Electrophysiological Basis Research Articles

Application of bulbocavernosus reflex combined with anal sphincter electromyography in the diagnosis of MSA and PD

Background Multiple system atrophy (MSA) and Parkinson's disease (PD) are characterized by abnormal changes in the extrapyramidal system and autonomic nervous system. The two diseases are consistent in some clinical manifestations and few objective indicators for preclinical prediction. Method The value of anal sphincter electromyography (EAS-EMG) in the diagnosis of MSA has been recognized by researchers, while the bulbocavernosus reflex (BCR) has been found to be of great significance in the diagnosis of PD and MSA. In this study, the diagnostic value of BCR combined with EAS-EMG in patients with MSA and PD was further discussed. Results Forty-three patients with MSA, 120 patients with PD and 40 normal controls were recruited, and the BCR and EAS-EMG were evaluated. The average duration, average amplitude, percentage of polyphasic waves, satellite potential, phase pattern and amplitude of strong contraction were observed. The results showed that the abnormal rate of BCR in the control group was 0%, and the abnormal rate of EAS-EMG was 2.5%; these differences were statistically significant compared with the MSA group (BCR 90.9%, EAS-EMG 93.9%). For patients with PD, there were some significant differences in BCR and EAS-EMG between the control group and the PD group. Conclusion Our study revealed that BCR combined with EAS-EMG detection can provide an objective electrophysiological basis for the diagnosis of MSA and PD, which is beneficial for the early treatment of disease.

Cardiac transmembrane ion channels and action potentials: cellular physiology and arrhythmogenic behavior.

Cardiac arrhythmias are among the leading causes of mortality. They often arise from alterations in the electrophysiological properties of cardiac cells and their underlying ionic mechanisms. It is therefore critical to further unravel the pathophysiology of the ionic basis of human cardiac electrophysiology in health and disease. In the first part of this review, current knowledge on the differences in ion channel expression and properties of the ionic processes that determine the morphology and properties of cardiac action potentials and calcium dynamics from cardiomyocytes in different regions of the heart are described. Then the cellular mechanisms promoting arrhythmias in congenital or acquired conditions of ion channel function (electrical remodeling) are discussed. The focus is on human-relevant findings obtained with clinical, experimental, and computational studies, given that interspecies differences make the extrapolation from animal experiments to human clinical settings difficult. Deepening the understanding of the diverse pathophysiology of human cellular electrophysiology will help in developing novel and effective antiarrhythmic strategies for specific subpopulations and disease conditions.

CASPR2-Related Morvan Syndrome: Autonomic, Polysomnographic, and Neuropsychological Observations.

Morvan syndrome is characterized by central, autonomic, and peripheral hyperexcitability due to contactin-associated protein 2 (CASPR2) antibody. Our objective was to study the clinical spectrum, electrophysiologic, autonomic, polysomnographic, and neuropsychological profile in patients with CASPR2-related Morvan syndrome. Serum and CSF samples that were CASPR2 antibody positive from 2016 to 2019 were assessed. Among them, patients with Morvan syndrome diagnosed based on clinical and electrophysiologic basis were included. Fourteen (M:F = 10:4) patients with Morvan syndrome were included with age at onset of 37.1 ± 17.5 years. The clinical features were muscle twitching (12), insomnia (12), pain (11), paresthesias (9), hyperhidrosis (7), hypersalivation (6), double incontinence (3), spastic speech (2), dysphagia (2), behavioral disturbances (2), seizures (1), and cold intolerance (1). Neurologic examination revealed myokymia (12), hyperactive tendon reflexes (10), and tremor (6). EMG revealed neuromyotonia (12) and increased spontaneous activity (7). Autonomic function tests conducted in 8 patients revealed definite autonomic dysfunction (4), orthostatic hypotension (2), early dysfunction (1), and postural orthostatic tachycardia syndrome (1). Polysomnography findings in 6 patients revealed insomnia (3), absence of deep sleep (1), high-frequency beta activity (1), REM behavior disorder (1), and periodic leg movements (1). Neuropsychological evaluation showed subtle involvement of the left frontal and temporal lobe. Malignancy workup was negative. All patients were treated with steroids. There was complete neurologic resolution in follow-up with persistent neuropathic pain in 5 patients. This study has contributed to the growing knowledge on CASPR2-related Morvan syndrome. It is important for an increased awareness and early recognition as it is potentially treatable by immunotherapy.

