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Kanai S, Oguri M, Okanishi T, Miyamoto Y, Maeda M, Yazaki K, Matsuura R, Tozawa T, Sakuma S, Chiyonobu T, Hamano SI, Maegaki Y. Predictive modeling based on functional connectivity of interictal scalp EEG for infantile epileptic spasms syndrome. Clin Neurophysiol 2024; 167:37-48. [PMID: 39265289 DOI: 10.1016/j.clinph.2024.08.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 08/20/2024] [Accepted: 08/24/2024] [Indexed: 09/14/2024]
Abstract
OBJECTIVE This study aims to delineate the electrophysiological variances between patients with infantile epileptic spasms syndrome (IESS) and healthy controls and to devise a predictive model for long-term seizure outcomes. METHODS The cohort consisted of 30 individuals in the seizure-free group, 23 in the seizure-residual group, and 20 in the control group. We conducted a comprehensive analysis of pretreatment electroencephalography, including the relative power spectrum (rPS), weighted phase-lag index (wPLI), and network metrics. Follow-up EEGs at 2 years of age were also analyzed to elucidate physiological changes among groups. RESULTS Infants in the seizure-residual group exhibited increased rPS in theta and alpha bands at IESS onset compared to the other groups (all p < 0.0001). The control group showed higher rPS in fast frequency bands, indicating potentially enhanced cognitive function. The seizure-free group presented increased wPLI across all frequency bands (all p < 0.0001). Our predictive model utilizing wPLI anticipated long-term outcomes at IESS onset (area under the curve 0.75). CONCLUSION Our findings demonstrated an initial "hypersynchronous state" in the seizure-free group, which was ameliorated following successful treatment. SIGNIFICANCE This study provides a predictive model utilizing functional connectivity and insights into the diverse electrophysiology observed among outcome groups of IESS.
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Affiliation(s)
- Sotaro Kanai
- Division of Child Neurology, Institute of Neurological Sciences, Faculty of Medicine, Tottori University, 86 Nishi-cho, Yonago 683-8503, Japan.
| | - Masayoshi Oguri
- Department of Medical Technology, Kagawa Prefectural University of Health Sciences, 281-1 Mure-cho, Takamatsu 761-0123, Japan
| | - Tohru Okanishi
- Division of Child Neurology, Institute of Neurological Sciences, Faculty of Medicine, Tottori University, 86 Nishi-cho, Yonago 683-8503, Japan
| | - Yosuke Miyamoto
- Department of Pediatrics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Masanori Maeda
- Department of Pediatrics, Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-8509, Japan
| | - Kotaro Yazaki
- Department of Pediatrics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan
| | - Ryuki Matsuura
- Division of Neurology, Saitama Children's Medical Center, 1-2 Shintoshin, Chuo-ku, Saitama 330-8777, Japan
| | - Takenori Tozawa
- Department of Pediatrics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Satoru Sakuma
- Department of Pediatrics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan
| | - Tomohiro Chiyonobu
- Department of Pediatrics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Shin-Ichiro Hamano
- Division of Neurology, Saitama Children's Medical Center, 1-2 Shintoshin, Chuo-ku, Saitama 330-8777, Japan
| | - Yoshihiro Maegaki
- Division of Child Neurology, Institute of Neurological Sciences, Faculty of Medicine, Tottori University, 86 Nishi-cho, Yonago 683-8503, Japan
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Yindeedej V, Uda T, Nishijima S, Inoue T, Kuki I, Fukuoka M, Nukui M, Okazaki S, Kunihiro N, Umaba R, Goto T. Changes in interhemispheric coherence after total corpus callosotomy: a scalp EEG study in children with non-lesional generalized epilepsy. Childs Nerv Syst 2024; 40:2483-2489. [PMID: 38687362 DOI: 10.1007/s00381-024-06435-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 04/27/2024] [Indexed: 05/02/2024]
Abstract
PURPOSE Coherence analysis in electroencephalography (EEG) allows measurement of the degree of consistency of amplitude between pairs of electrodes. Theoretically, disconnective epilepsy surgery should decrease coherence between corresponding areas. The study aimed to evaluate postoperative changes in interhemispheric coherence values after corpus callosotomy (CC). METHODS Non-lesional, drug-resistant, generalized epilepsy patients who underwent total CC were retrospectively collected. To evaluate coherence, we divided the scalp interictal EEG into "baseline" and "discharge" states after excluding periods with artifacts. Interhemispheric coherence values were obtained between eight pairs of symmetrically opposite scalp electrodes in six different frequency bands. We analyzed both pre- and postoperative EEG sessions and calculated the percentage of difference (POD) in coherence values. RESULTS We collected 13 patients and analyzed 2496 interhemispheric coherence values. Preoperative