Abstract
Purpose
To explore electroencephalographic (EEG) alterations in young women with different eating disorder (ED) psychopathology levels.
Methods
Thirty-seven young women completed general and ED psychopathology (i.e., the ED Examination Questionnaire; EDE-Q) measures. EEG power spectra data were investigated in two conditions: (a) 5 min of resting state (RS) and (b) 5 min of RS after a single taste of a milkshake (ML-RS). EEG analyses were performed using exact Low-Resolution Electromagnetic Tomography software (eLORETA).
Results
Cluster analysis performed on the EDE-Q responses revealed a group of 17 women with high levels of ED pathology falling into the subclinical (i.e., sub-threshold) EDs category and a group of 20 women with low levels of ED pathology (controls). In the RS conditions, no significant modifications were observed between groups. Compared to controls, women with subclinical EDs showed an increase in theta activity in the parieto-occipital areas in the ML-RS condition. After controlling for body mass index and general psychopathology, theta activity in these brain structures was positively associated with EDE-Q global and subscale (restraint, shape and weight concern) scores.
Conclusions
Our results may reflect the neurophysiological substrate of ED psychopathology core features like shape/weight concerns. Previous brain imaging and qEEG studies with full-syndrome ED patients also underscored the involvement of parieto-occipital areas in ED pathophysiology. These studies also found brain alterations in the RS condition, not observed here. This is notable given that full-syndrome and subclinical EDs are considered as different manifestations of the same disease along a severity spectrum.
Level of evidence
Level V, cross-sectional, electroencephalographic, descriptive study.
Similar content being viewed by others
Notes
A recent, large Italian study has supported the discriminant validity of the EDE-Q and established a) a global EDE-Q score of 3.00 (sensitivity = 0.90, specificity = 0.90) as the optimal cut-off to accurately distinguish young women with DSM-5 full-syndrome EDs from healthy controls, and b) a global EDE-Q score of 1.98 (sensitivity = 0.96, specificity = 0.96) as the optimal cut-off to accurately distinguish young women with DSM-5 subclinical/sub-threshold EDs (i.e., atypical anorexia nervosa, bulimia nervosa and binge eating disorder of low frequency and/or limited duration) from healthy controls [65]. The EDE global score of our cluster-derived group of young women with high levels of ED pathology (Table 1) is above the identified cut-off for DSM-5 subclinical EDs and below the identified cut-off for DSM-5 full-syndrome EDs.
References
Stice E, Marti CN, Rohde P (2013) Prevalence, incidence, impairment, and course of the proposed DSM-5 eating disorder diagnoses in an 8-year prospective community study of young women. J Abnorm Psychol 122(2):445–457. https://doi.org/10.1037/a0030679
Allen KL, Byrne SM, Oddy WH, Crosby RD (2013) DSM-IV-TR and DSM-5 eating disorders in adolescents: prevalence, stability, and psychosocial correlates in a population-based sample of male and female adolescents. J Abnorm Psychol 122(3):720–732. https://doi.org/10.1037/a0034004
Treasure J, Claudino AM, Zucker N (2010) Eating disorders. Lancet 375(9714):583–593. https://doi.org/10.1016/S0140-6736(09)61748-7
