Publications by authors named "Ya-Ting Lv"

Aim: Sepsis is a potentially fatal condition characterized by organ failure resulting from an abnormal host response to infection, often leading to liver and kidney damage. Timely recognition and intervention of these dysfunctions have the potential to significantly reduce sepsis mortality rates. Recent studies have emphasized the critical role of serum exosomes and their miRNA content in mediating sepsis-induced organ dysfunction.

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Article Synopsis
  • The Default Mode Network (DMN) plays a crucial role in understanding brain development and disease, and resting-state functional connectivity (rsFC) is a common method used to study it, though seed selection varies across studies.
  • An image-based meta-analysis (IBMA) was conducted, analyzing 59 seed region coordinates from 11 studies to assess the impact of different seed selections on rsFC results.
  • Findings reveal that there is a low overlap in connectivity maps across different seed regions, suggesting that researchers should carefully consider seed choice, as it can significantly influence the results in future studies.
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Many resting-state functional magnetic resonance imaging (rs-fMRI) studies have explored abnormal regional spontaneous brain activity in migraine. However, these results are inconsistent. To identify the consistent regions with abnormal neural activity, we meta-analyzed these studies.

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Local activity metrics of resting-state functional MRI (RS-fMRI), such as the amplitude of low-frequency fluctuation (ALFF), fractional ALFF (fALFF), regional homogeneity (ReHo), and degree centrality (DC), are widely used to detect brain abnormalities based on signal fluctuations. Although signal changes with echo time (TE) have been widely studied, the effect of TE on local activity metrics has not been investigated. RS-fMRI datasets from 12 healthy subjects with eyes open (EO) and eyes closed (EC) were obtained with a four-echo gradient-echo-planar imaging pulse sequence with the following parameters: repetition time/TE1/TE2/TE3/TE4 = 2,000/13/30.

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Article Synopsis
  • Research indicates that the default mode network (DMN), crucial for social cognition, shows disrupted resting-state connectivity in individuals with autism spectrum disorder (ASD).
  • A meta-analysis was conducted, reviewing studies on resting-state functional connectivity in ASD and healthy controls, encompassing data from 203 ASD patients and 208 healthy individuals to identify differences.
  • Findings revealed that ASD patients exhibited increased connectivity in certain brain areas but decreased connectivity in key DMN regions, potentially aiding in understanding the neurobiological mechanisms behind ASD.
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The amplitude of low-frequency fluctuation (ALFF) measures resting-state functional magnetic resonance imaging (RS-fMRI) signal of each voxel. However, the unit of blood oxygenation level-dependent (BOLD) signal is arbitrary and hence ALFF is sensitive to the scale of raw signal. A well-accepted standardization procedure is to divide each voxel's ALFF by the global mean ALFF, named mALFF.

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The current study combined structural magnetic resonance imaging (sMRI) and diffusion tensor MRI (DT-MRI) to investigate both gray matter density (GMD) and white matter integrity (WMI) in 18 pianists and 21 age-matched non-musicians. The pianists began their piano training at a mean age of 12. Voxel-based morphometry of the sMRI data showed that the pianists had higher GMD in the left primary sensorimotor cortex and right cerebellum.

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Resting-state functional MRI and structural MRI were used to study correlations of spontaneous activity and gray matter density between the left and right primary sensorimotor areas in pianists and nonmusicians. Functional MRI analysis showed significant correlation of spontaneous activity between the left and right primary sensorimotor area in both groups; however, there was no between-group difference. Structural MRI analysis showed significant correlation in gray matter density between the left and right sensorimotor areas in nonmusicians (r=0.

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