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The development of brain network hubs

Developmental cognitive neuroscience, 2019-04, Vol.36, p.100607-100607, Article 100607

2019

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An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI

NeuroImage (Orlando, Fla.), 2018-05, Vol.171, p.415-436

2018

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Graph analysis of the human connectome: Promise, progress, and pitfalls

NeuroImage (Orlando, Fla.), 2013-10, Vol.80, p.426-444

2013

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A practical guide to linking brain-wide gene expression and neuroimaging data

NeuroImage (Orlando, Fla.), 2019-04, Vol.189, p.353-367

2019

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A transcriptional signature of hub connectivity in the mouse connectome

Proceedings of the National Academy of Sciences - PNAS, 2016-02, Vol.113 (5), p.1435-1440

2016

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The anticipation and outcome phases of reward and loss processing: A neuroimaging meta‐analysis of the monetary incentive delay task

Human brain mapping, 2018-08, Vol.39 (8), p.3398-3418

2018

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Network-based statistic: Identifying differences in brain networks

NeuroImage (Orlando, Fla.), 2010-12, Vol.53 (4), p.1197-1207

2010

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Fundamentals of Brain Network Analysis

1, 2016

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Connectomics: A new paradigm for understanding brain disease

European neuropsychopharmacology, 2015-05, Vol.25 (5), p.733-748

2015

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Time-resolved resting-state brain networks

Proceedings of the National Academy of Sciences - PNAS, 2014-07, Vol.111 (28), p.10341-10346

2014

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Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data

Nature communications, 2021-05, Vol.12 (1), p.2669-13, Article 2669

2021

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Consistency and differences between centrality measures across distinct classes of networks

PloS one, 2019-07, Vol.14 (7), p.e0220061-e0220061

2019

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On the use of correlation as a measure of network connectivity

NeuroImage (Orlando, Fla.), 2012-05, Vol.60 (4), p.2096-2106

2012

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Competitive and cooperative dynamics of large-scale brain functional networks supporting recollection

Proceedings of the National Academy of Sciences - PNAS, 2012-07, Vol.109 (31), p.12788-12793

2012

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Dopamine, fronto-striato-thalamic circuits and risk for psychosis

Schizophrenia research, 2017-02, Vol.180, p.48-57

2017

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Abnormal Structural Networks Characterize Major Depressive Disorder: A Connectome Analysis

Biological psychiatry (1969), 2014-10, Vol.76 (7), p.567-574

2014

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Where the genome meets the connectome: Understanding how genes shape human brain connectivity

NeuroImage (Orlando, Fla.), 2021-12, Vol.244, p.118570-118570, Article 118570

2021

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Identifying and removing widespread signal deflections from fMRI data: Rethinking the global signal regression problem

NeuroImage (Orlando, Fla.), 2020-05, Vol.212, p.116614-116614, Article 116614

2020

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Voxelwise Meta-Analysis of Gray Matter Abnormalities in Bipolar Disorder

Biological psychiatry (1969), 2010-06, Vol.67 (11), p.1097-1105

2010

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Psychological resilience and neurodegenerative risk: A connectomics‐transcriptomics investigation in healthy adolescent and middle‐aged females

NeuroImage (Orlando, Fla.), 2022-07, Vol.255, p.119209-119209, Article 119209

2022

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Connectome sensitivity or specificity: which is more important?

NeuroImage (Orlando, Fla.), 2016-11, Vol.142, p.407-420

2016

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Adolescent neurodevelopment and psychopathology: The interplay between adversity exposure and genetic risk for accelerated brain ageing

Developmental cognitive neuroscience, 2023-04, Vol.60, p.101229-101229, Article 101229

2023

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Network scaling effects in graph analytic studies of human resting-state FMRI data

Frontiers in systems neuroscience, 2010-01, Vol.4, p.22-22

2010

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Standardizing workflows in imaging transcriptomics with the abagen toolbox

eLife, 2021-11, Vol.10

2021

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Structural brain abnormalities in major depressive disorder: A selective review of recent MRI studies

Journal of affective disorders, 2009-09, Vol.117 (1), p.1-17

2009

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The development of brain network hubs

An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI

Graph analysis of the human connectome: Promise, progress, and pitfalls

A practical guide to linking brain-wide gene expression and neuroimaging data

A transcriptional signature of hub connectivity in the mouse connectome

The anticipation and outcome phases of reward and loss processing: A neuroimaging meta‐analysis of the monetary incentive delay task

Network-based statistic: Identifying differences in brain networks

Fundamentals of Brain Network Analysis

Connectomics: A new paradigm for understanding brain disease

Time-resolved resting-state brain networks

Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data

Consistency and differences between centrality measures across distinct classes of networks

On the use of correlation as a measure of network connectivity

Competitive and cooperative dynamics of large-scale brain functional networks supporting recollection

Dopamine, fronto-striato-thalamic circuits and risk for psychosis

Abnormal Structural Networks Characterize Major Depressive Disorder: A Connectome Analysis

Where the genome meets the connectome: Understanding how genes shape human brain connectivity

Identifying and removing widespread signal deflections from fMRI data: Rethinking the global signal regression problem

Voxelwise Meta-Analysis of Gray Matter Abnormalities in Bipolar Disorder

Psychological resilience and neurodegenerative risk: A connectomics‐transcriptomics investigation in healthy adolescent and middle‐aged females

Connectome sensitivity or specificity: which is more important?

Adolescent neurodevelopment and psychopathology: The interplay between adversity exposure and genetic risk for accelerated brain ageing

Network scaling effects in graph analytic studies of human resting-state FMRI data

Standardizing workflows in imaging transcriptomics with the abagen toolbox

Structural brain abnormalities in major depressive disorder: A selective review of recent MRI studies

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