1
|
Snyder WE, Vértes PE, Kyriakopoulou V, Wagstyl K, Williams LZJ, Moraczewski D, Thomas AG, Karolis VR, Seidlitz J, Rivière D, Robinson EC, Mangin JF, Raznahan A, Bullmore ET. A bimodal taxonomy of adult human brain sulcal morphology related to timing of fetal sulcation and trans-sulcal gene expression gradients. Neuron 2024:S0896-6273(24)00568-3. [PMID: 39178859 DOI: 10.1016/j.neuron.2024.07.023] [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: 11/18/2023] [Revised: 05/22/2024] [Accepted: 07/29/2024] [Indexed: 08/26/2024]
Abstract
We developed a computational pipeline (now provided as a resource) for measuring morphological similarity between cortical surface sulci to construct a sulcal phenotype network (SPN) from each magnetic resonance imaging (MRI) scan in an adult cohort (n = 34,725; 45-82 years). Networks estimated from pairwise similarities of 40 sulci on 5 morphological metrics comprised two clusters of sulci, represented also by the bimodal distribution of sulci on a linear-to-complex dimension. Linear sulci were more heritable and typically located in unimodal cortex, and complex sulci were less heritable and typically located in heteromodal cortex. Aligning these results with an independent fetal brain MRI cohort (n = 228; 21-36 gestational weeks), we found that linear sulci formed earlier, and the earliest and latest-forming sulci had the least between-adult variation. Using high-resolution maps of cortical gene expression, we found that linear sulcation is mechanistically underpinned by trans-sulcal gene expression gradients enriched for developmental processes.
Collapse
Affiliation(s)
- William E Snyder
- Department of Psychiatry, University of Cambridge, Cambridge, UK; Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA.
| | - Petra E Vértes
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Vanessa Kyriakopoulou
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Science, King's College London, London, UK
| | - Konrad Wagstyl
- Wellcome Centre for Human Neuroimaging, University College London, London, UK
| | - Logan Z J Williams
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Science, King's College London, London, UK
| | - Dustin Moraczewski
- Data Science and Sharing Team, National Institute of Mental Health, Bethesda, MD, USA
| | - Adam G Thomas
- Data Science and Sharing Team, National Institute of Mental Health, Bethesda, MD, USA
| | - Vyacheslav R Karolis
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Jakob Seidlitz
- Lifespan Brain Institute, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA; Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Denis Rivière
- Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette 91191, France
| | - Emma C Robinson
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Science, King's College London, London, UK
| | - Jean-Francois Mangin
- Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette 91191, France
| | - Armin Raznahan
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Edward T Bullmore
- Department of Psychiatry, University of Cambridge, Cambridge, UK; Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, UK
| |
Collapse
|
2
|
Levman J, McCann B, Baumer N, Lam MY, Shiohama T, Cogger L, MacDonald A, Takahashi E. Structural Magnetic Resonance Imaging-Based Surface Morphometry Analysis of Pediatric Down Syndrome. BIOLOGY 2024; 13:575. [PMID: 39194513 DOI: 10.3390/biology13080575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 07/10/2024] [Accepted: 07/24/2024] [Indexed: 08/29/2024]
Abstract
Down syndrome (DS) is a genetic disorder characterized by intellectual disability whose etiology includes an additional partial or full copy of chromosome 21. Brain surface morphometry analyses can potentially assist in providing a better understanding of structural brain differences, and may help characterize DS-specific neurodevelopment. We performed a retrospective surface morphometry study of 73 magnetic resonance imaging (MRI) examinations of DS patients (aged 1 day to 22 years) and compared them to a large cohort of 993 brain MRI examinations of neurotypical participants, aged 1 day to 32 years. Surface curvature measurements, absolute surface area measurements, and surface areas as a percentage of total brain surface area (%TBSA) were extracted from each brain region in each examination. Results demonstrate broad reductions in surface area and abnormalities of surface curvature measurements across the brain in DS. After adjusting our regional surface area measurements as %TBSA, abnormally increased presentation in DS relative to neurotypical controls was observed in the left precentral, bilateral entorhinal, left parahippocampal, and bilateral perirhinal cortices, as well as Brodmann's area 44 (left), and the right temporal pole. Findings suggest the presence of developmental abnormalities of regional %TBSA in DS that can be characterized from clinical MRI examinations.
Collapse
Affiliation(s)
- Jacob Levman
- Department of Computer Science, St. Francis Xavier University, Antigonish, NS B2G 2W5, Canada
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, Boston, MA 02129, USA
- Nova Scotia Health Authority, Halifax, NS B3H 1V8, Canada
| | - Bernadette McCann
- Department of Human Kinetics, St. Francis Xavier University, Antigonish, NS B2G 2W5, Canada
| | - Nicole Baumer
- Department of Neurology, Boston Children's Hospital, 300 Longwood Ave, Boston, MA 02115, USA
| | - Melanie Y Lam
- Department of Human Kinetics, St. Francis Xavier University, Antigonish, NS B2G 2W5, Canada
| | - Tadashi Shiohama
- Department of Pediatrics, Graduate School of Medicine, Chiba University, Chiba 260-8677, Japan
| | - Liam Cogger
- Department of Education, St. Francis Xavier University, Antigonish, NS B2G 2W5, Canada
| | - Allissa MacDonald
- Department of Biology, St. Francis Xavier University, Antigonish, NS B2G 2W5, Canada
| | - Emi Takahashi
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, Boston, MA 02129, USA
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, 401 Park Dr., Boston, MA 02215, USA
- Department of Radiology, Harvard Medical School, Boston, MA 02115, USA
| |
Collapse
|
3
|
Nolan E, Loh KK, Petrides M. Morphological patterns and spatial probability maps of the inferior frontal sulcus in the human brain. Hum Brain Mapp 2024; 45:e26759. [PMID: 38989632 PMCID: PMC11237881 DOI: 10.1002/hbm.26759] [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: 03/03/2024] [Revised: 05/07/2024] [Accepted: 05/31/2024] [Indexed: 07/12/2024] Open
Abstract
The inferior frontal sulcus (ifs) is a prominent sulcus on the lateral frontal cortex, separating the middle frontal gyrus from the inferior frontal gyrus. The morphology of the ifs can be difficult to distinguish from adjacent sulci, which are often misidentified as continuations of the ifs. The morphological variability of the ifs and its relationship to surrounding sulci were examined in 40 healthy human subjects (i.e., 80 hemispheres). The sulci were identified and labeled on the native cortical surface meshes of individual subjects, permitting proper intra-sulcal assessment. Two main morphological patterns of the ifs were identified across hemispheres: in Type I, the ifs was a single continuous sulcus, and in Type II, the ifs was discontinuous and appeared in two segments. The morphology of the ifs could be further subdivided into nine subtypes based on the presence of anterior and posterior sulcal extensions. The ifs was often observed to connect, either superficially or completely, with surrounding sulci, and seldom appeared as an independent sulcus. The spatial variability of the ifs and its various morphological configurations were quantified in the form of surface spatial probability maps which are made publicly available in the standard fsaverage space. These maps demonstrated that the ifs generally occupied a consistent position across hemispheres and across individuals. The normalized mean sulcal depths associated with the main morphological types were also computed. The present study provides the first detailed description of the ifs as a sulcal complex composed of segments and extensions that can be clearly differentiated from adjacent sulci. These descriptions, together with the spatial probability maps, are critical for the accurate identification of the ifs in anatomical and functional neuroimaging studies investigating the structural characteristics and functional organization of this region in the human brain.
Collapse
Affiliation(s)
- Erika Nolan
- Department of Psychology, McGill University, Montreal, Canada
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Kep Kee Loh
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada
- Department of Psychology, National University of Singapore, Singapore
| | - Michael Petrides
- Department of Psychology, McGill University, Montreal, Canada
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada
| |
Collapse
|
4
|
Wilson S, Christiaens D, Yun H, Uus A, Cordero-Grande L, Karolis V, Price A, Deprez M, Tournier JD, Rutherford M, Grant E, Hajnal JV, Edwards AD, Arichi T, O'Muircheartaigh J, Im K. Dynamic changes in subplate and cortical plate microstructure at the onset of cortical folding in vivo. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.10.16.562524. [PMID: 38979235 PMCID: PMC11230247 DOI: 10.1101/2023.10.16.562524] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Cortical gyrification takes place predominantly during the second to third trimester, alongside other fundamental developmental processes, such as the development of white matter connections, lamination of the cortex and formation of neural circuits. The mechanistic biology that drives the formation cortical folding patterns remains an open question in neuroscience. In our previous work, we modelled the in utero diffusion signal to quantify the maturation of microstructure in transient fetal compartments, identifying patterns of change in diffusion metrics that reflect critical neurobiological transitions occurring in the second to third trimester. In this work, we apply the same modelling approach to explore whether microstructural maturation of these compartments is correlated with the process of gyrification. We quantify the relationship between sulcal depth and tissue anisotropy within the cortical plate (CP) and underlying subplate (SP), key transient fetal compartments often implicated in mechanistic hypotheses about the onset of gyrification. Using in utero high angular resolution multi-shell diffusion-weighted imaging (HARDI) from the Developing Human Connectome Project (dHCP), our analysis reveals that the anisotropic, tissue component of the diffusion signal in the SP and CP decreases immediately prior to the formation of sulcal pits in the fetal brain. By back-projecting a map of folded brain regions onto the unfolded brain, we find evidence for cytoarchitectural differences between gyral and sulcal areas in the late second trimester, suggesting that regional variation in the microstructure of transient fetal compartments precedes, and thus may have a mechanistic function, in the onset of cortical folding in the developing human brain.
Collapse
Affiliation(s)
- Siân Wilson
- Research Department of Early Life Imaging, Kings College London, London, United Kingdom
- Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Boston, Massachusetts, USA
- Division of Newborn Medicine, Boston Children's Hospital, Boston, Massachusetts, USA
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Daan Christiaens
- Department of Electrical Engineering, Katholieke Universiteit Leuven, Belgium
| | - Hyukjin Yun
- Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Boston, Massachusetts, USA
- Division of Newborn Medicine, Boston Children's Hospital, Boston, Massachusetts, USA
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Alena Uus
- Research Department of Early Life Imaging, Kings College London, London, United Kingdom
- Department of Biomedical Engineering, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, United Kingdom
| | | | - Vyacheslav Karolis
- Research Department of Early Life Imaging, Kings College London, London, United Kingdom
| | - Anthony Price
- Research Department of Early Life Imaging, Kings College London, London, United Kingdom
| | - Maria Deprez
- Research Department of Early Life Imaging, Kings College London, London, United Kingdom
- Department of Biomedical Engineering, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, United Kingdom
| | - Jacques-Donald Tournier
- Research Department of Early Life Imaging, Kings College London, London, United Kingdom
- Department of Biomedical Engineering, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, United Kingdom
| | - Mary Rutherford
- Research Department of Early Life Imaging, Kings College London, London, United Kingdom
| | - Ellen Grant
- Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Boston, Massachusetts, USA
- Division of Newborn Medicine, Boston Children's Hospital, Boston, Massachusetts, USA
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Joseph V Hajnal
- Research Department of Early Life Imaging, Kings College London, London, United Kingdom
- Department of Biomedical Engineering, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, United Kingdom
| | - A David Edwards
- Research Department of Early Life Imaging, Kings College London, London, United Kingdom
| | - Tomoki Arichi
- Research Department of Early Life Imaging, Kings College London, London, United Kingdom
- Department of Bioengineering, Imperial College London, United Kingdom
- Children's Neurosciences, Evelina London Children's Hospital, Guy's and St Thomas' NHS Foundation Trust, United Kingdom
| | - Jonathan O'Muircheartaigh
- Research Department of Early Life Imaging, Kings College London, London, United Kingdom
- Department of Forensic and Neurodevelopmental Sciences, King's College London, United Kingdom
| | - Kiho Im
- Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Boston, Massachusetts, USA
- Division of Newborn Medicine, Boston Children's Hospital, Boston, Massachusetts, USA
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| |
Collapse
|
5
|
Maleyeff L, Park HJ, Khazal ZSH, Wypij D, Rollins CK, Yun HJ, Bellinger DC, Watson CG, Roberts AE, Newburger JW, Grant PE, Im K, Morton SU. Meta-regression of sulcal patterns, clinical and environmental factors on neurodevelopmental outcomes in participants with multiple CHD types. Cereb Cortex 2024; 34:bhae224. [PMID: 38836834 DOI: 10.1093/cercor/bhae224] [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: 03/20/2024] [Revised: 05/07/2024] [Accepted: 05/13/2024] [Indexed: 06/06/2024] Open
Abstract
Congenital heart disease affects 1% of infants and is associated with impaired neurodevelopment. Right- or left-sided sulcal features correlate with executive function among people with Tetralogy of Fallot or single ventricle congenital heart disease. Studies of multiple congenital heart disease types are needed to understand regional differences. Further, sulcal pattern has not been studied in people with d-transposition of the great arteries. Therefore, we assessed the relationship between sulcal pattern and executive function, general memory, and processing speed in a meta-regression of 247 participants with three congenital heart disease types (114 single ventricle, 92 d-transposition of the great arteries, and 41 Tetralogy of Fallot) and 94 participants without congenital heart disease. Higher right hemisphere sulcal pattern similarity was associated with improved executive function (Pearson r = 0.19, false discovery rate-adjusted P = 0.005), general memory (r = 0.15, false discovery rate P = 0.02), and processing speed (r = 0.17, false discovery rate P = 0.01) scores. These positive associations remained significant in for the d-transposition of the great arteries and Tetralogy of Fallot cohorts only in multivariable linear regression (estimated change β = 0.7, false discovery rate P = 0.004; β = 4.1, false discovery rate P = 0.03; and β = 5.4, false discovery rate P = 0.003, respectively). Duration of deep hypothermic circulatory arrest was also associated with outcomes in the multivariate model and regression tree analysis. This suggests that sulcal pattern may provide an early biomarker for prediction of later neurocognitive challenges among people with congenital heart disease.
