Optimized EPI for fMRI studies of the orbitofrontal cortex

By Ralf Deichmann, J. Gottfried, Chloe Hutton, Robert Turner. NeuroImage, 2003

852 citations recorded by the source corpus.

Subfields: Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/0434da955cd28bc8461e0e078133103e1a84f4ff

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In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Inflammation Causes Mood Changes Through Alterations in Subgenual Cingulate Activity and Mesolimbic Connectivity (2009, neutral): “Slices were tilted −30° from the intercommissural plane to reduce orbitofrontal dropout due to susceptibility artifact from frontal sinuses (25).”
A specific role for posterior dorsolateral striatum in human habit learning (2009, methodology): “Each image was acquired in an oblique orientation of 30 to the anterior commissure–posterior commissure (AC–PC) axis, which reduces signal dropout in the ventral prefrontal cortex relative to AC–PC aligned images (Deichmann et al., 2003). ª The Authors (2009).”
Modulation of aesthetic value by semantic context: An fMRI study (2009, neutral): “The EPI sequence was optimized in order to reduce signal drop-out in OFC (Deichmann et al., 2003).”
The Neural Substrate of Human Empathy: Effects of Perspective-taking and Cognitive Appraisal (2007, methodology): “The influence of in-plane susceptibility gradients in orbito-frontal regions was reduced by orienting image slices according to recommendations by Deichmann et al. (2003) .”
The impact of T1 vs EPI spatial normalization templates for fMRI data analyses (2017, result): “Signal dropout is of course another issue that disproportionally affects EPI data relative to T1 data [Deichmann et al., 2003; Wastling and Barker, 2015].”
Tracking the Emergence of Conceptual Knowledge during Human Decision Making (2009, neutral): “a specialized sequence to minimize signal dropout in the medial temporal lobe ( Deichmann et al., 2003 ).”
Social and monetary reward learning engage overlapping neural substrates. (2012, methodology): “To optimize signal in the OFC, we acquired slices in an oblique orientation of 30 o to the anterior commissure–posterior commissure line (Deichmann et al., 2003) and used an eight-channel phased array head coil.”
Activity in the human brain predicting differential heart rate responses to emotional facial expressions (2005, methodology): “Slices were acquired to provide whole brain coverage in an oblique orientation 308 to the anterior– posterior commissural line to optimize sensitivity to orbitofrontal cortex and medial temporal lobes (Deichmann et al., 2003).”
Anterior cingulate activity during error and autonomic response (2005, background): “H.D. Critchley et al. / NeuroImage 27 (2005) 885 – 895 887 including orbitofrontal and medial temporal lobe and periventricular regions traditionally prone to dropout or distortion (Deichmann et al., 2003).”
States versus Rewards: Dissociable neural prediction error signals underlying model-based and model-free reinforcement learning (2010, background): “Slice orientation was tilted −30° from the line connecting the anterior and posterior commissure to alleviate signal drop out in the orbitofrontal cortex (Deichmann et al., 2003).”
Temporal difference models describe higher-order learning in humans (2004, background): “5 tesla Siemens Sonata magnetic resonance scanner (imaging parameters: 280 volumes; 2 mm slice thickness; 1 mm inter-slice gap; tilted plane acquisition sequenc”
Anxiety Reduction through Detachment: Subjective, Physiological, and Neural Effects (2005, background): “These parameters produced EPI images in which signal dropout from susceptibility artifact was restricted to far caudal OFC, leaving the remaining sectors of OFC intact ( Deichmann, Gottfried, Hutton, & Turner, 2003 ).”
Dissociating Valence of Outcome from Behavioral Control in Human Orbital and Ventral Prefrontal Cortices (2003, methodology): “We used a special sequence designed to optimize functional sensitivity in the OFC and medial temporal lobes (Deichmann et al., 2003).”