Neda Jahanshad

发表

The common genetic influence over processing speed and white matter microstructure: Evidence from the Old Order Amish and Human Connectome Projects

Paul M. Thompson, Thomas E. Nichols, L. Elliot Hong, 2016, NeuroImage.

Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings

Paul M. Thompson, Charles DeCarli, Mohamad Habes, 2019, Alzheimer's & dementia.

ENIGMA-Viewer: Interactive Visualization Strategies for Conveying Effect Sizes in Meta-Analysis

Paul M. Thompson, Jian Chen, Guohao Zhang, 2016, BCB.

How do spatial and angular resolution affect brain connectivity maps from diffusion MRI?

Paul M. Thompson, Bryon A. Mueller, Arthur W. Toga, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Towards Automated Hypothesis Testing in Neuroscience

Yolanda Gil, Varun Ratnakar, Shobeir Fakhraei, 2019, Poly/DMAH@VLDB.

ENIGMA-Viewer: interactive visualization strategies for conveying effect sizes in meta-analysis

Paul M. Thompson, Jian Chen, Guohao Zhang, 2016, BMC Bioinformatics.

Bivariate Genome-Wide Association Study of Genetically Correlated Neuroimaging Phenotypes from DTI and MRI through a Seemingly Unrelated Regression Model

Michael Weiner, Paul M. Thompson, Arthur W. Toga, 2013, MBIA.

Mapping age effects along fiber tracts in young adults

Paul M. Thompson, Katie L. McMahon, Greig I. de Zubicaray, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Alternative diffusion anisotropy measures for the investigation of white matter alterations in 22q11.2 deletion syndrome

Paul M. Thompson, Christopher R. K. Ching, Julio E. Villalon-Reina, 2018, Symposium on Medical Information Processing and Analysis.

Left versus right hemisphere differences in brain connectivity: 4-Tesla HARDI tractography in 569 twins

Paul M. Thompson, Arthur W. Toga, Katie L. McMahon, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Editorial: Collaborative Efforts for Understanding the Human Brain

Sook-Lei Liew, Neda Jahanshad, Lianne Schmaal, 2019, Front. Neuroinform..

2015 Brainhack Proceedings

Daniel S. Margulies, Julia M. Huntenburg, Felipe Meneguzzi, 2016, GigaScience.

Information-Theoretic Clustering of Neuroimaging Metrics Related to Cognitive Decline in the Elderly

Paul M. Thompson, Kristina Lerman, Neda Jahanshad, 2015, MCV@MICCAI.

On study design in neuroimaging heritability analyses

Bo Li, Paul M. Thompson, Thomas E. Nichols, 2014, Medical Imaging.

Genetics of Path Lengths in Brain Connectivity Networks: HARDI-Based Maps in 457 Adults

Paul M. Thompson, Arthur W. Toga, Katie L. McMahon, 2012, MBIA.

Disrupted Brain Connectivity in Alzheimer's Disease: Effects of Network Thresholding

Michael Weiner, Paul M. Thompson, Arthur W. Toga, 2013, CDMRI/MMBC@MICCAI.

Diffusion tensor distribution function metrics boost power to detect deficits in Alzheimer's disease

Paul M. Thompson, Alex D. Leow, Clifford R. Jack, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Comparison of template registration methods for multi-site meta-analysis of brain morphometry

Paul M. Thompson, Katie L. McMahon, Greig I. de Zubicaray, 2016, SPIE Medical Imaging.

Understanding scanner upgrade effects on brain integrity & connectivity measures

Paul M. Thompson, Clifford R. Jack, Matt A. Bernstein, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Large-scale classification of major depressive disorder via distributed Lasso

Paul M. Thompson, Qingyang Li, Jieping Ye, 2017, Symposium on Medical Information Processing and Analysis.

Feature selection improves the accuracy of classifying Alzheimer disease using diffusion tensor images

Paul M. Thompson, Clifford R. Jack, Matt A. Bernstein, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

ENIGMA-ODS: a platform for global neuroscience collaborations in the ENIGMA Consortium

Yolanda Gil, Varun Ratnakar, Neda Jahanshad, 2018 .

Ranking diffusion tensor measures of brain aging and Alzheimer’s disease

Michael W. Weiner, Paul M. Thompson, Clifford R. Jack, 2018, Symposium on Medical Information Processing and Analysis.

Changes in anatomical brain connectivity between ages 12 and 30: A HARDI study of 467 adolescents and adults

Paul M. Thompson, Arthur W. Toga, Katie L. McMahon, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Algebraic connectivity of brain networks shows patterns of segregation leading to reduced network robustness in Alzheimer's disease.

Clifford R Jack, Neda Jahanshad, Madelaine Daianu, 2014, Computational diffusion MRI : MICCAI Workshop, Boston, MA, USA, September 2014. CDMRI (Workshop).

Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification

Paul M. Thompson, Dmitry Petrov, Neda Jahanshad, 2017, bioRxiv.