Collapse
Affiliation(s)
- Lara Maleyeff
- Department of Biostatistics, Epidemiology, and Occupational Health, McGill University, Montreal, QC, Canada
| | - Hannah J Park
- Division of Newborn Medicine, Boston Children's Hospital, Boston 02115, MA, United States
| | - Zahra S H Khazal
- Division of Newborn Medicine, Boston Children's Hospital, Boston 02115, MA, United States
| | - David Wypij
- Department of Pediatrics, Harvard Medical School, Boston MA, United States
- Department of Cardiology, Boston Children's Hospital, Boston 02115, MA, United States
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston MA, United States
| | - Caitlin K Rollins
- Department of Neurology, Boston Children's Hospital 02115 Boston, MA, United States
- Department of Neurology, Harvard Medical School, Boston MA, United States
| | - Hyuk Jin Yun
- Division of Newborn Medicine, Boston Children's Hospital, Boston 02115, MA, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston 02115, MA, United States
| | - David C Bellinger
- Department of Neurology, Boston Children's Hospital 02115 Boston, MA, United States
- Department of Psychiatry, Boston Children's Hospital, Boston 02115, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston MA, United States
| | - Christopher G Watson
- Department of Neurology, Boston Children's Hospital 02115 Boston, MA, United States
| | - Amy E Roberts
- Department of Pediatrics, Harvard Medical School, Boston MA, United States
- Department of Cardiology, Boston Children's Hospital, Boston 02115, MA, United States
| | - Jane W Newburger
- Department of Pediatrics, Harvard Medical School, Boston MA, United States
- Department of Cardiology, Boston Children's Hospital, Boston 02115, MA, United States
| | - P Ellen Grant
- Department of Biostatistics, Epidemiology, and Occupational Health, McGill University, Montreal, QC, Canada
- Fetal Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston 02115, MA, United States
- Department of Radiology, Boston Children's Hospital, Boston 02115, MA, United States
| | - Kiho Im
- Division of Newborn Medicine, Boston Children's Hospital, Boston 02115, MA, United States
- Department of Pediatrics, Harvard Medical School, Boston MA, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston 02115, MA, United States
| | - Sarah U Morton
- Division of Newborn Medicine, Boston Children's Hospital, Boston 02115, MA, United States
- Department of Pediatrics, Harvard Medical School, Boston MA, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston 02115, MA, United States
| |
Collapse
|
6
|
Collantoni E, Alberti F, Dahmen B, von Polier G, Konrad K, Herpertz-Dahlmann B, Favaro A, Seitz J. Intra-individual cortical networks in Anorexia Nervosa: Evidence from a longitudinal dataset. EUROPEAN EATING DISORDERS REVIEW 2024; 32:298-309. [PMID: 37876109 DOI: 10.1002/erv.3043] [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: 03/20/2023] [Revised: 10/14/2023] [Accepted: 10/16/2023] [Indexed: 10/26/2023]
Abstract
OBJECTIVE This work investigates cortical thickness (CT) and gyrification patterns in Anorexia Nervosa (AN) before and after short-term weight restoration using graph theory tools. METHODS 38 female adolescents with AN underwent structural magnetic resonance imaging scans at baseline and after - on average - 3.5 months following short-term weight restoration while 53 age-matched healthy controls (HCs) were scanned once. Graph measures were compared between groups and longitudinally within the AN group. Associations with clinical measures such as age of onset, duration of illness, BMI standard deviation score (BMI-SDS), and longitudinal weight changes were tested via stepwise regression. RESULTS Cortical thickness graphs of patients with acute AN displayed lower modularity and small-world index (SWI) than HCs. Modularity recovered after weight gain. Reduced global efficiency and SWI were observed in patients at baseline compared to HCs based on gyrification networks. Significant associations between local clustering of CT at admission and BMI-SDS, and clustering/global efficiency of gyrification and duration of illness emerged. CONCLUSIONS Our results indicate a shift towards less organised CT networks in patients with acute AN. After weight recovery, the disarrangement seems to be partially reduced. However, longer-term follow-ups are needed to determine whether cortical organizational patterns fully return to normal.
Collapse
Affiliation(s)
- Enrico Collantoni
- Department of Neurosciences, University of Padua, Padova, Italy
- Padua Neuroscience Center, University of Padua, Padova, Italy
| | | | - Brigitte Dahmen
- Child and Adolescent Psychiatry, University Hospital, RWTH Aachen, Aachen, Germany
| | - Georg von Polier
- Child and Adolescent Psychiatry, University Hospital, RWTH Aachen, Aachen, Germany
- Child and Adolescent Psychiatry, University Hospital, Frankfurt, Germany
| | - Kerstin Konrad
- Child and Adolescent Psychiatry, University Hospital, RWTH Aachen, Aachen, Germany
- Section Neuropsychology, Child and Adolescent Psychiatry, University Hospital, RWTH Aachen, Aachen, Germany
| | | | - Angela Favaro
- Department of Neurosciences, University of Padua, Padova, Italy
- Padua Neuroscience Center, University of Padua, Padova, Italy
| | - Jochen Seitz
- Child and Adolescent Psychiatry, University Hospital, RWTH Aachen, Aachen, Germany
| |
Collapse
|
7
|
Zhao X, Wang Y, Wu X, Liu S. An MRI Study of Morphology, Asymmetry, and Sex Differences of Inferior Precentral Sulcus. Brain Topogr 2024:10.1007/s10548-024-01035-5. [PMID: 38374489 DOI: 10.1007/s10548-024-01035-5] [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: 08/23/2023] [Accepted: 01/15/2024] [Indexed: 02/21/2024]
Abstract
Numerous studies utilizing magnetic resonance imaging (MRI) have observed sex and interhemispheric disparities in sulcal morphology, which could potentially underpin certain functional disparities in the human brain. Most of the existing research examines the precentral sulcus comprehensively, with a rare focus on its subsections. To explore the morphology, asymmetry, and sex disparities within the inferior precentral sulcus (IPCS), we acquired 3.0T magnetic resonance images from 92 right-handed Chinese adolescents. Brainvisa was used to reconstruct the IPCS structure and calculate its mean depth (MD). Based on the morphological patterns of IPCS, it was categorized into five distinct types. Additionally, we analyzed four different types of spatial relationships between IPCS and inferior frontal sulcus (IFS). There was a statistically significant sex disparity in the MD of IPCS, primarily observed in the right hemisphere. Females exhibited significantly greater asymmetry in the MD of IPCS compared to males. No statistically significant sex or hemispheric variations were identified in sulcal patterns. Our findings expand the comprehension of inconsistencies in sulcal structure, while also delivering an anatomical foundation for the study of related regions' function.
Collapse
Affiliation(s)
- Xinran Zhao
- Department of Clinical Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, Shandong, China
- Institute for Sectional Anatomy and Digital Human, Department of Anatomy and Neurobiology, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China
- Department of Neurology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yu Wang
- Institute for Sectional Anatomy and Digital Human, Department of Anatomy and Neurobiology, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China
| | - Xiaokang Wu
- Department of Clinical Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, Shandong, China
- Institute for Sectional Anatomy and Digital Human, Department of Anatomy and Neurobiology, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China
| | - Shuwei Liu
- Institute for Sectional Anatomy and Digital Human, Department of Anatomy and Neurobiology, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China.
| |
Collapse
|
8
|
Maleyeff L, Newburger JW, Wypij D, Thomas NH, Anagnoustou E, Brueckner M, Chung WK, Cleveland J, Cunningham S, Gelb BD, Goldmuntz E, Hagler DJ, Huang H, King E, McQuillen P, Miller TA, Norris‐Brilliant A, Porter GA, Roberts AE, Grant PE, Im K, Morton SU. Association of genetic and sulcal traits with executive function in congenital heart disease. Ann Clin Transl Neurol 2024; 11:278-290. [PMID: 38009418 PMCID: PMC10863927 DOI: 10.1002/acn3.51950] [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: 10/12/2023] [Accepted: 11/06/2023] [Indexed: 11/28/2023] Open
Abstract
OBJECTIVE Persons with congenital heart disease (CHD) are at increased risk of neurodevelopmental disabilities, including impairments to executive function. Sulcal pattern features correlate with executive function in adolescents with single-ventricle heart disease and tetralogy of Fallot. However, the interaction of sulcal pattern features with genetic and participant factors in predicting executive dysfunction is unknown. METHODS We studied sulcal pattern features, participant factors, and genetic risk for executive function impairment in a cohort with multiple CHD types using stepwise linear regression and machine learning. RESULTS Genetic factors, including predicted damaging de novo or rare inherited variants in neurodevelopmental disabilities risk genes, apolipoprotein E genotype, and principal components of sulcal pattern features were associated with executive function measures after adjusting for age at testing, sex, mother's education, and biventricular versus single-ventricle CHD in a linear regression model. Using regression trees and bootstrap validation, younger participant age and larger alterations in sulcal pattern features were consistently identified as important predictors of decreased cognitive flexibility with left hemisphere graph topology often selected as the most important predictor. Inclusion of both sulcal pattern and genetic factors improved model fit compared to either alone. INTERPRETATION We conclude that sulcal measures remain important predictors of cognitive flexibility, and the model predicting executive outcomes is improved by inclusion of potential genetic sources of neurodevelopmental risk. If confirmed, measures of sulcal patterning may serve as early imaging biomarkers to identify those at heightened risk for future neurodevelopmental disabilities.
Collapse
Affiliation(s)
- Lara Maleyeff
- Department of BiostatisticsHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - Jane W. Newburger
- Department of PediatricsHarvard Medical SchoolBostonMassachusettsUSA
- Department of CardiologyBoston Children's HospitalBostonMassachusettsUSA
| | - David Wypij
- Department of BiostatisticsHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
- Department of PediatricsHarvard Medical SchoolBostonMassachusettsUSA
- Department of CardiologyBoston Children's HospitalBostonMassachusettsUSA
| | - Nina H. Thomas
- Department of Child and Adolescent Psychiatry and Behavioral Sciences and Center for Human Phenomic ScienceChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Evdokia Anagnoustou
- Department of PediatricsHolland Bloorview Kids Rehabilitation Hospital, University of TorontoTorontoOntarioCanada
| | - Martina Brueckner
- Department of GeneticsYale University School of MedicineNew HavenConnecticutUSA
- Department of PediatricsYale University School of MedicineNew HavenConnecticutUSA
| | - Wendy K. Chung
- Department of PediatricsColumbia University Medical CenterNew YorkNew YorkUSA
- Department of MedicineColumbia University Medical CenterNew YorkNew YorkUSA
| | - John Cleveland
- Department of Surgery, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of Pediatrics, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Sean Cunningham
- Division of General Pediatrics, Department of PediatricsUniversity of UtahSalt Lake CityUtahUSA
| | - Bruce D. Gelb
- Mindich Child Health and Development Institute and Department of PediatricsIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Elizabeth Goldmuntz
- Division of Cardiology, Department of PediatricsChildren's Hospital of Philadelphia, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Donald J Hagler
- Center for Multimodal Imaging and GeneticsUniversity of California San DiegoSan DiegoCaliforniaUSA
- Department of Radiology, School of MedicineUniversity of California San DiegoSan DiegoCaliforniaUSA
| | - Hao Huang
- Department of RadiologyChildren's Hospital of Philadelphia, University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Eileen King
- Department of PediatricsUniversity of CincinnatiCincinnatiOhioUSA
- Division of Biostatistics and EpidemiologyCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
| | - Patrick McQuillen
- Department of PediatricsUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Thomas A. Miller
- Department of PediatricsPrimary Children's Hospital, University of UtahSalt Lake CityUtahUSA
- Division of Pediatric CardiologyMaine Medical CenterPortlandMaineUSA
| | - Ami Norris‐Brilliant
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - George A. Porter
- Department of PediatricsUniversity of Rochester Medical CenterRochesterNew YorkUSA
| | - Amy E. Roberts
- Department of PediatricsHarvard Medical SchoolBostonMassachusettsUSA
- Department of CardiologyBoston Children's HospitalBostonMassachusettsUSA
- Division of Genetics and GenomicsBoston Children's HospitalBostonMassachusettsUSA
| | - P. Ellen Grant
- Department of PediatricsHarvard Medical SchoolBostonMassachusettsUSA
- Division of Newborn Medicine, Department of PediatricsBoston Children's HospitalBostonMassachusettsUSA
- Fetal Neonatal Neuroimaging and Developmental Science CenterBoston Children's HospitalBostonMassachusettsUSA
- Department of RadiologyBoston Children's HospitalBostonMassachusettsUSA
| | - Kiho Im
- Department of PediatricsHarvard Medical SchoolBostonMassachusettsUSA
- Division of Newborn Medicine, Department of PediatricsBoston Children's HospitalBostonMassachusettsUSA
- Fetal Neonatal Neuroimaging and Developmental Science CenterBoston Children's HospitalBostonMassachusettsUSA
| | - Sarah U. Morton
- Department of PediatricsHarvard Medical SchoolBostonMassachusettsUSA
- Division of Newborn Medicine, Department of PediatricsBoston Children's HospitalBostonMassachusettsUSA
- Fetal Neonatal Neuroimaging and Developmental Science CenterBoston Children's HospitalBostonMassachusettsUSA
| |
Collapse
|
9
|
Demirci N, Holland MA. Scaling patterns of cortical folding and thickness in early human brain development in comparison with primates. Cereb Cortex 2024; 34:bhad462. [PMID: 38271274 DOI: 10.1093/cercor/bhad462] [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: 08/25/2023] [Revised: 11/02/2023] [Accepted: 11/04/2023] [Indexed: 01/27/2024] Open
Abstract
Across mammalia, brain morphology follows specific scaling patterns. Bigger bodies have bigger brains, with surface area outpacing volume growth, resulting in increased foldedness. We have recently studied scaling rules of cortical thickness, both local and global, finding that the cortical thickness difference between thick gyri and thin sulci also increases with brain size and foldedness. Here, we investigate early brain development in humans, using subjects from the Developing Human Connectome Project, scanned shortly after pre-term or full-term birth, yielding magnetic resonance images of the brain from 29 to 43 postmenstrual weeks. While the global cortical thickness does not change significantly during this development period, its distribution does, with sulci thinning, while gyri thickening. By comparing our results with our recent work on humans and 11 non-human primate species, we also compare the trajectories of primate evolution with human development, noticing that the 2 trends are distinct for volume, surface area, cortical thickness, and gyrification index. Finally, we introduce the global shape index as a proxy for gyrification index; while correlating very strongly with gyrification index, it offers the advantage of being calculated only from local quantities without generating a convex hull or alpha surface.
