Kaye WH, Fudge JL, Paulus M. New insights into signs and neurocircuit function of anorexia. Nat Rev Neurosci. 2009; 10:573– 84.
Post CAS PubMed Google Scholar
Seitz J, Bühren K, von Polier GG, Heussen N, Herpertz-Dahlmann B, Konrad K. Morphological changes in the brain of acutely ill and weight-recovered clients with anorexia nervosa. A meta-analysis and qualitative evaluation. Z Kinder Jugendpsychiatr Psychother. 2014; 42:7– 17.
Post PubMed Google Scholar
Seitz J, Herpertz-Dahlmann B, Konrad K. Brain morphological changes in teen and adult clients with anorexia. J Neural Transm. 2016; 123:949– 59.
Post CAS PubMed Google Scholar
Chen J, Papies EK, Barsalou LW. A core consuming network and its modulations underlie diverse consuming phenomena. Brain Cognit. 2016; 110:20– 42.
Short article Google Scholar
Kodama N, Moriguchi Y, Takeda A, Maeda M, Ando T, Kikuchi H, et al. Neural correlates of body comparison and weight estimation in weight-recovered anorexia nervosa: a functional magnetic resonance imaging study. Biopsychosoc Med. 2018; 12:15.
Article PubMed Central Google Scholar
Via E, Goldberg X, Sánchez I, Forcano L, Harrison BJ, Davey CG, et al. Self and other body perception in anorexia: the function of posterior DMN nodes. World J Biol Psychiatry. 2018; 19:210– 24.
Post PubMed Google Scholar
Westwater ML, Seidlitz J, Diederen KMJ, Fischer S, Thompson JC. Associations in between cortical thickness, structural connectivity and intensity of dimensional bulimia nervosa symptomatology. Psychiatry Res Neuroimaging. 2018; 271:118– 25.
Post PubMed Google Scholar
Mishima R, Isobe M, Noda T, Tose K, Kawabata M, Noma S, et al. Structural brain changes in serious and enduring anorexia: a multimodal magnetic resonance imaging study of noodle volume, cortical density, and white matter integrity. Psychiatry Res Neuroimaging. 2021; 318:111393.
Post PubMed Google Scholar
Murao E, Sugihara G, Isobe M, Noda T, Kawabata M, Matsukawa N, et al. Differences in neural reactions to reward and punishment processing in between anorexia nervosa subtypes: an fMRI research study. Psychiatry Clin Neurosci. 2017; 71:647– 58.
Short article PubMed Google Scholar
Noda T, Isobe M, Ueda K, Aso T, Murao E, Kawabata M, et al. The relationship between attention and avoidance coping in anorexia nervosa: functional magnetic resonance imaging study. BJPsych Open. 2021; 7: e130.Article PubMed Central Google Scholar Sato Y, Saito N, Utsumi A, Aizawa
E, Shoji T, Izumiyama M, et al. Neural basis of impaired cognitive flexibility in patients with anorexia. PloS One. 2013; 8: e61108.Article CAS PubMed Central Google Scholar King
JA, Frank GKW, Thompson PM, Ehrlich S. Structural neuroimaging of
anorexia: future instructions in the mission for systems underlying dynamic changes. Biol Psychiatry. 2018; 83:224– 34. Post PubMed Google Scholar Zhang S, Wang W, Su X, Kemp GJ, Yang X, Su J, et al. Psychoradiological examinations of gray matter changes
in patients with anorexia nervosa. Transl Psychiatry. 2018; 8:277. Post PubMed Central Google Scholar Walton E, Bernardoni F, Batury VL, Bahnsen K, Lariviere S, Abbate-Daga G, et al.
Brain structure in acutely underweight and partly weight-restored
individuals with anorexia: a coordinated analysis by the ENIGMA Consuming Disorders Working Group. Biol Psychiatry. 2022; 92:730– 8. Article PubMed Google Scholar Lloyd EC. Massive analysis of brain morphometry in anorexia nervosa. Biol Psychiatry. 2022; 92: e41– e42.Article PubMed Google Scholar Maikusa N, Beheshiti I, Sone D, Kimura Y, Shigemoto Y, Chiba E, et al. Brain age
estimate utilizing support vector regression and harmonization across scanner and website. Medication Imaging Technol.
