Introduction: Both ketamine (KET) and medial prefrontal cortex (mPFC) deep brain stimulation (DBS) are emerging therapies for treatment-resistant depression, yet our understanding of their electrophysiological mechanisms and biomarkers is incomplete. This study investigates aperiodic and periodic spectral parameters, and the signal complexity measure sample entropy, within mPFC local field potentials (LFP) in a chronic corticosterone (CORT) depression model after ketamine and/or mPFC DBS.
Methods: Male rats were intraperitoneally administered CORT or vehicle for 21 days. Over the last 7 days, animals receiving CORT were treated with mPFC DBS, KET, both, or neither; then tested across an array of behavioral tasks for 9 days.
Results: We found that the depression-like behavioral and weight effects of CORT correlated with a decrease in aperiodic-adjusted theta power (5-10 Hz) and an increase in sample entropy during the administration phase, and an increase in theta peak frequency and a decrease in the aperiodic exponent once the depression-like phenotype had been induced. The remission-like behavioral effects of ketamine alone correlated with a post-treatment increase in the offset and exponent, and decrease in sample entropy, both immediately and up to eight days post-treatment. The remission-like behavioral effects of mPFC DBS alone correlated with an immediate decrease in sample entropy, an immediate and sustained increase in low gamma (20-50 Hz) peak width and aperiodic offset, and sustained improvements in cognitive function. Failure to fully induce remission-like behavior in the combinatorial treatment group correlated with a failure to suppress an increase in sample entropy immediately after treatment.
Conclusion: Our findings therefore support the potential of periodic theta parameters as biomarkers of depression-severity; and periodic low gamma parameters and cognitive measures as biomarkers of mPFC DBS treatment efficacy. They also support sample entropy and the aperiodic spectral parameters as potential cross-modal biomarkers of depression severity and the therapeutic efficacy of mPFC DBS and/or ketamine. Study of these biomarkers is important as objective measures of disease severity and predictive measures of therapeutic efficacy can be used to personalize care and promote the translatability of research across studies, modalities, and species.
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http://dx.doi.org/10.3389/fnins.2024.1389096 | DOI Listing |
Sci Rep
January 2025
Facultad de Ingeniería, Universidad Austral, LIDTUA, CIC, Buenos Aires, Argentina.
Studies of microbial communities vary widely in terms of analysis methods. In this growing field, the wide variety of diversity measures and lack of consistency make it harder to compare different studies. Most existing alpha diversity metrics are inherited from other disciplines and their assumptions are not always directly meaningful or true for microbiome data.
View Article and Find Full Text PDFNat Commun
January 2025
Joint Center for Quantum Information and Computer Science (QuICS), University of Maryland & NIST, College Park, MD, USA.
Quantum computers are now on the brink of outperforming their classical counterparts. One way to demonstrate the advantage of quantum computation is through quantum random sampling performed on quantum computing devices. However, existing tools for verifying that a quantum device indeed performed the classically intractable sampling task are either impractical or not scalable to the quantum advantage regime.
View Article and Find Full Text PDFNanoscale
January 2025
J. Heyrovský Institute of Physical Chemistry, Czech Acad. Sci., Dolejškova 3, CZ-18200, Prague 8, Czech Republic.
Compositionally complex doping of spinel oxides toward high-entropy oxides is expected to enhance their electrochemical performance substantially. We successfully prepared high-entropy compounds, the oxide (ZnMgCoCu)FeO (HEOFe), lithiated oxyfluoride Li(ZnMgCoCu)FeOF (LiHEOFeF), and lithiated oxychloride Li(ZnMgCoCu)FeOCl (LiHEOFeCl) with a spinel-based cubic structure by ball milling and subsequent heat treatment. The products exhibit particles with sizes from 50 to 200 nm with a homogeneous atomic distribution.
View Article and Find Full Text PDFAnal Chem
January 2025
School of Chemistry and Materials Science, Jiangsu Normal University, Xuzhou, Jiangsu 221116, China.
Conventional solid/liquid electrochemical interfaces typically encounter challenges with impeded mass transport for poor electrochemical quantification due to the intricate pathways of reactants from the bulk solution. To address this issue, this work reports an innovative approach integrating a target-activated DNA framework nanomachine with electrochemically driven metal-organic framework (MOF) conversion for self-sacrificial biosensing. The presence of the target biomarker serotonin initiates the DNA framework nanomachine by an entropy-driven circuit to form a cross-linked nanostructure and subsequently release the Fe-MOF probe.
View Article and Find Full Text PDFBMC Bioinformatics
December 2024
College of Computer and Information Engineering/College of Artificial Intelligence, Nanjing Tech University, Nanjing, 210093, China.
Background: The collection of substantial amounts of electroencephalogram (EEG) data is typically time-consuming and labor-intensive, which adversely impacts the development of decoding models with strong generalizability, particularly when the available data is limited. Utilizing sufficient EEG data from other subjects to aid in modeling the target subject presents a potential solution, commonly referred to as domain adaptation. Most current domain adaptation techniques for EEG decoding primarily focus on learning shared feature representations through domain alignment strategies.
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