Collapse
Affiliation(s)
- Nagehan Demirci
- Bioengineering Graduate Program, University of Notre Dame, Notre Dame, IN 46556, United States
| | - Maria A Holland
- Bioengineering Graduate Program, University of Notre Dame, Notre Dame, IN 46556, United States
- Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, United States
| |
Collapse
|
10
|
Abaci Turk E, Yun HJ, Feldman HA, Lee JY, Lee HJ, Bibbo C, Zhou C, Tamen R, Grant PE, Im K. Association between placental oxygen transport and fetal brain cortical development: a study in monochorionic diamniotic twins. Cereb Cortex 2024; 34:bhad383. [PMID: 37885155 PMCID: PMC11032198 DOI: 10.1093/cercor/bhad383] [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: 06/28/2023] [Revised: 09/25/2023] [Accepted: 09/26/2023] [Indexed: 10/28/2023] Open
Abstract
Normal cortical growth and the resulting folding patterns are crucial for normal brain function. Although cortical development is largely influenced by genetic factors, environmental factors in fetal life can modify the gene expression associated with brain development. As the placenta plays a vital role in shaping the fetal environment, affecting fetal growth through the exchange of oxygen and nutrients, placental oxygen transport might be one of the environmental factors that also affect early human cortical growth. In this study, we aimed to assess the placental oxygen transport during maternal hyperoxia and its impact on fetal brain development using MRI in identical twins to control for genetic and maternal factors. We enrolled 9 pregnant subjects with monochorionic diamniotic twins (30.03 ± 2.39 gestational weeks [mean ± SD]). We observed that the fetuses with slower placental oxygen delivery had reduced volumetric and surface growth of the cerebral cortex. Moreover, when the difference between placenta oxygen delivery increased between the twin pairs, sulcal folding patterns were more divergent. Thus, there is a significant relationship between placental oxygen transport and fetal brain cortical growth and folding in monochorionic twins.
Collapse
Affiliation(s)
- Esra Abaci Turk
- Department of Pediatrics, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, 401 Park Dr, Boston, MA 02115, United States
| | - Hyuk Jin Yun
- Department of Pediatrics, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, 401 Park Dr, Boston, MA 02115, United States
| | - Henry A Feldman
- Department of Pediatrics, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Institutional Centers for Clinical and Translational Research, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
| | - Joo Young Lee
- Department of Pediatrics, Hanyang University College of Medicine, 222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, South Korea
| | - Hyun Ju Lee
- Department of Pediatrics, Hanyang University College of Medicine, 222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, South Korea
| | - Carolina Bibbo
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115, United States
| | - Cindy Zhou
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, 401 Park Dr, Boston, MA 02115, United States
| | - Rubii Tamen
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, 401 Park Dr, Boston, MA 02115, United States
| | - Patricia Ellen Grant
- Department of Pediatrics, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, 401 Park Dr, Boston, MA 02115, United States
- Department of Radiology, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
| | - Kiho Im
- Department of Pediatrics, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, 401 Park Dr, Boston, MA 02115, United States
| |
Collapse
|
11
|
Snyder WE, Vértes PE, Kyriakopoulou V, Wagstyl K, Williams LZJ, Moraczewski D, Thomas AG, Karolis VR, Seidlitz J, Rivière D, Robinson EC, Mangin JF, Raznahan A, Bullmore ET. A bipolar taxonomy of adult human brain sulcal morphology related to timing of fetal sulcation and trans-sulcal gene expression gradients. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.19.572454. [PMID: 38168226 PMCID: PMC10760196 DOI: 10.1101/2023.12.19.572454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
We developed a computational pipeline (now provided as a resource) for measuring morphological similarity between cortical surface sulci to construct a sulcal phenotype network (SPN) from each magnetic resonance imaging (MRI) scan in an adult cohort (N=34,725; 45-82 years). Networks estimated from pairwise similarities of 40 sulci on 5 morphological metrics comprised two clusters of sulci, represented also by the bipolar distribution of sulci on a linear-to-complex dimension. Linear sulci were more heritable and typically located in unimodal cortex; complex sulci were less heritable and typically located in heteromodal cortex. Aligning these results with an independent fetal brain MRI cohort (N=228; 21-36 gestational weeks), we found that linear sulci formed earlier, and the earliest and latest-forming sulci had the least between-adult variation. Using high-resolution maps of cortical gene expression, we found that linear sulcation is mechanistically underpinned by trans-sulcal gene expression gradients enriched for developmental processes.
Collapse
Affiliation(s)
- William E Snyder
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Petra E Vértes
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Vanessa Kyriakopoulou
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Science, King's College London, London, UK
| | - Konrad Wagstyl
- Wellcome Centre for Human Neuroimaging, University College London, London, UK
| | - Logan Z J Williams
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Science, King's College London, London, UK
| | - Dustin Moraczewski
- Data Science and Sharing Team, National Institute of Mental Health, Bethesda, Maryland, USA
| | - Adam G Thomas
- Data Science and Sharing Team, National Institute of Mental Health, Bethesda, Maryland, USA
| | - Vyacheslav R Karolis
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Jakob Seidlitz
- Lifespan Brain Institute, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Denis Rivière
- Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette, 91191, France
| | - Emma C Robinson
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Science, King's College London, London, UK
| | - Jean-Francois Mangin
- Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette, 91191, France
| | - Armin Raznahan
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Edward T Bullmore
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, UK
| |
Collapse
|
12
|
Willbrand EH, Bunge SA, Weiner KS. Neuroanatomical and Functional Dissociations between Variably Present Anterior Lateral Prefrontal Sulci. J Cogn Neurosci 2023; 35:1846-1867. [PMID: 37677051 PMCID: PMC10586811 DOI: 10.1162/jocn_a_02049] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/09/2023]
Abstract
The lateral prefrontal cortex (LPFC) is an evolutionarily expanded region in humans that is critical for numerous complex functions, many of which are largely hominoid specific. Although recent work shows that the presence or absence of specific sulci in anterior LPFC is associated with cognitive performance across age groups, it is unknown whether the presence of these structures relates to individual differences in the functional organization of LPFC. To fill this gap in knowledge, we leveraged multimodal neuroimaging data from two samples encompassing 82 young adult humans (aged 22-36 years) and show that the dorsal and ventral components of the paraintermediate frontal sulcus, or pimfs, present distinct morphological (surface area), architectural (thickness and myelination), and functional (resting-state connectivity networks) properties. We further contextualize the pimfs components within classic and modern cortical parcellations. Taken together, the dorsal and ventral pimfs components mark transitions in LPFC anatomy and function, across metrics and parcellations. These results emphasize that the pimfs is a critical structure to consider when examining individual differences in the anatomical and functional organization of LPFC and suggest that future individual-level parcellations could benefit from incorporating sulcal anatomy when delineating LPFC cortical regions.
Collapse
|
13
|
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.
Collapse
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
| |
Collapse
|
14
|
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.
Collapse
|
15
|
Chavoshnejad P, Vallejo L, Zhang S, Guo Y, Dai W, Zhang T, Razavi MJ. Mechanical hierarchy in the formation and modulation of cortical folding patterns. Sci Rep 2023; 13:13177. [PMID: 37580340 PMCID: PMC10425471 DOI: 10.1038/s41598-023-40086-9] [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: 03/14/2023] [Accepted: 08/04/2023] [Indexed: 08/16/2023] Open
Abstract
The important mechanical parameters and their hierarchy in the growth and folding of the human brain have not been thoroughly understood. In this study, we developed a multiscale mechanical model to investigate how the interplay between initial geometrical undulations, differential tangential growth in the cortical plate, and axonal connectivity form and regulate the folding patterns of the human brain in a hierarchical order. To do so, different growth scenarios with bilayer spherical models that features initial undulations on the cortex and uniform or heterogeneous distribution of axonal fibers in the white matter were developed, statistically analyzed, and validated by the imaging observations. The results showed that the differential tangential growth is the inducer of cortical folding, and in a hierarchal order, high-amplitude initial undulations on the surface and axonal fibers in the substrate regulate the folding patterns and determine the location of gyri and sulci. The locations with dense axonal fibers after folding settle in gyri rather than sulci. The statistical results also indicated that there is a strong correlation between the location of positive (outward) and negative (inward) initial undulations and the locations of gyri and sulci after folding, respectively. In addition, the locations of 3-hinge gyral folds are strongly correlated with the initial positive undulations and locations of dense axonal fibers. As another finding, it was revealed that there is a correlation between the density of axonal fibers and local gyrification index, which has been observed in imaging studies but not yet fundamentally explained. This study is the first step in understanding the linkage between abnormal gyrification (surface morphology) and disruption in connectivity that has been observed in some brain disorders such as Autism Spectrum Disorder. Moreover, the findings of the study directly contribute to the concept of the regularity and variability of folding patterns in individual human brains.
Collapse
Affiliation(s)
- Poorya Chavoshnejad
- Department of Mechanical Engineering, Binghamton University, Binghamton, NY, 13902, USA
| | - Liam Vallejo
- Department of Mechanical Engineering, Binghamton University, Binghamton, NY, 13902, USA
| | - Songyao Zhang
- Brain Decoding Research Center and School of Automation, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China
| | - Yanchen Guo
- Department of Computer Science, Binghamton University, Binghamton, NY, USA
| | - Weiying Dai
- Department of Computer Science, Binghamton University, Binghamton, NY, USA
| | - Tuo Zhang
- Brain Decoding Research Center and School of Automation, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China
| | - Mir Jalil Razavi
- Department of Mechanical Engineering, Binghamton University, Binghamton, NY, 13902, USA.
| |
Collapse
|
16
|
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.
Collapse
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
| |
Collapse
|
17
|
Amiez C, Sallet J, Giacometti C, Verstraete C, Gandaux C, Morel-Latour V, Meguerditchian A, Hadj-Bouziane F, Ben Hamed S, Hopkins WD, Procyk E, Wilson CRE, Petrides M. A revised perspective on the evolution of the lateral frontal cortex in primates. SCIENCE ADVANCES 2023; 9:eadf9445. [PMID: 37205762 DOI: 10.1126/sciadv.adf9445] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 04/14/2023] [Indexed: 05/21/2023]
Abstract
Detailed neuroscientific data from macaque monkeys have been essential in advancing understanding of human frontal cortex function, particularly for regions of frontal cortex without homologs in other model species. However, precise transfer of this knowledge for direct use in human applications requires an understanding of monkey to hominid homologies, particularly whether and how sulci and cytoarchitectonic regions in the frontal cortex of macaques relate to those in hominids. We combine sulcal pattern analysis with resting-state functional magnetic resonance imaging and cytoarchitectonic analysis to show that old-world monkey brains have the same principles of organization as hominid brains, with the notable exception of sulci in the frontopolar cortex. This essential comparative framework provides insights into primate brain evolution and a key tool to drive translation from invasive research in monkeys to human applications.
Collapse
Affiliation(s)
- Céline Amiez
- Univ Lyon, Université Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500 Bron, France
| | - Jérôme Sallet
- Univ Lyon, Université Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500 Bron, France
- Wellcome Integrative Neuroimaging Centre, Department of Experimental Psychology, University of Oxford, Oxford OX1 3SR, UK
| | - Camille Giacometti
- Univ Lyon, Université Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500 Bron, France
| | - Charles Verstraete
- Univ Lyon, Université Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500 Bron, France
| | - Clémence Gandaux
- Univ Lyon, Université Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500 Bron, France
| | - Valentine Morel-Latour
- Univ Lyon, Université Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500 Bron, France
| | - Adrien Meguerditchian
- Laboratoire de Psychologie Cognitive, UMR7290, Université Aix-Marseille, CNRS, 13331 Marseille, France
- Station de Primatologie CNRS, UPS846, 13790 Rousset, France
- Brain and Language Research Institute, Université Aix-Marseille, CNRS, 13604 Aix-en-Provence, France
| | - Fadila Hadj-Bouziane
- Integrative Multisensory Perception Action and Cognition Team (ImpAct), INSERM U1028, CNRS UMR5292, Lyon Neuroscience Research Center (CRNL), Lyon, France; University of Lyon 1, Lyon, France
| | - Suliann Ben Hamed
- Institut des Sciences Cognitives Marc Jeannerod, UMR5229, CNRS-Université Claude Bernard Lyon I, Bron, France
| | - William D Hopkins
- Department of Comparative Medicine, University of Texas MD Anderson Cancer Center, Bastrop, TX, 78602, USA
| | - Emmanuel Procyk
- Univ Lyon, Université Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500 Bron, France
| | - Charles R E Wilson
- Univ Lyon, Université Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500 Bron, France
| | - Michael Petrides
- Department of Neurology and Neurosurgery and Department of Psychology, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| |
Collapse
|
18
|
Hathaway CB, Voorhies WI, Sathishkumar N, Mittal C, Yao JK, Miller JA, Parker BJ, Weiner KS. Defining putative tertiary sulci in lateral prefrontal cortex in chimpanzees using human predictions. Brain Struct Funct 2023:10.1007/s00429-023-02638-7. [PMID: 37195311 DOI: 10.1007/s00429-023-02638-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 03/05/2023] [Indexed: 05/18/2023]
Abstract
Similarities and differences in brain structure and function across species are of major interest in systems neuroscience, comparative biology, and brain mapping. Recently, increased emphasis has been placed on tertiary sulci, which are shallow indentations of the cerebral cortex that appear last in gestation, continue to develop after birth, and are largely either human or hominoid specific. While tertiary sulcal morphology in lateral prefrontal cortex (LPFC) has been linked to functional representations and cognition in humans, it is presently unknown if small and shallow LPFC sulci also exist in non-human hominoids. To fill this gap in knowledge, we leveraged two freely available multimodal datasets to address the following main question: Can small and shallow LPFC sulci be defined in chimpanzee cortical surfaces from human predictions of LPFC tertiary sulci? We found that 1-3 components of the posterior middle frontal sulcus (pmfs) in the posterior middle frontal gyrus are identifiable in nearly all chimpanzee hemispheres. In stark contrast to the consistency of the pmfs components, we could only identify components of the paraintermediate frontal sulcus (pimfs) in two chimpanzee hemispheres. Putative LPFC tertiary sulci were relatively smaller and shallower in chimpanzees compared to humans. In both species, two of the pmfs components were deeper in the right compared to the left hemisphere. As these results have direct implications for future studies interested in the functional and cognitive role of LPFC tertiary sulci, we share probabilistic predictions of the three pmfs components to guide the definitions of these sulci in future studies.