coherence values differed significantly between baseline and discharge states (p = 0.0003), but postoperative values did not (p = 0.11). For baseline state, coherence values were decreased after CC and median POD was - 22.3% (p < 0.0001). Delta frequency showed the most decreased POD (-44.3%, p = 0.0009). Median POD was lowest in the Fp1-Fp2 pair of electrodes. For discharge state, coherence values were decreased after CC and median POD was - 24.7% (p < 0.0001). Delta frequency again showed the most decreased POD (-55.9%, p = 0.0016). Median POD was lowest in the F7-F8 pair. CONCLUSION After total CC, interhemispheric coherence decreased significantly in both baseline and discharge states. The most decreased frequency band was the delta band, which may be used as a representative frequency band in future studies.
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Affiliation(s)
- Vich Yindeedej
- Department of Neurosurgery, Osaka Metropolitan University, Graduate School of Medicine, Osaka, Japan
- Department of Pediatric Neurosurgery, Osaka City General Hospital, Osaka, Japan
- Division of Neurosurgery, Department of Surgery, Thammasat University Hospital, Faculty of Medicine, Thammasat University, Pathumthani, Thailand
| | - Takehiro Uda
- Department of Neurosurgery, Osaka Metropolitan University, Graduate School of Medicine, Osaka, Japan.
- Department of Pediatric Neurosurgery, Osaka City General Hospital, Osaka, Japan.
| | - Shugo Nishijima
- Department of Neurosurgery, Osaka Metropolitan University, Graduate School of Medicine, Osaka, Japan
| | - Takeshi Inoue
- Department of Pediatric Neurology, Osaka City General Hospital, Osaka, Japan
| | - Ichiro Kuki
- Department of Pediatric Neurology, Osaka City General Hospital, Osaka, Japan
| | - Masataka Fukuoka
- Department of Pediatric Neurology, Osaka City General Hospital, Osaka, Japan
| | - Megumi Nukui
- Department of Pediatric Neurology, Osaka City General Hospital, Osaka, Japan
| | - Shin Okazaki
- Department of Pediatric Neurology, Osaka City General Hospital, Osaka, Japan
| | - Noritsugu Kunihiro
- Department of Pediatric Neurosurgery, Osaka City General Hospital, Osaka, Japan
| | - Ryoko Umaba
- Department of Pediatric Neurosurgery, Osaka City General Hospital, Osaka, Japan
| | - Takeo Goto
- Department of Neurosurgery, Osaka Metropolitan University, Graduate School of Medicine, Osaka, Japan
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Arai Y, Okanishi T, Kanai S, Nakamura Y, Sunada H, Murakami H, Yamauchi K, Noma H, Maegaki Y. Prediction model for long-term seizure and developmental outcomes among children with infantile epileptic spasms syndrome. Front Neurol 2023; 14:1195252. [PMID: 37521298 PMCID: PMC10382128 DOI: 10.3389/fneur.2023.1195252] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 06/05/2023] [Indexed: 08/01/2023] Open
Abstract
Introduction Children with infantile epileptic spasms syndrome (IESS) are likely to experience poor outcomes. Researchers have investigated the factors related to its long-term prognosis; however, none of them developed a predictive model. Objective This study aimed to clarify the factors that influence the long-term prognosis of seizures and their development and to create a prediction model for IESS. Materials and methods We conducted a retrospective cohort study enrolling participants diagnosed with IESS at the Tottori University Hospital. We examined the seizure and developmental status at 3 and 7 years after the IESS onset and divided the participants into favorable and poor outcome groups. Subsequently, we analyzed the factors associated with the poor outcome group and developed a prediction model at 3 years by setting cutoff values using the receiver operating characteristic curve. Results Data were obtained from 44 patients with IESS (19 female patients and 25 male patients). Three years after epileptic spasms (ES) onset, seizure and development were the poor outcomes in 15 (34.9%) and 27 (61.4%) patients, respectively. The persistence of ES or tonic seizures (TS) after 90 days of onset, moderate or severe magnetic resonance imaging abnormalities, and developmental delay before IESS onset were significantly associated with poor outcomes. Seven years after the onset of ES, seizures and development were the poor outcomes in 9 (45.0%) and 13 (72.2%) patients, respectively. We found that no factor was significantly associated with poor seizure outcomes, and only developmental delay before IESS onset was significantly associated with poor developmental outcomes. Our prediction model demonstrated 86.7% sensitivity and 64.3% specificity for predicting poor seizure outcomes and 88.9% sensitivity and 100% specificity for predicting poor developmental outcomes. Conclusion Our prediction model may be useful for predicting the long-term prognosis of seizures and their development after 3 years. Understanding the long-term prognosis during the initial treatment may facilitate the selection of appropriate treatment.
