Early evaluation of the therapeutic effectiveness in children with epilepsy by quantitative EEG: A model of Mozart K.448 listening-a preliminary study
Identifieur interne : 000003 ( PascalFrancis/Corpus ); précédent : 000002; suivant : 000004Early evaluation of the therapeutic effectiveness in children with epilepsy by quantitative EEG: A model of Mozart K.448 listening-a preliminary study
Auteurs : Lung-Chang Lin ; Chen-Sen Ouyang ; Ching-Tai Chiang ; Hui-Chuan Wu ; Rei-Cheng YangSource :
- Epilepsy research [ 0920-1211 ] ; 2014.
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Abstract
Purpose: There are many treatments being developed for patients with epilepsy, including antiepileptic drugs, ketogenic diet and vagus nerve stimulation. To date, there is a lack of valid methods to predict at an early stage the therapeutic effects on patients with epilepsy who receive one of these treatments. Our previous studies revealed that epileptiform discharges which were observed in patients with epilepsy were significantly decreased while listening to Mozart K.448. In this study, we attempted to develop a useful marker by utilizing a quantitative electroencephalogram (qEEG) method in analyzing the features of EEG to early evaluate the effect of the music on children with epilepsy, even without epileptiform discharges. Methods: EEG segments from 19 Taiwanese children who were selected from a large screen study of music effect (eight boys and 11 girls) diagnosed with epilepsy were analyzed. EEG examinations were performed in two parallel periods in each patient; before, and while listening to Mozart K.448's first movement (8min 22s) and EEG data were compared by qEEG. EEG segments were classified into music effective/ineffective group. The term "effective" was defined as patient exposure to music resulting in over a 25% reduction in epileptiform discharges. On the contrary, the term "ineffective" was defined as patient exposure to music resulting in less than a 5% reduction in epileptiform discharges. Results: There were four global feature descriptors selected for the music effective/ineffective classification. Two descriptors, DecorrTime_avg_AVG and DecorrTime-std-AVG, were related to the EEG feature "decorrelation" whereas the other two descriptors, RelPowGamma_avg_SNR and RelPowGamma_std_SNR, were related to "relative power of gamma." There were significantly higher RelPowGamma_std_SNR (0.190±0.133 vs. -0.026±0.119, p=0.0029), DecorrTime_stdJWG (0.005 ±0.004 vs. 0.0003 ± 0.0016, p = 0.0055), DecorrTime_avgJWG (0.005±0.005 vs. -0.002±0.008, p = 0.0179), and RelPowGamma_avg_SNR (0.176±0.219 vs. -0.078 ±0.244, p=0.0222) in the effective group than in the ineffective group. The precision rate of classification was 0.953. Conclusions: Using qEEG, we have developed a useful model for predicting therapeutic effectiveness of music in patients with epilepsy. Among the limited number of patients, the tool is of potential to predict the effectiveness in patients even without epileptiform discharges. It is worthwhile in the application of other therapeutic model.