Graph theoretical approaches towards understanding differences in frontoparietal and default mode networks in Autism

Paul M. Thompson, Neda Jahanshad, Brandalyn C. Riedel, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

A Continuous Model of Cortical Connectivity

Paul M. Thompson, Neda Jahanshad, Boris Gutman, 2016, MICCAI.

Workflow Reuse in Practice: A Study of Neuroimaging Pipeline Users

Paul M. Thompson, Arthur W. Toga, Yolanda Gil, 2014, 2014 IEEE 10th International Conference on e-Science.

Diffusion imaging protocol effects on genetic associations

Paul M. Thompson, Arthur W. Toga, Katie L. McMahon, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

The core genetic network underlying sulcal morphometry

Paul M. Thompson, Peter Kochunov, Neda Jahanshad, 2017, Symposium on Medical Information Processing and Analysis.

Using the raw diffusion MRI signal and the von Mises-Fisher distribution for classification of Alzheimer's disease

Paul M. Thompson, Neda Jahanshad, Gautam Prasad, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Alzheimer's disease disrupts rich club organization in brain connectivity networks

Michael Weiner, Paul M. Thompson, Arthur W. Toga, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Homogenizing Estimates of Heritability Among SOLAR-Eclipse, OpenMx, APACE, and FPHI Software Packages in Neuroimaging Data

Xu Chen, Paul M. Thompson, Thomas E. Nichols, 2019, Front. Neuroinform..

3D Grid-Attention Networks for Interpretable Age and Alzheimer's Disease Prediction from Structural MRI.

Paul M. Thompson, Neda Jahanshad, Pradeep Lam, 2020, 2011.09115.

The heritability of the functional connectome is robust to common nonlinear registration methods

Paul M. Thompson, Katie L. McMahon, Greig I. de Zubicaray, 2016, SPIE Medical Imaging.

Product Space Decompositions for Continuous Representations of Brain Connectivity

Paul M. Thompson, Neda Jahanshad, Boris Gutman, 2017, MLMI@MICCAI.

Obesity gene NEGR1 associated with white matter integrity in healthy young adults

Paul M. Thompson, Arthur W. Toga, Katie L. McMahon, 2014, NeuroImage.

Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data

Steen Moeller, Essa Yacoub, Christophe Lenglet, 2015, NeuroImage.

Transcriptomics of cortical gray matter thickness decline during normal aging

Paul M. Thompson, Thomas E. Nichols, L. Elliot Hong, 2013, NeuroImage.

Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model pdf

Dan J. Stein, Paul M. Thompson, Dajiang Zhu, 2017, MICCAI.

Connectivity Network Breakdown Predicts Imminent Volumetric Atrophy in Early Mild Cognitive Impairment

Michael Weiner, Paul M. Thompson, Arthur W. Toga, 2012, MBIA.

White matter microstructural abnormalities in girls with chromosome 22q11.2 deletion syndrome, Fragile X or Turner syndrome as evidenced by diffusion tensor imaging

Paul M. Thompson, Arthur W. Toga, Neda Jahanshad, 2013, NeuroImage.

Heritability estimates on resting state fMRI data using the ENIGMA analysis pipeline

Paul M. Thompson, Thomas E. Nichols, Jelle Veraart, 2017, PSB.

Sex-dependent age trajectories of subcortical brain structures: analysis of large-scale percentile models and shape morphometry

Paul M. Thompson, Christopher R. K. Ching, Neda Jahanshad, 2020, Symposium on Medical Information Processing and Analysis.

Development of brain structural connectivity between ages 12 and 30: A 4-Tesla diffusion imaging study in 439 adolescents and adults

Paul M. Thompson, Arthur W. Toga, Katie L. McMahon, 2013, NeuroImage.

Voxelwise meta-analysis of brain structural associations with genome-wide polygenic risk for Alzheimer’s disease

Paul M. Thompson, Neda Jahanshad, Alyssa H. Zhu, 2018, Symposium on Medical Information Processing and Analysis.

Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: Comparing meta and megaanalytical approaches for data pooling

Arthur W. Toga, Thomas E. Nichols, Joanna M. Wardlaw, 2014, NeuroImage.

A Fast, Accurate Two-Step Linear Mixed Model for Genetic Analysis Applied to Repeat MRI Measurements

Paul M. Thompson, Alyssa H. Zhu, Wiro J. Niessen, 2017 .

Predicting temporal lobe volume on MRI from genotypes using L1-L2 regularized regression

Michael Weiner, Paul M. Thompson, Arthur W. Toga, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Multiple Stages Classification of Alzheimer’s Disease Based on Structural Brain Networks Using Generalized Low Rank Approximations (GLRAM)

Paul M. Thompson, Jieping Ye, Yalin Wang, 2014, MICCAI 2014.

Relative value of diverse brain MRI and blood-based biomarkers for predicting cognitive decline in the elderly

Paul M. Thompson, Xue Hua, Neda Jahanshad, 2016, SPIE Medical Imaging.

