NCT06914284

Brief Summary

The goal of this clinical trial is to identify reliable markers of apathy in elderly subjects with bipolar disorder, age between 70 and 85 years, in order to accurately identify subjects at high risk of progressing to dementia by measuring motor activity (actimetrics), recorded language and analysing brain changes (MRI). Actimetry is the measurement and recording of body movements using an actimeter. This device is worn on the wrist and contains sensors capable of measuring and recording all movements, including those of very low intensity. An automated speech analysis using artificial intelligence is used to detect low-intensity anomalies, and we want to test whether individual differences correspond to individual differences in brain anatomy and function. Researchers will compare elderly subjects with bipolar disorder and healthy volunteer, age between 70 and 85 years. Participants will be asked to:

  • Perform an MRI
  • Complete 3 cognitive tests: verbal memory, verbal fluency and an emotional storytelling task, in which you will be asked to describe a memory orally using positive, negative and neutral emotions.
  • wear an actimeter on your wrist for 4 days.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
30

participants targeted

Target at below P25 for all trials

Timeline
32mo left

Started Jul 2024

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress41%
Jul 2024Jan 2029

Study Start

First participant enrolled

July 1, 2024

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

September 3, 2024

Completed
7 months until next milestone

First Posted

Study publicly available on registry

April 6, 2025

Completed
9 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

January 1, 2026

Completed
3 years until next milestone

Study Completion

Last participant's last visit for all outcomes

January 1, 2029

Expected
Last Updated

April 6, 2025

Status Verified

April 1, 2025

Enrollment Period

1.5 years

First QC Date

September 3, 2024

Last Update Submit

April 3, 2025

Conditions

Keywords

ApathyActimetryNeurobehavioral markerCognitive declineOld Age Bipolar DisorderMRISpeech marker

Outcome Measures

Primary Outcomes (1)

  • Compare Actigraphic measures acquired by OABD participants and with those of Healthy controls (HC)

    These very complex and highly dimensional signals are reduced to a sum, for a given period of time, of the variations in acceleration (in g/sec) after pre-processing (band-pass filtering) for each participants (OABD and healthy controls

    during 4 days

Secondary Outcomes (2)

  • speech biomarkers :Temporal, Source, Prosodic and Spectral speech features automatically derived from the audio recordings of 3 cognitive tasks.

    baseline and only for OABD participants at 12 month and 36 month

  • MRI derived cerebral features, specific to OABD participants compared to Healthy control

    at Day 4

Study Arms (2)

Old Age Bipolar Disorder

the strategy procedure will consist of using actigraphy and MRI. The wGT3X-BT actigraph (wGT3x-BT) will be worn on the wrist for 5 days. The set up is made at Day 1. The actigraph will be programmed to automatically switch off after 4 full days of use (96 hours). After 5 full days (120 hours), the participant returns to the research center so the data are downloaded on a secured computer dedicated to store and analyse the data. At day 5, a MRI will be perform.The total acquisition time is about 45 minutes: * Degenerative: anatomical 3DT1 (\~5 minutes acquisition). * Inflammation: multicompartment imaging models (\~15 minutes acquisition) such as the Neurite Orientation and Dispersion Index (NODDI) are used to quantify in-vivo microstructure inflammation. * Vascular: 3D Fluid-attenuated inversion recovery (FLAIR \~5 minutes acquisition) and Arterial Spin labelling (ASL, \~8 minutes acquisition) * Functional connectivity: rs BOLD (\~10 minutes acquisition)

Other: Actigraphy and MRI

Healthy Controls

the strategy procedure will consist of using actigraphy and MRI. The wGT3X-BT actigraph (wGT3x-BT) will be worn on the wrist for 5 days. The set up is made at Day 1. The actigraph will be programmed to automatically switch off after 4 full days of use (96 hours). After 5 full days (120 hours), the participant returns to the research center so the data are downloaded on a secured computer dedicated to store and analyse the data. At day 5, a MRI will be perform.The total acquisition time is about 45 minutes: * Degenerative: anatomical 3DT1 (\~5 minutes acquisition). * Inflammation: multicompartment imaging models (\~15 minutes acquisition) such as the Neurite Orientation and Dispersion Index (NODDI) are used to quantify in-vivo microstructure inflammation. * Vascular: 3D Fluid-attenuated inversion recovery (FLAIR \~5 minutes acquisition) and Arterial Spin labelling (ASL, \~8 minutes acquisition) * Functional connectivity: rs BOLD (\~10 minutes acquisition)

Other: Actigraphy and MRI

Interventions

All participants will wear a wGT3X-BT actigraph (wGT3x-BT) for 4 days. Actigraphs are collected back at Day 4, after full 96 hours, when coming to the MRI platform. There, they will undergo 45 minutes MRI that acquire MRI signals to quantify degenerative, inflammatory, vascular and functional cerebral features.

