Liu-Cheng Chen1,2, Xiaofen Li3, Longshan Shen4. 1. Department of radiology, The First Affiliated Hospital of Bengbu Medical College, Anhui Key Laboratory of Digital Medicine and Intelligent Health, Bengbu, China. 2. Department of Imaging Diagnosis, Medical Imaging College, Bengbu Medical College, Bengbu, China. 3. Department of radiology, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China. 4. Department of radiology, The Second Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Abstract
OBJECTIVE: The fractional amplitude of low-frequency fluctuation (fALFF) method was used to identify the regional brain activity deficits of self-limited focal epilepsy with centrotemporal spikes (SLFECS) relative to normal controls (NCs). METHODS: A total of 21 SLFECS (10 females, 11 males; mean age, 8.57 ± 1.5 years) and 21 status-matched (age, sex, and education) NCs (10 females, 11 males; mean age, 8.76 ± 2.19 years) were recruited. The fALFF method was applied to identify SLFECS-related regional brain alterations. Receiver operating characteristic (ROC) curve was applied to identify the ability of these regional brain areas in distinguishing the SLFECS group from the NCs group. The relationships between the regional brain activity deficits and clinical features were evaluated by Pearson's correlation analysis. RESULTS: Self-limited focal epilepsy with centrotemporal spikes was associated with widespread regional brain activity alterations, including left cuneus with higher fALFF values, and bilateral striatum, bilateral precentral gyrus, ventral and dorsal pathway of sensory area, left dorsolateral prefrontal cortex, and left Rolandic area with lower fALFF values. ROC curve revealed excellent AUC value (0.964) of these areas in distinguishing the SLFECS group from the NCs group with high degree of sensitivity (90.5%) and specificity (95.2%). Intelligence quotient score positively correlated with the fALFF value in the left striatum (r = 0.453, p = 0.039). CONCLUSIONS: The fALFF parameter could be served as a potential biomarker to identify the SLFECS-related regional brain deficits in the sensorimotor cortex and their pathways, which may be the etiology of paresthesia in SLFECS.
OBJECTIVE: The fractional amplitude of low-frequency fluctuation (fALFF) method was used to identify the regional brain activity deficits of self-limited focal epilepsy with centrotemporal spikes (SLFECS) relative to normal controls (NCs). METHODS: A total of 21 SLFECS (10 females, 11 males; mean age, 8.57 ± 1.5 years) and 21 status-matched (age, sex, and education) NCs (10 females, 11 males; mean age, 8.76 ± 2.19 years) were recruited. The fALFF method was applied to identify SLFECS-related regional brain alterations. Receiver operating characteristic (ROC) curve was applied to identify the ability of these regional brain areas in distinguishing the SLFECS group from the NCs group. The relationships between the regional brain activity deficits and clinical features were evaluated by Pearson's correlation analysis. RESULTS: Self-limited focal epilepsy with centrotemporal spikes was associated with widespread regional brain activity alterations, including left cuneus with higher fALFF values, and bilateral striatum, bilateral precentral gyrus, ventral and dorsal pathway of sensory area, left dorsolateral prefrontal cortex, and left Rolandic area with lower fALFF values. ROC curve revealed excellent AUC value (0.964) of these areas in distinguishing the SLFECS group from the NCs group with high degree of sensitivity (90.5%) and specificity (95.2%). Intelligence quotient score positively correlated with the fALFF value in the left striatum (r = 0.453, p = 0.039). CONCLUSIONS: The fALFF parameter could be served as a potential biomarker to identify the SLFECS-related regional brain deficits in the sensorimotor cortex and their pathways, which may be the etiology of paresthesia in SLFECS.
Authors: Jun Yang; Yi Shao; Yan-Kun Shen; Hong-Shui Zhu; Bin Li; Qiu-Yue Yu; Min Kang; San-Hua Xu; Ping Ying; Qian Ling; Jie Zou; Hong Wei; Yu-Lin He Journal: Front Neurol Date: 2022-06-23 Impact factor: 4.086