Daniel H. Wolf

Cognitive Neuroscience · 2012–2020

A researcher in the Science corpus: 8 papers; trusts 14 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 162 citations into it; #5,073 of 10,852 by trust here, #1,346 by citations
• Radiology, Nuclear Medicine and Imaging — 136 citations into it; #1,305 of 3,265 by trust here, #435 by citations
• Computer Vision and Pattern Recognition — 34 citations into it
• Statistical and Nonlinear Physics — 7 citations into it

Whom Daniel H. Wolf trusts overall

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

1. Michael D. Fox
2. Stephen M. Smith
3. Jonathan D. Power
4. Mikail Rubinov
5. Christian F. Beckmann
6. Xi-Nian Zuo
7. Marcus E. Raichle
8. Mark Jenkinson
9. Olaf Sporns
10. Theodore D. Satterthwaite

Who trusts Daniel H. Wolf overall

1. Jonathan D. Power
2. Chaogan Yan
3. César Caballero-Gaudes
4. Theodore D. Satterthwaite
5. Kevin Murphy
6. Xi-Nian Zuo

Papers from Daniel H. Wolf's perspective

Ordered by how strongly the researchers Daniel H. Wolf trusts endorse each paper. Same corpus, a different order for every researcher.

1. The global signal and observed anticorrelated resting state brain networks. (Journal of Neurophysiology)
2. Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
3. Medial prefrontal cortex and self-referential mental activity: Relation to a default mode of brain function (Proceedings of the National Academy of Sciences of the United States of America)
4. Impact of In-Scanner Head Motion on Multiple Measures of Functional Connectivity: Relevance for Studies of Neurodevelopment in Youth (NeuroImage)
5. Complex brain networks: graph theoretical analysis of structural and functional systems
6. Correspondence of the brain's functional architecture during activation and rest
7. Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer’s Disease
8. Prediction of Individual Brain Maturity Using fMRI (Science)
9. Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. (Journal of Neurophysiology)
10. Image‐based method for retrospective correction of physiological motion effects in fMRI: RETROICOR (Magnetic Resonance in Medicine)

Their papers

• Individual Variation in Functional Topography of Association Networks in Youth (2020)
• MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide. (2020) — 356 citations
• Mitigating head motion artefact in functional connectivity MRI (2018) — 302 citations
• Cortical brain abnormalities in 4474 individuals with schizophrenia and 5098 controls via the ENIGMA consortium (2018) — 815 citations
• Benchmarking of participant‐level confound regression strategies for the control of motion artifact in studies of functional connectivity (2017) — 988 citations
• Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium (2015) — 1,151 citations
• Impact of In-Scanner Head Motion on Multiple Measures of Functional Connectivity: Relevance for Studies of Neurodevelopment in Youth (2012) — 1,136 citations
• An Improved Framework for Confound Regression and Filtering for Control of Motion Artifact in the Preprocessing of Resting-State Functional Connectivity Data (2012) — 1,832 citations