scholarly article | Q13442814 |
P50 | author | Peter T. Fox | Q19664249 |
Simon B. Eickhoff | Q23890847 | ||
Daniel S Barron | Q60054835 | ||
Thomas J Vanasse | Q87660005 | ||
P Mickle Fox | Q88539195 | ||
Michaela Robertson | Q88539197 | ||
P2093 | author name string | Jack L Lancaster | |
P2860 | cites work | The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration | Q21092360 |
Identification of a common neurobiological substrate for mental illness | Q23890289 | ||
Automated Talairach Atlas labels for functional brain mapping | Q23890369 | ||
An investigation of the structural, connectional, and functional subspecialization in the human amygdala | Q23890428 | ||
Correspondence of the brain's functional architecture during activation and rest | Q23891366 | ||
Motor control and aging: links to age-related brain structural, functional, and biochemical effects | Q24628895 | ||
NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain | Q25473166 | ||
Neuronal network disintegration: common pathways linking neurodegenerative diseases | Q26750287 | ||
False positive rates in Voxel-based Morphometry studies of the human brain: should we be worried? | Q26995455 | ||
Imaging structural co-variance between human brain regions | Q27022385 | ||
Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates | Q28005523 | ||
Voxel-based morphometry–the methods | Q28138780 | ||
The connectomics of brain disorders | Q28257389 | ||
Meta-analysis in human neuroimaging: computational modeling of large-scale databases | Q28603111 | ||
Large-scale automated synthesis of human functional neuroimaging data | Q28916750 | ||
Advances in functional and structural MR image analysis and implementation as FSL | Q29547164 | ||
Research domain criteria (RDoC): toward a new classification framework for research on mental disorders | Q29547877 | ||
Neurodegenerative diseases target large-scale human brain networks | Q29614723 | ||
Investigations into resting-state connectivity using independent component analysis | Q29614804 | ||
Meta-analysis of the functional neuroanatomy of single-word reading: method and validation | Q29615936 | ||
Probabilistic independent component analysis for functional magnetic resonance imaging | Q29617076 | ||
Behavioral Interpretations of Intrinsic Connectivity Networks | Q29864123 | ||
Scanning the horizon: towards transparent and reproducible neuroimaging research. | Q30239829 | ||
Differences in human cortical gene expression match the temporal properties of large-scale functional networks | Q30421438 | ||
Correspondence between structure and function in the human brain at rest | Q30468829 | ||
Evaluating the consistency and specificity of neuroimaging data using meta-analysis | Q30718696 | ||
ANIMA: A data-sharing initiative for neuroimaging meta-analyses | Q30984309 | ||
Connectivity-based parcellation: Critique and implications | Q30997822 | ||
Analysis of fMRI data by blind separation into independent spatial components | Q32051524 | ||
Bayesian analysis of neuroimaging data in FSL. | Q33390048 | ||
False positives in neuroimaging genetics using voxel-based morphometry data | Q33695094 | ||
Age-related changes in processing speed: unique contributions of cerebellar and prefrontal cortex | Q33731761 | ||
Metaanalytic connectivity modeling: delineating the functional connectivity of the human amygdala | Q33857572 | ||
The hubs of the human connectome are generally implicated in the anatomy of brain disorders | Q33937468 | ||
Network-level structural covariance in the developing brain. | Q34241556 | ||
Altered small-world properties of gray matter networks in breast cancer | Q34282795 | ||
Meta-analytic methods for neuroimaging data explained | Q34318611 | ||
BrainMap taxonomy of experimental design: description and evaluation | Q34413320 | ||
Meta-analysis of gray matter anomalies in schizophrenia: application of anatomic likelihood estimation and network analysis | Q34779164 | ||
Associations between age and gray matter volume in anatomical brain networks in middle-aged to older adults | Q35080571 | ||
Abnormalities in structural covariance of cortical gyrification in schizophrenia | Q35783530 | ||
Predicting regional neurodegeneration from the healthy brain functional connectome | Q35991719 | ||
Human pulvinar functional organization and connectivity | Q36663689 | ||
Age-related changes in brain structural covariance networks | Q36715303 | ||
Cognitive relevance of the community structure of the human brain functional coactivation network | Q37010746 | ||
Thalamic medial dorsal nucleus atrophy in medial temporal lobe epilepsy: A VBM meta-analysis | Q37184549 | ||
Source-based morphometry: the use of independent component analysis to identify gray matter differences with application to schizophrenia | Q37362275 | ||
ICA model order selection of task co-activation networks | Q37379207 | ||
Gray matter structural networks are associated with cardiovascular risk factors in healthy older adults | Q38600419 | ||
Structural Covariance Networks in Children with Autism or ADHD. | Q38716988 | ||
Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation | Q38867228 | ||
Minimizing within-experiment and within-group effects in Activation Likelihood Estimation meta-analyses | Q38989298 | ||
Early grey matter changes in structural covariance networks in Huntington's disease | Q39200273 | ||
When the single matters more than the group: very high false positive rates in single case Voxel Based Morphometry. | Q39491124 | ||
Large-scale brain network abnormalities in Huntington's disease revealed by structural covariance | Q40446252 | ||
Meta-analysis: weighing the evidence | Q40527663 | ||
Commentary: Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates | Q41024615 | ||
Automated regional behavioral analysis for human brain images | Q42108347 | ||
Minimum statistical standards for submissions to Neuroimage: Clinical | Q42353557 | ||
Evidence of reporting biases in voxel-based morphometry (VBM) studies of psychiatric and neurological disorders | Q43487463 | ||
Mapping grey matter reductions in schizophrenia: an anatomical likelihood estimation analysis of voxel-based morphometry studies. | Q46454634 | ||
Adolescent Tuning of Association Cortex in Human Structural Brain Networks | Q47310360 | ||
Abnormalities in the structural covariance of emotion regulation networks in major depressive disorder | Q47381546 | ||
Ten simple rules for neuroimaging meta-analysis | Q47406336 | ||
The hippocampal network model: A transdiagnostic metaconnectomic approach. | Q47553885 | ||
The role of the fusiform-amygdala system in the pathophysiology of autism | Q48248183 | ||
Databasing the brain | Q48394380 | ||
Beyond the single study: function/location metanalysis in cognitive neuroimaging | Q48443878 | ||
Distributional assumptions in voxel-based morphometry | Q48469787 | ||
Mapping context and content: the BrainMap model | Q48625132 | ||
Rich-Club Organization of the Human Connectome | Q57271902 | ||
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis | Q57380611 | ||
Changing topological patterns in normal aging using large-scale structural networks | Q57724969 | ||
Neuroscience on the net | Q59858705 | ||
Independent component analysis, A new concept? | Q67223831 | ||
P433 | issue | 8 | |
P921 | main subject | meta-analysis | Q815382 |
P1104 | number of pages | 18 | |
P304 | page(s) | 3308-3325 | |
P577 | publication date | 2018-05-02 | |
P1433 | published in | Human Brain Mapping | Q5936947 |
P1476 | title | BrainMap VBM: An environment for structural meta-analysis | |
P478 | volume | 39 |
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