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| NO : | PASCAL 14-0237001 INIST |
|---|---|
| ET : | Early evaluation of the therapeutic effectiveness in children with epilepsy by quantitative EEG: A model of Mozart K.448 listening-a preliminary study |
| AU : | LIN (Lung-Chang); OUYANG (Chen-Sen); CHIANG (Ching-Tai); WU (Hui-Chuan); YANG (Rei-Cheng) |
| AF : | Department of Pediatrics, School of Medicine, College of Medicine, Kaohsiung Medical University/Taïwan (1 aut.); Department of Pediatrics, Kaohsiung Medical University Hospital, Kaohsiung Medical University/Taïwan (1 aut., 4 aut., 5 aut.); Department of Information Engineering, I-Shou University/Taïwan (2 aut.); Department of Computer and Communication, National Pingtung Institute of Commerce/Taïwan (3 aut.) |
| DT : | Publication en série; Niveau analytique |
| SO : | Epilepsy research; ISSN 0920-1211; Coden EPIRE8; Royaume-Uni; Da. 2014; Vol. 108; No. 8; Pp. 1417-1426; Bibl. 1 p.1/4 |
| LA : | Anglais |
| EA : | Purpose: There are many treatments being developed for patients with epilepsy, including antiepileptic drugs, ketogenic diet and vagus nerve stimulation. To date, there is a lack of valid methods to predict at an early stage the therapeutic effects on patients with epilepsy who receive one of these treatments. Our previous studies revealed that epileptiform discharges which were observed in patients with epilepsy were significantly decreased while listening to Mozart K.448. In this study, we attempted to develop a useful marker by utilizing a quantitative electroencephalogram (qEEG) method in analyzing the features of EEG to early evaluate the effect of the music on children with epilepsy, even without epileptiform discharges. Methods: EEG segments from 19 Taiwanese children who were selected from a large screen study of music effect (eight boys and 11 girls) diagnosed with epilepsy were analyzed. EEG examinations were performed in two parallel periods in each patient; before, and while listening to Mozart K.448's first movement (8min 22s) and EEG data were compared by qEEG. EEG segments were classified into music effective/ineffective group. The term "effective" was defined as patient exposure to music resulting in over a 25% reduction in epileptiform discharges. On the contrary, the term "ineffective" was defined as patient exposure to music resulting in less than a 5% reduction in epileptiform discharges. Results: There were four global feature descriptors selected for the music effective/ineffective classification. Two descriptors, DecorrTime_avg_AVG and DecorrTime-std-AVG, were related to the EEG feature "decorrelation" whereas the other two descriptors, RelPowGamma_avg_SNR and RelPowGamma_std_SNR, were related to "relative power of gamma." There were significantly higher RelPowGamma_std_SNR (0.190±0.133 vs. -0.026±0.119, p=0.0029), DecorrTime_stdJWG (0.005 ±0.004 vs. 0.0003 ± 0.0016, p = 0.0055), DecorrTime_avgJWG (0.005±0.005 vs. -0.002±0.008, p = 0.0179), and RelPowGamma_avg_SNR (0.176±0.219 vs. -0.078 ±0.244, p=0.0222) in the effective group than in the ineffective group. The precision rate of classification was 0.953. Conclusions: Using qEEG, we have developed a useful model for predicting therapeutic effectiveness of music in patients with epilepsy. Among the limited number of patients, the tool is of potential to predict the effectiveness in patients even without epileptiform discharges. It is worthwhile in the application of other therapeutic model. |
| CC : | 002B17A03 |
| FD : | Evaluation; Traitement; Efficacité; Enfant; Epilepsie; Analyse quantitative; Electroencéphalographie; Modèle; Décharge épileptiforme |
| FG : | Homme; Pathologie de l'encéphale; Pathologie du système nerveux central; Pathologie du système nerveux |
| ED : | Evaluation; Treatment; Efficiency; Child; Epilepsy; Quantitative analysis; Electroencephalography; Models; Epileptiform discharge |
