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References from Imaging Transcriptomics of Brain Disorders. Local targets link to admitted publications; unresolved targets remain external evidence.
Where the genome meets the connectome: Understanding how genes shape human brain connectivity
10.1016/j.neuroimage.2021.118570 · 2021 · External reference
Imaging genetics—Days of future past
10.1016/j.neuroimage.2010.01.035 · 2010 · External reference
Bridging the gap between connectome and transcriptome
10.1016/j.tics.2018.10.005 · 2019 · External reference
Imaging genetics and psychiatric disorders
10.2174/1566524015666150303104159 · 2015 · External reference
Genetic influences on brain structure
10.1038/nn758 · 2001 · External reference
Genetics of the connectome
10.1016/j.neuroimage.2013.05.013 · 2013 · External reference
Where the genome meets the connectome: Understanding how genes shape human brain connectivity
10.1016/j.neuroimage.2021.118570 · 2021 · External reference
Genetic influences on hub connectivity of the human connectome
10.1038/s41467-021-24306-2 · 2021 · External reference
Quantitative genetic modeling of variation in human brain morphology
10.1093/cercor/11.9.816 · 2001 · External reference
Heritability analysis with repeat measurements and its application to resting-state functional connectivity
10.1073/pnas.1700765114 · 2017 · External reference
The reliability and heritability of cortical folds and their genetic correlations across hemispheres
10.1038/s42003-020-01163-1 · 2020 · External reference
Investigating brain connectivity heritability in a twin study using diffusion imaging data
10.1016/j.neuroimage.2014.06.041 · 2014 · External reference
Genome-wide association studies of brain imaging phenotypes in UK Biobank
10.1038/s41586-018-0571-7 · 2018 · External reference
Common genetic variants influence human subcortical brain structures
10.1038/nature14101 · 2015 · External reference
An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank
10.1038/s41593-021-00826-4 · 2021 · External reference
Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits
10.1038/s41588-019-0516-6 · 2019 · External reference
Novel genetic loci associated with hippocampal volume
10.1038/ncomms13624 · 2017 · External reference
Genetic architecture of subcortical brain structures in 38,851 individuals
10.1038/s41588-019-0511-y · 2019 · External reference
Environmental effects on gene expression phenotype have regional biases in the human genome
10.1534/genetics.106.069047 · 2007 · External reference
Social regulation of human gene expression
10.1111/j.1467-8721.2009.01623.x · 2009 · External reference
Aging and gene expression in the primate brain
10.1371/journal.pbio.0030274 · 2005 · External reference
An anatomically comprehensive atlas of the adult human brain transcriptome
10.1038/nature11405 · 2012 · External reference
Genome-wide atlas of gene expression in the adult mouse brain
10.1038/nature05453 · 2007 · External reference
Navigating gene expression using microarrays—A technology review
10.1038/35087138 · 2001 · External reference
Spatio-temporal transcriptome of the human brain
10.1038/nature10523 · 2011 · External reference
Molecular and cellular reorganization of neural circuits in the human lineage
10.1126/science.aan3456 · 2017 · External reference
Brain transcriptome databases: A user’s guide
10.1523/jneurosci.1930-17.2018 · 2018 · External reference
Canonical genetic signatures of the adult human brain
10.1038/nn.4171 · 2015 · External reference
Epigenetics across the human lifespan
10.3389/fcell.2014.00049 · 2014 · External reference
Aerobic glycolysis in the human brain is associated with development and neotenous gene expression
10.1016/j.cmet.2013.11.020 · 2014 · External reference
Temporal changes in the gene expression heterogeneity during brain development and aging
10.1038/s41598-020-60998-0 · 2020 · External reference
Transcriptional landscape of the prenatal human brain
