Will machine learning applied to neuroimaging in bipolar disorder help the clinician? A critical review and methodological suggestions.
Laurie-Anne ClaudeJosselin HouenouEdouard DuchesnayPauline FavrePublished in: Bipolar disorders (2020)
Although there are strong methodological limitations in previous studies and an important need for replication in large multicentric samples, the conclusions of our review bring hope of future computer-aided diagnosis of BD and pave the way for other applications, such as treatment response prediction. To reinforce the reliability of future results we provide methodological suggestions for good practice in conducting and reporting MRI-based ML studies in BD.