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KMID : 1137820210420060295
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의공학회지
2021 Volume.42 No. 6 p.295 ~ p.303
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Correlation Analysis Between Gait Pattern and Structural Features of Cerebral Cortex in Patients with Idiopathic Normal Pressure Hydrocephalus
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Yun Eun-Kyeong
Kang Kyung-Hun
Yoon Ui-Cheul
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Abstract
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Idiopathic normal-pressure hydrocephalus (INPH) is considered a potentially treatable neurological dis- order by shunt surgery and characterized by a triad of symptoms including gait disturbance, cognitive impairment and urinary dysfunction. Although disorders of white matter are generally viewed as the principal pathological fea- tures of INPH, analysis of cortical features are important since the destruction of neural tracts could be associated with cortical structural changing. The aim of the study was to determine whether there was any relationship between gait parameter and structural features of cerebral cortex in INPH patients. Gait parameters were measured as fol- lows: step width, toe in/out angle, coefficient of variation (CV) value of stride length, CV value of stride time. After obtaining individual brain MRI of patients with INPH and hemispheric cortical surfaces were automatically extracted from each MR volume, which reconstructed the inner and outer cortical surface. Then, cortical thickness, surface area, and volume were calculated from the cortical surface. As a result, step width was positively correlated with bilateral postcentral gyrus and left precentral gyrus, and toe in/out was positively correlated with left posterior pari- etal cortex and left insula. Also, the CV value of stride length showed positive correlation in the right superior frontal sulcus, left insula, and the CV value of stride time showed positive correlation in the right superior frontal sulcus. Unique parameter of cerebral cortical changes, as measured using MRI, might underline impairments in distinct gait parameters in patients with INPH.
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KEYWORD
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Idiopathic normal-pressure hydrocephalus, Gait disturbance, Magnetic resonance imaging, Cortical thickness, Cortical surface area, Cortical volume
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