Larry J. Seidman

Cognitive Neuroscience · 2001–2022

A researcher in the Science corpus: 23 papers; trusts 7 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Larry J. Seidman trusts overall

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

  1. G. Bush
  2. Adam R. Aron
  3. Paul C. Fletcher
  4. J. Sergeant

Who trusts Larry J. Seidman overall

  1. Steven G. Dickstein
  2. Eve M. Valera
  3. Jay N. Giedd
  4. F. X. Castellanos
  5. Katie L Bannon
  6. Stephen V. Faraone
  7. Andrea Berger
  8. Michael P. Milham

Papers from Larry J. Seidman's perspective

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

  1. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images (NeuroImage)
  2. How specific is a deficit of executive functioning for attention-deficit/hyperactivity disorder? (Behavioural Brain Research)
  3. 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)
  4. Developmental trajectories of brain volume abnormalities in children and adolescents with attention-deficit/hyperactivity disorder. (Journal of the American Medical Association (JAMA))
  5. Neuroimaging of cognitive functions in human parietal cortex. (Current Opinion in Neurobiology)
  6. The endophenotype concept in psychiatry: etymology and strategic intentions. (American Journal of Psychiatry)
  7. Stop-signal inhibition disrupted by damage to right inferior frontal gyrus in humans (Nature Neuroscience)
  8. Differential patterns of striatal activation in young children with and without ADHD. (Biological Psychiatry)
  9. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
  10. Dorsal anterior cingulate cortex: A role in reward-based decision making (Proceedings of the National Academy of Sciences of the United States of America)

Their papers