Publications

2018
Articles
PDF Directed functional connectivity using dynamic graphical models
Simon Schwab, Ruth Harbord, Valerio Zerbi, Lloyd Elliott, Soroosh Afyouni, Jim Q. Smith, et al. NeuroImage: 340 - 353. doi: https://doi.org/10.1016/j.neuroimage.2018.03.074.
PDF Bayesian log-Gaussian Cox process regression: applications to meta-analysis of neuroimaging working memory studies
Samartsidis Pantelis, Eickhoff Claudia R., Eickhoff Simon B., Wager Tor D., Barrett Lisa Feldman, Atzil Shir, et al. Journal of the Royal Statistical Society: Series C (Applied Statistics) 0(0). doi: 10.1111/rssc.12295.
2017
Preprints
PDF Bayesian log-Gaussian Cox process regression with applications to fMRI meta-analysis
Pantelis Samartsidis, Tor D. Wager, Lisa Feldman Barrett, Shir Atzil, Simon B. Eickhoff, Thomas E. Nichols, et al. Technical Report arXiv.
PDF Fast and Powerful Genome Wide Association Analysis of Dense Genetic Data with High Dimensional Imaging Phenotypes
Habib Ganjgahi, Anderson M. Winkler, David C. Glahn, John Blangero, Brian Donohue, Peter Kochunov, et al. Technical Report . doi: 10.1101/179150.
Articles
PDF A defense of using resting-state fMRI as null data for estimating false positive rates.
Thomas E. Nichols, Anders Eklund, and Hans Knutsson. Cognitive neuroscience 8(3): 144–149. doi: 10.1080/17588928.2017.1287069.
PDF Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications.
Chenyang Tao, Thomas E. Nichols, Xue Hua, Christopher R K Ching, Edmund T. Rolls, Paul M. Thompson, et al. NeuroImage 144(Pt A): 35–57. doi: 10.1016/j.neuroimage.2016.08.027.
PDF Scanning the horizon: towards transparent and reproducible neuroimaging research.
Russell A Poldrack, Chris I Baker, Joke Durnez, Krzysztof J Gorgolewski, Paul M Matthews, Marcus R Munafò, et al. Nature reviews. Neuroscience. doi: 10.1038/nrn.2016.167.
PDF Best practices in data analysis and sharing in neuroimaging using MRI
Thomas E. Nichols, Samir Das, Simon B. Eickhoff, Alan C. Evans, Tristan Glatard, Michael Hanke, et al. Nature Neuroscience 20(3): 299–303. doi: 10.1038/nn.4500.
2016
Preprints
PDF Best Practices in Data Analysis and Sharing in Neuroimaging using MRI
Thomas E. Nichols, Samir Das, Simon B. Eickhoff, Alan C. Evans, Tristan Glatard, Michael Hanke, et al. Technical Report bioRxiv: 054262. doi: 10.1101/054262.
PDF Minimal Data Needed for Valid & Accurate Image-Based fMRI Meta-Analysis
Camille Maumet and Thomas E Nichols. Technical Report bioRxiv: 1–9. doi: 10.1101/048249.
PDF Power and sample size calculations for fMRI studies based on the prevalence of active peaks.
Joke Durnez, Jasper Degryse, Beatrijs Moerkerke, Ruth Seurinck, Vanessa Sochat, Russell A Poldrack, et al. Technical Report bioRxiv: 0–23. doi: 10.1101/049429.
Articles
PDF The common genetic influence over processing speed and white matter microstructure: Evidence from the Old Order Amish and Human Connectome Projects.
Peter Kochunov, Paul M. Thompson, Anderson Winkler, Mary Morrissey, Mao Fu, Thomas R. Coyle, et al. NeuroImage: 189–97. doi: 10.1016/j.neuroimage.2015.10.050.
PDF Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates.
Anders Eklund, Thomas E Nichols, and Hans Knutsson. Proceedings of the National Academy of Sciences of the United States of America 113(28): 7900–5. doi: 10.1073/pnas.1602413113.
PDF Exploring fMRI Results Space: 31 Variants of an fMRI Analysis in AFNI, FSL, and SPM
Ruth Pauli, Alexander Bowring, Richard Reynolds, Gang Chen, Thomas E. Nichols, and Camille Maumet. Frontiers in Neuroinformatics 10(July): 24. doi: 10.3389/fninf.2016.00024.
PDF Novel genetic loci underlying human intracranial volume identified through genome-wide association
Hieab H H Adams, Derrek P Hibar, Vincent Chouraki, Jason L Stein, Paul A Nyquist, Miguel E Rentería, et al. Nature Neuroscience. doi: 10.1038/nn.4398.
PDF The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.
Krzysztof J Gorgolewski, Tibor Auer, Vince D Calhoun, R Cameron Craddock, Samir Das, Eugene P Duff, et al. Scientific data: 160044. doi: 10.1038/sdata.2016.44.
PDF Non-parametric combination and related permutation tests for neuroimaging.
Anderson M. Winkler, Matthew A. Webster, Jonathan C. Brooks, Irene Tracey, Stephen M. Smith, and Thomas E. Nichols. Human brain mapping: n/a­-n/a. doi: 10.1002/hbm.23115.
PDF Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept
Barbara Franke, Jason L Stein, Stephan Ripke, Verneri Anttila, Derrek P Hibar, Kimm J E Hulzen, et al. Nature neuroscience. doi: 10.1038/nn.4228.
PDF NeuroVault.org: A repository for sharing unthresholded statistical maps, parcellations, and atlases of the human brain.
Krzysztof J. Gorgolewski, Gael Varoquaux, Gabriel Rivera, Yannick Schwartz, Vanessa V. Sochat, Satrajit S. Ghosh, et al. NeuroImage 124(Pt B): 1242–4. doi: 10.1016/j.neuroimage.2015.04.016.
PDF Sharing the wealth: Neuroimaging data repositories.
Simon B. Eickhoff, Thomas E. Nichols, John D. Van Horn, and Jessica A. Turner. NeuroImage 124(Pt B): 1065–8. doi: 10.1016/j.neuroimage.2015.10.079.
PDF Seeking optimal region-of-interest (ROI) single-value summary measures for fMRI studies in imaging genetics
Yunxia Tong, Qiang Chen, Thomas E. Nichols, Roberta Rasetti, Joseph H. Callicott, Karen F. Berman, et al. PLoS ONE 11(3): 1–20. doi: 10.1371/journal.pone.0151391.
PDF Sharing brain mapping statistical results with the neuroimaging data model.
