Altered functional connectivity of brainstem nuclei in new daily persistent headache: Evidence from resting‐state functional magnetic resonance imaging

Wang, Wei; Qiu, Dong; Mei, Yanliang; Bai, Xiaoyan; Yuan, Ziyu; Zhang, Xue; Xiong, Zhonghua; Tang, Hefei; Zhang, Peng; Zhang, Yaqing; Yu, Xueying; Wang, Zhe; Ge, Zhaoli; Sui, Binbin; Wang, Yonggang

doi:10.1111/cns.14686

Cited by 2 publications

(1 citation statement)

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“…Despite its rarity, it is noteworthy that the NDPH is one of the most treatment-resistant primary headaches, resulting in severe disability in patients [ 1 , 3 ]. There has been a growing interest in NDPH over the past few years, and with the swift advancement of imaging technologies, functional MRI of the brain revealed changes in BOLD signals in the multiple sensory, emotional, affective, and cognitive-related brain regions in patients with NDPH [ 8 – 10 ]. The NDPH has been demonstrated to be related to neuronal activity through functional magnetic resonance imaging.…”

Section: Introductionmentioning

confidence: 99%

White matter and cortical gray matter microstructural abnormalities in new daily persistent headache: a NODDI study

Li,

Mei,

Wang

et al. 2024

J Headache Pain

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Background New daily persistent headache (NDPH) is a rare primary headache with unclear pathogenesis. Neuroimaging studies of NDPH are limited, and controversy still exists. Diffusion tensor imaging (DTI) is commonly used to study the white matter. However, lacking specificity, the potential pathological mechanisms of white matter microstructural changes remain poorly understood. In addition, the intricacy of gray matter structures impedes the application of the DTI model. Here, we applied an advanced diffusion model of neurite orientation dispersion and density imaging (NODDI) to study the white matter and cortical gray matter microstructure in patients with NDPH. Methods This study assessed brain microstructure, including 27 patients with NDPH, and matched 28 healthy controls (HCs) by NODDI. The differences between the two groups were assessed by tract-based spatial statistics (TBSS) and surface-based analysis (SBA), focusing on the NODDI metrics (neurite density index (NDI), orientation dispersion index (ODI), and isotropic volume fraction (ISOVF)). Furthermore, we performed Pearson’s correlation analysis between the NODDI indicators and clinical characteristics. Results Compared to HCs, patients with NDPH had a reduction of density and complexity in several fiber tracts. For robust results, the fiber tracts were defined as comprising more than 100 voxels, including bilateral inferior fronto-occipital fasciculus (IFOF), left superior longitudinal fasciculus (SLF) and inferior longitudinal fasciculus (ILF), as well as right corticospinal tract (CST). Moreover, the reduction of neurite density was uncovered in the left superior and middle frontal cortex, left precentral cortex, and right lateral orbitofrontal cortex and insula. There was no correlation between the NODDI metrics of these brain regions and clinical variables or scales of relevance after the Bonferroni correction. Conclusions Our research indicated that neurite loss was detected in both white matter and cortical gray matter of patients with NDPH.

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