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Schizophrenia Imaging Genetics

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https://www.readbyqxmd.com/read/29181875/integration-of-routine-qa-data-into-mega-analysis-may-improve-quality-and-sensitivity-of-multisite-diffusion-tensor-imaging-studies
#1
Peter Kochunov, Erin W Dickie, Joseph D Viviano, Jessica Turner, Peter B Kingsley, Neda Jahanshad, Paul M Thompson, Meghann C Ryan, Els Fieremans, Dmitry Novikov, Jelle Veraart, Elliot L Hong, Anil K Malhotra, Robert W Buchanan, Sofia Chavez, Aristotle N Voineskos
A novel mega-analytical approach that reduced methodological variance was evaluated using a multisite diffusion tensor imaging (DTI) fractional anisotropy (FA) data by comparing white matter integrity in people with schizophrenia to controls. Methodological variance was reduced through regression of variance captured from quality assurance (QA) and by using Marchenko-Pastur Principal Component Analysis (MP-PCA) denoising. N = 192 (119 patients/73 controls) data sets were collected at three sites equipped with 3T MRI systems: GE MR750, GE HDx, and Siemens Trio...
November 27, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/29170485/aberrant-perfusion-and-its-connectivity-within-default-mode-network-of-first-episode-drug-na%C3%A3-ve-schizophrenia-patients-and-their-unaffected-first-degree-relatives
#2
Long-Biao Cui, Liu-Xian Wang, Ping Tian, Hua-Ning Wang, Min Cai, Fan Guo, Chen Li, Yu-Jing Wu, Peng-Gang Qiao, Zi-Liang Xu, Lin Liu, Hong He, Wen-Jun Wu, Yi-Bin Xi, Hong Yin
Neural substrates behind schizophrenia (SZ) and its heritability mediated by brain function are largely unknown. Cerebral blood flow (CBF), as a biomarker of activation in the brain, reflects the neuronal metabolism, and is promisingly used to detect cerebral alteration thereby shedding light on the features of individuals at high genetic risk. We performed a cross-sectional functional magnetic resonance imaging (MRI) study enrolling 45 first-episode drug-naïve patients with SZ, 32 unaffected first-degree relatives of these patients, and 51 healthy controls (HCs)...
November 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29146193/detection-of-relationships-among-multi-modal-brain-imaging-meta-features-via-information-flow
#3
Robyn L Miller, Victor M Vergara, Vince D Calhoun
BACKGROUND: Neuroscientists and clinical researchers are awash in data from an ever-growing number of imaging and other bio-behavioral modalities. This flow of brain imaging data, taken under resting and various task conditions, combines with available cognitive measures, behavioral information, genetic data plus other potentially salient biomedical and environmental information to create a rich but diffuse data landscape. The conditions being studied with brain imaging data are often extremely complex and it is common for researchers to employ more than one imaging, behavioral or biological data modality (e...
November 14, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/29069435/auditory-verbal-hallucinations-in-schizophrenia-from-a-levels-of-explanation-perspective
#4
Kenneth Hugdahl, Iris E Sommer
In the present article, we present a "Levels of Explanation" (LoE) approach to auditory verbal hallucinations (AVHs) in schizophrenia. Mental phenomena can be understood at different levels of explanation, including cultural, clinical, cognitive, brain imaging, cellular, and molecular levels. Current research on AVHs is characterized by accumulation of data at all levels, but with little or no interaction of findings between levels. A second advantage with a Levels of Explanation approach is that it fosters interdisciplinarity and collaboration across traditional borders, facilitating a real breakthrough in future research...
October 24, 2017: Schizophrenia Bulletin
https://www.readbyqxmd.com/read/29033027/anhedonia-following-early-life-adversity-involves-aberrant-interaction-of-reward-and-anxiety-circuits-and-is-reversed-by-partial-silencing-of-amygdala-corticotropin-releasing-hormone-gene
#5
Jessica L Bolton, Jenny Molet, Limor Regev, Yuncai Chen, Neggy Rismanchi, Elizabeth Haddad, Derek Z Yang, Andre Obenaus, Tallie Z Baram
BACKGROUND: Anhedonia, the diminished ability to experience pleasure, is an important dimensional entity linked to depression, schizophrenia, and other emotional disorders, but its origins and mechanisms are poorly understood. We have previously identified anhedonia, manifest as decreased sucrose preference and social play, in adolescent male rats that experienced chronic early-life adversity/stress (CES). Here we probed the molecular, cellular, and circuit processes underlying CES-induced anhedonia and tested them mechanistically...