10.1038/nature13185 · 2014 · External reference
Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics
10.1371/journal.pbio.2006387 · 2018 · External reference
Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain
10.1126/science.aaf1204 · 2016 · External reference
A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation
10.1016/j.cell.2021.04.021 · 2021 · External reference
Comparing protein abundance and mRNA expression levels on a genomic scale
10.1186/gb-2003-4-9-117 · 2003 · External reference
Global quantification of mammalian gene expression control
10.1038/nature10098 · 2011 · External reference
Connectome disconnectivity and cortical gene expression in patients with schizophrenia
10.1016/j.biopsych.2016.07.012 · 2017 · External reference
Transcriptomic and cellular decoding of regional brain vulnerability to neurogenetic disorders
10.1038/s41467-020-17051-5 · 2020 · External reference
Hub connectivity, neuronal diversity, and gene expression in the Caenorhabditis elegans connectome
10.1371/journal.pcbi.1005989 · 2018 · External reference
A transcriptional signature of hub connectivity in the mouse connectome
10.1073/pnas.1513302113 · 2016 · External reference
Correlated gene expression supports synchronous activity in brain networks
10.1126/science.1255905 · 2015 · External reference
Gene networks show associations with seed region connectivity
10.1002/hbm.23579 · 2017 · External reference
Functional organization of the transcriptome in human brain
2008 · External reference
Structural covariance networks are coupled to expression of genes enriched in supragranular layers of the human cortex
10.1016/j.neuroimage.2017.12.060 · 2018 · External reference
Hierarchy of transcriptomic specialization across human cortex captured by structural neuroimaging topography
10.1038/s41593-018-0195-0 · 2018 · External reference
Scaling of gene transcriptional gradients with brain size across mouse development
10.1016/j.neuroimage.2020.117395 · 2021 · External reference
Human cortical thickness organized into genetically determined communities across spatial resolutions
10.1093/cercor/bhx309 · 2019 · External reference
Generative modeling of brain maps with spatial autocorrelation
10.1016/j.neuroimage.2020.117038 · 2020 · External reference
Integration of human whole-brain transcriptome and neuroimaging data: Practical considerations of current available methods
10.1016/j.jneumeth.2021.109128 · 2021 · External reference
Adolescent tuning of association cortex in human structural brain networks
10.1093/cercor/bhx249 · 2018 · External reference
Statistical testing in transcriptomic-neuroimaging studies: A how-to and evaluation of methods assessing spatial and gene specificity
10.1002/hbm.25711 · 2022 · External reference
Comparing spatial null models for brain maps
10.1016/j.neuroimage.2021.118052 · 2021 · External reference
Mapping gene transcription and neurocognition across human neocortex
10.1038/s41562-021-01082-z · 2021 · External reference
Adolescence is associated with genomically patterned consolidation of the hubs of the human brain connectome
10.1073/pnas.1601745113 · 2016 · External reference
Gene ontology: Tool for the unification of biology. The Gene Ontology Consortium
10.1038/75556 · 2000 · External reference
KEGG: Kyoto encyclopedia of genes and genomes
10.1093/nar/28.1.27 · 2000 · External reference
Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
10.1073/pnas.0506580102 · 2005 · External reference
Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data
10.1038/s41467-021-22862-1 · 2021 · External reference
A practical guide to linking brain-wide gene expression and neuroimaging data
10.1016/j.neuroimage.2019.01.011 · 2019 · External reference
Standardizing workflows in imaging transcriptomics with the abagen toolbox
10.7554/elife.72129 · 2021 · External reference
Structural MRI of pediatric brain development: What have we learned and where are we going?
