Functional connectivity analysis of fMRI data collected from human subjects with chronic tinnitus and varying levels of tinnitus-related distress

被引:11
|
作者
Hullfish, Jeffrey [1 ]
Abenes, Ian [1 ]
Kovacs, Silvia [2 ,3 ]
Sunaert, Stefan [2 ,3 ]
De Ridder, Dirk [4 ]
Vanneste, Sven [1 ]
机构
[1] Univ Texas Dallas, Sch Behav & Brain Sci, Richardson, TX 75080 USA
[2] Katholieke Univ Leuven, Dept Radiol, Dept Imaging & Pathol, Translat MRI, B-3000 Leuven, Belgium
[3] Katholieke Univ Leuven, Dept Radiol, Med Imaging Res Ctr, B-3000 Leuven, Belgium
[4] Univ Otago, Dunedin Sch Med, Sect Neurosurg, Dept Surg Sci, Dunedin 9054, New Zealand
来源
DATA IN BRIEF | 2018年 / 21卷
关键词
D O I
10.1016/j.dib.2018.10.044
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The data presented here are functional connectivity analyses based on fMRI scans from a clinical sample of the chronic tinnitus population (n = 75). All data were obtained during an experiment in which subjects listened to auditory stimuli via headphones while undergoing fMRI scanning. The stimuli consisted of tones and bandpass noise presented at different frequencies. Stimulus frequency was the experimental factor, which was set (1) at each subject's tinnitus percept frequency (TF) and (2) at an unrelated control frequency (CF) at least one octave away from the TF stimuli. All subjects were presented with stimuli at these two frequencies. We refer the reader to our original research article "Functional brain changes in auditory phantom perception evoked by different stimulus frequencies" (Hullfish et al., 2018) for further discussion. Here, we present data specifically from group-level analyses where the subjects were divided according to their level of tinnitus-related distress. The high-distress (HD) group comprised 43 subjects with Tinnitus Questionnaire (TQ) scores greater than or equal to 47, out of a possible 82 points. The low distress (LD) group comprised the remaining 32 subjects with TQ score less than 47. The data presented include contrasts of functional connectivity elicited by TF and CF stimuli in each group as well as contrasts between the two groups. (C) 2018 The Authors. Published by Elsevier Inc.
引用
收藏
页码:779 / 789
页数:11
相关论文
共 35 条
  • [21] Investigating time-varying functional connectivity derived from the Jackknife Correlation method for distinguishing between emotions in fMRI data
    Ghahari, Shabnam
    Farahani, Naemeh
    Fatemizadeh, Emad
    Nasrabadi, Ali Motie
    COGNITIVE NEURODYNAMICS, 2020, 14 (04) : 457 - 471
  • [22] Assessment of brain interactivity in the motor cortex from the concept of functional connectivity and spectral analysis of fMRI data
    S. Fall
    G. de Marco
    Biological Cybernetics, 2008, 98 : 101 - 114
  • [23] Assessment of brain interactivity in the motor cortex from the concept of functional connectivity and spectral analysis of fMRI data
    Fall, S.
    de Marco, G.
    BIOLOGICAL CYBERNETICS, 2008, 98 (02) : 101 - 114
  • [24] Differentiation between Resting-State fMRI data from ADHD and Normal Subjects : Based on Functional Connectivity and Machine Learning
    Liang, Sheng-Fu
    Hsieh, Tsung-Hao
    Chen, Pin-Tzu
    Wu, Ming-Long
    Kung, Chun-Chia
    Lin, Chun-Yu
    Shaw, Fu-Zen
    2012 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY2012), 2012, : 294 - 298
  • [25] Connectivity analysis of human functional MRI data: From linear to nonlinear and static to dynamic
    Deshpande, Gopikrishna
    LaConte, Stephen
    Peltier, Scott
    Hu, Xiaoping
    MEDICAL IMAGING AND AUGMENTED REALITY, 2006, 4091 : 17 - 24
  • [26] A simplicial analysis of the fMRI data from human brain dynamics under functional cognitive tasks
    Bishal, Rabindev
    Cherodath, Sarika
    Singh, Nandini Chatterjee
    Gupte, Neelima
    FRONTIERS IN NETWORK PHYSIOLOGY, 2022, 2
  • [27] Analysis of tinnitus severity and associated risk factors in patients with chronic otitis media: data from the multinational collaborative Chronic Otitis Media Questionnaire-12 study
    Tailor, B., V
    Phillips, J. S.
    Nunney, I
    Yung, M. W.
    Doruk, C.
    Kara, H.
    Kong, T.
    Quaranta, N.
    Penaranda, A.
    Bernardeschi, D.
    Dai, C.
    Kania, R.
    Denoyelle, F.
    Tono, T.
    JOURNAL OF LARYNGOLOGY AND OTOLOGY, 2022, 136 (12): : 1203 - 1210
  • [28] Age-related changes in human brain functional connectivity using graph theory and machine learning techniques in resting-state fMRI data
    Baghernezhad, Sepideh
    Daliri, Mohammad Reza
    GEROSCIENCE, 2024, 46 (5) : 5303 - 5320
  • [29] Analysis of brain functional connectivity network in MS patients constructed by modular structure of sparse weights from cognitive task-related fMRI
    Seyedeh Naghmeh Miri Ashtiani
    Hamid Behnam
    Mohammad Reza Daliri
    Gholam-Ali Hossein-Zadeh
    Masoud Mehrpour
    Australasian Physical & Engineering Sciences in Medicine, 2019, 42 : 921 - 938
  • [30] Analysis of brain functional connectivity network in MS patients constructed by modular structure of sparse weights from cognitive task-related fMRI
    Ashtiani, Seyedeh Naghmeh Miri
    Behnam, Hamid
    Daliri, Mohammad Reza
    Hossein-Zadeh, Gholam-Ali
    Mehrpour, Masoud
    AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE, 2019, 42 (04) : 921 - 938