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.
Study Type
OBSERVATIONAL
Enrollment
30
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.
Centre Hospitalier Guillaume Regnier
Rennes, Ile Et Vilaine, France
RECRUITINGCompare 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
Time frame: during 4 days
speech biomarkers :Temporal, Source, Prosodic and Spectral speech features automatically derived from the audio recordings of 3 cognitive tasks.
To identify a set of speech biomarkers, specific to OABD (compared to HC), 3 cognitive tasks , verbal learning (with the Rey Auditory Verbal Learning Task), semantic verbal fluency task and narrative storytelling are implemented on the Milli® platform. Each of these tasks enable to derive temporal, source, prosodic and spectral features from remote recordings.
Time frame: baseline and only for OABD participants at 12 month and 36 month
MRI derived cerebral features, specific to OABD participants compared to Healthy control
measure cortical thickness and sub-cortical volumes to identify degenerative alterations measure water diffusion in several cellular compartments and appropriate multi compartment modeling (MCM) such as Neurite Orientation Diffusion and Dispersion Index (NODDI) to identify Inflammation Measure tissue blood flow Using arterial spin labeling (ASL) to identify Vascular health
Time frame: at Day 4
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