https://m2.mtmt.hu/
hun
2024-03-29 11:51
BookChapter
30388846
ADMIN_APPROVED
true
0
false
2022-11-18T11:06:59.471+0000
2021-12-19T19:15:39.229+0000
2019-01-12T09:58:07.520+0000
true
10015824
Fiath
Richárd
/api/admin/10015824
Admin
true
10015824
2022-11-18T11:16:12.372+0000
2021-12-19T19:15:39.240+0000
true
10003134
Wolf
György
/api/admin/10003134
Admin
true
10003134
false
false
true
25
25
/api/publicationtype/25
PublicationType
2
true
25
BookChapter
true
10000312
Conference paper
true
25
25
/api/publicationtype/25
PublicationType
2
true
25
BookChapter
/api/subtype/10000312
Konferenciaközlemény
SubType
228
true
10000312
true
1
/api/category/1
Category
true
1
Liu, Feng
Prediction of Seizure Spread Network via Sparse Representations of Overcomplete Dictionaries
262
273
262
12
2016
Epilepsy is one of the most common brain disorders and affect people of all ages. Resective surgery is currently the most effective overall treatment for patients whose seizures cannot be controlled by medications. Seizure spread network with secondary epileptogenesis are thought to be responsible for a substantial portion of surgical failures. However, there is still considerable risk of surgical failures for lacking of priori knowledge. Cortico-cortical evoked potentials (CCEP) offer the possibility of understanding connectivity within seizure spread networks to know how seizure evolves in the brain as it measures directly the intracranial electric signals. This study is one of the first works to investigate effective seizure spread network modeling using CCEP signals. The previous unsupervised brain network connectivity problem was converted into a classical supervised sparse representation problem for the first time. In particular, we developed an effective network modeling framework using sparse representation of over-determined features extracted from extensively designed experiments to predict real seizure spread network for each individual patient. The experimental results on five patients achieved prediction accuracy of about 70%, which indicates that it is possible to predict seizure spread network from stimulated CCEP networks. The developed CCEP signal analysis and network modeling approaches are promising to understand network mechanisms of epileptogenesis and have a potential to render clinicians better epilepsy surgical decisions in the future.
2019
true
true
true
true
false
NONE
2022-11-18
false
0
0
0
0
0
0
0
0
0
0
0
0
3
3
false
false
false
false
2021-12-18T19:15:38.206+0000
4
21
0
4
0
true
true
10002
English
/api/language/10002
Angol
Language
true
2
false
true
10489
true
10011
/api/country/10011
Country
true
5
/api/city/10489
City
true
1022992
true
16660986
/api/publicationidentifier/16660986
https://www.worldcat.org/search?q=isbn%3A9783319471020
9783319471020
PublicationIdentifier
false
/api/publication/31194039
true
true
23
23
/api/publicationtype/23
PublicationType
3
true
23
Book
International Conference on Brain Informatics and Health, BIH 2016
false
31194039
false
true
true
true
true
10000144
Conference proceedings
true
23
23
/api/publicationtype/23
PublicationType
3
true
23
Book
/api/subtype/10000144
Konferenciakötet
SubType
345
true
10000144
false
Book
2016
true
1
/api/category/1
Category
true
1
false
Language
10002
/api/language/10002
Angol
English
true
2
true
PersonAuthorship
84991739
/api/authorship/84991739
1
0.0
true
false
Liu
Feng
true
false
false
AuthorshipType
1
/api/authorshiptype/1
0
true
0
true
false
true
PersonAuthorship
84991740
/api/authorship/84991740
2
0.0
false
false
Xiang
Wei
true
false
false
AuthorshipType
1
/api/authorshiptype/1
0
true
0
true
false
true
PersonAuthorship
84991741
/api/authorship/84991741
3
0.0
false
false
Wang
Shouyi
true
false
false
AuthorshipType
1
/api/authorshiptype/1
0
true
0
true
false
true
PersonAuthorship
84991742
/api/authorship/84991742
4
0.0
false
true
Lega
Bradley
true
false
false
AuthorshipType
1
/api/authorshiptype/1
0
true
0
true
false
true
PublicationIdentifier
15122871
/api/publicationidentifier/15122871
IDENTICAL
10.1007/978-3-319-47103-7_26
https://doi.org/10.1007/978-3-319-47103-7_26
false
true
PublicationIdentifier
15122870
/api/publicationidentifier/15122870
IDENTICAL
000389498800026
https://www.webofscience.com/wos/woscc/full-record/WOS:000389498800026
false
true
Keyword
13281
/api/keyword/13281
true
13281
true
Keyword
1343539
/api/keyword/1343539
true
1343539
true
Keyword
1547891
/api/keyword/1547891
true
true
Keyword
1547906
/api/keyword/1547906
true
true
Keyword
1548339
/api/keyword/1548339
true
true
/api/publication/30388846
