Degenerate time-dependent network dynamics anticipate seizures in human epileptic brain
Publication Date
April 05, 2018
Authors
Adrià Tauste Campo, Alessandro Principe, Miguel Ley, Rodrigo Rocamora, et al
Volume
16
Issue
4
Pages
e2002580
DOI
https://dx.plos.org/10.1371/journal.pbio.2002580
Publisher URL
http://journals.plos.org/plosbiology/article?id=10.1371%2Fjournal.pbio.2002580
Scopus
85046397605
Mendeley
http://www.mendeley.com/research/degenerate-timedependent-network-dynamics-anticipate-seizures-human-epileptic-brain
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Mendeley | Further Information

{"title"=>"Degenerate time-dependent network dynamics anticipate seizures in human epileptic brain", "type"=>"journal", "authors"=>[{"first_name"=>"Adrià", "last_name"=>"Tauste Campo"}, {"first_name"=>"Alessandro", "last_name"=>"Principe"}, {"first_name"=>"Miguel", "last_name"=>"Ley"}, {"first_name"=>"Rodrigo", "last_name"=>"Rocamora"}, {"first_name"=>"Gustavo", "last_name"=>"Deco"}], "year"=>2018, "source"=>"PLOS Biology", "identifiers"=>{"doi"=>"10.1371/journal.pbio.2002580", "sgr"=>"85046397605", "pui"=>"621967567", "scopus"=>"2-s2.0-85046397605", "issn"=>"1545-7885", "pmid"=>"29621233", "isbn"=>"1111111111"}, "id"=>"c7a66470-9d15-34d0-9420-9d6289b09dbf", "abstract"=>"Epileptic seizures are known to follow specific changes in brain dynamics. While some algorithms can nowadays robustly detect these changes, a clear understanding of the mechanism by which these alterations occur and generate seizures is still lacking. Here, we provide crossvalidated evidence that such changes are initiated by an alteration of physiological network state dynamics. Specifically, our analysis of long intracranial electroencephalography (iEEG) recordings from a group of 10 patients identifies a critical phase of a few hours in which time-dependent network states become less variable (\"degenerate\"), and this phase is followed by a global functional connectivity reduction before seizure onset. This critical phase is characterized by an abnormal occurrence of highly correlated network instances and is shown to be particularly associated with the activity of the resected regions in patients with validated postsurgical outcome. Our approach characterizes preseizure network dynamics as a cascade of 2 sequential events providing new insights into seizure prediction and control.", "link"=>"http://www.mendeley.com/research/degenerate-timedependent-network-dynamics-anticipate-seizures-human-epileptic-brain", "reader_count"=>29, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>1, "Researcher"=>9, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>3, "Student > Postgraduate"=>2, "Other"=>3, "Lecturer"=>3, "Lecturer > Senior Lecturer"=>2, "Student > Master"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>1, "Researcher"=>9, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>3, "Student > Postgraduate"=>2, "Other"=>3, "Lecturer"=>3, "Lecturer > Senior Lecturer"=>2, "Student > Master"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>4, "Unspecified"=>4, "Mathematics"=>2, "Medicine and Dentistry"=>4, "Agricultural and Biological Sciences"=>3, "Neuroscience"=>5, "Physics and Astronomy"=>1, "Psychology"=>2, "Computer Science"=>3, "Biochemistry, Genetics and Molecular Biology"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>4}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>4}, "Neuroscience"=>{"Neuroscience"=>5}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Psychology"=>{"Psychology"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Computer Science"=>{"Computer Science"=>3}, "Mathematics"=>{"Mathematics"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>4}}, "group_count"=>4}

Scopus | Further Information

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