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Photo of Scott Grafton

Scott Grafton

ICB Cognitive Neuroscience Co-Leader
Bedrosian-Coyne Presidential Chair, Neuroscience
Director, Brain Imaging Center
Distinguished Professor
Psychological & Brain Sciences
UC Santa Barbara
Phone:
+1 805-975-5272
Email:
grafton@psych.ucsb.edu
Website:
Website

Research Focus Areas

Research Interests

Characterize the neural substrates of observed or executed goal-oriented action. Use of fMRI and EEG measures of brain activity to predict and augment motor performance and to accelerate learning.

News

Displaying 21 - 40 of 79

ICB Supported Publications

Subjective value then confidence in human ventromedial prefrontal cortex

Allison D. Shapiro, Scott T. Grafton
PLoS ONE,
10.1371/journal.pone.0225617

Estimating localized complexity of white-matter wiring with GANs

Haraldur T. Hallgrímsson, Richika Sharan, Scott T. Grafton, Ambuj K. Singh.
Medical Imaging Meets NeuroIPS,
arxiv.org/abs/1910.04868v2

Finding maximally disconnected subnetworks with shortest path tractography

Clint Greene, Matthew Cieslak, Lukas J. Volz, Lukas Hensel, Christian Grefkes, Ken Rose, Scott T. Grafton
Neurolmage: Clinical,
10.1016/j.nicl.2019.101903

A Minimum Free Energy Model of Motor Learning

B. A. Mitchell, N. Lauharatanahirun, J. O. Garcia, N. Wymbs, S. Grafton, J. M. Vettel and L. R. Petzold
Neural Computation,
10.1162/neco_a_01219

Optimal Diffusion Tensor Restoration

Clint Greene, Kate Revill, Cathrin Buetefisch, Ken Rose and Scott Grafton
Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshop,

Limiting motor skill knowledge via incidental training protects against choking under pressure

Taraz G. Lee, Daniel E. Acuña, Konrad P. Kording and Scott T. Grafton
Psychonomic Bulletin & Review,
10.3758/s13423-018-1486-x

Quantifying rapid changes in cardiovascular state with a moving ensemble average

Matthew Cieslak, William S. Ryan, Viktoriya Babenko, Hannah Erro, Zoe M. Rathbun, Wendy Meiring, Scott T. Grafton
Psychophisology,
10.1111/psyp.13018

Improving resolution of dynamic communities in human brain networks through targeted node removal

Kimberly J. Schlesinger, Benjamin O. Turner, Scott T. Grafton, Michael B. Miller and Jean M. Carlson
PLOS One,
10.1371/journal.pcbi.1006001

Spatial coherence of oriented white matter microstructure: Applications to white matter regions associated with genetic similarity

Haraldur T. Hallgrímsson, Matthew Cieslak, Luca Foschini, Scott T. Grafton and Ambuj K. Singh
NeuroImage,
10.1016/j.neuroimage.2018.01.050

The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure

Shi Gu, Matthew Cieslak, Benjamin Baird, Sarah F. Muldoon, Scott T. Grafton, Fabio Pasqualetti and Danielle S. Bassett
Scientific Reports,
10.1038/s41598-018-20123-8

Individual differences in compliance and agreement for sleep logs and wrist actigraphy: A longitudinal study of naturalistic sleep in healthy adults

Steven M. Thurman, Nick Wasylyshyn, Heather Roy, Gregory Lieberman, Javier O. Garcia, Alex Asturias, Gold N. Okafor, James C. Elliott, Barry Giesbrecht, Scott T. Grafton, Sara C. Mednick and Jean M. Vettel
PLOS One,
10.1371/ journal.pone.0191883

Predicting future learning from baseline network architecture

Marcelo G. Mattar, Nicholas F. Wymbs, Andrew S. Bock, Geoffrey K. Aguirre, Scott T. Grafton and Danielle S. Bassett
NeuroImage,
10.1016/j.neuroimage.2018.01.037

Spectral mapping of brain functional connectivity from diffusion imagining

"Cassiano O. Becker, Sérgio Pequito, George J. Pappas, Michael B. Miller, Scott T. Grafton, Danielle S. Bassett and Victor M. Preciado"
Scientific Reports,
10.1038/s41598-017-18769-x

Analytic tractography: A closed-form solution for estimating local white matter connectivity with diffusion MRI

Matthew Cieslak, Tegan Brennan, Wendy Meiring, Lukas J. Volz, Clint Greene, Alexander Asturias, Subhash Suri and Scott T. Grafton
NeuroImage,
10.1016/j.neuroimage.2017.12.039

Clustering Brain-Network Time Series by Riemannian Geometry

Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah F. Muldoon, Henry E. Baidoo-Williams, Jean M. Vettel, Matthew Cieslak and Scott T. Grafton
IEEE Transactions on Signal and Information Processing over Networks,
10.1109/TSIPN.2017.2774504

Effect of different spatial normalization approaches on tractography and structural brain networks

Clint Greene, Matt Cieslak and Scott T. Grafton
Network Neuroscience,
10.1162/netn_a_00035

Sensitivity analysis of human brain structural network construction

Kuang Wei, Matthew Cieslak, Clint Greene, Scott T. Grafton and Jean M. Carlson
Network Neuroscience,
10.1162/NETN_a_00025

Learning about learning: Mining human brain sub-network biomarkers from fMRI data

Petko Bogdanov, Nazli Dereli, Xuan-Hong Dang, Danielle S. Bassett, Nicholas F. Wymbs, Scott T. Grafton and Ambuj K. Singh
PLOS One,
10.1371/journal.pone.0184344

A probabilistic atlas of fiber crossings for variability reduction of anisotropy measures

Lukas J. Volz, Matt Cieslak and Scott T. Grafton
Brain Structure and Functions,
10.1007/s00429-017-1508-x

Harm to self outweighs benefit to others in moral decision making

Lukas J. Volz, B. Locke Welborna, Matthias S. Gobela, Michael S. Gazzanigaa and Scott T. Grafton
PNAS,
10.1073/pnas.1706693114
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