10.1016/j.neuron.2010.08.040 · 2010 · External reference
Imaging structural and functional brain development in early childhood
10.1038/nrn.2018.1 · 2018 · External reference
A structural MRI study of human brain development from birth to 2 years
10.1523/jneurosci.3479-08.2008 · 2008 · External reference
Organizing principles of human cortical development—Thickness and area from 4 to 30 years: Insights from comparative primate neuroanatomy
10.1093/cercor/bhu214 · 2016 · External reference
Development of the cerebral cortex across adolescence: A multisample study of inter-related longitudinal changes in cortical volume, surface area, and thickness
10.1523/jneurosci.3302-16.2017 · 2017 · External reference
Cortical thickness abnormalities in autism spectrum disorders through late childhood, adolescence, and adulthood: A large-scale MRI study
10.1093/cercor/bhx038 · 2017 · External reference
Common and specific abnormalities in cortical thickness in patients with major depressive and bipolar disorders
10.1016/j.ebiom.2017.01.010 · 2017 · External reference
Cortical thickness in major depressive disorder: A systematic review and meta-analysis
10.1016/j.pnpbp.2018.08.008 · 2019 · External reference
Changes in cortical thickness during the course of illness in schizophrenia
10.1001/archgenpsychiatry.2011.88 · 2011 · External reference
Age of onset of schizophrenia: Perspectives from structural neuroimaging studies
10.1093/schbul/sbr030 · 2011 · External reference
The epidemiology of early schizophrenia. Influence of age and gender on onset and early course
10.1192/s0007125000292714 · 1994 · External reference
Apparent thinning of human visual cortex during childhood is associated with myelination
10.1073/pnas.1904931116 · 2019 · External reference
Cross-laboratory analysis of brain cell type transcriptomes with applications to interpretation of bulk tissue data
10.1523/eneuro.0212-17.2017 · 2017 · External reference
Brain structure. Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
10.1126/science.aaa1934 · 2015 · External reference
Discovering conserved properties of brain organization through multimodal integration and interspecies comparison
2019 · External reference
Magnetization transfer ratio and myelin in postmortem multiple sclerosis brain
10.1002/ana.20202 · 2004 · External reference
Maturation of the human cerebral cortex during adolescence: Myelin or dendritic arbor?
10.1093/cercor/bhy204 · 2019 · External reference
Shifts in myeloarchitecture characterise adolescent development of cortical gradients
10.7554/elife.50482 · 2019 · External reference
Cell-specific gene-expression profiles and cortical thickness in the human brain
10.1093/cercor/bhx197 · 2018 · External reference
Cellular correlates of cortical thinning throughout the lifespan
10.1038/s41598-020-78471-3 · 2020 · External reference
Assessment of neurobiological mechanisms of cortical thinning during childhood and adolescence and their implications for psychiatric disorders
10.1001/jamapsychiatry.2020.1495 · 2020 · External reference
Cortical remodelling in childhood is associated with genes enriched for neurodevelopmental disorders
10.1016/j.neuroimage.2020.116803 · 2020 · External reference
Why is there selective subcortical vulnerability in ADHD? Clues from postmortem brain gene expression data
10.1038/mp.2017.242 · 2018 · External reference
Autophagy, apoptosis, and neurodevelopmental genes might underlie selective brain region vulnerability in attention-deficit/hyperactivity disorder
10.1038/s41380-020-00974-2 · 2021 · External reference
Synaptic and transcriptionally downregulated genes are associated with cortical thickness differences in autism
10.1038/s41380-018-0023-7 · 2019 · External reference
Brain mRNA expression associated with cortical volume alterations in autism spectrum disorder
10.1016/j.celrep.2020.108137 · 2020 · External reference
Virtual histology of cortical thickness and shared neurobiology in 6 psychiatric disorders
10.1001/jamapsychiatry.2020.2694 · 2021 · External reference
Genes associated with gray matter volume alterations in schizophrenia
10.1016/j.neuroimage.2020.117526 · 2021 · External reference
Neurodevelopmental hypothesis of schizophrenia
10.1192/bjp.bp.110.084384 · 2011 · External reference
Cortical parvalbumin interneurons and cognitive dysfunction in schizophrenia