| EG : | Human; Cerebral disorder; Central nervous system disease; Nervous system diseases |
| SD : | Evaluación; Tratamiento; Eficacia; Niño; Epilepsia; Análisis cuantitativo; Electroencefalografía; Modelo |
| LO : | INIST-21149.354000504892860190 |
| ID : | 14-0237001 |
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Early evaluation of the therapeutic effectiveness in children with epilepsy by quantitative EEG: A model of Mozart K.448 listening-a preliminary study</title><author><name sortKey="Lin, Lung Chang" sort="Lin, Lung Chang" uniqKey="Lin L" first="Lung-Chang" last="Lin">Lung-Chang Lin</name><affiliation><inist:fA14 i1="01"><s1>Department of Pediatrics, School of Medicine, College of Medicine, Kaohsiung Medical University</s1><s3>TWN</s3><sZ>1 aut.</sZ></inist:fA14></affiliation><affiliation><inist:fA14 i1="02"><s1>Department of Pediatrics, Kaohsiung Medical University Hospital, Kaohsiung Medical University</s1><s3>TWN</s3><sZ>1 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Ouyang, Chen Sen" sort="Ouyang, Chen Sen" uniqKey="Ouyang C" first="Chen-Sen" last="Ouyang">Chen-Sen Ouyang</name><affiliation><inist:fA14 i1="03"><s1>Department of Information Engineering, I-Shou University</s1><s3>TWN</s3><sZ>2 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Chiang, Ching Tai" sort="Chiang, Ching Tai" uniqKey="Chiang C" first="Ching-Tai" last="Chiang">Ching-Tai Chiang</name><affiliation><inist:fA14 i1="04"><s1>Department of Computer and Communication, National Pingtung Institute of Commerce</s1><s3>TWN</s3><sZ>3 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Wu, Hui Chuan" sort="Wu, Hui Chuan" uniqKey="Wu H" first="Hui-Chuan" last="Wu">Hui-Chuan Wu</name><affiliation><inist:fA14 i1="02"><s1>Department of Pediatrics, Kaohsiung Medical University Hospital, Kaohsiung Medical University</s1><s3>TWN</s3><sZ>1 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Yang, Rei Cheng" sort="Yang, Rei Cheng" uniqKey="Yang R" first="Rei-Cheng" last="Yang">Rei-Cheng Yang</name><affiliation><inist:fA14 i1="02"><s1>Department of Pediatrics, Kaohsiung Medical University Hospital, Kaohsiung Medical University</s1><s3>TWN</s3><sZ>1 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ></inist:fA14></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">14-0237001</idno><date when="2014">2014</date><idno type="stanalyst">PASCAL 14-0237001 INIST</idno><idno type="RBID">Pascal:14-0237001</idno><idno type="wicri:Area/PascalFrancis/Corpus">000003</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Early evaluation of the therapeutic effectiveness in children with epilepsy by quantitative EEG: A model of Mozart K.448 listening-a preliminary study</title><author><name sortKey="Lin, Lung Chang" sort="Lin, Lung Chang" uniqKey="Lin L" first="Lung-Chang" last="Lin">Lung-Chang Lin</name><affiliation><inist:fA14 i1="01"><s1>Department of Pediatrics, School of Medicine, College of Medicine, Kaohsiung Medical University</s1><s3>TWN</s3><sZ>1 aut.</sZ></inist:fA14></affiliation><affiliation><inist:fA14 i1="02"><s1>Department of Pediatrics, Kaohsiung Medical University Hospital, Kaohsiung Medical University</s1><s3>TWN</s3><sZ>1 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Ouyang, Chen Sen" sort="Ouyang, Chen Sen" uniqKey="Ouyang C" first="Chen-Sen" last="Ouyang">Chen-Sen Ouyang</name><affiliation><inist:fA14 i1="03"><s1>Department of Information Engineering, I-Shou University</s1><s3>TWN</s3><sZ>2 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Chiang, Ching Tai" sort="Chiang, Ching Tai" uniqKey="Chiang C" first="Ching-Tai" last="Chiang">Ching-Tai Chiang</name><affiliation><inist:fA14 i1="04"><s1>Department of Computer and Communication, National Pingtung Institute of Commerce</s1><s3>TWN</s3><sZ>3 