Mengqi Xing

2 papers in the library · 1 citation · publishing 2018-2020

Papers

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Everyone Can Meditate: Characterizing a Personalized Connectomic State Space among Meditation Groups and Non-meditators

bioRxiv (Cold Spring Harbor Laboratory) June 20, 2020 Jacob van Doorn, Mengqi Xing, B. Rael Cahn et al. 1 citation preprint

Abstract Alterations in brain connectivity has been shown for many disease states and groups of people from different levels of cognitive training. To study dynamic functional connectivity, we propose a method for a personalized connectomic state space called Thought Chart. Experienced meditators are an interesting group of healthy subjects for brain connectivity analyses due to their...

DOI: 10.1101/2020.06.19.162461 Full text Meditation Resting State FMRI Functional connectivity Cognition +3

From Default Mode Network to the Basal Configuration: Sex Differences in the Resting-State Brain Connectivity as a Function of Age and Their Clinical Correlates.

Frontiers in Psychiatry 2018 Sean D Conrin, Liang Zhan, Zachery D Morrissey et al.

Connectomics is a framework that models brain structure and function interconnectivity as a network, rather than narrowly focusing on select regions-of-interest. MRI-derived connectomes can be structural, usually based on diffusion-weighted MR imaging, or functional, usually formed by examining fMRI blood-oxygen-level-dependent (BOLD) signal correlations. Recently, we developed a novel method...

DOI: 10.3389/fpsyt.2018.00365 Full text Default-mode network Brain connectivity Community structure Human connectome project +3