Adam P. Baker
Cognitive Neuroscience · 2014–2016
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 88 citations into it; #4,895 of 10,852 by trust here, #4,716 by citations
- Radiology, Nuclear Medicine and Imaging — 34 citations into it
- Cellular and Molecular Neuroscience — 13 citations into it
Whom Adam P. Baker trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stephen M. Smith
- Marcus E. Raichle
- Martin A. Lindquist
- Christian F. Beckmann
- Vince D. Calhoun
- Joerg F. Hipp
- Matthew J. Brookes
- Nikos K. Logothetis
- Karla L. Miller
- Gustavo Deco
Who trusts Adam P. Baker overall
- Diego Vidaurre
- Joana Cabral
- Gustavo Deco
- Morten L. Kringelbach
- Giles L. Colclough
- Mark William Woolrich
- Stephen M. Smith
- Michael Breakspear
Papers from Adam P. Baker's perspective
Ordered by how strongly the researchers Adam P. Baker trusts endorse each paper. Same corpus, a different order for every researcher.
- Mapping the Structural Core of Human Cerebral Cortex (PLoS Biology)
- Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
- Electrophysiological correlates of the brain's intrinsic large-scale functional architecture (Proceedings of the National Academy of Sciences of the United States of America)
- Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI (Proc. Natl. Acad. Sci. USA)
- A default mode of brain function.
- Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer’s Disease
- Correspondence of the brain's functional architecture during activation and rest
- Electrophysiological signatures of resting state networks in the human brain (Proceedings of the National Academy of Sciences of the United States of America)
- Time-frequency dynamics of resting-state brain connectivity measured with fMRI (NeuroImage)
- Predicting human resting-state functional connectivity from structural connectivity (Proceedings of the National Academy of Sciences of the United States of America)
Their papers
- Spectrally resolved fast transient brain states in electrophysiological data (2016) — 381 citations
- Exploring mechanisms of spontaneous functional connectivity in MEG: How delayed network interactions lead to structured amplitude envelopes of band-pass filtered oscillations (2014) — 299 citations
- Fast transient networks in spontaneous human brain activity (2014) — 549 citations