2023
DOI: 10.1016/j.neulet.2023.137123
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Altered large-scale internetwork functional connectivity in patients with vestibular migraine and migraine without aura

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Cited by 8 publications
(7 citation statements)
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“…High and low DC values in specific brain areas correspond to increased and decreased global connectivity, respectively (Zuo et al, 2012). In contrast to previous resting-state fMRI investigations that concentrated on regional functional measurements, i.e., ReHo (Li et al, 2023), ALFF (Liu et al, 2020;Li et al, 2023), ICA (Li et al, 2022;Chen et al, 2023), seed-based FC (Wang et al, 2023), and large-scale brain network analysis (Zhang et al, 2023), the index of voxel-wise DC can highlight the influence and significance of a given network at the voxel level and indicate the hub features of the functional brain network. This method has been extensively applied to survey DC abnormalities in relation to conditions such as trigeminal neuralgia (Liu et al, 2022;Ge et al, 2023), migraine (Zhang et al, 2017;Lee et al, 2019), and neuropathic pain (Zhang et al, 2022).…”
Section: Introductionmentioning
confidence: 95%
“…High and low DC values in specific brain areas correspond to increased and decreased global connectivity, respectively (Zuo et al, 2012). In contrast to previous resting-state fMRI investigations that concentrated on regional functional measurements, i.e., ReHo (Li et al, 2023), ALFF (Liu et al, 2020;Li et al, 2023), ICA (Li et al, 2022;Chen et al, 2023), seed-based FC (Wang et al, 2023), and large-scale brain network analysis (Zhang et al, 2023), the index of voxel-wise DC can highlight the influence and significance of a given network at the voxel level and indicate the hub features of the functional brain network. This method has been extensively applied to survey DC abnormalities in relation to conditions such as trigeminal neuralgia (Liu et al, 2022;Ge et al, 2023), migraine (Zhang et al, 2017;Lee et al, 2019), and neuropathic pain (Zhang et al, 2022).…”
Section: Introductionmentioning
confidence: 95%
“…Based on blood oxygen level-dependent (BOLD), the resting-state fMRI reflected inherent abnormality and revealed more fundamental brain functional alterations in patients with neurological and psychotic disorders [ 71 73 ]. Using resting-state fMRI technique, previous studies have reported the intrinsic abnormalities in brain functional activity in patients with VM, which involve many brain regions and networks [ 10 , 18 27 ]. The FC analyses in the current study revealed significant increased FC between right PreCG and left PostCG in patients with VM, indicating enhanced functional interactions between motor and somatosensory networks (namely, within sensorimotor network).…”
Section: Discussionmentioning
confidence: 99%
“…Thus, resting-state fMRI is much easier to carry out and has been increasingly used in recent VM studies. Previous resting-state fMRI studies on VM mainly adopted analytic methods of amplitude of low-frequency fluctuation (ALFF), fractional ALFF (fALFF), regional homogeneity (ReHo), functional connectivity (FC), data-driven voxel-wise degree centrality (DC), independent component analysis (ICA), functional network connectivity (FNC), dynamic ALFF and ReHo, and dynamic FNC, etc [18][19][20][21][22][23][24][25][26][27]. .…”
Section: Introductionmentioning
confidence: 99%
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“…By examining FC using a seed-based approach, Chen et al showed abnormal functional coupling with the thalamus and parietal operculum cortex in VM patients relative to HC [11,12]. Furthermore, atypical FC within or between resting-state networks, including the visual, auditory, sensorimotor network, as well as salience, executive and default mode network has been observed in resting-state fMRI studies on VM [13][14][15].…”
Section: Introductionmentioning
confidence: 99%