Cortical complexity estimation using fractal dimension: A systematic review of the literature on clinical and nonclinical samples
Fractal geometry has recently been proposed as a useful tool for characterizing the complexity of the brain cortex, which is likely to derive from the recurrence of sulci–gyri convolution patterns. The index used to describe the cortical complexity is called fractal dimensional (FD) and was employed...
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| Published in | The European journal of neuroscience Vol. 55; no. 6; pp. 1547 - 1583 |
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| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
France
Wiley Subscription Services, Inc
01.03.2022
John Wiley and Sons Inc |
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| Online Access | Get full text |
| ISSN | 0953-816X 1460-9568 1460-9568 |
| DOI | 10.1111/ejn.15631 |
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| Abstract | Fractal geometry has recently been proposed as a useful tool for characterizing the complexity of the brain cortex, which is likely to derive from the recurrence of sulci–gyri convolution patterns. The index used to describe the cortical complexity is called fractal dimensional (FD) and was employed by different research exploring the neurobiological correlates of distinct pathological and nonpathological conditions. This review aims to describe the literature on the application of this index, summarize the heterogeneities between studies and inform future research on this topic. Sixty‐two studies were included in the systematic review. The main research lines concern neurodevelopment, aging and the neurobiology of specific psychiatric and neurological disorders. Overall, the included papers indicate that cortical complexity is likely to reduce during aging and in various pathological processes affecting the brain. Nevertheless, the high heterogeneity between studies strongly prevents the possibility of drawing conclusions. Further research considering this index besides other morphological values is needed to better clarify the role of FD in characterizing the cortical structure.
Fractal dimension (FD) is a useful tool for the assessment of cortical complexity. In healthy controls, FD is associated with development, aging and cognition. Alterations in FD have been observed in different neurological and psychiatric disorders. |
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| AbstractList | Fractal geometry has recently been proposed as a useful tool for characterizing the complexity of the brain cortex, which is likely to derive from the recurrence of sulci-gyri convolution patterns. The index used to describe the cortical complexity is called fractal dimensional (FD) and was employed by different research exploring the neurobiological correlates of distinct pathological and nonpathological conditions. This review aims to describe the literature on the application of this index, summarize the heterogeneities between studies and inform future research on this topic. Sixty-two studies were included in the systematic review. The main research lines concern neurodevelopment, aging and the neurobiology of specific psychiatric and neurological disorders. Overall, the included papers indicate that cortical complexity is likely to reduce during aging and in various pathological processes affecting the brain. Nevertheless, the high heterogeneity between studies strongly prevents the possibility of drawing conclusions. Further research considering this index besides other morphological values is needed to better clarify the role of FD in characterizing the cortical structure.Fractal geometry has recently been proposed as a useful tool for characterizing the complexity of the brain cortex, which is likely to derive from the recurrence of sulci-gyri convolution patterns. The index used to describe the cortical complexity is called fractal dimensional (FD) and was employed by different research exploring the neurobiological correlates of distinct pathological and nonpathological conditions. This review aims to describe the literature on