{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T11:54:51Z","timestamp":1784548491931,"version":"3.55.0"},"reference-count":42,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2020,3,19]],"date-time":"2020-03-19T00:00:00Z","timestamp":1584576000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"abstract":"<jats:p>Fractal Dimension (FD) has shown to be a promising means to describe the morphology of cortical structures across different neurologic and psychiatric conditions, displaying a good sensitivity in capturing atrophy processes. In this study, we aimed at exploring the morphology of cortical areas by means of FD in 58 female patients with Anorexia Nervosa (AN) (38 currently underweight and 20 fully recovered) and 38 healthy controls (HC). All participants underwent high-resolution MRI. Surface extraction was completed using FreeSurfer, FD was computed using the calcFD toolbox. The whole cortex mean FD value was lower in acute AN patients compared to HC (p &lt; 0.001). Recovered AN patients did not show differences in the global FD when compared to HC. However, some brain areas showed higher FD in patients than controls, while others showed the opposite pattern. Parietal regions showed lower FD in both AN groups. In acute AN patients, the FD correlated with age (p &lt; 0.001), body mass index (p = 0.019) and duration of illness (p = 0.011). FD seems to represent a feasible method to explore cortical complexity in patients with AN since it demonstrated to be sensitive to the effects of both severity and duration of malnutrition.<\/jats:p>","DOI":"10.3390\/jcm9030833","type":"journal-article","created":{"date-parts":[[2020,3,19]],"date-time":"2020-03-19T10:01:35Z","timestamp":1584612095000},"page":"833","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":42,"title":["Cortical Complexity in Anorexia Nervosa: A Fractal Dimension Analysis"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6730-1778","authenticated-orcid":false,"given":"Enrico","family":"Collantoni","sequence":"first","affiliation":[{"name":"Department of Neurosciences, University of Padua, Via Giustiniani, 2-35128 Padova, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3228-6501","authenticated-orcid":false,"given":"Christopher R.","family":"Madan","sequence":"additional","affiliation":[{"name":"School of Psychology, University of Nottingham, Nottingham NG7 2QL, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3323-6071","authenticated-orcid":false,"given":"Paolo","family":"Meneguzzo","sequence":"additional","affiliation":[{"name":"Department of Neurosciences, University of Padua, Via Giustiniani, 2-35128 Padova, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Iolanna","family":"Chiappini","sequence":"additional","affiliation":[{"name":"Department of Neurosciences, University of Padua, Via Giustiniani, 2-35128 Padova, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elena","family":"Tenconi","sequence":"additional","affiliation":[{"name":"Department of Neurosciences, University of Padua, Via Giustiniani, 2-35128 Padova, Italy"},{"name":"Padua Neuroscience Center, University of Padua, 35128 Padova, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Renzo","family":"Manara","sequence":"additional","affiliation":[{"name":"Department of Neurosciences, University of Padua, Via Giustiniani, 2-35128 Padova, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6540-5194","authenticated-orcid":false,"given":"Angela","family":"Favaro","sequence":"additional","affiliation":[{"name":"Department of Neurosciences, University of Padua, Via Giustiniani, 2-35128 Padova, Italy"},{"name":"Padua Neuroscience Center, University of Padua, 35128 Padova, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,3,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1715","DOI":"10.4088\/JCP.09m05176blu","article-title":"Time trends in age at onset of anorexia nervosa and bulimia nervosa","volume":"70","author":"Favaro","year":"2009","journal-title":"J. Clin. Psychiatry"},{"key":"ref_2","first-page":"7","article-title":"Morphological Changes in the Brain of Acutely Ill and Weight-Recovered Patients with Anorexia Nervosa a Meta-Analysis and Qualitative Review","volume":"42","author":"Seitz","year":"2014","journal-title":"J. Child Adolesc. Psychiatry Psychother."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/S0031-9384(03)00101-X","article-title":"A neurodevelopmental model for anorexia nervosa","volume":"79","author":"Connan","year":"2003","journal-title":"Physiol. Behav."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/S0149-7634(03)00005-8","article-title":"Trajectories of brain development: Point of vulnerability or window of opportunity?","volume":"27","author":"Andersen","year":"2003","journal-title":"Neurosci. Biobehav. Rev."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"949","DOI":"10.1007\/s00702-016-1567-9","article-title":"Brain morphological changes in adolescent and adult patients with anorexia nervosa","volume":"123","author":"Seitz","year":"2016","journal-title":"J. Neural Transm."