Near-real-time digital methods for biomarker research -EEG – fNIRS – Physio- of emotional reactivity and regulation: context of bipolar disorder.

Bipolar disorder is a chronic adult psychiatric disorder affecting between 0.5 and 1% of the population, with many unmet medical needs in terms of treatment. In this context, CEA-LETI’s Laboratory of Systems for the Person (LS2P) proposes to address the crucial challenge of monitoring patients in ambulatory or home conditions; The objective of the thesis is to address bipolar disorder for the first time by identifying new physiological and numerical biomarkers using electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) – two modalities that can potentially be integrated into a dedicated medical device (DM) worn by the person. These two modalities provide complementary information, respectively electrical activity and cortical hemodynamic response. The patient database is acquired by commercial synchronised EEG and fNIRS systems in collaboration with the University Hospital of Grenoble. The numerical methods developed in this thesis will fill a methodological gap in the multiparametric analysis of real-time data – addressing both data pre-processing, spatio-temporal and/or frequency feature extraction, multi-modal data fusion, intra- and inter-patient data registration, and classification.

At the end of this work – the PhD student should be able to define new biomarkers of interest that can be accessed continuously, allowing for near real-time monitoring of the patient’s emotional states. He will then be able to specify the constraints and requirements of an integrated multi-modality medical device, allowing the transfer of the protocol set up in ambulatory care.

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