Grilo CM, Crosby RD, Masheb RM, White MA, Peterson CB, Wonderlich SA, Engel SG, Crow SJ, Mitchell JE (2009) Overvaluation of shape and weight in binge eating disorder, bulimia nervosa, and sub-threshold bulimia nervosa. Behav Res Ther 47(8):692–696. https://doi.org/10.1016/j.brat.2009.05.001
Schmidt U, Adan R, Bohm I, Campbell IC, Dingemans A, Ehrlich S, Elzakkers I, Favaro A, Giel K, Harrison A, Himmerich H, Hoek HW, Herpertz-Dahlmann B, Kas MJ, Seitz J, Smeets P, Sternheim L, Tenconi E, van Elburg A, van Furth E, Zipfel S (2016) Eating disorders: the big issue. Lancet Psychiatry 3(4):313–315. https://doi.org/10.1016/S2215-0366(16)00081-X
Dakanalis A, Clerici M, Riva G, Carra G (2017) Testing the DSM-5 severity indicator for bulimia nervosa in a treatment-seeking sample. Eat Weight Disord 22(1):161–167. https://doi.org/10.1007/s40519-016-0324-2
Agh T, Kovacs G, Supina D, Pawaskar M, Herman BK, Voko Z, Sheehan DV (2016) A systematic review of the health-related quality of life and economic burdens of anorexia nervosa, bulimia nervosa, and binge eating disorder. Eat Weight Disord 21(3):353–364. https://doi.org/10.1007/s40519-016-0264-x
Dakanalis A, Alix Timko C, Colmegna F, Riva G, Clerici M (2018) Evaluation of the DSM-5 severity ratings for anorexia nervosa in a clinical sample. Psychiatry Res 262:124–128. https://doi.org/10.1016/j.psychres.2018.02.009
Arcelus J, Mitchell AJ, Wales J, Nielsen S (2011) Mortality rates in patients with anorexia nervosa and other eating disorders. A meta-analysis of 36 studies. Arch Gen Psychiatry 68(7):724–731. https://doi.org/10.1001/archgenpsychiatry.2011.74
Dakanalis A, Colmegna F, Riva G, Clerici M (2017) Validity and utility of the DSM-5 severity specifier for binge-eating disorder. Int J Eat Disord 50(8):917–923. https://doi.org/10.1002/eat.22696
Dakanalis A, Clerici M, Bartoli F, Caslini M, Crocamo C, Riva G, Carra G (2017) Risk and maintenance factors for young women’s DSM-5 eating disorders. Arch Womens Ment Health 20(6):721–731. https://doi.org/10.1007/s00737-017-0761-6
Bartholdy S, Allen K, Hodsoll J, O’Daly OG, Campbell IC, Banaschewski T, Bokde ALW, Bromberg U, Buchel C, Quinlan EB, Conrod PJ, Desrivieres S, Flor H, Frouin V, Gallinat J, Garavan H, Heinz A, Ittermann B, Martinot JL, Artiges E, Nees F, Orfanos DP, Paus T, Poustka L, Smolka MN, Mennigen E, Walter H, Whelan R, Schumann G, Schmidt U (2017) Identifying disordered eating behaviours in adolescents: how do parent and adolescent reports differ by sex and age? Eur Child Adolesc Psychiatry 26(6):691–701. https://doi.org/10.1007/s00787-016-0935-1
Dakanalis A, Timko A, Serino S, Riva G, Clerici M, Carra G (2016) Prospective Psychosocial predictors of onset and cessation of eating pathology amongst college women. Eur Eat Disord Rev 24(3):251–256. https://doi.org/10.1002/erv.2433
Touchette E, Henegar A, Godart NT, Pryor L, Falissard B, Tremblay RE, Cote SM (2011) Subclinical eating disorders and their comorbidity with mood and anxiety disorders in adolescent girls. Psychiatry Res 185(1–2):185–192. https://doi.org/10.1016/j.psychres.2010.04.005
Dakanalis A, Pla-Sanjuanelo J, Caslini M, Volpato C, Riva G, Clerici M, Carra G (2016) Predicting onset and maintenance of men’s eating disorders. Int J Clin Health Psychol 16(3):247–255. https://doi.org/10.1016/j.ijchp.2016.05.002
Fairweather-Schmidt AK, Wade TD (2014) DSM-5 eating disorders and other specified eating and feeding disorders: is there a meaningful differentiation? Int J Eat Disord 47(5):524–533. https://doi.org/10.1002/eat.22257