Collapse
Affiliation(s)
| | - Willa I Voorhies
- Department of Psychology, University of California, Berkeley, Berkeley, CA, 94720, USA
| | - Neha Sathishkumar
- Cognitive Science, University of California, Berkeley, Berkeley, CA, 94720, USA
| | - Chahat Mittal
- Department of Psychology, University of California, Berkeley, Berkeley, CA, 94720, USA
| | - Jewelia K Yao
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, 08540, USA
| | - Jacob A Miller
- Wu Tsai Institute for Neuroscience, Yale University, New Haven, CT, 06510, USA
| | - Benjamin J Parker
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, 94720, USA
| | - Kevin S Weiner
- Department of Psychology, University of California, Berkeley, Berkeley, CA, 94720, USA.
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, 94720, USA.
| |
Collapse
|
19
|
de Vareilles H, Rivière D, Mangin JF, Dubois J. Development of cortical folds in the human brain: An attempt to review biological hypotheses, early neuroimaging investigations and functional correlates. Dev Cogn Neurosci 2023; 61:101249. [PMID: 37141790 DOI: 10.1016/j.dcn.2023.101249] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 03/28/2023] [Accepted: 04/21/2023] [Indexed: 05/06/2023] Open
Abstract
The folding of the human brain mostly takes place in utero, making it challenging to study. After a few pioneer studies looking into it in post-mortem foetal specimen, modern approaches based on neuroimaging have allowed the community to investigate the folding process in vivo, its normal progression, its early disturbances, and its relationship to later functional outcomes. In this review article, we aimed to first give an overview of the current hypotheses on the mechanisms governing cortical folding. After describing the methodological difficulties raised by its study in fetuses, neonates and infants with magnetic resonance imaging (MRI), we reported our current understanding of sulcal pattern emergence in the developing brain. We then highlighted the functional relevance of early sulcal development, through recent insights about hemispheric asymmetries and early factors influencing this dynamic such as prematurity. Finally, we outlined how longitudinal studies have started to relate early folding markers and the child's sensorimotor and cognitive outcome. Through this review, we hope to raise awareness on the potential of studying early sulcal patterns both from a fundamental and clinical perspective, as a window into early neurodevelopment and plasticity in relation to growth in utero and postnatal environment of the child.
Collapse
Affiliation(s)
- H de Vareilles
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, CNRS, Gif-sur-Yvette, France.
| | - D Rivière
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, CNRS, Gif-sur-Yvette, France
| | - J F Mangin
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, CNRS, Gif-sur-Yvette, France
| | - J Dubois
- Université Paris Cité, NeuroDiderot, Inserm, Paris, France; Université Paris-Saclay, NeuroSpin-UNIACT, CEA, Gif-sur-Yvette, France
| |
Collapse
|
20
|
Willbrand EH, Ferrer E, Bunge SA, Weiner KS. Development of Human Lateral Prefrontal Sulcal Morphology and Its Relation to Reasoning Performance. J Neurosci 2023; 43:2552-2567. [PMID: 36828638 PMCID: PMC10082454 DOI: 10.1523/jneurosci.1745-22.2023] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 01/25/2023] [Accepted: 02/01/2023] [Indexed: 02/26/2023] Open
Abstract
Previous findings show that the morphology of folds (sulci) of the human cerebral cortex flatten during postnatal development. However, previous studies did not consider the relationship between sulcal morphology and cognitive development in individual participants. Here, we fill this gap in knowledge by leveraging cross-sectional morphologic neuroimaging data in the lateral PFC (LPFC) from individual human participants (6-36 years old, males and females; N = 108; 3672 sulci), as well as longitudinal morphologic and behavioral data from a subset of child and adolescent participants scanned at two time points (6-18 years old; N = 44; 2992 sulci). Manually defining thousands of sulci revealed that LPFC sulcal morphology (depth, surface area, and gray matter thickness) differed between children (6-11 years old)/adolescents (11-18 years old) and young adults (22-36 years old) cross-sectionally, but only cortical thickness showed differences across childhood and adolescence and presented longitudinal changes during childhood and adolescence. Furthermore, a data-driven approach relating morphology and cognition identified that longitudinal changes in cortical thickness of four left-hemisphere LPFC sulci predicted longitudinal changes in reasoning performance, a higher-level cognitive ability that relies on LPFC. Contrary to previous findings, these results suggest that sulci may flatten either after this time frame or over a longer longitudinal period of time than previously presented. Crucially, these results also suggest that longitudinal changes in the cortex within specific LPFC sulci are behaviorally meaningful, providing targeted structures, and areas of the cortex, for future neuroimaging studies examining the development of cognitive abilities.SIGNIFICANCE STATEMENT Recent work has shown that individual differences in neuroanatomical structures (indentations, or sulci) within the lateral PFC are behaviorally meaningful during childhood and adolescence. Here, we describe how specific lateral PFC sulci develop at the level of individual participants for the first time: from both cross-sectional and longitudinal perspectives. Further, we show, also for the first time, that the longitudinal morphologic changes in these structures are behaviorally relevant. These findings lay the foundation for a future avenue to precisely study the development of the cortex and highlight the importance of studying the development of sulci in other cortical expanses and charting how these changes relate to the cognitive abilities those areas support at the level of individual participants.
Collapse
Affiliation(s)
- Ethan H Willbrand
- Department of Psychology
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
| | - Emilio Ferrer
- Department of Psychology
- Center for Mind and Brain, University of California-Davis, Davis, California 95616
| | - Silvia A Bunge
- Department of Psychology
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
| | - Kevin S Weiner
- Department of Psychology
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
| |
Collapse
|
21
|
Lefrere A, Auzias G, Favre P, Kaltenmark I, Houenou J, Piguet C, Polosan M, Eyler LT, Phillips ML, Versace A, Wessa M, McDonald C, Cannon DM, Brambilla P, Bellani M, Deruelle C, Belzeaux R. Global and local cortical folding alterations are associated with neurodevelopmental subtype in bipolar disorders: a sulcal pits analysis. J Affect Disord 2023; 325:224-230. [PMID: 36608853 DOI: 10.1016/j.jad.2022.12.156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 11/10/2022] [Accepted: 12/31/2022] [Indexed: 01/05/2023]
Abstract
BACKGROUND Analyzing cortical folding may provide insight into the biological underpinnings of neurodevelopmental diseases. A neurodevelopmental subtype of bipolar disorders (BD-ND) has been characterized by the combination of early age of onset and psychotic features. We investigate potential cortical morphology differences associated with this subtype. We analyze, for the first time in bipolar disorders, the sulcal pits, the deepest points in each fold of the cerebral cortex. METHODS We extracted the sulcal pits from anatomical MRI among 512 participants gathered from 7 scanning sites. We compared the number of sulcal pits in each hemisphere as well as their regional occurrence and depth between the BD-ND subgroup (N = 184), a subgroup without neurodevelopmental features (BD, N = 77) and a group of healthy controls (HC, N = 251). RESULTS In whole brain analysis, BD-ND group have a higher number of sulcal pits in comparison to the BD group. The local analysis revealed, after correction for multiple testing, a higher occurrence of sulcal pits in the left premotor cortex among the BD-ND subgroup compared to the BD and the HC groups. CONCLUSION Our findings confirm that BD-ND is associated with a specific brain morphology revealed by the analysis of sulcal pits. These markers may help to better understand neurodevelopment in mood disorder and stratify patients according to a pathophysiological hypothesis.
Collapse
Affiliation(s)
- Antoine Lefrere
- Department of Psychiatry Sainte Marguerite Hospital, Assistance Publique Hôpitaux de Marseille, 13009 Marseille, France; Institut de Neurosciences de la Timone UMR 7289, Aix-Marseille Université & CNRS, Marseille, France; Fondation Fondamental, Créteil, France
| | - Guillaume Auzias
- Institut de Neurosciences de la Timone UMR 7289, Aix-Marseille Université & CNRS, Marseille, France
| | - Pauline Favre
- Fondation Fondamental, Créteil, France; Paris Saclay University, UNIACT, Eq. Psychiatry, NeuroSpin, CEA Saclay, Gif-sur-Yvette, France; Paris Est University, INSERM U955, Eq. Neuropsychiatrie Translationnelle, Assistance Publique Hôpitaux de Paris, Hôpitaux Universitaires Mondor, DMU IMPACT de Psychiatrie et d'Addictologie, Créteil, France
| | | | - Josselin Houenou
- Fondation Fondamental, Créteil, France; Paris Saclay University, UNIACT, Eq. Psychiatry, NeuroSpin, CEA Saclay, Gif-sur-Yvette, France; Paris Est University, INSERM U955, Eq. Neuropsychiatrie Translationnelle, Assistance Publique Hôpitaux de Paris, Hôpitaux Universitaires Mondor, DMU IMPACT de Psychiatrie et d'Addictologie, Créteil, France
| | - Camille Piguet
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Switzerland
| | - Mircea Polosan
- Grenoble Alpes University, Inserm U1216 Grenoble Institute of Neuroscience, CHU Grenoble Alpes, Grenoble, France
| | - Lisa T Eyler
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Amelia Versace
- University of Pittsburgh Medical Center, University of Pittsburgh
| | - Michèle Wessa
- Department of Clinical Psychology and Neuropsychology, Johannes Gutenberg University, Mainz, Germany
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, University of Galway, H91 TK33, Galway, Ireland
| | - Dara M Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, University of Galway, H91 TK33, Galway, Ireland
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Marcella Bellani
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Italy; UOC of Psychiatry, Azienda Ospedaliera Universitaria Integrata (AOUI) of Verona, Italy
| | - Christine Deruelle
- Institut de Neurosciences de la Timone UMR 7289, Aix-Marseille Université & CNRS, Marseille, France
| | - Raoul Belzeaux
- Institut de Neurosciences de la Timone UMR 7289, Aix-Marseille Université & CNRS, Marseille, France; Fondation Fondamental, Créteil, France; Pôle Universitaire de Psychiatrie, CHU de Montpellier, France.
| |
Collapse
|
22
|
Bartha-Doering L, Kollndorfer K, Schwartz E, Fischmeister FP, Langs G, Weber M, Lackner-Schmelz S, Kienast P, Stümpflen M, Taymourtash A, Mandl S, Alexopoulos J, Prayer D, Seidl R, Kasprian G. Fetal temporal sulcus depth asymmetry has prognostic value for language development. Commun Biol 2023; 6:109. [PMID: 36707693 PMCID: PMC9883513 DOI: 10.1038/s42003-023-04503-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 01/18/2023] [Indexed: 01/28/2023] Open
Abstract
In most humans, the superior temporal sulcus (STS) shows a rightward depth asymmetry. This asymmetry can not only be observed in adults, but is already recognizable in the fetal brain. As the STS lies adjacent to brain areas important for language, STS depth asymmetry may represent an anatomical marker for language abilities. This study investigated the prognostic value of STS depth asymmetry in healthy fetuses for later language abilities, language localization, and language-related white matter tracts. Less right lateralization of the fetal STS depth was significantly associated with better verbal abilities, with fetal STS depth asymmetry explaining more than 40% of variance in verbal skills 6-13 years later. Furthermore, less right fetal STS depth asymmetry correlated with increased left language localization during childhood. We hypothesize that earlier and/or more localized fetal development of the left temporal cortex is accompanied by an earlier development of the left STS and is favorable for early language learning. If the findings of this pilot study hold true in larger samples of healthy children and in different clinical populations, fetal STS asymmetry has the potential to become a diagnostic biomarker of the maturity and integrity of neural correlates of language.
