Decoding Emotional Dynamics in Bipolar Disorder
Decoding Emotional Dynamics Driving Mood Instability in Bipolar Disorder
2 other identifiers
interventional
72
1 country
1
Brief Summary
The goal of this neuroimaging study is to investigate how emotional states fluctuate in people with bipolar disorder (BD) compared to healthy controls, and to understand the neural mechanisms driving mood instability. The main questions it aims to answer are:
- Can emotional states be decoded from fMRI brain activity using machine learning?
- Do individuals with BD show more unstable emotional state trajectories (e.g., high metastability, low fractal scaling) than healthy controls?
- Does amplifying positive emotions stabilize brain and emotional dynamics in BD? Researchers will compare individuals with bipolar disorder (BD-I or BD-II, currently depressed or mixed state) to healthy controls without psychiatric history to see whether the BD group shows greater fluctuations in emotional brain activity and whether positive emotion regulation strategies normalize this instability. Participants will:
- Complete self-report questionnaires on mood, emotion regulation, anxiety, and daily functioning.
- Recall and provide short descriptions of personal positive and negative memories to be used in the MRI task.
- Undergo fMRI scanning, including:
- Resting-state scans
- A Think and Regulate Affective States Task (TReAT) where they recall autobiographical memories, rate emotions, and practice amplifying positive mood.
- Structural and diffusion MRI for brain mapping.
- Receive physiological monitoring (heart rate, respiration) during scanning.
- Complete post-scan surveys on emotional state and task experience. This research will help clarify how the brain supports or disrupts emotional regulation in bipolar disorder and may inform the development of personalized, neurobiologically informed treatments for mood instability.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Oct 2025
Typical duration for not_applicable
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
October 23, 2025
CompletedFirst Posted
Study publicly available on registry
October 28, 2025
CompletedStudy Start
First participant enrolled
October 30, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 1, 2028
ExpectedStudy Completion
Last participant's last visit for all outcomes
November 1, 2028
April 17, 2026
April 1, 2026
3 years
October 23, 2025
April 15, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Decoded Emotional State Trajectory
The decoded emotional state time course derived from fMRI during the Think and Regulate Affective States Task (TReAT). Temporal irregularity will be quantified using permutation entropy to assess emotional state instability in individuals with bipolar disorder compared to healthy controls.
Day 2
Metastability of brain network states
Metastability of brain network states will be calculated from whole-brain fMRI data to characterize variability in emotional states.
Day 2
Secondary Outcomes (2)
Brain regional contributions to the transition energy of emotional brain state changes
Day 2
Fractal scaling of brain state changes
Day 2
Study Arms (1)
Decoding Emotional Dynamics
EXPERIMENTALAll participants complete the same two-session protocol: a preparation visit with diagnostic interviews and questionnaires, followed by an MRI session including resting-state and task-based scans. During the Think and Regulate Affective States Task (TReAT), participants recall personal positive and negative memories, rate their emotions, and practice positive emotion amplification strategies. Physiological signals are recorded throughout. Both individuals with bipolar disorder and healthy controls complete identical procedures for comparison of brain and emotional dynamics.
Interventions
Participants complete the Think and Regulate Affective States Task (TReAT) during fMRI scanning. This task presents brief cues of participants' own autobiographical memories, four positive and four negative, to evoke corresponding emotional states. While viewing these cues, participants alternate between thinking about the memory, rating emotional valence and arousal, and practicing positive emotion amplification strategies. Each session includes multiple blocks of "Think," "Rate," "Regulate," "Attention," and "Rest" periods. Physiological measures (heart rate and respiration) are recorded concurrently. The task is designed to decode emotional states from fMRI data and evaluate the neural impact of positive emotion regulation in bipolar disorder compared to healthy controls.
