1
|
Akudjedu TN, Tronchin G, McInerney S, Scanlon C, Kenney JPM, McFarland J, Barker GJ, McCarthy P, Cannon DM, McDonald C, Hallahan B. Progression of neuroanatomical abnormalities after first-episode of psychosis: A 3-year longitudinal sMRI study. J Psychiatr Res 2020; 130:137-151. [PMID: 32818662 DOI: 10.1016/j.jpsychires.2020.07.034] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 07/09/2020] [Accepted: 07/22/2020] [Indexed: 02/08/2023]
Abstract
The location, extent and progression of longitudinal morphometric changes after first-episode of psychosis (FEP) remains unclear. We investigated ventricular and cortico-subcortical regions over a 3-year period in FEP patients compared with healthy controls. High resolution 1.5T T1-weighted MR images were obtained at baseline from 28 FEP patients at presentation and 28 controls, and again after 3-years. The longitudinal FreeSurfer pipeline (v.5.3.0) was used for regional volumetric and cortical reconstruction image analyses. Repeated-measures ANCOVA and vertex-wise linear regression analyses compared progressive changes between groups in subcortical structures and cortical thickness respectively. Compared with controls, patients displayed progressively reduced volume of the caudate [F (1,51)=5.86, p=0.02, Hedges' g=0.66], putamen [F (1,51)=6.06, p=0.02, g=0.67], thalamus [F (1,51)=6.99, p=0.01, g=0.72] and increased right lateral ventricular volume [F (1, 51)=4.03, p=0.05], and significantly increased rate of cortical thinning [F (1,52)=5.11, p=0.028)] at a mean difference of 0.84% [95% CI (0.10, 1.59)] in the left lateral orbitofrontal region over the 3-year period. In patients, greater reduction in putamen volume over time was associated with lower cumulative antipsychotic medication dose (r=0.49, p=0.01), and increasing lateral ventricular volume over time was associated with worsening negative symptoms (r=0.41, p=0.04) and poorer global functioning (r= -0.41, p=0.04). This study demonstrates localised progressive structural abnormalities in the cortico-striato-thalamo-cortical circuit after the onset of psychosis, with increasing ventricular volume noted as a neuroanatomical marker of poorer clinical and functional outcome.
Collapse
Affiliation(s)
- Theophilus N Akudjedu
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33, Galway, Ireland; Institute of Medical Imaging & Visualisation, Department of Medical Science and Public Health, Faculty of Health and Social Sciences, Bournemouth University, Bournemouth, UK.
| | - Giulia Tronchin
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33, Galway, Ireland
| | - Shane McInerney
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33, Galway, Ireland; Department of Psychiatry, University of Toronto, 250 College Street, 8th Floor, Toronto, Canada
| | - Cathy Scanlon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33, Galway, Ireland
| | - Joanne P M Kenney
- Trinity College Institute of Neuroscience and School of Psychology, Trinity College Dublin, Dublin, Ireland
| | - John McFarland
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33, Galway, Ireland
| | - Gareth J Barker
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, Department of Neuroimaging, London, UK
| | - Peter McCarthy
- Department of Radiology, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33, Galway, Ireland
| | - Dara M Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33, Galway, Ireland
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33, Galway, Ireland
| | - Brian Hallahan
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33, Galway, Ireland
| |
Collapse
|
2
|
Tronchin G, Akudjedu TN, Kenney JP, McInerney S, Scanlon C, McFarland J, McCarthy P, Cannon DM, Hallahan B, McDonald C. Cognitive and Clinical Predictors of Prefrontal Cortical Thickness Change Following First-Episode of Psychosis. Psychiatry Res Neuroimaging 2020; 302:111100. [PMID: 32464535 DOI: 10.1016/j.pscychresns.2020.111100] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Revised: 04/17/2020] [Accepted: 04/20/2020] [Indexed: 12/11/2022]
Abstract
The association of neuroanatomical progression with cognitive and clinical deterioration after first-episode of psychosis remains uncertain. This longitudinal study aims to assess whether i)impaired executive functioning and emotional intelligence at first presentation are associated with progressive prefrontal and orbitofrontal cortical thinning ii)negative symptom severity is linked to progressive prefrontal cortical thinning. 1.5T MRI images were acquired at baseline and after 3.5 years for 20 individuals with first-episode psychosis and 18 controls. The longitudinal pipeline of Freesurfer was employed to parcellate prefrontal cortex at two time points. Baseline cognitive performance was compared between diagnostic groups using MANCOVA. Partial correlations investigated relationships between cognition and negative symptoms at baseline and cortical thickness change over time. Patients displayed poorer performance than controls at baseline in working memory, reasoning/problem solving and emotional intelligence. In patients, loss of prefrontal and orbitofrontal thickness over time was predicted by impaired working memory and emotional intelligence respectively at baseline. Moreover, exploratory analyses revealed that the worsening of negative symptoms over time was significantly related to prefrontal cortical thinning. Results indicate that specific cognitive deficits at the onset of psychotic illness are markers of progressive neuroanatomical deficits and that worsening of negative symptoms occurs with prefrontal thickness reduction as the illness progresses.
