A Comprehensive and Broad Approach to Resting-State Functional Connectivity in Adult Patients with Mild Traumatic Brain Injury

被引:0
|
作者
Arabshahi, Soroush [1 ,5 ]
Chung, Sohae [2 ]
Alivar, Alaleh [2 ]
Amorapanth, Prin X. [3 ]
Flanagan, Steven R. [3 ]
Foo, Farng-Yang A. [4 ]
Laine, Andrew F. [1 ]
Lui, Yvonne W. [2 ]
机构
[1] Columbia Univ, Biomed Engn Dept, New York, NY USA
[2] NYU Grossman Sch Med, Dept Radiol, New York, NY USA
[3] NYU Grossman Sch Med, NYU, New York, NY USA
[4] NYU Grossman Sch Med, Dept Neurol, New York, NY USA
[5] Columbia Univ, Biomed Engn, 500 West 120th St,Mudd Bldg,373 Engn Terrace, New York, NY 10027 USA
关键词
HUMAN CEREBRAL-CORTEX; DEFAULT-MODE NETWORK; CONCUSSED INDIVIDUALS; STRESS; ORGANIZATION; FMRI;
D O I
10.3174/ajnr.A8193
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
BACKGROUND AND PURPOSE: Several recent works using resting-state fMRI suggest possible alterations of resting-state functional connectivity after mild traumatic brain injury. However, the literature is plagued by various analysis approaches and small study cohorts, resulting in an inconsistent array of reported findings. In this study, we aimed to investigate differences in whole-brain resting-state functional connectivity between adult patients with mild traumatic brain injury within 1 month of injury and healthy control subjects using several comprehensive resting-state functional connectivity measurement methods and analyses. MATERIALS AND METHODS: A total of 123 subjects (72 patients with mild traumatic brain injury and 51 healthy controls) were included. A standard fMRI preprocessing pipeline was used. ROI/seed-based analyses were conducted using 4 standard brain parcellation methods, and the independent component analysis method was applied to measure resting-state functional connectivity. The fractional amplitude of low-frequency fluctuations was also measured. Group comparisons were performed on all measurements with appropriate whole-brain multilevel statistical analysis and correction. RESULTS: There were no significant differences in age, sex, education, and hand preference between groups as well as no significant correlation between all measurements and these potential confounders. We found that each resting-state functional connectivity measurement revealed various regions or connections that were different between groups. However, after we corrected for multiple comparisons, the results showed no statistically significant differences between groups in terms of resting-state functional connectivity across methods and analyses. CONCLUSIONS: Although previous studies point to multiple regions and networks as possible mild traumatic brain injury biomarkers, this study shows that the effect of mild injury on brain resting-state functional connectivity has not survived after rigorous statistical correction. A further study using subject-level connectivity analyses may be necessary due to both subtle and variable effects of mild traumatic brain injury on brain functional connectivity across individuals.
引用
收藏
页码:637 / 646
页数:10
相关论文
共 50 条
  • [41] Effects of Mild Traumatic Brain Injury on Resting State Brain Network Connectivity in Older Adults
    Bittencourt, Mayra
    van der Horn, Harm-Jan
    Balart-Sanchez, Sebastian A.
    Marsman, Jan-Bernard C.
    van der Naalt, Joukje
    Maurits, Natasha M.
    BRAIN IMAGING AND BEHAVIOR, 2022, 16 (04) : 1863 - 1872
  • [42] Resting-state functional connectivity in normal brain aging
    Ferreira, Luiz Kobuti
    Busatto, Geraldo F.
    NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS, 2013, 37 (03): : 384 - 400
  • [43] Modulatory Interactions of Resting-State Brain Functional Connectivity
    Di, Xin
    Biswal, Bharat B.
    PLOS ONE, 2013, 8 (08):
  • [44] Multifractal Dynamic Functional Connectivity in the Resting-State Brain
    Racz, Frigyes Samuel
    Stylianou, Orestis
    Mukli, Peter
    Eke, Andras
    FRONTIERS IN PHYSIOLOGY, 2018, 9
  • [45] Recovery of resting brain connectivity ensuing mild traumatic brain injury
    Bharath, Rose D.
    Munivenkatappa, Ashok
    Gohel, Suril
    Panda, Rajanikant
    Saini, Jitender
    Rajeswaran, Jamuna
    Shukla, Dhaval
    Bhagavatula, Indira D.
    Biswal, Bharat B.
    FRONTIERS IN HUMAN NEUROSCIENCE, 2015, 9
  • [46] Resting state magnetoencephalography functional connectivity in traumatic brain injury Clinical article
    Tarapore, Phiroz E.
    Findlay, Anne M.
    LaHue, Sara C.
    Lee, Hana
    Honma, Susanne M.
    Mizuiri, Danielle
    Luks, Tracy L.
    Manley, Geoffrey T.
    Nagarajan, Srikantan S.
    Mukherjee, Pratik
    JOURNAL OF NEUROSURGERY, 2013, 118 (06) : 1306 - 1316
  • [47] Evaluation of anatomical and functional connections following traumatic brain injury in humans by diffusion tensor imaging and resting-state functional connectivity
    Donald, Christine Mac
    Lee, Amy
    Naunheim, Rosanne
    Vaishnavi, Sanjeev
    Epstein, Adrian
    Foster, Erin
    Snyder, Abraham
    Chleboun, Steffany
    Shimony, Joshua
    Raichle, Marcus
    Brody, David
    JOURNAL OF NEUROTRAUMA, 2008, 25 (07) : 875 - 875
  • [48] TRANSIENT CHANGE OF MODULAR STRUCTURE OF RESTING-STATE FUNCTIONAL CONNECTIVITY IN US MILITARY PERSONNEL FOLLOWING MILD BLAST-RELATED TRAUMATIC BRAIN INJURY
    Han, Kihwan
    Mac Donald, Christine
    Brody, David
    JOURNAL OF NEUROTRAUMA, 2012, 29 (10) : A97 - A98
  • [49] Distinct patterns of resting-state connectivity in US service members with mild traumatic brain injury versus posttraumatic stress disorder
    Philippi, Carissa L.
    Velez, Carmen S.
    Wade, Benjamin S. C.
    Drennon, Ann Marie
    Cooper, Douglas B.
    Kennedy, Jan E.
    Bowles, Amy O.
    Lewis, Jeffrey D.
    Reid, Matthew W.
    York, Gerald E.
    Newsome, Mary R.
    Wilde, Elisabeth A.
    Tate, David F.
    BRAIN IMAGING AND BEHAVIOR, 2021, 15 (05) : 2616 - 2626
  • [50] Brain functional connectivity and cognition in mild traumatic brain injury
    Xiong, K. L.
    Zhang, J. N.
    Zhang, Y. L.
    Zhang, Y.
    Chen, H.
    Qiu, M. G.
    NEURORADIOLOGY, 2016, 58 (07) : 733 - 739