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18 results on '"Ufongene, Claire"'

1. Neuropsychiatric complications of coronavirus disease 2019: Mount Sinai Health System cohort study

Author

Gururangan, Kapil, Peschansky, Veronica J., Van Hyfte, Grace, Agarwal, Parul, Blank, Leah J., Mathew, Brian, Goldstein, Jonathan, Kwon, Churl-Su, McCarthy, Louise, Cohen, Ariella, Chan, Andy Ho Wing, Deng, Pojen, Dhamoon, Mandip, Gutzwiller, Eveline, Hao, Qing, He, Celestine, Klenofsky, Britany, Lemus, Hernan Nicolas, Marcuse, Lara, Navis, Allison, Heredia Nunez, Wilson D., Luckey, Mallory N., Schorr, Emily M., Singh, Anuradha, Tantillo, Gabriela B., Ufongene, Claire, Young, James J., Balchandani, Priti, Festa, Joanne R., Naasan, Georges, Charney, Alexander W., Nadkarni, Girish N., and Jetté, Nathalie

Published
2024
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3. Deep learning from wristband sensor data: towards wearable, non-invasive seizure forecasting

Author

Meisel, Christian, Atrache, Rima El, Jackson, Michele, Schubach, Sarah, Ufongene, Claire, and Loddenkemper, Tobias

Subjects
Quantitative Biology - Neurons and Cognition, Electrical Engineering and Systems Science - Signal Processing
Abstract

Seizure forecasting may provide patients with timely warnings to adapt their daily activities and help clinicians deliver more objective, personalized treatments. While recent work has convincingly demonstrated that seizure risk assessment is possible, these early approaches relied largely on complex, often invasive setups including intracranial electrocorticography, implanted devices and multi-channel EEG, which limits translation of these methods to broad clinical application. To facilitate broader adaptation of seizure forecasting in clinical practice, non-invasive, easily applicable techniques that reliably assess seizure risk, in combination with clinical information, are crucial. Wristbands that continuously record physiological parameters, including electrodermal activity, body temperature, blood volume pressure and actigraphy, may afford monitoring of autonomous nervous system function and movement relevant for such a task, hence minimizing potential complications associated with invasive monitoring, and avoiding stigma associated with bulky external monitoring devices on the head. Here, we use deep learning to analyze long-term, multi-modal wristband sensor data from 50 patients with epilepsy (total duration $>$1400 hours) to assess its capability to distinguish preictal from interictal states. Prediction performance is assessed using area under the receiver operating charateristic (AUC) and improvement over chance (IoC) based on F1 scores. Using one- and two-dimensional convolutional neural networks, we identified better-than-chance predictability in out-of-sample test data in 60\% of the patients in leave-one-out and 43\% of patients in pseudo-prospective approaches. These results provide a step towards developing easier to apply, non-invasive methods for seizure risk assessments in patients with epilepsy.

Published
2019

7. Older Adults with Epilepsy and COVID-19: Outcomes in a Multi-Hospital Health System

Author

Ufongene, Claire, primary, Van Hyfte, Grace, additional, Agarwal, Parul, additional, Goldstein, Jonathan, additional, Mathew, Brian, additional, Navis, Alison, additional, McCarthy, Louise, additional, Kwon, Churl-Su, additional, Gururangan, Kapil, additional, Balchandani, Priti, additional, Marcuse, Lara, additional, Naasan, Georges, additional, Singh, Anuradha, additional, Young, James, additional, Charney, Alexander, additional, Nadkarni, Girish, additional, Jetté, Nathalie, additional, and Blank, Leah J., additional

Published
2023
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9. In‐hospital outcomes in patients with and without epilepsy diagnosed with COVID‐19—A cohort study

Author

Ufongene, Claire, primary, Van Hyfte, Grace, additional, Agarwal, Parul, additional, Blank, Leah J., additional, Goldstein, Jonathan, additional, Mathew, Brian, additional, Lin, Jung‐Yi, additional, Navis, Allison, additional, McCarthy, Louise, additional, Gururangan, Kapil, additional, Peschansky, Veronica, additional, Kwon, Churl‐Su, additional, Cohen, Ariella, additional, Chan, Andy Ho Wing, additional, Dhamoon, Mandip, additional, Deng, Pojen, additional, Gutzwiller, Eveline M., additional, Hao, Qing, additional, He, Celestine, additional, Heredia Nunez, Wilson D., additional, Klenofsky, Britany, additional, Lemus, Hernan Nicolas, additional, Marcuse, Lara, additional, Roberts, Mallory, additional, Schorr, Emily M., additional, Singh, Anuradha, additional, Tantillo, Gabriela, additional, Young, James, additional, Balchandani, Priti, additional, Festa, Joanne, additional, Naasan, Georges, additional, Charney, Alexander, additional, Nadkarni, Girish, additional, and Jetté, Nathalie, additional

Published
2023
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14. Seizure detection using wearable sensors and machine learning: Setting a benchmark

Author

Tang, Jianbin, primary, El Atrache, Rima, additional, Yu, Shuang, additional, Asif, Umar, additional, Jackson, Michele, additional, Roy, Subhrajit, additional, Mirmomeni, Mahtab, additional, Cantley, Sarah, additional, Sheehan, Theodore, additional, Schubach, Sarah, additional, Ufongene, Claire, additional, Vieluf, Solveig, additional, Meisel, Christian, additional, Harrer, Stefan, additional, and Loddenkemper, Tobias, additional

Published
2021
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18. Literacy limitations to psychological evaluation tools: The case of MU.

Author

Luo C, Ufongene C, and Weintraub J

Subjects
Humans, Female, Literacy, Surveys and Questionnaires, Depressive Disorder, Major diagnosis, Depressive Disorder, Major psychology, Stress Disorders, Post-Traumatic diagnosis, Stress Disorders, Post-Traumatic psychology, Torture
Abstract

Introduction to the reader In this case, a survivor of torture presents with symptoms clinically consistent with both major depressive disorder (MDD) and post-traumatic stress disorder (PTSD). During her evaluation, a validated psychological questionnaire for PTSD was administered verbally through a translator and accurately identified this diagnosis. However, a self-administered (read and completed by the client) questionnaire for MDD vastly underestimated the severity of her symptoms and failed to diagnose her with depression. The client had not completed grade school, so it is likely that her literacy level impacted the accuracy of this questionnaire. This highlights one of the many limitations that exist when administering psychological surveys. Through understanding these limitations, forensic evaluators can develop ways to identify, mitigate, and overcome limitations of these useful tools.

Published
2022
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