Medial demons registration localizes the degree of genetic influence over subcortical shape variability: An N= 1480 meta-analysis

Paul M. Thompson, Yalin Wang, Thomas E. Nichols, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Hierarchical topological network analysis of anatomical human brain connectivity and differences related to sex and kinship

Christophe Lenglet, Paul M. Thompson, Guillermo Sapiro, 2012, NeuroImage.

Combining meta- and mega- analytic approaches for multi-site diffusion imaging based genetic studies: From the ENIGMA-DTI working group

Paul M. Thompson, Arthur W. Toga, Thomas E. Nichols, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

7T multi-shell hybrid diffusion imaging (HYDI) for mapping brain connectivity in mice

Paul M. Thompson, Neda Jahanshad, Gautam Prasad, 2015, Medical Imaging.

Brain network efficiency and topology depend on the fiber tracking method: 11 tractography algorithms compared in 536 subjects

Paul M. Thompson, Arthur W. Toga, Katie L. McMahon, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Corrigendum to “Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA–DTI working group” [NeuroImage 81 (2013) 455–469]

Paul M. Thompson, Arthur W. Toga, Thomas E. Nichols, 2014, NeuroImage.

Structural connectome validation using pairwise classification

Paul M. Thompson, Dmitry Petrov, Neda Jahanshad, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Characterizing Imaging Data

Ricky K. Taira, Neda Jahanshad, Juan Eugenio Iglesias, 2010 .

Utilizing brain measures for large-scale classification of autism applying EPIC

Paul M. Thompson, Neda Jahanshad, Gautam Prasad, 2017, Symposium on Medical Information Processing and Analysis.

Identifying candidate gene effects by restricting search space in a multivariate genetic analysis of white matter microstructure

Paul M. Thompson, Katie L. McMahon, Greig I. de Zubicaray, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Alzheimer’s Disease Classification with Novel Microstructural Metrics from Diffusion-Weighted MRI

Michael W. Weiner, Paul M. Thompson, Clifford R. Jack, 2016 .

Multisite Metaanalysis of Image-Wide Genome-Wide Associations With Morphometry

Paul M. Thompson, Wiro J. Niessen, Katie L. McMahon, 2018 .

Analysis of structural brain connectivity in 6 cases of hemispherectomy

Paul M. Thompson, Neda Jahanshad, Julio Villalon, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Discovery of genes that affect human brain connectivity: A genome-wide analysis of the connectome

Paul M. Thompson, Arthur W. Toga, Katie L. McMahon, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Continuous representations of brain connectivity using spatial point processes

Paul M. Thompson, Neda Jahanshad, Boris Gutman, 2017, Medical Image Anal..

Communication of brain network core connections altered in behavioral variant frontotemporal dementia but possibly preserved in early-onset Alzheimer's disease

Paul M. Thompson, Neda Jahanshad, Madelaine Daianu, 2015, Medical Imaging.

Optimizing Connectivity-Driven Brain Parcellation Using Ensemble Clustering

Paul Thompson, Anvar Kurmukov, Neda Jahanshad, 2020, Brain Connect..

Deep transfer learning of brain shape morphometry predicts Body Mass Index (BMI) in the UK Biobank

Paul M. Thompson, Christopher R. K. Ching, Kai Gao, 2020, Symposium on Medical Information Processing and Analysis.

Heritability of White Matter Fiber Tract Shapes: A HARDI Study of 198 Twins

Paul M. Thompson, Arthur W. Toga, Katie L. McMahon, 2011, MBIA.

Sulcal-based morphometry in Parkinson’s disease: a study of reliability and disease effects

Paul M. Thompson, Peter Kochunov, Neda Jahanshad, 2018, Symposium on Medical Information Processing and Analysis.

A network approach to examining injury severity in pediatric TBI

Paul M. Thompson, Christopher Babbitt, Emily L. Dennis, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Rich Club Analysis of Structural Brain Connectivity at 7 Tesla Versus 3 Tesla

Essa Yacoub, Christophe Lenglet, Paul M. Thompson, 2013, CDMRI/MMBC@MICCAI.

Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions pdf

Paul M. Thompson, Qingyang Li, Jieping Ye, 2016, MICCAI.

Development of the “rich club” in brain connectivity networks from 438 adolescents & adults aged 12 to 30

Paul M. Thompson, Arthur W. Toga, Katie L. McMahon, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Heritability and reliability of automatically segmented human hippocampal formation subregions

Paul M. Thompson, Theo G. M. van Erp, Katie L. McMahon, 2015, NeuroImage.

Small world network measures predict white matter degeneration in patients with early-stage mild cognitive impairment

Michael Weiner, Paul M. Thompson, Arthur W. Toga, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Automatic Generation of Portions of Scientific Papers for Large Multi-Institutional Collaborations Based on Semantic Metadata

Paul M. Thompson, Yolanda Gil, Varun Ratnakar, 2017, SemSci@ISWC.

