Followed Journals
Journal you Follow: 0
 
Sign Up to follow journals, search in your chosen journals and, optionally, receive Email Alerts when new issues of your Followed Journals are published.
Already have an account? Sign In to see the journals you follow.
Similar Journals
Journal Cover
Psychoradiology
Number of Followers: 4  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2634-4416
Published by Oxford University Press Homepage  [419 journals]
  • Linked brain connectivity patterns with psychopathological and cognitive
           phenotypes in drug-na├»ve first-episode schizophrenia

    • Pages: 43 - 51
      Abstract: AbstractBackgroundSchizophrenia is considered to be a disorder of dysconnectivity characterized by abnormal functional integration between distinct brain regions. Different brain connection abnormalities were found to be correlated with various clinical manifestations, but whether a common deficit in functional connectivity (FC) in relation to both clinical symptoms and cognitive impairments could present in first-episode patients who have never received any medication remains elusive.ObjectiveTo find a core deficit in the brain connectome that is related to both psychopathological and cognitive manifestations.MethodsA total of 75 patients with first-episode schizophrenia and 51 healthy control participants underwent scanning of the brain and clinical ratings of behaviors. A principal component analysis was performed on the clinical ratings of symptom and cognition. Partial correlation analyses were conducted between the main psychopathological components and resting-state FC that were found abnormal in schizophrenia patients.ResultsUsing the principal component analysis, the first principal component (PC1) explained 37% of the total variance of seven clinical features. The ratings of GAF and BACS contributed negatively to PC1, while those of PANSS, HAMD, and HAMA contributed positively. The FCs positively correlated with PC1 mainly included connections related to the insula, precuneus gyrus, and some frontal brain regions. FCs negatively correlated with PC1 mainly included connections between the left middle cingulate cortex and superior and middle occipital regions.ConclusionIn conclusion, we found a linked pattern of FC associated with both psychopathological and cognitive manifestations in drug-naïve first-episode schizophrenia characterized as the dysconnection related to the frontal and visual cortex, which may represent a core deficit of brain FC in patients with schizophrenia.
      PubDate: Wed, 06 Jul 2022 00:00:00 GMT
      DOI: 10.1093/psyrad/kkac006
      Issue No: Vol. 2, No. 2 (2022)
       
  • Functional connectome of vicarious traumatization: detecting and helping
           individuals vulnerable to mental illness

    • Pages: 52 - 53
      Abstract: COVID-19 has spread globally for more than 2 years, having a tremendous impact on both the physical health of the infected cases and the mental health of the general population (Wu et al., 2021; Shanahan et al., 2022). In addition to psychiatric symptoms such as depression and anxiety, vicarious traumatization (stress resulting from empathic engagement with the trauma of others) is a generic psychological condition during the pandemic, increasing the risk of mental illness (Liu & Liu, 2020; Serafim et al., 2020). Certain populations may be more susceptible to vicarious trauma than others, and it is increasingly important to identify factors that may affect individual susceptibility (de Figueiredo et al., 2021). There is evidence that the prepandemic brain functional connectome can predict individual anxiety induced by the pandemic (He et al., 2021). However, the whole relationship map of the general distress (e.g. depression and anxiety), vicarious traumatization, and functional connectome is unclear.
      PubDate: Wed, 27 Jul 2022 00:00:00 GMT
      DOI: 10.1093/psyrad/kkac007
      Issue No: Vol. 2, No. 2 (2022)
       
  • The Xi'an Schizophrenia Imaging Lab (SIL) data and ten years of MRI study
           on schizophrenia

    • Pages: 54 - 55
      Abstract: The Schizophrenia Imaging Laboratory (SIL) data are based on a collaboration of >10 years studying the schizophrenic brain using magnetic resonance imaging (MRI) in Xi'an, China. Collection of SIL data (N = 665; 319 patients, 48 first-degree relatives, and 298 control participants) started in 2011, with the purpose of performing a trans-scale study focusing on schizophrenia, and this has since diversified into three datasets: pooling clinical assessment, neuroimaging and genetic data to answer clinical and preclinical questions in psychiatry. Most of them come from Fourth Military Medical University, and the rest of the data come from the Xi'an Mental Health Center. In the SIL data, all the participants underwent clinical assessments (clinical characteristics, e.g. Positive and Negative Syndrome Scale, and cognitive tests) and MRI scans, including T2-weighted imaging, high-resolution T1-weighted imaging, functional imaging, diffusion weighted imaging, and arterial spin labeling at baseline, and 103 participants had transcriptome-wide data of whole blood (mRNA, small RNA, lncRNA, and circRNA). Scanning machines included the GE Discovery MR750 3.0 T scanner and Siemens 3.0 T Magnetom Trio Tim MR scanner. Clinical assessment at discharge from the hospital was available for 188 patients whose episode resulted in hospitalization. Afterward, 148 participants completed the follow-up assessments and scans. The whole study had no influence on the therapy. It investigated different aspects of familial risk, neural mechanisms, symptoms, diagnosis, treatment, and clinical translation.
      PubDate: Thu, 11 Aug 2022 00:00:00 GMT
      DOI: 10.1093/psyrad/kkac008
      Issue No: Vol. 2, No. 2 (2022)
       
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


Your IP address: 18.207.157.152
 
Home (Search)
API
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-