gradient echo, echo-planar imaging (epi) sequences (Siemens AG)
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Siemens AG
gradient echo, echo-planar imaging (epi) sequences
Gradient Echo, Echo Planar Imaging (Epi) Sequences, supplied by Siemens AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/gradient-echo+epi+sequence/gradient+echo+planar+image++epi++acquisition/pm40517954-95-4-13
Average 90 stars, based on 1 article reviews
Gradient Echo, Echo Planar Imaging (Epi) Sequences, supplied by Siemens AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/gradient-echo+epi+sequence/gradient+echo+planar+image++epi++acquisition/pm40517954-95-4-13
Average 90 stars, based on 1 article reviews
gradient echo, echo-planar imaging (epi) sequences - by Bioz Stars,
2026-11
90/100 stars
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Magnetic Resonance Imaging:Article Title: Correspondence of functional connectivity gradients across human isocortex, cerebellum, and hippocampus Article Snippet: Briefly, this dataset includes 1139 participants ( M age = 21.24, SD age = 2.70, 467 males, 672 females) who had undergone one Article Title: Shift-invariant rank-(L, L, 1, 1) BTD with 3D spatial pooling and orthonormalization: Application to multi-subject fMRI data Article Snippet: The rank-(L, L, 1, 1) block term decomposition (BTD) model shows better separation performance for multisubject fMRI data by preserving the high-way structure of fMRI data than canonical polyadic decomposition (CPD).. However, multi-subject fMRI data are noisy and have high spatiotemporal variability.. To address these limitations, this paper proposes a novel 3D weighted spatial pooling preprocessing that compresses and smooths multi-subject fMRI data and assigns a higher weight to in-brain voxels but a lower weight to out-brain voxels. Article Title: Estimating dynamic individual coactivation patterns based on densely sampled resting-state fMRI data and utilizing it for better subject identification. Article Snippet: As a complex dynamic system, the brain exhibits spatially organized recurring patterns of activity over time.. Coactivation patterns (CAPs), which analyzes data from each single frame, have been utilized to detect transient brain activity states recently.. However, previous CAP analyses have been conducted at the group level, which might neglect meaningful individual differences. Article Title: The role of right prefrontal and medial cortex in response inhibition: interfering with action restraint and action cancellation using transcranial magnetic brain stimulation. Article Snippet: Previous to their participation in the current experiment, all participants underwent structural (high-resolution T1weighted MP-RAGE, isotropic voxel resolution 1 × 1 × 1 mm3, 192 sagittal slices) and functional whole-brain (gradient-echo EPI sequence, repetition time= 1500msec, echo time = 28 msec, field of view = 224 mm, flip angle = 71°, matrix = 64 × 64, slice thickness = 3.5 mm, distance factor = 10%, 458 volumes per run) imaging in a Article Title: FKBP5and emotional neglect interact to predict individual differences in amygdala reactivity Article Snippet: In a similar fashion to the Haploview generated haplotype, subjects were categorized based on the presence of the TGCC haplotype (i.e. 0, 1 or 2 copies), which was comprised of ‘non-risk’ alleles (Table 1). fMRI acquisition parameters Blood oxygen level-dependent (BOLD) fMRI data were acquired with a gradient-echo EPI sequence (TR/TE = 2000/25 milliseconds, FOV = 20 cm, matrix = 64 × 64) covering 34 interleaved 3-mm thick axial slices on a Article Title: Correspondence of functional connectivity gradients across human isocortex, cerebellum, and hippocampus. Article Snippet: Briefly, this dataset includes 1139 participants (Mage= 21.24, SDage= 2.70, 467 males, 672 females) who had undergone one Article Title: FKBP5 and Emotional Neglect Interact to Predict Individual Differences in Amygdala Reactivity Article Snippet: In a similarfashion to the Haploview generated haplotype, subjects were categorized based onthe presence of the TGCC haplotype (i.e., 0, 1 or 2 copies), which was comprisedof “non-risk” alleles ( ). fMRI Acquisition Parameters Blood oxygen level-dependent (BOLD) fMRI data were acquired with agradient-echo EPI sequence (TR/TE = 2000/25 milliseconds, FOV =20 cm, matrix = 64 × 64) covering 34 interleaved 3 mm Sequencing:Article Title: Correspondence of functional connectivity gradients across human isocortex, cerebellum, and hippocampus Article Snippet: Briefly, this dataset includes 1139 participants ( M age = 21.24, SD age = 2.70, 467 males, 672 