2021; 39:171– 5. Google Scholar
TetsuroTachi KM, Teruhisa W, Norimasa I, Aya MN, Yuuko M. Application of the Eating Condition Evaluation (EDE)to Japanese clients with consuming conditions: dependability and credibility of the Japanese Version of EDE
. Jpn J Psychosom
Medication. 2005; 45:785– 92. Google Scholar Fairburn CG, Beglin SJ. Evaluation of consuming disorders: interview or self-report survey? Int J Consume Disord. 1994; 16:363– 70. Post CAS PubMed Google Scholar Ashburner J. A quick diffeomorphic image registration algorithm.
NeuroImage. 2007
; 38:95– 113. Post PubMed Google Scholar Colloby SJ, Firbank MJ, Vasudev A, Parry SW, Thomas AJ, O’Brien JT. Cortical thickness
and VBM-DARTEL in late-life depression. J Affect
Disord. 2011; 133:158– 64. Post PubMed Google Scholar Johnson WE, Li C, Rabinovic A. Adjusting batch impacts in microarray expression information using empirical
Bayes methods. Biostatistics. 2007; 8:118– 27. Short Article PubMed Google Scholar Fortin JP, Cullen N, Sheline YI, Taylor WD, Aselcioglu I, Cook PA, et al. Harmonization of cortical density measurements across scanners
and sites. NeuroImage. 2018; 167:104– 20. Article PubMed Google Scholar Fortin JP, Parker D, Tunç B, Watanabe T, Elliott MA, Ruparel K, et al.
Harmonization of multi-site diffusion tensor
imaging information. NeuroImage. 2017; 161:149– 70. Post PubMed Google Scholar Reas DL, Rø Ø. Less symptomatic, but equally impaired: scientific disability in restricting versus binge-eating/purging subtype
of anorexia. Eat Behav. 2018
; 28:32– 37. Short Article PubMed Google Scholar Ekeroth K, Clinton D, Norring C, Birgegård A. Scientific qualities and diversity of DSM-5 eating disorder diagnoses:
findings from a large naturalistic scientific
database. J Eat Disord. 2013; 1:31. Post PubMed Central Google Scholar De Young KP, Lavender JM, Steffen K, Wonderlich SA, Engel SG, Mitchell JE, et al. Restrictive eating behaviors are a nonweight-based marker of seriousness
in anorexia nervosa. Int J Eat Disord. 2013; 46:849– 54. Article PubMed Central Google Scholar Gold AL, Steuber ER, White LK, Pacheco J, Sachs JF, Pagliaccio D, et al. Cortical thickness and subcortical gray matter volume in pediatric stress and anxiety disorders. Neuropsychopharmacology
. 2017; 42:2423– 33. Post PubMed Central Google Scholar Pagliaccio D, Alqueza KL, Marsh R, Auerbach RP. Brain volume irregularities in youth at high danger for depression: teen brain and cognitive advancement study.