Collapse
Affiliation(s)
- Giulia Tronchin
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, School of Medicine, National University of Ireland Galway, H91TK33 Galway, Ireland.
| | - Theophilus N Akudjedu
- Faculty of Health & Social Science, Institute of Medical Imaging & Visualisation, Bournemouth University, Bournemouth, United Kingdom
| | - Joanne Pm Kenney
- Trinity College Institute of Neuroscience and School of Psychology, Trinity College Dublin, Dublin, Ireland
| | - Shane McInerney
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, School of Medicine, National University of Ireland Galway, H91TK33 Galway, Ireland
| | - Cathy Scanlon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, School of Medicine, National University of Ireland Galway, H91TK33 Galway, Ireland
| | - John McFarland
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, School of Medicine, National University of Ireland Galway, H91TK33 Galway, Ireland
| | - Peter McCarthy
- Department of Radiology, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Dara M Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, School of Medicine, National University of Ireland Galway, H91TK33 Galway, Ireland
| | - Brian Hallahan
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, School of Medicine, National University of Ireland Galway, H91TK33 Galway, Ireland
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, School of Medicine, National University of Ireland Galway, H91TK33 Galway, Ireland
| |
Collapse
|
3
|
Planchuelo-Gómez Á, Lubeiro A, Núñez-Novo P, Gomez-Pilar J, de Luis-García R, Del Valle P, Martín-Santiago Ó, Pérez-Escudero A, Molina V. Identificacion of MRI-based psychosis subtypes: Replication and refinement. Prog Neuropsychopharmacol Biol Psychiatry 2020; 100:109907. [PMID: 32113850 DOI: 10.1016/j.pnpbp.2020.109907] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 02/19/2020] [Accepted: 02/25/2020] [Indexed: 11/29/2022]
Abstract
The identification of the cerebral substrates of psychoses such as schizophrenia and bipolar disorder is likely hampered by its biological heterogeneity, which may contribute to the low replication of results in the field. In this study we aimed to replicate in a completely new sample and supplement the results of a previous study with additional data on this topic. In the aforementioned study we identified a schizophrenia cluster characterized by high mean cortical curvature and low cortical thickness, subcortical hypometabolism and progressive negative symptoms. Here, we have used magnetic resonance images from 61 schizophrenia and 28 bipolar patients, as well as 51 healthy controls and a cluster analysis to search for possible subgroups primarily characterized by cerebral structural data. Diffusion tensor imaging (fractional anisotropy, FA), cognition, clinical data and electroencephalographic (EEG) modulation during a P300 task were used to validate the possible clusters. Two clusters of patients were identified. The first cluster (29 schizophrenia and 18 bipolar patients) showed decreased cortical thickness and area values, as well as lower subcortical volumes and higher cortical curvature in some regions, as compared to the second cluster. This first cluster also showed decreased FA in frontal lobe connections and worse cognitive performance. Although this cluster also showed longer illness duration, there were first episode patients in both clusters and treatment doses and types were not different between clusters. Both clusters of patients showed decreased EEG task-related modulation. In conclusion, our data give additional support to a distinct biologically based cluster encompassing schizophrenia and bipolar disorder patients with cortical and subcortical alterations, hampered cortical connectivity and lower cognitive performance.
