Distinct dynamic functional connectivity patterns of pain and touch thresholds: A resting-state fMRI study

Yuan, Yueming; Zhang, Li; Li, Linling; Huang, Gan; Anter, Ahmed M.; Liang, Zhen; Zhang, Zhiguo

doi:10.1016/j.bbr.2019.112142

Cited by 15 publications

(7 citation statements)

References 52 publications

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“…Changes of rsFC were also observed in cLBP subjects after 10 min pain-inducing maneuver, which further demonstrated the dynamic characteristics of FC in chronic pain (Yu et al, 2014). In a previous dFC study of a group of healthy participants, it was demonstrated that pain perception threshold was associated with the frequency of a DMN-dominant brain state, whereas the touch threshold was associated with another sFC-like brain state (Yuan et al, 2019). Other dFC studies found that the mean dwell time in a less frequent brain state, out of 5-6 total states, was significantly higher in the chronic migraine group versus healthy controls (Zou et al, 2021) and in subjects with post-brain-traumatic headache vs. those without Static functional connectivity (FC) matrices and the cluster centroids of the dynamic FC matrices of the FBSS subject and the healthy controls (HC).…”

Section: Discussionsupporting

confidence: 59%

Case report: The promising application of dynamic functional connectivity analysis on an individual with failed back surgery syndrome

et al. 2022

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Failed back surgery syndrome (FBSS), a chronic neuropathic pain condition, is a common indication for spinal cord stimulation (SCS). However, the mechanisms of SCS, especially its effects on supraspinal/brain functional connectivity, are still not fully understood. Resting state functional magnetic resonance imaging (rsfMRI) studies have shown characteristics in patients with chronic low back pain (cLBP). In this case study, we performed rsfMRI scanning (3.0 T) on an FBSS patient, who presented with chronic low back and leg pain following her previous lumbar microdiscectomy and had undergone permanent SCS. Appropriate MRI safety measures were undertaken to scan this subject. Seed-based functional connectivity (FC) was performed on the rsfMRI data acquired from the FBSS subject, and then compared to a group of 17 healthy controls. Seeds were identified by an atlas of resting state networks (RSNs), which is composed of 32 regions grouped into 8 networks. Sliding-window method and k-means clustering were used in dynamic FC analysis, which resulted in 4 brain states for each group. Our results demonstrated the safety and feasibility of 3T MRI scanning in a patient with implanted SCS system. Compared to the brain states of healthy controls, the FBSS subject presented very different FC patterns in less frequent brain states. The mean dwell time of brain states showed distinct distributions: the FBSS subject seemed to prefer a single state over the others. Although future studies with large sample sizes are needed to make statistical conclusions, our findings demonstrated the promising application of dynamic FC to provide more granularity with FC changes associated with different brain states in chronic pain.

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Section: Discussionsupporting

confidence: 59%

Case report: The promising application of dynamic functional connectivity analysis on an individual with failed back surgery syndrome

et al. 2022

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“…A sliding‐window approach was adopted to estimate changes of FC over time, and the resulting windowed segments were used to calculate transient FC patterns. In our study, data were segmented into a sliding window of 30 TR, 30 , 31 , 32 , 33 with a Gaussian window alpha value of 3 TR and a step size between windows of 1 TR. To promote sparsity, a penalty on the L1 norm was imposed utilizing the graphic LASSO framework by 100 repetitions.…”

Section: Methodsmentioning

confidence: 99%

Altered dynamic functional network connectivity in levodopa‐induced dyskinesia of Parkinson's disease