females) who had undergone one Article Title: Shift-invariant rank-(L, L, 1, 1) BTD with 3D spatial pooling and orthonormalization: Application to multi-subject fMRI data Article Snippet: The rank-(L, L, 1, 1) block term decomposition (BTD) model shows better separation performance for multisubject fMRI data by preserving the high-way structure of fMRI data than canonical polyadic decomposition (CPD).. However, multi-subject fMRI data are noisy and have high spatiotemporal variability.. To address these limitations, this paper proposes a novel 3D weighted spatial pooling preprocessing that compresses and smooths multi-subject fMRI data and assigns a higher weight to in-brain voxels but a lower weight to out-brain voxels. Article Title: Estimating dynamic individual coactivation patterns based on densely sampled resting-state fMRI data and utilizing it for better subject identification. Article Snippet: As a complex dynamic system, the brain exhibits spatially organized recurring patterns of activity over time.. Coactivation patterns (CAPs), which analyzes data from each single frame, have been utilized to detect transient brain activity states recently.. However, previous CAP analyses have been conducted at the group level, which might neglect meaningful individual differences. Article Title: The role of right prefrontal and medial cortex in response inhibition: interfering with action restraint and action cancellation using transcranial magnetic brain stimulation. Article Snippet: Previous to their participation in the current experiment, all participants underwent structural (high-resolution T1weighted MP-RAGE, isotropic voxel resolution 1 × 1 × 1 mm3, 192 sagittal slices) and functional whole-brain (gradient-echo EPI sequence, repetition time= 1500msec, echo time = 28 msec, field of view = 224 mm, flip angle = 71°, matrix = 64 × 64, slice thickness = 3.5 mm, distance factor = 10%, 458 volumes per run) imaging in a Article Title: FKBP5and emotional neglect interact to predict individual differences in amygdala reactivity Article Snippet: In a similar fashion to the Haploview generated haplotype, subjects were categorized based on the presence of the TGCC haplotype (i.e. 0, 1 or 2 copies), which was comprised of ‘non-risk’ alleles (Table 1). fMRI acquisition parameters Blood oxygen level-dependent (BOLD) fMRI data were acquired with a gradient-echo EPI sequence (TR/TE = 2000/25 milliseconds, FOV = 20 cm, matrix = 64 × 64) covering 34 interleaved 3-mm thick axial slices on a Article Title: Correspondence of functional connectivity gradients across human isocortex, cerebellum, and hippocampus. Article Snippet: Briefly, this dataset includes 1139 participants (Mage= 21.24, SDage= 2.70, 467 males, 672 females) who had undergone one Article Title: FKBP5 and Emotional Neglect Interact to Predict Individual Differences in Amygdala Reactivity Article Snippet: In a similarfashion to the Haploview generated haplotype, subjects were categorized based onthe presence of the TGCC haplotype (i.e., 0, 1 or 2 copies), which was comprisedof “non-risk” alleles ( ). fMRI Acquisition Parameters Blood oxygen level-dependent (BOLD) fMRI data were acquired with agradient-echo EPI sequence (TR/TE = 2000/25 milliseconds, FOV =20 cm, matrix = 64 × 64) covering 34 interleaved 3 mm Functional Assay:Article Title: Correspondence of functional connectivity gradients across human isocortex, cerebellum, and hippocampus Article Snippet: Briefly, this dataset includes 1139 participants ( M age = 21.24, SD age = 2.70, 467 males, 672 females) who had undergone one Article Title: Shift-invariant rank-(L, L, 1, 1) BTD with 3D spatial pooling and orthonormalization: Application to multi-subject fMRI data Article Snippet: The rank-(L, L, 1, 1) block term decomposition (BTD) model shows better separation performance for multisubject fMRI data by preserving the high-way structure of fMRI data than canonical polyadic decomposition (CPD).. However, multi-subject fMRI data are noisy and have high spatiotemporal variability.. To address these limitations, this paper proposes a novel 3D weighted spatial pooling preprocessing that compresses and smooths multi-subject fMRI data and assigns a higher weight to in-brain voxels but a lower weight to out-brain voxels. Article Title: Estimating dynamic individual coactivation patterns based on densely sampled resting-state fMRI data and utilizing it for better subject identification. Article Snippet: As a complex dynamic system, the brain exhibits spatially organized recurring patterns of activity over time.. Coactivation patterns (CAPs), which analyzes data from each single