Karla L. Miller

Cognitive Neuroscience · 2007–2022

A researcher in the Science corpus: 14 papers; trusts 9 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Karla L. Miller trusts overall

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

  1. Stephen M. Smith
  2. Christian F. Beckmann
  3. David Maxwell Chickering
  4. Michael D. Fox
  5. Catie Chang
  6. Peter T. Fox
  7. Alard Roebroeck

Who trusts Karla L. Miller overall

  1. Stephen M. Smith
  2. Olaf Sporns
  3. Michael W. Cole
  4. Hae-Jeong Park
  5. F. X. Castellanos
  6. Elena A. Allen
  7. R. Craddock
  8. Karl J. Friston
  9. Saâd Jbabdi
  10. Robert Leech

Papers from Karla L. Miller's perspective

Ordered by how strongly the researchers Karla L. Miller trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Fast robust automated brain extraction
  2. Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data (NeuroImage)
  3. Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging (PLoS ONE)
  4. Multiband Multislice GE-EPI at 7 Tesla, With 16-Fold Acceleration Using Partial Parallel Imaging With Application to High Spatial and Temporal Whole-Brain FMRI (Magnetic Resonance in Medicine)
  5. The Human Connectome: A Structural Description of the Human Brain
  6. Mapping the Structural Core of Human Cerebral Cortex (PLoS Biology)
  7. Temporally-independent functional modes of spontaneous brain activity (Proceedings of the National Academy of Sciences of the United States of America)
  8. Impact of In-Scanner Head Motion on Multiple Measures of Functional Connectivity: Relevance for Studies of Neurodevelopment in Youth (NeuroImage)
  9. Functional connectivity in the resting brain: A network analysis of the default mode hypothesis (Proceedings of the National Academy of Sciences of the United States of America)
  10. Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI (Proc. Natl. Acad. Sci. USA)

Their papers