Camille Maumet, Tibor Auer, Alexander Bowring, Gang Chen, Samir Das, Guillaume Flandin, et al. Scientific data: 160102. doi: 10.1038/sdata.2016.102.
PDF Faster permutation inference in brain imaging
Anderson M. Winkler, Gerard R. Ridgway, Gwenaëlle Douaud, Thomas E. Nichols, and Stephen M. Smith. NeuroImage: 502–516. doi: 10.1016/j.neuroimage.2016.05.068.
PDF Novel genetic loci associated with hippocampal volume
Mohammad Arfan Ikram, Derrek Hibar, Hieab Adams, Neda Jahanshad, Ganesh Chauhan, Jason Stein, et al. Nature Communications. doi: 10.1038/ncomms13624.
PDF Correction for Eklund et al., Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates.
Anders Eklund, Thomas E. Nichols, and Hans Knutsson. Proceedings of the National Academy of Sciences of the United States of America: 201612033. doi: 10.1073/pnas.1612033113.
Books & Chapters
PDF Statistical Analysis of fMRI Data
Mark W. Woolrich, Christian F. Beckmann, Thomas E. Nichols, and Stephen M. Smith. Statistical Analysis of fMRI Data: 183–239. doi: 10.1007/978-1-4939-5611-1_7.
2015
Articles
PDF Classifying individuals at high-risk for psychosis based on functional brain activity during working memory processing
Kerstin Bendfeldt, Renata Smieskova, Nikolaos Koutsouleris, Stefan Klöppel, André Schmidt, Anna Walter, et al. NeuroImage: Clinical: 555–563. doi: 10.1016/j.nicl.2015.09.015.
PDF Heritability of fractional anisotropy in human white matter: a comparison of Human Connectome Project and ENIGMA-DTI data.
Peter Kochunov, Neda Jahanshad, Daniel Marcus, Anderson M. Winkler, Emma Sprooten, Thomas E. Nichols, et al. NeuroImage: 300–11. doi: 10.1016/j.neuroimage.2015.02.050.
PDF A positive-negative mode of population covariation links brain connectivity, demographics and behavior.
Stephen M Smith, Thomas E Nichols, Diego Vidaurre, Anderson M. Winkler, Timothy E J Behrens, Matthew F Glasser, et al. Nature neuroscience 18(11): 1565–7. doi: 10.1038/nn.4125.
PDF Multi-level block permutation.
Anderson M. Winkler, Matthew a. Webster, Diego Vidaurre, Thomas E. Nichols, and Stephen M. Smith. NeuroImage: 253–68. doi: 10.1016/j.neuroimage.2015.05.092.
PDF Age differences in the brain mechanisms of good taste
Edmund T Rolls, Michele B Kellerhals, and Thomas E Nichols. NeuroImage: 298–309. doi: 10.1016/j.neuroimage.2015.03.065.
PDF A voxelation-corrected non-stationary 3D cluster-size test based on random field theory.
Huanjie Li, Lisa D. Nickerson, Xuna Zhao, Thomas E. Nichols, and Jia-Hong Gao. NeuroImage. doi: 10.1016/j.neuroimage.2015.05.094.
PDF NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain.
Krzysztof J. Gorgolewski, Gael Varoquaux, Gabriel Rivera, Yannick Schwarz, Satrajit S. Ghosh, Camille Maumet, et al. Frontiers in neuroinformatics 9(April): 8. doi: 10.3389/fninf.2015.00008.
PDF A kernel machine method for detecting effects of interaction between multidimensional variable sets: An imaging genetics application.
Tian Ge, Thomas E Nichols, Debashis Ghosh, Elizabeth C Mormino, Jordan W Smoller, and Mert R Sabuncu. NeuroImage: 505–514. doi: 10.1016/j.neuroimage.2015.01.029.
PDF Common genetic variants influence human subcortical brain structures.
Derrek P. Hibar, Jason L. Stein, Miguel E. Renteria, Alejandro Arias-Vasquez, Sylvane Desrivières, Neda Jahanshad, et al. Nature 520(7546): 224–9. doi: 10.1038/nature14101.
PDF Searching Multiregression Dynamic Models of Resting-State fMRI Networks Using Integer Programming
Lilia Costa, Jim Smith, Thomas Nichols, James Cussens, Eugene P. Duff, Tamar R. Makin, et al. Bayesian Analysis 10(2): 441–478. doi: 10.1214/14-BA913.
PDF Fast and powerful heritability inference for family-based neuroimaging studies.
Habib Ganjgahi, Anderson M. Winkler, David C. Glahn, John Blangero, Peter Kochunov, and Thomas E. Nichols. NeuroImage: 256–68. doi: 10.1016/j.neuroimage.2015.03.005.
PDF ENIGMA and the Individual: Predicting Factors that Affect the Brain in 35 Countries Worldwide.
Paul M. Thompson, Ole A. Andreassen, Alejandro Arias-Vasquez, Carrie E. Bearden, Premika S. Boedhoe, Rachel M. Brouwer, et al. NeuroImage. doi: 10.1016/j.neuroimage.2015.11.057.
PDF Multi-modal characterization of rapid anterior hippocampal volume increase associated with aerobic exercise.
Adam G. Thomas, Andrea Dennis, Nancy B. Rawlings, Charlotte J. Stagg, Lucy Matthews, Martyn Morris, et al. NeuroImage. doi: 10.1016/j.neuroimage.2015.10.090.
PDF FVGWAS : Fast Voxelwise Genome Wide Association Analysis of Large-scale Imaging Genetic Data
Meiyan Huang, Thomas Nichols, Chao Huang, Yu Yang, Zhaohua Lu, Qianjing Feng, et al. NeuroImage: 48. doi: 10.1016/j.neuroimage.2015.05.043.
PDF An Ultra-High Field Magnetic Resonance Spectroscopy Study of Post Exercise Lactate, Glutamate and Glutamine Change in the Human Brain
Andrea Dennis, Adam G. Thomas, Nancy B. Rawlings, Jamie Near, Thomas E. Nichols, Stuart Clare, et al. Frontiers in Physiology 6(December). doi: 10.3389/fphys.2015.00351.
PDF Medial Demons Registration Localizes The Degree of Genetic Influence Over Subcortical Shape Variability: An N= 1480 Meta-Analysis.
Boris A Gutman, Neda Jahanshad, Christopher R K Ching, Yalin Wang, Peter V Kochunov, Thomas E Nichols, et al. Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging: 1402–1406. doi: 10.1109/ISBI.2015.7164138.
