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Sabaroedin K, Razi A, Chopra S, Tran N, Pozaruk A, Chen Z, Finlay A, Nelson B, Allott K, Alvarez-Jimenez M, Graham J, Yuen HP, Harrigan S, Cropley V, Sharma S, Saluja B, Williams R, Pantelis C, Wood SJ, O’Donoghue B, Francey S, McGorry P, Aquino K, Fornito A. Frontostriatothalamic effective connectivity and dopaminergic function in the psychosis continuum. Brain 2022; 146:372-386. [PMID: 35094052 PMCID: PMC9825436 DOI: 10.1093/brain/awac018] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 12/21/2021] [Accepted: 12/22/2021] [Indexed: 01/12/2023] Open
Abstract
Dysfunction of fronto-striato-thalamic (FST) circuits is thought to contribute to dopaminergic dysfunction and symptom onset in psychosis, but it remains unclear whether this dysfunction is driven by aberrant bottom-up subcortical signalling or impaired top-down cortical regulation. We used spectral dynamic causal modelling of resting-state functional MRI to characterize the effective connectivity of dorsal and ventral FST circuits in a sample of 46 antipsychotic-naïve first-episode psychosis patients and 23 controls and an independent sample of 36 patients with established schizophrenia and 100 controls. We also investigated the association between FST effective connectivity and striatal 18F-DOPA uptake in an independent healthy cohort of 33 individuals who underwent concurrent functional MRI and PET. Using a posterior probability threshold of 0.95, we found that midbrain and thalamic connectivity were implicated as dysfunctional across both patient groups. Dysconnectivity in first-episode psychosis patients was mainly restricted to the subcortex, with positive symptom severity being associated with midbrain connectivity. Dysconnectivity between the cortex and subcortical systems was only apparent in established schizophrenia patients. In the healthy 18F-DOPA cohort, we found that striatal dopamine synthesis capacity was associated with the effective connectivity of nigrostriatal and striatothalamic pathways, implicating similar circuits to those associated with psychotic symptom severity in patients. Overall, our findings indicate that subcortical dysconnectivity is evident in the early stages of psychosis, that cortical dysfunction may emerge later in the illness, and that nigrostriatal and striatothalamic signalling are closely related to striatal dopamine synthesis capacity, which is a robust marker for psychosis.
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Affiliation(s)
- Kristina Sabaroedin
- Correspondence to: Kristina Sabaroedin Turner Institute for Brain and Mental Health 770 Blackburn Road, Clayton, Victoria 3168, Australia E-mail:
| | - Adeel Razi
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria 3800, Australia,Monash Biomedical Imaging, Monash University, Clayton, Victoria 3800, Australia,Wellcome Centre for Human Neuroimaging, University College, London WC1N 3AR, UK
| | - Sidhant Chopra
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria 3800, Australia
| | - Nancy Tran
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria 3800, Australia
| | - Andrii Pozaruk
- Monash Biomedical Imaging, Monash University, Clayton, Victoria 3800, Australia
| | - Zhaolin Chen
- Monash Biomedical Imaging, Monash University, Clayton, Victoria 3800, Australia
| | - Amy Finlay
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria 3800, Australia
| | - Barnaby Nelson
- Orygen, Parkville, Victoria 3052, Australia,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
| | - Kelly Allott
- Orygen, Parkville, Victoria 3052, Australia,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
| | - Mario Alvarez-Jimenez
- Orygen, Parkville, Victoria 3052, Australia,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
| | - Jessica Graham
- Orygen, Parkville, Victoria 3052, Australia,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
| | - Hok P Yuen
- Orygen, Parkville, Victoria 3052, Australia,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
| | - Susy Harrigan
- Department of Social Work, Monash University, Victoria 3800, Australia,Melbourne School of Population and Global Health, The University of Melbourne, Parkville. Victoria 3010, Australia
| | - Vanessa Cropley
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Parkville, Victoria 3010, Australia