His bundle pacing: a new look at the method

His bundle pacing (HBP) implements physiological impulse propagation along the cardiac conduction system and can serve as an analogue of both right ventricular and biventricular pacing. This review highlights clinical anatomy issues related to HBP; the technique of lead implantation in the His position is considered. We also describe the electrophysiological basis of HBP, possibilities of lead extraction, indications for implantation, and prospects for further development of the technique. HBP is a promising direction in cardiology, which in the future may fundamentally change the algorithms for managing patients with heart failure and conduction disorders.

Sustaining Attention for a Prolonged Duration Affects Dynamic Organizations of Frequency-Specific Functional Connectivity

Sustained attention encompasses a cascade of fundamental functions. The human ability to implement a sustained attention task is supported by brain networks that dynamically formed and dissolved through oscillatory synchronization. The decrement of vigilance induced by prolonged task engagement affects sustained attention. However, little is known about which stage or combinations are affected by vigilance decrement. Here, we applied an analysis framework composed of weighted phase lag index (wPLI) and tensor component analysis (TCA) to an EEG dataset collected during 80 min sustained attention task to examine the electrophysiological basis of such effect. We aimed to characterize the phase-coupling networks to untangle different phases involved in sustained attention and study how they are modulated by vigilance decrement. We computed the time–frequency domain wPLI from each block and subject and constructed a fourth-order tensor, containing the time, frequency, functional connectivity (FC), and blocks × subjects. This tensor was subjected to the TCA to identify the interacted and low-dimensional components representing the frequency-specific dynamic FC (fdFC). We extracted four types of neuromakers during a sustained attention task, namely the pre-stimulus alpha right-lateralized parieto-occipital FC, the post-stimulus theta fronto-parieto-occipital FC, delta fronto-parieto-occipital FC, and beta right/left sensorimotor FCs. All these fdFCs were impaired by vigilance decrement. These fdFCs, except for the beta left sensorimotor network, were restored by rewards, although the restoration by reward in the beta right sensorimotor network was transient. These findings provide implications for dissociable effects of vigilance decrement on sustained attention by utilizing the tensor-based framework.

Uterus Modeling From Cell to Organ Level: Towards Better Understanding of Physiological Basis of Uterine Activity.

The relatively limited understanding of the physiology of uterine activation prevents us from achieving optimal clinical outcomes for managing serious pregnancy disorders such as preterm birth or uterine dystocia. There is increasing awareness that multi-scale computational modeling of the uterus is a promising approach for providing a qualitative and quantitative description of uterine physiology. The overarching objective of such approach is to coalesce previously fragmentary information into a predictive and testable model of uterine activity that, in turn, informs the development of new diagnostic and therapeutic approaches to these pressing clinical problems. This article assesses current progress towards this goal. We summarize the electrophysiological basis of uterine activation as presently understood and review recent research approaches to uterine modeling at different scales from single cell to tissue, whole organ and organism with particular focus on transformative data in the last decade. We describe the positives and limitations of these approaches, thereby identifying key gaps in our knowledge on which to focus, in parallel, future computational and biological research efforts.

Frequency-dependent functional connectivity in resting state networks.

Functional magnetic resonance imaging studies have documented the resting human brain to be functionally organized in multiple large‐scale networks, called resting‐state networks (RSNs). Other brain imaging techniques, such as electroencephalography (EEG) and magnetoencephalography (MEG), have been used for investigating the electrophysiological basis of RSNs. To date, it is largely unclear how neural oscillations measured with EEG and MEG are related to functional connectivity in the resting state. In addition, it remains to be elucidated whether and how the observed neural oscillations are related to the spatial distribution of the network nodes over the cortex. To address these questions, we examined frequency‐dependent functional connectivity between the main nodes of several RSNs, spanning large part of the cortex. We estimated connectivity using band‐limited power correlations from high‐density EEG data collected in healthy participants. We observed that functional interactions within RSNs are characterized by a specific combination of neuronal oscillations in the alpha (8–13 Hz), beta (13–30 Hz), and gamma (30–80 Hz) bands, which highly depend on the position of the network nodes. This finding may contribute to a better understanding of the mechanisms through which neural oscillations support functional connectivity in the brain.

