Prediction of life satisfaction from resting-state functional connectome.
Prediction of life satisfaction from resting-state functional connectome.
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DOI：
10.1002/brb3.2331
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发表时间：
2021-09
影响因子：
3.1
通讯作者：
Aoki YY
中科院分区：
文献类型：
--
作者：
Itahashi T;Kosibaty N;Hashimoto RI;Aoki YY
更好的生活满意度（LS）与更好的心理和精神结果相关。据我们所知，没有研究检查LS的预测模型。使用来自人类连接组项目（HCP）年轻成人S1200数据集的静息状态功能磁共振成像（R-fMRI）数据，我们检查了LS是否可以从内在功能连接（iFC）中预测。将所有HCP数据细分为发现（n = 100）或验证（n = 766）数据集。使用发现数据集中的R-fMRI数据，我们计算了大脑区域之间的iFC矩阵。岭回归结合主成分分析和10倍交叉验证用于预测LS。通过比较实际和预测的LS评分来评价预测性能。通过将该模型应用于验证数据集来评估从发现数据集获得的预测模型的通用性。该模型能够成功预测发现数据集中的LS（r = 0.381，p < .001）。该模型还能够成功预测验证数据集中的LS程度（r = 0.137，5000重复排列检验p = .006），这表明我们的模型可推广到年轻人的LS预测。来自视觉、腹侧注意或边缘系统网络到其他网络（如背侧注意网络和默认模式网络）的iFC可能对预测的LS评分有积极贡献。腹侧注意和边缘网络内的iFC也对预测LS有积极贡献。另一方面，从视觉和小脑网络到其他网络的iFC可能对预测的LS评分有负面影响。目前的研究结果表明，LS是可预测的iFC。这些结果是确定生活满意度的神经基础的重要一步。内在功能连接性（iFC）成功地预测了生活满意度（LS）。来自视觉、腹侧注意（货车）或边缘网络到其他网络的iFC可能对预测LS评分有积极贡献，而货车和边缘网络内的iFC也对预测LS有积极贡献。另一方面，从视觉和小脑网络到其他网络的iFC可能对预测的LS评分有负面影响。
Better life satisfaction (LS) is associated with better psychological and psychiatric outcomes. To the best of our knowledge, no studies have examined prediction models for LS. Using resting‐state functional magnetic resonance imaging (R‐fMRI) data from the Human Connectome Project (HCP) Young Adult S1200 dataset, we examined whether LS is predictable from intrinsic functional connectivity (iFC). All the HCP data were subdivided into either discovery (n = 100) or validation (n = 766) datasets. Using R‐fMRI data in the discovery dataset, we computed a matrix of iFCs between brain regions. Ridge regression, in combination with principal component analysis and 10‐fold cross‐validation, was used to predict LS. Prediction performance was evaluated by comparing actual and predicted LS scores. The generalizability of the prediction model obtained from the discovery dataset was evaluated by applying this model to the validation dataset. The model was able to successfully predict LS in the discovery dataset (r = 0.381, p < .001). The model was also able to successfully predict the degree of LS (r = 0.137, 5000‐repetition permutation test p = .006) in the validation dataset, suggesting that our model is generalizable to the prediction of LS in young adults. iFCs stemming from visual, ventral attention, or limbic networks to other networks (such as the dorsal attention network and default mode network) were likely to contribute positively toward predicted LS scores. iFCs within ventral attention and limbic networks also positively contributed to predicting LS. On the other hand, iFCs stemming from the visual and cerebellar networks to other networks were likely to contribute negatively to the predicted LS scores. The present findings suggest that LS is predictable from the iFCs. These results are an important step toward identifying the neural basis of life satisfaction. Intrinsic functional connectivities (iFCs) successfully predicted life satisfaction (LS). iFCs stemming from visual, ventral attention (VAN), or limbic networks to other networks were likely to contribute positively toward predicted LS scores, while iFCs within VAN and limbic networks also positively contributed to predicting LS. On the other hand, iFCs stemming from the visual and cerebellar networks to other networks were likely to contribute negatively to the predicted LS scores.
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影响因子：
3.5
作者：
Salsman, John M.;Lai, Jin-Shei;Hendrie, Hugh C.;Butt, Zeeshan;Zill, Nicholas;Pilkonis, Paul A.;Peterson, Christopher;Stoney, Catherine M.;Brouwers, Pim;Cella, David
通讯作者：
Cella, David
影响因子：
25
作者：
King M;Hernandez-Castillo CR;Poldrack RA;Ivry RB;Diedrichsen J
通讯作者：
Diedrichsen J
DOI：
10.3758/s13415-011-0039-9
发表时间：
2011-09
期刊：
Cognitive, affective & behavioral neuroscience
影响因子：
--
作者：
Waldinger RJ;Kensinger EA;Schulz MS
通讯作者：
Schulz MS
影响因子：
14.8
作者：
Shen X;Finn ES;Scheinost D;Rosenberg MD;Chun MM;Papademetris X;Constable RT
通讯作者：
Constable RT
影响因子：
2.5
作者：
HOERL, AE;KENNARD, RW
通讯作者：
KENNARD, RW