Pre-ictal increase in theta synchrony between the hippocampus and prefrontal cortex in a rat model of temporal lobe epilepsy

Broggini, Ana Clara; Esteves, Ingrid M.; Romcy-Pereira, Rodrigo Neves; Leite, João Pereira; Leão, Richardson N.

doi:10.1016/j.expneurol.2016.03.007

Cited by 36 publications

(27 citation statements)

References 46 publications

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“…(G) Representative wavelet coherograms and smoothed standard deviation of wavelet coherence of LFPs recorded in the hippocampus and medial septal-diagonal band (MSDB) in healthy (left) and epileptic animals. Adapted with permission from Buzsáki and Watson (2012) (A) , Inostroza et al (2013) (B–E) , Broggini et al (2016) (F) and Kabanova et al (2011) (G) .…”

Section: Coherence Of the Theta And Gamma Rhythmsmentioning

confidence: 99%

“…(F) Box plot showing mean hippocampal theta/mPFC gamma modulation index (MI), 120 s and 30 s before seizure onset; * p < 0.001. Adapted with permission from Buzsáki and Watson (2012) (A) , Kirihara et al (2012) (B) , Tort et al (2009) (C,D) and Broggini et al (2016) (E,F) .…”

Section: Coherence Of the Theta And Gamma Rhythmsmentioning

confidence: 99%

“…Hippocampal theta oscillations are normally coupled to mPFC theta waves (Benchenane et al, 2010) and modulate hippocampal and mPFC gamma oscillations during cognitive behavior (Jones and Wilson, 2005; Siapas et al, 2005; Tort et al, 2008). In a TLE model generated by perforant path stimulation, abnormal changes in the hippocampal−mPFC circuit were observed during the recording of mPFC and hippocampal LFPs in rats with spontaneous recurrent seizures (Broggini et al, 2016). Broggini et al (2016) showed that recurrent seizures weaken hippocampal theta rhythm while the hippocampal and mPFC theta coherence increases during a period preceding the onset of seizures (Figure 1F).…”

Section: Coherence Bias In Tle and Admentioning

confidence: 99%

“…In a TLE model generated by perforant path stimulation, abnormal changes in the hippocampal−mPFC circuit were observed during the recording of mPFC and hippocampal LFPs in rats with spontaneous recurrent seizures (Broggini et al, 2016). Broggini et al (2016) showed that recurrent seizures weaken hippocampal theta rhythm while the hippocampal and mPFC theta coherence increases during a period preceding the onset of seizures (Figure 1F). Simultaneously with the increase in theta synchrony a stronger coupling between hippocampal theta and mPFC gamma oscillations was observed (Figures 2E,F).…”

Section: Coherence Bias In Tle and Admentioning

confidence: 99%

“…Using the Granger causality, it was shown that the increase in hippocampus–mPFC synchrony in the preictal phase was provoked by hippocampal networks. The data indicate that the increase in hippocampal—mPFC coherence may predict the seizure onset (Broggini et al, 2016). Besides, the too strong coupling of hippocampal theta and mPFC gamma oscillations may induce abnormal plasticity in mPFC communications (Zheng and Zhang, 2015), which can be a reason of changes observed in mPFC cells (Tang and Loke, 2010).…”

Section: Coherence Bias In Tle and Admentioning

confidence: 99%

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Alterations of Coherent Theta and Gamma Network Oscillations as an Early Biomarker of Temporal Lobe Epilepsy and Alzheimer’s Disease

Kitchigina

2018

Front. Integr. Neurosci.

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Alzheimer’s disease (AD) and temporal lobe epilepsy (TLE) are the most common forms of neurodegenerative disorders characterized by the loss of cells and progressive irreversible alteration of cognitive functions, such as attention and memory. AD may be an important cause of epilepsy in the elderly. Early diagnosis of diseases is very important for their successful treatment. Many efforts have been done for defining new biomarkers of these diseases. Significant advances have been made in the searching of some AD and TLE reliable biomarkers, including cerebrospinal fluid and plasma measurements and glucose positron emission tomography. However, there is a great need for the biomarkers that would reflect changes of brain activity within few milliseconds to obtain information about cognitive disturbances. Successful early detection of AD and TLE requires specific biomarkers capable of distinguishing individuals with the progressing disease from ones with other pathologies that affect cognition. In this article, we review recent evidence suggesting that magnetoencephalographic recordings and coherent analysis coupled with behavioral evaluation can be a promising approach to an early detection of AD and TLE.Highlights Data reviewed include the results of clinical and experimental studies.Theta and gamma rhythms are disturbed in epilepsy and AD.Common and different behavioral and oscillatory features of pathologies are compared.Coherent analysis can be useful for an early diagnostics of diseases.

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Section: Coherence Of the Theta And Gamma Rhythmsmentioning

confidence: 99%

Section: Coherence Of the Theta And Gamma Rhythmsmentioning

confidence: 99%

Section: Coherence Bias In Tle and Admentioning

confidence: 99%

Section: Coherence Bias In Tle and Admentioning

confidence: 99%

Section: Coherence Bias In Tle and Admentioning

confidence: 99%

See 3 more Smart Citations

Alterations of Coherent Theta and Gamma Network Oscillations as an Early Biomarker of Temporal Lobe Epilepsy and Alzheimer’s Disease

Kitchigina

2018

Front. Integr. Neurosci.

