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York AR, Sherwood CC, Manger PR, Kaas JH, Mota B, Herculano-Houzel S. Folding of the cerebellar cortex is clade-specific in form but universal in degree. J Comp Neurol 2024; 532:e25616. [PMID: 38634526 DOI: 10.1002/cne.25616] [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: 05/17/2023] [Revised: 02/01/2024] [Accepted: 03/26/2024] [Indexed: 04/19/2024]
Abstract
Like the cerebralcortex, the surface of the cerebellum is repeatedly folded. Unlike the cerebralcortex, however, cerebellar folds are much thinner and more numerous; repeatthemselves largely along a single direction, forming accordion-like folds transverseto the mid-sagittal plane; and occur in all but the smallest cerebella. We haveshown previously that while the location of folds in mammalian cerebral cortex isclade-specific, the overall degree of folding strictly follows a universalpower law relating cortical thickness and the exposed and total surface areas predictedfrom the minimization of the effective free energy of an expanding, self-avoidingsurface of a certain thickness. Here we show that this scaling law extends tothe folding of the mid-sagittal sections of the cerebellum of 53 speciesbelonging to six mammalian clades. Simultaneously, we show that each clade hasa previously unsuspected distinctive spatial pattern of folding evident at themid-sagittal surface of the cerebellum. We note, however, that the mammaliancerebellum folds as a multi-fractal object, because of the difference betweenthe outside-in development of the cerebellar cortex around a preexisting coreof already connected white matter, compared to the inside-out development ofthe cerebral cortex with a white matter volume that develops as the cerebralcortex itself gains neurons. We conclude that repeated folding, one of the mostrecognizable features of biology, can arise simply from the interplay betweenthe universal applicability of the physics of self-organization and biological,phylogenetical clade-specific contingency, without the need for invokingselective pressures in evolution.
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Affiliation(s)
- Annaleigh R York
- Department of Psychology, Vanderbilt University, Nashville, Tennessee, USA
| | - Chet C Sherwood
- Department of Anthropology, The George Washington University, Washington, District of Columbia, USA
| | - Paul R Manger
- School of Anatomical Sciences, Faculty of Health Sciences, University of the Witswatersrand, Johannesburg, South Africa
| | - Jon H Kaas
- Department of Psychology, Vanderbilt University, Nashville, Tennessee, USA
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee, USA
| | - Bruno Mota
- Institute of Physics, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Suzana Herculano-Houzel
- Department of Psychology, Vanderbilt University, Nashville, Tennessee, USA
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee, USA
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2
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de Moraes FHP, Sudo F, Carneiro Monteiro M, de Melo BRP, Mattos P, Mota B, Tovar-Moll F. Cortical folding correlates to aging and Alzheimer's Disease's cognitive and CSF biomarkers. Sci Rep 2024; 14:3222. [PMID: 38332140 PMCID: PMC10853184 DOI: 10.1038/s41598-023-50780-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 12/25/2023] [Indexed: 02/10/2024] Open
Abstract
This manuscript presents the quantification and correlation of three aspects of Alzheimer's Disease evolution, including structural, biochemical, and cognitive assessments. We aimed to test a novel structural biomarker for neurodegeneration based on a cortical folding model for mammals. Our central hypothesis is that the cortical folding variable, representative of axonal tension in white matter, is an optimal discriminator of pathological aging and correlates with altered loadings in Cerebrospinal Fluid samples and a decline in cognition and memory. We extracted morphological features from T1w 3T MRI acquisitions using FreeSurfer from 77 Healthy Controls (age = 66 ± 8.4, 69% females), 31 Mild Cognitive Impairment (age = 72 ± 4.8, 61% females), and 13 Alzheimer's Disease patients (age = 77 ± 6.1, 62% females) of recruited volunteers in Brazil to test its discriminative power using optimal cut-point analysis. Cortical folding distinguishes the groups with reasonable accuracy (Healthy Control-Alzheimer's Disease, accuracy = 0.82; Healthy Control-Mild Cognitive Impairment, accuracy = 0.56). Moreover, Cerebrospinal Fluid biomarkers (total Tau, A[Formula: see text]1-40, A[Formula: see text]1-42, and Lipoxin) and cognitive scores (Cognitive Index, Rey's Auditory Verbal Learning Test, Trail Making Test, Digit Span Backward) were correlated with the global neurodegeneration in MRI aiming to describe health, disease, and the transition between the two states using morphology.