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Wu, Hui Chuan" sort="Wu, Hui Chuan" uniqKey="Wu H" first="Hui-Chuan" last="Wu">Hui-Chuan Wu</name><affiliation><inist:fA14 i1="02"><s1>Department of Pediatrics, Kaohsiung Medical University Hospital, Kaohsiung Medical University</s1><s3>TWN</s3><sZ>1 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Yang, Rei Cheng" sort="Yang, Rei Cheng" uniqKey="Yang R" first="Rei-Cheng" last="Yang">Rei-Cheng Yang</name><affiliation><inist:fA14 i1="02"><s1>Department of Pediatrics, Kaohsiung Medical University Hospital, Kaohsiung Medical University</s1><s3>TWN</s3><sZ>1 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ></inist:fA14></affiliation></author></analytic><series><title level="j" type="main">Epilepsy research</title><title level="j" type="abbreviated">Epilepsy res.</title><idno type="ISSN">0920-1211</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Epilepsy research</title><title level="j" type="abbreviated">Epilepsy res.</title><idno type="ISSN">0920-1211</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Child</term><term>Efficiency</term><term>Electroencephalography</term><term>Epilepsy</term><term>Epileptiform discharge</term><term>Evaluation</term><term>Models</term><term>Quantitative analysis</term><term>Treatment</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Evaluation</term><term>Traitement</term><term>Efficacité</term><term>Enfant</term><term>Epilepsie</term><term>Analyse quantitative</term><term>Electroencéphalographie</term><term>Modèle</term><term>Décharge épileptiforme</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Purpose: There are many treatments being developed for patients with epilepsy, including antiepileptic drugs, ketogenic diet and vagus nerve stimulation. To date, there is a lack of valid methods to predict at an early stage the therapeutic effects on patients with epilepsy who receive one of these treatments. Our previous studies revealed that epileptiform discharges which were observed in patients with epilepsy were significantly decreased while listening to Mozart K.448. In this study, we attempted to develop a useful marker by utilizing a quantitative electroencephalogram (qEEG) method in analyzing the features of EEG to early evaluate the effect of the music on children with epilepsy, even without epileptiform discharges. Methods: EEG segments from 19 Taiwanese children who were selected from a large screen study of music effect (eight boys and 11 girls) diagnosed with epilepsy were analyzed. EEG examinations were performed in two parallel periods in each patient; before, and while listening to Mozart K.448's first movement (8min 22s) and EEG data were compared by qEEG. EEG segments were classified into music effective/ineffective group. The term "effective" was defined as patient exposure to music resulting in over a 25% reduction in epileptiform discharges. On the contrary, the term "ineffective" was defined as patient exposure to music resulting in less than a 5% reduction in epileptiform discharges. Results: There were four global feature descriptors selected for the music effective/ineffective classification. Two descriptors, DecorrTime_avg_AVG and DecorrTime-std-AVG, were related to the EEG feature "decorrelation" whereas the other two descriptors, RelPowGamma_avg_SNR and RelPowGamma_std_SNR, were related to "relative power of gamma." There were significantly higher RelPowGamma_std_SNR (0.190±0.133 vs. -0.026±0.119, p=0.0029), DecorrTime_stdJWG (0.005 ±0.004 vs. 0.0003 ± 0.0016, p = 0.0055), DecorrTime_avgJWG (0.005±0.005 vs. -0.002±0.008, p = 0.0179), and RelPowGamma_avg_SNR (0.176±0.219 vs. -0.078 ±0.244, p=0.0222) in the effective group than in the ineffective group. The precision rate of classification was 0.953. Conclusions: Using qEEG, we have developed a useful model for predicting therapeutic effectiveness of music in patients with epilepsy. Among the limited number of patients, the tool is of potential to predict the effectiveness in patients even without epileptiform discharges. It is worthwhile in the application of other therapeutic model.