Beatriz Luna

Cognitive Neuroscience · NeuroImage · 2001–2022

A researcher in the Science corpus: 13 papers; trusts 70 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Beatriz Luna trusts overall

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

  1. Ronald E. Dahl
  2. Takao K. Hensch
  3. L. Spear
  4. Jay N. Giedd
  5. Bruce S. McEwen
  6. Eric I. Knudsen
  7. Jeffrey Jensen Arnett
  8. Douglas Fields
  9. Torkel Klingberg
  10. Laurence Steinberg

Who trusts Beatriz Luna overall

  1. Laurence Steinberg
  2. C. Karatekin
  3. Sarah-Jayne Blakemore
  4. Jason M. Chein
  5. Mark H. Johnson
  6. S. Choudhury
  7. B. Casey
  8. E. P. Shulman
  9. Daniel J. Simmonds
  10. Leah H. Somerville

Papers from Beatriz Luna's perspective

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

  1. An integrative theory of prefrontal cortex function.
  2. Measuring the thickness of the human cerebral cortex from magnetic resonance images. (Proceedings of the National Academy of Sciences of the United States of America)
  3. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
  4. White matter development during childhood and adolescence: a cross-sectional diffusion tensor imaging study. (Cerebral Cortex)
  5. 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)
  6. A hybrid approach to the skull stripping problem in MRI (NeuroImage)
  7. Advances in functional and structural MR image analysis and implementation as FSL.
  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. Synaptic density in human frontal cortex - developmental changes and effects of aging.

Their papers