Thomas E. Nichols

NeurosciencePsychology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 1%percentile

7.5Author DataRank

Indexed papers

7in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 7 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Meaningful associations in the adolescent brain cognitive development study

NeuroImage(2021)10.1016/j.neuroimage.2021.118262

Top 5%

4.2DataRank

Top 5%236 citations

Daniel A. Lopez, Ashley L. Watts, Steven G. Heeringa, Chase Reuter, Hauke Bartsch +19 more

Papers

Driven by 74 papers — median percentile 75. Top paper: “Meaningful associations in the adolescent brain cognitive development study”.

Meaningful associations in the adolescent brain cognitive development study

NeuroImage(2021)10.1016/j.neuroimage.2021.118262

Top 5%

4.2DataRank

Top 5%236 citations

Daniel A. Lopez, Ashley L. Watts, Steven G. Heeringa, Chase Reuter, Hauke Bartsch +19 more

Adolescent Brain Cognitive Development (ABCD) Community MRI Collection and Utilities

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.07.09.451638

Top 15%

1.4DataRank

Top 15%119 citations

Greg Conan, Scott Marek, Brenden Tervo‐Clemmens, Michaela Cordova, Olivia Doyle +35 more

Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data

NeuroImage(2006)10.1016/j.neuroimage.2006.02.024

N/A

1.3DataRank · unranked

6591 citations

Mark Jenkinson, Heidi Johansen-Berg, Daniel Rueckert, Thomas E. Nichols, Clare E. Mackay +8 more

Nonparametric permutation tests for functional neuroimaging: A primer with examples

Human Brain Mapping(2001)10.1002/hbm.1058

N/A

1.3DataRank · unranked

6429 citations

Andrew P. Holmes, Thomas E. Nichols

Shared and Anxiety-Specific Pediatric Psychopathology Dimensions Manifest Distributed Neural Correlates

Biological Psychiatry(2020)10.1016/j.biopsych.2020.10.018

N/A

1.1DataRank · unranked

42 citations

Rany Abend, Katharina Kircanski, Michal Clayton, Caitlin Stavish, Brenda E. Benson +8 more

Developmental maturation of inhibitory control circuitry in a high-risk sample: A longitudinal fMRI study

Developmental Cognitive Neuroscience(2020)10.1016/j.dcn.2020.100781

Top 22%

0.899DataRank

Top 22%26 citations

Jillian E. Hardee, Meghan E. Martz, Robert A. Zucker, Thomas E. Nichols, Mary M. Heitzeg +1 more

Longer scans boost prediction and cut costs in brain-wide association studies

Nature(2025)10.1038/s41586-025-09250-1

N/A

0.830DataRank · unranked

53 citations

Csaba Orbán, Shaoshi Zhang, Thomas E. Nichols, Trevor Wei Kiat Tan, Ru Kong +25 more

Leveraging the adolescent brain cognitive development study to improve behavioral prediction from neuroimaging in smaller replication samples

Cerebral Cortex(2024)10.1093/cercor/bhae223

Top 25%

0.802DataRank

Top 25%26 citations

Timothy T. Brown, Weiqi Zhao, Donald J. Hagler, Pravesh Parekh, Hugh Garavan +4 more

Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product

medRxiv(2021)10.1101/2021.09.18.21263763

Top 65%

0.208DataRank

Top 65%3 citations

Yizhou Ma, Kathryn S. Hatch, Lianne Schmaal, Neda Jahanshad, Paul M. Thompson +11 more

Towards Reproducible Brain-Wide Association Studies

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.08.21.257758

N/A

0DataRank · unranked

216 citations

Brenden Tervo‐Clemmens, Finnegan J. Calabro, David F. Montez, Benjamin P. Kay, Alexander S. Hatoum +32 more

Pitfalls in brain age analyses

Human Brain Mapping(2021)10.1002/hbm.25533

N/A

0DataRank · unranked

114 citations

Andrew A. Chen, Rabie Ramadan, Trang T. Le, Kosha Ruparel, Tyler M. Moore +7 more

