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Siemens AG 3t tim trio scanner
3t Tim Trio Scanner, 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/fmri+data+preprocessing/3t+tim+trio+scanner/pmc03164559-237-12-11
Average 90 stars, based on 1 article reviews
3t tim trio scanner - by Bioz Stars, 2026-11
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other:

Article Title: Compression of functional gradients from rest to naturalistic processing: Moderation effect of age
Article Snippet: The Cam-CAN MRI data was collected by a 3T Siemens TIM Trio scanner with a 32-channel head coil.

Article Title: Functional Connectivity Patterns Following Mild Traumatic Brain Injury and the Association With Longitudinal Cognitive Function.
Article Snippet: Our main analysis included 265 participants who were scanned using a Siemens 3T TIM Trio scanner across seven different centers.

Magnetic Resonance Imaging:

Article Title: Brain Resting-state Functional Connectivity Mediates the Age-associated Decline in Physical Activity Engagement
Article Snippet: .. Magnetic resonance imaging images were collected using a Siemens 3T TIM Trio scanner with a 32-channel head coil. ..

Article Title: Brain resting-state functional connectivity mediates the age-associated decline in physical activity engagement.
Article Snippet: Ac ce pte d M an us cri pt Background: Physical activity (PA) engagement declines with age in late adulthood.. Therefore, understanding factors underlying PA engagement is needed for PA promotion in older adults.. Executive function is a potential key neurocognitive resource that supports PA engagement.

Article Title: Cognitive Deficits in Anti-LGI1 Encephalitis Are Linked to Immunotherapy-Resistant White Matter Network Changes
Article Snippet: Background and Objectives Cognitive deficits represent a major long-term complication of anti–leucine-rich, gliomainactivated 1 encephalitis (LGI1-E).. Although severely affecting patient outcomes, the structural brain changes underlying these deficits remain poorly understood.. In this study, we hypothesized a link between white matter (WM) networks and cognitive outcomes in LGI1-E. Methods In this cross-sectional study, we combined clinical assessments, comprehensive neuropsychological testing, diffusion tensor MRI, probabilistic WM tractography, and computational network analysis in patients with LGI1-E referred to Charité-Universitätsmedizin Berlin.

Article Title: Cognitive Deficits in Anti-LGI1 Encephalitis Are Linked to Immunotherapy-Resistant White Matter Network Changes
Article Snippet: .. Brain MRI was performed at the Berlin Center for Advanced Neuroimaging using a 3T Tim Trio scanner (Siemens, Erlangen, Germany) with a 12-channel phased-array head coil. ..

Imaging:

Article Title: Neural correlates of risk decision-making: Insights from the balloon analogue risk task and exponential-weight mean-variance model.
Article Snippet: Risk decision-making involves complex cognitive processes, posing challenges in cognitive neuroscience.. This study used the Exponential-Weight Mean-Variance (EWMV) model and intersubject representational similarity analysis (ISRSA) to examine the neural mechanisms of five key processesdprior belief, learning rate, risk preference, loss aversion, and behavioral consistencydduring the Balloon Analogue Risk Task (BART).. We identified distinct and overlapping neural substrates across three BART stages.

Sequencing:

Article Title: Prefrontal default-mode network interactions with posterior hippocampus during exploration
Article Snippet: .. We used a Siemens Tim Trio 3T scanner with the following T2*-optimized sequence: TR=1.0s, TE=30ms, flip angle = 55°, multiband acceleration factor = 5, voxel size = 2.3mm 3 . ..



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Figure 1. The schematic illustration of the main method. (A) The procedures to obtain multiscale FCNs. (i) the fMRI data from one individual is inputted and preprocessed. (ii) The application of the Schaefer’s multiscale atlases to the fMRI data. The black border lines indicate boundaries of ROIs and the colors encode the resting-state network (RSN) to which the ROI belongs. The RSNs include DMN, frontoparietal network (FP), limbic network (LIM), salience network (SAL), attention network (ATT), somatomotor network (SM), and visual network (VIS). (iii) The extraction of ROI-averaged signals. (iv) The construction of multiscale FCNs from individual fMRI data. (B) The architecture for multiscale atlas-based GCN (MAGCN). The multiscale FCNs are extracted via a series of GCNs connected by the APs. The nodal features h are integrated with skip connections and concatenations, based on which individualized diagnosis is generated.

Journal: Cerebral cortex (New York, N.Y. : 1991)

Article Title: Multiscale functional connectome abnormality predicts cognitive outcomes in subcortical ischemic vascular disease.

doi: 10.1093/cercor/bhab507

Figure Lengend Snippet: Figure 1. The schematic illustration of the main method. (A) The procedures to obtain multiscale FCNs. (i) the fMRI data from one individual is inputted and preprocessed. (ii) The application of the Schaefer’s multiscale atlases to the fMRI data. The black border lines indicate boundaries of ROIs and the colors encode the resting-state network (RSN) to which the ROI belongs. The RSNs include DMN, frontoparietal network (FP), limbic network (LIM), salience network (SAL), attention network (ATT), somatomotor network (SM), and visual network (VIS). (iii) The extraction of ROI-averaged signals. (iv) The construction of multiscale FCNs from individual fMRI data. (B) The architecture for multiscale atlas-based GCN (MAGCN). The multiscale FCNs are extracted via a series of GCNs connected by the APs. The nodal features h are integrated with skip connections and concatenations, based on which individualized diagnosis is generated.

Article Snippet: The sagittal T1-weighted images covering the whole brain were acquired by a 3Dfast spoiled gradient recalled echo sequence: TR = 5.6 ms, TE = 1.8 ms, matrix = 256 × 256, inversion time = 450 ms, flip angle = 15◦, slice thickness/gap = 1/0 mm, number of slices = 156, gap = 0, and FOV = 256 × 256 mm2. fMRI Data Preprocessing We adopt the standardized pipeline from the public available toolbox Data Processing Assistant for Resting-State fMRI (Yan and Zang 2010) in Matlab (Mathworks.

Techniques: Extraction, Biomarker Discovery, Generated