the application of this index, summarize the heterogeneities between studies and inform future research on this topic. Sixty-two studies were included in the systematic review. The main research lines concern neurodevelopment, aging and the neurobiology of specific psychiatric and neurological disorders. Overall, the included papers indicate that cortical complexity is likely to reduce during aging and in various pathological processes affecting the brain. Nevertheless, the high heterogeneity between studies strongly prevents the possibility of drawing conclusions. Further research considering this index besides other morphological values is needed to better clarify the role of FD in characterizing the cortical structure. Fractal geometry has recently been proposed as a useful tool for characterizing the complexity of the brain cortex, which is likely to derive from the recurrence of sulci–gyri convolution patterns. The index used to describe the cortical complexity is called fractal dimensional (FD) and was employed by different research exploring the neurobiological correlates of distinct pathological and nonpathological conditions. This review aims to describe the literature on the application of this index, summarize the heterogeneities between studies and inform future research on this topic. Sixty‐two studies were included in the systematic review. The main research lines concern neurodevelopment, aging and the neurobiology of specific psychiatric and neurological disorders. Overall, the included papers indicate that cortical complexity is likely to reduce during aging and in various pathological processes affecting the brain. Nevertheless, the high heterogeneity between studies strongly prevents the possibility of drawing conclusions. Further research considering this index besides other morphological values is needed to better clarify the role of FD in characterizing the cortical structure. Fractal geometry has recently been proposed as a useful tool for characterizing the complexity of the brain cortex, which is likely to derive from the recurrence of sulci–gyri convolution patterns. The index used to describe the cortical complexity is called fractal dimensional (FD) and was employed by different research exploring the neurobiological correlates of distinct pathological and nonpathological conditions. This review aims to describe the literature on the application of this index, summarize the heterogeneities between studies and inform future research on this topic. Sixty‐two studies were included in the systematic review. The main research lines concern neurodevelopment, aging and the neurobiology of specific psychiatric and neurological disorders. Overall, the included papers indicate that cortical complexity is likely to reduce during aging and in various pathological processes affecting the brain. Nevertheless, the high heterogeneity between studies strongly prevents the possibility of drawing conclusions. Further research considering this index besides other morphological values is needed to better clarify the role of FD in characterizing the cortical structure. Fractal dimension (FD) is a useful tool for the assessment of cortical complexity. In healthy controls, FD is associated with development, aging and cognition. Alterations in FD have been observed in different neurological and psychiatric disorders. |
| Author | Trevisan, Nicolò Meneguzzo, Paolo Collantoni, Enrico Miola, Alessandro Sambataro, Fabio Madan, Christopher R. Meregalli, Valentina Favaro, Angela Alberti, Francesco |
| AuthorAffiliation | 1 Department of Neurosciences University of Padua Padova Italy 3 School of Psychology University of Nottingham Nottingham UK 2 Padua Neuroscience Center University of Padua Padova Italy |
| AuthorAffiliation_xml | – name: 1 Department of Neurosciences University of Padua Padova Italy – name: 2 Padua Neuroscience Center University of Padua Padova Italy – name: 3 School of Psychology University of Nottingham Nottingham UK |
