Keith J. Worsley

Cognitive Neuroscience · 1994–2010

A researcher in the Science corpus: 15 papers; trusts 12 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 36 citations into it; #2,805 of 10,852 by trust here, #1,021 by citations
• Radiology, Nuclear Medicine and Imaging — 16 citations into it; #589 of 3,265 by trust here, #622 by citations
• Statistics and Probability — 10 citations into it
• Geometry and Topology — 7 citations into it; #3,706 of 7,422 by trust here, #1,249 by citations
• Applied Mathematics — 6 citations into it
• Artificial Intelligence — 6 citations into it
• Biophysics — 5 citations into it

Whom Keith J. Worsley trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Karl J. Friston
2. Jonathan E. Taylor
3. Robert J. Adler
4. ChrisD . Frith
5. Alan C. Evans
6. John Ashburner
7. Thomas E. Nichols
8. Jay N. Giedd
9. Anthony Randal McIntosh
10. Andrew Holmes

Who trusts Keith J. Worsley overall

1. Shinichi Nakajima
2. Karl J. Friston
3. Martin A. Lindquist
4. Marieke Jepma
5. Alan C. Evans
6. Christos Davatzikos
7. W. D. Penny
8. Ze Wang
9. Serge O. Dumoulin
10. Joyce L. Chen

Papers from Keith J. Worsley's perspective

Ordered by how strongly the researchers Keith J. Worsley trusts endorse each paper. Same corpus, a different order for every researcher.

1. Voxel-based morphometry--the methods.
2. Colored noise and computational inference in neurophysiological (fMRI) time series analysis: Resampling methods in time and wavelet domains (Human Brain Mapping)
3. Unified univariate and multivariate random field theory. (NeuroImage)
4. Spatial pattern analysis of functional brain images using partial least squares.
5. Functional imaging of neural responses to expectancy and experience of monetary gains and losses. (Neuron)
6. Statistical parametric maps in functional imaging: A general linear approach
7. A nonparametric method for automatic correction of intensity nonuniformity in MRI data
8. Characterizing dynamic brain responses with fMRI: a multivariate approach.
9. Dissociable Neural Responses in Human Reward Systems (Journal of Neuroscience)
10. Estimating the Dimension of a Model

Their papers

• A Unified Statistical Approach to Deformation-Based Morphometry (2001) — 456 citations
• Guidelines for reporting an fMRI study (2008) — 568 citations
• Topological FDR for neuroimaging (2010) — 476 citations
• SurfStat: A Matlab toolbox for the statistical analysis of univariate and multivariate surface and volumetric data using linear mixed effects models and random field theory (2009) — 309 citations
• Random fields of multivariate test statistics, with applications to shape analysis (2008) — 100 citations
• Mapping anatomical correlations across cerebral cortex (MACACC) using cortical thickness from MRI (2006) — 540 citations
• Unified univariate and multivariate random field theory. (2004) — 405 citations
• Functional abnormalities in symptomatic concussed athletes: an fMRI study (2004) — 363 citations
• Unmyelinated tactile afferents signal touch and project to insular cortex (2002) — 1,008 citations
• Multivariate Model Specification for fMRI Data (2002) — 66 citations
• Statistical analysis of activation images (2001) — 931 citations
• Wisconsin Card Sorting Revisited: Distinct Neural Circuits Participating in Different Stages of the Task Identified by Event-Related Functional Magnetic Resonance Imaging (2001) — 948 citations
• A General Statistical Analysis for fMRI Data (2000) — 730 citations
• Characterizing the response of PET and fMRI data using multivariate linear models. (1997)
• Statistical parametric maps in functional imaging: A general linear approach (1994)