ORIGINAL RESEARCH article
Front. Pharmacol.
Sec. Neuropharmacology
Volume 16 - 2025 | doi: 10.3389/fphar.2025.1562102
Title Functional Ultrasound Imaging and Prewhitening Analysis Reveal MK-801-Induced Disruption of Brain Network Connectivity
Provisionally accepted
Erik Hakopian1
Argishti Stepanian1Shan Zhong2Kofi Agyeman2Nancy Zepeda2
Kevin Wu2
Charles Liu2Darrin J Lee2
Vasileios Christopoulos2*- 1University of California, Riverside, Riverside, California, United States
- 2University of Southern California, Los Angeles, California, United States
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Background: Disruption of N-methyl-D-aspartate receptor (NMDAR) activity within the septohippocampal network -a critical circuit that includes the hippocampus, medial prefrontal cortex (mPFC) and other nuclei -is believed to contribute to learning and memory impairments. Although animal models using the NMDAR antagonist Dizocilpine (MK-801) replicate cognitive deficits associated with memory and learning disorders, the direct effects of MK-801 on brain network connectivity have not been well characterized.Objective: This study aims to explore the effects of MK-801 on brain network connectivity using functional ultrasound imaging (fUSI) and apply time series analysis methods to mitigate potential statistical confounds in functional connectivity assessments.Methods: fUSI was employed to assess changes in cerebral blood volume (CBV) and network connectivity in MK-801-treated mice. To account for the nonstationarity and autocorrelation inherent in fUSI time series, an AutoRegressive Integrated Moving Average (ARIMA) model was applied to stabilize the mean and remove autocorrelation, ensuring more reliable signal analysis.Results: Our analysis revealed that MK-801 significantly disrupts functional connectivity (FC) across key brain regions, including the hippocampus, mPFC, and striatum.We also demonstrated that removing autocorrelation from the fUSI time series mitigates the risk of spurious associations, enhancing the reliability of network analysis.This study demonstrates the importance of accounting for nonstationarity in fSUI time series to improve the accuracy of brain network connectivity analysis.Our findings indicate that MK-801-induced NMDAR inhibition disrupts connectivity both within and outside the septohippocampal circuit, offering new insights into the neural mechanisms underlying cognitive deficits in disorders affecting memory and learning.
Keywords: Functional ultrasound imaging (fUSI), Brain network connectivity, Prewhitening analysis, MK-801, NMDAR inhibition, Memory, Learning, neuropsychiatric disorders
Received: 16 Jan 2025; Accepted: 02 Apr 2025.
Copyright: © 2025 Hakopian, Stepanian, Zhong, Agyeman, Zepeda, Wu, Liu, Lee and Christopoulos. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Vasileios Christopoulos, University of Southern California, Los Angeles, 90089, California, United States
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.