| Author_xml | – sequence: 1 givenname: Valentina orcidid: 0000-0003-0016-1237 surname: Meregalli fullname: Meregalli, Valentina email: valentina.meregalli@studenti.unipd.it organization: University of Padua – sequence: 2 givenname: Francesco orcidid: 0000-0001-5732-8224 surname: Alberti fullname: Alberti, Francesco organization: University of Padua – sequence: 3 givenname: Christopher R. orcidid: 0000-0003-3228-6501 surname: Madan fullname: Madan, Christopher R. organization: University of Nottingham – sequence: 4 givenname: Paolo orcidid: 0000-0003-3323-6071 surname: Meneguzzo fullname: Meneguzzo, Paolo organization: University of Padua – sequence: 5 givenname: Alessandro orcidid: 0000-0002-2513-2718 surname: Miola fullname: Miola, Alessandro organization: University of Padua – sequence: 6 givenname: Nicolò orcidid: 0000-0003-4486-0718 surname: Trevisan fullname: Trevisan, Nicolò organization: University of Padua – sequence: 7 givenname: Fabio orcidid: 0000-0003-2102-416X surname: Sambataro fullname: Sambataro, Fabio organization: University of Padua – sequence: 8 givenname: Angela orcidid: 0000-0002-6540-5194 surname: Favaro fullname: Favaro, Angela organization: University of Padua – sequence: 9 givenname: Enrico orcidid: 0000-0002-6730-1778 surname: Collantoni fullname: Collantoni, Enrico organization: University of Padua |
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| Cites_doi | 10.1006/nimg.1998.0395 10.1371/journal.pmed.1003583 10.1016/j.bbr.2019.111911 10.3390/brainsci11030371 10.1038/s41598-020-73961-w 10.1016/j.neurobiolaging.2020.10.023 10.1017/S0033291700027926 10.1007/S11682-017-9784-X 10.1016/j.psychres.2020.112834 10.1016/S0925-4927(01)00091-9 10.1002/hbm.23773 10.1155/2020/7364649 10.18632/aging.103402 10.1016/j.jns.2008.12.023 10.1073/pnas.200033797 10.3233/jad-200102 10.1016/j.neuroimage.2013.06.072 10.1093/cercor/bhl109 10.1177/1073858413513928 10.1186/s40708-019-0098-1 10.1371/journal.pone.0196964 10.1093/cercor/bhs231 10.1111/jon.12534 10.1016/j.neuroimage.2016.04.029 10.1002/hbm.24599 10.1016/j.pscychresns.2021.111350 10.1111/ejn.15039 10.1002/hbm.20238 10.1016/j.jneumeth.2008.04.018 10.1126/science.156.3775.636 10.1016/j.neuroimage.2011.02.007 10.1016/j.nicl.2016.11.007 10.21037/atm-20-5845 10.1097/wnr.0000000000001448 10.1016/j.pscychresns.2017.02.007 10.1007/S40708-016-0060-4 10.1016/j.compmedimag.2007.10.005 10.1016/j.neulet.2008.04.022 10.3390/brainsci11010107 10.1016/j.neuroimage.2019.116438 10.1002/erv.2685 10.1016/j.neuroimage.2011.06.041 10.1523/jneurosci.0165-05.2005 10.1016/j.neurobiolaging.2020.02.023 10.1093/cercor/6.6.830 10.1109/tmi.2007.903576 10.1159/000117155 10.3389/fpsyt.2020.594466 10.3389/fnagi.2017.00405 10.1016/j.schres.2022.01.037 10.3233/jad-200246 10.1016/j.nicl.2019.101990 10.1016/j.nicl.2019.101913 10.1007/S11071-009-9515-Y 10.1007/s00406-019-01033-w 10.1016/j.neuroimage.2012.03.088 10.1016/j.pscychresns.2020.111069 10.1016/j.schres.2021.03.004 10.1176/appi.ajp.158.2.244 10.1155/2020/1521679 10.1016/j.neulet.2005.04.078 10.1016/S1053-8119(03)00380-X 10.1177/1073858413513927 10.1017/S0033291721001082 10.1371/journal.pone.0118828 10.1007/s11682-008-9057-9 10.7717/peerj.5176 10.1186/1744-9081-10-44 10.3390/jcm9030833 10.31887/dcns.2018.20.4/fthibaut 10.1016/j.neuroimage.2010.06.050 10.1088/0031-9155/60/4/1697 10.1002/hbm.22283 10.1111/ejn.13835 |
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| Keywords | cortical complexity fractal dimension cortical structure MRI |
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| References | 2012; 61 2010; 53 2017; 4 2013; 23 2020; 285 1995; 35 2019; 369 1967; 156 1994; 24 2008; 32 2020; 12 2011; 56 2020; 11 2011; 58 2020; 10 2001; 107 2020; 208 2017; 9 2018; 47 2014; 20 2005; 25 2020; 8 2018; 6 2022; 241 2009; 58 2005; 384 2017; 38 2006; 27 2019; 24 2019; 23 2020; 91 2008; 27 2020; 9 2021; 316 2000; 97 2019; 27 2008; 438 2020; 299 2009; 282 2021; 231 2007; 21 2019; 270 1996; 6 2014; 10 2007; 17 2018; 28 2019; 6 1991; 32 2013; 83 2015; 10 2020; 76 2018; 20 1999; 9 2021; 98 2021; 53 2020; 2020 2019; 40 2021; 11 2020; 31 2015; 60 2021 2021; 18 2017; 13 2015; 21 2017; 12 2016; 134 2014; 35 2017; 263 2009; 3 2003; 20 2001; 158 2008; 172 2018; 13 e_1_2_10_23_1 e_1_2_10_46_1 e_1_2_10_69_1 e_1_2_10_21_1 e_1_2_10_44_1 e_1_2_10_42_1 e_1_2_10_40_1 e_1_2_10_70_1 