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Stephan F. Taylor

Researcher at University of Michigan

Publications -  201
Citations -  18385

Stephan F. Taylor is an academic researcher from University of Michigan. The author has contributed to research in topics: Cognition & Prefrontal cortex. The author has an hindex of 58, co-authored 179 publications receiving 16611 citations. Previous affiliations of Stephan F. Taylor include United States Department of Veterans Affairs & Veterans Health Administration.

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Neural correlates of social and nonsocial emotions: An fMRI study

TL;DR: It is highlighted that sociality has a key role in processing emotional valence, which may have implications for patient populations with social and emotional deficits.
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Isolation of Specific Interference Processing in the Stroop Task: PET Activation Studies

TL;DR: For instance, this paper found that the left inferior frontal gyrus reflected processing more specific to the Stroop task, while deactivation in the right superior temporal gyrus was consistent with more nonspecific processing.
Journal Article

Automated Detection of the Intercommissural Line for Stereotactic Localization of Functional Brain Images

TL;DR: The automated detection of the AC-PC line in a PET study enables accurate stereotactic localization of functional signals without the need for additional anatomical imaging and provides a basis for objective and reproducible intersubject comparison.
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Corticolimbic blood flow in posttraumatic stress disorder during script-driven imagery

TL;DR: Trauma-specific patterns may represent potential compensatory changes to traumatic reminders, while patterns observed only in the PTSD group may reflect neural substrates specific to PTSD pathophysiology.
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Meta-analysis of functional neuroimaging studies of emotion perception and experience in schizophrenia.

TL;DR: Processing emotional stimuli, schizophrenia patients show reduced activation in areas engaged by emotional stimulus, although in some conditions, schizophrenic patients exhibit increasedactivation in areas outside those traditionally associated with emotion, possibly representing compensatory processing.