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Ripple‐related firing of identified deep CA1 pyramidal cells in chronic temporal lobe epilepsy in mice

et al. 2019

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Summary Objective Temporal lobe epilepsy (TLE) is often associated with memory deficits. Reactivation of memory traces in the hippocampus occurs during sharp‐wave ripples (SWRs; 140‐250 Hz). To better understand the mechanisms underlying high‐frequency oscillations and cognitive comorbidities in epilepsy, we evaluated how rigorously identified deep CA1 pyramidal cells (dPCs) discharge during SWRs in control and TLE mice. Methods We used the unilateral intraamygdala kainate model of TLE in video–electroencephalography (EEG) verified chronically epileptic adult mice. Local field potential and single‐cell recordings were performed using juxtacellular recordings from awake control and TLE mice resting on a spherical treadmill, followed by post hoc identification of the recorded cells. Results Hippocampal SWRs in TLE mice occurred with increased intraripple frequency compared to control mice. The frequency of SWR events was decreased, whereas the overall frequency of SWRs, interictal epileptiform discharges, and high‐frequency ripples (250‐500 Hz) together was not altered. CA1 dPCs in TLE mice showed significantly increased firing during ripples as well as between the ripple events. The strength of ripple modulation of dPC discharges increased in TLE without alteration of the preferred phase of firing during the ripple waves. Significance These juxtacellular electrophysiology data obtained from identified CA1 dPCs from chronically epileptic mice are in general agreement with recent findings indicating distortion of normal firing patterns during offline SWRs as a mechanism underlying deficits in memory consolidation in epilepsy. Because the primary seizure focus in our experiments was in the amygdala and we recorded from the CA1 region, these results are also in agreement with the presence of altered high‐frequency oscillations in areas of secondary seizure spread.

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Dynamic evolution of frontal‐temporal network connectivity in temporal lobe epilepsy: A magnetoencephalography study

Liu,

Han,

Zhang

et al. 2024

Human Brain Mapping

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Temporal lobe epilepsy (TLE) frequently involves an intricate, extensive epileptic frontal‐temporal network. This study aimed to investigate the interactions between temporal and frontal regions and the dynamic patterns of the frontal‐temporal network in TLE patients with different disease durations. The magnetoencephalography data of 36 postoperative seizure‐free patients with long‐term follow‐up of at least 1 year, and 21 age‐ and sex‐matched healthy subjects were included in this study. Patients were initially divided into LONG‐TERM (n = 18, DURATION >10 years) and SHORT‐TERM (n = 18, DURATION ≤10 years) groups based on 10‐year disease duration. For reliability, supplementary analyses were conducted with alternative cutoffs, creating three groups: 0 < DURATION ≤7 years (n = 11), 7 < DURATION ≤14 years (n = 11), and DURATION >14 years (n = 14). This study examined the intraregional phase‐amplitude coupling (PAC) between theta phase and alpha amplitude across the whole brain. The interregional directed phase transfer entropy (dPTE) between frontal and temporal regions in the alpha and theta bands, and the interregional cross‐frequency directionality (CFD) between temporal and frontal regions from the theta phase to the alpha amplitude were further computed and compared among groups. Partial correlation analysis was conducted to investigate correlations between intraregional PAC, interregional dPTE connectivity, interregional CFD, and disease duration. Whole‐brain intraregional PAC analyses revealed enhanced theta phase‐alpha amplitude coupling within the ipsilateral temporal and frontal regions in TLE patients, and the ipsilateral temporal PAC was positively correlated with disease duration (r = 0.38, p <.05). Interregional dPTE analyses demonstrated a gradual increase in frontal‐to‐temporal connectivity within the alpha band, while the direction of theta‐band connectivity reversed from frontal‐to‐temporal to temporal‐to‐frontal as the disease duration increased. Interregional CFD analyses revealed that the inhibitory effect of frontal regions on temporal regions gradually increased with prolonged disease duration (r = −0.36, p <.05). This study clarified the intrinsic reciprocal connectivity between temporal and frontal regions with TLE duration. We propose a dynamically reorganized triple‐stage network that transitions from balanced networks to constrained networks and further develops into imbalanced networks as the disease duration increases.

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Pre-ictal increase in theta synchrony between the hippocampus and prefrontal cortex in a rat model of temporal lobe epilepsy

Cited by 36 publications

References 46 publications

Alterations of Coherent Theta and Gamma Network Oscillations as an Early Biomarker of Temporal Lobe Epilepsy and Alzheimer’s Disease

Alterations of Coherent Theta and Gamma Network Oscillations as an Early Biomarker of Temporal Lobe Epilepsy and Alzheimer’s Disease

Ripple‐related firing of identified deep CA1 pyramidal cells in chronic temporal lobe epilepsy in mice

Dynamic evolution of frontal‐temporal network connectivity in temporal lobe epilepsy: A magnetoencephalography study

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