Dakanalis A, Clerici M, Stice E (2019) Prevention of eating disorders: current evidence-base for dissonance-based programmes and future directions. Eat Weight Disord. https://doi.org/10.1007/s40519-019-00719-3
Frank GK (2015) Advances from neuroimaging studies in eating disorders. CNS Spectr 20(4):391–400. https://doi.org/10.1017/S1092852915000012
Fuglset TS, Landro NI, Reas DL, Ro O (2016) Functional brain alterations in anorexia nervosa: a scoping review. J Eat Disord 4:32. https://doi.org/10.1186/s40337-016-0118-y
Gaudio S, Wiemerslage L, Brooks SJ, Schioth HB (2016) A systematic review of resting-state functional-MRI studies in anorexia nervosa: Evidence for functional connectivity impairment in cognitive control and visuospatial and body-signal integration. Neurosci Biobehav Rev 71:578–589. https://doi.org/10.1016/j.neubiorev.2016.09.032
Donnelly B, Touyz S, Hay P, Burton A, Russell J, Caterson I (2018) Neuroimaging in bulimia nervosa and binge eating disorder: a systematic review. J Eat Disord 6:3. https://doi.org/10.1186/s40337-018-0187-1
Gaudio S, Dakanalis A, Fariello G, Riva G (2018) Neuroscience, Brain Imaging, and Body Image in Eating and Weight Disorders. In: Cuzzolaro M, Fassino S (eds) Body image, eating, and weight. Springer International Publishing, Switzerland, pp 97–110
Kessler RM, Hutson PH, Herman BK, Potenza MN (2016) The neurobiological basis of binge-eating disorder. Neurosci Biobehav Rev 63:223–238. https://doi.org/10.1016/j.neubiorev.2016.01.013
Jauregui-Lobera I (2012) Electroencephalography in eating disorders. Neuropsychiatr Dis Treat 8:1–11. https://doi.org/10.2147/NDT.S27302
Blume M, Schmidt R, Hilbert A (2019) Abnormalities in the EEG power spectrum in bulimia nervosa, binge-eating disorder, and obesity: a systematic review. Eur Eat Disord Rev 27(2):124–136. https://doi.org/10.1002/erv.2654
Teplan M (2002) Fundamentals of EEG measurement. Meas Sci Rev 2(2):1–11
Lehembre R, Gosseries O, Lugo Z, Jedidi Z, Chatelle C, Sadzot B, Laureys S, Noirhomme Q (2012) Electrophysiological investigations of brain function in coma, vegetative and minimally conscious patients. Arch Ital Biol 150(2–3):122–139. https://doi.org/10.4449/aib.v150i2.1374
Frank GK (2012) Advances in the diagnosis of anorexia nervosa and bulimia nervosa using brain imaging. Expert Opin Med Diagn 6(3):235–244. https://doi.org/10.1517/17530059.2012.673583
Thatcher RW (2010) Validity and reliability of quantitative electroencephalography (qEEG). J Neurother 14(2):122–152. https://doi.org/10.1080/10874201003773500
Canuet L, Ishii R, Pascual-Marqui RD, Iwase M, Kurimoto R, Aoki Y, Ikeda S, Takahashi H, Nakahachi T, Takeda M (2011) Resting-state EEG source localization and functional connectivity in schizophrenia-like psychosis of epilepsy. PLoS One 6(11):e27863. https://doi.org/10.1371/journal.pone.0027863
Schlumpf YR, Nijenhuis ERS, Klein C, Jancke L, Bachmann S (2019) Functional reorganization of neural networks involved in emotion regulation following trauma therapy for complex trauma disorders. Neuroimage Clin 23:101807. https://doi.org/10.1016/j.nicl.2019.101807
Todder D, Levine J, Abujumah A, Mater M, Cohen H, Kaplan Z (2012) The quantitative electroencephalogram and the low-resolution electrical tomographic analysis in posttraumatic stress disorder. Clin EEG Neurosci 43(1):48–53. https://doi.org/10.1177/1550059411428716
