Baseline Functional Connectivity Features of Neural Network Nodes Can Predict Improvement After Sound Therapy Through Adjusted Narrow Band Noise in Tinnitus Patients
单位:[1]Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China,医技科室影像中心放射科首都医科大学附属北京友谊医院[2]National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, China,首都医科大学附属北京友谊医院[3]Department of Otolaryngology Head and Neck Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China,临床科室耳鼻咽喉头颈外科耳鼻咽喉头颈外科首都医科大学附属北京友谊医院[4]Department of Otolaryngology, Affiliated Hospital of Chengde Medical College, Chengde, China,[5]Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
Previous resting-state functional magnetic resonance imaging (fMRI) studies have shown neural connectivity alterations after the treatment of tinnitus. We aim to study the value of the baseline functional connectivity features of neural network nodes to predict outcomes of sound therapy through adjusted narrow band noise. The fMRI data of 27 untreated tinnitus patients and 27 matched healthy controls were analyzed. We calculated the graph-theoretical metric degree centrality (DC) to characterize the functional connectivity of the neural network nodes. Therapeutic outcomes are determined by the changes in the Tinnitus Handicap Inventory (THI) score after a 12-week intervention. The connectivity of 10 brain nodes in tinnitus patients was significantly increased at baseline. The functional connectivity of right insula, inferior parietal lobule (IPL), bilateral thalami, and left middle temporal gyrus was significantly modified with the sound therapy, and such changes correlated with THI changes in tinnitus patients. Receiver operating characteristic curve analyses revealed that the measurements from the five brain regions were effective at classifying improvement after therapy. After age, gender, and education correction, the adjusted area under the curve (AUC) values for the bilateral thalami were the highest (left, 0.745; right, 0.708). Our study further supported the involvement of the fronto-parietal-cingulate network in tinnitus and found that the connectivity of the thalamus at baseline is an object neuroimaging-based indicator to predict clinical outcome of sound therapy through adjusted narrow band noise.
基金:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [81701644, 61801311, 81871322]; Beijing Scholars Program [(2015) 160]; Beijing Natural Science FoundationBeijing Natural Science Foundation [7172064, 7182044]; Beijing Municipal Administration of Hospitals [PX2018001, QML20180103]; Beijing Friendship Hospital, Capital Medical University [YYZZ2017B01]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation
第一作者单位:[1]Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China,
通讯作者:
推荐引用方式(GB/T 7714):
Lv Han,Zeng Na,Liu Chunli,et al.Baseline Functional Connectivity Features of Neural Network Nodes Can Predict Improvement After Sound Therapy Through Adjusted Narrow Band Noise in Tinnitus Patients[J].FRONTIERS in NEUROSCIENCE.2019,13:doi:10.3389/fnins.2019.00614.
APA:
Lv Han,Zeng Na,Liu Chunli,Chen Yuchen,Zhao Pengfei...&Wang Zhenchang.(2019).Baseline Functional Connectivity Features of Neural Network Nodes Can Predict Improvement After Sound Therapy Through Adjusted Narrow Band Noise in Tinnitus Patients.FRONTIERS in NEUROSCIENCE,13,
MLA:
Lv Han,et al."Baseline Functional Connectivity Features of Neural Network Nodes Can Predict Improvement After Sound Therapy Through Adjusted Narrow Band Noise in Tinnitus Patients".FRONTIERS in NEUROSCIENCE 13.(2019)