Collapse
Affiliation(s)
- Álvaro Planchuelo-Gómez
- Imaging Processing Laboratory, University of Valladolid, Paseo de Belén, 15, 47011 Valladolid, Spain
| | - Alba Lubeiro
- Psychiatry Department, School of Medicine, University of Valladolid, Av. Ramón y Cajal, 7, 47005 Valladolid, Spain
| | - Pablo Núñez-Novo
- Biomedical Engineering Group, University of Valladolid, Paseo de Belén, 15, 47011 Valladolid, Spain
| | - Javier Gomez-Pilar
- Biomedical Engineering Group, University of Valladolid, Paseo de Belén, 15, 47011 Valladolid, Spain; Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Av. Monforte de Lemos, 3-5, 28029 Madrid, Spain
| | - Rodrigo de Luis-García
- Imaging Processing Laboratory, University of Valladolid, Paseo de Belén, 15, 47011 Valladolid, Spain
| | - Pilar Del Valle
- Psychiatry Department, School of Medicine, University of Valladolid, Av. Ramón y Cajal, 7, 47005 Valladolid, Spain; Psychiatry Service, Clinical Hospital of Valladolid, Ramón y Cajal, 3, 47003 Valladolid, Spain
| | - Óscar Martín-Santiago
- Psychiatry Department, School of Medicine, University of Valladolid, Av. Ramón y Cajal, 7, 47005 Valladolid, Spain; Psychiatry Service, Clinical Hospital of Valladolid, Ramón y Cajal, 3, 47003 Valladolid, Spain
| | - Adela Pérez-Escudero
- Psychiatry Department, School of Medicine, University of Valladolid, Av. Ramón y Cajal, 7, 47005 Valladolid, Spain; Psychiatry Service, Clinical Hospital of Valladolid, Ramón y Cajal, 3, 47003 Valladolid, Spain
| | - Vicente Molina
- Psychiatry Department, School of Medicine, University of Valladolid, Av. Ramón y Cajal, 7, 47005 Valladolid, Spain; Psychiatry Service, Clinical Hospital of Valladolid, Ramón y Cajal, 3, 47003 Valladolid, Spain; Neurosciences Institute of Castilla y León (INCYL), Pintor Fernando Gallego, 1, 37007, University of Salamanca, Spain.
| |
Collapse
|
4
|
Fatima W, Riaz S, Aiman Shahzad M, Naz Z, Mahmood S, Hasnain S. Chromosomal region 1q24.1 is associated with increased risk of schizophrenia in Pakistani population. Gene 2020; 734:144390. [PMID: 31987904 DOI: 10.1016/j.gene.2020.144390] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 01/20/2020] [Accepted: 01/21/2020] [Indexed: 01/11/2023]
Abstract
Schizophrenia is a stressful, chronic and in many cases incorrigible psychological disorder. Till now no biomarker is available for diagnosis of this condition and diagnosis is done purely on psychiatric bases. A strong genetic association of human genome region 1q24.1 is implicated with onset of schizophrenia in many studies. Present study is first from Pakistan to report effect of this locus in transmission and liaison of schizophrenia in Pakistani population. For this analysis 300 samples were genotyped of four SNPs, rs1417584, rs1954175, rs821616 and rs113012343 that were selected on basis of minor allele frequency and effects on schizophrenia. Haplotype and transmission disequilibrium analysis was also performed on data. Association of SNPs revealed a significant relation between MAF of rs1417584 and schizophrenia in given samples (χ2 5.57; p 0.02). Haplotype association led to formation of three significant blocks TCAG (OR 20.06), TTAG (OR 4.65) and CCTG (OR 26.17) for rs1417584, rs1954175, rs821616 and rs113012343 that were expected to cause schizophrenia in said combinations. rs1417584, rs1954175 and rs821616 were found to be in a linkage block based on D' value (p < 0.0001) with 22% co inheritance alongside disease onset. This block was represented by 325 kb on chromosome 1. It is concluded from this study that this 325 Kb region can be considered prognostic marker for schizophrenia development in Pakistani population.
Collapse
Affiliation(s)
- Warda Fatima
- Department of Microbiology and Molecular Genetics, University of the Punjab, Lahore, Pakistan.