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.neuroimage.2016.02.003","article-title":"Weight restoration therapy rapidly reverses cortical thinning in anorexia nervosa: A longitudinal study","volume":"130","author":"Bernardoni","year":"2016","journal-title":"Neuroimage"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.pscychresns.2016.01.002","article-title":"The relationship between cortical thickness and body mass index differs between women with anorexia nervosa and healthy controls","volume":"248","author":"Lavagnino","year":"2016","journal-title":"Psychiatry Res. Neuroimaging"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Collantoni, E., Meneguzzo, P., Tenconi, E., Manara, R., and Favaro, A. (2019). Small-world properties of brain morphological characteristics in Anorexia Nervosa. PLoS ONE, 14.","DOI":"10.1371\/journal.pone.0216154"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Fuglset, T.S., Endestad, T., Hilland, E., Bang, L., Tamnes, C.K., Landr\u00f8, N.I., and R\u00f8, \u00d8. (2016). Brain volumes and regional cortical thickness in young females with anorexia nervosa. BMC Psychiatry, 16.","DOI":"10.1186\/s12888-016-1126-9"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"5113","DOI":"10.1002\/hbm.22998","article-title":"Gyrification brain abnormalities as predictors of outcome in anorexia nervosa","volume":"36","author":"Favaro","year":"2015","journal-title":"Hum. Brain Mapp."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1007\/s00406-015-0666-1","article-title":"Evidence for alterations of cortical folding in anorexia nervosa","volume":"267","author":"Schultz","year":"2017","journal-title":"Eur. Arch. Psychiatry Clin. Neurosci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"692","DOI":"10.1016\/j.biopsych.2018.05.008","article-title":"Nutritional status affects cortical folding: Lessons learned from anorexia nervosa","volume":"84","author":"Bernardoni","year":"2018","journal-title":"Biol. Psychiatry"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.bandc.2009.10.009","article-title":"The development of gyrification in childhood and adolescence","volume":"72","author":"White","year":"2010","journal-title":"Brain Cogn."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1765","DOI":"10.1016\/S1053-8119(03)00380-X","article-title":"Is the brain cortex a fractal?","volume":"20","author":"Kiselev","year":"2003","journal-title":"Neuroimage"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1016\/j.neuroimage.2016.04.029","article-title":"Cortical complexity as a measure of age-related brain atrophy","volume":"134","author":"Madan","year":"2016","journal-title":"Neuroimage"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Di Ieva, A. (2016). The Fractal Geometry of the Brain: An Overview, Springer.","DOI":"10.1007\/978-1-4939-3995-4"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"636","DOI":"10.1126\/science.156.3775.636","article-title":"How long is the coast of Britain? Statistical self-similarity and fractional dimension","volume":"156","author":"Mandelbrot","year":"1967","journal-title":"Science"},{"key":"ref_18","first-page":"103","article-title":"The fractal geometry of convoluted brains","volume":"32","author":"Hofman","year":"1991","journal-title":"J. Hirnforsch."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1159\/000117155","article-title":"Fractal Description of Cerebral Cortical Patterns in Frontal Lobe Epilepsy","volume":"35","author":"Cook","year":"1995","journal-title":"Eur. Neurol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1691","DOI":"10.1002\/hbm.22283","article-title":"Cortical surface complexity in frontal and temporal areas varies across subgroups of schizophrenia","volume":"35","author":"Nenadic","year":"2014","journal-title":"Hum. Brain Mapp."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.compmedimag.2007.10.005","article-title":"Fractal dimension analysis of MR images reveals grey matter structure irregularities in schizophrenia","volume":"32","author":"Sandu","year":"2008","journal-title":"Comput. Med. Imaging Graph."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1016\/j.neuroimage.2010.06.050","article-title":"Fractal dimension analysis of the cortical ribbon in mild Alzheimer\u2019s disease","volume":"53","author":"King","year":"2010","journal-title":"Neuroimage"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.neurobiolaging.2016.10.023","article-title":"Age-related differences in the structural complexity of subcortical and ventricular structures","volume":"50","author":"Madan","year":"2017","journal-title":"Neurobiol. Aging"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1016\/j.neulet.2005.04.078","article-title":"Fractal dimension of cerebral cortical surface in schizophrenia and obsessive\u2013compulsive disorder","volume":"384","author":"Ha","year":"2005","journal-title":"Neurosci. Lett."