A computational analysis of the effect of sevoflurane in a human ventricular cell model of long QT syndrome: Importance of repolarization reserve in the QT-prolonging effect of sevoflurane

The slowly and rapidly activating delayed rectifier K+ channels (IKs and IKr, respectively) contribute to the repolarization of ventricular action potential in human heart and thereby determine QT interval on an electrocardiogram. Loss-of-function mutations in genes encoding IKs and IKr cause type 1 and type 2 long QT syndrome (LQT1 and LQT2, respectively), accompanied by a high risk of malignant ventricular arrhythmias and sudden cardiac death. This study was designed to investigate which cardiac electrophysiological conditions exaggerate QT-prolonging and arrhythmogenic effects of sevoflurane. We used the O'Hara-Rudy dynamic model to reconstruct human ventricular action potential and a pseudo-electrocardiogram, and simulated LQT1 and LQT2 phenotypes by decreasing conductances of IKs and IKr, respectively. Sevoflurane, but not propofol, prolonged ventricular action potential duration and QT interval in wild-type, LQT1 and LQT2 models. The QT-prolonging effect of sevoflurane was more profound in LQT2 than in wild-type and LQT1 models. The potent inhibitory effect of sevoflurane on IKs was primarily responsible for its QT-prolonging effect. In LQT2 model, IKs was considerably enhanced during excessive prolongation of ventricular action potential duration by reduction of IKr and relative contribution of IKs to ventricular repolarization was markedly elevated, which appears to underlie more pronounced QT-prolonging effect of sevoflurane in LQT2 model, compared with wild-type and LQT1 models. This simulation study clearly elucidates the electrophysiological basis underlying the difference in QT-prolonging effect of sevoflurane among wild-type, LQT1 and LQT2 models, and may provide important information for developing anesthetic strategies for patients with long QT syndrome in clinical settings.

Electroceutical Technology: Anti-Inflammatory Effects Of 40-160 T/S Inductively Coupled Electrical Stimulation (ICES) In The Acute Inflammation Model

Electromagnetic therapies (sic: electroceuticals) have been studied and used for many years as a treatment for many ailments including chronic and acute pain, inflammation, muscle atrophy, non-union bone fractures, as well as peripheral and central neuropathies [1].
 Presently we seek to explore the realm of inductively coupled electrical stimulation (ICES) which is a subclass of pulsed electromagnetic field therapies (PEMFs) that uses rapidly changing electromagnetic fields to induce current flows in tissues. Such fields are hypothesized to act via various mechanisms. However, in the present we seek to clarify the often ambiguous and confusing literature regarding ICES mechanisms by conducting a scholarly review by which we then provide a dose reporting scheme for accurately describing the relevant parameters required to fully define ICES treatments. Based on our review and experience, we hypothesize that ICES requires very specific parameters to function appropriately. We seek to ascertain the efficacy of 40-160 Tesla/second (T/s) ICES stimulation as an anti-inflammatory therapy. A specific mechanism explored is the calcium/calmodulin (Ca/CaM) pathway implicated in the literature [2-9] . Our results bring into question the scientific methods of previously reported results by suggesting that nitric oxide levels in vitro fall below detection limits of commonly used methods for gauging Ca/CaM modulation by ICES. In an effort to elucidate the efficacy of ICES as an anti-inflammatory, we make use of the well-established carrageenan footpad edema (CFE) model in rats. The CFE model provides a spontaneously-resolving, acute inflammation model with a very well understood progression and biochemical mechanism. Our results indicate that 40-160 T/s ICES provides statistically significant, repeatable CFE reduction (P < 0.05) as measured by plethysmometry with no observed detrimental side-effects. Further work should focus on elucidating mechanism, evaluating safety, and exploring other potential applications—such as treating chronic conditions. The present studies support ICES as having the potential to provide life-changing therapy to individuals suffering from acute inflammation and pain.
 Given carefully conducted research in the future, we feel that ICES may revolutionize modern medicine not only from a treatment standpoint, but from the standpoint of understanding basic human electrophysiology and biochemistry.

Purkinje Fibers in Canine False Tendons: New Anatomical and Electrophysiological Findings.

