Lithium Response in Bipolar Disorder is Associated with Focal Adhesion and PI3K-Akt Networks: A Multi-omics Replication Study
Translational Psychiatry(2024)
Department of Psychiatry | Univ Calif San Diego | Charite Univ Med Berlin | Dokkyo Med Univ | NIMH | Discipline of Psychiatry | Unit of Clinical Pharmacology | Univ Barcelona | Geneva Univ Hosp | Karolinska Inst | Tech Univ Dresden | Univ Paris Cite | Med Univ Graz | Department of Health Sciences Research | The Neuromodulation Unit | Department of Psychiatry & Center of Sleep Disorders | Univ Bonn | Campus for Ageing and Vitality | Douglas Mental Health University Institute | Psychiatric Genetic Unit | Department of Psychiatry and Behavioral Sciences | Ludwig Maximilians Univ Munchen | Department of Adult Psychiatry | Department of Psychiatry and Psychology | Mental Illness Research Theme | Pôle de Psychiatrie Générale Universitaire | Biometric Psychiatric Genetics Research Unit | Mood Disorders Center of Ottawa | Georg August Univ Gottingen | Natl Inst Mental Hlth | Inserm U955 | Univ Lorraine | Laboratory for Molecular Dynamics of Mental Disorders | Department of Psychiatry and Psychotherapeutic Medicine | Institute of Epidemiology and Preventive Medicine | Gothenburg Univ | Hop Albert Chenevier Henri Mondor | Department of Pharmacy | Department of Medical Sciences and Public Health | Department of Clinical Neurosciences | Department of Biomedicine | School of Psychiatry | Neurosciences Section | National Institute of Mental Health | Ludwig-Maximilians-University of Munich | Department of Biomedical Sciences | Goethe Univ | Heidelberg Univ | Montreal Neurological Institute and Hospital | Bipolar Center | The University of Queensland | Department of Mental Health
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

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