Danilo Bernardo1, Hiroki Nariai2, Shaun A Hussain2, Raman Sankar2, Noriko Salamon3, Darcy A Krueger4, Mustafa Sahin5, Hope Northrup6, E Martina Bebin7, Joyce Y Wu2. 1. Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA. Electronic address: dbernardoj@gmail.com. 2. Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA. 3. Division of Neuroradiology, Department of Radiology, Ronald Reagan UCLA Medical Center, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA. 4. Division of Neurology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. 5. Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. 6. Division of Medical Genetics, Department of Pediatrics, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA. 7. Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.
Abstract
OBJECTIVES: We aim to establish that interictal fast ripples (FR; 250-500 Hz) are detectable on scalp EEG, and to investigate their association to epilepsy. METHODS: Scalp EEG recordings of a subset of children with tuberous sclerosis complex (TSC)-associated epilepsy from two large multicenter observational TSC studies were analyzed and compared to control children without epilepsy or any other brain-based diagnoses. FR were identified both by human visual review and compared with semi-automated review utilizing a deep learning-based FR detector. RESULTS: Seven out of 7 children with TSC-associated epilepsy had scalp FR compared to 0 out of 4 children in the control group (p = 0.003). The automatic detector has a sensitivity of 98% and false positive rate with average of 11.2 false positives per minute. CONCLUSIONS: Non-invasive detection of interictal scalp FR was feasible, by both visual and semi-automatic detection. Interictal scalp FR occurred exclusively in children with TSC-associated epilepsy and were absent in controls without epilepsy. The proposed detector achieves high sensitivity of FR detection; however, expert review of the results to reduce false positives is advised. SIGNIFICANCE: Interictal FR are detectable on scalp EEG and may potentially serve as a biomarker of epilepsy in children with TSC.
OBJECTIVES: We aim to establish that interictal fast ripples (FR; 250-500 Hz) are detectable on scalp EEG, and to investigate their association to epilepsy. METHODS:Scalp EEG recordings of a subset of children with tuberous sclerosis complex (TSC)-associated epilepsy from two large multicenter observational TSC studies were analyzed and compared to control children without epilepsy or any other brain-based diagnoses. FR were identified both by human visual review and compared with semi-automated review utilizing a deep learning-based FR detector. RESULTS: Seven out of 7 children with TSC-associated epilepsy had scalp FR compared to 0 out of 4 children in the control group (p = 0.003). The automatic detector has a sensitivity of 98% and false positive rate with average of 11.2 false positives per minute. CONCLUSIONS: Non-invasive detection of interictal scalp FR was feasible, by both visual and semi-automatic detection. Interictal scalp FR occurred exclusively in children with TSC-associated epilepsy and were absent in controls without epilepsy. The proposed detector achieves high sensitivity of FR detection; however, expert review of the results to reduce false positives is advised. SIGNIFICANCE: Interictal FR are detectable on scalp EEG and may potentially serve as a biomarker of epilepsy in children with TSC.
Authors: Marian E Williams; Deborah A Pearson; Jamie K Capal; Anna W Byars; Donna S Murray; Robin Kissinger; Sarah E O'Kelley; Ellen Hanson; Nicole M Bing; Bridget Kent; Joyce Y Wu; Hope Northrup; E Martina Bebin; Mustafa Sahin; Darcy Krueger Journal: Am Psychol Date: 2019-04
Authors: Banu Ahtam; Mathieu Dehaes; Danielle D Sliva; Jurriaan M Peters; Darcy A Krueger; Elizabeth Martina Bebin; Hope Northrup; Joyce Y Wu; Simon K Warfield; Mustafa Sahin; Patricia Ellen Grant Journal: J Neuroimaging Date: 2019-07-14 Impact factor: 2.486
Authors: Carlos Cepeda; Simon Levinson; Hiroki Nariai; Vannah-Wila Yazon; Conny Tran; Joshua Barry; Katerina D Oikonomou; Harry V Vinters; Aria Fallah; Gary W Mathern; Joyce Y Wu Journal: Neurobiol Dis Date: 2019-10-17 Impact factor: 5.996
Authors: Dorottya Cserpan; Ece Boran; Santo Pietro Lo Biundo; Richard Rosch; Johannes Sarnthein; Georgia Ramantani Journal: Brain Commun Date: 2021-03-23
Authors: Zhengxiang Cai; Abbas Sohrabpour; Haiteng Jiang; Shuai Ye; Boney Joseph; Benjamin H Brinkmann; Gregory A Worrell; Bin He Journal: Proc Natl Acad Sci U S A Date: 2021-04-27 Impact factor: 11.205