Heritability of brain network topology in 853 twins and siblings

Paul M. Thompson, Dajiang Zhu, Katie L. McMahon, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification

Paul M. Thompson, Dmitry Petrov, Neda Jahanshad, 2017 .

Support Vector Based Autoregressive Mixed Models of Longitudinal Brain Changes and Corresponding Genetics in Alzheimer's Disease

Paul M. Thompson, Neda Jahanshad, Qifan Yang, 2019, PRIME@MICCAI.

Spectral graph theory and graph energy metrics show evidence for the alzheimer's disease disconnection syndrome in APOE-4 risk gene carriers

Michael Weiner, Paul M. Thompson, Clifford R. Jack, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Altered Structural Brain Connectivity in Healthy Carriers of the Autism Risk Gene, CNTNAP2

Paul M. Thompson, Arthur W. Toga, Katie L. McMahon, 2011, Brain Connect..

Exhaustive Search of the SNP-SNP Interactome Identifies Epistatic Effects on Brain Volume in Two Cohorts

Michael Weiner, Paul M. Thompson, Arthur W. Toga, 2013, MICCAI.

Exploratory factor analysis of brain networks reveals sub-networks related to cognitive performance

Paul M. Thompson, Neda Jahanshad, Julio Villalon, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Multi-Shell Diffusion MRI Measures of Brain Aging: A Preliminary Comparison From ADNI3

Paul M. Thompson, Clifford R. Jack, Matt A. Bernstein, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Atlas-based fiber clustering for multi-subject analysis of high angular resolution diffusion imaging tractography

Christophe Lenglet, Paul M. Thompson, Arthur W. Toga, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Automatic clustering and population analysis of white matter tracts using maximum density paths

Christophe Lenglet, Paul M. Thompson, Arthur W. Toga, 2014, NeuroImage.

3D elastic registration improves HARDI-derived fiber alignment and automated tract clustering

Paul M. Thompson, Arthur W. Toga, Guillermo Sapiro, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Accurate brain age prediction using recurrent slice-based networks

Paul M. Thompson, Neda Jahanshad, Sophia I. Thomopoulos, 2020, bioRxiv.

A comparison of network definitions for detecting sex differences in brain connectivity using Support Vector Machines

Paul M. Thompson, Katie L. McMahon, Greig I. de Zubicaray, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Genetics of Anisotropy Asymmetry: Registration and Sample Size Effects

Paul M. Thompson, Arthur W. Toga, Natasha Lepore, 2009, MICCAI.

Using Geometry of the Set of Symmetric Positive Semidefinite Matrices to Classify Structural Brain Networks

Paul M. Thompson, Neda Jahanshad, Joshua Faskowitz, 2016 .

A Hierarchical Bayesian Model for Multi-Site Diffeomorphic Image Atlases

Paul M. Thompson, P. Thomas Fletcher, Miaomiao Zhang, 2015, MICCAI.

Genetic analysis of cortical sulci in 1,009 adults

Paul M. Thompson, Katie L. McMahon, Greig I. de Zubicaray, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Tracking medication information across medical records

Alex A. T. Bui, Neda Jahanshad, Juan Eugenio Iglesias, 2009, AMIA.

A resting state fMRI analysis pipeline for pooling inference across diverse cohorts: an ENIGMA rs-fMRI protocol

Paul M. Thompson, Vince D. Calhoun, Jelle Veraart, 2018, Brain Imaging and Behavior.

Unifying inference on brain network variations in neurological diseases: The Alzheimer's case

Daniele Durante, David B. Dunson, Paul M. Thompson, 2015, 1510.05391.

Voxelwise gene-wide association study (vGeneWAS): Multivariate gene-based association testing in 731 elderly subjects

Michael Weiner, Andrew J. Saykin, Paul M. Thompson, 2011, NeuroImage.

Population learning of structural connectivity by white matter encoding and decoding

Paul M. Thompson, Dajiang Zhu, Neda Jahanshad, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Brain cortical structural differences between non-central nervous system cancer patients treated with and without chemotherapy compared to non-cancer controls: a cross-sectional pilot MRI study using clinically indicated scans

Paul M. Thompson, Darryl H. Hwang, Neda Jahanshad, 2017, Symposium on Medical Information Processing and Analysis.

Partial least squares modelling for imaging-genetics in Alzheimer's disease: Plausibility and generalization

Paul M. Thompson, Sébastien Ourselin, Neda Jahanshad, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Relation between variants in the neurotrophin receptor gene, NTRK3, and white matter integrity in healthy young adults

Paul M. Thompson, Arthur W. Toga, Ming-Chang Chiang, 2013, NeuroImage.

Information-theoretic characterization of blood panel predictors for brain atrophy and cognitive decline in the elderly

Paul M. Thompson, Xue Hua, Neda Jahanshad, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines

Paul M. Thompson, Peter Kochunov, Thomas E. Nichols, 2014, Journal of medical imaging.