<div class="BookChapter Publication short-list"> <div class="authors"> <span class="author-name" > Liu, Feng </span> <span class="author-type"> </span> ; <span class="author-name" > Xiang, Wei </span> <span class="author-type"> </span> ; <span class="author-name" > Wang, Shouyi </span> <span class="author-type"> </span> ; <span class="author-name" > Lega, Bradley </span> <span class="author-type"> </span> </div ><div class="title"><a href="/gui2/?mode=browse¶ms=publication;30388846" mtid="30388846" target="_blank">Prediction of Seizure Spread Network via Sparse Representations of Overcomplete Dictionaries</a></div> <div class="InBook">In: Hawrylycz, M.; Khazanchi, D.; Ascoli, G.A.; Shi, Y.; Ali, H. (szerk.) <span class="booktitle"><a href="/gui2/?mode=browse¶ms=publication;31194039" target="_blank">International Conference on Brain Informatics and Health, BIH 2016 </a></span > </div><div class="pub-info"> <span class="publishedAt">Berlin, Németország : <span class="publisher">Springer-Verlag</span> <span class="year">(2016)</span> <span class="page"> pp. 262-273. , 12 p. </span> </div> <div class="pub-end"><div class="identifier-list"> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1007/978-3-319-47103-7_26" target="_blank" href="https://doi.org/10.1007/978-3-319-47103-7_26"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000389498800026" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/WOS:000389498800026"> WoS </a> </span> </span> </div> <div class="short-pub-prop-list"> <span class="short-pub-mtid"> Közlemény:30388846 </span> <span class="status-holder"><span class="status-data status-ADMIN_APPROVED"> Admin láttamozott </span></span> <span class="pub-core"> Idéző </span> <span class="pub-type">Könyvrészlet (Konferenciaközlemény ) </span> <!-- && !record.category.scientific --> <span class="pub-category">Tudományos</span> </div> </div> </div><div class="BookChapter Publication long-list">
<div class="authors">
<img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png">
<div class="autype autype0"> <span class="author-name" >Liu Feng
</span>
;
<span class="author-name" >Xiang Wei
</span>
;
<span class="author-name" >Wang Shouyi
</span>
;
<span class="author-name" >Lega Bradley
</span>
</div>
</div>
<div class="title"><a href="/gui2/?mode=browse¶ms=publication;30388846" target="_blank">Prediction of Seizure Spread Network via Sparse Representations of Overcomplete Dictionaries</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors">
<div class="autype autype-1"> <span class="author-name" >Hawrylycz M.
</span>
;
<span class="author-name" >Khazanchi D.
</span>
;
<span class="author-name" >Ascoli G.A.
</span>
;
<span class="author-name" >Shi Y.
</span>
;
<span class="author-name" >Ali H.
</span>
(szerk.) </div>
</div>
<div class="booktitle"><a href="/gui2/?mode=browse¶ms=publication;31194039" target="_blank">International Conference on Brain Informatics and Health, BIH 2016 </a></div>
<div class="conference">
Konferencia helye, ideje:
<span class="conference-date">2016.10.13.
-
2016.10.16.</span>
</div> <span class="editionNumber">(1)</span>
<span class="publishedAt">Berlin:
<span class="publishers">Springer-Verlag</span>,
<span class="page">
pp 262-273
</span> <span class="year">(2016)</span>
(
<span class="seriesTitle">Lecture Notes in Computer Science</span>
<span class="issn">0302-9743</span>
<span class="issn">1611-3349</span>
<span class="seriesVolume">; 9919 LNAI</span>)
</div>
<div class="pub-footer">
<span class="language" xmlns="http://www.w3.org/1999/html">Nyelv:
Angol
| </span>
<span class="identifiers">
<span class="id identifier oa_none" title="none">
<a style="color:blue" title="10.1007/978-3-319-47103-7_26" target="_blank" href="https://doi.org/10.1007/978-3-319-47103-7_26">
DOI
</a>
</span>
<span class="id identifier oa_none" title="none">
<a style="color:blue" title="000389498800026" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/WOS:000389498800026">
WoS
</a>
</span>
</span>
<span class="bookchapter-ids">Befoglaló link(ek):</span> <span class="identifiers">
<span class="id identifier oa_none" title="none">
<span class="isbnOrIssn"> ISBN: </span>
<a style="color:black" title="9783319471020" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9783319471020">
9783319471020
</a>
</span>
</span>
<div class="publication-citation">
<a target="_blank" href="/api/publication?cond=citations.related;eq;30388846&sort=publishedYear,desc&sort=title">
Idézett közlemények száma: 3
</a>
</div>
<div class="mtid"><span class="long-pub-mtid">Közlemény: 30388846</span>
| <span class="status-data status-ADMIN_APPROVED"> Admin láttamozott
</span>
<span class="long-book-mtid">Befoglaló: 31194039</span>
Idéző
| <span class="type-subtype">Könyvrészlet
( Konferenciaközlemény
)
</span>
| <span class="pub-category">Tudományos</span>
| <span class="publication-sourceOfData">WoS XML</span>
</div>
<div class="lastModified">Utolsó módosítás: 2021.12.19. 20:15 Wolf György (MTMT Központi admin)
</div>
</div>
</div>