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Research ArticleResearch Article: New Research, Disorders of the Nervous System

Altered Corticobrainstem Connectivity during Spontaneous Fluctuations in Pain Intensity in Painful Trigeminal Neuropathy

Noemi Meylakh, Lewis S. Crawford, Emily P. Mills, Vaughan G. Macefield, E. Russell Vickers, Paul M. Macey, Kevin A. Keay and Luke A. Henderson
eNeuro 12 July 2024, 11 (7) ENEURO.0522-23.2024; https://doi.org/10.1523/ENEURO.0522-23.2024
Noemi Meylakh
1School of Medical Sciences (Neuroscience), Brain and Mind Centre, University of Sydney, Sydney, New South Wales 2050, Australia
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Lewis S. Crawford
1School of Medical Sciences (Neuroscience), Brain and Mind Centre, University of Sydney, Sydney, New South Wales 2050, Australia
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  • ORCID record for Lewis S. Crawford
Emily P. Mills
1School of Medical Sciences (Neuroscience), Brain and Mind Centre, University of Sydney, Sydney, New South Wales 2050, Australia
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Vaughan G. Macefield
2Department of Neuroscience, Monash University, Melbourne, Victoria 3800, Australia
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E. Russell Vickers
1School of Medical Sciences (Neuroscience), Brain and Mind Centre, University of Sydney, Sydney, New South Wales 2050, Australia
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Paul M. Macey
3UCLA School of Nursing and Brain Research Institute, University of California, Los Angeles, California 90095
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Kevin A. Keay
1School of Medical Sciences (Neuroscience), Brain and Mind Centre, University of Sydney, Sydney, New South Wales 2050, Australia
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Luke A. Henderson
1School of Medical Sciences (Neuroscience), Brain and Mind Centre, University of Sydney, Sydney, New South Wales 2050, Australia
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Figures

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  • Extended Data
  • Figure 1.
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    Figure 1.

    Midbrain PAG seed region, pain block, and sliding-window connectivity design. A, With coordinates derived from a previous investigation utilizing this same dataset, a 1 mm sphere surrounding the PAG was generated and used as a seed region for subsequent connectivity analyses. B, Visual representation of the bock analysis used to assess corticobrainstem functional connectivity during periods of spontaneously high versus spontaneously low pain. In this analysis, connectivity between the PAG seed and each cortical voxel was assessed within a 50 s period overlying participants lowest reported pain (blue shaded bar) against a 50 s period overlying participants’ highest reported pain (orange shaded bar). Pain intensity was assessed using a VAS from 0, no pain, to 10, worst pain imaginable. C, In addition to the block design, a sliding-window analysis was performed where PAG connectivity was assessed during a 50 s period (Window 1 light gray box) which was then shifted forward by one volume (Window 2 dark gray box). This resulted in 336 contrast images representing 50 s mean PAG connectivity values across the entire 12 min scan.

  • Figure 2.
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    Figure 2.

    Ongoing pain intensity ratings and pain intensity variability in fluctuating (n = 13) and stable (n = 11) pain groups. A, Trace of VAS responses recorded throughout the entire 12 min fMRI scan series. All participants fit the diagnostic criteria for trigeminal neuropathic pain; however, note that multiple spontaneous shifts in perceived pain are observed in only our fluctuating pain group (left plot). B, Mean pain intensity and pain rating variability in fluctuating (orange bars) and stable (blue bars) pain groups across the 12 min scan. Fluctuating pain participants exhibited significantly higher mean intensity and variability of pain than stable participants. C, Linear regression analysis comparing participant mean pain intensity and variability throughout the 12 min scan period. No significant interaction between these variables was observed despite variable participants demonstrating both greater intensity and variability than stable pain participants.

  • Figure 3.
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    Figure 3.

    Significant differences in PAG connectivity strength during periods of high versus low pain in fluctuating pain participants (n = 13). Across the 12 min scanning window, the 25 volumes where participants rated their pain as the most intense were entered into a second-level, paired design with the 25 volumes where participants rated their pain the least intense. The top panel shows significant cortical clusters with greater midbrain PAG connectivity during high versus low pain (red color scale) and vice versa (blue color scale). The slice locations in MNI space are shown at the top right of each slice. The middle panel shows plots of mean (±SEM) PAG connectivity extracted from the above clusters and compared between fluctuating (high- and low-blocks) and stable (evenly dispersed blocks) participants. Note that the magnitude of PAG connectivity change in these sites only differs in those participants where pain fluctuates. Within the bottom panel is a post hoc analysis of the dose-dependent response within these clusters, as across the scan course our fluctuating pain group exhibited periods of perceived pain between the lowest and highest reported blocks. Note that in the hippocampus, dlPFC, and PCC, PAG connectivity appears to particularly track with the magnitude of pain only in those participants displaying fluctuating pain. Please see Extended Data Figure 3-1.