Multi-Site Meta-Analysis of Morphometry

Paul M. Thompson, Wiro J. Niessen, Katie L. McMahon, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Simultaneous Matrix Diagonalization for Structural Brain Networks Classification

Paul M. Thompson, Neda Jahanshad, Boris Gutman, 2017, COMPLEX NETWORKS.

Genetic analysis of structural brain connectivity using DICCCOL models of diffusion MRI in 522 twins

Paul M. Thompson, Dajiang Zhu, Katie L. McMahon, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Accurate brain age prediction using recurrent slice-based networks

Paul M. Thompson, Neda Jahanshad, Sophia I. Thomopoulos, 2020, Symposium on Medical Information Processing and Analysis.

How does angular resolution affect diffusion imaging measures?

Paul M. Thompson, Arthur W. Toga, Alex D. Leow, 2010, NeuroImage.

Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression pdf

Paul M. Thompson, Jie Zhang, Qingyang Li, 2017, ArXiv.

Approximating principal genetic components of subcortical shape

Paul M. Thompson, Katie L. McMahon, Greig I. de Zubicaray, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Predicting brain network changes in Alzheimer's disease with link prediction algorithms.

Mohammad Khansari, Ali Masoudi-Nejad, Neda Jahanshad, 2017, Molecular bioSystems.

A Deep Transfer Learning Framework for 3D Brain Imaging Based on Optimal Mass Transport

Paul M. Thompson, Christopher R. K. Ching, Neda Jahanshad, 2020, MLCN/RNO-AI@MICCAI.

A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex

Paul M. Thompson, Neda Jahanshad, Boris Gutman, 2017, IPMI.

Breakdown of Brain Connectivity Between Normal Aging and Alzheimer's Disease: A Structural k-Core Network Analysis

Michael Weiner, Paul M. Thompson, Arthur W. Toga, 2013, Brain Connect..

An Empirical Study of Continuous Connectivity Degree Sequence Equivalents pdf

Paul M. Thompson, Neda Jahanshad, Boris Gutman, 2016, ArXiv.

journal homepage: www.elsevier.com/locate/ynimg Genetic influences on brain asymmetry: A DTI study of 374 twins and siblings

Paul M. Thompson, Arthur W. Toga, Marina Barysheva, 2022 .

A Hough transform global probabilistic approach to multiple-subject diffusion MRI tractography

Essa Yacoub, Christophe Lenglet, Paul M. Thompson, 2011, Medical Image Anal..

Power Estimates for Voxel-Based Genetic Association Studies Using Diffusion Imaging

Michael Weiner, Paul M. Thompson, Arthur W. Toga, 2013, CDMRI/MMBC@MICCAI.

Test-Retest Reliability of Graph Theory Measures of Structural Brain Connectivity

Paul M. Thompson, Arthur W. Toga, Katie L. McMahon, 2012, MICCAI.

Detecting genetic risk factors for Alzheimer's disease in whole genome sequence data via Lasso screening

Paul M. Thompson, Li Liu, Jieping Ye, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Classifying Phenotypes Based on the Community Structure of Human Brain Networks

Paul M. Thompson, Anvar Kurmukov, Yulia Dodonova, 2017, GRAIL/MFCA/MICGen@MICCAI.

Diffusion tensor imaging in seven minutes: Determining trade-offs between spatial and directional resolution

Paul M. Thompson, Arthur W. Toga, Clifford R. Jack, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Boosting Power to Detect Genetic Associations in Imaging Using Multi-locus, Genome-wide Scans and Ridge Regression

Michael Weiner, Paul M. Thompson, Arthur W. Toga, 2022 .

Genetics of the connectome

Paul M. Thompson, Thomas E. Nichols, David C. Glahn, 2013, NeuroImage.

Principal components regression: Multivariate, gene-based tests in imaging genomics

Michael Weiner, Paul M. Thompson, Arthur W. Toga, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3

Paul M. Thompson, Clifford R. Jack, Matt A. Bernstein, 2018, bioRxiv.

Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA–DTI working group

Paul M. Thompson, Arthur W. Toga, Thomas E. Nichols, 2013, NeuroImage.

Exogenous sex hormone effects on brain microstructure in women: a diffusion MRI study in the UK Biobank

Paul M. Thompson, Julio E. Villalon-Reina, Neda Jahanshad, 2020, Symposium on Medical Information Processing and Analysis.

Advanced diffusion-weighted MRI metrics detect sex differences in aging among 15,000 adults in the UK Biobank

Paul M. Thompson, Julio E. Villalon-Reina, Neda Jahanshad, 2020, Symposium on Medical Information Processing and Analysis.

Multimodal Brain Image Analysis

Paul M. Thompson, Arthur W. Toga, Katie L. McMahon, 2012, Lecture Notes in Computer Science.

Associations Between Maternal Depression and Infant Fronto-Limbic Connectivity

Paul M. Thompson, Emily L. Dennis, Neda Jahanshad, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Sex differences in the human connectome: 4-Tesla high angular resolution diffusion imaging (HARDI) tractography in 234 young adult twins

Christophe Lenglet, Paul M. Thompson, Arthur W. Toga, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Registering Cortical Surfaces Based on Whole-Brain Structural Connectivity and Continuous Connectivity Analysis

Paul M. Thompson, Neda Jahanshad, Boris Gutman, 2014, MICCAI.