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Affiliation(s)
- Fernanda Hansen P de Moraes
- Brain Connectivity Unit, D'Or Institute of Research and Education (IDOR), Rio de Janeiro, 225281-100, Brazil
- Instituto de Física, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, 21941-909, Brazil
| | - Felipe Sudo
- Memory Clinic, D'Or Institute of Research and Education (IDOR), Rio de Janeiro, 225281-100, Brazil
| | - Marina Carneiro Monteiro
- Brain Connectivity Unit, D'Or Institute of Research and Education (IDOR), Rio de Janeiro, 225281-100, Brazil
| | - Bruno R P de Melo
- Brain Connectivity Unit, D'Or Institute of Research and Education (IDOR), Rio de Janeiro, 225281-100, Brazil
| | - Paulo Mattos
- Memory Clinic, D'Or Institute of Research and Education (IDOR), Rio de Janeiro, 225281-100, Brazil
| | - Bruno Mota
- Instituto de Física, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, 21941-909, Brazil
| | - Fernanda Tovar-Moll
- Brain Connectivity Unit, D'Or Institute of Research and Education (IDOR), Rio de Janeiro, 225281-100, Brazil.
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3
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Niu J, Jiao Q, Cui D, Dou R, Guo Y, Yu G, Zhang X, Sun F, Qiu J, Dong L, Cao W. Age-associated cortical similarity networks correlate with cell type-specific transcriptional signatures. Cereb Cortex 2024; 34:bhad454. [PMID: 38037843 DOI: 10.1093/cercor/bhad454] [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: 09/25/2023] [Accepted: 11/07/2023] [Indexed: 12/02/2023] Open
Abstract
Human brain structure shows heterogeneous patterns of change across adults aging and is associated with cognition. However, the relationship between cortical structural changes during aging and gene transcription signatures remains unclear. Here, using structural magnetic resonance imaging data of two separate cohorts of healthy participants from the Cambridge Centre for Aging and Neuroscience (n = 454, 18-87 years) and Dallas Lifespan Brain Study (n = 304, 20-89 years) and a transcriptome dataset, we investigated the link between cortical morphometric similarity network and brain-wide gene transcription. In two cohorts, we found reproducible morphometric similarity network change patterns of decreased morphological similarity with age in cognitive related areas (mainly located in superior frontal and temporal cortices), and increased morphological similarity in sensorimotor related areas (postcentral and lateral occipital cortices). Changes in morphometric similarity network showed significant spatial correlation with the expression of age-related genes that enriched to synaptic-related biological processes, synaptic abnormalities likely accounting for cognitive decline. Transcription changes in astrocytes, microglia, and neuronal cells interpreted most of the age-related morphometric similarity network changes, which suggest potential intervention and therapeutic targets for cognitive decline. Taken together, by linking gene transcription signatures to cortical morphometric similarity network, our findings might provide molecular and cellular substrates for cortical structural changes related to cognitive decline across adults aging.
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Affiliation(s)
- Jinpeng Niu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an 271000, China
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Qing Jiao
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an 271000, China
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Dong Cui
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an 271000, China
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Ruhai Dou
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an 271000, China
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Yongxin Guo
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an 271000, China
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Guanghui Yu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an 271000, China
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Xiaotong Zhang
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Fengzhu Sun
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Jianfeng Qiu
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Li Dong
- 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 610054, China
| | - Weifang Cao
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an 271000, China
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an 271016, China
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4
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Bou Assi E, Schindler K, de Bézenac C, Denison T, Desai S, Keller SS, Lemoine É, Rahimi A, Shoaran M, Rummel C. From basic sciences and engineering to epileptology: A translational approach. Epilepsia 2023; 64 Suppl 3:S72-S84. [PMID: 36861368 DOI: 10.1111/epi.17566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 02/23/2023] [Accepted: 02/28/2023] [Indexed: 03/03/2023]
Abstract
Collaborative efforts between basic scientists, engineers, and clinicians are enabling translational epileptology. In this article, we summarize the recent advances presented at the International Conference for Technology and Analysis of Seizures (ICTALS 2022): (1) novel developments of structural magnetic resonance imaging; (2) latest electroencephalography signal-processing applications; (3) big data for the development of clinical tools; (4) the emerging field of hyperdimensional computing; (5) the new generation of artificial intelligence (AI)-enabled neuroprostheses; and (6) the use of collaborative platforms to facilitate epilepsy research translation. We highlight the promise of AI reported in recent investigations and the need for multicenter data-sharing initiatives.
