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Alterations in white matter (WM) have been reported in individuals with chronic pain,
although findings are inconsistent, and mostly derived using the limited Diffusion
Tensor Imaging (DTI) model. Going beyond DTI, one study reported lower WM complexity
in corpus callosum, internal capsule and a hippocampus tract. In youth with chronic
pain, no studies have examined WM changes, except in headache. The current study therefore
examined potential WM alterations in youth with chronic pain using DTI as well as
Neurite Orientation Dispersion and Density Imaging (NODDI), allowing more specific
interrogation of WM microstructure. Multi-shell diffusion-weighted MR images were
analyzed in 45 youth with chronic pain (age M=15.8±2.5, 41 females) and 25 controls
(age M=16.0±3.2, 18 females). Preprocessing included estimation and correction of
susceptibility-, eddy current-, and motion-induced distortions (FSL). DTI and NODDI
models were fit, deriving indices of fractional anisotropy (FA/DTI), neurite density
(NDI/NODDI) and orientation dispersion (ODI/NODDI). Data was spatially aligned using
tensor-based alignment (DTI-TK), followed by tract-based spatial statistics (TBSS;
TFCE-corrected). Group contrasts showed that while there were no group differences
in FA and NDI, patients showed increased ODI in several tracts, including the corticospinal
tract, corpus callosum and forceps minor (connecting medial and lateral frontal lobe),
uncinate fasciculus (connecting frontal and temporal lobe), internal capsule (connecting
subcortical structures) and fornix (a hippocampus tract). Our findings reveal specific
WM alterations in several tracts that are implicated in (chronic) pain. In particular,
the dispersion in fiber orientation was increased, reflective of less coherently organized
fibers. This may indicate possible delayed pruning in these tracts. Neurite density
indices were not different, reflective of similar amounts of fibers and myelin. Taken
together, youth with chronic pain showed specific alterations in fiber dispersion
of several WM tracts in cortico-limbic circuitry. Future work will examine associations
with individual difference factors. NIH R01HD083270 to LE Simons.
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© 2021 Published by Elsevier Inc.