EPILEPSY & BEHAVIOR - Journal - Bridge of Knowledge

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EPILEPSY & BEHAVIOR

ISSN:

1525-5050

eISSN:

1525-5069

Disciplines
(Field of Science):

  • biomedical engineering (Engineering and Technology)
  • medical biology (Medical and Health Sciences )
  • pharmacology and pharmacy (Medical and Health Sciences )
  • medical sciences (Medical and Health Sciences )
  • health sciences (Medical and Health Sciences )
  • family studies (Family studies)
  • educational sciences (Social studies)
  • biotechnology (Natural sciences)
  • biological sciences (Natural sciences)

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Ministry points - current year
Year Points List
Year 2024 100 Ministry scored journals list 2024
Ministry points - previous years
Year Points List
2024 100 Ministry scored journals list 2024
2023 100 Ministry Scored Journals List
2022 100 Ministry Scored Journals List 2019-2022
2021 100 Ministry Scored Journals List 2019-2022
2020 100 Ministry Scored Journals List 2019-2022
2019 100 Ministry Scored Journals List 2019-2022
2018 25 A
2017 25 A
2016 25 A
2015 25 A
2014 25 A
2013 25 A
2012 25 A
2011 25 A
2010 27 A

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Hybrid - transformation agreement

Points CiteScore:

Points CiteScore - current year
Year Points
Year 2022 5.1
Points CiteScore - previous years
Year Points
2022 5.1
2021 4.5
2020 4.2
2019 4.1
2018 4.6
2017 4.7
2016 4.3
2015 3.9
2014 4
2013 3.7
2012 4
2011 3.7

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Catalog Journals

Year 2023
Year 2018
  • Ripple oscillations in the left temporal neocortex are associated with impaired verbal episodic memory encoding
    Publication
    • Z. Waldman
    • L. Camarillo-Rodriguez
    • I. Chervenova
    • B. Berry
    • S. Shimamoto
    • B. Elahian
    • M. T. Kucewicz
    • C. Ganne
    • X. He
    • L. A. Davis... and 17 others

    - EPILEPSY & BEHAVIOR - Year 2018

    BACKGROUND: We sought to determine if ripple oscillations (80-120 Hz), detected in intracranial electroencephalogram (iEEG) recordings of patients with epilepsy, correlate with an enhancement or disruption of verbal episodic memory encoding. METHODS: We defined ripple and spike events in depth iEEG recordings during list learning in 107 patients with focal epilepsy. We used logistic regression models (LRMs) to investigate the...

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