Gan

Zhang

et al. 2022

CNS Neurosci Ther

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BackgroundTraditional measures of static functional connectivity may not completely re ect the dynamic neural activity of levodopa-induced dyskinesia (LID) in Parkinson's disease (PD). This study was aimed to investigate the dynamic changes of large-scale functional network connectivity in the temporal domain in PD patients with and without LID. MethodsUsing dynamic functional network connectivity (dFNC) analysis, we evaluated 41 PD patients with LID (LID group) and 34 PD patients without LID (No-LID group), on and off their levodopa medications. Group spatial independent component analysis, sliding-window approach and k-means clusters were employed. ResultsIn OFF phase, we found no differences between PD subgroups in temporal properties. In ON phase, compared than No-LID group, LID group occurred more frequently and dwelled longer in strongly connected State 1, characterized by strong connections between visual network (VIS) and other networks.When switching from OFF to ON phase, LID group occurred more frequently and dwelled longer in State 2 and occurred less frequently and dwelled shorter in State 3 (both states were strongly connected), while No-LID group occurred more frequently and dwelled longer in State 5 (weakly connected). Additionally, correlation analysis further demonstrated that the severity of dyskinesia was only associated with frequency of occurrence and dwell time in State 2, dominated by inferior frontal cortex in cognitive executive network (CEN), strongly connecting with sensorimotor network (SMN) and VIS. ConclusionsUsing dFNC analysis, we found that compared to those without LID, PD patients with LID may be involved in the superexcitation of VIS, as well as interconnections between CEN and SMN, VIS, having impact on inhibition of motor circuits. The dFNC analysis might provide new insights into the neural mechanisms of LID in PD.

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“…As pain is a complex sensory experience involving cognitive, affective, and interoceptive control that is dependent on individual pain history and memory, it is important for these systems to interact in order to create awareness of, and reactions to, pain in an individualized way ( Melzack and Katz, 2013 ). Research in the field continually provides evidence of this multi-sensory and cognitive integration leading to the unique experience of pain ( Becerra et al, 2001 ; Bornhovd et al, 2002 ; Villemure and Bushnell, 2002 ; Godinho et al, 2006 ; Leknes and Tracey, 2008 ; Porreca and Navratilova, 2017 ; Moayedi et al, 2018 ; Thompson and Neugebauer, 2019 ; Yuan et al, 2019 ; Ioachim et al, 2020 ; Tu et al, 2020 ; Stroman et al, 2021 ; Warren et al, 2021 ) ng been implicated in the experience of pain, and complex communication between these regions is just beginning to be investigated in humans. Future studies may focus on expanding these intricate network analyses to include the higher limbic regions such as the amygdala, and other cortical regions including sensory, frontal/executive, and memory areas.…”

Section: Discussionmentioning

confidence: 99%

Evidence for Integration of Cognitive, Affective, and Autonomic Influences During the Experience of Acute Pain in Healthy Human Volunteers

2022

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Our psychological state greatly influences our perception of sensations and pain, both external and visceral, and is expected to contribute to individual pain sensitivity as well as chronic pain conditions. This investigation sought to examine the integration of cognitive and emotional communication across brainstem regions involved in pain modulation by comparing data from previous functional MRI studies of affective modulation of pain. Data were included from previous studies of music analgesia (Music), mood modulation of pain (Mood), and individual differences in pain (ID), totaling 43 healthy women and 8 healthy men. The Music and Mood studies were combined into an affective modulation group consisting of runs with music and positive-valenced emotional images plus concurrent presentation of pain, and a control group of runs with no-music, and neutral-valenced images with concurrent presentation of pain. The ID group was used as an independent control. Ratings of pain intensity were collected for each run and were analyzed in relation to the functional data. Differences in functional connectivity were identified across conditions in relation to emotional, autonomic, and pain processing in periods before, during and after periods of noxious stimulation. These differences may help to explain healthy pain processes and the cognitive and emotional appraisal of predictable noxious stimuli, in support of the Fields’ Decision Hypothesis. This study provides a baseline for current and future investigation of expanded neural networks, particularly within higher limbic and cortical structures. The results obtained by combining data across studies with different methods of pain modulation provide further evidence of the neural signaling underlying the complex nature of pain.

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Distinct dynamic functional connectivity patterns of pain and touch thresholds: A resting-state fMRI study

Cited by 15 publications

References 52 publications

Case report: The promising application of dynamic functional connectivity analysis on an individual with failed back surgery syndrome

Case report: The promising application of dynamic functional connectivity analysis on an individual with failed back surgery syndrome

Altered dynamic functional network connectivity in levodopa‐induced dyskinesia of Parkinson's disease

Evidence for Integration of Cognitive, Affective, and Autonomic Influences During the Experience of Acute Pain in Healthy Human Volunteers

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