PDF Massively expedited genome-wide heritability analysis (MEGHA).
Tian Ge, Thomas E. Nichols, Phil H. Lee, Avram J. Holmes, Joshua L. Roffman, Randy L. Buckner, et al. Proceedings of the National Academy of Sciences of the United States of America 112(8): 2479–84. doi: 10.1073/pnas.1415603112.
PDF A Bayesian Model of Category-Specific Emotional Brain Responses
Tor D. Wager, Jian Kang, Timothy D. Johnson, Thomas E. Nichols, Ajay B. Satpute, and Lisa Feldman Barrett. PLOS Computational Biology: e1004066. doi: 10.1371/journal.pcbi.1004066.
In Proceedings
PDF Empirically investigating the statistical validity of SPM, FSL and AFNI for single subject fMRI analysis
Anders Eklund, Thomas Nichols, Mats Andersson, and Hans Knutsson. 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI): 1376–1380. doi: 10.1109/ISBI.2015.7164132.
2014
Preprints
PDF STATISTICAL RESEARCH AND TRAINING UNDER THE BRAIN INITIATIVE
Robert Kass, Genevera Allen, Brian Caffo, John Cunningham, Uri Eden, Timothy D Johnson, et al. Technical Report ASA White Paper: 1–10.
Articles
PDF Post-hoc power estimation for topological inference in fMRI.
Joke Durnez, Beatrijs Moerkerke, and Thomas E Nichols. NeuroImage: 45–64. doi: 10.1016/j.neuroimage.2013.07.072.
PDF Multiple comparison procedures for neuroimaging genomewide association studies.
Wen-Yu Hua, Thomas E. Nichols, and Debashis Ghosh. Biostatistics: 1–14. doi: 10.1093/biostatistics/kxu026.
PDF Permutation inference for the general linear model.
Anderson M. Winkler, Gerard R Ridgway, Matthew A Webster, Stephen M Smith, and Thomas E Nichols. NeuroImage: 381–97. doi: 10.1016/j.neuroimage.2014.01.060.
PDF Joint genetic analysis of hippocampal size in mouse and human identifies a novel gene linked to neurodegenerative disease.
David G Ashbrook, Robert W Williams, Lu Lu, Jason L Stein, Derrek P Hibar, Thomas E Nichols, et al. BMC genomics 15(1): 850. doi: 10.1186/1471-2164-15-850.
PDF Fast and accurate modelling of longitudinal and repeated measures neuroimaging data.
Bryan Guillaume, Xue Hua, Paul M. Thompson, Lourens Waldorp, and Thomas E. Nichols. NeuroImage: 287–302. doi: 10.1016/j.neuroimage.2014.03.029.
PDF Development of impulse control circuitry in children of alcoholics.
Jillian E. Hardee, Barbara J. Weiland, Thomas E. Nichols, Robert C. Welsh, Mary E. Soules, Davia B. Steinberg, et al. Biological psychiatry 76(9): 708–16. doi: 10.1016/j.biopsych.2014.03.005.
PDF Imaging proteomics for diagnosis, monitoring and prediction of Alzheimer's disease.
Arash Nazeri, Habib Ganjgahi, Tina Roostaei, Thomas Nichols, and Mojtaba Zarei. NeuroImage: 657–65. doi: 10.1016/j.neuroimage.2014.08.041.
PDF Stochastic Blockmodeling of the Modules and Core of the Caenorhabditis elegans Connectome
Dragana M. Pavlovic, Petra E. Vértes, Edward T. Bullmore, William R. Schafer, and Thomas E. Nichols. PLoS ONE 9(7): e97584. doi: 10.1371/journal.pone.0097584.
PDF Progression in disability and regional grey matter atrophy in relapsing-remitting multiple sclerosis.
Louis Hofstetter, Yvonne Naegelin, Lukas Filli, Pascal Kuster, Stefan Traud, Renata Smieskova, et al. Multiple sclerosis 20(2): 202–13. doi: 10.1177/1352458513493034.
PDF Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: Comparing meta and megaanalytical approaches for data pooling.
Peter Kochunov, Neda Jahanshad, Emma Sprooten, Thomas E Nichols, René C Mandl, Laura Almasy, et al. NeuroImage: 136–50. doi: 10.1016/j.neuroimage.2014.03.033.
PDF Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines
Mary Ellen Koran, Tricia a Thornton-Wells, Neda Jahanshad, David C Glahn, Paul M Thompson, John Blangero, et al. Journal of medical imaging (Bellingham, Wash.) 1(1): 14005. doi: 10.1117/1.JMI.1.1.014005.
PDF 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]
Neda Jahanshad, Peter V. Kochunov, Emma Sprooten, René C. Mandl, Thomas E. Nichols, Laura Almasy, et al. NeuroImage: 470–471. doi: 10.1016/j.neuroimage.2013.12.053.
PDF Toward a Multisubject Analysis of Neural Connectivity.
C J Oates, L Costa, and T E Nichols. Neural computation: 1–20. doi: 10.1162/NECO_a_00690.
PDF Cluster-based computational methods for mass univariate analyses of event-related brain potentials/fields: A simulation study.
C R Pernet, M Latinus, T E Nichols, and G a Rousselet. Journal of neuroscience methods: 1–9. doi: 10.1016/j.jneumeth.2014.08.003.
PDF Global Genetic Variations Predict Brain Response to Faces.
Erin W Dickie, Amir Tahmasebi, Leon French, Natasa Kovacevic, Tobias Banaschewski, Gareth J Barker, et al. PLoS genetics 10(8): e1004523. doi: 10.1371/journal.pgen.1004523.
PDF On study design in neuroimaging heritability analyses
Mary Ellen Koran, Bo Li, Neda Jahanshad, Tricia a. Thornton-Wells, David C. Glahn, Paul M. Thompson, et al. Proc. SPIE 9034(615): 90342P–6. doi: 10.1117/12.2043565.
PDF Modelling the Penumbra in Computed Tomography
Audrey Kueh, Jason W Warnett, Gregory Gibbons, Julia Brettschneider, Thomas E Nichols, Mark A WIlliams, et al. CRiSM Working Paper Series 14(25): 1–19. doi: 10.3233/XST-160576.
PDF The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data.
Paul M Thompson, Jason L Stein, Sarah E Medland, Derrek P Hibar, Alejandro Arias Vasquez, Miguel E Renteria, et al. Brain imaging and behavior 8(2): 153–82. doi: 10.1007/s11682-013-9269-5.