Introduction Purkinje system and false tendons (FTs) are related to ventricular arrhythmia, but the association between Purkinje fibers and FTs is not clear. This study investigated the associations of anatomical and electrophysiological characteristics between Purkinje fibers and FTs. Methods and Results We optimized the protocol of Lugol's iodine solution staining of Purkinje fibers to study the anatomical structure and originated a novel electrophysiological mapping method, named the direct visual mapping (DVM) method, to study the electrophysiological characteristics. By using the above-mentioned innovations in 12 dogs, we found the following. (1) There was no Purkinje fiber found 0.5 cm–1.0 cm below the valve annulus or on the leaflets or chordae tendineae of the mitral valve or adjacent to the top 1/3 of the papillary muscle. (2) Purkinje fibers existed in all FTs, including smaller and tiny FTs. (3) The Purkinje fibers contained in the FTs extended from the proximal to the distal end, and their electrophysiological characteristics were similar to the fibers on the endocardium, including anterograde, retrograde, and decremental conduction and automaticity. Conclusions Purkinje fibers are commonly found in FTs. The electrophysiological characteristics of the Purkinje fibers contained in FTs are similar to the fibers on the endocardium. FTs might have an anatomical and electrophysiological basis for ventricular arrhythmia.

Non-invasive Transcranial Electrical Stimulation in Movement Disorders.

Dysfunction within large-scale brain networks as the basis for movement disorders is an accepted hypothesis. The treatment options for restoring network function are limited. Non-invasive brain stimulation techniques such as repetitive transcranial magnetic stimulation are now being studied to modify the network. Transcranial electrical stimulation (tES) is also a portable, cost-effective, and non-invasive way of network modulation. Transcranial direct current stimulation and transcranial alternating current stimulation have been studied in Parkinson’s disease, dystonia, tremor, and ataxia. Transcranial pulsed current stimulation and transcranial random noise stimulation are not yet studied enough. The literature in the use of these techniques is intriguing, yet many unanswered questions remain. In this review, we highlight the studies using these four potential tES techniques and their electrophysiological basis and consider the therapeutic implication in the field of movement disorders. The objectives are to consolidate the current literature, demonstrate that these methods are feasible, and encourage the application of such techniques in the near future.

Natural scene representations in the gamma band are prototypical across subjects

Prototypical brain responses describe similarity in neural representations between subjects in response to a natural stimulus. During natural movie viewing, for example, inter-subject correlation (ISC) measured by fMRI is high in visual areas (Hasson et al., 2004). But the electrophysiological basis for this fMRI ISC has been controversial. Previous reports have only found ISC in low frequency bands—below 12 ​Hz (Chang et al., 2015). These findings stand in contrast to reports that gamma band oscillations—30 to 90 ​Hz—are highly stimulus-driven in visual cortex (Perry et al., 2015). To resolve this discrepancy, we carried out both ISC estimation and a novel inter-subject representational correlation analysis across six frequency bands extracted from MEG data of 24 subjects who each viewed four 5-min clips of an underwater documentary. Region-of-interest-based and vertex-based temporal ISC estimates confirmed that low-frequency bands are significantly synchronized in visual areas and that gamma band has low temporal correlation. We also found the representational geometry of movie scenes were related to structural statistics from the stimuli. Crucially, our results show that the gamma band oscillations also reflect prototypical brain response in scene representations formed in response to naturalistic stimuli as revealed by inter-subject representational correlation.

Year in Review in Cardiac Electrophysiology.

In the past year, there have been numerous advances in our understanding of arrhythmia mechanisms, diagnosis, and new therapies. We have seen advances in basic cardiac electrophysiology with data suggesting that secretoneurin may be a biomarker for patients at risk of ventricular arrhythmias, and we have learned of the potential role of an NPR-C (natriuretic peptide receptor-C) in atrial fibrosis and the role of an atrial specific 2-pore potassium channel TASK-1 as a therapeutic target for atrial fibrillation. We have seen studies demonstrating the role of sensory neurons in sleep apnea-related atrial fibrillation and the association between bariatric surgery and atrial fibrillation ablation outcomes. Artificial intelligence applied to electrocardiography has yielded estimates of age, sex, and overall health. We have seen new tools for collection of patient-centered outcomes following catheter ablation. There have been significant advances in the ability to identify ventricular tachycardia termination sites through high-density mapping of deceleration zones. We have learned that right ventricular dysfunction may be a predictor of survival benefit after implantable cardioverter-defibrillator implantation in patients with nonischemic cardiomyopathy. We have seen further insights into the role of His bundle pacing on improving outcomes. As our understanding of cardiac laminopathies advances, we may have new tools to predict arrhythmic event rates in gene carriers. Finally, we have seen numerous advances in the treatment of arrhythmias in patients with congenital heart disease.