Collapse
Affiliation(s)
- Lisa Bartha-Doering
- grid.22937.3d0000 0000 9259 8492Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria
| | - Kathrin Kollndorfer
- grid.22937.3d0000 0000 9259 8492Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria ,grid.22937.3d0000 0000 9259 8492Division of Neuroradiology and Muscoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Ernst Schwartz
- grid.22937.3d0000 0000 9259 8492Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Florian Ph.S. Fischmeister
- grid.22937.3d0000 0000 9259 8492Division of Neuroradiology and Muscoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria ,grid.5110.50000000121539003Institute of Psychology, University of Graz, Graz, Austria ,grid.452216.6BioTechMed-Graz, Graz, Austria
| | - Georg Langs
- grid.22937.3d0000 0000 9259 8492Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Michael Weber
- grid.22937.3d0000 0000 9259 8492Division of Neuroradiology and Muscoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Sonja Lackner-Schmelz
- grid.22937.3d0000 0000 9259 8492Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria ,grid.22937.3d0000 0000 9259 8492Division of Neuroradiology and Muscoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Patric Kienast
- grid.22937.3d0000 0000 9259 8492Division of Neuroradiology and Muscoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Marlene Stümpflen
- grid.22937.3d0000 0000 9259 8492Division of Neuroradiology and Muscoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Athena Taymourtash
- grid.22937.3d0000 0000 9259 8492Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Sophie Mandl
- grid.22937.3d0000 0000 9259 8492Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria
| | - Johanna Alexopoulos
- grid.22937.3d0000 0000 9259 8492Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria ,grid.22937.3d0000 0000 9259 8492Department of Psychoanalysis and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Daniela Prayer
- grid.22937.3d0000 0000 9259 8492Division of Neuroradiology and Muscoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Rainer Seidl
- grid.22937.3d0000 0000 9259 8492Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria
| | - Gregor Kasprian
- grid.22937.3d0000 0000 9259 8492Division of Neuroradiology and Muscoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| |
Collapse
|
23
|
Zhu Z, Huang T, Zhen Z, Wang B, Wu X, Li S. From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping. Med Image Anal 2023; 83:102681. [PMID: 36459804 DOI: 10.1016/j.media.2022.102681] [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: 10/30/2021] [Revised: 07/28/2022] [Accepted: 11/02/2022] [Indexed: 11/09/2022]
Abstract
Achieving predictions of brain functional activation patterns/task-fMRI maps from its underlying anatomy is an important yet challenging problem. Once successful, it will not only open up new ways to understand how brain anatomy influences functional organization of the brain, but also provide new technical support for the clinical use of anatomical information to guide the localization of cortical functional areas. However, due to the non-Euclidean complex architecture of brain anatomy and the inherent low signal-to-noise ratio (SNR) properties of fMRI signals, the key challenge in building such a cross-modal brain anatomo-functional mapping is how to effectively learn the context-aware information of brain anatomy and overcome the interference of noise-containing task-fMRI labels on the learning process. In this work, we propose a Unified Geometric Deep Learning framework (BrainUGDL) to perform the cross-modal brain anatomo-functional mapping task. Considering that both global and local structures of brain anatomy have an impact on brain functions from their respective perspectives, we innovatively propose the novel Global Graph Encoding (GGE) unit and Local Graph Attention (LGA) unit embedded into two parallel branches, focusing on learning the high-level global and local context information, respectively. Specifically, GGE learns the global context information of each mesh vertex by building and encoding global interactions, and LGA learns the local context information of each mesh vertex by selectively aggregating patch structure enhanced features from its spatial neighbors. The information learnt from the two branches is then fused to form a comprehensive representation of brain anatomical features for final brain function predictions. To address the inevitable measurement noise in task-fMRI labels, we further elaborate a novel uncertainty-filtered learning mechanism, which enables BrainUGDL to realize revised learning from the noise-containing labels through the estimated uncertainty. Experiments across seven open task-fMRI datasets from human connectome project (HCP) demonstrate the superiority of BrainUGDL. To our best knowledge, our proposed BrainUGDL is the first to achieve the prediction of individual task-fMRI maps solely based on brain sMRI data.
Collapse
Affiliation(s)
- Zhiyuan Zhu
- School of Artificial Intelligence, Beijing Normal University, Beijing, China; Engineering Research Center of Intelligent Technology and Educational Application (Beijing Normal University), Ministry of Education, Beijing, China
| | - Taicheng Huang
- Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Zonglei Zhen
- Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Boyu Wang
- Department of Computer Science, Western University, ON, Canada
| | - Xia Wu
- School of Artificial Intelligence, Beijing Normal University, Beijing, China; Engineering Research Center of Intelligent Technology and Educational Application (Beijing Normal University), Ministry of Education, Beijing, China.
| | - Shuo Li
- Department of Computer and Data Science, Case Western Reserve University, Ohio, USA; Department of Biomedical Engineering, Case Western Reserve University, Ohio, USA
| |
Collapse
|
24
|
Yun HJ, Lee HJ, Lee JY, Tarui T, Rollins CK, Ortinau CM, Feldman HA, Grant PE, Im K. Quantification of sulcal emergence timing and its variability in early fetal life: Hemispheric asymmetry and sex difference. Neuroimage 2022; 263:119629. [PMID: 36115591 PMCID: PMC10011016 DOI: 10.1016/j.neuroimage.2022.119629] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 08/07/2022] [Accepted: 09/12/2022] [Indexed: 12/25/2022] Open
Abstract
Human fetal brains show regionally different temporal patterns of sulcal emergence following a regular timeline, which may be associated with spatiotemporal patterns of gene expression among cortical regions. This study aims to quantify the timing of sulcal emergence and its temporal variability across typically developing fetuses by fitting a logistic curve to presence or absence of sulcus. We found that the sulcal emergence started from the central to the temporo-parieto-occipital lobes and frontal lobe, and the temporal variability of emergence in most of the sulci was similar between 1 and 2 weeks. Small variability (< 1 week) was found in the left central and postcentral sulci and larger variability (>2 weeks) was shown in the bilateral occipitotemporal and left superior temporal sulci. The temporal variability showed a positive correlation with the emergence timing that may be associated with differential contributions between genetic and environmental factors. Our statistical analysis revealed that the right superior temporal sulcus emerged earlier than the left. Female fetuses showed a trend of earlier sulcal emergence in the right superior temporal sulcus, lower temporal variability in the right intraparietal sulcus, and higher variability in the right precentral sulcus compared to male fetuses. Our quantitative and statistical approach quantified the temporal patterns of sulcal emergence in detail that can be a reference for assessing the normality of developing fetal gyrification.
Collapse
Affiliation(s)
- Hyuk Jin Yun
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States; Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Hyun Ju Lee
- Department of Pediatrics, Hanyang University College of Medicine, Seoul 04763, Korea (the Republic of)
| | - Joo Young Lee
- Department of Pediatrics, Hanyang University College of Medicine, Seoul 04763, Korea (the Republic of)
| | - Tomo Tarui
- Mother Infant Research Institute, Tufts Medical Center, Boston, MA 02115, United States
| | - Caitlin K Rollins
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Cynthia M Ortinau
- Department of Pediatrics, Washington University in St. Louis, St. Louis, MO 63130, United States
| | - Henry A Feldman
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States; Institutional Centers for Clinical and Translational Research, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - P Ellen Grant
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States; Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States; Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Kiho Im
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States; Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States.
| |
Collapse
|
25
|
Bruner E. A network approach to the topological organization of the Brodmann map. Anat Rec (Hoboken) 2022; 305:3504-3515. [PMID: 35485307 DOI: 10.1002/ar.24941] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 03/30/2022] [Accepted: 04/11/2022] [Indexed: 11/07/2022]
Abstract
Brain morphology is the result of functional factors associated with cortical areas, but it is also influenced by structural aspects due to physical and spatial constraints. Despite the noticeable advances in brain mapping, Brodmann's map is still used in many research fields that rely on macroscopic cortical features for practical or theoretical issues. Here, the topological relationships among the Brodmann areas were modelled according to the principles of network analysis, in order to provide a synthetic view of their spatial properties following a criterion of contiguity. The model evidences the importance of the parieto-temporal region in terms of biological burden and topological complexity. The retrosplenial region is particularly influenced by spatial constraints, and the cingulate cortex occupies a position that bridges the anterior and posterior topological blocks. Such spatial framework should be taken into account when dealing with brain morphology in both ontogeny and phylogeny. This article is protected by copyright. All rights reserved.
Collapse
Affiliation(s)
- Emiliano Bruner
- Centro Nacional de Investigación sobre la Evolución Humana, Burgos, Spain
| |
Collapse
|
26
|
Demirci N, Holland MA. Cortical thickness systematically varies with curvature and depth in healthy human brains. Hum Brain Mapp 2022; 43:2064-2084. [PMID: 35098606 PMCID: PMC8933257 DOI: 10.1002/hbm.25776] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 11/30/2021] [Accepted: 01/05/2022] [Indexed: 12/30/2022] Open
Abstract
Cortical thickness varies throughout the cortex in a systematic way. However, it is challenging to investigate the patterns of cortical thickness due to the intricate geometry of the cortex. The cortex has a folded nature both in radial and tangential directions which forms not only gyri and sulci but also tangential folds and intersections. In this article, cortical curvature and depth are used to characterize the spatial distribution of the cortical thickness with much higher resolution than conventional regional atlases. To do this, a computational pipeline was developed that is capable of calculating a variety of quantitative measures such as surface area, cortical thickness, curvature (mean curvature, Gaussian curvature, shape index, intrinsic curvature index, and folding index), and sulcal depth. By analyzing 501 neurotypical adult human subjects from the ABIDE-I dataset, we show that cortex has a very organized structure and cortical thickness is strongly correlated with local shape. Our results indicate that cortical thickness consistently increases along the gyral-sulcal spectrum from concave to convex shape, encompassing the saddle shape along the way. Additionally, tangential folds influence cortical thickness in a similar way as gyral and sulcal folds; outer folds are consistently thicker than inner.
Collapse
Affiliation(s)
- Nagehan Demirci
- Bioengineering Graduate ProgramUniversity of Notre DameNotre DameIndianaUSA
| | - Maria A. Holland
- Bioengineering Graduate ProgramUniversity of Notre DameNotre DameIndianaUSA
- Department of Aerospace and Mechanical EngineeringUniversity of Notre DameNotre DameIndianaUSA
| |
Collapse
|
27
|
Shiohama T, Tsujimura K. Quantitative Structural Brain Magnetic Resonance Imaging Analyses: Methodological Overview and Application to Rett Syndrome. Front Neurosci 2022; 16:835964. [PMID: 35450016 PMCID: PMC9016334 DOI: 10.3389/fnins.2022.835964] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 03/14/2022] [Indexed: 11/13/2022] Open
Abstract
Congenital genetic disorders often present with neurological manifestations such as neurodevelopmental disorders, motor developmental retardation, epilepsy, and involuntary movement. Through qualitative morphometric evaluation of neuroimaging studies, remarkable structural abnormalities, such as lissencephaly, polymicrogyria, white matter lesions, and cortical tubers, have been identified in these disorders, while no structural abnormalities were identified in clinical settings in a large population. Recent advances in data analysis programs have led to significant progress in the quantitative analysis of anatomical structural magnetic resonance imaging (MRI) and diffusion-weighted MRI tractography, and these approaches have been used to investigate psychological and congenital genetic disorders. Evaluation of morphometric brain characteristics may contribute to the identification of neuroimaging biomarkers for early diagnosis and response evaluation in patients with congenital genetic diseases. This mini-review focuses on the methodologies and attempts employed to study Rett syndrome using quantitative structural brain MRI analyses, including voxel- and surface-based morphometry and diffusion-weighted MRI tractography. The mini-review aims to deepen our understanding of how neuroimaging studies are used to examine congenital genetic disorders.
Collapse
Affiliation(s)
- Tadashi Shiohama
- Department of Pediatrics, Chiba University Hospital, Chiba, Japan
- *Correspondence: Tadashi Shiohama,
| | - Keita Tsujimura
- Group of Brain Function and Development, Nagoya University Neuroscience Institute of the Graduate School of Science, Nagoya, Japan
- Research Unit for Developmental Disorders, Institute for Advanced Research, Nagoya University, Nagoya, Japan
- Department of Radiology, Harvard Medical School, Boston, MA, United States
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| |
Collapse
|
28
|
Li X, Zhang S, Jiang X, Zhang S, Han J, Guo L, Zhang T. Cortical development coupling between surface area and sulcal depth on macaque brains. Brain Struct Funct 2022; 227:1013-1029. [PMID: 34989870 DOI: 10.1007/s00429-021-02444-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 12/15/2021] [Indexed: 02/06/2023]
Abstract
Postnatal development of cerebral cortex is associated with a variety of neuronal processes and is thus critical to development of brain function and cognition. Longitudinal changes of cortical morphology and topology, such as postnatal cortical thinning and flattening have been widely studied. However, thorough and systematic investigation of such cortical change, including how to quantify it from multiple spatial directions and how to relate it to surface topology, is rarely found. In this work, based on a longitudinal macaque neuroimaging dataset, we quantified local changes in gyral white matter's surface area and sulcal depth during early development. We also investigated how these two metrics are coupled and how this coupling is linked to cortical surface topology, underlying white matter, and positions of functional areas. Semi-parametric generalized additive models were adopted to quantify the longitudinal changes of surface area (A) and sulcal depth (D), and the coupling patterns between them. This resulted in four classes of regions, according to how they change compared with global change throughout early development: slower surface area change and slower sulcal depth change (slowA_slowD), slower surface area change and faster sulcal depth change (slowA_fastD), faster surface area change and slower sulcal depth change (fastA_slowD), and faster surface area change and faster sulcal depth change (fastA_fastD). We found that cortex-related metrics, including folding pattern and cortical thickness, vary along slowA_fastD-fastA_slowD axis, and structural connection-related metrics vary along fastA_fastD-slowA_slowD axis, with which brain functional sites align better. It is also found that cortical landmarks, including sulcal pits and gyral hinges, spatially reside on the borders of the four patterns. These findings shed new lights on the relationship between cortex development, surface topology, axonal wiring pattern and brain functions.
Collapse
Affiliation(s)
- Xiao Li
- School of Automation, Northwestern Polytechnical University, Xi'an, China
| | - Songyao Zhang
- School of Automation, Northwestern Polytechnical University, Xi'an, China
| | - Xi Jiang
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Shu Zhang
- School of Computer Science, Northwestern Polytechnical University, Xi'an, China
| | - Junwei Han
- School of Automation, Northwestern Polytechnical University, Xi'an, China
| | - Lei Guo
- School of Automation, Northwestern Polytechnical University, Xi'an, China
| | - Tuo Zhang
- School of Automation, Northwestern Polytechnical University, Xi'an, China.
| |
Collapse
|
29
|
de Vareilles H, Rivière D, Sun Z, Fischer C, Leroy F, Neumane S, Stopar N, Eijsermans R, Ballu M, Tataranno ML, Benders M, Mangin JF, Dubois J. Shape variability of the central sulcus in the developing brain: a longitudinal descriptive and predictive study in preterm infants. Neuroimage 2021; 251:118837. [PMID: 34965455 DOI: 10.1016/j.neuroimage.2021.118837] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 11/17/2021] [Accepted: 12/18/2021] [Indexed: 02/04/2023] Open
Abstract
Despite growing evidence of links between sulcation and function in the adult brain, the folding dynamics, occurring mostly before normal-term-birth, is vastly unknown. Looking into the development of cortical sulci in infants can give us keys to address fundamental questions: what is the sulcal shape variability in the developing brain? When are the shape features encoded? How are these morphological parameters related to further functional development? In this study, we aimed to investigate the shape variability of the developing central sulcus, which is the frontier between the primary somatosensory and motor cortices. We studied a cohort of 71 extremely preterm infants scanned twice using MRI - once around 30 weeks post-menstrual age (w PMA) and once at term-equivalent age, around 40w PMA -, in order to quantify the sulcus's shape variability using manifold learning, regardless of age-group or hemisphere. We then used these shape descriptors to evaluate the sulcus's variability at both ages and to assess hemispheric and age-group specificities. This led us to propose a description of ten shape features capturing the variability in the central sulcus of preterm infants. Our results suggested that most of these features (8/10) are encoded as early as 30w PMA. We unprecedentedly observed hemispheric asymmetries at both ages, and the one captured at term-equivalent age seems to correspond with the asymmetry pattern previously reported in adults. We further trained classifiers in order to explore the predictive value of these shape features on manual performance at 5 years of age (handedness and fine motor outcome). The central sulcus's shape alone showed a limited but relevant predictive capacity in both cases. The study of sulcal shape features during early neurodevelopment may participate to a better comprehension of the complex links between morphological and functional organization of the developing brain.