Isolating the sources of pipeline‐variability in group‐level task‐fMRI results

Human Brain Mapping(2021)10.1002/hbm.25713

N/A

0DataRank · unranked

38 citations

Thomas E. Nichols, Camille Maumet, Alexander Bowring

Comparison of regional brain deficit patterns in common psychiatric and neurological disorders as revealed by big data

NeuroImage Clinical(2021)10.1016/j.nicl.2021.102574

N/A

0DataRank · unranked

16 citations

Meghann C. Ryan, Qifan Yang, Kathryn S. Hatch, Alyssa H. Zhu, Sophia I. Thomopoulos +13 more

Comparing empirical kinship derived heritability for imaging genetics traits in the UK biobank and human connectome project

NeuroImage(2021)10.1016/j.neuroimage.2021.118700

N/A

0DataRank · unranked

8 citations

Brian Donohue, Kathryn S. Hatch, Shuo Chen, Tianzhou Ma, Yizhou Ma +12 more

White Matter Integrity and Nicotine Dependence: Evaluating Vertical and Horizontal Pleiotropy

Frontiers in Neuroscience(2021)10.3389/fnins.2021.738037

N/A

0DataRank · unranked

11 citations

Chen Mo, Song Liu, Kathryn S. Hatch, Si Gao, Yizhou Ma +11 more

Discussion on “distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo

Biometrics(2021)10.1111/biom.13591

N/A

0DataRank · unranked

4 citations

Thomas E. Nichols, Kan Keeratimahat

FEMA: Fast and efficient mixed-effects algorithm for large sample whole-brain imaging data

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.10.27.466202

N/A

0DataRank · unranked

11 citations

Chun Chieh Fan, Oleksandr Frei, Clare E. Palmer, Diana M. Smith, Carolina Makowski +12 more

Alcohol consumption and telomere length: observational and Mendelian randomization approaches

medRxiv(2021)10.1101/2021.09.17.21263720

N/A

0DataRank · unranked

1 citations

Bernd Taschler, Klaus P. Ebmeier, Steve Smith, Hang Zhou, Daniel F. Levey +6 more

Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product

PubMed(2021)10.1142/9789811250477_0013

Top 100%

0DataRank

Top 100%0 citations

Yizhou Ma, Kathryn S. Hatch, Lianne Schmaal, Neda Jahanshad, Paul M. Thompson +11 more

Reproducible brain-wide association studies require thousands of individuals

Nature(2022)10.1038/s41586-022-04492-9

N/A

0DataRank · unranked

2052 citations

Brenden Tervo‐Clemmens, Finnegan J. Calabro, David F. Montez, Benjamin P. Kay, Alexander S. Hatoum +40 more

SARS-CoV-2 is associated with changes in brain structure in UK Biobank

Nature(2022)10.1038/s41586-022-04569-5

N/A

0DataRank · unranked

1559 citations

Soojin Lee, Fidel Alfaro‐Almagro, Christoph Arthofer, Chaoyue Wang, Paul J. McCarthy +15 more

How patients with multiple sclerosis acquire disability

Brain(2022)10.1093/brain/awac016

N/A

0DataRank · unranked

537 citations

Dieter A. Häring, Habib Ganjgahi, Alex Ocampo, Farhad Hatami, Jelena Čuklina +9 more

Alcohol consumption and telomere length: Mendelian randomization clarifies alcohol’s effects

Molecular Psychiatry(2022)10.1038/s41380-022-01690-9

N/A

0DataRank · unranked

100 citations

Bernd Taschler, Klaus P. Ebmeier, Stephen M. Smith, Hang Zhou, Daniel F. Levey +6 more

Associations between moderate alcohol consumption, brain iron, and cognition in UK Biobank participants: Observational and mendelian randomization analyses

PLoS Medicine(2022)10.1371/journal.pmed.1004039

N/A

0DataRank · unranked

81 citations

Chaoyue Wang, Klaus P. Ebmeier, Stephen Burgess, Steven Bell, Daniel F. Levey +11 more

Alcohol consumption and MRI markers of brain structure and function: Cohort study of 25,378 UK Biobank participants