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Affiliation(s)
- Yuto Arai
- Division of Child Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Japan
| | - Tohru Okanishi
- Division of Child Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Japan
| | - Sotaro Kanai
- Division of Child Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Japan
| | - Yuko Nakamura
- Division of Child Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Japan
| | - Hiroshi Sunada
- Advanced Medicine, Innovation and Clinical Research Center, Tottori University Hospital, Yonago, Japan
| | | | | | - Hisashi Noma
- Department of Data Science, The Institute of Statistical Mathematics, Tokyo, Japan
| | - Yoshihiro Maegaki
- Division of Child Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Japan
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Corpus Callosotomy: Editorial. Brain Sci 2022; 12:brainsci12081006. [PMID: 36009068 PMCID: PMC9405958 DOI: 10.3390/brainsci12081006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 07/28/2022] [Indexed: 11/16/2022] Open
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Okanishi T, Fujimoto A. Corpus Callosotomy for Controlling Epileptic Spasms: A Proposal for Surgical Selection. Brain Sci 2021; 11:brainsci11121601. [PMID: 34942903 PMCID: PMC8699195 DOI: 10.3390/brainsci11121601] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 11/30/2021] [Accepted: 11/30/2021] [Indexed: 11/25/2022] Open
Abstract
In 1940, van Wagenen and Herren first proposed the corpus callosotomy (CC) as a surgical procedure for epilepsy. CC has been mainly used to treat drop attacks, which are classified as generalized tonic or atonic seizures. Epileptic spasms (ESs) are a type of epileptic seizure characterized as brief muscle contractions with ictal polyphasic slow waves on an electroencephalogram and a main feature of West syndrome. Resection surgeries, including frontal/posterior disconnections and hemispherotomy, have been established for the treatment of medically intractable ES in patients with unilaterally localized epileptogenic regions. However, CC has also been adopted for ES treatment, with studies involving CC to treat ES having increased since 2010. In those studies, patients without lesions observed on magnetic resonance imaging or equally bilateral lesions predominated, in contrast to studies on resection surgeries. Here, we present a review of relevant literature concerning CC and relevant adaptations. We discuss history and adaptations of CC, and patient selection for epilepsy surgeries due to medically intractable ES, and compared resection surgeries with CC. We propose a surgical selection flow involving resection surgery or CC as first-line treatment for patients with ES who have been assessed as suitable candidates for surgery.