PDF Analysis Of Multiple Sclerosis Lesions Via Spatially Varying Coefficients
Tian Ge, Nicole Müller-Lenke, Kerstin Bendfeldt, Thomas E. Nichols, and Timothy D Johnson. The annals of applied statistics 8(2): 1095–1118. doi: 10.1214/14-AOAS718.
Books & Chapters
PDF Power Estimates for Voxel-Based Genetic Association Studies Using Diffusion Imaging
Neda Jahanshad, Peter Kochunov, David C. Glahn, John Blangero, Thomas E. Nichols, Katie L. McMahon, et al. Power Estimates for Voxel-Based Genetic Association Studies Using Diffusion Imaging: 229–238. doi: 10.1007/978-3-319-02475-2_21.
In Proceedings
PDF Spatial Modeling of Multiple Sclerosis for Disease Subtype Prediction
Bernd Taschler, Tian Ge, Kerstin Bendfeldt, Nicole Müller-Lenke, Timothy D Johnson, and Thomas E Nichols. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 (Lecture Notes in Computer Science): 797–804. doi: 10.1007/978-3-319-10470-6_99.
2013
Articles
PDF Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: a pilot project of the ENIGMA-DTI working group.
Neda Jahanshad, Peter V Kochunov, Emma Sprooten, René C Mandl, Thomas E Nichols, Laura Almasy, et al. NeuroImage: 455–69. doi: 10.1016/j.neuroimage.2013.04.061.
PDF Dynamic filtering of static dipoles in magnetoencephalography
Alberto Sorrentino, Adam M. Johansen, John a. D. Aston, Thomas E. Nichols, and Wilfrid S. Kendall. The Annals of Applied Statistics 7(2): 955–988. doi: 10.1214/12-AOAS611.
PDF A Bayesian non-parametric Potts model with application to pre-surgical FMRI data.
Timothy D Johnson, Zhuqing Liu, Andreas J Bartsch, and Thomas E. Nichols. Statistical methods in medical research 22(4): 364–81. doi: 10.1177/0962280212448970.
PDF Transcriptomics of cortical gray matter thickness decline during normal aging.
P Kochunov, J Charlesworth, Anderson M. Winkler, L E Hong, T Nichols, J E Curran, et al. NeuroImage. doi: 10.1016/j.neuroimage.2013.05.066.
PDF Genetics of the connectome.
Paul M. Thompson, Tian Ge, David C. Glahn, Neda Jahanshad, and Thomas E. Nichols. NeuroImage: 475–88. doi: 10.1016/j.neuroimage.2013.05.013.
PDF Preventing Alzheimer's disease-related gray matter atrophy by B-vitamin treatment.
Gwenaëlle Douaud, Helga Refsum, Celeste a. Jager, Robin Jacoby, Thomas E Nichols, Stephen M Smith, et al. Proceedings of the National Academy of Sciences of the United States of America 110(23): 9523–8. doi: 10.1073/pnas.1301816110.
PDF Functional connectomics from resting-state fMRI.
Stephen M Smith, Diego Vidaurre, Christian F Beckmann, Matthew F Glasser, Mark Jenkinson, Karla L Miller, et al. Trends in cognitive sciences 17(12): 666–82. doi: 10.1016/j.tics.2013.09.016.
PDF Alternative-based thresholding with application to presurgical fMRI.
Joke Durnez, Beatrijs Moerkerke, Andreas Bartsch, and Thomas E. Nichols. Cognitive, affective & behavioral neuroscience 13(4): 703–13. doi: 10.3758/s13415-013-0185-3.
PDF A Bayesian Hierarchical Spatial Point Process Model for Multi-Type Neuroimaging Meta-Analysis
Jian Kang, Thomas E. Nichols, Tor D. Wager, and Timothy D. Johnson. The Annals of Applied Statistics 8(3): 1800–1824. doi: 10.1214/14-AOAS757.
2012
Articles
PDF A Comparison of Gray Matter Density in Restless Legs Syndrome Patients and Matched Controls Using Voxel-Based Morphometry.
Robert a Comley, Simon Cervenka, Sven E Palhagen, Georgios Panagiotidis, Julian C Matthews, Robert Y.K. Lai, et al. Journal of neuroimaging : official journal of the American Society of Neuroimaging 22(1): 28–32. doi: 10.1111/j.1552-6569.2010.00536.x.
PDF Spatiotemporal distribution of white matter lesions in relapsing-remitting and secondary progressive multiple sclerosis.
Lukas Filli, Louis Hofstetter, Pascal Kuster, Stefan Traud, Nicole Mueller-Lenke, Yvonne Naegelin, et al. Multiple sclerosis 18(11): 1577–84. doi: 10.1177/1352458512442756.
PDF Multiple testing corrections, nonparametric methods, and random field theory.
Thomas E. Nichols. NeuroImage 62(2): 811–5. doi: 10.1016/j.neuroimage.2012.04.014.
PDF Multivariate pattern classification of gray matter pathology in multiple sclerosis.
Kerstin Bendfeldt, Stefan Klöppel, Thomas E. Nichols, Renata Smieskova, Pascal Kuster, Stefan Traud, et al. NeuroImage 60(1): 400–8. doi: 10.1016/j.neuroimage.2011.12.070.
PDF Measuring and comparing brain cortical surface area and other areal quantities.
Anderson M. Winkler, Mert R Sabuncu, B T Thomas Yeo, Bruce Fischl, Douglas N Greve, Peter Kochunov, et al. NeuroImage 61(4): 1428–43. doi: 10.1016/j.neuroimage.2012.03.026.
PDF The danger of systematic bias in group-level FMRI-lag-based causality estimation.
Stephen M. Smith, Peter A. Bandettini, K L Miller, Timothy E.J. Behrens, Karl J. Friston, O David, et al. NeuroImage 59(2): 1228–9. doi: 10.1016/j.neuroimage.2011.08.015.
PDF Increasing power for voxel-wise genome-wide association studies: the random field theory, least square kernel machines and fast permutation procedures.
Tian Ge, Jianfeng Feng, Derrek P Hibar, Paul M. Thompson, and Thomas E. Nichols. NeuroImage 63(2): 858–73. doi: 10.1016/j.neuroimage.2012.07.012.
PDF Identification of common variants associated with human hippocampal and intracranial volumes.
Jason L Stein, Sarah E Medland, Alejandro Arias Vasquez, Derrek P Hibar, Rudy E Senstad, Anderson M. Winkler, et al. Nature genetics 44(5): 552–61. doi: 10.1038/ng.2250.