NeuroImage Clinical(2022)10.1016/j.nicl.2022.103066

N/A

0DataRank · unranked

66 citations

Klaus P. Ebmeier, Thomas Maullin-Sapey, Thomas E. Nichols, Anya Topiwala

The additive impact of cardio‐metabolic disorders and psychiatric illnesses on accelerated brain aging

Human Brain Mapping(2022)10.1002/hbm.25769

N/A

0DataRank · unranked

22 citations

L. Elliot Hong, Kathryn S. Hatch, Si Gao, Shuo Chen, Krystl Haerian +12 more

Association between brain similarity to severe mental illnesses and comorbid cerebral, physical, and cognitive impairments

NeuroImage(2022)10.1016/j.neuroimage.2022.119786

N/A

0DataRank · unranked

8 citations

Mark D. Kvarta, Bhim M. Adhikari, Joshua Chiappelli, Xiaoming Du, Andrew van der Vaart +11 more

Cerebral blood flow and cardiovascular risk effects on resting brain regional homogeneity

NeuroImage(2022)10.1016/j.neuroimage.2022.119555

N/A

0DataRank · unranked

15 citations

L. Elliot Hong, Zhiwei Zhao, Danny J.J. Wang, Paul M. Thompson, Neda Jahanshad +20 more

Brain‐wide versus genome‐wide vulnerability biomarkers for severe mental illnesses

Human Brain Mapping(2022)10.1002/hbm.26056

N/A

0DataRank · unranked

13 citations

Yizhou Ma, Kathryn S. Hatch, Si Gao, Neda Jahanshad, Paul M. Thompson +11 more

BLMM: Parallelised computing for big linear mixed models

NeuroImage(2022)10.1016/j.neuroimage.2022.119729

N/A

0DataRank · unranked

8 citations

Thomas E. Nichols, Thomas Maullin-Sapey

Structural Brain Correlates of Childhood Inhibited Temperament: An ENIGMA-Anxiety Mega-analysis

Journal of the American Academy of Child & Adolescent Psychiatry(2022)10.1016/j.jaac.2022.04.023

N/A

0DataRank · unranked

10 citations

Rachel Bernstein, Brenda E. Benson, Kristin A. Buss, Kelley E. Gunther, Koraly Pérez‐Edgar +48 more

Neuroscience Needs Network Science

Journal of Neuroscience(2023)10.1523/jneurosci.1014-23.2023

N/A

0DataRank · unranked

94 citations

Ginestra Bianconi, Edward T. Bullmore, Mark Burgess, SueYeon Chung, Tina Eliassi‐Rad +15 more

Telomere length and brain imaging phenotypes in UK Biobank

PLoS ONE(2023)10.1371/journal.pone.0282363

N/A

0DataRank · unranked

36 citations

Thomas E. Nichols, Logan Z. J. Williams, Emma C. Robinson, Fidel Alfaro‐Almagro, Bernd Taschler +7 more

Association of gout with brain reserve and vulnerability to neurodegenerative disease

Nature Communications(2023)10.1038/s41467-023-38602-6

N/A

0DataRank · unranked

24 citations

Kulveer Mankia, Steven Bell, Alastair J.S. Webb, Klaus P. Ebmeier, Isobel Howard +7 more

Cardiovascular and metabolic health is associated with functional brain connectivity in middle-aged and older adults: Results from the Human Connectome Project-Aging study

NeuroImage(2023)10.1016/j.neuroimage.2023.120192

N/A

0DataRank · unranked

10 citations

Matthew F. Glasser, Thomas E. Nichols, David C. Van Essen, Meher R. Juttukonda, Nadine A. Schwab +10 more

Spatial confidence regions for combinations of excursion sets in image analysis

Journal of the Royal Statistical Society Series B (Statistical Methodology)(2023)10.1093/jrsssb/qkad104

N/A

0DataRank · unranked

3 citations

Armin Schwartzman, Thomas E. Nichols, Thomas Maullin-Sapey

Bayesian Lesion Estimation with a Structured Spike-and-Slab Prior

Journal of the American Statistical Association(2023)10.1080/01621459.2023.2278201