Eligibility Criteria
You may qualify if:
- Age 18 to 65 years
- Male or female
- BMI between 18.5 and 38.0 kg/m2 at Screening
- Capable of understanding and complying with study requirements
- Fluent in English
- Able to provide informed consent
- BD Group:
- Meet the DSM-5 diagnostic criteria for BD-I or BD-II who are currently depressed or mixed state defined by the Mini-International Neuropsychiatric Interview (MINI)
- Moderate or greater depressive symptom severity (MADRS ≥ 15 or PHQ-9 ≥ 10)
- HC Group:
- No current or past psychiatric disorder (verified by MINI)
You may not qualify if:
- No telephone or easy access to a telephone
- Significant medical problems as identified by the medical screening questionnaire: e.g. a history of unstable liver or renal insufficiency; glaucoma; significant and unstable cardiac, vascular, pulmonary, gastrointestinal, endocrine, neurologic, hematologic, rheumatologic, or metabolic disturbance; or any other condition that, in the opinion of the investigator, would make participation not be in the best interest (e.g., compromise the well-being) of the participant or that could prevent, limit, or confound the protocol-specified assessments
- A positive test for drugs of abuse, including alcohol (breath test), cocaine, opiates, amphetamines, methamphetamines, phencyclidine, benzodiazepines, barbiturates, methadone, and oxycodone
- Drug or alcohol intoxication (based on positive UTOX or breathalyzer test at screening or study session) or reported alcohol/drug withdrawal, last cannabis use must be \>48 hours prior to study session.
- Current DSM-5 diagnosis of a psychosis spectrum disorder or moderate to severe substance use disorder
- Moderate to severe traumatic brain injury or other neurocognitive disorder with evidence of neurological deficits, neurological disorders, or severe or unstable medical conditions that might be compromised by participation in the study (to be determined by primary care provider)
- Current significant suicidal ideation or suicide attempt within the past 3 months.
- Change in the dose or prescription of a medication within the 6 weeks before enrolling in the study that could affect brain functioning, e.g., anxiolytics, antipsychotics, antidepressants, or mood stabilizers
- Taking drugs that affect the fMRI hemodynamic response (e.g., methylphenidate, acetazolamide, excessive caffeine intake \> 1000 mg/day)
- MRI contraindications as documented on the MR Environment Screening
- Unwillingness or inability to complete any of the major aspects of the study protocol, including magnetic resonance imaging (i.e., due to claustrophobia), or behavioral assessment. However, failing to complete some individual aspects of these assessment sessions will be acceptable (i.e., being unwilling to answer individual items on some questionnaires or being unwilling to complete a behavioral task)
- Non-correctable vision or hearing problems
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Laureate Institute for Brain Research
Tulsa, Oklahoma, 74135, United States
Related Publications (16)
Betella A, Verschure PF. The Affective Slider: A Digital Self-Assessment Scale for the Measurement of Human Emotions. PLoS One. 2016 Feb 5;11(2):e0148037. doi: 10.1371/journal.pone.0148037. eCollection 2016.
PMID: 26849361BACKGROUNDJubran A. Pulse oximetry. Crit Care. 2015 Jul 16;19(1):272. doi: 10.1186/s13054-015-0984-8.
PMID: 26179876BACKGROUNDKryza-Lacombe M, Pearson N, Lyubomirsky S, Stein MB, Wiggins JL, Taylor CT. Changes in neural reward processing following Amplification of Positivity treatment for depression and anxiety: Preliminary findings from a randomized waitlist controlled trial. Behav Res Ther. 2021 Jul;142:103860. doi: 10.1016/j.brat.2021.103860. Epub 2021 Apr 15.
PMID: 33894554BACKGROUNDNolen-Hoeksema S, Morrow J. A prospective study of depression and posttraumatic stress symptoms after a natural disaster: the 1989 Loma Prieta Earthquake. J Pers Soc Psychol. 1991 Jul;61(1):115-21. doi: 10.1037//0022-3514.61.1.115.
PMID: 1890582BACKGROUNDSheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, Hergueta T, Baker R, Dunbar GC. The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry. 1998;59 Suppl 20:22-33;quiz 34-57.
PMID: 9881538BACKGROUNDMisaki M, Phillips R, Zotev V, Wong CK, Wurfel BE, Krueger F, Feldner M, Bodurka J. Brain activity mediators of PTSD symptom reduction during real-time fMRI amygdala neurofeedback emotional training. Neuroimage Clin. 2019;24:102047. doi: 10.1016/j.nicl.2019.102047. Epub 2019 Oct 22.
PMID: 31711031BACKGROUNDTaylor CT, Lyubomirsky S, Stein MB. Upregulating the positive affect system in anxiety and depression: Outcomes of a positive activity intervention. Depress Anxiety. 2017 Mar;34(3):267-280. doi: 10.1002/da.22593. Epub 2017 Jan 6.