Wolz I, Fagundo AB, Treasure J, Fernandez-Aranda F (2015) The processing of food stimuli in abnormal eating: a systematic review of electrophysiology. Eur Eat Disord Rev 23(4):251–261. https://doi.org/10.1002/erv.2366
Michel CM, Koenig T (2018) EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: a review. Neuroimage 180(Pt B):577–593. https://doi.org/10.1016/j.neuroimage.2017.11.062
Stam CJ, Nolte G, Daffertshofer A (2007) Phase lag index: assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources. Hum Brain Mapp 28(11):1178–1193. https://doi.org/10.1002/hbm.20346
Pascual-Marqui RD, Lehmann D, Koukkou M, Kochi K, Anderer P, Saletu B, Tanaka H, Hirata K, John ER, Prichep L, Biscay-Lirio R, Kinoshita T (2011) Assessing interactions in the brain with exact low-resolution electromagnetic tomography. Philos Trans A Math Phys Eng Sci 369(1952):3768–3784. https://doi.org/10.1098/rsta.2011.0081
Oldfield RC (1971) The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9(1):97–113. https://doi.org/10.1016/0028-3932(71)90067-4
Bohon C, Stice E (2011) Reward abnormalities among women with full and subthreshold bulimia nervosa: a functional magnetic resonance imaging study. Int J Eat Disord 44(7):585–595. https://doi.org/10.1002/eat.20869
Ro O, Reas DL, Stedal K (2015) Eating disorder examination questionnaire (EDE-Q) in Norwegian adults: discrimination between female controls and eating disorder patients. Eur Eat Disord Rev 23(5):408–412. https://doi.org/10.1002/erv.2372
Fairburn CG, Beglin SJ (2008) \Cognitive behavior therapy and eating disorders. In: Fairburn CG (ed) Eating disorder examination questionnaire (EDE-Q 6.0). Guiford Press, New York, pp 309–313
Berg KC, Peterson CB, Frazier P, Crow SJ (2012) Psychometric evaluation of the eating disorder examination and eating disorder examination-questionnaire: a systematic review of the literature. Int J Eat Disord 45(3):428–438. https://doi.org/10.1002/eat.20931
Mond JM, Hay PJ, Rodgers B, Owen C, Beumont PJ (2004) Validity of the eating disorder examination questionnaire (EDE-Q) in screening for eating disorders in community samples. Behav Res Ther 42(5):551–567. https://doi.org/10.1016/S0005-7967(03)00161-X
Fairburn CG, Beglin SJ (1994) Assessment of eating disorders: interview or self-report questionnaire? Int J Eat Disord 16(4):363–370
Calugi S, Milanese C, Sartirana M, El Ghoch M, Sartori F, Geccherle E, Coppini A, Franchini C, Dalle Grave R (2017) The eating disorder examination questionnaire: reliability and validity of the Italian version. Eat Weight Disord 22(3):509–514. https://doi.org/10.1007/s40519-016-0276-6
Derogatis L (1977) The SCL-90-R Manual. Clinical psychometric research unit. Johns Hopkins University School of Medicine, Baltimore
Prunas A, Sarno I, Preti E, Madeddu F, Perugini M (2012) Psychometric properties of the Italian version of the SCL-90-R: a study on a large community sample. Eur Psychiatry 27(8):591–597. https://doi.org/10.1016/j.eurpsy.2010.12.006
Dakanalis A, Clerici M, Caslini M, Gaudio S, Serino S, Riva G, Carra G (2016) Predictors of initiation and persistence of recurrent binge eating and inappropriate weight compensatory behaviors in college men. Int J Eat Disord 49(6):581–590. https://doi.org/10.1002/eat.22535
Gearhardt AN, Yokum S, Orr PT, Stice E, Corbin WR, Brownell KD (2011) Neural correlates of food addiction. Arch Gen Psychiatry 68(8):808–816. https://doi.org/10.1001/archgenpsychiatry.2011.32