| | - Sujit Sharma
- Monash Health, Dandenong, Victoria 3175, Australia
| | | | - Rob Williams
- The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Parkville, Victoria 3010, Australia,The Florey Institute for Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
| | - Stephen J Wood
- Orygen, Parkville, Victoria 3052, Australia,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia,School of Psychology, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Brian O’Donoghue
- Orygen, Parkville, Victoria 3052, Australia,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
| | - Shona Francey
- Orygen, Parkville, Victoria 3052, Australia,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
| | - Patrick McGorry
- Orygen, Parkville, Victoria 3052, Australia,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
| | - Kevin Aquino
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria 3800, Australia,Monash Biomedical Imaging, Monash University, Clayton, Victoria 3800, Australia
| | - Alex Fornito
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria 3800, Australia,Monash Biomedical Imaging, Monash University, Clayton, Victoria 3800, Australia
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Obrzut M, Atamaniuk V, Obrzut B, Ehman R, Cholewa M, Rzucidło M, Pozaruk A, Gutkowski K. Normative values for magnetic resonance elastography-based liver stiffness in a healthy population. Pol Arch Intern Med 2019; 129:321-326. [PMID: 30793705 PMCID: PMC6731548 DOI: 10.20452/pamw.4456] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
INTRODUCTION Chronic liver disease resulting in fibrosis, and ultimately cirrhosis, is a significant cause of morbidity and mortality worldwide. None of the conventional imaging techniques are able to detect early fibrosis and compare its grade with the histopathologic scale. Liver biopsy, as the diagnostic standard for liver fibrosis, also has limitations and is not well accepted by patients. Magnetic resonance elastography is a well‑established technique for evaluating liver stiffness and may replace invasive procedures. Detection of liver fibrosis in its early stages, however, requires a detailed knowledge of normal liver stiffness. OBJECTIVES This study aimed to determine normal liver stiffness values in healthy volunteers. PATIENTS AND METHODS A total of 102 volunteers (mean age, 21.6 years; range, 20-28 years) with no history of gastrointestinal, hepatobiliary, or cardiovascular disease were enrolled in the study. Liver stiffness was evaluated by magnetic resonance elastography with a 1.5T clinical magnetic resonance scanner. Images of the induced transverse wave propagation were obtained and converted to tissue stiffness maps (elastograms). RESULTS The mean (SD) liver stiffness for the entire group of volunteers was 2.14 (0.28) kPa (range, 1.37-2.66 kPa). For women, the mean (SD) stiffness value was 2.14 (0.30) kPa (range, 1.37-2.66 kPa), and for men, 2.14 (0.25) kPa (range, 1.54-2.54 kPa). CONCLUSIONS Liver stiffness in a healthy adult cohort did not exceed 2.7 kPa and is not influenced by sex, body mass index, or fat content.
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Affiliation(s)
- Marzanna Obrzut
- Department of Biophysics, Faculty of Mathematics and Natural Sciences, University of Rzeszów, Rzeszów, Poland
| | - Vitaliy Atamaniuk
- Department of Biophysics, Faculty of Mathematics and Natural Sciences, University of Rzeszów, Rzeszów, Poland
| | - Bogdan Obrzut
- Department of Obstetrics and Gynaecology, Provincial Clinical Hospital No 2 in Rzeszow, University of Rzeszów, Rzeszów, Poland
| | - Richard Ehman
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, United States
| | - Marian Cholewa
- Department of Biophysics, Faculty of Mathematics and Natural Sciences, University of Rzeszów, Rzeszów, Poland
| | - Mateusz Rzucidło
- Department of Gastroenterology and Hepatology with Internal Disease Unit, Teaching Hospital No. 1 in Rzeszów, Rzeszów, Poland
| | - Andrii Pozaruk
- Department of Biophysics, Faculty of Mathematics and Natural Sciences, University of Rzeszów, Rzeszów, Poland,Monash Biomedical Imaging, Monash University, Melbourne, Australia
| | - Krzysztof Gutkowski
- Department of Gastroenterology and Hepatology with Internal Disease Unit, Teaching Hospital No. 1 in Rzeszów, Rzeszów, Poland
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