Transcriptional and Cellular Signatures of Morphometric Similarity Remodeling in Major Depressive Disorder
暂无分享,去创建一个
Huafu Chen | J. Suckling | Kai Wang | W. Liao | Gong-Jun Ji | J. Seidlitz | Siqi Yang | Jiao Li | Yao Meng | Feiyang Fan
[1] Erick Jorge Canales-Rodríguez,et al. Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders. , 2020, JAMA psychiatry.
[2] D. Geschwind,et al. Transcriptomic and cellular decoding of regional brain vulnerability to neurogenetic disorders , 2020, Nature Communications.
[3] J. Ragoussis,et al. Single-nucleus transcriptomics of the prefrontal cortex in major depressive disorder implicates oligodendrocyte precursor cells and excitatory neurons , 2020, Nature Neuroscience.
[4] Ju Wang,et al. Analyzing the genes and pathways related to major depressive disorder via a systems biology approach , 2019, Brain and behavior.
[5] Peter B. Jones,et al. Schizotypy-Related Magnetization of Cortex in Healthy Adolescence Is Colocated With Expression of Schizophrenia-Related Genes , 2019, Biological Psychiatry.
[6] Yong Xu,et al. The rise and fall of MRI studies in major depressive disorder , 2019, Translational Psychiatry.
[7] M. P. van den Heuvel,et al. Severity of current depression and remission status are associated with structural connectome alterations in major depressive disorder , 2019, Molecular Psychiatry.
[8] Fan Yang,et al. Astrocyte, a Promising Target for Mood Disorder Interventions , 2019, Front. Mol. Neurosci..
[9] E. Bullmore,et al. Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes , 2018, Proceedings of the National Academy of Sciences.
[10] Alireza Hadj Khodabakhshi,et al. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets , 2019, Nature Communications.
[11] Garry D. Honey,et al. Patients with autism spectrum disorders display reproducible functional connectivity alterations , 2019, Science Translational Medicine.
[12] Ben D. Fulcher,et al. Bridging the Gap between Connectome and Transcriptome , 2019, Trends in Cognitive Sciences.
[13] Annie W Shieh,et al. Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder , 2018, Science.
[14] Ben D. Fulcher,et al. A practical guide to linking brain-wide gene expression and neuroimaging data , 2018, NeuroImage.
[15] M. Dylan Tisdall,et al. Quantitative assessment of structural image quality , 2018, NeuroImage.
[16] Thomas W. Mühleisen,et al. Integration of transcriptomic and cytoarchitectonic data implicates a role for MAOA and TAC1 in the limbic-cortical network , 2018, Brain Structure and Function.
[17] Warren W. Kretzschmar,et al. Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression , 2017, Nature Genetics.
[18] anonymous. In Review , 2018 .
[19] Peter B. Jones,et al. Morphometric Similarity Networks Detect Microscale Cortical Organization and Predict Inter-Individual Cognitive Variation , 2017, Neuron.
[20] Leon French,et al. Transcriptomic characterization of MRI contrast with focus on the T1-w/T2-w ratio in the cerebral cortex , 2017, NeuroImage.
[21] Edward T. Bullmore,et al. Synaptic and transcriptionally downregulated genes are associated with cortical thickness differences in autism , 2017, bioRxiv.
[22] Alan C. Evans,et al. Gene networks show associations with seed region connectivity , 2017, Human brain mapping.
[23] Peter B. Jones,et al. Adolescent Tuning of Association Cortex in Human Structural Brain Networks , 2017, bioRxiv.
[24] René S. Kahn,et al. Connectome Disconnectivity and Cortical Gene Expression in Patients With Schizophrenia , 2017, Biological Psychiatry.
[25] Anders M. Dale,et al. Genetic and environmental influences on cortical mean diffusivity , 2017, NeuroImage.
[26] E. Sibille,et al. Decrease in somatostatin‐positive cell density in the amygdala of females with major depression , 2017, Depression and anxiety.
[27] Chad J. Donahue,et al. Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey , 2016, The Journal of Neuroscience.
[28] Nick C Fox,et al. Analysis of shared heritability in common disorders of the brain , 2018, Science.
[29] S. Horvath,et al. Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap , 2016, Science.
[30] Zonglei Zhen,et al. Genetic Variation in S100B Modulates Neural Processing of Visual Scenes in Han Chinese , 2016, Cerebral cortex.
