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味觉皮层参与食物选择过程中的证据积累。

Gustatory Cortex Is Involved in Evidence Accumulation during Food Choice.

机构信息

Electrical Engineering Department, Sharif University of Technology, Tehran 1458889694, Iran.

Electrical Engineering Department, Sharif University of Technology, Tehran 1458889694, Iran

出版信息

eNeuro. 2022 May 18;9(3). doi: 10.1523/ENEURO.0006-22.2022. Print 2022 May-Jun.

DOI:10.1523/ENEURO.0006-22.2022
PMID:35508371
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9121914/
Abstract

Food choice is one of the most fundamental and most frequent value-based decisions for all animals including humans. However, the neural circuitry involved in food-based decisions is only recently being addressed. Given the relatively fast dynamics of decision formation, electroencephalography (EEG)-informed fMRI analysis is highly beneficial for localizing this circuitry in humans. Here, by using the EEG correlates of evidence accumulation in a simultaneously recorded EEG-fMRI dataset, we found a significant role for the right temporal-parietal operculum (PO) and medial insula including gustatory cortex (GC) in binary choice between food items. These activations were uncovered by using the "EEG energy" (power 2 of EEG) as the BOLD regressor and were missed if conventional analysis with the EEG signal itself were to be used, in agreement with theoretical predictions for EEG and BOLD relations. No significant positive correlations were found with higher powers of EEG (powers 3 or 4) pointing to specificity and sufficiency of EEG energy as the main correlate of the BOLD response. This finding extends the role of cortical areas traditionally involved in palatability processing to value-based decision-making and offers the "EEG energy" as a key regressor of BOLD response in simultaneous EEG-fMRI designs.

摘要

食物选择是所有动物(包括人类)最基本和最频繁的基于价值的决策之一。然而,涉及食物决策的神经回路直到最近才得到解决。鉴于决策形成的相对快速动态,脑电图(EEG)启发的 fMRI 分析对于在人类中定位该回路非常有益。在这里,我们通过使用同时记录的 EEG-fMRI 数据集中的证据积累的 EEG 相关物来发现,在食物项目之间的二元选择中,右侧颞顶叶岛盖(PO)和内侧脑岛(包括味觉皮层(GC))在二进制选择中起重要作用。这些激活是通过将“EEG 能量”(EEG 的功率 2)用作 BOLD 回归器来揭示的,如果使用 EEG 信号本身进行常规分析,则会错过这些激活,这与 EEG 和 BOLD 关系的理论预测一致。没有发现与 EEG 更高功率(功率 3 或 4)的显著正相关,这表明 EEG 能量的特异性和充分性是 BOLD 反应的主要相关物。这一发现将传统上涉及味觉处理的皮层区域的作用扩展到基于价值的决策,并提供了“EEG 能量”作为同时进行的 EEG-fMRI 设计中 BOLD 反应的关键回归器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4452/9121914/f172a13092dc/ENEURO.0006-22.2022_f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4452/9121914/9b061f4f05b1/ENEURO.0006-22.2022_f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4452/9121914/c7908c04d74d/ENEURO.0006-22.2022_f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4452/9121914/b1296e005c93/ENEURO.0006-22.2022_f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4452/9121914/c1e417f6f377/ENEURO.0006-22.2022_f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4452/9121914/473287a5ebfe/ENEURO.0006-22.2022_f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4452/9121914/f172a13092dc/ENEURO.0006-22.2022_f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4452/9121914/9b061f4f05b1/ENEURO.0006-22.2022_f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4452/9121914/c7908c04d74d/ENEURO.0006-22.2022_f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4452/9121914/b1296e005c93/ENEURO.0006-22.2022_f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4452/9121914/c1e417f6f377/ENEURO.0006-22.2022_f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4452/9121914/473287a5ebfe/ENEURO.0006-22.2022_f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4452/9121914/f172a13092dc/ENEURO.0006-22.2022_f006.jpg

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