September 7, 2017: Biological Psychiatry
https://www.readbyqxmd.com/read/28982554/the-genetics-of-endophenotypes-of-neurofunction-to-understand-schizophrenia-genus-consortium-a-collaborative-cognitive-and-neuroimaging-genetics-project
#6
Gabriëlla A M Blokland, Elisabetta C Del Re, Raquelle I Mesholam-Gately, Jorge Jovicich, Joey W Trampush, Matcheri S Keshavan, Lynn E DeLisi, James T R Walters, Jessica A Turner, Anil K Malhotra, Todd Lencz, Martha E Shenton, Aristotle N Voineskos, Dan Rujescu, Ina Giegling, René S Kahn, Joshua L Roffman, Daphne J Holt, Stefan Ehrlich, Zora Kikinis, Paola Dazzan, Robin M Murray, Marta Di Forti, Jimmy Lee, Kang Sim, Max Lam, Rick P F Wolthusen, Sonja M C de Zwarte, Esther Walton, Donna Cosgrove, Sinead Kelly, Nasim Maleki, Lisa Osiecki, Marco M Picchioni, Elvira Bramon, Manuela Russo, Anthony S David, Valeria Mondelli, Antje A T S Reinders, M Aurora Falcone, Annette M Hartmann, Bettina Konte, Derek W Morris, Michael Gill, Aiden P Corvin, Wiepke Cahn, New Fei Ho, Jian Jun Liu, Richard S E Keefe, Randy L Gollub, Dara S Manoach, Vince D Calhoun, S Charles Schulz, Scott R Sponheim, Donald C Goff, Stephen L Buka, Sara Cherkerzian, Heidi W Thermenos, Marek Kubicki, Paul G Nestor, Erin W Dickie, Evangelos Vassos, Simone Ciufolini, Tiago Reis Marques, Nicolas A Crossley, Shaun M Purcell, Jordan W Smoller, Neeltje E M van Haren, Timothea Toulopoulou, Gary Donohoe, Jill M Goldstein, Larry J Seidman, Robert W McCarley, Tracey L Petryshen
BACKGROUND: Schizophrenia has a large genetic component, and the pathways from genes to illness manifestation are beginning to be identified. The Genetics of Endophenotypes of Neurofunction to Understand Schizophrenia (GENUS) Consortium aims to clarify the role of genetic variation in brain abnormalities underlying schizophrenia. This article describes the GENUS Consortium sample collection. METHODS: We identified existing samples collected for schizophrenia studies consisting of patients, controls, and/or individuals at familial high-risk (FHR) for schizophrenia...
October 3, 2017: Schizophrenia Research
https://www.readbyqxmd.com/read/28972123/a-multilevel-functional-study-of-a-snap25-at-risk-variant-for-bipolar-disorder-and-schizophrenia
#7
Josselin Houenou, Jennifer Boisgontier, Annabelle Henrion, Marc-Antoine d'Albis, Anne Dumaine, Julia Linke, Michèle Wessa, Claire Daban, Nora Hamdani, Marine Delavest, Pierre-Michel Llorca, Christophe Lançon, Franck Schürhoff, Andrei Szöke, Philippe Le Corvoisier, Caroline Barau, Cyril Poupon, Bruno Etain, Marion Leboyer, Stéphane Jamain
The synaptosomal-associated protein SNAP25 is a key player in synaptic vesicle docking and fusion and has been associated with multiple psychiatric conditions, including schizophrenia, bipolar disorder, and attention-deficit/hyperactivity disorder. We recently identified a promoter variant in SNAP25, rs6039769, that is associated with early-onset bipolar disorder and a higher gene expression level in human prefrontal cortex. In the current study, we showed that this variant was associated both in males and females with schizophrenia in two independent cohorts...