PDF Identification of common variants associated with human hippocampal and intracranial volumes.
Jason L Stein, Sarah E Medland, Alejandro Arias Vasquez, Derrek P Hibar, Rudy E Senstad, Anderson M. Winkler, et al. Nature genetics 44(5): 552–61. doi: 10.1038/ng.2250.
2011
Articles
PDF False positives in neuroimaging genetics using voxel-based morphometry data.
Matt Silver, Giovanni Montana, Thomas E. Nichols, and Alzheimer's Disease Neuroimaging Initiative. NeuroImage 54(2): 992–1000. doi: 10.1016/j.neuroimage.2010.08.049.
PDF Using Gaussian-Process Regression for Meta-analytic Neuroimaging Inference Based on Sparse Observations.
Gholamreza Salimi-Khorshidi, Thomas E. Nichols, Stephen M. Smith, and Mark W. Woolrich. IEEE Transactions on Medical Imaging 30(7): 1401–16. doi: 10.1109/TMI.2011.2122341.
PDF Large-scale automated synthesis of human functional neuroimaging data
Tal Yarkoni, Russell A. Poldrack, Thomas E. Nichols, David C. Van Essen, and Tor D. Wager. Nature Methods 8(8): 665–670. doi: 10.1038/nMeth.1635.
PDF A hybrid procedure for detecting global treatment effects in multivariate clinical trials: theory and applications to fMRI studies.
Giorgos Minas, Fabio Rigat, Thomas E. Nichols, John a D Aston, and Nigel Stallard. Statistics in medicine 31(3): 253–268. doi: 10.1002/sim.4395.
PDF Structural brain changes in patients with recurrent major depressive disorder presenting with anxiety symptoms.
Becky Inkster, Anil W Rao, Khanum Ridler, Thomas E. Nichols, Philipp G. Saemann, Dorothee P. Auer, et al. Journal of neuroimaging : official journal of the American Society of Neuroimaging 21(4): 375–82. doi: 10.1111/j.1552-6569.2010.00515.x.
PDF Brain Network Analysis: Separating Cost from Topology Using Cost-Integration
Cedric E. Ginestet, Thomas E. Nichols, Edward T. Bullmore, and Andrew Simmons. PLoS ONE 6(7): e21570. doi: 10.1371/journal.pone.0021570.
PDF Genetic analysis of cortical thickness and fractional anisotropy of water diffusion in the brain
Peter Kochunov, David C. Glahn, Thomas E. Nichols, Anderson M. Winkler, Elliot L. Hong, Henry H Holcomb, et al. Frontiers in neuroscience 5(October): 1–15. doi: 10.3389/fnins.2011.00120.
PDF Meta Analysis of Functional Neuroimaging Data via Bayesian Spatial Point Processes
Jian Kang, Timothy D Johnson, Thomas E. Nichols, and Tor D. Wager. Journal of the American Statistical Association 106(493): 124–134. doi: 10.1198/jasa.2011.ap09735.
PDF Orbitofrontal Connectivity with Resting-State Networks Is Associated with Midbrain Dopamine D3 Receptor Availability.
David M Cole, Christian F. Beckmann, Graham E Searle, Christophe Plisson, Andri C Tziortzi, Thomas E. Nichols, et al. Cerebral cortex. doi: 10.1093/cercor/bhr354.
PDF Network Modelling Methods for FMRI
Stephen M. Smith, Karla L. Miller, Gholamreza Salimi-Khorshidi, Matthew Webster, Christian F. Beckmann, Thomas E. Nichols, et al. NeuroImage 54(2): 875–891. doi: 10.1016/j.neuroimage.2010.08.063.
Books & Chapters
Handbook of fMRI Data Analysis
Russell A. Poldrack, Jeanette A. Mumford, and Thomas E. Nichols. Unknown venue (type=book): 450.
Books & Chapters
PDF Validation and Pilot Application of [18F]FDG-PET in Evaluation of a Metabolic Therapy for Alzheimer's Disease
Sofia Tzimopoulou, Vincent J. Cunningham, Thomas E. Nichols, Graham Searle, Nick P. Bird, Prafull Mistry, et al. Validation and Pilot Application of [18F]FDG-PET in Evaluation of a Metabolic Therapy for Alzheimer's Disease: 627–642. doi: 10.3233/978-1-60750-793-2-627.
2010
Articles
PDF Adjusting the effect of nonstationarity in cluster-based and TFCE inference.
Gholamreza Salimi-Khorshidi, Stephen M. Smith, and Thomas E. Nichols. NeuroImage 54(3): 2006–2019. doi: 10.1016/j.neuroimage.2010.09.088.
PDF Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reduced-rank regression approach.
Maria Vounou, Thomas E. Nichols, and Giovanni Montana. NeuroImage 53(3): 1147–59. doi: 10.1016/j.neuroimage.2010.07.002.
PDF A Multi-Center Randomized Proof-of-Concept Clinical Trial Applying [18F]FDG-PET for Evaluation of Metabolic Therapy with Rosiglitazone XR in Mild to Moderate Alzheimer's Disease
Sofia Tzimopoulou, Vincent J. Cunningham, Thomas E. Nichols, Graham Searle, Nick P. Bird, Prafull Mistry, et al. Journal of Alzheimer's disease 22(4): 1241–56.. doi: 10.3233/JAD-2010-100939.
PDF Everything you never wanted to know about circular analysis, but were afraid to ask.
Nikolaus Kriegeskorte, Martin A. Lindquist, Thomas E. Nichols, Russell A. Poldrack, and Edward Vul. Journal of Cerebral Blood Flow & Metabolism 30(9): 1551–7. doi: 10.1038/jcbfm.2010.86.
PDF Spatiotemporal distribution pattern of white matter lesion volumes and their association with regional grey matter volume reductions in relapsing-remitting multiple sclerosis.
Kerstin Bendfeldt, Jan Ole Blumhagen, Hanspeter Egger, Patrick Loetscher, Niklaus Denier, Pascal Kuster, et al. Human brain mapping 000(October 2009). doi: 10.1002/hbm.20951.
PDF Effect of immunomodulatory medication on regional gray matter loss in relapsing-remitting multiple sclerosis–a longitudinal MRI study.
Kerstin Bendfeldt, Hanspeter Egger, Thomas E. Nichols, Patrick Loetscher, Niklaus Denier, Pascal Kuster, et al. Brain research: 174–82. doi: 10.1016/j.brainres.2010.02.035.
PDF Pathway-based approaches to imaging genetics association studies: Wnt signaling, GSK3beta substrates and major depression.