frame, have been utilized to detect transient brain activity states recently.. However, previous CAP analyses have been conducted at the group level, which might neglect meaningful individual differences. Article Title: The role of right prefrontal and medial cortex in response inhibition: interfering with action restraint and action cancellation using transcranial magnetic brain stimulation. Article Snippet: Previous to their participation in the current experiment, all participants underwent structural (high-resolution T1weighted MP-RAGE, isotropic voxel resolution 1 × 1 × 1 mm3, 192 sagittal slices) and functional whole-brain (gradient-echo EPI sequence, repetition time= 1500msec, echo time = 28 msec, field of view = 224 mm, flip angle = 71°, matrix = 64 × 64, slice thickness = 3.5 mm, distance factor = 10%, 458 volumes per run) imaging in a Article Title: FKBP5and emotional neglect interact to predict individual differences in amygdala reactivity Article Snippet: In a similar fashion to the Haploview generated haplotype, subjects were categorized based on the presence of the TGCC haplotype (i.e. 0, 1 or 2 copies), which was comprised of ‘non-risk’ alleles (Table 1). fMRI acquisition parameters Blood oxygen level-dependent (BOLD) fMRI data were acquired with a gradient-echo EPI sequence (TR/TE = 2000/25 milliseconds, FOV = 20 cm, matrix = 64 × 64) covering 34 interleaved 3-mm thick axial slices on a Article Title: Correspondence of functional connectivity gradients across human isocortex, cerebellum, and hippocampus. Article Snippet: Briefly, this dataset includes 1139 participants (Mage= 21.24, SDage= 2.70, 467 males, 672 females) who had undergone one Article Title: FKBP5 and Emotional Neglect Interact to Predict Individual Differences in Amygdala Reactivity Article Snippet: In a similarfashion to the Haploview generated haplotype, subjects were categorized based onthe presence of the TGCC haplotype (i.e., 0, 1 or 2 copies), which was comprisedof “non-risk” alleles ( ). fMRI Acquisition Parameters Blood oxygen level-dependent (BOLD) fMRI data were acquired with agradient-echo EPI sequence (TR/TE = 2000/25 milliseconds, FOV =20 cm, matrix = 64 × 64) covering 34 interleaved 3 mm Imaging:Article Title: Correspondence of functional connectivity gradients across human isocortex, cerebellum, and hippocampus Article Snippet: Briefly, this dataset includes 1139 participants ( M age = 21.24, SD age = 2.70, 467 males, 672 females) who had undergone one Article Title: Shift-invariant rank-(L, L, 1, 1) BTD with 3D spatial pooling and orthonormalization: Application to multi-subject fMRI data Article Snippet: The rank-(L, L, 1, 1) block term decomposition (BTD) model shows better separation performance for multisubject fMRI data by preserving the high-way structure of fMRI data than canonical polyadic decomposition (CPD).. However, multi-subject fMRI data are noisy and have high spatiotemporal variability.. To address these limitations, this paper proposes a novel 3D weighted spatial pooling preprocessing that compresses and smooths multi-subject fMRI data and assigns a higher weight to in-brain voxels but a lower weight to out-brain voxels. Article Title: Estimating dynamic individual coactivation patterns based on densely sampled resting-state fMRI data and utilizing it for better subject identification. Article Snippet: As a complex dynamic system, the brain exhibits spatially organized recurring patterns of activity over time.. Coactivation patterns (CAPs), which analyzes data from each single frame, have been utilized to detect transient brain activity states recently.. However, previous CAP analyses have been conducted at the group level, which might neglect meaningful individual differences. Article Title: The role of right prefrontal and medial cortex in response inhibition: interfering with action restraint and action cancellation using transcranial magnetic brain stimulation. Article Snippet: Previous to their participation in the current experiment, all participants underwent structural (high-resolution T1weighted MP-RAGE, isotropic voxel resolution 1 × 1 × 1 mm3, 192 sagittal slices) and functional whole-brain (gradient-echo EPI sequence, repetition time= 1500msec, echo time = 28 msec, field of view = 224 mm, flip angle = 71°, matrix = 64 × 64, slice thickness = 3.5 mm, distance factor = 10%, 458 volumes per run) imaging in a Article Title: FKBP5and emotional neglect interact to predict individual differences in amygdala reactivity Article Snippet: In a similar fashion to the Haploview generated haplotype, subjects were categorized based on the presence of the TGCC haplotype (i.e. 