e_1_2_10_2_1 e_1_2_10_72_1 e_1_2_10_4_1 e_1_2_10_74_1 e_1_2_10_53_1 e_1_2_10_6_1 e_1_2_10_16_1 e_1_2_10_39_1 e_1_2_10_76_1 e_1_2_10_55_1 e_1_2_10_8_1 e_1_2_10_14_1 e_1_2_10_37_1 e_1_2_10_57_1 Kalmanti E. (e_1_2_10_25_1) 2007; 21 e_1_2_10_58_1 e_1_2_10_13_1 e_1_2_10_34_1 e_1_2_10_11_1 e_1_2_10_32_1 e_1_2_10_30_1 e_1_2_10_51_1 e_1_2_10_61_1 e_1_2_10_29_1 e_1_2_10_63_1 e_1_2_10_27_1 e_1_2_10_65_1 e_1_2_10_48_1 e_1_2_10_67_1 e_1_2_10_24_1 e_1_2_10_45_1 e_1_2_10_22_1 e_1_2_10_43_1 e_1_2_10_20_1 e_1_2_10_41_1 e_1_2_10_71_1 e_1_2_10_73_1 e_1_2_10_52_1 e_1_2_10_3_1 e_1_2_10_19_1 e_1_2_10_75_1 e_1_2_10_54_1 e_1_2_10_5_1 e_1_2_10_17_1 e_1_2_10_38_1 e_1_2_10_77_1 e_1_2_10_56_1 e_1_2_10_7_1 e_1_2_10_15_1 e_1_2_10_36_1 e_1_2_10_12_1 e_1_2_10_35_1 e_1_2_10_9_1 e_1_2_10_59_1 e_1_2_10_10_1 Hofman M. A. (e_1_2_10_18_1) 1991; 32 e_1_2_10_33_1 e_1_2_10_31_1 e_1_2_10_50_1 e_1_2_10_60_1 e_1_2_10_62_1 e_1_2_10_64_1 e_1_2_10_28_1 e_1_2_10_49_1 e_1_2_10_66_1 e_1_2_10_26_1 e_1_2_10_47_1 e_1_2_10_68_1 |
| References_xml | – volume: 10 start-page: 1 year: 2014 end-page: 9 article-title: Post‐adolescent developmental changes in cortical complexity publication-title: Behavioral and Brain Functions – volume: 10 year: 2015 article-title: Change in the cortical complexity of spinocerebellar ataxia type 3 appears earlier than clinical symptoms publication-title: PLoS ONE – volume: 158 start-page: 244 year: 2001 end-page: 255 article-title: Three‐dimensional mapping of gyral shape and cortical surface asymmetries in schizophrenia: Gender effects publication-title: The American Journal of Psychiatry – volume: 13 start-page: 97 year: 2017 end-page: 105 article-title: CAG repeat length does not associate with the rate of cerebellar degeneration in spinocerebellar ataxia type 3 publication-title: NeuroImage: Clinical – volume: 97 start-page: 11050 year: 2000 end-page: 11055 article-title: Measuring the thickness of the human cerebral cortex from magnetic resonance images publication-title: Proceedings of the National Academy of Sciences of the United States of America – volume: 25 start-page: 4146 year: 2005 end-page: 4158 article-title: Abnormal cortical complexity and thickness profiles mapped in Williams syndrome publication-title: The Journal of Neuroscience – volume: 56 start-page: 961 year: 2011 end-page: 973 article-title: Local cortical surface complexity maps from spherical harmonic reconstructions publication-title: NeuroImage – volume: 384 start-page: 172 year: 2005 end-page: 176 article-title: Fractal dimension of cerebral cortical surface in schizophrenia and obsessive–compulsive disorder publication-title: Neuroscience Letters – volume: 4 start-page: 107 year: 2017 end-page: 121 article-title: Test–retest reliability of brain morphology estimates publication-title: Brain Informatics – volume: 10 start-page: 1 year: 2020 end-page: 12 article-title: Toward a more reliable characterization of fractal properties of the cerebral cortex of healthy subjects during the lifespan publication-title: Scientific Reports – volume: 60 start-page: 1697 year: 2015 end-page: 1716 article-title: Fractal analysis of MRI data for the characterization of patients with schizophrenia and bipolar disorder publication-title: Physics in Medicine and Biology – volume: 13 year: 2018 article-title: Reduced structural complexity of the right cerebellar cortex in male children with autism spectrum disorder publication-title: PLoS ONE – volume: 9 start-page: 179 year: 1999 end-page: 194 article-title: Cortical surface‐based analysis: I. Segmentation and surface reconstruction publication-title: NeuroImage – volume: 27 start-page: 994 year: 2006 end-page: 1003 article-title: Fractal dimension in human cortical surface: Multiple regression analysis with cortical thickness, sulcal depth, and folding area publication-title: Human Brain Mapping – volume: 31 start-page: 565 year: 2020 end-page: 570 article-title: Cortical complexity and gyrification patterns in Parkinson's disease publication-title: Neuroreport – volume: 438 start-page: 80 year: 2008 end-page: 84 article-title: Sex‐differences in grey–white matter structure in normal‐reading and dyslexic