Department of Neurology, Mayo Clinic, AZ, USA.
School of Computing Informatics and Decision Systems Engineering, Arizona State University, AZ, USA.
Headache. 2017 Nov;57(10):1522-1531. doi: 10.1111/head.13193. Epub 2017 Oct 4.
To interrogate hippocampal morphology and structural co-variance patterns in migraine patients and to investigate whether structural co-variance patterns relate to migraine disease characteristics.
Migraine is associated with structural alterations in widespread cortical and subcortical regions associated with the sensory, cognitive, and affective components of pain processing. Recent studies have shown that migraine patients have differences in hippocampal structure and function relative to healthy control subjects, but whether hippocampal structure relates to disease characteristics including frequency of attacks, years lived with migraine and symptoms of allodynia remains unknown. Furthermore, this study investigated hippocampal volume co-variance patterns in migraineurs, an indirect measure of brain network connectivity. Here, we explore differences in hippocampal volume and structural co-variance patterns in migraine patients relative to healthy controls and examine whether these hippocampal measures relate to migraine disease burden.
This study included 61 migraine patients and 57 healthy control subjects (healthy controls: median age = 34.0, IQR = 19.0; migraine patients: median age = 35.0, IQR = 17.5; P = .65). Regional brain volumes were automatically calculated using FreeSurfer version 5.3. Symptoms of allodynia were determined using the Allodynia Symptom Checklist 12 (ASC-12). Structural co-variance patterns were interrogated using pairwise correlations and group differences in correlation strength were estimated using Euclidian distance. A stepwise regression was used to investigate the relationship between structural co-variance patterns with migraine burden.
Migraine patients had less left hippocampal volume (healthy controls: left hippocampal volume = 4276.8 mm , SD = 425.3 mm , migraine patients: left hippocampal volume = 4089.5 mm , SD = 453.9 mm , P = .02) and less total (right plus left) hippocampal volume (healthy controls: total hippocampal volume= 8690.8 mm , SD = 855.1 mm ; migraine patients: total hippocampal volume = 8341.8 mm , SD = 917.9 mm ; P = .03) compared to healthy controls. Migraineurs had stronger structural covariance between the hippocampi and cortico-limbic regions in the frontal lobe (inferior opercular gyrus), temporal lobe (planum temporale, amygdala), parietal lobe (angular gyrus, precuneus), and the cerebellar white matter. Results of a stepwise regression showed that hippocampal volumes and the interactions between hippocampal volumes with the volumes of other cortico-limbic regions associate with migraine-related allodynia but not with headache frequency or years lived with migraine.
Migraineurs have less hippocampal volume and stronger hippocampal-cortico-limbic connectivity compared to healthy controls. Hippocampal volumes and measures of hippocampal volume connectivity with other cortico-limbic network regions associate with symptoms of allodynia.
探讨偏头痛患者的海马形态和结构协变模式,并研究结构协变模式是否与偏头痛疾病特征相关。
偏头痛与广泛的皮质和皮质下区域的结构改变有关,这些区域与疼痛处理的感觉、认知和情感成分有关。最近的研究表明,偏头痛患者的海马结构和功能与健康对照组存在差异,但海马结构是否与包括发作频率、偏头痛生存年限和感觉异常症状在内的疾病特征有关尚不清楚。此外,本研究还探讨了偏头痛患者的海马体积协变模式,这是大脑网络连通性的间接测量方法。在这里,我们探讨了偏头痛患者与健康对照组相比,海马体积和结构协变模式的差异,并研究了这些海马测量指标与偏头痛疾病负担的关系。
本研究纳入了 61 名偏头痛患者和 57 名健康对照组(健康对照组:中位年龄=34.0,IQR=19.0;偏头痛患者:中位年龄=35.0,IQR=17.5;P=0.65)。使用 FreeSurfer 版本 5.3 自动计算脑区体积。使用 Allodynia Symptom Checklist 12(ASC-12)评估感觉异常症状。使用成对相关性来探究结构协变模式,并使用欧几里得距离估计组间相关性强度的差异。使用逐步回归来研究结构协变模式与偏头痛负担之间的关系。
偏头痛患者的左侧海马体积较小(健康对照组:左侧海马体积=4276.8mm,SD=425.3mm;偏头痛患者:左侧海马体积=4089.5mm,SD=453.9mm;P=0.02),总海马体积也较小(右侧+左侧)(健康对照组:总海马体积=8690.8mm,SD=855.1mm;偏头痛患者:总海马体积=8341.8mm,SD=917.9mm;P=0.03)。与健康对照组相比,偏头痛患者的海马与额叶(下外侧回)、颞叶(颞平面、杏仁核)、顶叶(角回、楔前叶)和小脑白质之间的结构协变更强。逐步回归的结果表明,海马体积以及海马体积与其他皮质边缘区域之间的相互作用与偏头痛相关的感觉异常有关,但与头痛频率或偏头痛生存年限无关。
与健康对照组相比,偏头痛患者的海马体积较小,海马与皮质边缘区域的连接较强。海马体积以及海马体积与其他皮质边缘网络区域的连接程度与感觉异常症状相关。