J Am Acad Child Adolesc Psychiatry. 2020; 59:1178– 88. Post
PubMed Google Scholar Watson HJ, Yilmaz Z, Thornton LM, Hubel C, Coleman JRI, Gaspar HA, et al. Genome-wide association study identifies eight threat loci and implicates metabo-psychiatric origins for anorexia
nervosa. Nat Genet. 2019; 51:1207 — 14. Post CAS PubMed
PubMed Central Google Scholar Etkin A. Functional neuroanatomy of stress and anxiety: a neural circuit perspective. Curr Top Behav Neurosci. 2010; 2:251– 77. Article PubMed Google Scholar Haber SN, Knutson B. The reward circuit: connecting primate anatomy and human imaging. Neuropsychopharmacology. 2010; 35:4– 26
. Article PubMed Google Scholar Frank GKW, DeGuzman MC, Shott ME, Laudenslager ML, Rossi B, Pryor T. Association of brain benefit knowing response with damage avoidance, weight gain, and hypothalamic effective connectivity in teen anorexia
nervosa. JAMA Psychiatry. 2018; 75:1071 — 80. Post PubMed
PubMed Central Google Scholar Frank GKW, Shott ME, Stoddard J, Swindle S, Pryor TL. Association of brain reward action with body
mass index and forward striatal-hypothalamic circuitry amongst young women with eating disorders. JAMA Psychiatry. 2021; 78:1123– 33. Post PubMed Google Scholar Noonan MP, Kolling N, Walton ME, Rushworth
MF. Re-evaluating the function of the orbitofrontal cortex
in benefit and reinforcement. Eur J Neurosci. 2012; 35:997– 1010. Post CAS PubMed Google Scholar Rolls BJ, Rolls ET, Rowe EA, Sweeney K. Sensory specific satiety in guy. Physiol Behav. 1981; 27:137– 42. Post CAS PubMed Google Scholar Plassmann H, O’Doherty JP,
Rangel A. Appetitive and aversive goal values are encoded
in the medial orbitofrontal cortex at the time of choice making. J Neurosci. 2010; 30:10799– 808. Post CAS PubMed Central Google Scholar Frank GK, Shott ME, Hagman JO, Mittal VA. Modifications in brain structures connected to taste benefit circuitry in ill and recuperated anorexia nervosa and in bulimia
nervosa. Am J psychiatry. 2013; 170:1152– 60. Short Article PubMed Central Google Scholar Motzkin JC, Philippi CL, Wolf RC, Baskaya MK, Koenigs M. Ventromedial prefrontal cortex is
crucial for the guideline of amygdala activity
in humans. Biol Psychiatry. 2015; 77:276– 84. Short Article PubMed Google Scholar Bush G, Luu P, Posner MI.
Cognitive and psychological impacts in anterior
cingulate cortex. Patterns Cogn Sci. 2000; 4:215– 22. Article CAS PubMed Google Scholar Bissière S, Plachta N, Hoyer D, McAllister KH, Olpe HR, Grace AA, et al. The rostral anterior cingulate cortex modulates the performance of amygdala-dependent worry knowing. Biol Psychiatry.
2008; 63:821– 31. Article PubMed Google Scholar Muhlau M, Gaser C, Ilg R, Conrad B, Leibl C, Cebulla MH, et al. Gray matter decline of the anterior cingulate cortex in anorexia nervosa. Am J Psychiatry. 2007; 164:1850– 7.
Short article PubMed Google Scholar Milad MR, Quirk GJ
. Neurons in median prefrontal cortex signal memory for worry extinction. Nature. 2002; 420:70– 74. Short Article CAS PubMed Google Scholar Hänsel A, von Känel R. The ventro-medial prefrontal cortex: a significant link between the autonomic nerve system, regulation
of emotion, and stress reactivity? Biopsychosoc Med. 2008; 2:21. Short Article PubMed Central Google Scholar Uher R, Murphy T, Brammer MJ, Dalgleish T, Phillips ML, Ng VW, et al. Median
prefrontal cortex activity connected with symptom justification in consuming disorders. Am J Psychiatry. 2004; 161:1238– 46. Article PubMed Google Scholar Villafuerte S, Heitzeg MM, Foley S, Yau WY, Majczenko K, Zubieta JK, et al.
Impulsiveness and insula activation during
reward anticipation are connected with genetic variants in GABRA2 in a family sample enriched for alcoholism. Mol psychiatry. 2012; 17:511– 9. Article CAS PubMed Google Scholar Chang
LJ, Yarkoni T, Khaw MW, Sanfey AG. Translating
the function of the insula in human cognition: functional parcellation and large-scale reverse inference. Cereb Cortex.
