Qiyong Gong, Huaiqiang Sun

The primary aim of Psychoradiology is to translate findings from brain imaging research studies that identified brain alterations in patient groups into accurate diagnosis at an early stage of illness, prediction of prognosis before treatment, and guidance for selection of effective treatments that target patient-relevant pathophysiological features. Artificial intelligence (AI) is currently the best tool to achieve this goal. The present talk will therefore briefly summarize recent advances and related challenges in psychoradiological studies of AI applied to mental disorders. The results of these studies suggest that AI could be a powerful tool in assisting the clinicians in providing care for patients with mental disorders. In addition, present talk will also discuss the challenges of AI application in psychoradiology as well as the possible directions for future research.

Kristina Pelkola

Olivier Baledent

Cerebral hydrodynamics knowledge has benefited considerably from the introduction of phase-contrast magnetic resonance imaging (PCMRI), the unique technique to investigate CSF and cerebral blood flows oscillations. Using post-processing software, key parameters of flow can be easily calculated. These flows data can be functional information’s complementary to the morphological imaging to better investigate the cranio-spinal system. The objective of this presentation is to describe the power and the limit of such clinical 2D PCMRI protocol concerning CSF and blood flow investigations in different healthy and pathological populations.