October 25, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28958479/the-influence-of-mir137-on-white-matter-fractional-anisotropy-and-cortical-surface-area-in-individuals-with-familial-risk-for-psychosis
#8
Bob O Vogel, Tristram A Lett, Susanne Erk, Sebastian Mohnke, Carolin Wackerhagen, Eva J Brandl, Nina Romanczuk-Seiferth, Kristina Otto, Janina I Schweiger, Heike Tost, Markus M Nöthen, Marcella Rietschel, Franziska Degenhardt, Stephanie H Witt, Andreas Meyer-Lindenberg, Andreas Heinz, Henrik Walter
The rs1625579 variant near the microRNA-137 (MIR137) gene is one of the best-supported schizophrenia variants in genome-wide association studies (GWAS), and microRNA-137 functionally regulates other GWAS identified schizophrenia risk variants. Schizophrenia patients with the MIR137 rs1625579 risk genotype (homozygous for the schizophrenia risk variant) also have aberrant brain structure. It is unclear if the effect of MIR137 among schizophrenia patients is due to potential epistasis with genetic risk for schizophrenia or other factors of the disorder...
September 25, 2017: Schizophrenia Research
https://www.readbyqxmd.com/read/28924203/the-common-variants-implicated-in-microstructural-abnormality-of-first-episode-and-drug-na%C3%A3-ve-patients-with-schizophrenia
#9
H Y Ren, Q Wang, W Lei, C C Zhang, Y F Li, X J Li, M L Li, W Deng, C H Huang, F Du, L S Zhao, Y C Wang, X H Ma, X Hu, T Li
Both post-mortem and neuroimaging studies have identified abnormal white matter (WM) microstructure in patients with schizophrenia. However, its genetic underpinnings and relevant biological pathways remain unclear. In order to unravel the genes and the pathways associated with abnormal WM microstructure in schizophrenia, we recruited 100 first-episode, drug-naïve patients with schizophrenia and 140 matched healthy controls to conduct genome-wide association analysis of fractional anisotropy (FA) value measured using diffusing tensor imaging (DTI), followed by multivariate association study and pathway enrichment analysis...
September 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28883405/modeling-a-linkage-between-blood-transcriptional-expression-and-activity-in-brain-regions-to-infer-the-phenotype-of-schizophrenia-patients
#10
El Chérif Ibrahim, Vincent Guillemot, Magali Comte, Arthur Tenenhaus, Xavier Yves Zendjidjian, Aida Cancel, Raoul Belzeaux, Florence Sauvanaud, Olivier Blin, Vincent Frouin, Eric Fakra
Hundreds of genetic loci participate to schizophrenia liability. It is also known that impaired cerebral connectivity is directly related to the cognitive and affective disturbances in schizophrenia. How genetic susceptibility and brain neural networks interact to specify a pathological phenotype in schizophrenia remains elusive. Imaging genetics, highlighting brain variations, has proven effective to establish links between vulnerability loci and associated clinical traits. As previous imaging genetics works in schizophrenia have essentially focused on structural DNA variants, these findings could be blurred by epigenetic mechanisms taking place during gene expression...
September 7, 2017: NPJ Schizophrenia
https://www.readbyqxmd.com/read/28880187/integrating-imaging-genomic-data-in-the-quest-for-biomarkers-for-schizophrenia-disease
#11
Su-Ping Deng, Wenxing Hu, Vince D Calhoun, Yu-Ping Wang
It's increasingly important but difficult to determine potential biomarkers of schizophrenia disease, owing to the complex pathophysiology of this disease. In this study, a network-fusion based framework was proposed to identify genetic biomarkers of complex diseases. Genomic, epigenomic and neuroimaging data were integrated by network fusion. A three-step feature selection was applied to single nucleotide polymorphisms (SNPs), DNA methylation and functional magnetic resonance imaging (fMRI) data to select Important features, which were then used to construct two gene networks in different states for the SNPs and DNA methylation data, respectively...
