Impact of Stimulants and In-Scanner Motion on Attentive Task Performance in ADHD (ADHD_NFB)
ADHD_NFB
1 other identifier
observational
30
1 country
1
Brief Summary
The goal of this interventional study is to learn the effects that stimulant medication prescribed to ADHD individuals has in their performance of attentive tasks, as measured by images and data collected through neuroimaging (fMRI) while also implementing new motion-correcting software. The main questions it aims to answer are:
- 1.How do the use of stimulants affect brain activity and motion in fMRI research in ADHD studies?
- 2.Can neurofeedback, an attentive task using real-time brain activity, engage the same brain circuits as seen with stimulant medication in individuals with ADHD?
- 3.Be asked to complete at least 4 fMRI sessions, two of which will include neurofeedback
- 4.Be asked to abstain from taking stimulant medication on the day of two of these fMRI visits
- 5.Complete attentive tasks while in the scanner that will activate target brain regions of interest
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Feb 2025
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 9, 2025
CompletedFirst Posted
Study publicly available on registry
January 17, 2025
CompletedStudy Start
First participant enrolled
February 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 1, 2026
January 17, 2025
January 1, 2025
1.3 years
January 9, 2025
January 13, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Neurofeedback mimicking the effects of stimulants
Compare whether neurofeedback can mimic the effects of stimulants by engaging similar attentive brain circuits and providing a normalized activation effect similar to that of stimulants (measured in units of neural activation, with intensity based on p-value of significance, and by a z-score obtained in real-time during the task). This data will be collected during the completion of the neurofeeback task while in the scanner.
Through data collection and analysis, an average of 1 year
Performance on Attentive Tasks
Performance on other attentive tasks (e.g., reaction time in seconds, accuracy of response), different from neurofeedback, will be observed while on stimulant medication, compared to performance on the same tasks while refraining from stimulant medication.
Through data collection and analysis, an average of 1 year
Precise motion correction as a better accountant of ADHD mechanisms
Will compare results from data collected using fMRI and a new software that more precisely corrects for motion artifacts in a slice-by-slice manner to results previously reported for ADHD studies using more lenient fMRI motion artifact measures. Some of these comparisons will include more or less brain activation of the same regions, more precise windows of activation, etc.
Through data collection and analysis, an average of 1 year
Study Arms (1)
Stimulant Medication for ADHD
Arm 1 will require that all participants refrain from taking their usual ADHD stimulant medication on the day of at least two of the study visits, one of which includes neurofeedback. Participants may resume their medication regimen upon completion of the study visit.
Interventions
Neurofeedback is an attentive task where participants are shown their real-time brain signals while in the scanner with the use of a representation, such as a rocket moving towards a portal. Participants are able to increase this brain signal by more purposefully engaging certain brain regions, and this is reflected in the representation that they see. Ultimately, this study is interested in whether neurofeedback can replicate the effects of stimulant medication in ADHD.
Eligibility Criteria
The study population will be largely recruited through the Boston Children Hospital's resources, such as a participant registry or from clinical practice, only applicable to individuals who fit the eligibility criteria listed above.
You may qualify if:
- Age 12 or older
- Able to follow verbal and written instructions in native language
- Pre-existing clinical ADHD diagnosis (with or without comorbid anxiety diagnoses)
- Pre-existing medication regimen of methylphenidate or amphetamine salt derivatives with no changes in the last month
You may not qualify if:
- Known visual impairment preventing test administration
- Contraindication of inability to participate in fMRI scanning (per MRI screening form)
- Known, self-reported non-incidental structural brain abnormality
- Autism Spectrum Disorder or Obsessive-Compulsive Disorder
- Non-verbal
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Boston Children's Hospital @2BP
Brookline, Massachusetts, 02445, United States
Related Publications (12)
Hein IM, De Vries MC, Troost PW, Meynen G, Van Goudoever JB, Lindauer RJ. Informed consent instead of assent is appropriate in children from the age of twelve: Policy implications of new findings on children's competence to consent to clinical research. BMC Med Ethics. 2015 Nov 9;16(1):76. doi: 10.1186/s12910-015-0067-z.
PMID: 26553304BACKGROUNDIsles AF. Understood consent versus informed consent: a new paradigm for obtaining consent for pediatric research studies. Front Pediatr. 2013 Nov 21;1:38. doi: 10.3389/fped.2013.00038.
