Nichols, Thomas E.

Nonparametric permutation tests for functional neuroimaging: A primer with examples

Nichols, T. E., & Holmes, A. P. (2002) · Human Brain Mapping

Functional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Cited by 6,256

Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference.

SMITH, S., & NICHOLS, T. (2009) · NeuroImage

Functional Brain Connectivity StudiesMedical Image Segmentation Techniques

Cited by 5,250

Thresholding of statistical maps in functional neuroimaging using the false discovery rate

Genovese, C. R., Lazar, N. A., & Nichols, T. (2002) · NeuroImage

Functional Brain Connectivity StudiesStatistical Methods in Clinical Trials

Cited by 4,923

Large-scale automated synthesis of human functional neuroimaging data.

Yarkoni, T., Poldrack, R. A., Nichols, T. E., Van Essen, D. C., & Wager, T. D. (2011) · Nature Methods

Functional Brain Connectivity StudiesBiomedical Text Mining and Ontologies

Cited by 3,686

Permutation inference for the general linear model

Winkler, A. M., Ridgway, G. R., Webster, M. A., Smith, S. M., & Nichols, T. E. (2014) · NeuroImage

Functional Brain Connectivity StudiesStatistical Methods in Clinical Trials

Cited by 3,563

Cluster failure: why fMRI inferences for spatial extent have inflated false-positive rates

Eklund, A., Nichols, T. E., & Knutsson, H. (2016) · Proceedings of the National Academy of Sciences

Functional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Cited by 3,487

Network modelling methods for FMRI

Smith, S. M., Miller, K. L., Salimi-Khorshidi, G., Webster, M., Beckmann, C. F., Nichols, T. E., Ramsey, J. D., & Woolrich, M. W. (2011) · NeuroImage

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 1,878

The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments

Gorgolewski, K. J., Auer, T., Calhoun, V. D., Craddock, R. C., Das, S., Duff, E. P., Flandin, G., Ghosh, S. S., Glatard, T., Halchenko, Y. O., et al. (2016) · Scientific Data

Research Data Management PracticesFunctional Brain Connectivity Studies

Cited by 1,775

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

Douaud, G., Lee, S., Alfaro-Almagro, F., Arthofer, C., Wang, C., McCarthy, P., Lange, F., Andersson, J. L. R., Griffanti, L., Duff, E., et al. (2022) · Nature

Long-Term Effects of COVID-19SARS-CoV-2 and COVID-19 Research

Cited by 1,646

Scanning the horizon: towards transparent and reproducible neuroimaging research

Poldrack, R. A., Baker, C. I., Durnez, J., Gorgolewski, K. J., Matthews, P. M., Munafò, M. R., Nichols, T. E., Poline, J.-B., Vul, E., & Yarkoni, T. (2017) · Nature Reviews Neuroscience

Functional Brain Connectivity StudiesScientific Computing and Data Management

Cited by 1,410

Functional connectomics from resting-state fMRI

Smith, S. M., Vidaurre, D., Beckmann, C. F., Glasser, M. F., Jenkinson, M., Miller, K. L., Nichols, T. E., Robinson, E. C., Salimi-Khorshidi, G., Woolrich, M. W., et al. (2013) · Trends in Cognitive Sciences

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 952

A positive-negative mode of population covariation links brain connectivity, demographics and behavior

Smith, S. M., Nichols, T. E., Vidaurre, D., Winkler, A. M., Behrens, T. E. J., Glasser, M. F., Ugurbil, K., Barch, D. M., Van Essen, D. C., & Miller, K. L. (2015) · Nature Neuroscience

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 859

Common genetic variants influence human subcortical brain structures

Initiative, T. A. D. N., Hibar, D. P., The CHARGE Consortium, EPIGEN, IMAGEN, SYS, Stein, J. L., Renteria, M. E., Arias-Vasquez, A., Desrivières, S., et al. (2015) · Nature