September 4, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28869582/impaired-hippocampal-place-cell-dynamics-in-a-mouse-model-of-the-22q11-2-deletion
#12
Jeffrey D Zaremba, Anastasia Diamantopoulou, Nathan B Danielson, Andres D Grosmark, Patrick W Kaifosh, John C Bowler, Zhenrui Liao, Fraser T Sparks, Joseph A Gogos, Attila Losonczy
Hippocampal place cells represent the cellular substrate of episodic memory. Place cell ensembles reorganize to support learning but must also maintain stable representations to facilitate memory recall. Despite extensive research, the learning-related role of place cell dynamics in health and disease remains elusive. Using chronic two-photon Ca(2+) imaging in hippocampal area CA1 of wild-type and Df(16)A(+/-) mice, an animal model of 22q11.2 deletion syndrome, one of the most common genetic risk factors for cognitive dysfunction and schizophrenia, we found that goal-oriented learning in wild-type mice was supported by stable spatial maps and robust remapping of place fields toward the goal location...
November 2017: Nature Neuroscience
https://www.readbyqxmd.com/read/28826413/neuregulin-1-nrg1-polymorphisms-linked-with-psychosis-transition-are-associated-with-enlarged-lateral-ventricles-and-white-matter-disruption-in-schizophrenia
#13
C A Bousman, V Cropley, P Klauser, J L Hess, A Pereira, R Idrizi, J Bruggemann, M S Mostaid, R Lenroot, T W Weickert, S J Glatt, I P Everall, S Sundram, A Zalesky, C S Weickert, C Pantelis
BACKGROUND: Two single-nucleotide polymorphisms (SNPs) (rs4281084 and rs12155594) within the neuregulin-1 (NRG1) gene have been associated with psychosis transition. However, the neurobiological changes associated with these SNPs remain unclear. We aimed to determine what relationship these two SNPs have on lateral ventricular volume and white matter integrity, as abnormalities in these brain structures are some of the most consistent in schizophrenia. METHODS: Structural (n = 370) and diffusion (n = 465) magnetic resonance imaging data were obtained from affected and unaffected individuals predominantly of European descent...
August 22, 2017: Psychological Medicine
https://www.readbyqxmd.com/read/28812221/multimodal-neuroimaging-in-schizophrenia-description-and-dissemination
#14
C J Aine, H J Bockholt, J R Bustillo, J M Cañive, A Caprihan, C Gasparovic, F M Hanlon, J M Houck, R E Jung, J Lauriello, J Liu, A R Mayer, N I Perrone-Bizzozero, S Posse, J M Stephen, J A Turner, V P Clark, Vince D Calhoun
In this paper we describe an open-access collection of multimodal neuroimaging data in schizophrenia for release to the community. Data were acquired from approximately 100 patients with schizophrenia and 100 age-matched controls during rest as well as several task activation paradigms targeting a hierarchy of cognitive constructs. Neuroimaging data include structural MRI, functional MRI, diffusion MRI, MR spectroscopic imaging, and magnetoencephalography. For three of the hypothesis-driven projects, task activation paradigms were acquired on subsets of ~200 volunteers which examined a range of sensory and cognitive processes (e...
October 2017: Neuroinformatics
https://www.readbyqxmd.com/read/28734460/affected-anatomical-rich-club-and-structural-functional-coupling-in-young-offspring-of-schizophrenia-and-bipolar-disorder-patients
#15
Guusje Collin, Lianne H Scholtens, René S Kahn, Manon H J Hillegers, Martijn P van den Heuvel
BACKGROUND: Emerging evidence suggests disruptions in the wiring organization of the brain's network in schizophrenia (SZ) and bipolar disorder (BD). As the importance of genetic predisposition has been firmly established in these illnesses, children (offspring) of patients constitute an at-risk population. This study examines connectome organization in children at familial high risk for psychosis. METHODS: Diffusion-weighted magnetic resonance imaging scans were collected from 127 nonpsychotic offspring 8 to 18 years of age (average age = 13...
June 21, 2017: Biological Psychiatry
https://www.readbyqxmd.com/read/28730732/shared-atypical-default-mode-and-salience-network-functional-connectivity-between-autism-and-schizophrenia
#16
Heng Chen, Lucina Q Uddin, Xujun Duan, Junjie Zheng, Zhiliang Long, Youxue Zhang, Xiaonan Guo, Yan Zhang, Jingping Zhao, Huafu Chen
Schizophrenia and autism spectrum disorder (ASD) are two prevalent neurodevelopmental disorders sharing some similar genetic basis and clinical features. The extent to which they share common neural substrates remains unclear. Resting-state fMRI data were collected from 35 drug-naïve adolescent participants with first-episode schizophrenia (15.6 ± 1.8 years old) and 31 healthy controls (15.4 ± 1.6 years old). Data from 22 participants with ASD (13.1 ± 3.1 years old) and 21 healthy controls (12...
