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急性基底节区缺血性脑卒中患者多频段功能连接变化的机器学习研究

Functional Connectivity Changes in Multiple-Frequency Bands in Acute Basal Ganglia Ischemic Stroke Patients: A Machine Learning Approach.

机构信息

Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China.

Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, China.

出版信息

Neural Plast. 2022 Mar 20;2022:1560748. doi: 10.1155/2022/1560748. eCollection 2022.

DOI:10.1155/2022/1560748
PMID:35356364
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8958111/
Abstract

PURPOSE

Several functional magnetic resonance imaging (fMRI) studies have investigated the resting-state functional connectivity (rs-FC) changes in the primary motor cortex (M1) in patients with acute basal ganglia ischemic stroke (BGIS). However, the frequency-specific FC changes of M1 in acute BGIS patients are still unclear. Our study was aimed at exploring the altered FC of M1 in three frequency bands and the potential features as biomarkers for the identification by using a support vector machine (SVM).

METHODS

We included 28 acute BGIS patients and 42 healthy controls (HCs). Seed-based FC of two regions of interest (ROI, bilateral M1s) were calculated in conventional, slow-5, and slow-4 frequency bands. The abnormal voxel-wise FC values were defined as the features for SVM in different frequency bands.

RESULTS

In the ipsilesional M1, the acute BGIS patients exhibited decreased FC with the right lingual gyrus in the conventional and slow-4 frequency band. Besides, the acute BGIS patients showed increased FC with the right medial superior frontal gyrus (SFGmed) in the conventional and slow-5 frequency band and decreased FC with the left lingual gyrus in the slow-5 frequency band. In the contralesional M1, the BGIS patients showed lower FC with the right SFGmed in the conventional frequency band. The higher FC values with the right lingual gyrus and left SFGmed were detected in the slow-4 frequency band. In the slow-5 frequency band, the BGIS patients showed decreased FC with the left calcarine sulcus. SVM results showed that the combined features (slow-4+slow-5) had the highest accuracy in classification prediction of acute BGIS patients, with an area under curve (AUC) of 0.86.

CONCLUSION

Acute BGIS patients had frequency-specific alterations in FC; SVM is a promising method for exploring these frequency-dependent FC alterations. The abnormal brain regions might be potential targets for future researchers in the rehabilitation and treatment of stroke patients.

摘要

目的

已有数项功能磁共振成像(fMRI)研究调查了急性基底节区缺血性卒中(BGIS)患者初级运动皮层(M1)的静息态功能连接(rs-FC)变化。然而,急性 BGIS 患者 M1 的频域特异性 FC 变化仍不清楚。本研究旨在通过支持向量机(SVM)探索 M1 在三个频带中的改变的 FC 及其作为潜在特征的识别能力。

方法

我们纳入了 28 例急性 BGIS 患者和 42 名健康对照者(HCs)。在常规、慢-5 和慢-4 频率带中计算了两个感兴趣区(ROI,双侧 M1)的种子点功能连接。异常体素水平的 FC 值被定义为不同频带中 SVM 的特征。

结果

在患侧 M1 中,急性 BGIS 患者在常规和慢-4 频带中与右侧舌回的 FC 降低。此外,急性 BGIS 患者在常规和慢-5 频带中与右侧额上回内侧部(SFGmed)的 FC 增加,而在慢-5 频带中与左侧舌回的 FC 降低。在对侧 M1 中,BGIS 患者在常规频带中与右侧 SFGmed 的 FC 较低。在慢-4 频带中,BGIS 患者表现出与右侧舌回和左侧 SFGmed 的 FC 升高。在慢-5 频带中,BGIS 患者与左侧距状沟的 FC 降低。SVM 结果表明,在急性 BGIS 患者的分类预测中,慢-4+慢-5 的组合特征具有最高的准确性,曲线下面积(AUC)为 0.86。

结论

急性 BGIS 患者的 FC 存在频域特异性改变;SVM 是探索这些频率依赖性 FC 改变的一种有前途的方法。异常脑区可能是未来脑卒中患者康复和治疗研究的潜在靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ccd/8958111/1f5dd37c2346/NP2022-1560748.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ccd/8958111/3bf1d391afe1/NP2022-1560748.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ccd/8958111/2e0f7f932cd5/NP2022-1560748.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ccd/8958111/1f5dd37c2346/NP2022-1560748.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ccd/8958111/3bf1d391afe1/NP2022-1560748.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ccd/8958111/2e0f7f932cd5/NP2022-1560748.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ccd/8958111/1f5dd37c2346/NP2022-1560748.003.jpg

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