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1016\/j.braindev.2007.04.008","article-title":"Asymmetry of prefrontal cortical convolution complexity in males with attention-deficit\/hyperactivity disorder using fractal information dimension","volume":"29","author":"Li","year":"2007","journal-title":"Brain Dev."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1697","DOI":"10.1088\/0031-9155\/60\/4\/1697","article-title":"Fractal analysis of MRI data for the characterization of patients with schizophrenia and bipolar disorder","volume":"60","author":"Squarcina","year":"2015","journal-title":"Phys. Med. Biol."},{"key":"ref_27","first-page":"1","article-title":"Fractal dimension analysis of subcortical gray matter structures in schizophrenia","volume":"11","author":"Zhao","year":"2016","journal-title":"PLoS ONE"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"655","DOI":"10.1002\/erv.2685","article-title":"Altered cortical folding and reduced sulcal depth in adults with anorexia nervosa","volume":"27","author":"Nickel","year":"2019","journal-title":"Eur. Eat. Disord. Rev."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1503\/jpn.120068","article-title":"Catechol-O-methyltransferase genotype modifies executive functioning and prefrontal functional connectivity in women with anorexia nervosa","volume":"38","author":"Favaro","year":"2013","journal-title":"J. Psychiatry Neurosci."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders, American Psychiatric Association.","DOI":"10.1176\/appi.books.9780890425596"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"864","DOI":"10.1016\/j.biopsych.2012.04.025","article-title":"Disruption of visuospatial and somatosensory functional connectivity in anorexia nervosa","volume":"72","author":"Favaro","year":"2012","journal-title":"Biol. Psychiatry"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/bs.3830190102","article-title":"The Hopkins Symptom Checklist (HSCL): A Self Report Symptom Inventory","volume":"19","author":"Derogatis","year":"1974","journal-title":"Behav. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1002\/1098-108X(198321)2:2<15::AID-EAT2260020203>3.0.CO;2-6","article-title":"Development and validation of a multidimensional eating disorder inventory for anorexia nervosa and bulimia","volume":"2","author":"Garner","year":"1983","journal-title":"Int. J. Eat. Disord."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/0028-3932(71)90067-4","article-title":"The assessment and analysis of handedness: The Edinburgh inventory","volume":"9","author":"Oldfield","year":"1971","journal-title":"Neuropsychologia"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1016\/j.neuroimage.2012.01.021","article-title":"FreeSurfer","volume":"62","author":"Fischl","year":"2012","journal-title":"Neuroimage"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neuroimage.2010.06.010","article-title":"Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature","volume":"53","author":"Destrieux","year":"2010","journal-title":"Neuroimage"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/s40708-016-0060-4","article-title":"Test\u2013retest reliability of brain morphology estimates","volume":"4","author":"Madan","year":"2017","journal-title":"Brain Inform."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"e5176","DOI":"10.7717\/peerj.5176","article-title":"Age differences in head motion and estimates of cortical morphology","volume":"6","author":"Madan","year":"2018","journal-title":"PeerJ"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","article-title":"Controlling the False Discovery Rate\u2014A Practical and Powerful Approach to Multiple Testing","volume":"57","author":"Benjamini","year":"1995","journal-title":"J. R. Stat. Soc. Ser. B"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1111\/ejn.13835","article-title":"Predicting age from cortical structure across the lifespan","volume":"47","author":"Madan","year":"2018","journal-title":"Eur. J. Neurosci."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1002\/eat.22131","article-title":"Brain development and neurocircuit modeling are the interface between genetic\/environmental risk factors and eating disorders. A commentary on keel & forney and friederich et al","volume":"46","author":"Favaro","year":"2013","journal-title":"Int. J. Eat. Disord."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1186\/1744-9081-10-44","article-title":"Post-adolescent developmental changes in cortical complexity","volume":"10","author":"Sandu","year":"2014","journal-title":"Behav. Brain Funct."}],"container-title":["Journal of Clinical Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2077-0383\/9\/3\/833\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:09:39Z","timestamp":1760173779000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2077-0383\/9\/3\/833"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,19]]},"references-count":42,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2020,3]]}},"alternative-id":["jcm9030833"],"URL":"https:\/\/doi.org\/10.3390\/jcm9030833","relation":{},"ISSN":["2077-0383"],"issn-type":[{"value":"2077-0383","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,3,19]]}}}