Imperatori C, Fabbricatore M, Innamorati M, Farina B, Quintiliani MI, Lamis DA, Mazzucchi E, Contardi A, Vollono C, Della Marca G (2015) Modification of EEG functional connectivity and EEG power spectra in overweight and obese patients with food addiction: an eLORETA study. Brain Imaging Behav 9(4):703–716. https://doi.org/10.1007/s11682-014-9324-x
Imperatori C, Farina B, Brunetti R, Gnoni V, Testani E, Quintiliani MI, Del Gatto C, Indraccolo A, Contardi A, Speranza AM, Della Marca G (2013) Modifications of EEG power spectra in mesial temporal lobe during n-back tasks of increasing difficulty. A sLORETA study. Front Hum Neurosci 7:109. https://doi.org/10.3389/fnhum.2013.00109
Imperatori C, Farina B, Todini F, Di Blasi C, Mazzucchi E, Brunetti V, Della Marca G (2019) Abnormal EEG power spectra in acute transient global amnesia: a quantitative EEG study. Clin EEG Neurosci 50(3):188–195. https://doi.org/10.1177/1550059418780780
Imperatori C, Della Marca G, Brunetti R, Carbone GA, Massullo C, Valenti EM, Amoroso N, Maestoso G, Contardi A, Farina B (2016) Default mode network alterations in alexithymia: an EEG power spectra and connectivity study. Sci Rep 6:36653. https://doi.org/10.1038/srep36653
Imperatori C, Brunetti R, Farina B, Speranza AM, Losurdo A, Testani E, Contardi A, Della Marca G (2014) Modification of EEG power spectra and EEG connectivity in autobiographical memory: a sLORETA study. Cognit Process 15(3):351–361. https://doi.org/10.1007/s10339-014-0605-5
Horacek J, Brunovsky M, Novak T, Skrdlantova L, Klirova M, Bubenikova-Valesova V, Krajca V, Tislerova B, Kopecek M, Spaniel F, Mohr P, Hoschl C (2007) Effect of low-frequency rTMS on electromagnetic tomography (LORETA) and regional brain metabolism (PET) in schizophrenia patients with auditory hallucinations. Neuropsychobiology 55(3–4):132–142. https://doi.org/10.1159/000106055
De Ridder D, Vanneste S, Kovacs S, Sunaert S, Dom G (2011) Transient alcohol craving suppression by rTMS of dorsal anterior cingulate: an fMRI and LORETA EEG study. Neurosci Lett 496(1):5–10. https://doi.org/10.1016/j.neulet.2011.03.074
Kreiter AK, Singer W (1992) Oscillatory Neuronal responses in the visual cortex of the awake macaque monkey. Eur J Neurosci 4(4):369–375. https://doi.org/10.1111/j.1460-9568.1992.tb00884.x
Murphy TH, Blatter LA, Wier WG, Baraban JM (1992) Spontaneous synchronous synaptic calcium transients in cultured cortical neurons. J Neurosci 12(12):4834–4845. https://doi.org/10.1109/TBME.2009.2028419
De Peralta-Menendez RG, Gonzalez-Andino SL (1998) A critical analysis of linear inverse solutions to the neuroelectromagnetic inverse problem. IEEE Trans Biomed Eng 45(4):440–448. https://doi.org/10.1109/10.664200
De Peralta-Menendez RG, Gonzalez Andino SL, Morand S, Michel CM, Landis T (2000) Imaging the electrical activity of the brain: ELECTRA. Hum Brain Mapp 9(1):1–12
Norusis MJ (2011) IBM SPSS statistics 19 procedures companion. Addison Wesley, Texas
Rundle-Thiele S, Kubacki K, Tkaczynski A, Parkinson J (2015) Using two-step cluster analysis to identify homogeneous physical activity groups. Market Intell Plan 33(4):522–537. https://doi.org/10.1108/MIP-03-2014-0050
Bacher J, Wenzig K, Vogler M (2004) SPSS Two Step Cluster-a first evaluation. Available at: www.statisticalinnovations.com/products/twostep.pdf Accessed 8 July 2019.