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Affiliation(s)
- Elie Bou Assi
- Department of Neuroscience, Université de Montréal, Montréal, Canada
- Centre de Recherche du CHUM (CRCHUM), Montréal, Canada
| | - Kaspar Schindler
- Department of Neurology, Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, Bern University, Bern, Switzerland
| | - Christophe de Bézenac
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Timothy Denison
- MRC Brain Network Dynamics Unit, University of Oxford, Oxford, UK
- Department of Engineering Science, University of Oxford, Oxford, UK
| | | | - Simon S Keller
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Émile Lemoine
- Centre de Recherche du CHUM (CRCHUM), Montréal, Canada
- Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, Canada
| | | | - Mahsa Shoaran
- Institute of Electrical and Micro Engineering, Neuro-X Institute, EPFL, Lausanne, Switzerland
| | - Christian Rummel
- Support Center for Advanced Neuroimaging (SCAN), University Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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5
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Leiberg K, de Tisi J, Duncan JS, Little B, Taylor PN, Vos SB, Winston GP, Mota B, Wang Y. Effects of anterior temporal lobe resection on cortical morphology. Cortex 2023; 166:233-242. [PMID: 37399617 DOI: 10.1016/j.cortex.2023.04.018] [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: 01/19/2023] [Revised: 04/11/2023] [Accepted: 04/16/2023] [Indexed: 07/05/2023]
Abstract
Neuroimaging can capture brain restructuring after anterior temporal lobe resection (ATLR), a surgical procedure to treat drug-resistant temporal lobe epilepsy (TLE). Here, we examine the effects of this surgery on brain morphology measured in recently-proposed independent variables. We studied 101 individuals with TLE (55 left, 46 right onset) who underwent ATLR. For each individual we considered one pre-surgical MRI and one follow-up MRI 2-13 months after surgery. We used a surface-based method to locally compute traditional morphological variables, and the independent measures K, I, and S, where K measures white matter tension, I captures isometric scaling, and S contains the remaining information about cortical shape. A normative model trained on data from 924 healthy controls was used to debias the data and account for healthy ageing effects occurring during scans. A SurfStat random field theory clustering approach assessed changes across the cortex caused by ATLR. Compared to preoperative data, surgery had marked effects on all morphological measures. Ipsilateral effects were located in the orbitofrontal and inferior frontal gyri, the pre- and postcentral gyri and supramarginal gyrus, and the lateral occipital gyrus and lingual cortex. Contralateral effects were in the lateral occipital gyrus, and inferior frontal gyrus and frontal pole. The restructuring following ATLR is reflected in widespread morphological changes, mainly in regions near the resection, but also remotely in regions that are structurally connected to the anterior temporal lobe. The causes could include mechanical effects, Wallerian degeneration, or compensatory plasticity. The study of independent measures revealed additional effects compared to traditional measures.
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Affiliation(s)
- Karoline Leiberg
- CNNP Lab (www.cnnp-lab.com), Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.
| | - Jane de Tisi
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
| | - John S Duncan
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK; Chalfont Centre for Epilepsy, Chalfont St Peter, UK
| | - Bethany Little
- CNNP Lab (www.cnnp-lab.com), Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK; Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, United Kingdom
| | - Peter N Taylor
- CNNP Lab (www.cnnp-lab.com), Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK; Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, United Kingdom; Queen Square Institute of Neurology, University College London, Queen Square, London, UK
| | - Sjoerd B Vos
- Queen Square Institute of Neurology, University College London, Queen Square, London, UK; Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL, UK; Centre for Medical Image Computing, University College London, London, UK; Centre for Microscopy, Characterisation, And Analysis, The University of Western Australia, Nedlands, Australia
| | - Gavin P Winston
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK; MRI Unit, Epilepsy Society, Buckinghamshire, UK; Division of Neurology, Department of Medicine, Queen's University, Kingston, Ontario, Canada
| | - Bruno Mota
- MetaBIO Lab, Instituto de Física, Universidade Federal Do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Yujiang Wang
- CNNP Lab (www.cnnp-lab.com), Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK; Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, United Kingdom; Queen Square Institute of Neurology, University College London, Queen Square, London, UK.
