Michael N. Hallquist

Cognitive Neuroscience · 2008–2018

A researcher in the Science corpus: 5 papers; trusts 48 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Michael N. Hallquist trusts overall

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

  1. T. Asparouhov
  2. B. Muthén
  3. Yves Rosseel
  4. Stephen M. Smith
  5. Craig K. Enders
  6. Hadley Wickham
  7. Rasmus M. Birn
  8. Tom A. B. Snijders
  9. Santo Fortunato
  10. K. Nylund

Who trusts Michael N. Hallquist overall

  1. Karen Nylund-Gibson
  2. Joshua M. Rosenberg
  3. John Muschelli
  4. A. Choi
  5. Rastko Ciric
  6. Meichen Yu
  7. Patrick N. Beymer
  8. Mary Beth Nebel
  9. Daniel Anderson

Papers from Michael N. Hallquist's perspective

Ordered by how strongly the researchers Michael N. Hallquist trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Image‐based method for retrospective correction of physiological motion effects in fMRI: RETROICOR (Magnetic Resonance in Medicine)
  2. Impact of In-Scanner Head Motion on Multiple Measures of Functional Connectivity: Relevance for Studies of Neurodevelopment in Youth (NeuroImage)
  3. Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. (Journal of Neurophysiology)
  4. White matter development during childhood and adolescence: a cross-sectional diffusion tensor imaging study. (Cerebral Cortex)
  5. Prediction of Individual Brain Maturity Using fMRI (Science)
  6. 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)
  7. Correspondence of the brain's functional architecture during activation and rest
  8. Advances in functional and structural MR image analysis and implementation as FSL.
  9. Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
  10. The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced? (NeuroImage)

Their papers