10.1016/j.tins.2011.10.004 · 2012 · External reference
Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk
10.1038/s41467-020-16710-x · 2020 · External reference
Schizotypy-related magnetization of cortex in healthy adolescence is colocated with expression of schizophrenia-related genes
10.1016/j.biopsych.2019.12.005 · 2020 · External reference
Schizophrenia, neuroimaging and connectomics
10.1016/j.neuroimage.2011.12.090 · 2012 · External reference
Dysconnection in schizophrenia: From abnormal synaptic plasticity to failures of self-monitoring
10.1093/schbul/sbn176 · 2009 · External reference
Morphometric similarity networks detect microscale cortical organization and predict inter-individual cognitive variation
10.1016/j.neuron.2017.11.039 · 2018 · External reference
The anatomical distance of functional connections predicts brain network topology in health and schizophrenia
10.1093/cercor/bhr388 · 2013 · External reference
Convergence and divergence of thickness correlations with diffusion connections across the human cerebral cortex
10.1016/j.neuroimage.2011.08.017 · 2012 · External reference
Principles of ipsilateral and contralateral cortico-cortical connectivity in the mouse
10.1007/s00429-016-1277-y · 2017 · External reference
Aberrant frontal and temporal complex network structure in schizophrenia: A graph theoretical analysis
10.1523/jneurosci.2874-10.2010 · 2010 · External reference
Disrupted axonal fiber connectivity in schizophrenia
10.1016/j.biopsych.2010.08.022 · 2011 · External reference
Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes
10.1073/pnas.1820754116 · 2019 · External reference
Altered voxel-wise gray matter structural brain networks in schizophrenia: Association with brain genetic expression pattern
10.1007/s11682-018-9880-6 · 2019 · External reference
Cortical structural differences in major depressive disorder correlate with cell type-specific transcriptional signatures
10.1038/s41467-021-21943-5 · 2021 · External reference
Convergent molecular, cellular, and cortical neuroimaging signatures of major depressive disorder
10.1073/pnas.2008004117 · 2020 · External reference
Local dynamic spontaneous brain activity changes in first-episode, treatment-naïve patients with major depressive disorder and their associated gene expression profiles [published online ahead of print Oct 30]
2020 · External reference
Somatostatin-positive gamma-aminobutyric acid interneuron deficits in depression: Cortical microcircuit and therapeutic perspectives
10.1016/j.biopsych.2017.05.024 · 2017 · External reference
Targeting glutamate signalling in depression: Progress and prospects
10.1038/nrd.2017.16 · 2017 · External reference
Astrocyte pathology in major depressive disorder: Insights from human postmortem brain tissue
10.2174/13894501113149990156 · 2013 · External reference
Reduced somatostatin in subgenual anterior cingulate cortex in major depression
10.1016/j.nbd.2011.01.014 · 2011 · External reference
Tau-mediated neurodegeneration in Alzheimer’s disease and related disorders
10.1038/nrn2194 · 2007 · External reference
Dynamics of cortical degeneration over a decade in Huntington’s disease
10.1016/j.biopsych.2020.11.009 · 2021 · External reference
Mapping neurodegenerative disease onset and progression
10.1101/cshperspect.a023622 · 2017 · External reference
Huntington’s disease genetics
10.1602/neurorx.1.2.255 · 2004 · External reference
Brain regions showing white matter loss in Huntington’s disease are enriched for synaptic and metabolic genes
10.1016/j.biopsych.2017.10.019 · 2018 · External reference
Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk
10.1038/s41588-018-0311-9 · 2019 · External reference
Fine-mapping the effects of Alzheimer’s disease risk loci on brain morphology
10.1016/j.neurobiolaging.2016.08.024 · 2016 · External reference
Diabetes and the risk of multi-system aging phenotypes: A systematic review and meta-analysis
10.1371/journal.pone.0004144 · 2009 · External reference
Associating type 2 diabetes risk factor genes and FDG-PET brain metabolism in normal aging and Alzheimer’s disease
10.3389/fnagi.2020.580633 · 2020 · External reference
Regional expression of genes mediating trans-synaptic alpha-synuclein transfer predicts regional atrophy in Parkinson disease