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6
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Schmitz-Koep B, Menegaux A, Zimmermann J, Thalhammer M, Neubauer A, Wendt J, Schinz D, Wachinger C, Daamen M, Boecker H, Zimmer C, Priller J, Wolke D, Bartmann P, Sorg C, Hedderich DM. Aberrant allometric scaling of cortical folding in preterm-born adults. Brain Commun 2022; 5:fcac341. [PMID: 36632185 PMCID: PMC9830984 DOI: 10.1093/braincomms/fcac341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 10/24/2022] [Accepted: 12/22/2022] [Indexed: 12/27/2022] Open
Abstract
A universal allometric scaling law has been proposed to describe cortical folding of the mammalian brain as a function of the product of cortical surface area and the square root of cortical thickness across different mammalian species, including humans. Since these cortical properties are vulnerable to developmental disturbances caused by preterm birth in humans and since these alterations are related to cognitive impairments, we tested (i) whether cortical folding in preterm-born adults follows this cortical scaling law and (ii) the functional relevance of potential scaling aberrances. We analysed the cortical scaling relationship in a large and prospectively collected cohort of 91 very premature-born adults (<32 weeks of gestation and/or birthweight <1500 g, very preterm and/or very low birth weight) and 105 full-term controls at 26 years of age based on the total surface area, exposed surface area and average cortical thickness measured with structural magnetic resonance imaging and surface-based morphometry. We found that the slope of the log-transformed cortical scaling relationship was significantly altered in adults (very preterm and/or very low birth weight: 1.24, full-term: 1.14, P = 0.018). More specifically, the slope was significantly altered in male adults (very preterm and/or very low birth weight: 1.24, full-term: 1.00, P = 0.031), while there was no significant difference in the slope of female adults (very preterm and/or very low birth weight: 1.27, full-term: 1.12, P = 0.225). Furthermore, offset was significantly lower compared with full-term controls in both male (very preterm and/or very low birth weight: -0.546, full-term: -0.538, P = 0.001) and female adults (very preterm and/or very low birth weight: -0.545, full-term: -0.538, P = 0.023), indicating a systematic shift of the regression line after preterm birth. Gestational age had a significant effect on the slope in very preterm and/or very low birth weight adults and more specifically in male very preterm and/or very low birth weight adults, indicating that the difference in slope is specifically related to preterm birth. The shape or tension term of the scaling law had no significant effect on cognitive performance, while the size of the cortex did. Results demonstrate altered scaling of cortical surface and cortical thickness in very premature-born adults. Data suggest altered mechanical forces acting on the cortex after preterm birth.
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Affiliation(s)
- Benita Schmitz-Koep
- Correspondence to: Benita Schmitz-Koep, MD Department of Diagnostic and Interventional Neuroradiology Technical University of Munich, School of Medicine Klinikum rechts der Isar, Ismaninger Strasse 22 81675 Munich, Germany E-mail:
| | - Aurore Menegaux
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - Juliana Zimmermann
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - Melissa Thalhammer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - Antonia Neubauer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - Jil Wendt
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - David Schinz
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - Christian Wachinger
- Lab for Artificial Intelligence in Medical Imaging, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - Marcel Daamen
- Functional Neuroimaging Group, Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
- Department of Neonatology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Henning Boecker
- Functional Neuroimaging Group, Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - Josef Priller
- Department of Psychiatry, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - Dieter Wolke
- Department of Psychology, University of Warwick, University Road, Coventry CV4 7AL, UK
- Warwick Medical School, University of Warwick, University Road, Coventry CV4 7AL, UK
| | - Peter Bartmann
- Department of Neonatology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Christian Sorg
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- Department of Psychiatry, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - Dennis M Hedderich
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
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de Moraes FHP, Mello VBB, Tovar-Moll F, Mota B. Establishing a Baseline for Human Cortical Folding Morphological Variables: A Multisite Study. Front Neurosci 2022; 16:897226. [PMID: 35924225 PMCID: PMC9340792 DOI: 10.3389/fnins.2022.897226] [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: 03/15/2022] [Accepted: 06/20/2022] [Indexed: 11/28/2022] Open
Abstract
Differences in the way human cerebral cortices fold have been correlated to health, disease, development, and aging. However, to obtain a deeper understanding of the mechanisms that generate such differences, it is useful to derive one's morphometric variables from the first principles. This study explores one such set of variables that arise naturally from a model for universal self-similar cortical folding that was validated on comparative neuroanatomical data. We aim to establish a baseline for these variables across the human lifespan using a heterogeneous compilation of cross-sectional datasets as the first step to extending the model to incorporate the time evolution of brain morphology. We extracted the morphological features from structural MRI of 3,650 subjects: 3,095 healthy controls (CTL) and 555 patients with Alzheimer's Disease (AD) from 9 datasets, which were harmonized with a straightforward procedure to reduce the uncertainty due to heterogeneous acquisition and processing. The unprecedented possibility of analyzing such a large number of subjects in this framework allowed us to compare CTL and AD subjects' lifespan trajectories, testing if AD is a form of accelerated aging at the brain structural level. After validating this baseline from development to aging, we estimate the variables' uncertainties and show that Alzheimer's Disease is similar to premature aging when measuring global and local degeneration. This new methodology may allow future studies to explore the structural transition between healthy and pathological aging and may be essential to generate data for the cortical folding process simulations.