Becky Inkster, Thomas E. Nichols, Philipp G. Saemann, Dorothee P. Auer, Florian Holsboer, Pierandrea Muglia, et al. NeuroImage 53(3): 908–917. doi: 10.1016/j.neuroimage.2010.02.065.
2009
Articles
PDF Meta-analysis of neuroimaging data: A comparison of image-based and coordinate-based pooling of studies
Gholamreza Salimi-Khorshidi, Stephen M. Smith, John R Keltner, Tor D. Wager, and Thomas E. Nichols. NeuroImage 45(3): 810–823. doi: 10.1016/j.neuroimage.2008.12.039.
PDF Evaluating the consistency and specificity of neuroimaging data using meta-analysis.
Tor D. Wager, Martin A. Lindquist, Thomas E. Nichols, Hedy Kober, and Jared X Van Snellenberg. NeuroImage 45(1 Suppl): S210–21. doi: 10.1016/j.neuroimage.2008.10.061.
PDF Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference
Stephen M. Smith and Thomas E. Nichols. NeuroImage 44(1): 83–98. doi: 10.1016/j.neuroimage.2008.03.061.
PDF Adjusting the neuroimaging statistical inferences for nonstationarity
Gholamreza Salimi-Khorshidi, Stephen M. Smith, and Thomas E. Nichols. Lecture Notes in Computer Science 5761 LNCS(PART 1): 992–999. doi: 10.1007/978-3-642-04268-3_122.
PDF Striatal [11C] dihydrotetrabenazine and [11C] methylphenidate binding in Tourette syndrome
R L Albin, R A Koeppe, K Wernette, W Zhuang, Thomas E. Nichols, M R Kilbourn, et al. Neurology: 1390–1396. doi: 10.1212/WNL.0b013e3181a187dd.
PDF Cluster mass inference via random field theory
Hui Zhang, Thomas E. Nichols, and Timothy D Johnson. Neuroimage 44(1): 51–61. doi: 10.1016/j.neuroimage.2008.08.017.
PDF NeuroImage Anatomically-distinct genetic associations of APOE \epsilon 4 allele load with regional cortical atrophy in Alzheimer ' s disease
Nicola Filippini, Anil Rao, Sally Wetten, Rachel A Gibson, Michael Borrie, Danilo Guzman, et al. NeuroImage 44(3): 724–728. doi: 10.1016/j.neuroimage.2008.10.003.
PDF Simple group fMRI modeling and inference.
Jeanette A Mumford and Thomas E. Nichols. NeuroImage 47(4): 1469–75. doi: 10.1016/j.neuroimage.2009.05.034.
PDF Modeling Inter-Subject Variability in fMRI Activation Location: A Bayesian Hierarchical Spatial Model
Lei Xu, Timothy D Johnson, Thomas E. Nichols, and Derek E Nee. Biometrics 65(4): 1041–1051. doi: 10.1111/j.1541-0420.2008.01190.x.
PDF Association of GSK3 Polymorphisms With Brain Structural Changes in Major Depressive Disorder
Becky Inkster, Thomas E. Nichols, Philipp G. Saemann, Dorothee P. Auer, Florian Holsboer, Pierandrea Muglia, et al. Archives of general psychiatry 66(7): 721–728. doi: 10.1002/bdra.20744.
PDF Commentary on Vul et al.'s (2009) "Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition"
Thomas E. Nichols and Jean-Baptiste Poline. Perspectives on Psychological Science 4(3): 291–293. doi: 10.1111/j.1745-6924.2009.01126.x.
2008
Articles
PDF Guidelines for reporting an fMRI study.
Russell A. Poldrack, Paul C Fletcher, Richard N Henson, Keith J Worsley, Matthew Brett, and Thomas E. Nichols. NeuroImage 40(2): 409–14. doi: 10.1016/j.neuroimage.2007.11.048.
PDF Inferring individual differences in fMRI: finding brain regions with significant within subject correlation
Sumitra Purkayastha, Tor D. Wager, and Thomas E. Nichols. Statistica Sinica: 1483–1500.
PDF Power calculation for group fMRI studies accounting for arbitrary design and temporal autocorrelation.
Jeanette A Mumford and Thomas E. Nichols. NeuroImage 39(1): 261–8. doi: 10.1016/j.neuroimage.2007.07.061.
PDF Optimizing the design and analysis of clinical functional magnetic resonance imaging research studies.
Cameron S Carter, Stephan Heckers, Thomas Nichols, Daniel S Pine, and Stephen Strother. Biological psychiatry 64(10): 842–9. doi: 10.1016/j.biopsych.2008.06.014.
2007
Articles
PDF Acquisition and voxelwise analysis of multi-subject diffusion data with tract-based spatial statistics.
Stephen M. Smith, Heidi Johansen-Berg, Mark Jenkinson, Daniel Rueckert, Thomas E. Nichols, Karla L Miller, et al. Nature protocols 2(3): 499–503. doi: 10.1038/nprot.2007.45.
Books & Chapters
PDF False Discovery Rate procedures
Thomas E. Nichols. False Discovery Rate procedures: 246–252.
PDF Non-parametric procedures
Thomas E. Nichols and A Holmes. Non-parametric procedures: 253–272.
2006
Articles
PDF Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data
Stephen M. Smith, Mark Jenkinson, Heidi Johansen-Berg, Daniel Rueckert, Thomas E. Nichols, Clare E Mackay, et al. Neuroimage 31(4): 1487–1505.
PDF Estimation efficiency and statistical power in arterial spin labeling fMRI
Jeanette A Mumford, Luis Hernandez-Garcia, Gregory R Lee, and Thomas E. Nichols. NeuroImage: 103 – 114. doi: 10.1016/j.neuroimage.2006.05.040.
PDF Non-white noise in fMRI: does modelling have an impact?
Torben E Lund, Kristoffer H Madsen, Karam Sidaros, Wen-Lin Luo, and Thomas E. Nichols. NeuroImage 29(1): 54–66. doi: 10.1016/j.neuroimage.2005.07.005.
PDF Modeling and inference of multisubject fMRI data
Jeanette A Mumford and Thomas E. Nichols. IEEE Engineering in Medicine and Biology Magazine 25(2): 42–51. doi: 10.1109/MEMB.2006.1607668.
PDF Diagnosis of Single-Subject and Group fMRI Data with SPMd
Hui Zhang, Wen-lin Luo, and Thomas E. Nichols. Human Brain Mapping: 442– 451. doi: 10.1002/hbm.20253.
