Ivan Fernandez-Lamo's research while affiliated with Cajal Institute and other places

... Our results showed that the data from bTBI and sham operation groups had similar distribution on the 2-dimensional map, indicating that we successfully removed the influence of batch effects after our previous quality control steps (Fig. 1i). Based on known specific markers, the hippocampal nuclei were classified into 9 major cell types: neurons, mural cells, choroid plexus cells, endothelial cells, ependymal cells, oligodendrocyte precursor cells (OPCs), microglia, NSC & astrocytes, and oligodendrocytes [25][26][27][28][29][30] (Fig. 2a). The marker gene Rbfox3, which is specifically expressed by neurons, was used to annotate fifteen clusters as neurons. ...

... During slow-wave sleep, awake immobility and consummatory behaviors, the hippocampal local field potential (LFP) exhibits large-amplitude irregular activity (LIA) [13,14]. In such periods, coordinated discharges from EC to DG generate positive sharp patterns in the hilar LFP, known as dentate spikes (DSs) [15], which coincide with interregional gamma coherence [16] and seem to suppress the activity of CA3 and CA1 [15,[17][18][19]. Concurrently, the complex of CA1 LFP patterns, referred to as sharpwave ripples (SWRs), also occurs during LIA and has been extensively associated with memory consolidation processes [20][21][22][23]. ...

... However, the input to pyramidal neurons by Shaffer collaterals is stronger than the input from the EC. This follows from both anatomical Bezaire and Soltesz (2013) and physiological data (Fernandez-Lamo et al., 2019;Masurkar et al., 2017). We believe that there is no contradiction between the simulation results and experimental data in this aspect. ...

... Consistent with this idea, DGC recruitment of FFI in CA3/CA2 is randomly wired so as to provide blanket inhibition and govern network excitability in CA3 and CA2, rather than couple individual DGC-dependent excitation with inhibition onto distinct populations of pyramidal neurons (Neubrandt et al., 2017). Loss of PV IN mediated inhibition may disrupt neuronal ensembles and network oscillations by impairing neuronal spiking, recurrent excitation in CA3 networks (Sadeh and Clopath, 2021), reciprocal inhibition between CA3 and CA2 (Boehringer et al., 2017;Fernandez-Lamo et al., 2019;Lehr et al., 2021;Middleton and McHugh, 2020;Nasrallah et al., 2019;Stober et al., 2020) and/or the balance between subcortical and entorhinal inputs to CA3/CA2 during encoding of social stimuli (Chen et al., 2020;Lopez-Rojas et al., 2022;Robert et al., 2021;Wu et al., 2021). Future studies will edify how PV inhibition of CA3/CA2 facilitates encoding of social stimuli in CA3 and CA2 neuronal ensembles and network oscillations. ...

... SWRs are commonly studied using metrics including oscillation frequency, power, event duration, rate, and (ISI). We found that SWR frequency and power were not related to exercise behaviors, as expected since SWR frequency is in general fixed across and during learning and memory tasks 10 , with changes in frequency being associated with pathological states 10,47,48 . In contrast, duration, rate, and ISI demonstrated unique relationships with exercise motivation and performance which suggest a role for SWRs in multiple aspects of exercise behaviors. ...

... In isolated hippocampal slices, light stimulation at theta frequency induces gamma oscillations nested in theta oscillations (Butler et al., 2016). A research in epileptic rats found that abnormal firing activity of interneurons affected their phase locking with respect to theta rhythm, eventually disrupting the coupling between theta and gamma in the hippocampus (Lopez-Pigozzi et al., 2016). The above evidence highlights the potential for modulation of PAC by theta rhythm, which is consistent with the results of our mediation analysis. ...