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大脑网络中随时间演变的动力学预测对健康信息的反应。

Time-evolving dynamics in brain networks forecast responses to health messaging.

作者信息

Cooper Nicole, Garcia Javier O, Tompson Steven H, O'Donnell Matthew B, Falk Emily B, Vettel Jean M

机构信息

Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA.

U.S. Army Research Laboratory, Aberdeen Proving Ground, Aberdeen, MD, USA.

出版信息

Netw Neurosci. 2018 Nov 1;3(1):138-156. doi: 10.1162/netn_a_00058. eCollection 2019.

DOI:10.1162/netn_a_00058
PMID:30793078
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6372021/
Abstract

Neuroimaging measures have been used to forecast complex behaviors, including how individuals change decisions about their health in response to persuasive communications, but have rarely incorporated metrics of brain network dynamics. How do functional dynamics within and between brain networks relate to the processes of persuasion and behavior change? To address this question, we scanned 45 adult smokers by using functional magnetic resonance imaging while they viewed anti-smoking images. Participants reported their smoking behavior and intentions to quit smoking before the scan and 1 month later. We focused on regions within four atlas-defined networks and examined whether they formed consistent network communities during this task (measured as allegiance). Smokers who showed reduced allegiance among regions within the default mode and fronto-parietal networks also demonstrated larger increases in their intentions to quit smoking 1 month later. We further examined dynamics of the ventromedial prefrontal cortex (vmPFC), as activation in this region has been frequently related to behavior change. The degree to which vmPFC changed its community assignment over time (measured as flexibility) was positively associated with smoking reduction. These data highlight the value in considering brain network dynamics for understanding message effectiveness and social processes more broadly.

摘要

神经影像学测量方法已被用于预测复杂行为,包括个体如何根据有说服力的信息改变其健康决策,但很少纳入脑网络动力学指标。脑网络内部和之间的功能动力学如何与说服和行为改变过程相关?为了解决这个问题,我们对45名成年吸烟者进行了功能磁共振成像扫描,期间他们观看了反吸烟图像。参与者在扫描前和1个月后报告了他们的吸烟行为和戒烟意愿。我们聚焦于四个图谱定义网络中的区域,并检查它们在这项任务中是否形成一致的网络群落(以忠诚度衡量)。在默认模式和额顶叶网络内区域间忠诚度降低的吸烟者,在1个月后也表现出更大的戒烟意愿增加。我们进一步研究了腹内侧前额叶皮层(vmPFC)的动力学,因为该区域的激活经常与行为改变有关。vmPFC随时间改变其群落归属的程度(以灵活性衡量)与吸烟减少呈正相关。这些数据凸显了考虑脑网络动力学对于更广泛地理解信息有效性和社会过程的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3e1/6372021/bb0832b096c9/netn-03-138-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3e1/6372021/a11db284a8ac/netn-03-138-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3e1/6372021/11503417c0b2/netn-03-138-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3e1/6372021/5c3d4b0c004c/netn-03-138-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3e1/6372021/bb0832b096c9/netn-03-138-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3e1/6372021/a11db284a8ac/netn-03-138-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3e1/6372021/11503417c0b2/netn-03-138-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3e1/6372021/5c3d4b0c004c/netn-03-138-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3e1/6372021/bb0832b096c9/netn-03-138-g004.jpg

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