Eating Disorders Clinical Trial
— ANfMRIOfficial title:
Comparing Neural Responses to Explicit and Subliminal Food Images in EDNOS Patients and Healthy Controls Using fMRI
| NCT number | NCT01882023 |
| Other study ID # | anfmri40 |
| Secondary ID | |
| Status | Recruiting |
| Phase | |
| First received | |
| Last updated | |
| Start date | May 2011 |
| Est. completion date | December 2027 |
Currently, there is not a robust, testable neural model available that sufficiently explains the development and maintenance of anorexia nervosa (AN) a severe, often fatal, adolescent-onset eating disorder. Using state of the art neuroimaging and neuropsychological techniques, our objective is to identify neural mechanisms in the adolescent brain underlying AN. This is of high clinical relevance in as much as it will provide a robust platform for a diagnostic battery so that physicians can identify those who are prone to develop AN at a very early stage of life. The aim of this research plan is: 1) To develop knowledge of cognitive dysfunction in adolescents who have recently been diagnosed with AN, with a battery of cognitive tests during a series of clinical visits. 2) To provide a scientific basis for our knowledge about how the brain of an adolescent with an eating disorder differs from that of a healthy adolescent, by conducting functional and structural magnetic resonance imaging on adolescent females with AN.
| Status | Recruiting |
| Enrollment | 150 |
| Est. completion date | December 2027 |
| Est. primary completion date | December 2025 |
| Accepts healthy volunteers | Accepts Healthy Volunteers |
| Gender | Female |
| Age group | 13 Years to 18 Years |
| Eligibility | Inclusion Criteria: - Females - Age 13 - 18 yrs - Right handed - For controls: BMI within the "normal" range - For patients: Be admitted to treatment for an eating disorder Exclusion Criteria: - On medication - Suffering from any other illnesses - Left handed - Metal implants which can impact the fMRI image - Severe claustrophobia - Pregnancy - Smoker - Regular alcohol drinker |
| Country | Name | City | State |
|---|---|---|---|
| Sweden | Röntgenavdelningen, Uppsala Academic Hospital | Uppsala | Uppsala Län |
| Lead Sponsor | Collaborator |
|---|---|
| Uppsala University |
Sweden,
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Brooks SJ, Barker GJ, O'Daly OG, Brammer M, Williams SC, Benedict C, Schioth HB, Treasure J, Campbell IC. Restraint of appetite and reduced regional brain volumes in anorexia nervosa: a voxel-based morphometric study. BMC Psychiatry. 2011 Nov 17;11:179. doi: 10.1186/1471-244X-11-179. — View Citation
Brooks SJ, Benedict C, Burgos J, Kempton MJ, Kullberg J, Nordenskjold R, Kilander L, Nylander R, Larsson EM, Johansson L, Ahlstrom H, Lind L, Schioth HB. Late-life obesity is associated with smaller global and regional gray matter volumes: a voxel-based morphometric study. Int J Obes (Lond). 2013 Feb;37(2):230-6. doi: 10.1038/ijo.2012.13. Epub 2012 Jan 31. — View Citation
Brooks SJ, O'Daly O, Uher R, Friederich HC, Giampietro V, Brammer M, Williams SC, Schioth HB, Treasure J, Campbell IC. Thinking about eating food activates visual cortex with reduced bilateral cerebellar activation in females with anorexia nervosa: an fMRI study. PLoS One. 2012;7(3):e34000. doi: 10.1371/journal.pone.0034000. Epub 2012 Mar 27. — View Citation
Brooks SJ, O'Daly OG, Uher R, Friederich HC, Giampietro V, Brammer M, Williams SC, Schioth HB, Treasure J, Campbell IC. Differential neural responses to food images in women with bulimia versus anorexia nervosa. PLoS One. 2011;6(7):e22259. doi: 10.1371/journal.pone.0022259. Epub 2011 Jul 20. — View Citation
Brooks SJ, O'Daly OG, Uher R, Schioth HB, Treasure J, Campbell IC. Subliminal food images compromise superior working memory performance in women with restricting anorexia nervosa. Conscious Cogn. 2012 Jun;21(2):751-63. doi: 10.1016/j.concog.2012.02.006. Epub 2012 Mar 11. — View Citation
Gaudio S, Carducci F, Piervincenzi C, Olivo G, Schioth HB. Altered thalamo-cortical and occipital-parietal- temporal-frontal white matter connections in patients with anorexia and bulimia nervosa: a systematic review of diffusion tensor imaging studies. J Psychiatry Neurosci. 2019 Sep 1;44(5):324-339. doi: 10.1503/jpn.180121. — View Citation
Gaudio S, Olivo G, Beomonte Zobel B, Schioth HB. Altered cerebellar-insular-parietal-cingular subnetwork in adolescents in the earliest stages of anorexia nervosa: a network-based statistic analysis. Transl Psychiatry. 2018 Jul 6;8(1):127. doi: 10.1038/s41398-018-0173-z. — View Citation
Olivo G, Solstrand Dahlberg L, Wiemerslage L, Swenne I, Zhukovsky C, Salonen-Ros H, Larsson EM, Gaudio S, Brooks SJ, Schioth HB. Atypical anorexia nervosa is not related to brain structural changes in newly diagnosed adolescent patients. Int J Eat Disord. 2018 Jan;51(1):39-45. doi: 10.1002/eat.22805. Epub 2017 Dec 7. — View Citation
Olivo G, Swenne I, Zhukovsky C, Tuunainen AK, Saaid A, Salonen-Ros H, Larsson EM, Brooks SJ, Schioth HB. Preserved white matter microstructure in adolescent patients with atypical anorexia nervosa. Int J Eat Disord. 2019 Feb;52(2):166-174. doi: 10.1002/eat.23012. Epub 2019 Jan 24. — View Citation