adolescents publication-title: Neuroscience Letters – start-page: 1 year: 2021 end-page: 12 article-title: Effects of polygenic risk for major mental disorders and cross‐disorder on cortical complexity publication-title: Psychological Medicine – volume: 32 start-page: 150 year: 2008 end-page: 158 article-title: Fractal dimension analysis of MR images reveals grey matter structure irregularities in schizophrenia publication-title: Computerized Medical Imaging and Graphics – volume: 35 start-page: 327 year: 1995 end-page: 335 article-title: Fractal description of cerebral cortical patterns in frontal lobe epilepsy publication-title: European Neurology – volume: 76 start-page: 643 year: 2020 end-page: 656 article-title: Quantifying age‐associated cortical complexity of left dorsolateral prefrontal cortex with multiscale measurements publication-title: Journal of Alzheimer's Disease – volume: 11 year: 2020 article-title: Cortical complexity in people at ultra‐high‐risk for psychosis moderated by childhood trauma publication-title: Frontiers in Psychiatry – volume: 76 start-page: 331 year: 2020 end-page: 340 article-title: Cortical complexity analyses and their cognitive correlate in Alzheimer's disease and frontotemporal dementia publication-title: Journal of Alzheimer's Disease – volume: 23 start-page: 2521 issue: 11 year: 2013 end-page: 2530 article-title: The structure of the cerebral cortex across adult life: Age‐related patterns of surface area, thickness, and gyrification publication-title: Cerebral Cortex – volume: 20 start-page: 1765 year: 2003 end-page: 1774 article-title: Is the brain cortex a fractal? publication-title: NeuroImage – volume: 38 start-page: 5905 year: 2017 end-page: 5918 article-title: Complexity analysis of cortical surface detects changes in future Alzheimer's disease converters publication-title: Human Brain Mapping – volume: 23 year: 2019 article-title: Cortical neurodevelopment in pre‐manifest Huntington's disease publication-title: NeuroImage: Clinical – volume: 17 start-page: 2007 year: 2007 end-page: 2018 article-title: Reduced neocortical thickness and complexity mapped in mesial temporal lobe epilepsy with hippocampal sclerosis publication-title: Cerebral Cortex – volume: 134 start-page: 617 year: 2016 end-page: 629 article-title: Cortical complexity as a measure of age‐related brain atrophy publication-title: NeuroImage – volume: 98 start-page: 185 year: 2021 end-page: 196 article-title: Structural complexity is negatively associated with brain activity: A novel multimodal test of compensation theories of aging publication-title: Neurobiology of Aging – volume: 21 start-page: 641 issue: 4 year: 2007 end-page: 646 article-title: Fractal dimension as an index of brain cortical changes throughout life publication-title: In Vivo (Brooklyn) – volume: 53 start-page: 471 year: 2010 end-page: 479 article-title: Fractal dimension analysis of the cortical ribbon in mild Alzheimer's disease publication-title: NeuroImage – volume: 32 start-page: 103 year: 1991 end-page: 111 article-title: The fractal geometry of convoluted brains publication-title: Journal für Hirnforschung – volume: 6 year: 2018 article-title: Age differences in head motion and estimates of cortical morphology publication-title: PeerJ – volume: 208 year: 2020 article-title: An analysis of MRI derived cortical complexity in premature‐born adults: Regional patterns, risk factors, and potential significance publication-title: NeuroImage – volume: 172 start-page: 122 year: 2008 end-page: 130 article-title: A robust and accurate algorithm for estimating the complexity of the cortical surface publication-title: Journal of Neuroscience Methods – volume: 11 year: 2021 article-title: Corticospinal tract and related Grey matter morphometric shape analysis in ALS phenotypes: A fractal dimension study publication-title: Brain Sciences – volume: 28 start-page: 688 year: 2018 end-page: 693 article-title: Structural complexity of the cerebellum and cerebral cortex is reduced in spinocerebellar ataxia type 2 publication-title: Journal of Neuroimaging – volume: 20 start-page: 251 issue: 4 year: 2018 end-page: 252 article-title: Psychiatric disorders: Neurodevelopmental disorders, neurodegenerative disorders, or both? publication-title: Dialogues in Clinical Neuroscience – volume: 83 start-page: 646 year: 2013 end-page: 657 article-title: Robust estimation of fractal measures for characterizing the structural complexity of the human brain: Optimization and reproducibility publication-title: NeuroImage – volume: 282 start-page: 67 year: 2009 end-page: 71 article-title: Fractal dimension analysis of grey matter in multiple sclerosis publication-title: Journal of the Neurological Sciences – volume: 91 start-page: 26 year: 2020 end-page: 35 article-title: Differential longitudinal changes in structural complexity and volumetric measures in community‐dwelling older individuals publication-title: Neurobiology of Aging – volume: 18 year: 2021 article-title: The PRISMA 2020 statement: An updated guideline for reporting systematic reviews publication-title: PLoS Medicine – volume: 20 start-page: 403 year: 2014 end-page: 417 article-title: Fractals in the neurosciences, part I: General principles and basic neurosciences publication-title: The Neuroscientist – volume: 3 start-page: 154 year: 2009 end-page: 166 article-title: Characterization of atrophic changes in the cerebral cortex using fractal dimensional analysis publication-title: Brain Imaging and Behavior – volume: 27 start-page: 161 year: 2008 end-page: 170 article-title: A surface‐based approach to quantify local cortical gyrification publication-title: IEEE Transactions on Medical Imaging – volume: 47 start-page: 399 year: 2018 end-page: 416 article-title: Predicting age from cortical structure across the lifespan publication-title: The European Journal of Neuroscience – volume: 12 start-page: 13147 issue: 13 year: 2020 end-page: 13159 article-title: Articulation rehabilitation induces cortical plasticity in adults with non‐syndromic cleft lip and palate publication-title: Aging (Albany NY) – volume: 241 start-page: 92 year: 2022 end-page: 93 article-title: Cortical folding complexity is distinctively altered in schizophrenia and bipolar disorder publication-title: Schizophrenia Research – volume: 231 start-page: 54 year: 2021 end-page: 60 article-title: A neurodevelopmental signature of parkinsonism in schizophrenia publication-title: Schizophrenia Research – volume: 156 start-page: 636 year: 1967 end-page: 638 article-title: How long is the coast of Britain? Statistical self‐similarity and fractional dimension publication-title: Science (80‐.) – volume: 263 start-page: 44 year: 2017 end-page: 47 article-title: Cortical complexity in bipolar disorder applying a spherical harmonics approach publication-title: Psychiatry Research: Neuroimaging – volume: 11 year: 2021 article-title: Using fractal dimension analysis with the Desikan–Killiany atlas to assess the effects of normal aging on subregional cortex alterations in adulthood publication-title: Brain Sciences – volume: 35 start-page: 1691 year: 2014 end-page: 1699 article-title: Cortical surface complexity in frontal and temporal areas varies across subgroups of schizophrenia publication-title: Human Brain Mapping – volume: 8 year: 2020 article-title: Surface‐based morphometry study of the brain in benign childhood epilepsy with centrotemporal spikes publication-title: Annals of Translational Medicine – volume: 2020 year: 2020 article-title: Brain cortical complexity alteration in amyotrophic lateral sclerosis: A preliminary fractal dimensionality study publication-title: BioMed Research International – volume: 316 year: 2021 article-title: Sulcal characteristics patterns and gyrification gradient at different stages of anorexia nervosa: A structural MRI evaluation publication-title: Psychiatry Research: Neuroimaging – volume: 24 year: 2019 article-title: Fractal dimension of cerebral white matter: A consistent feature for prediction of the cognitive performance in patients with small vessel disease and mild cognitive impairment publication-title: NeuroImage: Clinical – volume: 107 start-page: 29 year: 2001 end-page: 43 article-title: Mapping cortical asymmetry and complexity patterns in normal children publication-title: Psychiatry Research: Neuroimaging – volume: 24 start-page: 771 year: 1994 end-page: 781 article-title: Fractal analysis of the boundary between white matter and cerebral cortex in magnetic resonance images: A controlled study of schizophrenic and manic‐depressive patients publication-title: Psychological Medicine – volume: 61 start-page: 694 year: 2012 end-page: 701 article-title: Brain structural complexity and life course cognitive change publication-title: NeuroImage – volume: 27 start-page: 655 year: 2019 end-page: 670 article-title: Altered cortical folding and reduced sulcal depth in adults with anorexia nervosa publication-title: European Eating Disorders Review – volume: 369 year: 2019 article-title: A search for cortical correlates of trait impulsivity in Parkinson's disease publication-title: Behavioural Brain Research – volume: 9 year: 2020 article-title: Cortical complexity in anorexia nervosa: A fractal dimension analysis publication-title: Journal of Clinical Medicine – volume: 9 year: 2017 article-title: Differential effects of the factor structure of the Wechsler Memory Scale‐revised on the cortical thickness and complexity of patients aged over 75 years in a memory clinic setting publication-title: Frontiers in Aging Neuroscience – volume: 40 start-page: 3299 year: 2019 end-page: 3320 article-title: Evaluation of the 3D fractal dimension as a marker of structural brain complexity in multiple‐acquisition MRI publication-title: Human Brain Mapping – volume: 53 start-page: 1661 year: 2021 end-page: 1671 article-title: Age‐related decrements in cortical gyrification: Evidence from an accelerated longitudinal dataset publication-title: The European Journal of Neuroscience – volume: 58 start-page: 745 year: 2009 end-page: 752 article-title: Using three‐dimensional fractal dimension to analyze the complexity of fetal cortical surface from magnetic resonance images publication-title: Nonlinear Dynamics – volume: 285 year: 2020 article-title: Left cerebral cortex complexity differences in sporadic healthy individuals with auditory verbal hallucinations: A pilot study publication-title: Psychiatry Research – volume: 270 start-page: 253 year: 2019 end-page: 261 article-title: Exploring cortical predictors of clinical response to electroconvulsive therapy in major depression publication-title: European Archives of Psychiatry and Clinical Neuroscience – volume: 12 start-page: 1221 year: 2017 end-page: 1228 article-title: Quantitative analysis of grey matter degeneration in FTD patients using fractal dimension analysis publication-title: Brain Imaging and Behavior – volume: 299 year: 2020 article-title: Cortical thickness, local gyrification index and fractal dimensionality in people with acute and recovered anorexia nervosa and in people with bulimia nervosa publication-title: Psychiatry Research: Neuroimaging – volume: 6 start-page: 830 year: 1996 end-page: 836 article-title: Three‐dimensional fractal analysis of the white matter surface from magnetic resonance images of the human brain publication-title: Cerebral Cortex – volume: 6 year: 2019 article-title: Robust estimation of sulcal morphology publication-title: Brain Informatics – volume: 58 start-page: 381 year: 2011 end-page: 390 article-title: Age‐related changes in the surface morphology of the central sulcus publication-title: NeuroImage – volume: 21 start-page: 30 year: 2015 end-page: 43 article-title: Fractals in the neurosciences, part II: Clinical applications and future perspectives publication-title: The Neuroscientist – volume: 2020 year: 2020 article-title: Reduced cortical complexity in cirrhotic patients with minimal hepatic encephalopathy publication-title: Neural Plasticity – ident: e_1_2_10_10_1 doi: 10.1006/nimg.1998.0395 – ident: e_1_2_10_56_1 doi: 10.1371/journal.pmed.1003583 – ident: e_1_2_10_32_1 doi: 10.1016/j.bbr.2019.111911 – ident: e_1_2_10_58_1 doi: 10.3390/brainsci11030371 – ident: e_1_2_10_48_1 doi: 10.1038/s41598-020-73961-w – ident: e_1_2_10_49_1 doi: 10.1016/j.neurobiolaging.2020.10.023 – ident: e_1_2_10_3_1 doi: 10.1017/S0033291700027926 – ident: e_1_2_10_66_1 doi: 10.1007/S11682-017-9784-X – ident: e_1_2_10_77_1 doi: 10.1016/j.psychres.2020.112834 – ident: e_1_2_10_2_1 doi: 10.1016/S0925-4927(01)00091-9 – ident: e_1_2_10_59_1 doi: 10.1002/hbm.23773 – ident: e_1_2_10_6_1 doi: 10.1155/2020/7364649 – ident: e_1_2_10_36_1 doi: 10.18632/aging.103402 – ident: e_1_2_10_13_1 doi: 10.1016/j.jns.2008.12.023 – ident: e_1_2_10_14_1 doi: 10.1073/pnas.200033797 – ident: e_1_2_10_39_1 doi: 10.3233/jad-200102 – ident: e_1_2_10_16_1 doi: 10.1016/j.neuroimage.2013.06.072 – ident: e_1_2_10_37_1 doi: 10.1093/cercor/bhl109 – ident: e_1_2_10_11_1 doi: 10.1177/1073858413513928 – ident: e_1_2_10_41_1 doi: 10.1186/s40708-019-0098-1 – ident: e_1_2_10_76_1 doi: 10.1371/journal.pone.0196964 – ident: e_1_2_10_19_1 doi: 10.1093/cercor/bhs231 – ident: e_1_2_10_47_1 doi: 10.1111/jon.12534 – ident: e_1_2_10_43_1 doi: 10.1016/j.neuroimage.2016.04.029 – ident: e_1_2_10_30_1 doi: 10.1002/hbm.24599 – ident: e_1_2_10_8_1 doi: 10.1016/j.pscychresns.2021.111350 – ident: e_1_2_10_42_1 doi: 10.1111/ejn.15039 – ident: e_1_2_10_22_1 doi: 10.1002/hbm.20238 – ident: e_1_2_10_24_1 doi: 10.1016/j.jneumeth.2008.04.018 – ident: e_1_2_10_46_1 doi: 10.1126/science.156.3775.636 – ident: e_1_2_10_75_1 doi: 10.1016/j.neuroimage.2011.02.007 – ident: e_1_2_10_21_1 doi: 10.1016/j.nicl.2016.11.007 – ident: e_1_2_10_35_1 doi: 10.21037/atm-20-5845 – ident: e_1_2_10_33_1 doi: 10.1097/wnr.0000000000001448 – ident: e_1_2_10_53_1 doi: 10.1016/j.pscychresns.2017.02.007 – ident: e_1_2_10_44_1 doi: 10.1007/S40708-016-0060-4 – ident: e_1_2_10_61_1 doi: 10.1016/j.compmedimag.2007.10.005 – ident: e_1_2_10_62_1 doi: 10.1016/j.neulet.2008.04.022 – ident: e_1_2_10_23_1 doi: 10.3390/brainsci11010107 – ident: e_1_2_10_17_1 doi: 10.1016/j.neuroimage.2019.116438 – ident: e_1_2_10_55_1 doi: 10.1002/erv.2685 – ident: e_1_2_10_34_1 doi: 10.1016/j.neuroimage.2011.06.041 – ident: e_1_2_10_70_1 doi: 10.1523/jneurosci.0165-05.2005 – ident: e_1_2_10_38_1 doi: 10.1016/j.neurobiolaging.2020.02.023 – ident: e_1_2_10_15_1 doi: 10.1093/cercor/6.6.830 – ident: e_1_2_10_63_1 doi: 10.1109/tmi.2007.903576 – ident: e_1_2_10_9_1 doi: 10.1159/000117155 – ident: e_1_2_10_20_1 doi: 10.3389/fpsyt.2020.594466 – ident: e_1_2_10_28_1 doi: 10.3389/fnagi.2017.00405 – ident: e_1_2_10_71_1 doi: 10.1016/j.schres.2022.01.037 – ident: e_1_2_10_54_1 doi: 10.3233/jad-200246 – ident: e_1_2_10_57_1 doi: 10.1016/j.nicl.2019.101990 – ident: e_1_2_10_31_1 doi: 10.1016/j.nicl.2019.101913 – ident: e_1_2_10_74_1 doi: 10.1007/S11071-009-9515-Y – ident: e_1_2_10_64_1 doi: 10.1007/s00406-019-01033-w – ident: e_1_2_10_50_1 doi: 10.1016/j.neuroimage.2012.03.088 – volume: 21 start-page: 641 issue: 4 year: 2007 ident: e_1_2_10_25_1 article-title: Fractal dimension as an index of brain cortical changes throughout life publication-title: In Vivo (Brooklyn) – ident: e_1_2_10_4_1 doi: 10.1016/j.pscychresns.2020.111069 – ident: e_1_2_10_73_1 doi: 10.1016/j.schres.2021.03.004 – ident: e_1_2_10_51_1 doi: 10.1176/appi.ajp.158.2.244 – ident: e_1_2_10_5_1 doi: 10.1155/2020/1521679 – ident: e_1_2_10_68_1 doi: 10.1016/j.neulet.2005.04.078 – ident: e_1_2_10_29_1 doi: 10.1016/S1053-8119(03)00380-X – ident: e_1_2_10_12_1 doi: 10.1177/1073858413513927 – ident: e_1_2_10_65_1 doi: 10.1017/S0033291721001082 – ident: e_1_2_10_72_1 doi: 10.1371/journal.pone.0118828 – ident: e_1_2_10_27_1 doi: 10.1007/s11682-008-9057-9 – ident: e_1_2_10_40_1 doi: 10.7717/peerj.5176 – ident: e_1_2_10_60_1 doi: 10.1186/1744-9081-10-44 – ident: e_1_2_10_7_1 doi: 10.3390/jcm9030833 – ident: e_1_2_10_69_1 doi: 10.31887/dcns.2018.20.4/fthibaut – ident: e_1_2_10_26_1 doi: 10.1016/j.neuroimage.2010.06.050 – ident: e_1_2_10_67_1 doi: 10.1088/0031-9155/60/4/1697 – ident: e_1_2_10_52_1 doi: 10.1002/hbm.22283 – ident: e_1_2_10_45_1 doi: 10.1111/ejn.13835 – volume: 32 start-page: 103 year: 1991 ident: e_1_2_10_18_1 article-title: The fractal geometry of convoluted brains publication-title: Journal für Hirnforschung |
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| Title | Cortical complexity estimation using fractal dimension: A systematic review of the literature on clinical and nonclinical samples |
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