Sarah Durston

Cognitive Neuroscience · 2000–2017

A researcher in the Science corpus: 9 papers; trusts 13 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Sarah Durston trusts overall

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

  1. Bruce Fischl
  2. B. Casey
  3. Peter F. Liddle
  4. Leslie G. Ungerleider
  5. Silvia A. Bunge
  6. Kathleen M. Thomas
  7. Elizabeth R. Sowell
  8. Florent Ségonne
  9. Martin Reuter
  10. Denis Le Bihan

Who trusts Sarah Durston overall

  1. B. Casey
  2. Leah H. Somerville
  3. Laurence Steinberg
  4. J. Best
  5. Christopher D. Chambers
  6. Matthew Botvinick
  7. Stewart H. Mostofsky
  8. Todd A. Hare
  9. Nim Tottenham
  10. Jared M. Novick

Papers from Sarah Durston's perspective

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

  1. 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)
  2. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
  3. Neuroscience of attention-deficit/hyperactivity disorder: the search for endophenotypes (Nature Reviews Neuroscience)
  4. The Feasibility of a Common Stereotactic Space for Children and Adults in fMRI Studies of Development (NeuroImage)
  5. Event‐related fMRI study of response inhibition (Human Brain Mapping)
  6. A hybrid approach to the skull stripping problem in MRI (NeuroImage)
  7. How specific is a deficit of executive functioning for attention-deficit/hyperactivity disorder? (Behavioural Brain Research)
  8. Dissociable Contributions of Prefrontal and Parietal Cortices to Response Selection (NeuroImage)
  9. Intellectual ability and cortical development in children and adolescents (Nature)
  10. Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex (IEEE Transactions on Medical Imaging)

Their papers