Collapse
Affiliation(s)
- H de Vareilles
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, Gif-sur-Yvette, France.
| | - D Rivière
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, Gif-sur-Yvette, France
| | - Z Sun
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, Gif-sur-Yvette, France
| | - C Fischer
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, Gif-sur-Yvette, France
| | - F Leroy
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, Gif-sur-Yvette, France; Université Paris-Saclay, NeuroSpin-UNICOG, Inserm, CEA, Gif-sur-Yvette, France
| | - S Neumane
- Université de Paris, NeuroDiderot, Inserm, Paris, France; Université Paris-Saclay, NeuroSpin-UNIACT, CEA, Gif-sur-Yvette, France
| | - N Stopar
- Utrecht University, University Medical Center Utrecht, Department of Neonatology, Utrecht, the Netherlands
| | - R Eijsermans
- Utrecht University, University Medical Center Utrecht, Department of Neonatology, Utrecht, the Netherlands
| | - M Ballu
- Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, United Kingdom
| | - M L Tataranno
- Utrecht University, University Medical Center Utrecht, Department of Neonatology, Utrecht, the Netherlands
| | - Mjnl Benders
- Utrecht University, University Medical Center Utrecht, Department of Neonatology, Utrecht, the Netherlands
| | - J F Mangin
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, Gif-sur-Yvette, France
| | - J Dubois
- Université de Paris, NeuroDiderot, Inserm, Paris, France; Université Paris-Saclay, NeuroSpin-UNIACT, CEA, Gif-sur-Yvette, France
| |
Collapse
|
30
|
Morton SU, Maleyeff L, Wypij D, Yun HJ, Rollins CK, Watson CG, Newburger JW, Bellinger DC, Roberts AE, Rivkin MJ, Grant PE, Im K. Abnormal Right-Hemispheric Sulcal Patterns Correlate with Executive Function in Adolescents with Tetralogy of Fallot. Cereb Cortex 2021; 31:4670-4680. [PMID: 34009260 PMCID: PMC8408447 DOI: 10.1093/cercor/bhab114] [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: 12/31/2020] [Revised: 04/08/2021] [Accepted: 04/09/2021] [Indexed: 11/15/2022] Open
Abstract
Neurodevelopmental disabilities are the most common noncardiac conditions in patients with congenital heart disease (CHD). Executive function skills have been frequently observed to be decreased among children and adults with CHD compared with peers, but a neuroanatomical basis for the association is yet to be identified. In this study, we quantified sulcal pattern features from brain magnetic resonance imaging data obtained during adolescence among 41 participants with tetralogy of Fallot (ToF) and 49 control participants using a graph-based pattern analysis technique. Among patients with ToF, right-hemispheric sulcal pattern similarity to the control group was decreased (0.7514 vs. 0.7553, P = 0.01) and positively correlated with neuropsychological testing values including executive function (r = 0.48, P < 0.001). Together these findings suggest that sulcal pattern analysis may be a useful marker of neurodevelopmental risk in patients with CHD. Further studies may elucidate the mechanisms leading to different alterations in sulcal patterning.
Collapse
Affiliation(s)
- Sarah U Morton
- Division of Newborn Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Lara Maleyeff
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - David Wypij
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Cardiology, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Hyuk Jin Yun
- Division of Newborn Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Caitlin K Rollins
- Department of Neurology, Boston Children’s Hospital, Boston, MA 02115, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
| | | | - Jane W Newburger
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
- Department of Cardiology, Boston Children’s Hospital, Boston, MA 02115, USA
| | - David C Bellinger
- Department of Neurology, Boston Children’s Hospital, Boston, MA 02115, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
- Department of Psychiatry, Boston Children’s Hospital, Boston, MA 02115, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
| | - Amy E Roberts
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
- Department of Cardiology, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Michael J Rivkin
- Department of Neurology, Boston Children’s Hospital, Boston, MA 02115, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
- Department of Psychiatry, Boston Children’s Hospital, Boston, MA 02115, USA
- Division of Radiology, Boston Children’s Hospital, Boston, MA 02115, USA
- Stroke and Cerebrovascular Center, Boston Children’s Hospital, Boston, MA 02115, USA
| | - P Ellen Grant
- Division of Newborn Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA 02115, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
| | - Kiho Im
- Division of Newborn Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA 02115, USA
| |
Collapse
|
31
|
Convolutional neural networks for cytoarchitectonic brain mapping at large scale. Neuroimage 2021; 240:118327. [PMID: 34224853 DOI: 10.1016/j.neuroimage.2021.118327] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 05/05/2021] [Accepted: 06/30/2021] [Indexed: 01/06/2023] Open
Abstract
Human brain atlases provide spatial reference systems for data characterizing brain organization at different levels, coming from different brains. Cytoarchitecture is a basic principle of the microstructural organization of the brain, as regional differences in the arrangement and composition of neuronal cells are indicators of changes in connectivity and function. Automated scanning procedures and observer-independent methods are prerequisites to reliably identify cytoarchitectonic areas, and to achieve reproducible models of brain segregation. Time becomes a key factor when moving from the analysis of single regions of interest towards high-throughput scanning of large series of whole-brain sections. Here we present a new workflow for mapping cytoarchitectonic areas in large series of cell-body stained histological sections of human postmortem brains. It is based on a Deep Convolutional Neural Network (CNN), which is trained on a pair of section images with annotations, with a large number of un-annotated sections in between. The model learns to create all missing annotations in between with high accuracy, and faster than our previous workflow based on observer-independent mapping. The new workflow does not require preceding 3D-reconstruction of sections, and is robust against histological artefacts. It processes large data sets with sizes in the order of multiple Terabytes efficiently. The workflow was integrated into a web interface, to allow access without expertise in deep learning and batch computing. Applying deep neural networks for cytoarchitectonic mapping opens new perspectives to enable high-resolution models of brain areas, introducing CNNs to identify borders of brain areas.
Collapse
|
32
|
Sheffield JM, Huang AS, Rogers BP, Blackford JU, Heckers S, Woodward ND. Insula sub-regions across the psychosis spectrum: morphology and clinical correlates. Transl Psychiatry 2021; 11:346. [PMID: 34088895 PMCID: PMC8178380 DOI: 10.1038/s41398-021-01461-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 05/04/2021] [Accepted: 05/14/2021] [Indexed: 02/05/2023] Open
Abstract
The insula is a heterogeneous cortical region, comprised of three cytoarchitecturally distinct sub-regions (agranular, dysgranular, and granular), which traverse the anterior-posterior axis and are differentially involved in affective, cognitive, and somatosensory processing. Smaller insula volume is consistently reported in psychosis-spectrum disorders and is hypothesized to result, in part, from abnormal neurodevelopment. To better understand the regional and diagnostic specificity of insula abnormalities in psychosis, their developmental etiology, and clinical correlates, we characterized insula volume and morphology in a large group of adults with a psychotic disorder (schizophrenia spectrum, psychotic bipolar disorder) and a community-ascertained cohort of psychosis-spectrum youth (age 8-21). Insula volume and morphology (cortical thickness, gyrification, sulcal depth) were quantified from T1-weighted structural brain images using the Computational Anatomy Toolbox (CAT12). Healthy adults (n = 196), people with a psychotic disorder (n = 303), and 1368 individuals from the Philadelphia Neurodevelopmental Cohort (PNC) (381 typically developing (TD), 381 psychosis-spectrum (PS) youth, 606 youth with other psychopathology (OP)), were investigated. Insula volume was significantly reduced in adults with psychotic disorders and psychosis-spectrum youth, following an anterior-posterior gradient across granular sub-regions. Morphological abnormalities were limited to lower gyrification in psychotic disorders, which was specific to schizophrenia and associated with cognitive ability. Insula volume and thickness were associated with cognition, and positive and negative symptoms of psychosis. We conclude that smaller insula volume follows an anterior-posterior gradient in psychosis and confers a broad risk for psychosis-spectrum disorders. Reduced gyrification is specific to schizophrenia and may reflect altered prenatal development that contributes to cognitive impairment.
Collapse
Affiliation(s)
- Julia M Sheffield
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Anna S Huang
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Baxter P Rogers
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
- Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA
| | | | - Stephan Heckers
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Neil D Woodward
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| |
Collapse
|
33
|
Borne L, Rivière D, Cachia A, Roca P, Mellerio C, Oppenheim C, Mangin JF. Automatic recognition of specific local cortical folding patterns. Neuroimage 2021; 238:118208. [PMID: 34089872 DOI: 10.1016/j.neuroimage.2021.118208] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 04/30/2021] [Accepted: 05/25/2021] [Indexed: 11/15/2022] Open
Abstract
The study of local cortical folding patterns showed links with psychiatric illnesses as well as cognitive functions. Despite the tools now available to visualize cortical folds in 3D, manually classifying local sulcal patterns is a time-consuming and tedious task. In fact, 3D visualization of folds helps experts to identify different sulcal patterns but fold variability is so high that the distinction between these patterns sometimes requires the definition of complex criteria, making manual classification difficult and not reliable. However, the assessment of the impact of these patterns on the functional organization of the cortex could benefit from the study of large databases, especially when studying rare patterns. In this paper, several algorithms for the automatic classification of fold patterns are proposed to allow morphological studies to be extended and confirmed on such large databases. Three methods are proposed, the first based on a Support Vector Machine (SVM) classifier, the second on the Scoring by Non-local Image Patch Estimator (SNIPE) approach and the third based on a 3D Convolution Neural Network (CNN). These methods are generic enough to be applicable to a wide range of folding patterns. They are tested on two types of patterns for which there is currently no method to automatically identify them: the Anterior Cingulate Cortex (ACC) patterns and the Power Button Sign (PBS). The two ACC patterns are almost equally present whereas PBS is a particularly rare pattern in the general population. The three models proposed achieve balanced accuracies of approximately 80% for ACC patterns classification and 60% for PBS classification. The CNN-based model is more interesting for the classification of ACC patterns thanks to its rapid execution. However, SVM and SNIPE-based models are more effective in managing unbalanced problems such as PBS recognition.
Collapse
Affiliation(s)
- Léonie Borne
- Université Paris-Saclay, CEA, CNRS, Baobab, Neurospin, Gif-sur-Yvette, France; University of Newcastle, HMRI, Systems Neuroscience Group, NSW, Australia.
| | - Denis Rivière
- Université Paris-Saclay, CEA, CNRS, Baobab, Neurospin, Gif-sur-Yvette, France
| | - Arnaud Cachia
- Université de Paris, LaPsyDÉ, CNRS, Paris, France; Université de Paris, Institut de Psychiatrie et Neurosciences de Paris (IPNP), INSERM, UMR S1266, Paris, France
| | - Pauline Roca
- Université de Paris, Institut de Psychiatrie et Neurosciences de Paris (IPNP), INSERM, UMR S1266, Paris, France; Groupe Hospitalier Universitaire Paris Psychiatrie et Neurosciences, Sainte-Anne Hospital, Imaging Department, Paris, France; Pixyl, Research and Development Laboratory, Grenoble, France
| | - Charles Mellerio
- Université de Paris, Institut de Psychiatrie et Neurosciences de Paris (IPNP), INSERM, UMR S1266, Paris, France; Groupe Hospitalier Universitaire Paris Psychiatrie et Neurosciences, Sainte-Anne Hospital, Imaging Department, Paris, France; Centre d'imagerie du Nord, Saint Denis, France
| | - Catherine Oppenheim
- Université de Paris, Institut de Psychiatrie et Neurosciences de Paris (IPNP), INSERM, UMR S1266, Paris, France; Groupe Hospitalier Universitaire Paris Psychiatrie et Neurosciences, Sainte-Anne Hospital, Imaging Department, Paris, France
| | | |
Collapse
|
34
|
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.
Collapse
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
| |
Collapse
|
35
|
Ahtam B, Turesky TK, Zöllei L, Standish J, Grant PE, Gaab N, Im K. Intergenerational Transmission of Cortical Sulcal Patterns from Mothers to their Children. Cereb Cortex 2021; 31:1888-1897. [PMID: 33230560 PMCID: PMC7945013 DOI: 10.1093/cercor/bhaa328] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Revised: 10/09/2020] [Accepted: 10/10/2020] [Indexed: 12/23/2022] Open
Abstract
Intergenerational effects are described as the genetic, epigenetic, as well as pre- and postnatal environmental influence parents have on their offspring's behavior, cognition, and brain. During fetal brain development, the primary cortical sulci emerge with a distinctive folding pattern that are under strong genetic influence and show little change of this pattern throughout postnatal brain development. We examined intergenerational transmission of cortical sulcal patterns by comparing primary sulcal patterns between children (N = 16, age 5.5 ± 0.81 years, 8 males) and their biological mothers (N = 15, age 39.72 ± 4.68 years) as well as between children and unrelated adult females. Our graph-based sulcal pattern comparison method detected stronger sulcal pattern similarity for child-mother pairs than child-unrelated pairs, where higher similarity between child-mother pairs was observed mostly for the right lobar regions. Our results also show that child-mother versus child-unrelated pairs differ for daughters and sons with a trend toward significance, particularly for the left hemisphere lobar regions. This is the first study to reveal significant intergenerational transmission of cortical sulcal patterns, and our results have important implications for the study of the heritability of complex behaviors, brain-based disorders, the identification of biomarkers, and targets for interventions.
