The Journals of Gerontology Series ANeurosciencePeer-reviewed journal article
The bispectral EEG (BSEEG) method quantifies post-operative delirium-like states in young and aged mice after head mount implantation surgery
Tsuyoshi NishiguchiiD, Kazuki ShibataiD, Kyosuke YamanishiiD, Mia Nicole Dittrich, Noah Yuki Islam, Shivani S. PateliD, Nathan James PhuongiD, Pedro S. MarraiD, Johnny R. MalicoatiD, Tomoteru SekiiD, Yoshitaka Nishizawa, Takehiko YamanashiiD, Masaaki IwataiD, Gen ShinozakiiD
Abstract
Delirium, a syndrome characterized by an acute change in attention, awareness, and cognition, is commonly observed in older adults and has multiple potential triggers, including illness, drug, trauma, and surgery. There are few quantitative monitoring methods in clinical settings. We developed the bispectral electroencephalography (BSEEG) method in clinical research that can detect the presence of and quantify the severity of delirium using a novel algorithm. In the pre-clinical model, we reported that the BSEEG method can capture a delirium-like state in mice following LPS administration. However, its application to post-operative delirium (POD) has not yet been validated in animal experiments. Therefore, this study aimed to create a POD model mouse with the BSEEG method by monitoring BSEEG scores after EEG head-mount implantation surgery throughout the recovery phase. We compared the BSEEG scores of C57BL/6J young (2-3 months old) with aged (18-19 months old) mice for quantitative evaluation of the delirium-like state after the surgery. Postoperatively, both groups showed increased BSEEG scores and a loss of regular diurnal changes in BSEEG scores every daytime and night. In young mice, BSEEG scores and regular diurnal changes recovered relatively quickly to baseline by around postoperative day 3. On the other hand, aged mice had prolonged increases in postoperative BSEEG scores and it reached steady state only after around postoperative day 8. This study suggests the BSEEG method can be utilized to quantitatively evaluate POD and also assess the effect of aging on recovery from POD in pre-clinical model.
- organism: mouse
- assay: electronic health records
- research focus: benchmarking
- approach: experimental assay
- Citations
- 7
- FWCI
- 2.63
- Field percentile
- top 11%
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