Nichols TE, Holmes AP (2002) Nonparametric permutation tests for functional neuroimaging: a primer with examples. Hum Brain Mapp 15(1):1–25. https://doi.org/10.1002/hbm.1058
Luce KH, Crowther JH, Pole M (2008) Eating disorder examination questionnaire (EDE-Q): norms for undergraduate women. Int J Eat Disord 41(3):273–276. https://doi.org/10.1002/eat.20504
Dakanalis A, Colmegna F, Clerici M (2019) Establishing the optimal cut-off and discriminant validity of the EDE-Q in Italian Adults. Paper presented at the Regional (Milan) Psychiatry Conference, Milan, Italy, pp 13–16.
Brooks SJ, O’Daly O, Uher R, Friederich HC, Giampietro V, Brammer M, Williams SC, Schioth HB, Treasure J, Campbell IC (2012) Thinking about eating food activates visual cortex with reduced bilateral cerebellar activation in females with anorexia nervosa: an fMRI study. PLoS One 7(3):e34000. https://doi.org/10.1371/journal.pone.0034000
Brooks SJ, O’Daly OG, Uher R, Friederich HC, Giampietro V, Brammer M, Williams SC, Schioth HB, Treasure J, Campbell IC (2011) Differential neural responses to food images in women with bulimia versus anorexia nervosa. PLoS One 6(7):e22259. https://doi.org/10.1371/journal.pone.0022259
Uher R, Murphy T, Brammer MJ, Dalgleish T, Phillips ML, Ng VW, Andrew CM, Williams SC, Campbell IC, Treasure J (2004) Medial prefrontal cortex activity associated with symptom provocation in eating disorders. Am J Psychiatry 161(7):1238–1246. https://doi.org/10.1176/appi.ajp.161.7.1238
Andersen SB, Moore RA, Venables L, Corr PJ (2009) Electrophysiological correlates of anxious rumination. Int J Psychophysiol 71(2):156–169. https://doi.org/10.1016/j.ijpsycho.2008.09.004
Smith KE, Mason TB, Lavender JM (2018) Rumination and eating disorder psychopathology: a meta-analysis. Clin Psychol Rev 61:9–23. https://doi.org/10.1016/j.cpr.2018.03.004
Smith KE, Mason TB, Crosby RD, Cao L, Leonard RC, Wetterneck CT, Smith BER, Farrell NR, Riemann BC, Wonderlich SA, Moessner M (2019) A comparative network analysis of eating disorder psychopathology and co-occurring depression and anxiety symptoms before and after treatment. Psychol Med 49(2):314–324. https://doi.org/10.1017/S0033291718000867
Riva G, Gaggioli A, Dakanalis A (2013) From body dissatisfaction to obesity: how virtual reality may improve obesity prevention and treatment in adolescents. Stud Health Technol Inform 184:356–362. https://doi.org/10.3233/978-1-61499-209-7-356
Vocks S, Legenbauer T, Heil A (2007) Food intake affects state body image: impact of restrained eating patterns and concerns about eating, weight and shape. Appetite 49(2):467–475. https://doi.org/10.1016/j.appet.2007.03.006
Pla-Sanjuanelo J, Ferrer-Garcia M, Gutierrez-Maldonado J, Riva G, Andreu-Gracia A, Dakanalis A, Fernandez-Aranda F, Forcano L, Ribas-Sabate J, Riesco N, Rus-Calafell M, Sanchez I, Sanchez-Planell L (2015) Identifying specific cues and contexts related to bingeing behavior for the development of effective virtual environments. Appetite 87:81–89. https://doi.org/10.1016/j.appet.2014.12.098
Pla-Sanjuanelo J, Ferrer-Garcia M, Vilalta-Abella F, Riva G, Dakanalis A, Ribas-Sabate J, Andreu-Gracia A, Fernandez-Aranda F, Sanchez-Diaz I, Escandon-Nagel N, Gomez-Tricio O, Tena V, Gutierrez-Maldonado J (2017) Testing virtual reality-based cue-exposure software: Which cue-elicited responses best discriminate between patients with eating disorders and healthy controls? Eat Weight Disord. https://doi.org/10.1007/s40519-017-0419-4
Hatch A, Madden S, Kohn MR, Clarke S, Touyz S, Gordon E, Williams LM (2011) EEG in adolescent anorexia nervosa: impact of refeeding and weight gain. Int J Eat Disord 44(1):65–75. https://doi.org/10.1002/eat.20777
