Altered static and dynamic functional network connectivity in post-traumatic headache

Abstract Background Post-traumatic headache (PTH) is a very common symptom following mild traumatic brain injury (mTBI), yet much remains unknown about the underlying pathophysiological mechanisms of PTH. Neuroimaging studies suggest that aberrant functional network connectivity (FNC) may be an impo...

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Autores principales: Fengfang Li, Liyan Lu, Song’an Shang, Huiyou Chen, Peng Wang, Vijaya Prakash Muthaiah, Xindao Yin, Yu-Chen Chen
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Publicado: BMC 2021
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spelling oai:doaj.org-article:1442a5b3399d43eab6a84e6bef04cb602021-11-14T12:37:31ZAltered static and dynamic functional network connectivity in post-traumatic headache10.1186/s10194-021-01348-x1129-23691129-2377https://doaj.org/article/1442a5b3399d43eab6a84e6bef04cb602021-11-01T00:00:00Zhttps://doi.org/10.1186/s10194-021-01348-xhttps://doaj.org/toc/1129-2369https://doaj.org/toc/1129-2377Abstract Background Post-traumatic headache (PTH) is a very common symptom following mild traumatic brain injury (mTBI), yet much remains unknown about the underlying pathophysiological mechanisms of PTH. Neuroimaging studies suggest that aberrant functional network connectivity (FNC) may be an important factor in pain disorders. The present study aimed to investigate the functional characteristics of static FNC (sFNC) and dynamic FNC (dFNC) in mTBI patients with PTH. Methods With Institutional Review Board (IRB) approval, we prospectively recruited 50 mTBI patients with PTH, who were diagnosed with ICHD-3 beta diagnostic criteria and 39 mTBI without PTH who were well matched for age, gender and education. Resting-state functional magnetic resonance imaging (fMRI) scanning (3.0 T, Philips Medical Systems, Netherlands), Montreal Cognitive Assessment (MoCA) and headache symptom measurement (headache frequency and headache intensity) were performed. The resting-state fMRI sequence took 8 min and 10 s. Independent component analysis and sliding window method were applied to examine the FNC on the basis of nine resting-state networks, namely, default mode network (DMN), sensorimotor network (SMN), executive control network (ECN), auditory network (AuN), attention network (AN), salience network (SN), visual network (VN), and cerebellum network (CN). The differences in sFNC and dFNC were determined and correlated with clinical variables using Pearson rank correlation. Results For sFNC, compared with mTBI patients without PTH, mTB with PTH group showed four altered interactions, including decreased interactions in SN-SMN and VN-DMN pairs, increased sFNC in SN-ECN and SMN-DMN pairs. For dFNC, significant group differences were found in State 2, including increased connectivity alteration in the DMN with CN, DMN with SMN, and AuN with CN. Significant reduced connectivity changes in the DMN with VN was found in State 4. Furthermore, the number of transitions (r=0.394, p=0.005) between states was positively associated with headache frequency. Additionally, dwell time (r=-0.320, p=0.025) in State 1 was negatively correlated with MoCA score. Conclusions MTBI patients with PTH are characterized with altered sFNC and dFNC, which could provide new perspective to understand the neuropathological mechanism underlying the PTH to determine more appropriate management, and may be a useful imaging biomarker for identifying and predicting mTBI with PTH.Fengfang LiLiyan LuSong’an ShangHuiyou ChenPeng WangVijaya Prakash MuthaiahXindao YinYu-Chen ChenBMCarticlePost-traumatic headacheMild traumatic brain injuryFunctional magnetic resonance imagingFunctional network connectivityMedicineRENThe Journal of Headache and Pain, Vol 22, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Post-traumatic headache
Mild traumatic brain injury
Functional magnetic resonance imaging
Functional network connectivity
Medicine
R
spellingShingle Post-traumatic headache
Mild traumatic brain injury
Functional magnetic resonance imaging
Functional network connectivity
Medicine
R
Fengfang Li
Liyan Lu
Song’an Shang
Huiyou Chen
Peng Wang
Vijaya Prakash Muthaiah
Xindao Yin
Yu-Chen Chen
Altered static and dynamic functional network connectivity in post-traumatic headache
description Abstract Background Post-traumatic headache (PTH) is a very common symptom following mild traumatic brain injury (mTBI), yet much remains unknown about the underlying pathophysiological mechanisms of PTH. Neuroimaging studies suggest that aberrant functional network connectivity (FNC) may be an important factor in pain disorders. The present study aimed to investigate the functional characteristics of static FNC (sFNC) and dynamic FNC (dFNC) in mTBI patients with PTH. Methods With Institutional Review Board (IRB) approval, we prospectively recruited 50 mTBI patients with PTH, who were diagnosed with ICHD-3 beta diagnostic criteria and 39 mTBI without PTH who were well matched for age, gender and education. Resting-state functional magnetic resonance imaging (fMRI) scanning (3.0 T, Philips Medical Systems, Netherlands), Montreal Cognitive Assessment (MoCA) and headache symptom measurement (headache frequency and headache intensity) were performed. The resting-state fMRI sequence took 8 min and 10 s. Independent component analysis and sliding window method were applied to examine the FNC on the basis of nine resting-state networks, namely, default mode network (DMN), sensorimotor network (SMN), executive control network (ECN), auditory network (AuN), attention network (AN), salience network (SN), visual network (VN), and cerebellum network (CN). The differences in sFNC and dFNC were determined and correlated with clinical variables using Pearson rank correlation. Results For sFNC, compared with mTBI patients without PTH, mTB with PTH group showed four altered interactions, including decreased interactions in SN-SMN and VN-DMN pairs, increased sFNC in SN-ECN and SMN-DMN pairs. For dFNC, significant group differences were found in State 2, including increased connectivity alteration in the DMN with CN, DMN with SMN, and AuN with CN. Significant reduced connectivity changes in the DMN with VN was found in State 4. Furthermore, the number of transitions (r=0.394, p=0.005) between states was positively associated with headache frequency. Additionally, dwell time (r=-0.320, p=0.025) in State 1 was negatively correlated with MoCA score. Conclusions MTBI patients with PTH are characterized with altered sFNC and dFNC, which could provide new perspective to understand the neuropathological mechanism underlying the PTH to determine more appropriate management, and may be a useful imaging biomarker for identifying and predicting mTBI with PTH.
format article
author Fengfang Li
Liyan Lu
Song’an Shang
Huiyou Chen
Peng Wang
Vijaya Prakash Muthaiah
Xindao Yin
Yu-Chen Chen
author_facet Fengfang Li
Liyan Lu
Song’an Shang
Huiyou Chen
Peng Wang
Vijaya Prakash Muthaiah
Xindao Yin
Yu-Chen Chen
author_sort Fengfang Li
title Altered static and dynamic functional network connectivity in post-traumatic headache
title_short Altered static and dynamic functional network connectivity in post-traumatic headache
title_full Altered static and dynamic functional network connectivity in post-traumatic headache
title_fullStr Altered static and dynamic functional network connectivity in post-traumatic headache
title_full_unstemmed Altered static and dynamic functional network connectivity in post-traumatic headache
title_sort altered static and dynamic functional network connectivity in post-traumatic headache
publisher BMC
publishDate 2021
url https://doaj.org/article/1442a5b3399d43eab6a84e6bef04cb60
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AT vijayaprakashmuthaiah alteredstaticanddynamicfunctionalnetworkconnectivityinposttraumaticheadache
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