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 858

The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

the Alzheimer’s Disease Neuroimaging Initiative, E. C., Thompson, P. M., Stein, J. L., Medland, S. E., Hibar, D. P., Vasquez, A. A., Renteria, M. E., Toro, R., Jahanshad, N., Schumann, G., et al. (2014) · Brain Imaging and Behavior

Genetic Associations and EpidemiologyFunctional Brain Connectivity Studies

Cited by 838

Ten simple rules for neuroimaging meta-analysis

Müller, V. I., Cieslik, E. C., Laird, A. R., Fox, P. T., Radua, J., Mataix-Cols, D., Tench, C. R., Yarkoni, T., Nichols, T. E., Turkeltaub, P. E., et al. (2018) · Neuroscience & Biobehavioral Reviews

Functional Brain Connectivity StudiesMeta-analysis and systematic reviews

Cited by 805

Placebo Effects Mediated by Endogenous Opioid Activity on μ-Opioid Receptors

Zubieta, J.-K., Bueller, J. A., Jackson, L. R., Scott, D. J., Xu, Y., Koeppe, R. A., Nichols, T. E., & Stohler, C. S. (2005) · The Journal of Neuroscience

Pain Management and Placebo EffectPain Mechanisms and Treatments

Cited by 779

Best practices in data analysis and sharing in neuroimaging using MRI

Nichols, T. E., Das, S., Eickhoff, S. B., Evans, A. C., Glatard, T., Hanke, M., Kriegeskorte, N., Milham, M. P., Poldrack, R. A., Poline, J.-B., et al. (2017) · Nature Neuroscience

Research Data Management PracticesScientific Computing and Data Management

Cited by 714

Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation

Eickhoff, S. B., Nichols, T. E., Laird, A. R., Hoffstaedter, F., Amunts, K., Fox, P. T., Bzdok, D., & Eickhoff, C. R. (2016) · NeuroImage

Functional Brain Connectivity StudiesMeta-analysis and systematic reviews

Cited by 683

Guidelines for reporting an fMRI study

Poldrack, R. A., Fletcher, P. C., Henson, R. N., Worsley, K. J., Brett, M., & Nichols, T. E. (2008) · NeuroImage

Academic Writing and PublishingMeta-analysis and systematic reviews

Cited by 550

How patients with multiple sclerosis acquire disability

Lublin, F. D., Häring, D. A., Ganjgahi, H., Ocampo, A., Hatami, F., Čuklina, J., Aarden, P., Dahlke, F., Arnold, D. L., Wiendl, H., et al. (2022) · Brain

Multiple Sclerosis Research StudiesPolyomavirus and related diseases

Cited by 549

Optimization of experimental design in fMRI: a general framework using a genetic algorithm

Wager, T. D., & Nichols, T. E. (2003) · NeuroImage

Optimal Experimental Design MethodsAdvanced MRI Techniques and Applications

Cited by 458

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

Jahanshad, N., Kochunov, P. V., Sprooten, E., Mandl, R. C., Nichols, T. E., Almasy, L., Blangero, J., Brouwer, R. M., Curran, J. E., de Zubicaray, G. I., et al. (2013) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsGenetic Associations and Epidemiology

Cited by 393

Meta-analysis of neuroimaging data: a comparison of image-based and coordinate-based pooling of studies

Salimi-Khorshidi, G., Smith, S. M., Keltner, J. R., Wager, T. D., & Nichols, T. E. (2009) · NeuroImage

Functional Brain Connectivity StudiesMeta-analysis and systematic reviews

Cited by 388

Novel genetic loci associated with hippocampal volume

Hibar, D. P., Adams, H. H. H., Jahanshad, N., Chauhan, G., Stein, J. L., Hofer, E., Renteria, M. E., Bis, J. C., Arias-Vasquez, A., Ikram, M. K., et al. (2017) · Nature Communications

Genetic Associations and EpidemiologyMemory and Neural Mechanisms

Cited by 299