N/A

0DataRank · unranked

3 citations

Thomas E. Nichols, Chris Holmes, Habib Ganjgahi, Anna Menacher

Cluster extent inference revisited: quantification and localisation of brain activity

Journal of the Royal Statistical Society Series B (Statistical Methodology)(2023)10.1093/jrsssb/qkad067

N/A

0DataRank · unranked

6 citations

Paweł Górecki, Ramin Monajemi, Xu Chen, Thomas E. Nichols, Wouter D. Weeda +1 more

Reciprocal relationships between stress and depressive symptoms: the essential role of the nucleus accumbens

Psychological Medicine(2023)10.1017/s0033291723002866

N/A

0DataRank · unranked

6 citations

Peter Kochunov, Mark D. Kvarta, Tara A. LeGates, Bhim M. Adhikari, Joshua Chiappelli +10 more

Brain deficit patterns of metabolic illnesses overlap with those for major depressive disorder: A new metric of brain metabolic disease

Human Brain Mapping(2023)10.1002/hbm.26235

N/A

0DataRank · unranked

4 citations

Si Gao, Yizhou Ma, Alessandro Russo, Neda Jahanshad, Paul M. Thompson +10 more

Leveraging the Adolescent Brain Cognitive Development Study to improve behavioral prediction from neuroimaging in smaller replication samples

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.06.16.545340

N/A

0DataRank · unranked

14 citations

Timothy T. Brown, Weiqi Zhao, Donald J. Hagler, Pravesh Parekh, Hugh Garavan +4 more

Neuroscience needs Network Science

arXiv (Cornell University)(2023)10.48550/arxiv.2305.06160

N/A

0DataRank · unranked

7 citations

Ginestra Bianconi, Edward T. Bullmore, Mark Burgess, SueYeon Chung, Tina Eliassi‐Rad +15 more

Robust FWER control in Neuroimaging using Random Field Theory: Riding the SuRF to Continuous Land Part 2

arXiv (Cornell University)(2023)10.48550/arxiv.2312.10849

N/A

0DataRank · unranked

2 citations

Armin Schwartzman, Thomas E. Nichols, Fabian J. E. Telschow, Samuel Davenport

Decentralized Mixed Effects Modeling in COINSTAC

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.12.540598

N/A

0DataRank · unranked

0 citations

Rajikha Raja, Harshvardhan Gazula, Javier Romero, Sandeep Panta, Thomas Maullin-Sapey +3 more

Neuroimaging Meta Regression for Coordinate Based Meta Analysis Data with a Spatial Model

arXiv (Cornell University)(2023)10.48550/arxiv.2305.10360

N/A

0DataRank · unranked

0 citations

Rosario Pintos Lobo, Michael C. Riedel, Katherine L. Bottenhorn, Angela R. Laird, Thomas E. Nichols +1 more

Partitioning variance in cortical morphometry into genetic, environmental, and subject-specific components

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.07.17.549390

N/A

0DataRank · unranked

0 citations

Pravesh Parekh, Joseph P. Kennedy, Robert Loughnan, Oleksandr Frei, Thomas E. Nichols +4 more

The past, present, and future of the brain imaging data structure (BIDS)

Imaging Neuroscience(2024)10.1162/imag_a_00103

N/A

0DataRank · unranked

54 citations

Christopher J. Markiewicz, Stefan Appelhoff, Yoni K. Ashar, Tibor Auer, Sylvain Baillet +95 more

Two common and distinct forms of variation in human functional brain networks

Nature Neuroscience(2024)10.1038/s41593-024-01618-2

N/A

0DataRank · unranked

53 citations

Benjamin A. Seitzman, Babatunde Adeyemo, Ashley N. Nielsen, Alexander S. Hatoum, Derek M. Smith +5 more

NHS Health Check attendance is associated with reduced multiorgan disease risk: a matched cohort study in the UK Biobank

BMC Medicine(2024)10.1186/s12916-023-03187-w

N/A

0DataRank · unranked

33 citations

Zahra Raisi‐Estabragh, Liliána Szabó, John Robson, Betty Raman, Anya Topiwala +6 more