Healthy ControlsOld Age Bipolar Disorder

Eligibility Criteria

Age70 Years - 85 Years
Sexall
Healthy VolunteersYes
Age GroupsOlder Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients treated in the old-age psychiatry department of the Pôle Hospitalo-Universitaire de Psychiatrie Adulte (PHUPA) for OABD may be offered participation in the study. Eligible patients according to the inclusion criteria will be recruited during standard visits at CHGR. Informed consent along with a document describing the study will be presented during visit. Healthy volunteers will be recruited from the patient's relatives and/or via posters and/or the CHGR's internal networks.

You may qualify if:

  • Population: Age between 70 and 85 years-old, living at home (Participants living in nursing homes are not included).
  • Condition: OABD type 1, type 2 and type 3 assessed by the DSM5 criteria
  • Stable: no MDE or hypomanic state within the last 6 months
  • Ambulatory setting only
  • General condition: Successful Gait speed test from the Short Physical Performance Battery (SPPB): beingable to walk 4 meters in 4 seconds (SPPB NIH Toolbox)44
  • Person affiliated to a social security regime
  • Patients who have given their free, informed and written consent to take part in the study

You may not qualify if:

  • Psychiatric conditions and or co-morbidities
  • Unipolar depression
  • Recurrent unipolar depression
  • Substance use disorder according to DSM5 criteria. Benzodiaepine and/or z-drugs dependence are accepted.
  • Neurological and cerebral co-morbidities
  • Major Cognitive Disorder: significant cognitive decline characterized by extensive cognitive tests or at least a standardized clinical evaluation AND at least loss of autonomy in complex instrumental daily living function, not related to delirium (DSM5 criteria)
  • Medical history of known degenerative disorders: Alzheimer's disease, Lobar Degenerative Fronto-temporal disorders, Lewy Body disease, corticobasal degenerative disorder, Supranuclear Palsy, epilepsy.
  • Medical history of known Parkinson's disease (according to the Movement Disorder Society (MDS)45 criteria)
  • Medical history of known stroke
  • Severe Parkinsonism (defined by MDS-Unified Parkinson's Disease Rating Scale46 \> 20)
  • MRI contra-indications: metallic implants, severe claustrophobia
  • Adults under legal protection (safeguard of justice, curatorship, guardianship), persons deprived of their liberty.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Centre Hospitalier Guillaume Regnier

Rennes, Ile Et Vilaine, 35000, France

RECRUITING

Related Publications (15)

  • Wu YT, Beiser AS, Breteler MMB, Fratiglioni L, Helmer C, Hendrie HC, Honda H, Ikram MA, Langa KM, Lobo A, Matthews FE, Ohara T, Peres K, Qiu C, Seshadri S, Sjolund BM, Skoog I, Brayne C. The changing prevalence and incidence of dementia over time - current evidence. Nat Rev Neurol. 2017 Jun;13(6):327-339. doi: 10.1038/nrneurol.2017.63. Epub 2017 May 12.

    PMID: 28497805BACKGROUND
  • Richmond-Rakerd LS, D'Souza S, Milne BJ, Caspi A, Moffitt TE. Longitudinal Associations of Mental Disorders With Dementia: 30-Year Analysis of 1.7 Million New Zealand Citizens. JAMA Psychiatry. 2022 Apr 1;79(4):333-340. doi: 10.1001/jamapsychiatry.2021.4377.

    PMID: 35171209BACKGROUND
  • Diniz BS, Butters MA, Albert SM, Dew MA, Reynolds CF 3rd. Late-life depression and risk of vascular dementia and Alzheimer's disease: systematic review and meta-analysis of community-based cohort studies. Br J Psychiatry. 2013 May;202(5):329-35. doi: 10.1192/bjp.bp.112.118307.

    PMID: 23637108BACKGROUND
  • Byers AL, Yaffe K. Depression and risk of developing dementia. Nat Rev Neurol. 2011 May 3;7(6):323-31. doi: 10.1038/nrneurol.2011.60.

    PMID: 21537355BACKGROUND
  • Wu JJ, Wang HX, Yao W, Yan Z, Pei JJ. Late-life depression and the risk of dementia in 14 countries: a 10-year follow-up study from the Survey of Health, Ageing and Retirement in Europe. J Affect Disord. 2020 Sep 1;274:671-677. doi: 10.1016/j.jad.2020.05.059. Epub 2020 May 26.

    PMID: 32664001BACKGROUND
  • Kaup AR, Byers AL, Falvey C, Simonsick EM, Satterfield S, Ayonayon HN, Smagula SF, Rubin SM, Yaffe K. Trajectories of Depressive Symptoms in Older Adults and Risk of Dementia. JAMA Psychiatry. 2016 May 1;73(5):525-31. doi: 10.1001/jamapsychiatry.2016.0004.

