Richard C. Reynolds
Cognitive Neuroscience · 2016–2019
A researcher in the Science corpus: 3 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 82 citations into it
- Radiology, Nuclear Medicine and Imaging — 62 citations into it
- Experimental and Cognitive Psychology — 9 citations into it
- Cardiology and Cardiovascular Medicine — 7 citations into it
- Atomic and Molecular Physics, and Optics — 5 citations into it
Whom Richard C. Reynolds trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rasmus M. Birn
- Michael D. Fox
- Joshua Carp
- Mark Jenkinson
- Gary H. Glover
- Jonathan D. Power
- Abraham Z. Snyder
- Theodore D. Satterthwaite
- Kevin Murphy
- Stephen M. Smith
Papers from Richard C. Reynolds's perspective
Ordered by how strongly the researchers Richard C. Reynolds trusts endorse each paper. Same corpus, a different order for every researcher.
- Image‐based method for retrospective correction of physiological motion effects in fMRI: RETROICOR (Magnetic Resonance in Medicine)
- The global signal and observed anticorrelated resting state brain networks. (Journal of Neurophysiology)
- Correspondence of the brain's functional architecture during activation and rest
- Impact of In-Scanner Head Motion on Multiple Measures of Functional Connectivity: Relevance for Studies of Neurodevelopment in Youth (NeuroImage)
- Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging (PLoS ONE)
- The Influence of Head Motion on Intrinsic Functional Connectivity MRI (NeuroImage)
- An Improved Framework for Confound Regression and Filtering for Control of Motion Artifact in the Preprocessing of Resting-State Functional Connectivity Data (NeuroImage)
- Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses (Nature Neuroscience)
- Anticorrelations in resting state networks without global signal regression (NeuroImage)
- The human brain is intrinsically organized into dynamic, anticorrelated functional networks. (Proceedings of the National Academy of Sciences of the United States of America)
Their papers
- Variability in the analysis of a single neuroimaging dataset by many teams (2019) — 901 citations
- FMRI Clustering in AFNI: False-Positive Rates Redux (2017) — 757 citations
- Methods for cleaning the BOLD fMRI signal (2016) — 530 citations