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Fingerprint Dive into the research topics where Martin Lindquist is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 6 Similar Profiles
Magnetic Resonance Imaging Medicine & Life Sciences
Brain Medicine & Life Sciences
Neuroimaging Medicine & Life Sciences
Functional Magnetic Resonance Imaging Mathematics
Pain Medicine & Life Sciences
Functional Neuroimaging Medicine & Life Sciences
Prefrontal Cortex Medicine & Life Sciences
Research Personnel Medicine & Life Sciences

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Research Output 2001 2019

A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis

Mejia, A. F., Yue, Y. R., Bolin, D., Lindgren, F. & Lindquist, M., Jan 1 2019, In : Journal of the American Statistical Association.

Research output: Contribution to journalArticle

Functional Magnetic Resonance Imaging
Data analysis
Spatial Model
Bayesian Model
Modeling

Differential Poststroke Motor Recovery in an Arm Versus Hand Muscle in the Absence of Motor Evoked Potentials

Schambra, H. M., Xu, J., Branscheidt, M., Lindquist, M., Uddin, J., Steiner, L., Hertler, B., Kim, N., Berard, J., Harran, M. D., Cortes, J. C., Kitago, T., Luft, A., Krakauer, J. & Celnik, P. A., Jan 1 2019, In : Neurorehabilitation and neural repair.

Research output: Contribution to journalArticle

Motor Evoked Potentials
Arm
Hand
Upper Extremity
Pyramidal Tracts

Emerging shifts in neuroimaging data analysis in the era of “big data”

Bzdok, D., Schulz, M. A. & Lindquist, M., Jan 1 2019, Personalized Psychiatry: Big Data Analytics in Mental Health. Springer International Publishing, 1 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Neuroimaging
Imaging techniques
Brain
Positron emission tomography
Costs and Cost Analysis

Fatigue induces long-lasting detrimental changes in motor-skill learning

Branscheidt, M., Kassavetis, P., Anaya, M., Rogers, D., Huang, H. D., Lindquist, M. & Celnik, P. A., Mar 5 2019, In : eLife. 8

Research output: Contribution to journalArticle

Open Access
Motor Skills
Fatigue
Learning
Fatigue of materials
Physical Exertion

Improved state change estimation in dynamic functional connectivity using hidden semi-Markov models

Shappell, H., Caffo, B. S., Pekar, J. J. & Lindquist, M., May 1 2019, In : NeuroImage. 191, p. 243-257 15 p.

Research output: Contribution to journalArticle

Magnetic Resonance Imaging
Brain
Connectome
Brain Diseases
Anxiety