Partitioning variance in cortical morphometry into genetic, environmental, and subject-specific components

Cerebral Cortex(2024)10.1093/cercor/bhae234

N/A

0DataRank · unranked

3 citations

Pravesh Parekh, Joseph P. Kennedy, Robert Loughnan, Oleksandr Frei, Thomas E. Nichols +4 more

BNPower: a power calculation tool for data-driven network analysis for whole-brain connectome data

Imaging Neuroscience(2024)10.1162/imag_a_00099

N/A

0DataRank · unranked

4 citations

Thomas E. Nichols, Hwiyoung Lee, Yifan Yang, Zhenyao Ye, Yezhi Pan +4 more

Brain-wide functional connectome analysis of 40,000 individuals reveals brain networks that show aging effects in older adults

Imaging Neuroscience(2024)10.1162/imag_a_00394

N/A

0DataRank · unranked

2 citations

Chuan Bi, Peter Kochunov, Michelle Shardell, J. Carson Smith, Rozalina G. McCoy +16 more

Decentralized Mixed Effects Modeling in COINSTAC

Neuroinformatics(2024)10.1007/s12021-024-09657-7

N/A

0DataRank · unranked

2 citations

Rajikha Raja, Harshvardhan Gazula, Javier Romero, Sandeep Panta, Thomas Maullin-Sapey +3 more

Neuroimaging meta regression for coordinate based meta analysis data with a spatial model

Biostatistics(2024)10.1093/biostatistics/kxae024

N/A

0DataRank · unranked

2 citations

Rosario Pintos Lobo, Michael C. Riedel, Katherine L. Bottenhorn, Angela R. Laird, Thomas E. Nichols +1 more

Longer scans boost prediction and cut costs in brain-wide association studies

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.02.16.580448

N/A

0DataRank · unranked

30 citations

Csaba Orbán, Shaoshi Zhang, Thomas E. Nichols, Trevor Wei Kiat Tan, Ru Kong +24 more

Brain-wide functional connectome analysis of 40,000 individuals reveals brain networks that show aging effects in older adults

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.05.17.594743

N/A

0DataRank · unranked

4 citations

Chuan Bi, Peter Kochunov, Michelle Shardell, J. Carson Smith, Rozalina G. McCoy +16 more

False Discovery Rate and Localizing Power

arXiv (Cornell University)(2024)10.48550/arxiv.2401.03554

N/A

0DataRank · unranked

3 citations

Paul A. Taylor, Thomas E. Nichols, Chris Rorden, Anderson M. Winkler

Scalable Scalar-on-Image Cortical Surface Regression with a Relaxed-Thresholded Gaussian Process Prior

arXiv (Cornell University)(2024)10.48550/arxiv.2403.13628

N/A

0DataRank · unranked

0 citations

Thomas E. Nichols, Timothy D. Johnson, Lana X. Garmire, Anna Menacher

Scalable Bayesian Image-on-Scalar Regression for Population-Scale Neuroimaging Data Analysis

PubMed(2024)10.48550/arxiv.2404.13204

N/A

0DataRank · unranked

0 citations

Timothy D. Johnson, Thomas E. Nichols, Lana X. Garmire, Yuliang Xu

Accelerating Heritability, Genetic Correlation, and Genome‐Wide Association Imaging Genetic Analyses in Complex Pedigrees

Human Brain Mapping(2024)10.1002/hbm.70044

Top 100%

0DataRank

Top 100%0 citations

Si Gao, Thomas E. Nichols, Bhim M. Adhikari, Yizhou Ma, Neda Jahanshad +13 more

Longitudinal analysis of the ABCD® study

Developmental Cognitive Neuroscience(2025)10.1016/j.dcn.2025.101518

N/A

0DataRank · unranked

6 citations

Andrew K. Littlefield, Daniel A. Lopez, Kenneth J. Sher, Erin L. Thompson, Raúl González +21 more

Statistical inference for same data meta-analysis in neuroimaging multiverse analyzes

