【摘 要】
：
Background: At present,it is well known that functional connectivity at specific frequency bands canbe used to discriminate individuals with idiopathic generalized epilepsy(IGE)from controls,and sugge
【机 构】
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Key laboratory for NeuroInformation of Ministry of Education,School of Life Science and Technology a
【出 处】
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2015年中国生物医学工程联合学术年会
论文部分内容阅读
Background: At present,it is well known that functional connectivity at specific frequency bands canbe used to discriminate individuals with idiopathic generalized epilepsy(IGE)from controls,and suggested that the relationships with symptom severityare stronger in specific frequency bands.However,whether amplitude of low-frequency fluctuation(ALFF)of blood-oxygenation level-dependent(BLOD)at specific frequency bands can be used to distinguish individuals with IGE from controls remains to be elucidated.Methods:140 subjects(16–48 years old,70 IGE patients with generalized tonic-clonic seizures(48/22,males/females)and 70 age-matched healthy controls(31/39,males/females)from JinlingHospital,Nanjing University School of Medicine were included.Functional MRI data were acquired with a 2s repetition time.The amplitudes of BLOD fluctuations were constructedin the Slow-5(0.01–0.027 Hz)and Slow-4(0.027–0.073 Hz)frequency bands,which were then used as classificationfeatures.Results: The thalamus and prefrontal cortex showed significant group differences in routine amplitude analysis.Most of the discriminative feature were concentrated on the Slow-4band.We obtained an accuracy of 95%(Slow-5 band),90%(Slow-4 band)and 89%(full band)by using support vector machine.Conclusion: We demonstrated the classificationfeatures offrequency-specific using ALFF analysis were of significant benefit.Our findings may potentially help to improve the clinical diagnosis and treatment of IGE.
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