Ischemic stroke (IS) commonly results in long-term disability, largely due to alterations in neuronal networks. In repeatable rodent IS model under naturalistic conditions, the difficulty of capturing single-cell neuronal activities and how this solves a long-standing challenge is still remained. Here, we combined a photothrombotic stroke model with head-mounted miniaturized two-photon microscopy (mTPM) to achieve longitudinal, real-time imaging of GABAergic neurons in the contralesional primary motor cortex (M1) in freely moving mice. We observed pronounced reductions in calcium dynamics in GABAergic neurons. These calcium dynamics emerged as early as day 3 post-stroke and persisted through day 19, despite no detectable gross motor deficits. Our findings highlight subtle cortical dysfunction persists despite normal gross motor function, underscoring the need for finer behavioral tests. This approach offered a powerful tool to bridge the gap between cellular-level dysfunction and macroscopic behaviors after focal ischemic stroke.
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http://dx.doi.org/10.1007/s12975-025-01336-2 | DOI Listing |
Transl Stroke Res
March 2025
Department of Acupuncture and Moxibustion, The Second Affiliated Hospital of Nanjing University of Chinese Medicine/Jiangsu Second Chinese Medicine Hospital, Nanjing, 210017, Jiangsu, China.
Ischemic stroke (IS) commonly results in long-term disability, largely due to alterations in neuronal networks. In repeatable rodent IS model under naturalistic conditions, the difficulty of capturing single-cell neuronal activities and how this solves a long-standing challenge is still remained. Here, we combined a photothrombotic stroke model with head-mounted miniaturized two-photon microscopy (mTPM) to achieve longitudinal, real-time imaging of GABAergic neurons in the contralesional primary motor cortex (M1) in freely moving mice.
View Article and Find Full Text PDFFluorescent sensors have revolutionized the measurement of molecules in the brain, and the dLight dopamine sensor has been used extensively to examine reward- and cue-evoked dopamine release, but only recently has the field turned its attention to spontaneous release events. Analysis of spontaneous events typically requires evaluation of hundreds of events over minutes to hours, and the most common method of analysis, z-scoring, was not designed for this purpose. Here, we compare the accuracy and reliability of three different analysis methods to identify pharmacologically induced changes in dopamine release and uptake in freely moving C57BL/6J mice.
View Article and Find Full Text PDFCell Rep
March 2025
Center for Systems Neuroscience, Boston University, Boston, MA 02451, USA. Electronic address:
Memories involving the hippocampus can take several days to consolidate, challenging efforts to uncover the neuronal signatures underlying this process. Here, we use calcium imaging in freely moving mice to track the hippocampal dynamics underlying memory consolidation across a 10-day contextual fear conditioning task. We find two neural signatures that emerge following learning and predict memory performance: context-specific place field remapping and coordinated neural activity prior to memory recall (freezing).
View Article and Find Full Text PDFPharmacol Biochem Behav
March 2025
Department of Neurobiology, Maj Institute of Pharmacology, Polish Academy of Sciences, Smętna 12, 31-343, Kraków, Poland. Electronic address:
Clinical studies provide evidence that scopolamine, a nonselective antagonist of muscarinic cholinergic receptors, exerts rapid and prolonged antidepressant effects. However, its use as a psychiatric drug has been limited due to its significant adverse effects. A therapeutic option that could help reduce the adverse effects of scopolamine is its coadministration at lower doses with other substances with similar antidepressant properties.
View Article and Find Full Text PDFJ Neural Eng
March 2025
Department of Psychology, University of Calgary, 2500 University Dr NW, Calgary, Alberta, T2N 1N4, CANADA.
Freely moving thought is a type of thinking that shifts from one topic to another without any overarching direction or aim. The ability to detect when freely moving thought occurs may help us promote its beneficial outcomes, such as for creative thinking and positive mood. Thus far, no studies have used machine learning to detect freely moving thought on the basis of "objective" (e.
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