scholarly journals Longitudinal allometry of sulcal morphology in health and schizophrenia

2021 ◽  
Author(s):  
Joost Janssen ◽  
Clara Alloza ◽  
Covadonga Martinez ◽  
Javier Santonja ◽  
Laura Pina-Camacho ◽  
...  
Keyword(s):  
First Episode ◽  
Cortical Folding ◽  
Total Brain Volume ◽  
Cross Sectional ◽  
Total Brain ◽  
Episode Psychosis ◽  
Sulcal Morphology ◽  
Allometric Analysis ◽  
Sulcal Depth

Scaling between subcomponents of cortical folding and total brain volume (TBV) in healthy individuals (HI) is allometric, i.e. non-linear. It is unclear whether this is also true in individuals with schizophrenia (SZ) or first-episode psychosis (FEP). The current study first confirmed normative allometric scaling norms in HI using discovery and replication samples. Cross-sectional and longitudinal diagnostic differences in folding subcomponents were then assessed using an allometric analytic framework. Structural imaging from a longitudinal (sample 1: HI and SZ, nHI Baseline = 298, nSZ Baseline = 169, nHI Follow-up = 293, nSZ Follow-up = 168, a total of 1087 images, all individuals ≥ 2 images, age 16-69 years) and a cross-sectional sample (sample 2: nHI = 61 and nFEP = 89, age 10-30 years) is leveraged to calculate global folding and its nested subcomponents: sulcation index (SI, total sulcal/cortical hull area) and determinants of sulcal area; sulcal length and sulcal depth. Scaling of the SI, sulcal area, and sulcal length with TBV in SZ and FEP was allometric and did not differ from HI. Longitudinal age trajectories demonstrated steeper loss of SI and sulcal area through adulthood in SZ. Longitudinal allometric analysis revealed that both annual change in SI and sulcal area was significantly stronger related to change in TBV in SZ compared to HI. Our results detail the first evidence of the disproportionate contribution of changes in SI and sulcal area to TBV changes in SZ. Longitudinal allometric analysis of sulcal morphology provides deeper insight into lifespan trajectories of cortical folding in SZ.

scholarly journals Patterns and predictors of hospitalisation in first-episode psychosis

2001 ◽  
Vol 178 (6) ◽  
pp. 518-523 ◽  
Author(s):  
Attila Sipos ◽  
Glynn Harrison ◽  
David Gunnell ◽  
Shazad Amin ◽  
Swaran P. Singh
Keyword(s):  
Negative Symptoms ◽  
First Episode Psychosis ◽  
Psychiatric Services ◽  
First Episode ◽  
Psychotic Episode ◽  
Duration Of Untreated Illness ◽  
Specialist Services ◽  
Increased Risk ◽  
Episode Psychosis

BackgroundLittle is known about predictors of hospitalisation in patients with first-episode psychosis.AimsTo identify the pattern and predictors of hospitalisation of patients with a first psychotic episode making their first contact with specialist services.MethodThree-year follow-up of a cohort of 166 patients with a first episode of psychosis making contact with psychiatric services in Nottingham between June 1992 and May 1994.ResultsEighty-eight (53.0%) patients were admitted within 1 week of presentation; 32 (19.3%) were never admitted during the 3 years of follow-up. Manic symptoms at presentation were associated with an increased risk of rapid admission and an increased overall risk of admission; negative symptoms and a longer duration of untreated illness had an increased risk of late admission.ConclusionsCommunity-oriented psychiatric services might only delay, rather than prevent, admission of patients with predominantly negative symptoms and a longer duration of untreated illness. First-episode studies based upon first admissions are likely to be subject to selection biases, which may limit their representativeness.

Prediction of functional remission in first-episode psychosis: 12-month follow-up of the randomized-controlled trial on extended early intervention in Hong Kong

2016 ◽  
Vol 173 (1-2) ◽  
pp. 79-83 ◽  
Author(s):  
Wing Chung Chang ◽  
Vivian Wing Yan Kwong ◽  
Gloria Hoi Kei Chan ◽  
Olivia Tsz Ting Jim ◽  
Emily Sin Kei Lau ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Hong Kong ◽  
Early Intervention ◽  
Controlled Trial ◽  
First Episode Psychosis ◽  
First Episode ◽  
Randomized Controlled ◽  
Episode Psychosis

scholarly journals The dynamic relationship between insight and suicidal behavior in first episode psychosis patients over 3-year follow-up

2018 ◽  
Vol 28 (10) ◽  
pp. 1161-1172 ◽  
Author(s):  
Rosa Ayesa-Arriola ◽  
Jose María Pelayo Terán ◽  
Javier David López Moríñigo ◽  
Manuel Canal Rivero ◽  
Esther Setién-Suero ◽  
...  
Keyword(s):  
Suicidal Behavior ◽  
First Episode Psychosis ◽  
First Episode ◽  
Dynamic Relationship ◽  
Episode Psychosis

scholarly journals Pathways to care for first-episode psychosis in an early detection healthcare sector

2005 ◽  
Vol 187 (S48) ◽  
pp. s24-s28 ◽  
Author(s):  
Jan Olav Johannessen ◽  
Tor K. Larsen ◽  
Inge Joa ◽  
Ingrid Melle ◽  
Svein Friis ◽  
...  
Keyword(s):  
Early Detection ◽  
First Episode Psychosis ◽  
Healthcare Sector ◽  
Service Development ◽  
Pathways To Care ◽  
First Episode ◽  
Access To Treatment ◽  
Episode Psychosis ◽  
Low Threshold

BackgroundEarly detection programmes aim to reduce the duration of untreated psychosis (DUP) by public education and by prompt access to treatment via active outreach detection teams.AimsTo determine whether those with first-episode psychosis in an early detection healthcare area with existing referral channels differ from those who access care via detection teams.MethodThose with first-episode psychosis recruited via detection teams were compared with those accessing treatment via conventional channels, at baseline and after 3 months of acute treatment.ResultsPatients recruited via detection teams are younger males with a longer DUP a less dramatic symptom picture and better functioning; however they recover more slowly, and have more symptoms at 3-month follow-up.ConclusionsAfter establishing low threshold active case-seeking detection teams, we found clear differences between those patients entering treatment via detection teams v. those obtaining treatment via the usual channels. Such profiling may be informative for early detection service development.

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