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Affiliation(s)
- Tohru Okanishi
- Division of Child Neurology, Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago 683-8503, Japan
- Comprehensive Epilepsy Center, Seirei Hamamatsu General Hospital, Hamamatsu 430-8558, Japan;
- Correspondence: ; Tel.: +81-859-38-67721; Fax: +81-859-38-6770
| | - Ayataka Fujimoto
- Comprehensive Epilepsy Center, Seirei Hamamatsu General Hospital, Hamamatsu 430-8558, Japan;
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Oguri M, Okanishi T, Kanai S, Baba S, Nishimura M, Ogo K, Himoto T, Okanari K, Maegaki Y, Enoki H, Fujimoto A. Phase Lag Analyses on Ictal Scalp Electroencephalography May Predict Outcomes of Corpus Callosotomy for Epileptic Spasms. Front Neurol 2021; 11:576087. [PMID: 33424739 PMCID: PMC7793812 DOI: 10.3389/fneur.2020.576087] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 11/11/2020] [Indexed: 11/13/2022] Open
Abstract
Objective: We aimed to clarify the patterns of ictal power and phase lag among bilateral hemispheres on scalp electroencephalography (EEG) recorded pre-operatively during epileptic spasms (ESs) and the correlation with the outcomes following corpus callosotomy. Methods: We enrolled 17 patients who underwent corpus callosotomy for ESs before 20 years of age. After corpus callosotomy, seven patients did not experience further ESs (favorable outcome group), and the remaining 10 patients had ongoing ESs (unfavorable outcome group). We used pre-operative scalp EEG data from monopolar montages using the average reference. The relative power spectrum (PS), ictal power laterality (IPL) among the hemispheres, and phase lag, calculated by the cross-power spectrum (CPS) among symmetrical electrodes (i.e., F3 and F4), were analyzed in the EEG data of ESs from 143 pre-operative scalp video-EEG records. Analyses were conducted separately in each frequency band from the delta, theta, alpha, beta, and gamma range. We compared the means of those data in each patient between favorable and unfavorable outcome groups. Results: Among all frequency bands, no significant differences were seen in the individual mean relative PSs in the favorable and unfavorable outcome group. Although the mean IPLs in each patient tended to be high in the unfavorable outcome group, no significant differences were found. The mean CPSs in the delta, theta, and gamma frequency bands were significantly higher in the unfavorable than in the favorable outcome group. Using the Youden index, the optimal cutoff points of those mean CPS values for unfavorable outcomes were 64.00 in the delta band (sensitivity: 100%, specificity: 80%), 74.20 in the theta band (100, 80%), and 82.05 in the gamma band (100, 80%). Subanalyses indicated that those CPS differences originated from pairs of symmetrical electrodes in the bilateral frontal and temporal areas. Significance: Ictal power and laterality of the ictal power in each frequency band were not associated with the outcomes of CC; however, the phase lags seen in the delta, theta, and gamma frequency bands were larger in the unfavorable than in the favorable outcome group. The phase lags may predict outcomes of CC for ESs on pre-surgical scalp-ictal EEGs.
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Affiliation(s)
- Masayoshi Oguri
- Department of Medical Technology, Kagawa Prefectural University of Health Sciences, Takamatsu, Japan
| | - Tohru Okanishi
- Division of Child Neurology, Faculty of Medicine, Institute of Neurological Sciences, Tottori University, Yonago, Japan.,Department of Child Neurology, Seirei-Hamamatsu General Hospital, Hamamatsu, Japan
| | - Sotaro Kanai
- Division of Child Neurology, Faculty of Medicine, Institute of Neurological Sciences, Tottori University, Yonago, Japan.,Department of Child Neurology, Seirei-Hamamatsu General Hospital, Hamamatsu, Japan
| | - Shimpei Baba
- Department of Child Neurology, Seirei-Hamamatsu General Hospital, Hamamatsu, Japan
| | - Mitsuyo Nishimura
- Department of Clinical Laboratory, University of Tsukuba Hospital, Tsukuba, Japan
| | - Kaoru Ogo
- Department of Medical Technology, Kagawa Prefectural University of Health Sciences, Takamatsu, Japan
| | - Takashi Himoto
- Department of Medical Technology, Kagawa Prefectural University of Health Sciences, Takamatsu, Japan
| | - Kazuo Okanari
- Department of Pediatrics, Faculty of Medicine, Oita University, Yufu, Japan
| | - Yoshihiro Maegaki
- Division of Child Neurology, Faculty of Medicine, Institute of Neurological Sciences, Tottori University, Yonago, Japan
| | - Hideo Enoki
- Department of Child Neurology, Seirei-Hamamatsu General Hospital, Hamamatsu, Japan
| | - Ayataka Fujimoto
- Comprehensive Epilepsy Center, Seirei-Hamamatsu General Hospital, Hamamatsu, Japan
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