| | - Sabeen Riaz
- Department of Microbiology and Molecular Genetics, University of the Punjab, Lahore, Pakistan
| | | | - Zara Naz
- Department of Microbiology and Molecular Genetics, University of the Punjab, Lahore, Pakistan
| | - Saqib Mahmood
- Department of Allied Health Sciences, University of Health Sciences, Lahore, Pakistan
| | - Shahida Hasnain
- Department of Microbiology and Molecular Genetics, University of the Punjab, Lahore, Pakistan
| |
Collapse
|
5
|
Harari JH, Díaz-Caneja CM, Janssen J, Martínez K, Arias B, Arango C. The association between gene variants and longitudinal structural brain changes in psychosis: a systematic review of longitudinal neuroimaging genetics studies. NPJ SCHIZOPHRENIA 2017; 3:40. [PMID: 29093492 PMCID: PMC5665946 DOI: 10.1038/s41537-017-0036-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/29/2017] [Revised: 08/18/2017] [Accepted: 08/29/2017] [Indexed: 12/18/2022]
Abstract
Evidence suggests that genetic variation might influence structural brain alterations in psychotic disorders. Longitudinal genetic neuroimaging (G-NI) studies are designed to assess the association between genetic variants, disease progression and brain changes. There is a paucity of reviews of longitudinal G-NI studies in psychotic disorders. A systematic search of PubMed from inception until November 2016 was conducted to identify longitudinal G-NI studies examining the link between Magnetic Resonance Imaging (MRI) and Diffusion Tensor Imaging (DTI)-based brain measurements and specific gene variants (SNPs, microsatellites, haplotypes) in patients with psychosis. Eleven studies examined seven genes: BDNF, COMT, NRG1, DISC1, CNR1, GAD1, and G72. Eight of these studies reported at least one association between a specific gene variant and longitudinal structural brain changes. Genetic variants associated with longitudinal brain volume or cortical thickness loss included a 4-marker haplotype in G72, a microsatellite and a SNP in NRG1, and individual SNPs in DISC1, CNR1, BDNF, COMT and GAD1. Associations between genotype and progressive brain changes were most frequently observed in frontal regions, with five studies reporting significant interactions. Effect sizes for significant associations were generally of small or intermediate magnitude (Cohen’s d < 0.8). Only two genes (BDNF and NRG1) were assessed in more than one study, with great heterogeneity of the results. Replication studies and studies exploring additional genetic variants identified by large-scale genetic analysis are warranted to further ascertain the role of genetic variants in longitudinal brain changes in psychosis.
Collapse
Affiliation(s)
- Julia H Harari
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, CIBERSAM, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), School of Medicine, Universidad Complutense, Madrid, Spain.,University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Covadonga M Díaz-Caneja
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, CIBERSAM, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), School of Medicine, Universidad Complutense, Madrid, Spain
| | - Joost Janssen
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, CIBERSAM, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), School of Medicine, Universidad Complutense, Madrid, Spain.,Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Kenia Martínez
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, CIBERSAM, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), School of Medicine, Universidad Complutense, Madrid, Spain
| | - Bárbara Arias
- Zoology and Biological Anthropology Unit. Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals. IBUB., Faculty of Biology, Universitat de Barcelona, Barcelona, Spain. .,CIBERSAM (Centro de Investigación Biomédica en Red de Salud Mental), Instituto de Salud Carlos III, Madrid, Spain.
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, CIBERSAM, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), School of Medicine, Universidad Complutense, Madrid, Spain.
| |
Collapse
|
6
|
Ivanova-Stoevska M, Penchev M, Stoyanova V, Vladimirova R, Milanova V, Kremensky I, Mitev V, Kaneva R. Investigation of candidate genes reveals significant statistical epistasis between DISC1 and TPH2 in Bulgarian affective disorder patients. BIOTECHNOL BIOTEC EQ 2017. [DOI: 10.1080/13102818.2017.1382391] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Affiliation(s)
- Mina Ivanova-Stoevska
- Molecular Medicine Center, Medical University of Sofia, Sofia, Bulgaria
- National Genetic Laboratory, Department of Obstetrics and Gynaecology, Faculty of Medicine, Medical University-Sofia, Sofia, Bulgaria
| | - Mladen Penchev
- Department of Psychiatry, Faculty of Medicine, Medical University of Sofia, Sofia, Bulgaria
- Psychiatric Clinic, Alexandrovska University Hospital, Sofia, Bulgaria
| | - Vessela Stoyanova
- Department of Psychiatry, Faculty of Medicine, Medical University of Sofia, Sofia, Bulgaria
- Psychiatric Clinic, Alexandrovska University Hospital, Sofia, Bulgaria
| | - Rossitza Vladimirova
- Department of Psychiatry, Faculty of Medicine, Medical University of Sofia, Sofia, Bulgaria
- Psychiatric Clinic, Alexandrovska University Hospital, Sofia, Bulgaria
| | - Vihra Milanova
- Department of Psychiatry, Faculty of Medicine, Medical University of Sofia, Sofia, Bulgaria
- Psychiatric Clinic, Alexandrovska University Hospital, Sofia, Bulgaria
| | - Ivo Kremensky
- Molecular Medicine Center, Medical University of Sofia, Sofia, Bulgaria
- National Genetic Laboratory, Department of Obstetrics and Gynaecology, Faculty of Medicine, Medical University-Sofia, Sofia, Bulgaria
| | - Vanio Mitev
- Molecular Medicine Center, Medical University of Sofia, Sofia, Bulgaria
- Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
| | - Radka Kaneva
- Molecular Medicine Center, Medical University of Sofia, Sofia, Bulgaria
- Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
| |
Collapse
|