Physiologic autonomic arousal heralds motor manifestations of seizures in nocturnal frontal lobe epilepsy: Implications for pathophysiology

Calandra-Buonaura, Giovanna; Toschi, Nicola; Provini, Federica; Corazza, Ivan; Bisulli, Francesca; Barletta, Giorgio; Vandi, Stefano; Montagna, Pasquale; Guerrisi, Maria; Tinuper, Paolo; Cortelli, Pietro

doi:10.1016/j.sleep.2011.11.007

Cited by 49 publications

(40 citation statements)

References 42 publications

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“…The PLMS-related temporal pattern of autonomic and EEG changes suggests a hierarchy in the arousal response, from autonomic activation, representing the earliest marker of brain arousal, to cortical involvement under more-powerful arousing stimuli [8,13,16]. Furthermore, this temporal pattern suggests a facilitating role of autonomic arousal in gating PLMS, as observed for other physiological and pathological sleep-related motor events [17,18].…”

Section: Definition Of Arousal During Sleepmentioning

confidence: 73%

Bidirectional interactions between the baroreceptor reflex and arousal: an update

et al. 2015

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Section: Definition Of Arousal During Sleepmentioning

confidence: 73%

Bidirectional interactions between the baroreceptor reflex and arousal: an update

et al. 2015

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“…As a result, the systems biology and systems neurophysiology paradigms can provide a conceptual model where structural and functional networks are dynamically interconnected across different dimensional levels into accounting a multiscale dynamical system which has already been seen to manifest also into peripheral branches like the autonomic nervous system in health and disease [599, 600]. …”

Section: Discussionmentioning

confidence: 99%

Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology

Hampel

Toschi

Babiloni

et al. 2018

JAD

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The Precision Neurology development process implements systems theory with system biology and neurophysiology in a parallel, bidirectional research path: a combined hypothesis-driven investigation of systems dysfunction within distinct molecular, cellular and large-scale neural network systems in both animal models as well as through tests for the usefulness of these candidate dynamic systems biomarkers in different diseases and subgroups at different stages of pathophysiological progression. This translational research path is paralleled by an “omics”-based, hypothesis-free, exploratory research pathway, which will collect multimodal data from progressing asymptomatic, preclinical and clinical neurodegenerative disease (ND) populations, within the wide continuous biological and clinical spectrum of ND, applying high-throughput and high-content technologies combined with powerful computational and statistical modeling tools, aimed at identifying novel dysfunctional systems and predictive marker signatures associated with ND. The goals are to identify common biological denominators or differentiating classifiers across the continuum of ND during detectable stages of pathophysiological progression, characterize systems-based intermediate endophenotypes, validate multi-modal novel diagnostic systems biomarkers, and advance clinical intervention trial designs by utilizing systems-based intermediate endophenotypes and candidate surrogate markers. Achieving these goals is key to the ultimate development of early and effective individualized treatment of ND, such as Alzheimer’s disease (AD). The Alzheimer Precision Medicine Initiative (APMI) and cohort program (APMI-CP), as well as the Paris based core of the Sorbonne University Clinical Research Group “Alzheimer Precision Medicine” (GRC-APM) were recently launched to facilitate the passageway from conventional clinical diagnostic and drug development towards breakthrough innovation based on the investigation of the comprehensive biological nature of aging individuals. The APMI movement is gaining momentum to systematically apply both systems neurophysiology and systems biology in exploratory translational neuroscience research on ND.

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“…As illustrated in the Figure 3, we also find that CPS-G seizures tend to arise from sleep. However, a recent study illustrated that seizures arising from sleep which display higher HR changes are somewhat trivial, as baseline and preictal HR are lower during sleep because of higher vagal tone [28]. To minimize the bias due to sleep-related prominent vagal tone, we have compared the difference during 72 sleep and 17 CPS-G sleep seizures between postictal and ictal HR respectively.…”

Section: Discussionmentioning

confidence: 99%

Heart rate changes in partial seizures: analysis of influencing factors among refractory patients

et al. 2014

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BackgroundWe analyzed the frequency of heart rate (HR) changes related to seizures, and we sought to identify the influencing factors of these changes during partial seizures, to summarize the regularity of the HR changes and gain some insight into the mechanisms involved in the neuronal regulation of cardiovascular function. To date, detailed information on influencing factors of HR changes related to seizures by multiple linear regression analysis remains scarce.MethodsUsing video-electroencephalograph (EEG)-electrocardiograph (ECG) recordings, we retrospectively assessed the changes in the HR of 81 patients during a total of 181 seizures, including 27 simple partial seizures (SPS), 110 complex partial seizures (CPS) and 44 complex partial seizures secondarily generalized (CPS-G). The epileptogenic focus and the seizure type, age, gender, and sleep/wakefulness state of each patient were evaluated during and after the seizure onset. The HR changes were evaluated in the stage of epilepsy as time varies.ResultsOf the 181 seizures from 81 patients with ictal ECGs, 152 seizures (83.98%) from 74 patients were accompanied by ictal tachycardia (IT). And only 1 patient was accompanied by ictal bradycardia (IB). A patient has both IT and IB. We observed that HR difference was independently correlated with side, type and sleep/wakefulness state. In this analysis, the HR changes were related to the side, gender, seizure type, and sleep/wakefulness state. Right focus, male, sleep, and CPS-G showed more significant increases than that were observed in left, female, wakefulness, SPS and CPS. HR increases rapidly within 10 seconds before seizure onset and ictus, and typically slows to normal with seizure offset.ConclusionCPS-G, sleep and right focus led to higher ictal HR. The HR in the stage of epilepsy has regularly been observed to change to become time-varying. The risk factors of ictal HR need to be controlled along with sleep, CPS-G and right focus. Our study first explains that the HR in seizures has a regular evolution varying with time. Our study might help to further clarify the basic mechanisms of interactions between heart and brain, making seizure detection and closed-loop systems a possible therapeutic alternative in refractory patients.

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Physiologic autonomic arousal heralds motor manifestations of seizures in nocturnal frontal lobe epilepsy: Implications for pathophysiology

Cited by 49 publications

References 42 publications

Bidirectional interactions between the baroreceptor reflex and arousal: an update

Bidirectional interactions between the baroreceptor reflex and arousal: an update

Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology

Heart rate changes in partial seizures: analysis of influencing factors among refractory patients

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