Results 31 to 40 of about 55,363 (118)
Background Poor grain plumpness (GP) is one of the main constraints to reaching the yield potential of hybrid rice. Results In this study, the GP of 177 rice varieties was investigated in three locations across 2 years.
Erbao Liu +8 more
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Robust statistical methods and the credibility movement of psychological science [PDF]
The general linear model (GLM) is the most frequently applied family of statistical models in psychology. Within the GLM, the effects under study are estimated using the ordinary least squares (OLS) estimation.
Martina Sladekova, Andy P. Field
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Introduction Resting‐state functional magnetic resonance imaging (fMRI) is widely used for measuring functional interactions between brain regions, significantly contributing to our understanding of large‐scale brain networks and brain–behavior ...
Lea E. Frank, Dagmar Zeithamova
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Objective: The purpose of this study was to evaluate the gray matter (GM) alterations in patients with mesial temporal lobe epilepsy (MTLE) based on statistical models.
Zhensheng Li +6 more
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Background To show the equivalence between the specific binding ratios (SBR) of visually normal 123I-FP-CIT SPECT scans from patients to those from healthy volunteers (Hv) or patients without dopaminergic degeneration to allow their use as a reference ...
Anthime Flaus +4 more
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Stereoscopic processing of crossed and uncrossed disparities in the human visual cortex
Background Binocular disparity provides a powerful cue for depth perception in a stereoscopic environment. Despite increasing knowledge of the cortical areas that process disparity from neuroimaging studies, the neural mechanism underlying disparity sign
Yuan Li +5 more
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Optimized statistical parametric mapping procedure for NIRS data contaminated by motion artifacts
This study investigated the spatial distribution of brain activity on body schema (BS) modification induced by natural body motion using two versions of a hand-tracing task.
Satoshi Suzuki
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GLMdenoise: a fast, automated technique for denoising task-based fMRI data
In task-based functional magnetic resonance imaging (fMRI), researchers seek to measure fMRI signals related to a given task or condition. In many circumstances, measuring this signal of interest is limited by noise. In this study, we present GLMdenoise,
Kendrick eKay +4 more
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Background Near-infrared spectroscopy (NIRS) is a non-invasive neuroimaging technique that recently has been developed to measure the changes of cerebral blood oxygenation associated with brain activities.
Ge Shuzhi S +3 more
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Modelling Co-Occurring Mental Health Conditions Among Autistic Individuals Using Polygenic Scores
Aims This study investigated the relationship between common genetic variation and co-occurring mental health conditions among autistic individuals. Methods The study was conducted with the Simons Foundation Powering Autism Research (SPARK) dataset, V9
Adeniran Okewole +4 more
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