PMID: 28060463BACKGROUNDHancock F, Cabral J, Luppi AI, Rosas FE, Mediano PAM, Dipasquale O, Turkheimer FE. Metastability, fractal scaling, and synergistic information processing: What phase relationships reveal about intrinsic brain activity. Neuroimage. 2022 Oct 1;259:119433. doi: 10.1016/j.neuroimage.2022.119433. Epub 2022 Jul 1.
PMID: 35781077BACKGROUNDGu S, Pasqualetti F, Cieslak M, Telesford QK, Yu AB, Kahn AE, Medaglia JD, Vettel JM, Miller MB, Grafton ST, Bassett DS. Controllability of structural brain networks. Nat Commun. 2015 Oct 1;6:8414. doi: 10.1038/ncomms9414.
PMID: 26423222BACKGROUNDMisaki, M., et al. Decoding Temporal Dynamics of Emotion Regulation: Reinterpretation, Distraction, and Mindfulness. in OHBM 2025 - Annual Meeting Organization for Human Brain Mapping. 2025. Brisbane, Australia.
BACKGROUNDDu M, Zhang L, Li L, Ji E, Han X, Huang G, Liang Z, Shi L, Yang H, Zhang Z. Abnormal transitions of dynamic functional connectivity states in bipolar disorder: A whole-brain resting-state fMRI study. J Affect Disord. 2021 Jun 15;289:7-15. doi: 10.1016/j.jad.2021.04.005. Epub 2021 Apr 20.
PMID: 33906006BACKGROUNDHan KM, De Berardis D, Fornaro M, Kim YK. Differentiating between bipolar and unipolar depression in functional and structural MRI studies. Prog Neuropsychopharmacol Biol Psychiatry. 2019 Apr 20;91:20-27. doi: 10.1016/j.pnpbp.2018.03.022. Epub 2018 Mar 28.
PMID: 29601896BACKGROUNDHouenou J, Frommberger J, Carde S, Glasbrenner M, Diener C, Leboyer M, Wessa M. Neuroimaging-based markers of bipolar disorder: evidence from two meta-analyses. J Affect Disord. 2011 Aug;132(3):344-55. doi: 10.1016/j.jad.2011.03.016. Epub 2011 Apr 5.
PMID: 21470688BACKGROUNDJaniri D, Frangou S. Precision neuroimaging biomarkers for bipolar disorder. Int Rev Psychiatry. 2022 Nov-Dec;34(7-8):727-735. doi: 10.1080/09540261.2022.2106121. Epub 2022 Aug 30.
PMID: 36786111BACKGROUNDGruber J, Purcell AL, Perna MJ, Mikels JA. Letting go of the bad: deficit in maintaining negative, but not positive, emotion in bipolar disorder. Emotion. 2013 Feb;13(1):168-75. doi: 10.1037/a0029381. Epub 2012 Aug 6.
PMID: 22866884BACKGROUNDOrtiz A, Alda M. The perils of being too stable: mood regulation in bipolar disorder. J Psychiatry Neurosci. 2018 Nov 1;43(6):363-365. doi: 10.1503/jpn.180183. No abstract available.
PMID: 30371048BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Investigator
Study Record Dates
First Submitted
October 23, 2025
First Posted
October 28, 2025
Study Start
October 30, 2025
Primary Completion (Estimated)
November 1, 2028
Study Completion (Estimated)
November 1, 2028
Last Updated
April 17, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, ANALYTIC CODE
- Access Criteria
- Qualified researchers with approved data use agreements may request access through the National Institute of Mental Health (NIMH) Data Archive (NDA). Access requires institutional affiliation, completion of the NDA Data Use Certification process, and agreement to comply with all confidentiality, security, and ethical use requirements. Data will be shared only in de-identified form through the NDA's secure access system; no direct identifiers or contact information will be provided.
De-identified individual participant data (IPD) from this study may be shared through public research repositories such as the National Institute of Mental Health (NIMH) Data Archive (NDA) following study completion. Shared data may include de-identified participant demographics, behavioral and questionnaire responses, functional and structural neuroimaging data, and study participation details. Data will be stripped of all identifying information in compliance with HIPAA and institutional standards for de-identification. To enable data sharing, information required to generate a Global Unique Identifier (GUID) will be collected according to NDA specifications. All data will be stored securely on encrypted servers and retained for at least three years after study completion, in accordance with federal and institutional requirements. Study findings will be disseminated through peer-reviewed journal publications, scientific conferences, and public data repositories.