0, 1 or 2 copies), which was comprised of ‘non-risk’ alleles (Table 1). fMRI acquisition parameters Blood oxygen level-dependent (BOLD) fMRI data were acquired with a gradient-echo EPI sequence (TR/TE = 2000/25 milliseconds, FOV = 20 cm, matrix = 64 × 64) covering 34 interleaved 3-mm thick axial slices on a Article Title: Correspondence of functional connectivity gradients across human isocortex, cerebellum, and hippocampus. Article Snippet: Briefly, this dataset includes 1139 participants (Mage= 21.24, SDage= 2.70, 467 males, 672 females) who had undergone one Article Title: FKBP5 and Emotional Neglect Interact to Predict Individual Differences in Amygdala Reactivity Article Snippet: In a similarfashion to the Haploview generated haplotype, subjects were categorized based onthe presence of the TGCC haplotype (i.e., 0, 1 or 2 copies), which was comprisedof “non-risk” alleles ( ). fMRI Acquisition Parameters Blood oxygen level-dependent (BOLD) fMRI data were acquired with agradient-echo EPI sequence (TR/TE = 2000/25 milliseconds, FOV =20 cm, matrix = 64 × 64) covering 34 interleaved 3 mm Generated:Article Title: Correspondence of functional connectivity gradients across human isocortex, cerebellum, and hippocampus Article Snippet: Briefly, this dataset includes 1139 participants ( M age = 21.24, SD age = 2.70, 467 males, 672 females) who had undergone one Article Title: Shift-invariant rank-(L, L, 1, 1) BTD with 3D spatial pooling and orthonormalization: Application to multi-subject fMRI data Article Snippet: The rank-(L, L, 1, 1) block term decomposition (BTD) model shows better separation performance for multisubject fMRI data by preserving the high-way structure of fMRI data than canonical polyadic decomposition (CPD).. However, multi-subject fMRI data are noisy and have high spatiotemporal variability.. To address these limitations, this paper proposes a novel 3D weighted spatial pooling preprocessing that compresses and smooths multi-subject fMRI data and assigns a higher weight to in-brain voxels but a lower weight to out-brain voxels. Article Title: Estimating dynamic individual coactivation patterns based on densely sampled resting-state fMRI data and utilizing it for better subject identification. Article Snippet: As a complex dynamic system, the brain exhibits spatially organized recurring patterns of activity over time.. Coactivation patterns (CAPs), which analyzes data from each single frame, have been utilized to detect transient brain activity states recently.. However, previous CAP analyses have been conducted at the group level, which might neglect meaningful individual differences. Article Title: The role of right prefrontal and medial cortex in response inhibition: interfering with action restraint and action cancellation using transcranial magnetic brain stimulation. Article Snippet: Previous to their participation in the current experiment, all participants underwent structural (high-resolution T1weighted MP-RAGE, isotropic voxel resolution 1 × 1 × 1 mm3, 192 sagittal slices) and functional whole-brain (gradient-echo EPI sequence, repetition time= 1500msec, echo time = 28 msec, field of view = 224 mm, flip angle = 71°, matrix = 64 × 64, slice thickness = 3.5 mm, distance factor = 10%, 458 volumes per run) imaging in a Article Title: FKBP5and emotional neglect interact to predict individual differences in amygdala reactivity Article Snippet: In a similar fashion to the Haploview generated haplotype, subjects were categorized based on the presence of the TGCC haplotype (i.e. 0, 1 or 2 copies), which was comprised of ‘non-risk’ alleles (Table 1). fMRI acquisition parameters Blood oxygen level-dependent (BOLD) fMRI data were acquired with a gradient-echo EPI sequence (TR/TE = 2000/25 milliseconds, FOV = 20 cm, matrix = 64 × 64) covering 34 interleaved 3-mm thick axial slices on a Article Title: Correspondence of functional connectivity gradients across human isocortex, cerebellum, and hippocampus. Article Snippet: Briefly, this dataset includes 1139 participants (Mage= 21.24, SDage= 2.70, 467 males, 672 females) who had undergone one Article Title: FKBP5 and Emotional Neglect Interact to Predict Individual Differences in Amygdala Reactivity Article Snippet: In a similarfashion to the Haploview generated haplotype, subjects were categorized based onthe presence of the TGCC haplotype (i.e., 0, 1 or 2 copies), which was comprisedof “non-risk” alleles ( ). fMRI Acquisition Parameters Blood oxygen level-dependent (BOLD) fMRI data were acquired with agradient-echo EPI sequence (TR/TE = 2000/25 milliseconds, FOV =20 cm, matrix = 64 × 64) covering 34 interleaved 3 mm |