Towards human-guided machine learning

Yolanda Gil, Daniel Garijo, Neda Jahanshad, 2019, IUI.

Using Multiple Diffusion MRI Measures to Predict Alzheimer’s Disease with a TV-L1 Prior

Michael W. Weiner, Paul M. Thompson, Julio E. Villalon-Reina, 2016, MICCAI 2016.

Susceptibility of brain atrophy to TRIB3 in Alzheimer’s disease, evidence from functional prioritization in imaging genetics

Sebastien Ourselin, Neda Jahanshad, Daniel C Alexander, 2018, Proceedings of the National Academy of Sciences.

Longitudinal characterization of brain atrophy of a Huntington's disease mouse model by automated morphological analyses of magnetic resonance images

Michael I. Miller, Qi Peng, Qing Li, 2010, NeuroImage.

Facilitating big data meta-analyses for clinical neuroimaging through ENIGMA wrapper scripts

Paul M. Thompson, Sook-Lei Liew, Neda Jahanshad, 2016 .

Reducing structural variation to determine the genetics of white matter integrity across hemispheres - A DTI study of 100 twins

Christophe Lenglet, Paul M. Thompson, Arthur W. Toga, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Disrupted Brain Networks in the Aging HIV+ Population

Paul M. Thompson, Neda Jahanshad, Talia M. Nir, 2012, Brain Connect..

An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group

Dan J. Stein, Paul M. Thompson, Patricia Gruner, 2019, Front. Neuroinform..

Magnetic Resonance Field Strength Effects on Diffusion Measures and Brain Connectivity Networks

Essa Yacoub, Christophe Lenglet, Paul M. Thompson, 2013, Brain Connect..

Style Transfer Using Generative Adversarial Networks for Multi-site MRI Harmonization

Alyssa H. Zhu, Neda Jahanshad, Yaqiong Chai, 2021, MICCAI.

Paul M. Thompson, Alyssa H. Zhu, Neda Jahanshad, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Diffusion MRI metrics and their relation to dementia severity: effects of harmonization approaches

Julio E. Villalon-Reina, Neda Jahanshad, Talia M. Nir, 2021, Symposium on Medical Information Processing and Analysis.

A gyrification analysis approach based on Laplace Beltrami eigenfunction level sets

Gary F. Egan, Neda Jahanshad, Leigh A. Johnston, 2021, NeuroImage.

Region Specific Automatic Quality Assurance For MRI-Derived Cortical Segmentations

Paul M. Thompson, Alyssa H. Zhu, Neda Jahanshad, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Mega-Analysis of Gray Matter Volume in Substance Dependence: General and Substance-Specific Regional Effects.

Kent Hutchison, Godfrey Pearlson, Alain Dagher, 2019, The American journal of psychiatry.

Boosting brain connectome classification accuracy in Alzheimer's disease using higher-order singular value decomposition

Paul M. Thompson, Jiayu Zhou, Jieping Ye, 2015, Front. Neurosci..

Genetic architecture of subcortical brain structures in 38,851 individuals

Benjamin S Aribisala, Tien Yin Wong, Wiro J Niessen, 2019, Nature Genetics.

Neuroimaging, nutrition, and iron-related genes

Paul M. Thompson, Neda Jahanshad, Priya Rajagopalan, 2013, Cellular and Molecular Life Sciences.

White matter microstructural alterations across four major psychiatric disorders: mega-analysis study in 2937 individuals

Paul M. Thompson, Osamu Abe, Theo G. M. van Erp, 2019, Molecular Psychiatry.

Smaller Hippocampal Volume in Posttraumatic Stress Disorder: A Multisite ENIGMA-PGC Study: Subcortical Volumetry Results From Posttraumatic Stress Disorder Consortia

Paul M. Thompson, David H. Salat, Emily L. Dennis, 2018, Biological Psychiatry.

The genetic architecture of the human cerebral cortex

Anders M. Dale, Robert C. Green, Shannon L. Risacher, 2020, Science.

Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

Olaf Steinsträter, Tilo Kircher, Axel Krug, 2019, bioRxiv.

Subcortical surface morphometry in substance dependence: An ENIGMA addiction working group study

Kent Hutchison, Godfrey Pearlson, Alain Dagher, 2019, Addiction biology.

An overview of the first 5 years of the ENIGMA obsessive–compulsive disorder working group: The power of worldwide collaboration

Susanne Walitza, Patricia Gruner, Neda Jahanshad, 2020, Human brain mapping.

Exhaustive search of the SNP-SNP interactome identifies replicated epistatic effects on brain volume

Michael W. Weiner, Paul M. Thompson, Arthur W. Toga, 2014 .

