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Trading baseline with forelimbs somatosensory evoked potential for longitudinal analysis in thoracic transection spinal cord injury.
Al-Nashash, Hasan; Luo, Shiyu; Liu, Xiaogang; All, Angelo H.
Afiliación
  • Al-Nashash H; Department of Electrical Engineering, College of Engineering, ESB-2018, Engineering Science Building, American University of Sharjah, University City, Sharjah, 26666, United Arab Emirates. Electronic address: hnashash@aus.edu.
  • Luo S; Department of Biomedical Engineering, School of Medicine, Johns Hopkins University, Traylor Building, 720 Rutland Ave., Baltimore, MD, 21205, USA. Electronic address: sluo15@jhu.edu.
  • Liu X; Department of Chemistry, Faculty of Science, National University of Singapore, Singapore; The N.1 Institute for Health, National University of Singapore, Singapore. Electronic address: chmlx@nus.edu.sg.
  • All AH; Department of Chemistry, Faculty of Science, Hong Kong Baptist University, #844 Sir Run Run Shaw Building, Ho Sin Hang Campus, Hong Kong. Electronic address: angelo@hkbu.edu.hk.
J Neurosci Methods ; 343: 108858, 2020 09 01.
Article en En | MEDLINE | ID: mdl-32653385
Patients who suffered from spinal cord injury (SCI) that come to healthcare professionals for diagnosis and treatment do not have electrophysiology baseline of somatosensory evoked potential (SSEP). The SSEP has always been used in research for data comparison to detect onset and severity of the SCI as well as for assessing its progress, endogenous and therapeutic recovery. This unmet need has motivated us to develop a new tool to substitute the baseline data with forelimb SSEP data of the same day. In this study, we report the development and investigation of three distinctive thoracic transections (right T10 hemi-transection (Rxl), left T8 and right T10 double hemi-transection (Dxl) and T8 complete transection (Cxl)) spinal cord injuries in an adult rat model. We used our well-established monitoring methods to obtain SSEP baselines as well as post-injury signals from days 4, 7, 14 and 21. We observed that spectral coherences obtained from non-injured spinal cord pathways are always above 0.8. The spectral coherence is dimensionless measure with values between 0 and 1 and measures the correlation between two time signals in the frequency domain. Analysis of variance (ANOVA) results also showed that there is a significant difference between the spectral coherence componanet means before and after injury with reaching p = 0.05 for Rxl, p = 0.02 for DxI, and p = 0.00 for CxI. Our signal processing enables us to replicate comparable detection of the natural history of injuries longitudinally without the implication of baseline SSEP signals, highlighting the potential of this analysis method for clinical studies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Traumatismos de la Médula Espinal / Potenciales Evocados Somatosensoriales Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: J Neurosci Methods Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Traumatismos de la Médula Espinal / Potenciales Evocados Somatosensoriales Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: J Neurosci Methods Año: 2020 Tipo del documento: Article
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