Basic symptoms and gray matter volumes of patients at clinical high risk for psychosis

2020 ◽  
pp. 1-9 ◽  
Author(s):  
Daniela Hubl ◽  
Chantal Michel ◽  
Frauke Schultze-Lutter ◽  
Martinus Hauf ◽  
Benno G. Schimmelmann ◽  
...  

Abstract Background Clinical high-risk (CHR) for psychosis is indicated by ultra-high risk (UHR) and basic symptom (BS) criteria; however, conversion rates are highest when both UHR and BS criteria are fulfilled (UHR&BS). While BSs are considered the most immediate expression of neurobiological aberrations underlying the development of psychosis, research on neurobiological correlates of BS is scarce. Methods We investigated gray matter volumes (GMV) of 20 regions of interest (ROI) previously associated with UHR criteria in 90 patients from the Bern early detection service: clinical controls (CC), first-episode psychosis (FEP), UHR, BS and UHR&BS. We expected lowest GMV in FEP and UHR&BS, and highest volume in CC with UHR and BS in-between. Results Significantly, lower GMV was detected in FEP and UHR&BS patients relative to CC with no other significant between-group differences. When ROIs were analyzed separately, seven showed a significant group effect (FDR corrected), with five (inferior parietal, medial orbitofrontal, lateral occipital, middle temporal, precuneus) showing significantly lower GM volume in the FEP and/or UHR&BS groups than in the CC group (Bonferroni corrected). In the CHR group, only COGDIS scores correlated negatively with cortical volumes. Conclusions This is the first study to demonstrate that patients who fulfill both UHR and BS criteria – a population that has been associated with higher conversion rates – exhibit more severe GMV reductions relative to those who satisfy BS or UHR criteria alone. This result was mediated by the BS in the UHR&BS group, as only the severity of BS was linked to GMV reductions.

Author(s):  
Meike Heurich ◽  
Melanie Föcking ◽  
David Mongan ◽  
Gerard Cagney ◽  
David R. Cotter

AbstractEarly identification and treatment significantly improve clinical outcomes of psychotic disorders. Recent studies identified protein components of the complement and coagulation systems as key pathways implicated in psychosis. These specific protein alterations are integral to the inflammatory response and can begin years before the onset of clinical symptoms of psychotic disorder. Critically, they have recently been shown to predict the transition from clinical high risk to first-episode psychosis, enabling stratification of individuals who are most likely to transition to psychotic disorder from those who are not. This reinforces the concept that the psychosis spectrum is likely a central nervous system manifestation of systemic changes and highlights the need to investigate plasma proteins as diagnostic or prognostic biomarkers and pathophysiological mediators. In this review, we integrate evidence of alterations in proteins belonging to the complement and coagulation protein systems, including the coagulation, anticoagulation, and fibrinolytic pathways and their dysregulation in psychosis, into a consolidated mechanism that could be integral to the progression and manifestation of psychosis. We consolidate the findings of altered blood proteins relevant for progression to psychotic disorders, using data from longitudinal studies of the general population in addition to clinical high-risk (CHR) individuals transitioning to psychotic disorder. These are compared to markers identified from first-episode psychosis and schizophrenia as well as other psychosis spectrum disorders. We propose the novel hypothesis that altered complement and coagulation plasma levels enhance their pathways’ activating capacities, while low levels observed in key regulatory components contribute to excessive activation observed in patients. This hypothesis will require future testing through a range of experimental paradigms, and if upheld, complement and coagulation pathways or specific proteins could be useful diagnostic or prognostic tools and targets for early intervention and preventive strategies.


2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S93-S93
Author(s):  
Irina Falkenberg ◽  
Huai-Hsuan Tseng ◽  
Gemma Modinos ◽  
Barbara Wild ◽  
Philip McGuire ◽  
...  

Abstract Background Studies indicate that people with schizophrenia and first-episode psychosis experience deficits in their ability to accurately detect and display emotions through facial expressions, and that functioning and symptoms are associated with these deficits. This study aims to examine how emotion recognition and facial emotion expression are related to functioning and symptoms in a sample of individuals at ultra-high risk, first-episode psychosis and healthy controls. Methods During fMRI, we combined the presentation of emotional faces with the instruction to react with facial movements predetermined and assigned. 18 patients with first-episode psychosis (FEP), 18 individuals at ultra high risk of psychosis (UHR) and 22 healthy controls (HCs) were examined while viewing happy, sad, or neutral faces and were instructed to simultaneously move the corners of their mouths either (a). upwards or (b). downwards, or (c). to refrain from movement. The subjects’ facial movements were recorded with an MR-compatible video camera. Results Neurofunctional and behavioral response to emotional faces were measured. Analyses have only recently commenced and are ongoing. Full results of the clinical and functional impact of behavioral and neuroimaging results will be presented at the meeting. Discussion Increased knowledge about abnormalities in emotion recognition and behaviour as well as their neural correlates and their impact on clinical measures and functional outcome can inform the development of novel treatment approaches to improve social skills early in the course of schizophrenia and psychotic disorders.


2013 ◽  
Vol 47 (6) ◽  
pp. 755-761 ◽  
Author(s):  
Alejandra Mondragón-Maya ◽  
Rodolfo Solís-Vivanco ◽  
Pablo León-Ortiz ◽  
Yaneth Rodríguez-Agudelo ◽  
Guillermina Yáñez-Téllez ◽  
...  

2019 ◽  
Vol 45 (Supplement_2) ◽  
pp. S184-S184
Author(s):  
Abanti Tagore ◽  
Naren Rao ◽  
Christin Schifani ◽  
Huai-Hsuan Tseng ◽  
Pablo Rusjan ◽  
...  

2017 ◽  
Vol 43 (suppl_1) ◽  
pp. S64-S64 ◽  
Author(s):  
Romina Mizrahi ◽  
Sina Hafizi ◽  
Cory Gerritsen ◽  
Michael Kiang ◽  
Michael Bargby ◽  
...  

2008 ◽  
Vol 192 (1) ◽  
pp. 67-68 ◽  
Author(s):  
Jean Addington ◽  
David Penn ◽  
Scott W. Woods ◽  
Donald Addington ◽  
Diana O. Perkins

SummaryFacial affect discrimination and identification were assessed in 86 clinical high-risk individuals and compared with 50 individuals with first-episode psychosis, 53 with multiepisode schizophrenia and 55 non-psychiatric controls. On the identification task the non-psychiatric controls performed significantly better than all other groups, and on discrimination significantly better than both patient groups. Deficits in facial affect recognition appear to be present before the onset of psychosis and may be a vulnerability marker.


2013 ◽  
Vol 33 (1) ◽  
pp. 18-23 ◽  
Author(s):  
Chen-Chung Liu ◽  
Yi-Ling Chien ◽  
Ming H. Hsieh ◽  
Tzung-Jeng Hwang ◽  
Hai-Gwo Hwu ◽  
...  

2017 ◽  
Vol 13 (1) ◽  
pp. 120-127 ◽  
Author(s):  
Helen Wessels ◽  
Michael Wagner ◽  
Kathrin Kuhr ◽  
Julia Berning ◽  
Verena Pützfeld ◽  
...  

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