Engels AS, Heller W, Mohanty A, Herrington JD, Banich MT, Webb AG, Miller GA (2007) Specificity of regional brain activity in anxiety types during emotion processing. Psychophysiology 44(3):352–363. https://doi.org/10.1111/j.1469-8986.2007.00518
Rodriguez G, Babiloni C, Brugnolo A, Del Percio C, Cerro F, Gabrielli F, Girtler N, Nobili F, Murialdo G, Rossini PM, Rossi DS, Baruzzi C, Ferro AM (2007) Cortical sources of awake scalp EEG in eating disorders. Clin Neurophysiol 118(6):1213–1222. https://doi.org/10.1016/j.clinph.2007.02.022
Fitzgibbon ML, Sanchez-Johnsen LA, Martinovich Z (2003) A test of the continuity perspective across bulimic and binge eating pathology. Int J Eat Disord 34(1):83–97. https://doi.org/10.1002/eat.10160
Quick V, Berg KC, Bucchianeri MM, Byrd-Bredbenner C (2014) Identification of eating disorder pathology in college students: a comparison of DSM-IV-TR and DSM-5 diagnostic criteria. Adv Eat Disord 2(2):112–124. https://doi.org/10.1080/21662630.2013.869388
Kuczmarski MF, Kuczmarski RJ, Najjar M (2001) Effects of age on validity of self-reported height, weight, and body mass index: findings from the third national health and nutrition examination survey, 1988-1994. J Am Diet Assoc 101(1):28–34. https://doi.org/10.1016/S0002-8223(01)00008-6
Stommel M, Schoenborn CA (2009) Accuracy and usefulness of BMI measures based on self-reported weight and height: findings from the NHANES and NHIS 2001-2006. BMC Public Health 9:421. https://doi.org/10.1186/1471-2458-9-421
Timko CA, De Filipp L, Dakanalis A (2019) Sex differences in adolescent anorexia and bulimia nervosa: beyond the signs and symptoms. Curr Psychiatry Rep 21(1):1. https://doi.org/10.1007/s11920-019-0988-1
Imperatori C, Mancini M, Della Marca G, Valenti EM, Farina B (2018) Feedback-based treatments for eating disorders and related symptoms: a systematic review of the literature. Nutrients. https://doi.org/10.3390/nu10111806
Author information
Authors and Affiliations
Contributions
CI study design, data collection, data analysis, interpretation of results, manuscript writing; CM study design, data collection, interpretation of results; GAC data collection, data analysis, interpretation of results; BF study design, interpretation of results, supervision; FC data collection, data analysis, review of literature; IR data analysis, review of literature, manuscript editing; EDG data collection, manuscript editing, review of literature; MC study design, interpretation of results, supervision; AD study design, data analysis, interpretation of results, manuscript writing. All authors have approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
This research received no specific grant from any funding agency, commercial or not-for-profit sectors and the authors state that there is no conflict of interest.
Ethical approval
The study was performed in compliance with the Helsinki Declaration of 1975, as revised in 2008, and approved by the local ethics review board of the European University of Rome (Rome, Italy).
Informed consent
All participants provided written informed consent.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Imperatori, C., Massullo, C., Carbone, G.A. et al. Electroencephalographic (EEG) alterations in young women with high subclinical eating pathology levels: a quantitative EEG study. Eat Weight Disord 25, 1631–1642 (2020). https://doi.org/10.1007/s40519-019-00801-w
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40519-019-00801-w