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    Figure 4.

    Cortical region demonstrating ongoing PAG connectivity change relating to fluctuations in pain intensity perceived across the 12 min scan period. The left overlay shows firstly the midbrain PAG seed (top box) sectioned within a render also showing a significant cluster in the contralateral (to side of pain) dlPFC where PAG connectivity was anticorrelated with perceived pain throughout the entire scanning period in fluctuating pain patients. The right panel provides visual examples of two fluctuating pain PTN participants where PAG–dlPFC connectivity (orange line) was continuously anticorrelated with perceived pain (blue line) over the 12 min scanning window. FC, functional connectivity; VAS, visual analog scale; dlPFC, dorsolateral prefrontal cortex.

Tables

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    Table 1.

    PTN participant classification

    Age (years)SexSide of painDiary pain intensity (VAS)Diary pain variability (SD)Pain duration (months)Current medication use
    129FLeft5.31.549-
    245MLeft3.10.421-
    335MRight1.50.796PEA
    478FLeft1.90.7314Paracetamol, Ostelin, Pristiq, Somac
    547FRight2.10.413PEA
    634MRight3.71.710PEA, Mersyndol
    766MLeft3.90.648-
    844FRight--5Valium, Panadeine Forte
    947FRight4.11.67-
    1044FLeft8.10.475PEA
    1146FLeft7.52.527Endep
    1228FRight5.80.352-
    1325MRight4.51.78Panadeine Forte
    1469FRight3.90.4259Endep, Lyrica, Oroxine, Crestor, Effexor, folic acid, prednisone
    1545FBilateral2.82.824Duloxetine
    1666MRight1.80.781Endep
    1736FLeft1.90.637PEA
    1840FLeft5.80.333-
    1958FLeft4.00.411Namipril, Zoloft, Panadol, PEA
    2035MLeft4.20.760-
    2167MBilateral2.00.996Endep
    2251FLeft1.50.313Mobic, PEA
    2335FRight3.41.015Amitriptyline
    2464FBilateral--144-
    • Participants 1–13 were placed in the fluctuating pain group, and Participants 14–23 were placed in the stable pain group. PEA, palmitoylethanolamide; VAS, visual analog scale; SD, standard deviation.

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    Table 2.

    MNI coordinates, cluster sizes, and significance values for clusters showing midbrain PAG connectivity differences during spontaneous low- versus high-pain intensity blocks in fluctuating pain participants (n = 13)

    RegionMNI coordinateCluster size (kE)t valuez value
    XYZ
    Highest > lowest pain
     Ipsilateral posterior insula−36−328216.084.03
     PCC−6−3630185.163.68
     Ipsilateral hippocampus−5202113.863.05
     Ipsilateral dlPFC−203428113.773.00
    Highest < lowest pain
     sgACC6−28−6123.863.05
    • View popup
    Table 3.

    MNI coordinates, cluster sizes, and significance values for clusters showing correlations pain intensity and PAG connectivity across the entire 12 min scan length in fluctuating pain participants (n = 13)

    RegionMNI coordinateCluster size (kE)t valuez value
    XYZ
    Negative correlation
     Contralateral dlPFC324016214.553.27

Extended Data

  • Figures
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  • Figure 3-1

    Mean connectivity and two-factor ANOVA interaction significance within cortical regions identified as altering in connectivity with the midbrain periaqueductal gray between low and high pain periods in fluctuating pain PTN participants. Note that only fluctuating PTN pain participants that displayed pain intensity ratings in all four pain blocks were included in this post-hoc analysis. Ipsi = ipsilateral, PI = posterior insula, PCC = posterior cingulate cortex, dlPFC = dorsolateral prefrontal cortex, sgACC = subgenual anterior cingulate cortex. Download Figure 3-1, DOCX file.

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Altered Corticobrainstem Connectivity during Spontaneous Fluctuations in Pain Intensity in Painful Trigeminal Neuropathy
Noemi Meylakh, Lewis S. Crawford, Emily P. Mills, Vaughan G. Macefield, E. Russell Vickers, Paul M. Macey, Kevin A. Keay, Luke A. Henderson
eNeuro 12 July 2024, 11 (7) ENEURO.0522-23.2024; DOI: 10.1523/ENEURO.0522-23.2024

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Altered Corticobrainstem Connectivity during Spontaneous Fluctuations in Pain Intensity in Painful Trigeminal Neuropathy
Noemi Meylakh, Lewis S. Crawford, Emily P. Mills, Vaughan G. Macefield, E. Russell Vickers, Paul M. Macey, Kevin A. Keay, Luke A. Henderson
eNeuro 12 July 2024, 11 (7) ENEURO.0522-23.2024; DOI: 10.1523/ENEURO.0522-23.2024
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Keywords

  • chronic pain
  • Cortex
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  • PAG
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