Functional network connectivity impairments and core cognitive deficits in schizophrenia

Peter Kochunov, Xiaoming Du, Hemalatha Sampath, 2019, Human brain mapping.

Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia

Vincent Frouin, Norman Delanty, Katrin Amunts, 2018, Molecular Psychiatry.

Distinct Subcortical Volume Alterations in Pediatric and Adult OCD: A Worldwide Meta- and Mega-Analysis.

Silvia Brem, Susanne Walitza, Patricia Gruner, 2017, The American journal of psychiatry.

Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium

Adrian Preda, Peter Kochunov, Elliot Hong, 2018, Biological Psychiatry.

Novel genetic loci associated with hippocampal volume

Benjamin S Aribisala, Wiro J Niessen, Peter Kochunov, 2017, Nature Communications.

Mapping white matter integrity in elderly people with HIV

Neda Jahanshad, Edgar Busovaca, Krista Nicolas, 2014, Human brain mapping.

Serum cholesterol and variant in cholesterol-related gene CETP predict white matter microstructure

Michael W. Weiner, Paul M. Thompson, Arthur W. Toga, 2014, Neurobiology of Aging.

Concordance of genetic variation that increases risk for anxiety disorders and posttraumatic stress disorders and that influences their underlying neurocircuitry.

Israel Liberzon, Neda Jahanshad, Shareefa Dalvie, 2019, Journal of affective disorders.

Predicting White Matter Integrity from Multiple Common Genetic Variants

Ming-Chang Chiang, Arthur W Toga, Neda Jahanshad, 2012, Neuropsychopharmacology.

Novel genetic loci underlying human intracranial volume identified through genome-wide association

Benjamin S Aribisala, Wiro J Niessen, Peter Kochunov, 2016, Nature Neuroscience.

The genetic architecture of the human cerebral cortex

Anders M. Dale, Robert C. Green, Shannon L. Risacher, 2020, Science.

Imaging Genomics and ENIGMA

Paul M. Thompson, Neda Jahanshad, Derrek P. Hibar, 2016 .

Cortical Abnormalities Associated With Pediatric and Adult Obsessive-Compulsive Disorder: Findings From the ENIGMA Obsessive-Compulsive Disorder Working Group.

Silvia Brem, Susanne Walitza, Patricia Gruner, 2017, The American journal of psychiatry.

Noninvasive Imaging of Angiogenesis With a 99mTc-Labeled Peptide Targeted at &agr;v&bgr;3 Integrin After Murine Hindlimb Ischemia

Albert J. Sinusas, Neda Jahanshad, Lawrence W. Dobrucki, 2005 .

Comparison of heritability estimates on resting state fMRI connectivity phenotypes using the ENIGMA analysis pipeline

Peter Kochunov, Thomas E. Nichols, Jelle Veraart, 2018, Human brain mapping.

Genome-wide interaction analysis reveals replicated epistatic effects on brain structure

Michael W. Weiner, Paul M. Thompson, Arthur W. Toga, 2015, Neurobiology of Aging.

Genetics of the Connectome and the ENIGMA Project

Paul M. Thompson, Neda Jahanshad, Gautam Prasad, 2016 .

Genome‐wide association analysis links multiple psychiatric liability genes to oscillatory brain activity

Jian Zhang, Neda Jahanshad, Sarah E Medland, 2017, bioRxiv.

White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA Epilepsy study

Neda Bernasconi, Boris Bernhardt, Hamid Soltanian-Zadeh, 2019, bioRxiv.

Rich club network analysis shows distinct patterns of disruption in frontotemporal dementia and Alzheimer's disease.

Neda Jahanshad, Madelaine Daianu, Paul M Thompson, 2014, Mathematics and visualization.

Neuroimaging genomics in psychiatry—a translational approach

Paul M. Thompson, Neda Jahanshad, Shareefa Dalvie, 2017, Genome Medicine.

Alzheimer's Disease Risk Gene, GAB2, is Associated with Regional Brain Volume Differences in 755 Young Healthy Twins

Arthur W Toga, Neda Jahanshad, Sarah E Medland, 2012, Twin Research and Human Genetics.

Reliability of structural connectivity examined with four different diffusion reconstruction methods at two different spatial and angular resolutions

Paul M. Thompson, Katie L. McMahon, Julio E. Villalon-Reina, 2016 .

How a common variant in the growth factor receptor gene, NTRK1, affects white matter

Paul M. Thompson, Arthur W. Toga, Katie L. McMahon, 2012, Bioarchitecture.

Genome-wide association identifies genetic variants associated with lentiform nucleus volume in N = 1345 young and elderly subjects

Michael W. Weiner, Andrew J. Saykin, Paul M. Thompson, 2012, Brain Imaging and Behavior.

Genetic Determinants of Cortical Structure (Thickness, Surface Area and Volumes) among Disease Free Adults in the CHARGE Consortium

Anders M. Dale, Robert C. Green, Shannon L. Risacher, 2018, bioRxiv.