</div></front></TEI><inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0920-1211</s0></fA01><fA02 i1="01"><s0>EPIRE8</s0></fA02><fA03 i2="1"><s0>Epilepsy res.</s0></fA03><fA05><s2>108</s2></fA05><fA06><s2>8</s2></fA06><fA08 i1="01" i2="1" l="ENG"><s1>Early evaluation of the therapeutic effectiveness in children with epilepsy by quantitative EEG: A model of Mozart K.448 listening-a preliminary study</s1></fA08><fA11 i1="01" i2="1"><s1>LIN (Lung-Chang)</s1></fA11><fA11 i1="02" i2="1"><s1>OUYANG (Chen-Sen)</s1></fA11><fA11 i1="03" i2="1"><s1>CHIANG (Ching-Tai)</s1></fA11><fA11 i1="04" i2="1"><s1>WU (Hui-Chuan)</s1></fA11><fA11 i1="05" i2="1"><s1>YANG (Rei-Cheng)</s1></fA11><fA14 i1="01"><s1>Department of Pediatrics, School of Medicine, College of Medicine, Kaohsiung Medical University</s1><s3>TWN</s3><sZ>1 aut.</sZ></fA14><fA14 i1="02"><s1>Department of Pediatrics, Kaohsiung Medical University Hospital, Kaohsiung Medical University</s1><s3>TWN</s3><sZ>1 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ></fA14><fA14 i1="03"><s1>Department of Information Engineering, I-Shou University</s1><s3>TWN</s3><sZ>2 aut.</sZ></fA14><fA14 i1="04"><s1>Department of Computer and Communication, National Pingtung Institute of Commerce</s1><s3>TWN</s3><sZ>3 aut.</sZ></fA14><fA20><s1>1417-1426</s1></fA20><fA21><s1>2014</s1></fA21><fA23 i1="01"><s0>ENG</s0></fA23><fA43 i1="01"><s1>INIST</s1><s2>21149</s2><s5>354000504892860190</s5></fA43><fA44><s0>0000</s0><s1>© 2014 INIST-CNRS. All rights reserved.</s1></fA44><fA45><s0>1 p.1/4</s0></fA45><fA47 i1="01" i2="1"><s0>14-0237001</s0></fA47><fA60><s1>P</s1></fA60><fA61><s0>A</s0></fA61><fA64 i1="01" i2="1"><s0>Epilepsy research</s0></fA64><fA66 i1="01"><s0>GBR</s0></fA66><fC01 i1="01" l="ENG"><s0>Purpose: There are many treatments being developed for patients with epilepsy, including antiepileptic drugs, ketogenic diet and vagus nerve stimulation. To date, there is a lack of valid methods to predict at an early stage the therapeutic effects on patients with epilepsy who receive one of these treatments. Our previous studies revealed that epileptiform discharges which were observed in patients with epilepsy were significantly decreased while listening to Mozart K.448. In this study, we attempted to develop a useful marker by utilizing a quantitative electroencephalogram (qEEG) method in analyzing the features of EEG to early evaluate the effect of the music on children with epilepsy, even without epileptiform discharges. Methods: EEG segments from 19 Taiwanese children who were selected from a large screen study of music effect (eight boys and 11 girls) diagnosed with epilepsy were analyzed. EEG examinations were performed in two parallel periods in each patient; before, and while listening to Mozart K.448's first movement (8min 22s) and EEG data were compared by qEEG. EEG segments were classified into music effective/ineffective group. The term "effective" was defined as patient exposure to music resulting in over a 25% reduction in epileptiform discharges. On the contrary, the term "ineffective" was defined as patient exposure to music resulting in less than a 5% reduction in epileptiform discharges. Results: There were four global feature descriptors selected for the music effective/ineffective classification. Two descriptors, DecorrTime_avg_AVG and DecorrTime-std-AVG, were related to the EEG feature "decorrelation" whereas the other two descriptors, RelPowGamma_avg_SNR and RelPowGamma_std_SNR, were related to "relative power of gamma." There were significantly higher RelPowGamma_std_SNR (0.190±0.133 