Collapse
Affiliation(s)
- Banu Ahtam
- Fetal-Neonatal Neuroimaging & Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children’s Hospital, Boston, MA 02115, USA
- Harvard Medical School, Department of Pediatrics, Boston, MA 02115, USA
| | - Ted K Turesky
- Harvard Medical School, Department of Pediatrics, Boston, MA 02115, USA
- Laboratories of Cognitive Neuroscience, Division of Developmental Medicine, Department of Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Lilla Zöllei
- A.A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA 02129, USA
| | - Julianna Standish
- Fetal-Neonatal Neuroimaging & Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children’s Hospital, Boston, MA 02115, USA
| | - P Ellen Grant
- Fetal-Neonatal Neuroimaging & Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children’s Hospital, Boston, MA 02115, USA
- Harvard Medical School, Department of Pediatrics, Boston, MA 02115, USA
| | - Nadine Gaab
- Harvard Medical School, Department of Pediatrics, Boston, MA 02115, USA
- Laboratories of Cognitive Neuroscience, Division of Developmental Medicine, Department of Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Kiho Im
- Fetal-Neonatal Neuroimaging & Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children’s Hospital, Boston, MA 02115, USA
- Harvard Medical School, Department of Pediatrics, Boston, MA 02115, USA
| |
Collapse
|
36
|
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.
Collapse
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
| |
Collapse
|
37
|
Zhang T, Li X, Jiang X, Ge F, Zhang S, Zhao L, Liu H, Huang Y, Wang X, Yang J, Guo L, Hu X, Liu T. Cortical 3-hinges could serve as hubs in cortico-cortical connective network. Brain Imaging Behav 2020; 14:2512-2529. [PMID: 31950404 PMCID: PMC7647986 DOI: 10.1007/s11682-019-00204-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Mapping the relation between cortical convolution and structural/functional brain architectures could provide deep insights into the mechanisms of brain development, evolution and diseases. In our previous studies, we found a unique gyral folding pattern, termed a 3-hinge, which was defined as the conjunction of three gyral crests. The uniqueness of the 3-hinge was evidenced by its thicker cortex and stronger fiber connections than other gyral regions. However, the role that 3-hinges play in cortico-cortical connective architecture remains unclear. To this end, we conducted MRI studies by constructing structural cortico-cortical connective networks based on a fine-granular cortical parcellation, the parcels of which were automatically labeled as 3-hinge, 2-hinge (ordinary gyrus) or sulcus. On human brains, 3-hinges possess significantly higher degrees, strengths and betweennesses than 2-hinges, suggesting that 3-hinges could serve more like hubs in the cortico-cortical connective network. This hypothesis gains supports from human functional network analyses, in which 3-hinges are involved in more global functional networks than ordinary gyri. In addition, 3-hinges could serve as 'connector' hubs rather than 'provincial' hubs and they account for a dominant proportion of nodes in the high-level 'backbone' of the network. These structural results are reproduced on chimpanzee and macaque brains, while the roles of 3-hinges as hubs become more pronounced in higher order primates. Our new findings could provide a new window to the relation between cortical convolution, anatomical connection and brain function.
Collapse
Affiliation(s)
- Tuo Zhang
- School of Automation, Northwestern Polytechnical University, #127, West Youyi Road, Xi'an, 710072, Shaanxi, China.
| | - Xiao Li
- School of Automation, Northwestern Polytechnical University, #127, West Youyi Road, Xi'an, 710072, Shaanxi, China
| | - Xi Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Fangfei Ge
- Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, USA
| | - Shu Zhang
- Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, USA
| | - Lin Zhao
- School of Automation, Northwestern Polytechnical University, #127, West Youyi Road, Xi'an, 710072, Shaanxi, China
| | - Huan Liu
- School of Automation, Northwestern Polytechnical University, #127, West Youyi Road, Xi'an, 710072, Shaanxi, China
| | - Ying Huang
- School of Automation, Northwestern Polytechnical University, #127, West Youyi Road, Xi'an, 710072, Shaanxi, China
| | - Xianqiao Wang
- College of Engineering, The University of Georgia, Athens, GA, USA
| | - Jian Yang
- Radiology Department of the First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Lei Guo
- School of Automation, Northwestern Polytechnical University, #127, West Youyi Road, Xi'an, 710072, Shaanxi, 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
| |
Collapse
|
38
|
Kruggel F, Solodkin A. Heritability of Structural Patterning in the Human Cerebral Cortex. Neuroimage 2020; 221:117169. [PMID: 32693166 DOI: 10.1016/j.neuroimage.2020.117169] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 06/29/2020] [Accepted: 07/11/2020] [Indexed: 01/11/2023] Open
Abstract
Genetic influences that govern the spatial patterning of the human cortex and its structural variability are still incompletely known. We analyzed structural MR images in twins, siblings, and pairs of unrelated subjects. A comprehensive set of methods was employed to quantify properties of cortical features at different spatial scales. Measures were used to assess the influence of genetic similarity on structural patterning. Results indicated that: (1) Genetic effects significantly influence all structural features assessed here at all spatial resolutions, albeit at different strengths. (2) While strong genetic effects were found at the whole-brain and hemisphere level, effects were weaker at the regional and vertex level, depending on the measure under study. (3) Besides cortical thickness, sulcal (geodesic) depth was found to be under strong genetic control. The local pattern indicated that two axes along (a) the anterior-posterior direction (insula to parieto-occipital sulcus), and (b) superior-inferior direction (central sulcus to callosal sulcus) presumably determine the segregation of four quadrants in each hemisphere early in development. (4) While strong structural asymmetries were found at the regional level, genetic influences on laterality were relatively minor.
Collapse
Affiliation(s)
- Frithjof Kruggel
- Department of Biomedical Engineering, University of California, Irvine, USA.
| | - Ana Solodkin
- School of Behavioral and Brain Sciences, University of Texas, Dallas, USA
| |
Collapse
|
39
|
Bodin C, Pron A, Le Mao M, Régis J, Belin P, Coulon O. Plis de passage in the superior temporal sulcus: Morphology and local connectivity. Neuroimage 2020; 225:117513. [PMID: 33130271 DOI: 10.1016/j.neuroimage.2020.117513] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 10/21/2020] [Accepted: 10/23/2020] [Indexed: 12/31/2022] Open
Abstract
While there is a profusion of functional investigations involving the superior temporal sulcus (STS), our knowledge of the anatomy of this sulcus is still limited by a large individual variability. In particular, an accurate characterization of the "plis de passage" (PPs), annectant gyri inside the fold, is lacking to explain this variability. Performed on 90 subjects of the HCP database, our study revealed that PPs constitute landmarks that can be identified from the geometry of the STS walls. They were found associated with a specific U-shape white-matter connectivity between the two banks of the sulcus, the amount of connectivity being related to the depth of the PPs. These findings raise new hypotheses regarding the spatial organization of PPs, the relation between cortical anatomy and structural connectivity, as well as the possible role of PPs in the regional functional organization.
Collapse
Affiliation(s)
- C Bodin
- CNRS, UMR 7289, Institut de Neurosciences de la Timone, Aix-Marseille Université, Marseille, France; Institute for Language, Communication, and the Brain, Aix-Marseille University, Marseille, France.
| | - A Pron
- CNRS, UMR 7289, Institut de Neurosciences de la Timone, Aix-Marseille Université, Marseille, France
| | - M Le Mao
- CNRS, UMR 7289, Institut de Neurosciences de la Timone, Aix-Marseille Université, Marseille, France
| | - J Régis
- INSERM U1106, Institut de Neurosciences des Systèmes, Aix-Marseille Université, Marseille, France
| | - P Belin
- CNRS, UMR 7289, Institut de Neurosciences de la Timone, Aix-Marseille Université, Marseille, France; Département de Psychologie, Université de Montréal, Montréal, Canada; Institute for Language, Communication, and the Brain, Aix-Marseille University, Marseille, France
| | - O Coulon
- CNRS, UMR 7289, Institut de Neurosciences de la Timone, Aix-Marseille Université, Marseille, France; Institute for Language, Communication, and the Brain, Aix-Marseille University, Marseille, France
| |
Collapse
|
40
|
Natu VS, Arcaro MJ, Barnett MA, Gomez J, Livingstone M, Grill-Spector K, Weiner KS. Sulcal Depth in the Medial Ventral Temporal Cortex Predicts the Location of a Place-Selective Region in Macaques, Children, and Adults. Cereb Cortex 2020; 31:48-61. [PMID: 32954410 DOI: 10.1093/cercor/bhaa203] [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: 01/27/2020] [Revised: 06/03/2020] [Accepted: 07/02/2020] [Indexed: 01/14/2023] Open
Abstract
The evolution and development of anatomical-functional relationships in the cerebral cortex is of major interest in neuroscience. Here, we leveraged the fact that a functional region selective for visual scenes is located within a sulcus in the medial ventral temporal cortex (VTC) in both humans and macaques to examine the relationship between sulcal depth and place selectivity in the medial VTC across species and age groups. To do so, we acquired anatomical and functional magnetic resonance imaging scans in 9 macaques, 26 human children, and 28 human adults. Our results revealed a strong structural-functional coupling between sulcal depth and place selectivity across age groups and species in which selectivity was strongest near the deepest sulcal point (the sulcal pit). Interestingly, this coupling between sulcal depth and place selectivity strengthens from childhood to adulthood in humans. Morphological analyses suggest that the stabilization of sulcal-functional coupling in adulthood may be due to sulcal deepening and areal expansion with age as well as developmental differences in cortical curvature at the pial, but not the white matter surfaces. Our results implicate sulcal features as functional landmarks in high-level visual cortex and highlight that sulcal-functional relationships in the medial VTC are preserved between macaques and humans despite differences in cortical folding.
Collapse
Affiliation(s)
- Vaidehi S Natu
- Department of Psychology, Stanford University, Stanford, CA 94305, USA
| | - Michael J Arcaro
- Department of Neurobiology, Harvard Medical School, MA 02115, USA.,Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Michael A Barnett
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jesse Gomez
- Department of Psychology, University of California, Berkeley, CA 94720, USA.,Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA
| | | | - Kalanit Grill-Spector
- Department of Psychology, Stanford University, Stanford, CA 94305, USA.,Neurosciences Program, Stanford University, Stanford, CA 94305, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA
| | - Kevin S Weiner
- Department of Psychology, University of California, Berkeley, CA 94720, USA.,Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA
| |
Collapse
|
41
|
Fetal brain age estimation and anomaly detection using attention-based deep ensembles with uncertainty. Neuroimage 2020; 223:117316. [PMID: 32890745 DOI: 10.1016/j.neuroimage.2020.117316] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 07/25/2020] [Accepted: 08/24/2020] [Indexed: 12/30/2022] Open
Abstract
MRI-based brain age prediction has been widely used to characterize normal brain development, and deviations from the typical developmental trajectory are indications of brain abnormalities. Age prediction of the fetal brain remains unexplored, although it can be of broad interest to prenatal examination given the limited diagnostic tools available for assessment of the fetal brain. In this work, we built an attention-based deep residual network based on routine clinical T2-weighted MR images of 659 fetal brains, which achieved an overall mean absolute error of 0.767 weeks and R2 of 0.920 in fetal brain age prediction. The predictive uncertainty and estimation confidence were simultaneously quantified from the network as markers for detecting fetal brain anomalies using an ensemble method. The novel markers overcame the limitations in conventional brain age estimation and demonstrated promising diagnostic power in differentiating several types of fetal abnormalities, including small head circumference, malformations and ventriculomegaly with the area under the curve of 0.90, 0.90 and 0.67, respectively. In addition, attention maps were derived from the network, which revealed regional features that contributed to fetal age estimation at each gestational stage. The proposed attention-based deep ensembles demonstrated superior performance in fetal brain age estimation and fetal anomaly detection, which has the potential to be translated to prenatal diagnosis in clinical practice.
Collapse
|
42
|
Kaltenmark I, Deruelle C, Brun L, Lefèvre J, Coulon O, Auzias G. Group-level cortical surface parcellation with sulcal pits labeling. Med Image Anal 2020; 66:101749. [PMID: 32877840 DOI: 10.1016/j.media.2020.101749] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Revised: 04/09/2020] [Accepted: 06/03/2020] [Indexed: 11/16/2022]
Abstract
Sulcal pits are the points of maximal depth within the folds of the cortical surface. These shape descriptors give a unique opportunity to access to a rich, fine-scale representation of the geometry and the developmental milestones of the cortical surface. However, using sulcal pits analysis at group level requires new numerical tools to establish inter-subject correspondences. Here, we address this issue by taking advantage of the geometrical information carried by sulcal basins that are the local patches of surfaces surrounding each sulcal pit. Our framework consists in two phases. First, we present a new method to generate a population-specific atlas of this sulcal basins organi- zation as a fold-level parcellation of the cortical surface. Then, we address the labeling of individual sulcal pits and corresponding basins with respect to this atlas. To assess their validity, we applied these methodological advances on two different populations of healthy subjects. The first database of 137 adults allowed us to compare our method to the state-of-the-art and the second database of 209 children, aged between 0 and 18 years, illustrates the adaptability and relevance of our method in the context of pediatric data showing strong variations in cortical volume and folding.
