BACKGROUND: Structural brain abnormalities have been described in individuals with an at-risk mental state for psychosis. However, the neuroanatomical underpinnings of the early and late at-risk mental state relative to clinical outcome remain unclear. AIMS: To investigate grey matter volume abnormalities in participants in a putatively early or late at-risk mental state relative to their prospective clinical outcome. METHOD: Voxel-based morphometry of magnetic resonance imaging data from 20 people with a putatively early at-risk mental state (ARMS-E group) and 26 people with a late at-risk mental state (ARMS-L group) as well as from 15 participants with at-risk mental states with subsequent disease transition (ARMS-T group) and 18 participants without subsequent disease transition (ARMS-NT group) were compared with 75 healthy volunteers. RESULTS: Compared with healthy controls, ARMS-L participants had grey matter volume losses in frontotemporolimbic structures. Participants in the ARMS-E group showed bilateral temporolimbic alterations and subtle prefrontal abnormalities. Participants in the ARMS-T group had prefrontal alterations relative to those in the ARMS-NT group and in the healthy controls that overlapped with the findings in the ARMS-L group. CONCLUSIONS: Brain alterations associated with the early at-risk mental state may relate to an elevated susceptibility to psychosis, whereas alterations underlying the late at-risk mental state may indicate a subsequent transition to psychosis.
BACKGROUND:Structural brain abnormalities have been described in individuals with an at-risk mental state for psychosis. However, the neuroanatomical underpinnings of the early and late at-risk mental state relative to clinical outcome remain unclear. AIMS: To investigate grey matter volume abnormalities in participants in a putatively early or late at-risk mental state relative to their prospective clinical outcome. METHOD: Voxel-based morphometry of magnetic resonance imaging data from 20 people with a putatively early at-risk mental state (ARMS-E group) and 26 people with a late at-risk mental state (ARMS-L group) as well as from 15 participants with at-risk mental states with subsequent disease transition (ARMS-T group) and 18 participants without subsequent disease transition (ARMS-NT group) were compared with 75 healthy volunteers. RESULTS: Compared with healthy controls, ARMS-L participants had grey matter volume losses in frontotemporolimbic structures. Participants in the ARMS-E group showed bilateral temporolimbic alterations and subtle prefrontal abnormalities. Participants in the ARMS-T group had prefrontal alterations relative to those in the ARMS-NT group and in the healthy controls that overlapped with the findings in the ARMS-L group. CONCLUSIONS: Brain alterations associated with the early at-risk mental state may relate to an elevated susceptibility to psychosis, whereas alterations underlying the late at-risk mental state may indicate a subsequent transition to psychosis.
Authors: Nikolaos Koutsouleris; Christos Davatzikos; Ronald Bottlender; Katja Patschurek-Kliche; Johanna Scheuerecker; Petra Decker; Christian Gaser; Hans-Jürgen Möller; Eva M Meisenzahl Journal: Schizophr Bull Date: 2011-05-16 Impact factor: 9.306
Authors: Nikolaos Koutsouleris; Christian Gaser; Katja Patschurek-Kliche; Johanna Scheuerecker; Ronald Bottlender; Petra Decker; Gisela Schmitt; Maximilian Reiser; Hans-Jürgen Möller; Eva M Meisenzahl Journal: Hum Brain Mapp Date: 2011-08-30 Impact factor: 5.038
Authors: Paul Klauser; Juan Zhou; Joseph K W Lim; Joann S Poh; Hui Zheng; Han Ying Tng; Ranga Krishnan; Jimmy Lee; Richard S E Keefe; R Alison Adcock; Stephen J Wood; Alex Fornito; Michael W L Chee Journal: Schizophr Bull Date: 2015-03-04 Impact factor: 9.306
Authors: Ingo Frommann; Ralf Pukrop; Jürgen Brinkmeyer; Andreas Bechdolf; Stephan Ruhrmann; Julia Berning; Petra Decker; Michael Riedel; Hans-Jürgen Möller; Wolfgang Wölwer; Wolfgang Gaebel; Joachim Klosterkötter; Wolfgang Maier; Michael Wagner Journal: Schizophr Bull Date: 2010-01-06 Impact factor: 9.306