Dustin Scheinost
Cognitive Neuroscience · 2015–2023
A researcher in the Science corpus: 10 papers; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 193 citations into it; #10,263 of 10,852 by trust here, #2,116 by citations
- Radiology, Nuclear Medicine and Imaging — 102 citations into it
- Statistics and Probability — 31 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
Whom Dustin Scheinost trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilker Ünal
- X. Shen
- Stephen M. Smith
- Emily S. Finn
- Ron Kohavi
- David Baehrens
- Michael D. Fox
- Marco Tulio Ribeiro
- Katja Hansen
- Jonathan D. Power
Who trusts Dustin Scheinost overall
Papers from Dustin Scheinost's perspective
Ordered by how strongly the researchers Dustin Scheinost trusts endorse each paper. Same corpus, a different order for every researcher.
- A positive-negative mode of population covariation links brain connectivity, demographics and behavior (Nature Neuroscience)
- Deep Learning
- Time-frequency dynamics of resting-state brain connectivity measured with fMRI (NeuroImage)
- The WU-Minn Human Connectome Project: An Overview
- Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion (NeuroImage)
- Does the brain have a baseline? Why we should be resisting a rest (NeuroImage)
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Disruption of large-scale brain systems in advanced aging. (Neuron)
- An Improved Framework for Confound Regression and Filtering for Control of Motion Artifact in the Preprocessing of Resting-State Functional Connectivity Data (NeuroImage)
- Decoding subject-driven cognitive states with whole-brain connectivity patterns. (Cerebral Cortex)
Their papers
- Functional brain networks reflect spatial and temporal autocorrelation (2023)
- BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis (2020) — 802 citations
- Ten simple rules for predictive modeling of individual differences in neuroimaging (2019) — 346 citations
- A decade of test-retest reliability of functional connectivity: a systematic review and meta-analysis (2019) — 534 citations
- Using connectome-based predictive modeling to predict individual behavior from brain connectivity (2017) — 1,021 citations
- Can brain state be manipulated to emphasize individual differences in functional connectivity? (2017) — 351 citations
- Influences on the Test–Retest Reliability of Functional Connectivity MRI and its Relationship with Behavioral Utility (2017) — 372 citations
- A neuromarker of sustained attention from whole-brain functional connectivity (2015) — 992 citations
- Functional connectome fingerprinting: Identifying individuals based on patterns of brain connectivity (2015) — 2,614 citations
- Functional brain networks reflect spatial and temporal autocorrelation