10.1016/j.nicl.2018.01.009 · 2018 · External reference
Regional brain iron and gene expression provide insights into neurodegeneration in Parkinson’s disease
10.1093/brain/awab084 · 2021 · External reference
Molecular properties underlying regional vulnerability to Alzheimer’s disease pathology
2018 · External reference
Regional expression of the MAPT gene is associated with loss of hubs in brain networks and cognitive impairment in Parkinson disease and progressive supranuclear palsy
10.1016/j.neurobiolaging.2016.09.001 · 2016 · External reference
Spreading of pathology in neurodegenerative diseases: A focus on human studies
10.1038/nrn3887 · 2015 · External reference
Inclusion formation and neuronal cell death through neuron-to-neuron transmission of α-synuclein
10.1073/pnas.0903691106 · 2009 · External reference
The connectomics of brain disorders
10.1038/nrn3901 · 2015 · External reference
Propagation and spread of pathogenic protein assemblies in neurodegenerative diseases
10.1038/s41593-018-0238-6 · 2018 · External reference
Computational modeling of tau pathology spread reveals patterns of regional vulnerability and the impact of a genetic risk factor
10.1126/sciadv.abg6677 · 2021 · External reference
Predictive model of spread of Parkinson’s pathology using network diffusion
10.1016/j.neuroimage.2019.03.001 · 2019 · External reference
A network diffusion model of disease progression in dementia
10.1016/j.neuron.2011.12.040 · 2012 · External reference
Regional transcriptional architecture of Parkinson’s disease pathogenesis and network spread
10.1093/brain/awz223 · 2019 · External reference
Local vulnerability and global connectivity jointly shape neurodegenerative disease propagation
10.1371/journal.pbio.3000495 · 2019 · External reference
Misfolded protein propagation in an integrated computational model of structural network and LRRK2 gene expression
2020 · External reference
Dynamical consequences of regional heterogeneity in the brain’s transcriptional landscape
10.1126/sciadv.abf4752 · 2021 · External reference
Identifying and removing widespread signal deflections from fMRI data: Rethinking the global signal regression problem
10.1016/j.neuroimage.2020.116614 · 2020 · External reference
Variability in the analysis of a single neuroimaging dataset by many teams
10.1038/s41586-020-2314-9 · 2020 · External reference
Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity
10.1016/j.neuroimage.2017.03.020 · 2017 · External reference
The efficacy of different preprocessing steps in reducing motion-related confounds in diffusion MRI connectomics
10.1016/j.neuroimage.2020.117252 · 2020 · External reference
An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI
10.1016/j.neuroimage.2017.12.073 · 2018 · External reference
The contribution of geometry to the human connectome
10.1016/j.neuroimage.2015.09.009 · 2016 · External reference
Neurophysiological architecture of functional magnetic resonance images of human brain
10.1093/cercor/bhi016 · 2005 · External reference
Transcriptional profiles of supragranular-enriched genes associate with corticocortical network architecture in the human brain
10.1073/pnas.1510903113 · 2016 · External reference
Commentary: BRAIN NETWORKS. Correlated gene expression supports synchronous activity in brain networks. Science 348, 1241-1244
10.3389/fnins.2017.00412 · 2017 · External reference
Distance is not everything in imaging genomics of functional networks: Reply to a commentary on Correlated gene expression supports synchronous activity in brain networks
2017 · External reference
Comprehensive functional genomic resource and integrative model for the human brain
10.1126/science.aat8464 · 2018 · External reference
Single-cell atlas of early human brain development highlights heterogeneity of human neuroepithelial cells and early radial glia
10.1038/s41593-020-00794-1 · 2021 · External reference
A single-cell transcriptomic atlas of human neocortical development during mid-gestation
10.1016/j.neuron.2019.06.011 · 2019 · External reference
STAB: A spatio-temporal cell atlas of the human brain
10.1093/nar/gkaa762 · 2021 · External reference
Single-cell and single-nucleus RNA-seq uncovers shared and distinct axes of variation in dorsal LGN neurons in mice, non-human primates, and humans
10.7554/elife.64875 · 2021 · External reference
