Outcome prediction with a social cognitive battery: a multicenter longitudinal study

The interest in social cognition in schizophrenia is justified by the relationship between deficits in these skills and negative functional outcomes. Although assessment batteries have already been described, there is no consensus about which measures are useful in predicting patient functioning or quality of life (QoL). We investigated a set of five measures of recognition of facial emotions, theory of mind (ToM), and empathy in a cohort of 143 patients with schizophrenia or schizoaffective disorder at inclusion and, amongst whom 79 were reassessed 1 year later. The distribution was satisfactory for the TREF (Facial Emotion Recognition Task), V-SIR (Versailles-Situational Intention Reading), and QCAE (Questionnaire of Cognitive and Affective Empathy). Internal consistency was satisfactory for the TREF, V-SIR, V-Comics (Versailles Intention Attribution Task), and QCAE. Sensitivity to change was acceptable for the TREF. The TREF and V-SIR showed a cross-sectional relationship with functioning beyond the clinical symptoms of schizophrenia but not beyond neurocognition. Moreover, the TREF and V-SIR at inclusion could not predict functioning one year later, whereas most neurocognitive and clinical dimensions at inclusion could. Finally, only affective QCAE showed a significant cross-sectional, but not longitudinal, association with QoL. In conclusion, the TREF had satisfactory psychometric properties and showed a cross-sectional, but not longitudinal, association with objective outcome measures, thus appearing to be reliable in clinical practice and research. The V-SIR also showed promising psychometric properties, despite a possible weakness to detect change. However, these measures should be interpreted within the context of the good predictive power of the neurocognitive and clinical status on the outcome.Sorbonne Universités à Paris pour l'Enseignement et la RechercheFondaMental-Cohorte

Brain imaging in RBD.

Neuroimaging studies can provide in vivo insights to the early structural and functional brain changes in patients with idiopathic RBD (iRBD) and may help give a prognosis of disease course. This chapter summarizes the major findings of neuroimaging studies in iRBD, a specific prodromal stage of Parkinson’s disease (PD) and other α-synucleinopathies. Molecular imaging techniques, magnetic resonance imaging (MRI), and transcranial sonography (TCS) are all discussed

Neuromelanin detection by magnetic resonance imaging (MRI) and its promise as a biomarker for Parkinson’s disease

Abstract The diagnosis of Parkinson’s disease (PD) occurs after pathogenesis is advanced and many substantia nigra (SN) dopamine neurons have already died. Now that therapies to block this neuronal loss are under development, it is imperative that the disease be diagnosed at earlier stages and that the response to therapies is monitored. Recent studies suggest this can be accomplished by magnetic resonance imaging (MRI) detection of neuromelanin (NM), the characteristic pigment of SN dopaminergic, and locus coeruleus (LC) noradrenergic neurons. NM is an autophagic product synthesized via oxidation of catecholamines and subsequent reactions, and in the SN and LC it increases linearly during normal aging. In PD, however, the pigment is lost when SN and LC neurons die. As shown nearly 25 years ago by Zecca and colleagues, NM’s avid binding of iron provides a paramagnetic source to enable electron and nuclear magnetic resonance detection, and thus a means for safe and noninvasive measure in living human brain. Recent technical improvements now provide a means for MRI to differentiate between PD patients and age-matched healthy controls, and should be able to identify changes in SN NM with age in individuals. We discuss how MRI detects NM and how this approach might be improved. We suggest that MRI of NM can be used to confirm PD diagnosis and monitor disease progression. We recommend that for subjects at risk for PD, and perhaps generally for older people, that MRI sequences performed at regular intervals can provide a pre-clinical means to detect presymptomatic PD