A growing literature indicates that unipolar depression and bipolar depression are associated with alterations in grey matter volume. However, it is unclear to what degree these patterns of morphometric change reflect symptom dimensions. Here, we aimed to predict depressive symptoms and hypomanic symptoms based on patterns of grey matter volume using machine learning.. To read the full article, log in using your SSSFT NHS OpenAthens details. SSOTP - You can request a copy of this article by replying to this email. Please ensure you are clear which article you are requesting.