Literature DB >> 27791126

Universality in human cortical folding in health and disease.

Yujiang Wang1, Joe Necus2, Marcus Kaiser3,2, Bruno Mota4.   

Abstract

The folding of the cortex in mammalian brains across species has recently been shown to follow a universal scaling law that can be derived from a simple physics model. However, it was yet to be determined whether this law also applies to the morphological diversity of different individuals in a single species, in particular with respect to factors, such as age, sex, and disease. To this end, we derived and investigated the cortical morphology from magnetic resonance images (MRIs) of over 1,000 healthy human subjects from three independent public databases. Our results show that all three MRI datasets follow the scaling law obtained from the comparative neuroanatomical data, which strengthens the case for the existence of a common mechanism for cortical folding. Additionally, for comparable age groups, both male and female brains scale in exactly the same way, despite systematic differences in size and folding. Furthermore, age introduces a systematic shift in the offset of the scaling law. In the model, this shift can be interpreted as changes in the mechanical forces acting on the cortex. We also applied this analysis to a dataset derived from comparable cohorts of Alzheimer's disease patients and healthy subjects of similar age. We show a systematically lower offset and a possible change in the exponent for Alzheimer's disease subjects compared with the control cohort. Finally, we discuss implications of the changes in offset and exponent in the data and relate it to existing literature. We, thus, provide a possible mechanistic link between previously independent observations.

Entities:  

Keywords:  Alzheimer’s disease; aging; brain morphogenesis; cortical gyrification; folding

Year:  2016        PMID: 27791126      PMCID: PMC5111660          DOI: 10.1073/pnas.1610175113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  38 in total

Review 1.  Update on the magnetic resonance imaging core of the Alzheimer's disease neuroimaging initiative.

Authors:  Clifford R Jack; Matt A Bernstein; Bret J Borowski; Jeffrey L Gunter; Nick C Fox; Paul M Thompson; Norbert Schuff; Gunnar Krueger; Ronald J Killiany; Charles S Decarli; Anders M Dale; Owen W Carmichael; Duygu Tosun; Michael W Weiner
Journal:  Alzheimers Dement       Date:  2010-05       Impact factor: 21.566

2.  Fractal dimension in human cortical surface: multiple regression analysis with cortical thickness, sulcal depth, and folding area.

Authors:  Kiho Im; Jong-Min Lee; Uicheul Yoon; Yong-Wook Shin; Soon Beom Hong; In Young Kim; Jun Soo Kwon; Sun I Kim
Journal:  Hum Brain Mapp       Date:  2006-12       Impact factor: 5.038

3.  Magnetic resonance elastography of the brain.

Authors:  Scott A Kruse; Gregory H Rose; Kevin J Glaser; Armando Manduca; Joel P Felmlee; Clifford R Jack; Richard L Ehman
Journal:  Neuroimage       Date:  2007-08-29       Impact factor: 6.556

4.  Cortical complexity as a measure of age-related brain atrophy.

Authors:  Christopher R Madan; Elizabeth A Kensinger
Journal:  Neuroimage       Date:  2016-04-19       Impact factor: 6.556

5.  Comment on "Cortical folding scales universally with surface area and thickness, not number of neurons".

Authors:  Marc H E de Lussanet
Journal:  Science       Date:  2016-02-19       Impact factor: 47.728

6.  Organizing Principles of Human Cortical Development--Thickness and Area from 4 to 30 Years: Insights from Comparative Primate Neuroanatomy.

Authors:  Inge K Amlien; Anders M Fjell; Christian K Tamnes; Håkon Grydeland; Stine K Krogsrud; Tristan A Chaplin; Marcello G P Rosa; Kristine B Walhovd
Journal:  Cereb Cortex       Date:  2014-09-21       Impact factor: 5.357

7.  Comparison of cortical folding measures for evaluation of developing human brain.

Authors:  Joshua S Shimony; Christopher D Smyser; Graham Wideman; Dimitrios Alexopoulos; Jason Hill; John Harwell; Donna Dierker; David C Van Essen; Terrie E Inder; Jeffrey J Neil
Journal:  Neuroimage       Date:  2015-11-06       Impact factor: 6.556

Review 8.  From genes to folds: a review of cortical gyrification theory.