Heritability of the shape of subcortical brain structures in the general population

Wiro J Niessen, Neda Jahanshad, Nicholas G Martin, 2016, Nature Communications.

Association of White Matter With Core Cognitive Deficits in Patients With Schizophrenia

Paul M. Thompson, Peter Kochunov, L. Elliot Hong, 2017, JAMA psychiatry.

Cortical Thickness Trajectories across the Lifespan: Data from 17,075 healthy individuals aged 3-90 years

Yang Wang, Patricia Gruner, Won Hee Lee, 2020, bioRxiv.

Subcortical Volume Trajectories across the Lifespan: Data from 18,605 healthy individuals aged 3-90 years

Yang Wang, Patricia Gruner, Won Hee Lee, 2020, bioRxiv.

Whole-genome analyses of whole-brain data: working within an expanded search space

Neda Jahanshad, Sarah E Medland, Paul M Thompson, 2014, Nature Neuroscience.

Cortical and subcortical brain morphometry differences between patients with autism spectrum disorders (ASD) and healthy individuals across the lifespan: results from the ENIGMA-ASD working group

Jennifer Fedor, Beatriz Luna, Joost Janssen, 2017 .

White matter microstructural abnormalities in bipolar disorder: A whole brain diffusion tensor imaging study☆

Paul M. Thompson, Marina Barysheva, Neda Jahanshad, 2013, NeuroImage: Clinical.

Neuroimaging and genetic risk for Alzheimer’s disease and addiction-related degenerative brain disorders

Paul M. Thompson, Neda Jahanshad, Madelaine Daianu, 2013, Brain Imaging and Behavior.

Altered Cortical Brain Structure and Increased Risk for Disease Seen Decades After Perinatal Exposure to Maternal Smoking: A Study of 9000 Adults in the UK Biobank.

Neda Jahanshad, Faisal Rashid, Sarah E Medland, 2019, Cerebral cortex.

A genome-wide association study identifies genetic loci associated with specific lobar brain volumes

Tien Yin Wong, Wiro J Niessen, Charles DeCarli, 2019, Communications Biology.

Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals

Paul M. Thompson, Christopher R. K. Ching, Neda Jahanshad, 2019, Neuropsychopharmacology.

Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study

Neda Bernasconi, Peter Kochunov, Norman Delanty, 2018, Brain : a journal of neurology.

A single nucleotide polymorphism associated with reduced alcohol intake in the RASGRF2 gene predicts larger cortical volumes but faster longitudinal ventricular expansion in the elderly

Michael W. Weiner, Paul M. Thompson, Clifford R. Jack, 2013, Front. Aging Neurosci..

Discovery and Replication of Gene Influences on Brain Structure Using LASSO Regression

Michael W. Weiner, Paul M. Thompson, Arthur W. Toga, 2012, Front. Neurosci..

Heritability of complex white matter diffusion traits assessed in a population isolate

Peter Kochunov, Xiaoming Du, Florian Muellerklein, 2016, Human brain mapping.

Do Candidate Genes Affect the Brain’s White Matter Microstructure? Large-Scale Evaluation of 6,165 Diffusion MRI Scans

Peter Kochunov, Thomas E. Nichols, Neda Jahanshad, 2017, bioRxiv.

A commonly carried genetic variant in the delta opioid receptor gene, OPRD1, is associated with smaller regional brain volumes: Replication in elderly and young populations

Marina Barysheva, Neda Jahanshad, Omid Kohannim, 2014, Human brain mapping.

Genetic Architecture of Subcortical Brain Structures in Over 40,000 Individuals Worldwide

Michael W. Weiner, Anders M. Dale, Robert C. Green, 2017, bioRxiv.

Significant concordance of genetic variation that increases both the risk for obsessive-compulsive disorder and the volumes of the nucleus accumbens and putamen.

Neda Jahanshad, Shareefa Dalvie, Sarah E Medland, 2018, The British journal of psychiatry : the journal of mental science.

Rich club analysis in the Alzheimer's disease connectome reveals a relatively undisturbed structural core network

Clifford R Jack, Neda Jahanshad, Madelaine Daianu, 2015, Human brain mapping.

Concordance of genetic variation that increases risk for Tourette Syndrome and that influences its underlying neurocircuitry

Neda Jahanshad, Emile R Chimusa, Shareefa Dalvie, 2018, bioRxiv.

Genetic influences on individual differences in longitudinal changes in global and subcortical brain volumes: Results of the ENIGMA plasticity working group

Anbupalam Thalamuthu, Xue Hua, Neda Jahanshad, 2017, Human brain mapping.

Disrupted rich club network in behavioral variant frontotemporal dementia and early‐onset Alzheimer's disease

Neda Jahanshad, Madelaine Daianu, Adam Mezher, 2015, Human brain mapping.

Altered white matter microstructure in 22q11.2 deletion syndrome: a multisite diffusion tensor imaging study

Paul M. Thompson, Christopher R. K. Ching, Neda Jahanshad, 2019, Molecular Psychiatry.