PDF Lesion probability maps of white matter hyperintensities in elderly individuals: results of the Austrian stroke prevention study.
Christian Enzinger, Stephen M. Smith, Franz Fazekas, Gunther Drevin, Stefan Ropele, Thomas E. Nichols, et al. Journal of neurology 253(8): 1064–70. doi: 10.1007/s00415-006-0164-5.
PDF Impact of complex genetic variation in COMT on human brain function.
a Meyer-Lindenberg, Thomas E. Nichols, J H Callicott, J Ding, B Kolachana, J Buckholtz, et al. Molecular psychiatry 11(9): 867–77, 797. doi: 10.1038/sj.mp.4001860.
Books & Chapters
PDF Statistical Parametric Mapping: The Analysis of Functional Brain Images
William D. Penny, Karl J. Friston, John T. Ashburner, Stefan J. Kiebel, and Thomas E. Nichols. Unknown venue (type=book): 656.
2005
Articles
PDF Valid conjunction inference with the minimum statistic
Thomas E. Nichols, Matthew Brett, Jesper Andersson, Tor D. Wager, and Jean-Baptiste Poline. Neuroimage 25(3): 653–660. doi: 10.1016/j.neuroimage.2004.12.005.
PDF A comparison of random field theory and permutation methods for the statistical analysis of MEG data
Dimitrios Pantazis, Thomas E. Nichols, Sylvain Baillet, and Richard M. Leahy. NeuroImage: 383 – 394. doi: 10.1016/j.neuroimage.2004.09.040.
PDF Placebo effects mediated by endogenous opioid activity on mu-opioid receptors.
Jon-Kar Zubieta, Joshua A Bueller, Lisa R Jackson, David J Scott, Yanjun Xu, Robert A Koeppe, et al. The Journal of Neuroscience 25(34): 7754–62. doi: 10.1523/JNEUROSCI.0439-05.2005.
PDF Linkage disequilibrium: ancient history drives the new genetics.
Gonçalo R Abecasis, Debashis Ghosh, and Thomas E. Nichols. Human heredity 59(2): 118–24. doi: 10.1159/000085226.
2004
Articles
PDF Nonstationary cluster-size inference with random field and permutation methods
Satoru Hayasaka, K Luan Phan, Israel Liberzon, Keith J Worsley, and Thomas E. Nichols. NeuroImage 22(2): 676 – 687. doi: 10.1016/j.neuroimage.2004.01.041.
PDF Combining voxel intensity and cluster extent with permutation test framework
Satoru Hayasaka and Thomas E. Nichols. Neuroimage 23(1): 54–63. doi: 10.1016/j.neuroimage.2004.04.035.
In Proceedings
PDF Statistical Surface-Based Morphometry Using a Non-parametric Approach
Dimitrios Pantazis, Richard M. Leahy, Thomas E. Nichols, and Martin Styner. Proceedings IEEE International Symposium on Biomedical Imaging: 1283–1286. doi: 10.1109/ISBI.2004.1398780.
2003
Articles
PDF Switching attention and resolving interference: fMRI measures of executive functions
C Y Sylvester, Tor D. Wager, Steven C Lacey, Luis Hernandez-Garcia, Thomas E. Nichols, E.E. Smith, et al. Neuropsychologia 41(3): 357–370. doi: 10.1016/S0028-3932(02)00167-7.
PDF Validating cluster size inference: random field and permutation methods.
Satoru Hayasaka and Thomas E. Nichols. NeuroImage 20(4): 2343–56. doi: 10.1016/j.neuroimage.2003.08.003.
PDF Spatiotemporal Localization of Significant Activation in MEG using Permutation Tests
Dimitrios Pantazis, Thomas E. Nichols, Sylvain Baillet, and Richard M. Leahy. Lecture Notes in Computer Science: 512–523. doi: 10.1007/978-3-540-45087-0_43.
PDF Temporal Resolution Properties of Dynamic PET Reconstructions
Evren Asma, Thomas E. Nichols, Richard M. Leahy, and A Log-likelihood Functions. Proc. IEEE Nuclear Science Symposium and Medical Imaging Conference: 778–781. doi: 10.1109/NSSMIC.2002.1239438.
PDF Controlling the familywise error rate in functional neuroimaging: a comparative review
Thomas E. Nichols and Satoru Hayasaka. Statistical Methods in Medical Research 12(5): 419–446. doi: 10.1191/0962280203sm341ra.
PDF Optimization of experimental design in fMRI: a general framework using a genetic algorithm
Tor D. Wager and Thomas E. Nichols. Neuroimage 18(2): 293–309. doi: 10.1016/S1053-8119(02)00046-0.
PDF Diagnosis and exploration of massively univariate neuroimaging models
Wen-Lin Luo and Thomas E. Nichols. NeuroImage 19(3): 1014–1032. doi: 10.1016/S1053-8119(03)00149-6.
Books & Chapters
PDF Modules of Working Memory
John Jonides, Ching-Yune C. Sylvester, Steven C. Lacey, Tor D. Wager, Thomas E. Nichols, and Edward Awh. Modules of Working Memory: 113–134. doi: 10.1007/978-3-0348-8030-5_7.
2002
Articles
PDF Statistical analysis of multiplex brain gene expression datasets
A Ossadtchi, V M Brown, A H Khan, S R Cherry, Thomas E. Nichols, Richard M. Leahy, et al. Neurochemical Research 27(10): 1113–1121. doi: 10.1023/A:1020965107124.
PDF Gender differences in patterns of cerebral activation during equal experience of painful laser stimulation.
S W G Derbyshire, Thomas E. Nichols, Anthony Jones, D. W. Townsend, and L Firestone. Journal of Pain 3(5): 4010–4411. doi: 10.1054/jpai.2002.126788.
PDF http://www.fil.ion.ucl.ac.uk/spm/doc/papers/NicholsQiAsmaLeahy.pdf Spatiotemporal Reconstruction of List Mode PET Data
Thomas E. Nichols, J Qi, Evren Asma, and Richard M. Leahy. IEEE Transactions on Medical Imaging 21(4): 396–404. doi: 10.1109/TMI.2002.1000263.
PDF Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate
Christopher R Genovese, Nicole A Lazar, and Thomas E. Nichols. NeuroImage 15(4): 870–878. doi: 10.1006/nimg.2001.1037.
PDF Nonparametric permutation tests for functional neuroimaging: A primer with examples
Thomas E. Nichols and Andrew P Holmes. Human Brain Mapping 15(1): 1–25. doi: 10.1002/hbm.1058.
