Amanda V. Utevsky

Cognitive Neuroscience · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amanda V. Utevsky trusts overall

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

  1. Stephen M. Smith
  2. Christian F. Beckmann
  3. Michael D. Fox
  4. Thomas E. Nichols
  5. Karl J. Friston
  6. Nicola Filippini
  7. Marcus E. Raichle
  8. Abraham Z. Snyder
  9. Michael D. Greicius
  10. Peter Fransson

Papers from Amanda V. Utevsky's perspective

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

  1. Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
  2. 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)
  3. Probabilistic independent component analysis for functional magnetic resonance imaging (IEEE Transactions on Medical Imaging)
  4. Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer’s Disease
  5. Distinct patterns of brain activity in young carriers of the APOE-ε4 allele (Proceedings of the National Academy of Sciences of the United States of America)
  6. Fast robust automated brain extraction
  7. Investigations into resting-state connectivity using independent component analysis (Philosophical Transactions of the Royal Society B: Biological Sciences)
  8. Correspondence of the brain's functional architecture during activation and rest
  9. Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. (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