November 2017: Autism Research: Official Journal of the International Society for Autism Research
https://www.readbyqxmd.com/read/28702349/distinct-multivariate-brain-morphological-patterns-and-their-added-predictive-value-with-cognitive-and-polygenic-risk-scores-in-mental-disorders
#17
Nhat Trung Doan, Tobias Kaufmann, Francesco Bettella, Kjetil Nordbø Jørgensen, Christine Lycke Brandt, Torgeir Moberget, Dag Alnæs, Gwenaëlle Douaud, Eugene Duff, Srdjan Djurovic, Ingrid Melle, Torill Ueland, Ingrid Agartz, Ole A Andreassen, Lars T Westlye
The brain underpinnings of schizophrenia and bipolar disorders are multidimensional, reflecting complex pathological processes and causal pathways, requiring multivariate techniques to disentangle. Furthermore, little is known about the complementary clinical value of brain structural phenotypes when combined with data on cognitive performance and genetic risk. Using data-driven fusion of cortical thickness, surface area, and gray matter density maps (GMD), we found six biologically meaningful patterns showing strong group effects, including four statistically independent multimodal patterns reflecting co-occurring alterations in thickness and GMD in patients, over and above two other independent patterns of widespread thickness and area reduction...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28676298/joint-prediction-of-multiple-scores-captures-better-individual-traits-from-brain-images
#18
Mehdi Rahim, Bertrand Thirion, Danilo Bzdok, Irène Buvat, Gaël Varoquaux
To probe individual variations in brain organization, population imaging relates features of brain images to rich descriptions of the subjects such as genetic information or behavioral and clinical assessments. Capturing common trends across these measurements is important: they jointly characterize the disease status of patient groups. In particular, mapping imaging features to behavioral scores with predictive models opens the way toward more precise diagnosis. Here we propose to jointly predict all the dimensions (behavioral scores) that make up the individual profiles, using so-called multi-output models...
July 1, 2017: NeuroImage
https://www.readbyqxmd.com/read/28659829/risk-conferring-glutamatergic-genes-and-brain-glutamate-plus-glutamine-in-schizophrenia
#19
Juan R Bustillo, Veena Patel, Thomas Jones, Rex Jung, Nattida Payaknait, Clifford Qualls, Jose M Canive, Jingyu Liu, Nora Irma Perrone-Bizzozero, Vince D Calhoun, Jessica A Turner, Charles Gasparovic
BACKGROUND: The proton magnetic resonance spectroscopy ((1)H-MRS) signals from glutamate (or the combined glutamate and glutamine signal-Glx) have been found to be greater in various brain regions in people with schizophrenia. Recently, the Psychiatric Genetics Consortium reported that several common single-nucleotide polymorphisms (SNPs) in glutamate-related genes confer increased risk of schizophrenia. Here, we examined the relationship between presence of these risk polymorphisms and brain Glx levels in schizophrenia...
2017: Frontiers in Psychiatry
https://www.readbyqxmd.com/read/28654095/polygenic-risk-has-an-impact-on-the-structural-plasticity-of-hippocampal-subfields-during-aerobic-exercise-combined-with-cognitive-remediation-in-multi-episode-schizophrenia
#20
S Papiol, D Popovic, D Keeser, A Hasan, T Schneider-Axmann, F Degenhardt, M J Rossner, H Bickeböller, A Schmitt, P Falkai, B Malchow
Preliminary studies suggest that, besides improving cognition, aerobic exercise might increase hippocampal volume in schizophrenia patients; however, results are not consistent. Individual mechanisms of volume changes are unknown but might be connected to the load of risk genes. Genome-wide association studies have uncovered the polygenic architecture of schizophrenia. The secondary analysis presented here aimed to determine the modulatory role of schizophrenia polygenic risk scores (PRSs) on volume changes in the total hippocampus and cornu ammonis (CA) 1, CA2/3, CA4/dentate gyrus (DG) and subiculum over time...
June 27, 2017: Translational Psychiatry
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