PMID: 24400284BACKGROUNDSulzer J, Haller S, Scharnowski F, Weiskopf N, Birbaumer N, Blefari ML, Bruehl AB, Cohen LG, DeCharms RC, Gassert R, Goebel R, Herwig U, LaConte S, Linden D, Luft A, Seifritz E, Sitaram R. Real-time fMRI neurofeedback: progress and challenges. Neuroimage. 2013 Aug 1;76:386-99. doi: 10.1016/j.neuroimage.2013.03.033. Epub 2013 Mar 27.
PMID: 23541800BACKGROUNDWu ZM, Bralten J, An L, Cao QJ, Cao XH, Sun L, Liu L, Yang L, Mennes M, Zang YF, Franke B, Hoogman M, Wang YF. Verbal working memory-related functional connectivity alterations in boys with attention-deficit/hyperactivity disorder and the effects of methylphenidate. J Psychopharmacol. 2017 Aug;31(8):1061-1069. doi: 10.1177/0269881117715607. Epub 2017 Jun 28.
PMID: 28656805BACKGROUNDBerberat J, Huggenberger R, Montali M, Gruber P, Pircher A, Lovblad KO, Killer HE, Remonda L. Brain activation patterns in medicated versus medication-naive adults with attention-deficit hyperactivity disorder during fMRI tasks of motor inhibition and cognitive switching. BMC Med Imaging. 2021 Mar 19;21(1):53. doi: 10.1186/s12880-021-00579-3.
PMID: 33740903BACKGROUNDRubia K, Alegria AA, Cubillo AI, Smith AB, Brammer MJ, Radua J. Effects of stimulants on brain function in attention-deficit/hyperactivity disorder: a systematic review and meta-analysis. Biol Psychiatry. 2014 Oct 15;76(8):616-28. doi: 10.1016/j.biopsych.2013.10.016. Epub 2013 Oct 24.
PMID: 24314347BACKGROUNDSitaram R, Ros T, Stoeckel L, Haller S, Scharnowski F, Lewis-Peacock J, Weiskopf N, Blefari ML, Rana M, Oblak E, Birbaumer N, Sulzer J. Closed-loop brain training: the science of neurofeedback. Nat Rev Neurosci. 2017 Feb;18(2):86-100. doi: 10.1038/nrn.2016.164. Epub 2016 Dec 22.
PMID: 28003656BACKGROUNDFair DA, Nigg JT, Iyer S, Bathula D, Mills KL, Dosenbach NU, Schlaggar BL, Mennes M, Gutman D, Bangaru S, Buitelaar JK, Dickstein DP, Di Martino A, Kennedy DN, Kelly C, Luna B, Schweitzer JB, Velanova K, Wang YF, Mostofsky S, Castellanos FX, Milham MP. Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data. Front Syst Neurosci. 2013 Feb 4;6:80. doi: 10.3389/fnsys.2012.00080. eCollection 2012.
PMID: 23382713BACKGROUNDDziemian S, Baranczuk-Turska Z, Langer N. Association between attention-deficit/hyperactivity disorder symptom severity and white matter integrity moderated by in-scanner head motion. Transl Psychiatry. 2022 Oct 6;12(1):434. doi: 10.1038/s41398-022-02117-3.
PMID: 36202807BACKGROUNDCouvy-Duchesne B, Ebejer JL, Gillespie NA, Duffy DL, Hickie IB, Thompson PM, Martin NG, de Zubicaray GI, McMahon KL, Medland SE, Wright MJ. Head Motion and Inattention/Hyperactivity Share Common Genetic Influences: Implications for fMRI Studies of ADHD. PLoS One. 2016 Jan 8;11(1):e0146271. doi: 10.1371/journal.pone.0146271. eCollection 2016.
PMID: 26745144BACKGROUNDMakowski C, Lepage M, Evans AC. Head motion: the dirty little secret of neuroimaging in psychiatry. J Psychiatry Neurosci. 2019 Jan 1;44(1):62-68. doi: 10.1503/jpn.180022.
PMID: 30565907BACKGROUNDYakupov R, Lei J, Hoffmann MB, Speck O. False fMRI activation after motion correction. Hum Brain Mapp. 2017 Sep;38(9):4497-4510. doi: 10.1002/hbm.23677. Epub 2017 Jun 5.
PMID: 28580597BACKGROUND
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator and Medical Physician
Study Record Dates
First Submitted
January 9, 2025
First Posted
January 17, 2025
Study Start
February 1, 2025
Primary Completion (Estimated)
June 1, 2026
Study Completion (Estimated)
December 1, 2026
Last Updated
January 17, 2025
Record last verified: 2025-01
Data Sharing
- IPD Sharing
- Will not share