Authors:  Lisa Ronan; Paul C Fletcher
Journal:  Brain Struct Funct       Date:  2014-12-16       Impact factor: 3.270

9.  Cerebrospinal fluid pressure decreases with older age.

Authors:  David Fleischman; John P Berdahl; Jana Zaydlarova; Sandra Stinnett; Michael P Fautsch; R Rand Allingham
Journal:  PLoS One       Date:  2012-12-26       Impact factor: 3.240

10.  The minimal preprocessing pipelines for the Human Connectome Project.

Authors:  Matthew F Glasser; Stamatios N Sotiropoulos; J Anthony Wilson; Timothy S Coalson; Bruce Fischl; Jesper L Andersson; Junqian Xu; Saad Jbabdi; Matthew Webster; Jonathan R Polimeni; David C Van Essen; Mark Jenkinson
Journal:  Neuroimage       Date:  2013-05-11       Impact factor: 6.556

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  11 in total

1.  White matter volume and white/gray matter ratio in mammalian species as a consequence of the universal scaling of cortical folding.

Authors:  Bruno Mota; Sandra E Dos Santos; Lissa Ventura-Antunes; Débora Jardim-Messeder; Kleber Neves; Rodrigo S Kazu; Stephen Noctor; Kelly Lambert; Mads F Bertelsen; Paul R Manger; Chet C Sherwood; Jon H Kaas; Suzana Herculano-Houzel
Journal:  Proc Natl Acad Sci U S A       Date:  2019-07-08       Impact factor: 11.205

2.  Predicting age from cortical structure across the lifespan.

Authors:  Christopher R Madan; Elizabeth A Kensinger
Journal:  Eur J Neurosci       Date:  2018-02-12       Impact factor: 3.386

3.  Longitudinal Allometry of Sulcal Morphology in Health and Schizophrenia.

Authors:  Joost Janssen; Clara Alloza; Covadonga M Díaz-Caneja; Javier Santonja; Laura Pina-Camacho; Pedro M Gordaliza; Alberto Fernández-Pena; Noemi González Lois; Elizabeth E L Buimer; Neeltje E M van Haren; Wiepke Cahn; Eduard Vieta; Josefina Castro-Fornieles; Miquel Bernardo; Celso Arango; René S Kahn; Hilleke E Hulshoff Pol; Hugo G Schnack
Journal:  J Neurosci       Date:  2022-03-22       Impact factor: 6.167

4.  Creative Destruction: A Basic Computational Model of Cortical Layer Formation.

Authors:  Roman Bauer; Gavin J Clowry; Marcus Kaiser
Journal:  Cereb Cortex       Date:  2021-06-10       Impact factor: 5.357

5.  Advances in Studying Brain Morphology: The Benefits of Open-Access Data.

Authors:  Christopher R Madan
Journal:  Front Hum Neurosci       Date:  2017-08-04       Impact factor: 3.169

6.  Human cortical folding across regions within individual brains follows universal scaling law.

Authors:  Yujiang Wang; Joe Necus; Luis Peraza Rodriguez; Peter Neal Taylor; Bruno Mota
Journal:  Commun Biol       Date:  2019-05-20

Review 7.  Neuroimaging Research on Dementia in Brazil in the Last Decade: Scientometric Analysis, Challenges, and Peculiarities.

Authors:  Liara Rizzi; Ítalo Karmann Aventurato; Marcio L F Balthazar
Journal:  Front Neurol       Date:  2021-03-15       Impact factor: 4.003

8.  Strengths and challenges of longitudinal non-human primate neuroimaging.

Authors:  Xiaowei Song; Pamela García-Saldivar; Nathan Kindred; Yujiang Wang; Hugo Merchant; Adrien Meguerditchian; Yihong Yang; Elliot A Stein; Charles W Bradberry; Suliann Ben Hamed; Hank P Jedema; Colline Poirier
Journal:  Neuroimage       Date:  2021-03-29       Impact factor: 6.556

9.  Differential Diagnosis of Frontotemporal Dementia, Alzheimer's Disease, and Normal Aging Using a Multi-Scale Multi-Type Feature Generative Adversarial Deep Neural Network on Structural Magnetic Resonance Images.

Authors:  Da Ma; Donghuan Lu; Karteek Popuri; Lei Wang; Mirza Faisal Beg
Journal:  Front Neurosci       Date:  2020-10-22       Impact factor: 4.677

10.  Structural Covariance of Cortical Gyrification at Illness Onset in Treatment Resistance: A Longitudinal Study of First-Episode Psychoses.

Authors:  Olesya Ajnakina; Tushar Das; John Lally; Marta Di Forti; Carmine M Pariante; Tiago Reis Marques; Valeria Mondelli; Anthony S David; Robin M Murray; Lena Palaniyappan; Paola Dazzan
Journal:  Schizophr Bull       Date:  2021-10-21       Impact factor: 9.306

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