    PMID: 26982217BACKGROUND
  • Almeida OP, McCaul K, Hankey GJ, Yeap BB, Golledge J, Flicker L. Risk of dementia and death in community-dwelling older men with bipolar disorder. Br J Psychiatry. 2016 Aug;209(2):121-6. doi: 10.1192/bjp.bp.115.180059. Epub 2016 Jun 9.

    PMID: 27482038BACKGROUND
  • Velosa J, Delgado A, Finger E, Berk M, Kapczinski F, de Azevedo Cardoso T. Risk of dementia in bipolar disorder and the interplay of lithium: a systematic review and meta-analyses. Acta Psychiatr Scand. 2020 Jun;141(6):510-521. doi: 10.1111/acps.13153. Epub 2020 Feb 11.

    PMID: 31954065BACKGROUND
  • Almeida OP, Hankey GJ, Yeap BB, Golledge J, Flicker L. Older men with bipolar disorder: Clinical associations with early and late onset illness. Int J Geriatr Psychiatry. 2018 Dec;33(12):1613-1619. doi: 10.1002/gps.4957. Epub 2018 Jul 17.

    PMID: 30015397BACKGROUND
  • John A, Saunders R, Desai R, Bell G, Fearn C, Buckman JEJ, Brown B, Nurock S, Michael S, Ware P, Marchant NL, Aguirre E, Rio M, Cooper C, Pilling S, Richards M, Stott J. Associations between psychological therapy outcomes for depression and incidence of dementia. Psychol Med. 2023 Aug;53(11):4869-4879. doi: 10.1017/S0033291722002537. Epub 2022 Sep 15.

    PMID: 36106698BACKGROUND
  • Stott J, Saunders R, Desai R, Bell G, Fearn C, Buckman JEJ, Brown B, Nurock S, Michael S, Ware P, Marchant NL, Aguirre E, Rio M, Cooper C, Pilling S, Richards M, John A. Associations between psychological intervention for anxiety disorders and risk of dementia: a prospective cohort study using national health-care records data in England. Lancet Healthy Longev. 2023 Jan;4(1):e12-e22. doi: 10.1016/S2666-7568(22)00242-2. Epub 2022 Dec 9.

    PMID: 36509102BACKGROUND
  • Alexopoulos GS. Depression in the elderly. Lancet. 2005 Jun 4-10;365(9475):1961-70. doi: 10.1016/S0140-6736(05)66665-2.

    PMID: 15936426BACKGROUND
  • van Dalen JW, van Wanrooij LL, Moll van Charante EP, Brayne C, van Gool WA, Richard E. Association of Apathy With Risk of Incident Dementia: A Systematic Review and Meta-analysis. JAMA Psychiatry. 2018 Oct 1;75(10):1012-1021. doi: 10.1001/jamapsychiatry.2018.1877.

    PMID: 30027214BACKGROUND
  • Ruthirakuhan M, Herrmann N, Vieira D, Gallagher D, Lanctot KL. The Roles of Apathy and Depression in Predicting Alzheimer Disease: A Longitudinal Analysis in Older Adults With Mild Cognitive Impairment. Am J Geriatr Psychiatry. 2019 Aug;27(8):873-882. doi: 10.1016/j.jagp.2019.02.003. Epub 2019 Feb 7.

    PMID: 30910421BACKGROUND
  • Dujardin K, Sockeel P, Delliaux M, Destee A, Defebvre L. Apathy may herald cognitive decline and dementia in Parkinson's disease. Mov Disord. 2009 Dec 15;24(16):2391-7. doi: 10.1002/mds.22843.

    PMID: 19908317BACKGROUND

MeSH Terms

Conditions

LethargyBipolar DisorderCognitive Dysfunction

Interventions

ActigraphyMagnetic Resonance Spectroscopy

Condition Hierarchy (Ancestors)

Neurobehavioral ManifestationsNeurologic ManifestationsNervous System DiseasesSigns and SymptomsPathological Conditions, Signs and SymptomsBipolar and Related DisordersMood DisordersMental DisordersCognition DisordersNeurocognitive Disorders

Intervention Hierarchy (Ancestors)

Monitoring, PhysiologicDiagnostic Techniques and ProceduresDiagnosisAccelerometryInvestigative TechniquesSpectrum AnalysisChemistry Techniques, Analytical

Study Officials

  • Gabriel RG ROBERT

    HC Guillaume Regnier

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

September 3, 2024

First Posted

April 6, 2025

Study Start

July 1, 2024

Primary Completion

January 1, 2026

Study Completion (Estimated)

January 1, 2029

Last Updated

April 6, 2025

Record last verified: 2025-04

Locations