asymmetries of the central sulcus in young adults: Effects of gender, age and sulcal pattern. Int J Dev Neurosci 2015; 44:65-74. [DOI: 10.1016/j.ijdevneu.2015.06.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2015] [Revised: 06/04/2015] [Accepted: 06/06/2015] [Indexed: 12/12/2022] Open
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Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants. Neuroimage 2014; 100:206-18. [PMID: 24945660 DOI: 10.1016/j.neuroimage.2014.06.004] [Citation(s) in RCA: 91] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2014] [Revised: 04/20/2014] [Accepted: 06/04/2014] [Indexed: 01/05/2023] Open
Abstract
Sulcal pits, the locally deepest points in sulci of the highly convoluted and variable cerebral cortex, are found to be spatially consistent across human adult individuals. It is suggested that sulcal pits are genetically controlled and have close relationships with functional areas. To date, the existing imaging studies of sulcal pits are mainly focused on adult brains, yet little is known about the spatial distribution and temporal development of sulcal pits in the first 2 years of life, which is the most dynamic and critical period of postnatal brain development. Studying sulcal pits during this period would greatly enrich our limited understandings of the origins and developmental trajectories of sulcal pits, and would also provide important insights into many neurodevelopmental disorders associated with abnormal cortical foldings. In this paper, by using surface-based morphometry, for the first time, we systemically investigated the spatial distribution and temporal development of sulcal pits in major cortical sulci from 73 healthy infants, each with three longitudinal 3T MR scans at term birth, 1 year, and 2 years of age. Our results suggest that the spatially consistent distributions of sulcal pits in major sulci across individuals have already existed at term birth and this spatial distribution pattern keeps relatively stable in the first 2 years of life, despite that the cerebral cortex expands dramatically and the sulcal depth increases considerably during this period. Specially, the depth of sulcal pits increases regionally heterogeneously, with more rapid growth in the high-order association cortex, including the prefrontal and temporal cortices, than the sensorimotor cortex in the first 2 years of life. Meanwhile, our results also suggest that there exist hemispheric asymmetries of the spatial distributions of sulcal pits in several cortical regions, such as the central, superior temporal and postcentral sulci, consistently from birth to 2 years of age, which likely has close relationships with the lateralization of brain functions of these regions. This study provides detailed insights into the spatial distribution and temporal development of deep sulcal landmarks in infants.
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Toward neurobiological characterization of functional homogeneity in the human cortex: regional variation, morphological association and functional covariance network organization. Brain Struct Funct 2014; 220:2485-507. [DOI: 10.1007/s00429-014-0795-8] [Citation(s) in RCA: 90] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2013] [Accepted: 05/11/2014] [Indexed: 01/14/2023]
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