vs. -0.026±0.119, p=0.0029), DecorrTime_stdJWG (0.005 ±0.004 vs. 0.0003 ± 0.0016, p = 0.0055), DecorrTime_avgJWG (0.005±0.005 vs. -0.002±0.008, p = 0.0179), and RelPowGamma_avg_SNR (0.176±0.219 vs. -0.078 ±0.244, p=0.0222) in the effective group than in the ineffective group. The precision rate of classification was 0.953. Conclusions: Using qEEG, we have developed a useful model for predicting therapeutic effectiveness of music in patients with epilepsy. Among the limited number of patients, the tool is of potential to predict the effectiveness in patients even without epileptiform discharges. It is worthwhile in the application of other therapeutic model.</s0></fC01><fC02 i1="01" i2="X"><s0>002B17A03</s0></fC02><fC03 i1="01" i2="X" l="FRE"><s0>Evaluation</s0><s5>01</s5></fC03><fC03 i1="01" i2="X" l="ENG"><s0>Evaluation</s0><s5>01</s5></fC03><fC03 i1="01" i2="X" l="SPA"><s0>Evaluación</s0><s5>01</s5></fC03><fC03 i1="02" i2="X" l="FRE"><s0>Traitement</s0><s5>02</s5></fC03><fC03 i1="02" i2="X" l="ENG"><s0>Treatment</s0><s5>02</s5></fC03><fC03 i1="02" i2="X" l="SPA"><s0>Tratamiento</s0><s5>02</s5></fC03><fC03 i1="03" i2="X" l="FRE"><s0>Efficacité</s0><s5>03</s5></fC03><fC03 i1="03" i2="X" l="ENG"><s0>Efficiency</s0><s5>03</s5></fC03><fC03 i1="03" i2="X" l="SPA"><s0>Eficacia</s0><s5>03</s5></fC03><fC03 i1="04" i2="X" l="FRE"><s0>Enfant</s0><s5>04</s5></fC03><fC03 i1="04" i2="X" l="ENG"><s0>Child</s0><s5>04</s5></fC03><fC03 i1="04" i2="X" l="SPA"><s0>Niño</s0><s5>04</s5></fC03><fC03 i1="05" i2="X" l="FRE"><s0>Epilepsie</s0><s5>05</s5></fC03><fC03 i1="05" i2="X" l="ENG"><s0>Epilepsy</s0><s5>05</s5></fC03><fC03 i1="05" i2="X" l="SPA"><s0>Epilepsia</s0><s5>05</s5></fC03><fC03 i1="06" i2="X" l="FRE"><s0>Analyse quantitative</s0><s5>06</s5></fC03><fC03 i1="06" i2="X" l="ENG"><s0>Quantitative analysis</s0><s5>06</s5></fC03><fC03 i1="06" i2="X" l="SPA"><s0>Análisis cuantitativo</s0><s5>06</s5></fC03><fC03 i1="07" i2="X" l="FRE"><s0>Electroencéphalographie</s0><s5>07</s5></fC03><fC03 i1="07" i2="X" l="ENG"><s0>Electroencephalography</s0><s5>07</s5></fC03><fC03 i1="07" i2="X" l="SPA"><s0>Electroencefalografía</s0><s5>07</s5></fC03><fC03 i1="08" i2="X" l="FRE"><s0>Modèle</s0><s5>08</s5></fC03><fC03 i1="08" i2="X" l="ENG"><s0>Models</s0><s5>08</s5></fC03><fC03 i1="08" i2="X" l="SPA"><s0>Modelo</s0><s5>08</s5></fC03><fC03 i1="09" i2="X" l="FRE"><s0>Décharge épileptiforme</s0><s4>CD</s4><s5>96</s5></fC03><fC03 i1="09" i2="X" l="ENG"><s0>Epileptiform discharge</s0><s4>CD</s4><s5>96</s5></fC03><fC07 i1="01" i2="X" l="FRE"><s0>Homme</s0></fC07><fC07 i1="01" i2="X" l="ENG"><s0>Human</s0></fC07><fC07 i1="01" i2="X" l="SPA"><s0>Hombre</s0></fC07><fC07 i1="02" i2="X" l="FRE"><s0>Pathologie de l'encéphale</s0><s5>37</s5></fC07><fC07 i1="02" i2="X" l="ENG"><s0>Cerebral disorder</s0><s5>37</s5></fC07><fC07 i1="02" i2="X" l="SPA"><s0>Encéfalo patología</s0><s5>37</s5></fC07><fC07 i1="03" i2="X" l="FRE"><s0>Pathologie du système nerveux central</s0><s5>38</s5></fC07><fC07 i1="03" i2="X" l="ENG"><s0>Central nervous system disease</s0><s5>38</s5></fC07><fC07 i1="03" i2="X" l="SPA"><s0>Sistema nervosio central patología</s0><s5>38</s5></fC07><fC07 i1="04" i2="X" l="FRE"><s0>Pathologie du système nerveux</s0><s5>39</s5></fC07><fC07 i1="04" i2="X" l="ENG"><s0>Nervous system diseases</s0><s5>39</s5></fC07><fC07 i1="04" i2="X" l="SPA"><s0>Sistema nervioso patología</s0><s5>39</s5></fC07><fN21><s1>286</s1></fN21><fN44 i1="01"><s1>OTO</s1></fN44><fN82><s1>OTO</s1></fN82></pA></standard><server><NO>PASCAL 14-0237001 INIST</NO><ET>Early evaluation of the therapeutic effectiveness in children with epilepsy by quantitative EEG: A model of Mozart K.448 listening-a preliminary study</ET><AU>LIN (Lung-Chang); OUYANG (Chen-Sen); CHIANG (Ching-Tai); WU (Hui-Chuan); YANG (Rei-Cheng)</AU><AF>Department of Pediatrics, School of Medicine, College of Medicine, Kaohsiung Medical University/Taïwan (1 aut.); Department of Pediatrics, Kaohsiung Medical University Hospital, Kaohsiung Medical University/Taïwan (1 aut., 4 aut., 5 aut.); Department of Information Engineering, I-Shou University/Taïwan (2 aut.); Department of Computer and Communication, National Pingtung Institute of Commerce/Taïwan (3 aut.)