People with schizophrenia can experience very different symptoms, and those symptoms can impact their lives in many ways, yet all are diagnosed under the umbrella of “schizophrenia”. One way of understanding this umbrella better could be to look at the brain. The brain looks and works very differently in people with schizophrenia compared to those without schizophrenia, but could these differences in the brain ultimately lead to such a variety of symptoms? Clinical neuroscience research has struggled with this question for years, but looking at the brain alone is not enough to understand how symptoms develop for every person over time. A new technology called machine-learning makes it possible to look at this development more closely. Machine-learning groups together people whose brains look and work similarly and then gives us an idea of how their symptoms develop over time. Could machine-learning help us look at schizophrenia in a new way? 🔗En savoir plus sur Science POP : https://www.ircm.qc.ca/fr/sciencepop Le concours est rendu possible grâce au soutien du Fonds de recherche du Québec (FRQ), du programme NovaScience du ministère de l'Économie, de l'Innovation et de l'Énergie et de la Fondation de l'IRCM.