Brian T. Quinn
Cognitive Neuroscience · 2004–2011
A researcher in the Science corpus: 9 papers; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 63 citations into it; #6,380 of 10,852 by trust here, #887 by citations
- Radiology, Nuclear Medicine and Imaging — 45 citations into it; #1,152 of 3,265 by trust here, #211 by citations
- Geometry and Topology — 9 citations into it
- Behavioral Neuroscience — 6 citations into it
- Biophysics — 5 citations into it
Whom Brian T. Quinn trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Brian T. Quinn overall
Papers from Brian T. Quinn's perspective
Ordered by how strongly the researchers Brian T. Quinn trusts endorse each paper. Same corpus, a different order for every researcher.
- Measuring the thickness of the human cerebral cortex from magnetic resonance images. (Proceedings of the National Academy of Sciences of the United States of America)
- Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis (NeuroImage)
- A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual… (NeuroImage)
- Molecular, Structural, and Functional Characterization of Alzheimer's Disease: Evidence for a Relationship between Default Activity, Amyloid, and Memory (Journal of Neuroscience)
- Differential vulnerability of anterior white matter in nondemented aging with minimal acceleration in dementia of the Alzheimer type: evidence from diffusion tensor imaging. (Cerebral Cortex)
- An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
- Mapping cortical change across the human life span (Nature Neuroscience)
- Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain (NeuroImage)
- Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
- Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI. (NeuroImage)
Their papers
- Individualized localization and cortical surface-based registration of intracranial electrodes (2011)
- Prolonged institutional rearing is associated with atypically larger amygdala volume and difficulties in emotion regulation (2010) — 853 citations
- MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: Reliability effects of scan sessions, acquisition sequences, data analyses, scanner upgrade, scanner vendors and field strengths (2009) — 579 citations
- REGIONAL WHITE MATTER VOLUME DIFFERENCES IN NONDEMENTED AGING AND ALZHEIMER’S DISEASE (2008) — 312 citations
- Detection of cortical thickness correlates of cognitive performance: Reliability across MRI scan sessions, scanners, and field strengths (2008) — 305 citations
- An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (2006) — 13,059 citations
- Effects of age on volumes of cortex, white matter and subcortical structures. (2005) — 660 citations
- Meditation experience is associated with increased cortical thickness (2005) — 1,707 citations
- Sequence-independent segmentation of magnetic resonance images. (2004) — 2,207 citations