Collapse
Affiliation(s)
- Irène Kaltenmark
- Institut de Neurosciences de la Timone UMR 7289, Aix-Marseille Université, CNRS Faculté de Médecine, 27 boulevard Faculté Jean Moulin, 13005 Marseille, France.
| | - Christine Deruelle
- Institut de Neurosciences de la Timone UMR 7289, Aix-Marseille Université, CNRS Faculté de Médecine, 27 boulevard Faculté Jean Moulin, 13005 Marseille, France
| | - Lucile Brun
- Institut de Neurosciences de la Timone UMR 7289, Aix-Marseille Université, CNRS Faculté de Médecine, 27 boulevard Faculté Jean Moulin, 13005 Marseille, France
| | - Julien Lefèvre
- Institut de Neurosciences de la Timone UMR 7289, Aix-Marseille Université, CNRS Faculté de Médecine, 27 boulevard Faculté Jean Moulin, 13005 Marseille, France
| | - Olivier Coulon
- Institut de Neurosciences de la Timone UMR 7289, Aix-Marseille Université, CNRS Faculté de Médecine, 27 boulevard Faculté Jean Moulin, 13005 Marseille, France
| | - Guillaume Auzias
- Institut de Neurosciences de la Timone UMR 7289, Aix-Marseille Université, CNRS Faculté de Médecine, 27 boulevard Faculté Jean Moulin, 13005 Marseille, France
| |
Collapse
|
43
|
Jaimes C, Rofeberg V, Stopp C, Ortinau CM, Gholipour A, Friedman KG, Tworetzky W, Estroff J, Newburger JW, Wypij D, Warfield SK, Yang E, Rollins CK. Association of Isolated Congenital Heart Disease with Fetal Brain Maturation. AJNR Am J Neuroradiol 2020; 41:1525-1531. [PMID: 32646947 DOI: 10.3174/ajnr.a6635] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 04/30/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND AND PURPOSE Brain MRI of newborns with congenital heart disease show signs of immaturity relative to healthy controls. Our aim was to determine whether the semiquantitative fetal total maturation score can detect abnormalities in brain maturation in fetuses with congenital heart disease in the second and third trimesters. MATERIALS AND METHODS We analyzed data from a prospective study of fetuses with and without congenital heart disease who underwent fetal MR imaging at 25-35 weeks' gestation. Two independent neuroradiologists blinded to the clinical data reviewed and scored all images using the fetal total maturation score. Interrater reliability was evaluated by the intraclass correlation coefficient using the individual reader scores, which were also used to calculate an average score for each subject. Comparisons of the average and individual reader scores between affected and control fetuses and relationships with clinical variables were evaluated using multivariable linear regression. RESULTS Data from 69 subjects (48 cardiac, 21 controls) were included. High concordance was observed between readers with an intraclass correlation coefficient of 0.98 (95% CI, 0.97-0.99). The affected group had significantly lower fetal total maturation scores than the control group (β-estimate, -0.9 [95% CI, -1.5 to -0.4], P = .002), adjusting for gestational age and sex. Averaged fetal total maturation, germinal matrix, myelination, and superior temporal sulcus scores were significantly delayed in fetuses with congenital heart disease versus controls (P < .05 for each). The fetal total maturation score was not significantly associated with any cardiac, anatomic, or physiologic variables. CONCLUSIONS The fetal total maturation score is sensitive to differences in brain maturation between fetuses with isolated congenital heart disease and healthy controls.
Collapse
Affiliation(s)
- C Jaimes
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts.,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts
| | - V Rofeberg
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts
| | - C Stopp
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts
| | - C M Ortinau
- Pediatrics (C.M.O.), Washington University in St. Louis, St. Louis, Missouri
| | - A Gholipour
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts.,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts
| | - K G Friedman
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts.,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts
| | - W Tworetzky
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts.,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts
| | - J Estroff
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts.,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts
| | - J W Newburger
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts.,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts
| | - D Wypij
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts.,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts.,Biostatistics (D.W.), Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - S K Warfield
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts.,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts
| | - E Yang
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts.,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts
| | - C K Rollins
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts .,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts
| |
Collapse
|
44
|
Huang SG, Lyu I, Qiu A, Chung MK. Fast Polynomial Approximation of Heat Kernel Convolution on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis. IEEE TRANSACTIONS ON MEDICAL IMAGING 2020; 39:2201-2212. [PMID: 31976883 PMCID: PMC7778732 DOI: 10.1109/tmi.2020.2967451] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Heat diffusion has been widely used in brain imaging for surface fairing, mesh regularization and cortical data smoothing. Motivated by diffusion wavelets and convolutional neural networks on graphs, we present a new fast and accurate numerical scheme to solve heat diffusion on surface meshes. This is achieved by approximating the heat kernel convolution using high degree orthogonal polynomials in the spectral domain. We also derive the closed-form expression of the spectral decomposition of the Laplace-Beltrami operator and use it to solve heat diffusion on a manifold for the first time. The proposed fast polynomial approximation scheme avoids solving for the eigenfunctions of the Laplace-Beltrami operator, which is computationally costly for large mesh size, and the numerical instability associated with the finite element method based diffusion solvers. The proposed method is applied in localizing the male and female differences in cortical sulcal and gyral graph patterns obtained from MRI in an innovative way. The MATLAB code is available at http://www.stat.wisc.edu/~mchung/chebyshev.
Collapse
|
45
|
Yun HJ, Vasung L, Tarui T, Rollins CK, Ortinau CM, Grant PE, Im K. Temporal Patterns of Emergence and Spatial Distribution of Sulcal Pits During Fetal Life. Cereb Cortex 2020; 30:4257-4268. [PMID: 32219376 DOI: 10.1093/cercor/bhaa053] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 01/16/2020] [Accepted: 02/14/2020] [Indexed: 12/23/2022] Open
Abstract
Sulcal pits are thought to represent the first cortical folds of primary sulci during neurodevelopment. The uniform spatial distribution of sulcal pits across individuals is hypothesized to be predetermined by a human-specific protomap which is related to functional localization under genetic controls in early fetal life. Thus, it is important to characterize temporal and spatial patterns of sulcal pits in the fetal brain that would provide additional information of functional development of the human brain and crucial insights into abnormal cortical maturation. In this paper, we investigated temporal patterns of emergence and spatial distribution of sulcal pits using 48 typically developing fetal brains in the second half of gestation. We found that the position and spatial variance of sulcal pits in the fetal brain are similar to those in the adult brain, and they are also temporally uniform against dynamic brain growth during fetal life. Furthermore, timing of pit emergence shows a regionally diverse pattern that may be associated with the subdivisions of the protomap. Our findings suggest that sulcal pits in the fetal brain are useful anatomical landmarks containing detailed information of functional localization in early cortical development and maintaining their spatial distribution throughout the human lifetime.
Collapse
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
| | - Lana Vasung
- 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
| | - Tomo Tarui
- Mother Infant Research Institute, Tufts Medical Center, Tufts University School of Medicine, Boston, MA 02111, USA.,Department of Pediatrics, Tufts Medical Center, Tufts University School of Medicine, Boston, MA 02111, USA
| | - Caitlin K Rollins
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Cynthia M Ortinau
- Department of Pediatrics, Washington University in St. Louis, St. Louis, MO 63110, 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
| | - 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
| |
Collapse
|
46
|
Morton SU, Maleyeff L, Wypij D, Yun HJ, Newburger JW, Bellinger DC, Roberts AE, Rivkin MJ, Seidman JG, Seidman CE, Grant PE, Im K. Abnormal Left-Hemispheric Sulcal Patterns Correlate with Neurodevelopmental Outcomes in Subjects with Single Ventricular Congenital Heart Disease. Cereb Cortex 2020; 30:476-487. [PMID: 31216004 PMCID: PMC7306172 DOI: 10.1093/cercor/bhz101] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 04/02/2019] [Accepted: 04/25/2019] [Indexed: 12/16/2022] Open
Abstract
Neurodevelopmental abnormalities are the most common noncardiac complications in patients with congenital heart disease (CHD). Prenatal brain abnormalities may be due to reduced oxygenation, genetic factors, or less commonly, teratogens. Understanding the contribution of these factors is essential to improve outcomes. Because primary sulcal patterns are prenatally determined and under strong genetic control, we hypothesized that they are influenced by genetic variants in CHD. In this study, we reveal significant alterations in sulcal patterns among subjects with single ventricle CHD (n = 115, 14.7 ± 2.9 years [mean ± standard deviation]) compared with controls (n = 45, 15.5 ± 2.4 years) using a graph-based pattern-analysis technique. Among patients with CHD, the left hemisphere demonstrated decreased sulcal pattern similarity to controls in the left temporal and parietal lobes, as well as the bilateral frontal lobes. Temporal and parietal lobes demonstrated an abnormally asymmetric left-right pattern of sulcal basin area in CHD subjects. Sulcal pattern similarity to control was positively correlated with working memory, processing speed, and executive function. Exome analysis identified damaging de novo variants only in CHD subjects with more atypical sulcal patterns. Together, these findings suggest that sulcal pattern analysis may be useful in characterizing genetically influenced, atypical early brain development and neurodevelopmental risk in subjects with CHD.
Collapse
Affiliation(s)
- Sarah U Morton
- Division of Newborn Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Lara Maleyeff
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - David Wypij
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Cardiology, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Hyuk Jin Yun
- Division of Newborn Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Jane W Newburger
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
- Department of Cardiology, Boston Children’s Hospital, Boston, MA 02115, USA
| | - David C Bellinger
- Department of Neurology
- Department of Psychiatry, Boston Children’s Hospital, Boston, MA 02115, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
| | - Amy E Roberts
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
- Department of Cardiology, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Michael J Rivkin
- Department of Neurology
- Department of Psychiatry, Boston Children’s Hospital, Boston, MA 02115, USA
- Division of Radiology
- Stroke and Cerebrovascular Center, Boston Children’s Hospital, Boston, MA 02115, USA
| | - J G Seidman
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Christine E Seidman
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA
| | - P Ellen Grant
- Division of Newborn Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA 02115, USA
- Division of Radiology
| | - Kiho Im
- Division of Newborn Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA 02115, USA
| |
Collapse
|
47
|
Effect of Neuroligin1 and Neurexin1 on the Colonic Motility in a Mouse Model of Neuronal Intestinal Dysplasia. Gastroenterol Res Pract 2020; 2020:9818652. [PMID: 32184818 PMCID: PMC7059090 DOI: 10.1155/2020/9818652] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Revised: 12/21/2019] [Accepted: 12/23/2019] [Indexed: 01/16/2023] Open
Abstract
Aim To investigate the expressions of neuroligin1 (NL1) and neurexin1 (NX1) in a mouse model of neuronal intestinal dysplasia (Tlx2−/− mice) and to explore their effects on colonic motility. Methods Immunohistochemistry staining was employed to explore the histological appearances of NL1, NX1, the presynaptic marker of glutamatergic synapses VGLUT1, and the subunit of NMDA receptors of NR1 in the colon of mice with or without Tlx2 mutation. Western blotting and qRT-PCR were performed to detect their relative expressions in the colon. Colonic motility was measured by a glass bead technique. Then, the Tlx2−/− mice were intervened by Huperzine A. Variations on expressions of NL1, NX1, VGLUT1, and NR1 and variations on colonic motility were measured. Additionally, serum concentrations of Glu were measured by ELISA. Results Immunohistochemistry staining reveals that NL1, NX1, VGLUT1, and NR1 were mainly concentrated in the myenteric plexus of ENS. Compared to those in WT and Tlx2+/- mice, expressions of NL1 and NX1 in colon of Tlx2−/− mice were upregulated with increased VGLUT1 and NR1 abundances and impaired colonic motility (P < 0.05). After intervention, the upregulated expressions of NL1 and NX1 were decreased with a correlated reduce of VGLUT1 and NR1 and a recovery of the impaired colonic motility (P < 0.05). After intervention, the upregulated expressions of NL1 and NX1 were decreased with a correlated reduce of VGLUT1 and NR1 and a recovery of the impaired colonic motility (P < 0.05). After intervention, the upregulated expressions of NL1 and NX1 were decreased with a correlated reduce of VGLUT1 and NR1 and a recovery of the impaired colonic motility ( Conclusion NL1 and NX1 are closely related to the colonic motility through their effects of targeting the formation of glutamatergic synapses and may be involved in the pathogenesis of NID. The variations of serum Glu seem to be a potential and less painful auxiliary measure for colonic motility and NID.
Collapse
|
48
|
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.
Collapse
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
| |
Collapse
|
49
|
|
50
|
Le BD, Stein JL. Mapping causal pathways from genetics to neuropsychiatric disorders using genome-wide imaging genetics: Current status and future directions. Psychiatry Clin Neurosci 2019; 73:357-369. [PMID: 30864184 PMCID: PMC6625892 DOI: 10.1111/pcn.12839] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 02/22/2019] [Accepted: 03/05/2019] [Indexed: 12/17/2022]
Abstract
Imaging genetics aims to identify genetic variants associated with the structure and function of the human brain. Recently, collaborative consortia have been successful in this goal, identifying and replicating common genetic variants influencing gross human brain structure as measured through magnetic resonance imaging. In this review, we contextualize imaging genetic associations as one important link in understanding the causal chain from genetic variant to increased risk for neuropsychiatric disorders. We provide examples in other fields of how identifying genetic variant associations to disease and multiple phenotypes along the causal chain has revealed a mechanistic understanding of disease risk, with implications for how imaging genetics can be similarly applied. We discuss current findings in the imaging genetics research domain, including that common genetic variants can have a slightly larger effect on brain structure than on risk for disorders like schizophrenia, indicating a somewhat simpler genetic architecture. Also, gross brain structure measurements share a genetic basis with some, but not all, neuropsychiatric disorders, invalidating the previously held belief that they are broad endophenotypes, yet pinpointing brain regions likely involved in the pathology of specific disorders. Finally, we suggest that in order to build a more detailed mechanistic understanding of the effects of genetic variants on the brain, future directions in imaging genetics research will require observations of cellular and synaptic structure in specific brain regions beyond the resolution of magnetic resonance imaging. We expect that integrating genetic associations at biological levels from synapse to sulcus will reveal specific causal pathways impacting risk for neuropsychiatric disorders.
Collapse
Affiliation(s)
- Brandon D. Le
- Department of Genetics & UNC Neuroscience Center, University of North Carolina at Chapel Hill, USA
| | - Jason L. Stein
- Department of Genetics & UNC Neuroscience Center, University of North Carolina at Chapel Hill, USA
| |
Collapse
|