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Affiliation(s)
- Fernanda H. P. de Moraes
- Brain Connectivity Unit, Instituto D'Or de Pesquisa e Ensino, Rio de Janeiro, Brazil
- *Correspondence: Fernanda Tovar-Moll
| | - Victor B. B. Mello
- metaBIO, Instituto de Física, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Fernanda Tovar-Moll
- Brain Connectivity Unit, Instituto D'Or de Pesquisa e Ensino, Rio de Janeiro, Brazil
- Fernanda H. P. de Moraes
| | - Bruno Mota
- metaBIO, Instituto de Física, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
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8
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Owen TW, de Tisi J, Vos SB, Winston GP, Duncan JS, Wang Y, Taylor PN. Multivariate white matter alterations are associated with epilepsy duration. Eur J Neurosci 2021; 53:2788-2803. [PMID: 33222308 PMCID: PMC8246988 DOI: 10.1111/ejn.15055] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 11/12/2020] [Accepted: 11/15/2020] [Indexed: 01/08/2023]
Abstract
Previous studies investigating associations between white matter alterations and duration of temporal lobe epilepsy (TLE) have shown differing results, and were typically limited to univariate analyses of tracts in isolation. In this study, we apply a multivariate measure (the Mahalanobis distance), which captures the distinct ways white matter may differ in individual patients, and relate this to epilepsy duration. Diffusion MRI, from a cohort of 94 subjects (28 healthy controls, 33 left-TLE and 33 right-TLE), was used to assess the association between tract fractional anisotropy (FA) and epilepsy duration. Using ten white matter tracts, we analysed associations using the traditional univariate analysis (z-scores) and a complementary multivariate approach (Mahalanobis distance), incorporating multiple white matter tracts into a single unified analysis. For patients with right-TLE, FA was not significantly associated with epilepsy duration for any tract studied in isolation. For patients with left-TLE, the FA of two limbic tracts (ipsilateral fornix, contralateral cingulum gyrus) were significantly negatively associated with epilepsy duration (Bonferonni corrected p < .05). Using a multivariate approach we found significant ipsilateral positive associations with duration in both left, and right-TLE cohorts (left-TLE: Spearman's ρ = 0.487, right-TLE: Spearman's ρ = 0.422). Extrapolating our multivariate results to duration equals zero (i.e., at onset) we found no significant difference between patients and controls. Associations using the multivariate approach were more robust than univariate methods. The multivariate Mahalanobis distance measure provides non-overlapping and more robust results than traditional univariate analyses. Future studies should consider adopting both frameworks into their analysis in order to ascertain a more complete understanding of epilepsy progression, regardless of laterality.