2013; 23:739– 49. Short Article PubMed Google Scholar
Kano M, Muratsubaki T, Yagihashi M, Morishita J, Mugikura S, Dupont P, et al. Insula activity to visceral stimulation and endocrine tension responses as connected with alexithymia in clients with irritable bowel syndrome. Psychosom Medication. 2020; 82:29
— 38. Post PubMed Google Scholar Van Oudenhove L, Kragel PA, Dupont P, Ly HG, Pazmany E, Enzlin P, et al. Common and distinct neural representations of aversive somatic and visceral stimulation in healthy individuals. Nat Commun. 2020; 11:5939. Short article
PubMed PubMed Central Google Scholar Deen B, Pitskel NB, Pelphrey KA. 3 systems of insular practical connection related to cluster analysis. Cereb Cortex. 2011; 21:1498– 506. Post PubMed Google Scholar Zucker NL, Kragel PA, Wagner HR, Keeling L, Mayer E, Wang J, et al.
The medical significance of posterior insular
volume in adolescent anorexia nervosa. Psychosom Medication. 2017; 79:1025– 35. Post PubMed Central Google Scholar Kanai R, Rees G. The structural basis of inter-individual differences in human behaviour and cognition. Nat Rev Neurosci. 2011;
12:231– 42. Short Article CAS PubMed Google Scholar Keski-Rahkonen A, Mustelin L. Public health of consuming disorders in Europe: occurrence, occurrence, comorbidity, course, consequences, and threat factors. Curr Opin Psychiatry. 2016; 29:340– 5. Post PubMed Google Scholar Swinbourne JM, Touyz SW. The co-morbidity of eating disorders
and anxiety disorders: a review. Eur Eat Disord Rev. 2007; 15:253– 74. Post PubMed Google Scholar Ulfvebrand S, Birgegård A, Norring C, Högdahl L, von Hausswolff-Juhlin Y. Psychiatric comorbidity in ladies and men with eating conditions arises from a large scientific database. Psychiatry Res
. 2015; 230:294– 9. Short Article PubMed Google Scholar Hamatani S, Hirano Y, Sugawara A, Isobe M, Kodama N, Yoshihara K, et al. Consuming Condition Neuroimaging Initiative(
EDNI): a multicentre prospective associate
research study procedure for elucidating the neural results of cognitive-behavioural treatment for consuming disorders. BMJ Open. 2021; 11: e042685.Article PubMed Central Google Scholar Although brain morphological problems have actually been reported in anorexia nervosa (AN), the reliability and reproducibility
of previous studies were restricted due to insufficient sample sizes, which prevented exploratory analysis of the entire brain instead of areas of interest
(Return Of Investments). Goal was to determine brain morphological problems in AN and the association with intensity of AN by brain structural magnetic resonance imaging(MRI)in a multicenter research study, and to perform exploratory analysis of the whole brain.
Here, we conducted a cross-sectional multicenter research study using T1-weighted imaging(T1WI)information gathered in between May 2014 and February 2019 in Japan. We evaluated MRI information from 103 female AN patients(
58 anorexia limiting type
[ ANR] and 45 anorexia binge-purging type [ANBP] and 102 age-matched female healthy controls(HC). MRI information from five centers were preprocessed utilizing the current harmonization technique
to correct for intercenter differences. Gray
matter volume (GMV)was determined from T1WI data of all participants. Of the 205 participants, we acquired seriousness of consuming condition sign ratings from 179 individuals, consisting of 87 in the AN group (51 ANR, 36 ANBP)and 92 HC utilizing the Consuming Condition Examination Survey(EDE-Q)6.0.
GMV decrease were observed in the AN brain, including the bilateral cerebellum, middle and posterior cingulate gyrus, extra motor cortex, precentral gyrus medial section, and thalamus. In addition, the orbitofrontal cortex(OFC), ventromedial prefrontal cortex(vmPFC ), rostral anterior cingulate cortex(ACC ), and posterior insula volumes revealed favorable correlations with seriousness of signs. This multicenter study was performed with a large sample size to recognize brain morphological problems in AN. The findings provide a better understanding of the pathogenesis of AN and have potential for the development of brain imaging biomarkers of AN. Trial Registration: UMIN000017456. https://center6.umin.ac.jp/cgi-open-bin/icdr/ctr_view.cgi?recptno=R000019303.
