Kai Hwang

Cognitive Neuroscience · Journal of Neuroscience · 2013–2023

A researcher in the Science corpus: 13 papers; trusts 54 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 281 citations into it; #2,162 of 10,852 by trust here, #287 by citations
• Radiology, Nuclear Medicine and Imaging — 64 citations into it
• Developmental Neuroscience — 47 citations into it; #319 of 405 by trust here, #28 by citations
• Cellular and Molecular Neuroscience — 35 citations into it
• Developmental and Educational Psychology — 8 citations into it
• Statistics and Probability — 8 citations into it
• Molecular Biology — 7 citations into it
• Signal Processing — 7 citations into it

Whom Kai Hwang trusts overall

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

1. S. M. Sherman
2. Mark Newman
3. Olaf Sporns
4. Roger Guimerà
5. Jonathan D. Power
6. Martin Rosvall
7. Yashar Behzadi
8. Angela R. Laird
9. Stephen M. Smith
10. Santo Fortunato

Who trusts Kai Hwang overall

1. Justin Riddle
2. Mattia F. Pagnotta
3. Xitong Chen
4. Stephanie C. Leach
5. F. Frohlich
6. James M. Shine
7. M. D'esposito
8. Dillan Cellier
9. John Muschelli

Papers from Kai Hwang's perspective

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

1. Complex brain networks: graph theoretical analysis of structural and functional systems
2. Correspondence of the brain's functional architecture during activation and rest
3. Image‐based method for retrospective correction of physiological motion effects in fMRI: RETROICOR (Magnetic Resonance in Medicine)
4. Predicting human resting-state functional connectivity from structural connectivity (Proceedings of the National Academy of Sciences of the United States of America)
5. Prediction of Individual Brain Maturity Using fMRI (Science)
6. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion (NeuroImage)
7. Impact of In-Scanner Head Motion on Multiple Measures of Functional Connectivity: Relevance for Studies of Neurodevelopment in Youth (NeuroImage)
8. Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. (Journal of Neurophysiology)
9. Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
10. Advances in functional and structural MR image analysis and implementation as FSL.

Their papers

• The impact of the human thalamus on brain-wide information processing (2023)
• Focal neural perturbations reshape low-dimensional trajectories of brain activity supporting cognitive performance (2022)
• Thalamocortical contributions to cognitive task activity (2022)
• Thalamocortical contributions to working memory processes during the n-back task (2022)
• Dynamics of Hierarchical Task Representations (2022) — 16 citations
• The development of theta and alpha neural oscillations from ages 3 to 24 years (2021) — 192 citations
• Neuropsychological evidence of multi-domain network hubs in the human thalamus (2021)
• Distinct Oscillatory Dynamics Underlie Different Components of Hierarchical Cognitive Control (2020) — 47 citations
• Causal Evidence for the Role of Neuronal Oscillations in Top-Down and Bottom-Up Attention (2019) — 66 citations
• The Human Intraparietal Sulcus Modulates Task-Evoked Functional Connectivity. (2019) — 14 citations
• The Human Thalamus Is an Integrative Hub for Functional Brain Networks (2016) — 553 citations
• The Contribution of Network Organization and Integration to the Development of Cognitive Control (2015)
• The Nuisance of Nuisance Regression: Spectral Misspecification in a Common Approach to Resting-State fMRI Preprocessing Reintroduces Noise and Obscures Functional Connectivity (2013) — 715 citations