[31] Claus C. Hilgetag,et al. Principles of ipsilateral and contralateral cortico-cortical connectivity in the mouse , 2015, Brain Structure and Function.
[32] D. Geschwind,et al. Correspondence between Resting-State Activity and Brain Gene Expression , 2015, Neuron.
[33] Allan R. Jones,et al. Canonical Genetic Signatures of the Adult Human Brain , 2015, Nature Neuroscience.
[34] R. Yirmiya,et al. Depression as a Microglial Disease , 2015, Trends in Neurosciences.
[35] H. Barbas. General cortical and special prefrontal connections: principles from structure to function. , 2015, Annual review of neuroscience.
[36] M. Rietschel,et al. Correlated gene expression supports synchronous activity in brain networks , 2015, Science.
[37] P. Fox,et al. Identification of a common neurobiological substrate for mental illness. , 2015, JAMA psychiatry.
[38] E. Sibille,et al. Somatostatin, neuronal vulnerability and behavioral emotionality , 2014, Molecular Psychiatry.
[39] L. Williams,et al. Abnormal Structural Networks Characterize Major Depressive Disorder: A Connectome Analysis , 2014, Biological Psychiatry.
[40] E. Bullmore,et al. The hubs of the human connectome are generally implicated in the anatomy of brain disorders , 2014, Brain : a journal of neurology.
[41] Etienne Sibille,et al. Why Are Cortical GABA Neurons Relevant to Internal Focus in Depression? A cross-level model linking cellular, biochemical, and neural network findings , 2014, Molecular Psychiatry.
[42] J. P. Hamilton,et al. Anomalous Gray Matter Structural Networks in Major Depressive Disorder , 2013, Biological Psychiatry.
[43] J. Nabekura,et al. Microglia: actively surveying and shaping neuronal circuit structure and function , 2013, Trends in Neurosciences.
[44] 真田 昌. 骨髄異形成症候群のgenome-wide analysis , 2013 .
[45] E. Bullmore,et al. Imaging structural co-variance between human brain regions , 2013, Nature Reviews Neuroscience.
[46] R. Mechoulam,et al. The endocannabinoid system and the brain. , 2013, Annual review of psychology.
[47] Peter B. Jones,et al. Adult mental health disorders and their age at onset , 2013, British Journal of Psychiatry.
[48] G. Aghajanian,et al. Synaptic Dysfunction in Depression: Potential Therapeutic Targets , 2012, Science.
[49] P. Castillo,et al. Endocannabinoid Signaling and Synaptic Function , 2012, Neuron.
[50] Allan R. Jones,et al. An anatomically comprehensive atlas of the adult human brain transcriptome , 2012, Nature.
[51] G. Rajkowska,et al. Decreased Expression of Synapse-Related Genes and Loss of Synapses in Major Depressive Disorder , 2012, Nature Medicine.
[52] T. Freund,et al. Multiple functions of endocannabinoid signaling in the brain. , 2012, Annual review of neuroscience.
[53] Allan R. Jones,et al. Large-Scale Cellular-Resolution Gene Profiling in Human Neocortex Reveals Species-Specific Molecular Signatures , 2012, Cell.
[54] Yong He,et al. Topologically Convergent and Divergent Structural Connectivity Patterns between Patients with Remitted Geriatric Depression and Amnestic Mild Cognitive Impairment , 2012, The Journal of Neuroscience.
[55] Line Harder Clemmensen,et al. Effects of network resolution on topological properties of human neocortex , 2012, NeuroImage.
[56] G. Tseng,et al. Molecular evidence for BDNF- and GABA-related dysfunctions in the amygdala of female subjects with Major Depression , 2011, Molecular Psychiatry.
[57] Marisa O. Hollinshead,et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. , 2011, Journal of neurophysiology.
[58] M. Furey,et al. Brain structural and functional abnormalities in mood disorders: implications for neurocircuitry models of depression , 2008, Brain Structure and Function.
[59] A. Simon,et al. Somatostatinergic systems in brain: Networks and functions , 2008, Molecular and Cellular Endocrinology.
[60] A. Bilkei-Gorzo,et al. Diminished Anxiety- and Depression-Related Behaviors in Mice with Selective Deletion of the Tac1 Gene , 2002, The Journal of Neuroscience.
[61] H. Abdi. Partial least squares regression and projection on latent structure regression (PLS Regression) , 2010 .
[62] C. Economo,et al. Atlas of Cytoarchitectonics of the Adult Human Cerebral Cortex , 2008 .