Imaging Neuroscience(2025)10.1162/imag_a_00513

N/A

0DataRank · unranked

4 citations

Thomas E. Nichols, Camille Maumet, Jérémy Lefort‐Besnard

Advancing image-based meta-analysis through systematic use of crowdsourced NeuroVault data

Scientific Reports(2025)10.1038/s41598-025-20328-8

N/A

0DataRank · unranked

2 citations

James D. Kent, Ross Blair, Jean‐Baptiste Poline, Thomas E. Nichols, Alejandro de la Vega +2 more

Structural Brain Correlates of Childhood Inhibited Temperament: An ENIGMA-Anxiety Mega-Analysis

Journal of the American Academy of Child & Adolescent Psychiatry(2025)10.1016/j.jaac.2025.06.026

N/A

0DataRank · unranked

0 citations

Rachel Bernstein, Brenda E. Benson, Samuel Frank, Kristin A. Buss, Kelley E. Gunther +55 more

Age associations with cortical and subcortical brain structure in adolescents age 9-17

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.09.18.677236

N/A

0DataRank · unranked

0 citations

Alison Rigby, Diliana Pecheva, Pravesh Parekh, Ashley Becker, Robert Loughnan +4 more

CBMR: Coordinate-based meta-regression for group and covariate inference

Imaging Neuroscience(2025)10.1162/imag.a.1057

N/A

0DataRank · unranked

0 citations

Lauren D. Hill-Bowen, Michael C. Riedel, Katherine L. Bottenhorn, Angela R. Laird, Thomas E. Nichols +1 more

An interactive meta-analysis of MRI biomarkers of myelin

eLife(2020)10.7554/elife.61523

N/A

0DataRank · unranked

173 citations

Agâh Karakuzu, Julien Cohen‐Adad, Mara Cercignani, Thomas E. Nichols, Nikola Stikov +1 more

Multiple testing correction over contrasts for brain imaging

NeuroImage(2020)10.1016/j.neuroimage.2020.116760

N/A

0DataRank · unranked

93 citations

Thomas E. Nichols, Humberto Remigio Gamba, Anderson M. Winkler, Bianca A. V. Alberton

Confidence Sets for Cohen’s d effect size images

NeuroImage(2020)10.1016/j.neuroimage.2020.117477

N/A

0DataRank · unranked

59 citations

Fabian J. E. Telschow, Armin Schwartzman, Thomas E. Nichols, Alexander Bowring

Estimating the prevalence of missing experiments in a neuroimaging meta‐analysis

Research Synthesis Methods(2020)10.1002/jrsm.1448

N/A

0DataRank · unranked

58 citations

Silvia Montagna, Angela R. Laird, Peter T. Fox, Timothy D. Johnson, Thomas E. Nichols +1 more

Guidelines for the content and format of PET brain data in publications and archives: A consensus paper

Journal of Cerebral Blood Flow & Metabolism(2020)10.1177/0271678x20905433

N/A

0DataRank · unranked

72 citations

Melanie Ganz, Stefan Appelhoff, Ronald Boellaard, Guy Bormans, Richard E. Carson +39 more

Multi-subject Stochastic Blockmodels for adaptive analysis of individual differences in human brain network cluster structure

NeuroImage(2020)10.1016/j.neuroimage.2020.116611

N/A

0DataRank · unranked

13 citations

Bryan Guillaume, Emma K. Towlson, Nicole M. Y. Kuek, Soroosh Afyouni, Petra E. Vértes +4 more

Quantifying uncertainty in brain-predicted age using scalar-on-image quantile regression

NeuroImage(2020)10.1016/j.neuroimage.2020.116938

N/A

0DataRank · unranked

32 citations

Shahin Tavakoli, Julia Brettschneider, Thomas E. Nichols, Marco Palma

Permutation inference for canonical correlation analysis

NeuroImage(2020)10.1016/j.neuroimage.2020.117065

N/A

0DataRank · unranked

3 citations

Olivier Renaud, Stephen M. Smith, Thomas E. Nichols, Anderson M. Winkler

Thomas E. Nichols

Indexed papers

Top data-sharing exemplar

Papers