</AF><DT>Publication en série; Niveau analytique</DT><SO>Epilepsy research; ISSN 0920-1211; Coden EPIRE8; Royaume-Uni; Da. 2014; Vol. 108; No. 8; Pp. 1417-1426; Bibl. 1 p.1/4</SO><LA>Anglais</LA><EA>Purpose: There are many treatments being developed for patients with epilepsy, including antiepileptic drugs, ketogenic diet and vagus nerve stimulation. To date, there is a lack of valid methods to predict at an early stage the therapeutic effects on patients with epilepsy who receive one of these treatments. Our previous studies revealed that epileptiform discharges which were observed in patients with epilepsy were significantly decreased while listening to Mozart K.448. In this study, we attempted to develop a useful marker by utilizing a quantitative electroencephalogram (qEEG) method in analyzing the features of EEG to early evaluate the effect of the music on children with epilepsy, even without epileptiform discharges. Methods: EEG segments from 19 Taiwanese children who were selected from a large screen study of music effect (eight boys and 11 girls) diagnosed with epilepsy were analyzed. EEG examinations were performed in two parallel periods in each patient; before, and while listening to Mozart K.448's first movement (8min 22s) and EEG data were compared by qEEG. EEG segments were classified into music effective/ineffective group. The term "effective" was defined as patient exposure to music resulting in over a 25% reduction in epileptiform discharges. On the contrary, the term "ineffective" was defined as patient exposure to music resulting in less than a 5% reduction in epileptiform discharges. Results: There were four global feature descriptors selected for the music effective/ineffective classification. Two descriptors, DecorrTime_avg_AVG and DecorrTime-std-AVG, were related to the EEG feature "decorrelation" whereas the other two descriptors, RelPowGamma_avg_SNR and RelPowGamma_std_SNR, were related to "relative power of gamma." There were significantly higher RelPowGamma_std_SNR (0.190±0.133 vs. -0.026±0.119, p=0.0029), DecorrTime_stdJWG (0.005 ±0.004 vs. 0.0003 ± 0.0016, p = 0.0055), DecorrTime_avgJWG (0.005±0.005 vs. -0.002±0.008, p = 0.0179), and RelPowGamma_avg_SNR (0.176±0.219 vs. -0.078 ±0.244, p=0.0222) in the effective group than in the ineffective group. The precision rate of classification was 0.953. Conclusions: Using qEEG, we have developed a useful model for predicting therapeutic effectiveness of music in patients with epilepsy. Among the limited number of patients, the tool is of potential to predict the effectiveness in patients even without epileptiform discharges. It is worthwhile in the application of other therapeutic model.</EA><CC>002B17A03</CC><FD>Evaluation; Traitement; Efficacité; Enfant; Epilepsie; Analyse quantitative; Electroencéphalographie; Modèle; Décharge épileptiforme</FD><FG>Homme; Pathologie de l'encéphale; Pathologie du système nerveux central; Pathologie du système nerveux</FG><ED>Evaluation; Treatment; Efficiency; Child; Epilepsy; Quantitative analysis; Electroencephalography; Models; Epileptiform discharge</ED><EG>Human; Cerebral disorder; Central nervous system disease; Nervous system diseases</EG><SD>Evaluación; Tratamiento; Eficacia; Niño; Epilepsia; Análisis cuantitativo; Electroencefalografía; Modelo</SD><LO>INIST-21149.354000504892860190</LO><ID>14-0237001</ID></server></inist></record>Pour manipuler ce document sous Unix (Dilib)
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