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Schizophrenia Imaging Genetics

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https://www.readbyqxmd.com/read/29474680/shared-genetic-risk-of-schizophrenia-and-gray-matter-reduction-in-6p22-1
#1
Jiayu Chen, Vince D Calhoun, Dongdong Lin, Nora I Perrone-Bizzozero, Juan R Bustillo, Godfrey D Pearlson, Steven G Potkin, Theo G M van Erp, Fabio Macciardi, Stefan Ehrlich, Beng-Choon Ho, Scott R Sponheim, Lei Wang, Julia M Stephen, Andrew R Mayer, Faith M Hanlon, Rex E Jung, Brett A Clementz, Matcheri S Keshavan, Elliot S Gershon, John A Sweeney, Carol A Tamminga, Ole A Andreassen, Ingrid Agartz, Lars T Westlye, Jing Sui, Yuhui Du, Jessica A Turner, Jingyu Liu
Genetic factors are known to influence both risk for schizophrenia (SZ) and variation in brain structure. A pressing question is whether the genetic underpinnings of brain phenotype and the disorder overlap. Using multivariate analytic methods and focusing on 1,402 common single-nucleotide polymorphisms (SNPs) mapped from the Psychiatric Genomics Consortium (PGC) 108 regions, in 777 discovery samples, we identified 39 SNPs to be significantly associated with SZ-discriminating gray matter volume (GMV) reduction in inferior parietal and superior temporal regions...
February 21, 2018: Schizophrenia Bulletin
https://www.readbyqxmd.com/read/29449712/imaging-structural-and-functional-brain-development-in-early-childhood
#2
REVIEW
John H Gilmore, Rebecca C Knickmeyer, Wei Gao
In humans, the period from term birth to ∼2 years of age is characterized by rapid and dynamic brain development and plays an important role in cognitive development and risk of disorders such as autism and schizophrenia. Recent imaging studies have begun to delineate the growth trajectories of brain structure and function in the first years after birth and their relationship to cognition and risk of neuropsychiatric disorders. This Review discusses the development of grey and white matter and structural and functional networks, as well as genetic and environmental influences on early-childhood brain development...
February 16, 2018: Nature Reviews. Neuroscience
https://www.readbyqxmd.com/read/29398207/effective-connectivity-within-a-triple-network-brain-system-discriminates-schizophrenia-spectrum-disorders-from-psychotic-bipolar-disorder-at-the-single-subject-level
#3
Lena Palaniyappan, Gopikrishna Deshpande, Pradyumna Lanka, D Rangaprakash, Sarina Iwabuchi, Susan Francis, Peter F Liddle
OBJECTIVE: Schizophrenia spectrum disorders (SSD) and psychotic bipolar disorder share a number of genetic and neurobiological features, despite a divergence in clinical course and outcome trajectories. We studied the diagnostic classification potential that can be achieved on the basis of the structure and connectivity within a triple network system (the default mode, salience and central executive network) in patients with SSD and psychotic bipolar disorder. METHODS: Directed static connectivity and its dynamic variance was estimated among 8 nodes of the three large-scale networks...
February 2, 2018: Schizophrenia Research
https://www.readbyqxmd.com/read/29385621/outgroup-emotion-processing-in-the-vacc-is-modulated-by-childhood-trauma-and-cacna1c-risk-variant
#4
Johannes T Krautheim, Benjamin Straube, Udo Dannlowski, Martin Pyka, Henriette Schneider-Hassloff, Rebecca Drexler, Axel Krug, Jens Sommer, Marcella Rietschel, Stephanie H Witt, Tilo Kircher
A high frequency of outgroup contact - as experienced by urban dwellers and migrants - possibly increases schizophrenia risk. This risk might be further amplified by genetic and environmental risk factors, such as the A-allele of rs1006737 within the Calcium Voltage-Gated Channel Subunit Alpha1 C (CACNA1C) gene and Childhood Interpersonal Trauma (CIT). Both have been related to ventral anterior cingulate cortex (vACC) functioning. We investigated vACC functioning, during ingroup and outgroup emotion perception in relation to rs1006737 and CIT...
January 29, 2018: Social Cognitive and Affective Neuroscience
https://www.readbyqxmd.com/read/29385549/the-circuitry-of-dopamine-system-regulation-and-its-disruption-in-schizophrenia-insights-into-treatment-and-prevention
#5
Anthony A Grace, Felipe V Gomes
Despite evidence for a role of the dopamine system in the pathophysiology of schizophrenia, there has not been substantial evidence that this disorder originates from a pathological change within the dopamine system itself. Current data from human imaging studies and preclinical investigations instead point to a disruption in afferent regulation of the dopamine system, with a focus on the hippocampus. We found that the hippocampus in the methylazoxymethanol acetate (MAM) rodent developmental disruption model of schizophrenia is hyperactive and dysrhythmic, possibly due to loss of parvalbumin interneurons, leading to a hyperresponsive dopamine system...