2001
Articles
PDF Activation of the Medial Prefrontal Cortex and Extended Amygdala by Individual Ratings of Emotional Arousal: An f\MRI\ Study
K Luan Phan, Stephan F Taylor, R C Welsh, L R Decker, D C Noll, Thomas E. Nichols, et al. Biological Psychiatry. doi: 10.1016/S0006-3223(02)01485-3.
PDF 4D PET Image Reconstruction from List Mode Data
Evren Asma, Thomas E. Nichols, and Richard M. Leahy. Proc. IEEE Nuclear Science Symposium and Medical Imaging Conference: 15/57--15/61. doi: 10.1109/NSSMIC.2000.950049.
1999
Articles
PDF Statistical limitations in functional neuroimaging I. Non-inferential methods and statistical models
Karl Magnus Petersson, Thomas E. Nichols, Jean-Baptiste Poline, and Andrew P Holmes. Philosophical Transactions of the Royal Society B: Biological Sciences: 1239–1260. doi: 10.1098/rstb.1999.0477.
PDF Changes in forebrain function from Waking to REM sleep in depression: Preliminary Analyses of [18F]-FDG PET studies
E A Nofzinger, Thomas E. Nichols, D J Kupfer, and R Y Moore. Psychiatry Research: Neuroimaging 91(2): 59–78. doi: 10.1016/S0925-4927(99)00025-6.
PDF Statistical limitations in functional neuroimaging II. Signal detection and statistical inference
Karl Magnus Petersson, Thomas E. Nichols, Jean-Baptiste Poline, and Andrew P Holmes. Philosophical Transactions of the Royal Society B: Biological Sciences 354(354): 1261–1281. doi: 10.1098/rstb.1999.0478.
PDF Comparative Evaluation of \MR\-Based Partial Volume Correction Schemes for \PET\
C C Meltzer, Paul E. Kinahan, P J Greer, Thomas E. Nichols, C Comtat, M N Cantwell, et al. Journal of Nuclear Medicine 40(12): 2053–2065.
In Proceedings
PDF Continuous Time Dynamic PET Imaging Using List Mode Data
Thomas E. Nichols, J Qi, and Richard M. Leahy. Information Processing in Medical Imaging (Lecture Notes in Computer Science): 98–111. doi: 10.1007/3-540-48714-X_8.
1998
Articles
PDF Holmes and Watson on 'Sherlock'
Andrew P Holmes, J D G Watson, and Thomas E. Nichols. Journal of Cerebral Blood Flow & Metabolism 18(6): 697–698. doi: 10.1097/00004647-199806000-00012.
PDF Test-retest variability of positron emission tomography (PET) and [18F]-altanserin for the in vivo imaging of serotonin (5-HT2A) receptors in the human brain
G S Smith, J C Price, B J Lopresti, Y Huang, N Simpson, D. Holt, et al. Synapse: 380–392. doi: 10.1002/(SICI)1098-2396(199812)30:4<380::AID-SYN5>3.0.CO;2-U.
1997
Articles
PDF PET brain mapping study of auditory verbal supraspan memory versus visual fixation in schizophrenia
R Ganguli, C S Carter, Mark a Mintun, J Brar, J T Becker, R Sarma, et al. Biological Psychiatry 41(1): 33–42. doi: 10.1016/S0006-3223(96)00206-5.
PDF Anterior Cingulate Gyrus Dysfunction And Selective Attentional Dysfunction in Schizophrenia: An [15O]-H2O PET Study During Stroop Task Performance
C S Carter, Mark a Mintun, Thomas E. Nichols, and Jonathan D Cohen. American Journal of Psychiatry 154(12): 1670–1675. doi: 10.1176/ajp.154.12.1670.
1996
Articles
PDF Compensatory reallocation of brain resources supporting verbal episodic memory in Alzheimer's disease
J T Becker, Mark a Mintun, K Aleva, M B Wiseman, Thomas E. Nichols, and S T DeKosky. Neurology 46(3): 692–700. doi: 10.1212/WNL.46.3.692.
PDF Functional connectivity in auditory-verbal short-term memory in Alzheimer's disease
A N Herbster, Thomas E. Nichols, M B Wiseman, Mark a Mintun, S T DeKosky, and J T Becker. NeuroImage 4(2): 67–77. doi: 10.1006/nimg.1996.0030.
PDF Anterior Cingulate Gyrus Dysfunction And Attentional Pathology in Schizophrenia
C S Carter, Mark a Mintun, Jonathan D Cohen, Thomas E. Nichols, and M B Wiseman. NeuroImage 3(3,˜2/2): S477. doi: 10.1176/ajp.154.12.1670.
PDF Positron emission tomographic imaging of serotonin activation effects on prefrontal cortex in healthy volunteers
J J Mann, K M Malone, D J Diehl, J Perel, Thomas E. Nichols, and Mark a Mintun. Journal of Cerebral Blood Flow & Metabolism 16(3): 418–426. doi: 10.1097/00004647-199605000-00008.
PDF Alterations in Functional Neuroanatomical Connectivity in Alzheimer's Disease - Positron Emission Tomography of Auditory Verbal Short-Term Memory
J T Becker, Mark a Mintun, K Aleva, M B Wiseman, Thomas E. Nichols, and S T Dekosky. Annals of the New York Academy of Sciences 777(412): 239–242. doi: 10.1111/j.1749-6632.1996.tb34425.x.
In Proceedings
PDF Laser stimulation for pain research
Stuart Clark, Mark R. Dickinson, Terence A. King, Anthony Jones, Andrew Chen, Stuart Derbyshire, et al. Proceedings of SPIE: 197–205. doi: 10.1117/12.229532.
1995
Articles
PDF Comparison of Functional Magnetic Resonance Imaging with Positron Emission Tomography and Magnetoencephalography to Identify the Motor Cortex in a Patient with an Arteriovenous Malformation
S B Baumann, D C Noll, D S Kondziolka, W Schneider, Thomas E. Nichols, Mark a Mintun, et al. Journal of Image Guided Surgery 1(4): 191–197. doi: 10.1002/(SICI)1522-712X(1995)1:4<191::AID-IGS1>3.0.CO;2-5.
1994
Articles
PDF Post-ECT increases in MRI regional T2 relaxation times and their relationship to cognitive side effects: a pilot study
D J Diehl, M S Keshavan, E Kanal, R D Nebes, Thomas E. Nichols, and J S Gillen. Psychiatry Research 54(2): 177–184. doi: 10.1016/0165-1781(94)90005-1.