Unknown

Dataset Information

0

Machine Learning in Neuroimaging: A New Approach to Understand Acupuncture for Neuroplasticity.


ABSTRACT: The effects of acupuncture facilitating neural plasticity for treating diseases have been identified by clinical and experimental studies. In the last two decades, the application of neuroimaging techniques in acupuncture research provided visualized evidence for acupuncture promoting neuroplasticity. Recently, the integration of machine learning (ML) and neuroimaging techniques becomes a focus in neuroscience and brings a new and promising approach to understand the facilitation of acupuncture on neuroplasticity at the individual level. This review is aimed at providing an overview of this rapidly growing field by introducing the commonly used ML algorithms in neuroimaging studies briefly and analyzing the characteristics of the acupuncture studies based on ML and neuroimaging, so as to provide references for future research.

SUBMITTER: Yin T 

PROVIDER: S-EPMC7463415 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

altmetric image

Publications

Machine Learning in Neuroimaging: A New Approach to Understand Acupuncture for Neuroplasticity.

Yin Tao T   Ma Peihong P   Tian Zilei Z   Xie Kunnan K   He Zhaoxuan Z   Sun Ruirui R   Zeng Fang F  

Neural plasticity 20200824


The effects of acupuncture facilitating neural plasticity for treating diseases have been identified by clinical and experimental studies. In the last two decades, the application of neuroimaging techniques in acupuncture research provided visualized evidence for acupuncture promoting neuroplasticity. Recently, the integration of machine learning (ML) and neuroimaging techniques becomes a focus in neuroscience and brings a new and promising approach to understand the facilitation of acupuncture  ...[more]

Similar Datasets

| S-EPMC6688909 | biostudies-literature
| S-EPMC7806588 | biostudies-literature
| S-EPMC8755739 | biostudies-literature
| S-EPMC5905914 | biostudies-other
| S-EPMC8633567 | biostudies-literature
| S-EPMC8058944 | biostudies-literature
| S-EPMC7732880 | biostudies-literature
| S-EPMC6747258 | biostudies-literature
| S-EPMC8208855 | biostudies-literature
| S-EPMC8292863 | biostudies-literature