January 29, 2018: Schizophrenia Bulletin
https://www.readbyqxmd.com/read/29364120/adaptive-sparse-multiple-canonical-correlation-analysis-with-application-to-imaging-epi-genomics-study-of-schizophrenia
#6
Wenxing Hu, Dongdong Lin, Shaolong Cao, Jingyu Liu, Jiayu Chen, Vince D Calhoun, Yu-Ping Wang
Finding correlations across multiple data sets in imaging and (epi)genomics is a common challenge. Sparse multiple canonical correlation analysis (SMCCA) is a multivariate model widely used to extract contributing features from each data while maximizing the cross-modality correlation. The model is achieved by using the combination of pairwise covariances between any two data sets. However, the scales of different pairwise covariances could be quite different and the direct combination of pairwise covariances in SMCCA is unfair...
February 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29353880/differential-effect-of-disease-associated-st8sia2-haplotype-on-cerebral-white-matter-diffusion-properties-in-schizophrenia-and-healthy-controls
#7
REVIEW
Janice M Fullerton, Paul Klauser, Rhoshel K Lenroot, Alex D Shaw, Bronwyn Overs, Anna Heath, Murray J Cairns, Joshua Atkins, Rodney Scott, Peter R Schofield, Cyndi Shannon Weickert, Christos Pantelis, Alex Fornito, Thomas J Whitford, Thomas W Weickert, Andrew Zalesky
Brain white matter abnormalities are evident in individuals with schizophrenia, and also their first-degree relatives, suggesting that some alterations may relate to underlying genetic risk. The ST8 alpha-N-acetyl-neuraminide alpha-2,8-sialyltransferase 2 (ST8SIA2) gene, which encodes the alpha-2,8-sialyltransferase 8B enzyme that aids neuronal migration and synaptic plasticity, was previously implicated as a schizophrenia susceptibility gene. This study examined the extent to which specific haplotypes in ST8SIA2 influence white matter microstructure using diffusion-weighted imaging of individuals with schizophrenia (n = 281) and healthy controls (n = 172), recruited across five Australian sites...
January 22, 2018: Translational Psychiatry
https://www.readbyqxmd.com/read/29324666/mapping-the-schizophrenia-genes-by-neuroimaging-the-opportunities-and-the-challenges
#8
REVIEW
Ayla Arslan
Schizophrenia (SZ) is a heritable brain disease originating from a complex interaction of genetic and environmental factors. The genes underpinning the neurobiology of SZ are largely unknown but recent data suggest strong evidence for genetic variations, such as single nucleotide polymorphisms, making the brain vulnerable to the risk of SZ. Structural and functional brain mapping of these genetic variations are essential for the development of agents and tools for better diagnosis, treatment and prevention of SZ...
January 11, 2018: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/29302076/candidate-cspg4-mutations-and-induced-pluripotent-stem-cell-modeling-implicate-oligodendrocyte-progenitor-cell-dysfunction-in-familial-schizophrenia
#9
Femke M de Vrij, Christian G Bouwkamp, Nilhan Gunhanlar, Guy Shpak, Bas Lendemeijer, Maarouf Baghdadi, Shreekara Gopalakrishna, Mehrnaz Ghazvini, Tracy M Li, Marialuisa Quadri, Simone Olgiati, Guido J Breedveld, Michiel Coesmans, Edwin Mientjes, Ton de Wit, Frans W Verheijen, H Berna Beverloo, Dan Cohen, Rob M Kok, P Roberto Bakker, Aviva Nijburg, Annet T Spijker, P M Judith Haffmans, Erik Hoencamp, Veerle Bergink, Jacob A Vorstman, Timothy Wu, Loes M Olde Loohuis, Najaf Amin, Carolyn D Langen, Albert Hofman, Witte J Hoogendijk, Cornelia M van Duijn, M Arfan Ikram, Meike W Vernooij, Henning Tiemeier, André G Uitterlinden, Ype Elgersma, Ben Distel, Joost Gribnau, Tonya White, Vincenzo Bonifati, Steven A Kushner
Schizophrenia is highly heritable, yet its underlying pathophysiology remains largely unknown. Among the most well-replicated findings in neurobiological studies of schizophrenia are deficits in myelination and white matter integrity; however, direct etiological genetic and cellular evidence has thus far been lacking. Here, we implement a family-based approach for genetic discovery in schizophrenia combined with functional analysis using induced pluripotent stem cells (iPSCs). We observed familial segregation of two rare missense mutations in Chondroitin Sulfate Proteoglycan 4 (CSPG4) (c...
January 4, 2018: Molecular Psychiatry
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
#10
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
#11
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
#12
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
#13
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
#14
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...
January 15, 2018: 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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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