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Affiliation(s)
- Thomas W. Owen
- CNNP Lab, Interdisciplinary Computing and Complex BioSystems GroupSchool of ComputingNewcastle UniversityNewcastle upon TyneUK
| | - Jane de Tisi
- NIHR University College London Hospitals Biomedical Research CentreUCL Institute of NeurologyQueen SquareLondonUK
| | - Sjoerd B. Vos
- Centre for Medical Image ComputingUniversity College LondonLondonUK
- Epilepsy Society MRI UnitChalfont St PeterUK
- Neuroradiological Academic UnitUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - Gavin P. Winston
- NIHR University College London Hospitals Biomedical Research CentreUCL Institute of NeurologyQueen SquareLondonUK
- Epilepsy Society MRI UnitChalfont St PeterUK
- Department of MedicineDivision of NeurologyQueen's UniversityKingstonCanada
| | - John S Duncan
- NIHR University College London Hospitals Biomedical Research CentreUCL Institute of NeurologyQueen SquareLondonUK
- Epilepsy Society MRI UnitChalfont St PeterUK
| | - Yujiang Wang
- CNNP Lab, Interdisciplinary Computing and Complex BioSystems GroupSchool of ComputingNewcastle UniversityNewcastle upon TyneUK
- NIHR University College London Hospitals Biomedical Research CentreUCL Institute of NeurologyQueen SquareLondonUK
- Faculty of Medical SciencesNewcastle UniversityNewcastle upon TyneUK
| | - Peter N. Taylor
- CNNP Lab, Interdisciplinary Computing and Complex BioSystems GroupSchool of ComputingNewcastle UniversityNewcastle upon TyneUK
- NIHR University College London Hospitals Biomedical Research CentreUCL Institute of NeurologyQueen SquareLondonUK
- Faculty of Medical SciencesNewcastle UniversityNewcastle upon TyneUK
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Overs BJ, Lenroot RK, Roberts G, Green MJ, Toma C, Hadzi-Pavlovic D, Pierce KD, Schofield PR, Mitchell PB, Fullerton JM. Cortical mediation of relationships between dopamine receptor D2 and cognition is absent in youth at risk of bipolar disorder. Psychiatry Res Neuroimaging 2021; 309:111258. [PMID: 33529975 DOI: 10.1016/j.pscychresns.2021.111258] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 12/11/2020] [Accepted: 01/26/2021] [Indexed: 11/18/2022]
Abstract
Bipolar disorder is associated with cognitive deficits and cortical changes for which the developmental dynamics are not well understood. The dopamine D2 receptor (DRD2) gene has been associated with both psychiatric disorders and cognitive variability. Here we examined the mediating role of brain structure in the relationship between DRD2 genomic variation and cognitive performance, with target cortical regions selected based on evidence of association with DRD2, bipolar disorder and/or cognition from prior literature. Participants (n = 143) were aged 12-30 years and comprised 62 first-degree relatives of bipolar patients (deemed 'at-risk'), 55 controls, and 26 patients with established bipolar disorder; all were unrelated Caucasian individuals with complete data across the three required modalities (structural magnetic resonance imaging, neuropsychological and genetic data). A DRD2 haplotype was derived from three functional polymorphisms (rs1800497, rs1076560, rs2283265) associated with alternative splicing (i.e., D2-short/-long isoforms). Moderated mediation analyses explored group differences in relationships between this DRD2 haplotype, three structural brain networks which subsume the identified cortical regions of interest (frontoparietal, dorsal-attention, and ventral-attention), and three cognitive indices (intelligence, attention, and immediate memory). Controls who were homozygous for the DRD2 major haplotype demonstrated greater cognitive performance as a result of dorsal-attention network mediation. However, this association was absent in the 'at-risk' group. This study provides the first evidence of a functional DRD2-brain-cognition pathway. The absence of typical brain-cognition relationships in young 'at-risk' individuals may reflect biological differences that precede illness onset. Further insight into early pathogenic processes may facilitate targeted early interventions.
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Affiliation(s)
- Bronwyn J Overs
- Neuroscience Research Australia, New South Wales, Randwick, Australia
| | - Rhoshel K Lenroot
- Neuroscience Research Australia, New South Wales, Randwick, Australia; School of Psychiatry, University of New South Wales, New South Wales, Kensington, Australia
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, New South Wales, Kensington, Australia
| | - Melissa J Green
- Neuroscience Research Australia, New South Wales, Randwick, Australia; School of Psychiatry, University of New South Wales, New South Wales, Kensington, Australia
| | - Claudio Toma
- Neuroscience Research Australia, New South Wales, Randwick, Australia; School of Medical Sciences, University of New South Wales, New South Wales, Kensington, Australia
| | - Dusan Hadzi-Pavlovic
- School of Psychiatry, University of New South Wales, New South Wales, Kensington, Australia
| | - Kerrie D Pierce
- Neuroscience Research Australia, New South Wales, Randwick, Australia
| | - Peter R Schofield
- Neuroscience Research Australia, New South Wales, Randwick, Australia; School of Medical Sciences, University of New South Wales, New South Wales, Kensington, Australia
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, New South Wales, Kensington, Australia
| | - Janice M Fullerton
- Neuroscience Research Australia, New South Wales, Randwick, Australia; School of Medical Sciences, University of New South Wales, New South Wales, Kensington, Australia.
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