Bispectral EEG (BSEEG) quantifying neuro-inflammation in mice induced by systemic inflammation: A potential mouse model of delirium

Takehiko Yamanashi; Johnny R Malicoat; Kalvon T Steffen; Kasra Zarei; Rui Li; Benton S Purnell; Annice Najafi; Kenji Saito; Uday Singh; Brandon A Toth; Shelley Lee; Michael E Dailey; Huxing Cui; Koichi Kaneko; Hyunkeun Ryan Cho; Masaaki Iwata; Gordon F Buchanan; Gen Shinozaki

doi:10.1016/j.jpsychires.2020.12.036

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Bispectral EEG (BSEEG) quantifying neuro-inflammation in mice induced by systemic inflammation: A potential mouse model of delirium

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Bispectral EEG (BSEEG) quantifying neuro-inflammation in mice induced by systemic inflammation: A potential mouse model of delirium

Takehiko Yamanashi, Johnny R Malicoat, Kalvon T Steffen, Kasra Zarei, Rui Li, Benton S Purnell, Annice Najafi, Kenji Saito, Uday Singh, Brandon A Toth, …

Journal of psychiatric research, Vol.133, pp.205-211

01/2021

DOI: 10.1016/j.jpsychires.2020.12.036

PMID: 33360427

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Abstract

Most of the animal studies using inflammation-induced cognitive change have relied on behavioral testing without objective and biologically solid methods to quantify the severity of cognitive disturbances. We have developed a bispectral EEG (BSEEG) method using a novel algorithm in clinical study. This method effectively differentiates between patients with and without delirium, and predict long-term mortality. In the present study, we aimed to apply our bispectral EEG (BSEEG) method, which can detect patients with delirium, to a mouse model of delirium with systemic inflammation induced by lipopolysaccharides (LPS) injection. We recorded EEG after LPS injection using wildtype early adulthood mice (2~3-month-old) and aged mice (18–19-month-old). Animal EEG recordings were converted for power spectral density to calculate BSEEG score using the similar BSEEG algorithm previously developed for our human study. The BSEEG score was relatively stable and slightly high during the day. Alternatively, the BSEEG score was erratic and low in average during the night. LPS injection increased the BSEEG score dose-dependently and diminished the diurnal changes. The mean BSEEG score increased much more in the aged mice group as dosage increased. Our results suggest that BSEEG method can objectively “quantify” level of neuro-Inflammation induced by systemic inflammation (LPS), and that this BSEEG method can be useful as a model of delirium in mice. [Display omitted] •BSEEG method can detect diurnal change of brain waves of mice.•LPS injection diminished the diurnal changes.•LPS injection increased the BSEEG score (suggesting more low-frequency brain wave).•BSEEG method can objectively “quantify” level of neuro-Inflammation induced by LPS.•Potentially useful as a model of delirium in mice.

Delirium

Mice

Inflammation

LPS

BSEEG

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Title: Subtitle: Bispectral EEG (BSEEG) quantifying neuro-inflammation in mice induced by systemic inflammation: A potential mouse model of delirium
Creators: Takehiko Yamanashi - University of Iowa Carver College of Medicine, Department of Psychiatry, Iowa City, IA, USA
Johnny R Malicoat - University of Iowa Carver College of Medicine, Department of Psychiatry, Iowa City, IA, USA
Kalvon T Steffen - University of Iowa Carver College of Medicine, Department of Psychiatry, Iowa City, IA, USA
Kasra Zarei - University of Iowa Carver College of Medicine, Department of Psychiatry, Iowa City, IA, USA
Rui Li - University of Iowa Carver College of Medicine, Department of Neurology, Iowa City, IA, USA
Benton S Purnell - University of Iowa Carver College of Medicine, Department of Neurology, Iowa City, IA, USA
Annice Najafi - University of Iowa Carver College of Medicine, Department of Psychiatry, Iowa City, IA, USA
Kenji Saito - University of Iowa Carver College of Medicine, Department of Neuroscience and Pharmacology, Iowa City, IA, USA
Uday Singh - University of Iowa Carver College of Medicine, Department of Neuroscience and Pharmacology, Iowa City, IA, USA
Brandon A Toth - University of Iowa Carver College of Medicine, Department of Neuroscience and Pharmacology, Iowa City, IA, USA
Shelley Lee - University of Iowa College of Liberal Arts and Sciences, Department of Biology, Iowa City, IA, USA
Michael E Dailey - University of Iowa College of Liberal Arts and Sciences, Department of Biology, Iowa City, IA, USA
Huxing Cui - University of Iowa Carver College of Medicine, Department of Neuroscience and Pharmacology, Iowa City, IA, USA
Koichi Kaneko - Tottori University Faculty of Medicine, Department of Neuropsychiatry, Yonago, Japan
Hyunkeun Ryan Cho - University of Iowa College of Public Health, Department of Biostatistics, Iowa City, IA, USA
Masaaki Iwata - Tottori University Faculty of Medicine, Department of Neuropsychiatry, Yonago, Japan
Gordon F Buchanan - University of Iowa Carver College of Medicine, Department of Neurology, Iowa City, IA, USA
Gen Shinozaki - University of Iowa Carver College of Medicine, Department of Psychiatry, Iowa City, IA, USA
Resource Type: Journal article
Publication Details: Journal of psychiatric research, Vol.133, pp.205-211
DOI: 10.1016/j.jpsychires.2020.12.036
PMID: 33360427
NLM abbreviation: J Psychiatr Res
ISSN: 0022-3956
eISSN: 1879-1379
Publisher: Elsevier Ltd
Grant note: DOI: 10.13039/100008893, name: University of Iowa
Language: English
Date published: 01/2021
Academic Unit: Neurology; Psychiatry; Microbiology and Immunology; Pathology; Iowa Neuroscience Institute; Biostatistics; Biology; Anesthesia; Fraternal Order of Eagles Diabetes Research Center; Neuroscience and Pharmacology; Neurosurgery
Record Identifier: 9984070738102771

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