Olivo G, Swenne I, Zhukovsky C, Tuunainen AK, Salonen-Ros H, Larsson EM, Gaudio S, Brooks SJ, Schioth HB. Reduced resting-state connectivity in areas involved in processing of face-related social cues in female adolescents with atypical anorexia nervosa. Transl Psychiatry. 2018 Dec 13;8(1):275. doi: 10.1038/s41398-018-0333-1. — View Citation
Olivo G, Wiemerslage L, Swenne I, Zhukovsky C, Salonen-Ros H, Larsson EM, Gaudio S, Brooks SJ, Schioth HB. Correction: Limbic-thalamo-cortical projections and reward-related circuitry integrity affects eating behavior: A longitudinal DTI study in adolescents with restrictive eating disorders. PLoS One. 2017 Apr 20;12(4):e0176646. doi: 10.1371/journal.pone.0176646. eCollection 2017. — View Citation
Olivo G, Wiemerslage L, Swenne I, Zhukowsky C, Salonen-Ros H, Larsson EM, Gaudio S, Brooks SJ, Schioth HB. Limbic-thalamo-cortical projections and reward-related circuitry integrity affects eating behavior: A longitudinal DTI study in adolescents with restrictive eating disorders. PLoS One. 2017 Mar 1;12(3):e0172129. doi: 10.1371/journal.pone.0172129. eCollection 2017. Erratum In: PLoS One. 2017 Apr 20;12 (4):e0176646. — View Citation
Olivo G, Zhou W, Sundbom M, Zhukovsky C, Hogenkamp P, Nikontovic L, Stark J, Wiemerslage L, Larsson EM, Benedict C, Schioth HB. Resting-state brain connectivity changes in obese women after Roux-en-Y gastric bypass surgery: A longitudinal study. Sci Rep. 2017 Jul 26;7(1):6616. doi: 10.1038/s41598-017-06663-5. — View Citation
Van den Eynde F, Claudino AM, Mogg A, Horrell L, Stahl D, Ribeiro W, Uher R, Campbell I, Schmidt U. Repetitive transcranial magnetic stimulation reduces cue-induced food craving in bulimic disorders. Biol Psychiatry. 2010 Apr 15;67(8):793-5. doi: 10.1016/j.biopsych.2009.11.023. Epub 2010 Jan 8. — View Citation
* Note: There are 15 references in all — Click here to view all references
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | Measure functional differences in adolescents with eating disorders and healthy controls. | The analysis of each groups' neural activity will be carried out with statistical parametric mapping (SPM) implemented in Matlab. This will compare the statistical parametric maps between the group using ANOVAs, ANCOVAs and t-tests. | This is measured during scanning shortly after patient admittance to treatment, and one year later. Controls have their scans shortly after being recruited to the study, then again 1 year later. | |
| Secondary | Measure structural differences in adolescents with eating disorders and healthy controls. | To determine any structural differences, matlab will be used. With this one can upload the T1 structural scanning data and determine the volume of each subject's brain, and even compute the volume of each tissue (CBF, white matter and grey matter). | This is measured during scanning shortly after patient admittance to treatment, and one year later. Controls have their scans shortly after being recruited to the study, then again 1 year later. | |
| Secondary | Develop knowledge of cognitive dysfunction in adolescents with eating disorders. | Any cognitive dysfunction will be measured with a working memory task in the scanner (N-back task). Further, various clinical variables will be measured with the use of questionnaires such as Eating Disorder Examination Questionnaire (EDEQ), Perceived Stress Scale (PSS), Montgomery-Åsberg Depression Rate Scale (MADRS), Eating Disorder Inventory (EDI), Barratts Impulsivity Scale (BIS), Obsessive Compulsive Inventory - Revised (OCI R), and Multidimensional Perfectionism Scale (MPS). | The cognitive measures are conducted shortly after recruitment of the study. The subjects are given the questionnaires upon their first meeting, and are posted back to us shortly after. | |
| Secondary | To examine whether clinical variables can predict neural activity. | The analysis of each groups' neural activity will be carried out with statistical parametric mapping (SPM) implemented in Matlab. This will compare the statistical parametric maps between the group using ANOVAs, ANCOVAs and t-tests. The clinical variables will be measured with the use of questionnaires such as Eating Disorder Examination Questionnaire (EDEQ), Perceived Stress Scale (PSS), Montgomery-Åsberg Depression Rate Scale (MADRS), Eating Disorder Inventory (EDI), Barratts Impulsivity Scale (BIS), Obsessive Compulsive Inventory - Revised (OCI R), and Multidimensional Perfectionism Scale (MPS). These will be used in a multiple regression analysis carried out in SPM to see whether there is any correlation between the scores of the questionnaires and the brain activity of the groups. | The neural activity is measured during scanning shortly after subject recruitment, and one year later. The clinical measurements are measured with questionnaires given to them on their first meeting after recruitment, which are later posted back to us. |
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