EEG microstates are correlated with brain functional networks during slow-wave sleep

Electroencephalography (EEG) microstates have been extensively studied in wakefulness and have been described as the “atoms of thought”. Previous studies of EEG have found four microstates, i.e., microstates A, B, C and D, that are consistent among participants across the lifespan during the resting state. Studies using simultaneous EEG and functional magnetic resonance imaging (fMRI) have provided evidence for correlations between EEG microstates and fMRI networks during the resting state. Microstates have also been found during non-rapid eye movement (NREM) sleep. Slow-wave sleep (SWS) is considered the most restorative sleep stage and has been associated with the maintenance of sleep. However, the relationship between EEG microstates and brain functional networks during SWS has not yet been investigated. In this study, simultaneous EEG-fMRI data were collected during SWS to test the correspondence between EEG microstates and fMRI networks. EEG microstate-informed fMRI analysis revealed that three out of the four microstates showed significant correlations with fMRI data: 1) fMRI fluctuations in the insula and posterior temporal gyrus positively correlated with microstate B, 2) fMRI signals in the middle temporal gyrus and fusiform gyrus negatively correlated with microstate C, and 3) fMRI fluctuations in the occipital lobe negatively correlated with microstate D, while fMRI signals in the anterior cingulate and cingulate gyrus positively correlated with this microstate. Functional brain networks were then assessed using group independent component analysis based on the fMRI data. The group-level spatial correlation analysis showed that the fMRI auditory network overlapped the fMRI activation map of microstate B, the executive control network overlapped the fMRI deactivation of microstate C, and the visual and salience networks overlapped the fMRI deactivation and activation maps of microstate D. In addition, the subject-level spatial correlations between the general linear model (GLM) beta map of each microstate and the individual maps of each component yielded by dual regression also showed that EEG microstates were closely associated with brain functional networks measured using fMRI during SWS. Overall, the results showed that EEG microstates were closely related to brain functional networks during SWS, which suggested that EEG microstates provide an important electrophysiological basis underlying brain functional networks.

Electrophysiological basis for antiepileptic drugs in migraine prevention.

Migraine and epilepsy share in many ways with regard to their clinical presentation and pathophysiological mechanisms. A state of central hyper-excitability or hyper-responsivity is fundamental in their pathophysiology. Antiepileptic drugs (AEDs) have long been used for migraine prevention, other than for seizure control. Evidence from numerous clinical trials has well demonstrated the therapeutic effects of some of the AEDs in this regard. In this paper, we will first discuss the clinical similarity between migraine and epilepsy. Then, to address the rationale of AEDs usage in migraine prevention, we focus on those electrophysiological studies conducted in patients with migraine demonstrating evidence of central hyper-excitability or hyper-responsivity. Although controversies remain, three common findings are derived from the literature: (1) cortical hyper-excitability, (2) impaired intra-cortical inhibition or increased intra-cortical facilitation, and (3) dis-habituation (hyper-responsivity). Each single feature may actually represent one of the different manifestations derived from an overall central excitation/inhibition imbalance. Finally, we review those studies addressing the therapeutic effects of AEDs and the associated alteration in central excitability. These studies provided direct evidence that effective prevention by AEDs is associated with the restoration of excitation/inhibition imbalance.

Migraine Aura: Pathophysiology, Mimics, and Treatment Options.

Recent insights into the clinical presentation and pathophysiology of migraine aura have paved the way for new treatments for this common but frequently debilitating condition. Marked efflux of cellular potassium and glutamate contributes to the cortical spreading depression that forms the electrophysiological basis of migraine aura phenomena. Secondary vascular perturbations also contribute to the various symptoms of a migraine attack. Calcitonin gene-related peptide (CGRP) plays a key role in many of these steps, and a growing class of CGRP-antagonists have emerged as a novel, efficacious preventative therapy. It is still not fully understood why a preponderance of migraine aura symptoms is visual, and this issue is an active area of research. In addition, the pathophysiological changes responsible for visual snow syndrome are under investigation. Before diagnosing a patient with migraine aura, it is important to consider the differential diagnosis of transient visual phenomena, with attention to clinical features that may suggest conditions such as retinal disorders, transient ischemic attack, or occipital epilepsy.

The Discovery of the Cardiac Atrioventricular Node by Sunao Tawara and Ludwig Aschoff

Already in 1664, the Danish anatomist and naturalist Niels Stensen proved that the heart is a muscle. But for a long time it remained unclear what triggered the heart contractions.The Dutch physiologist Willem Einthoven registered the electrical processes in the contraction of the heart muscle and thus provided the first electrophysiological basis of cardiac muscle activity. Since 1903, Sunao Tawara was assistant to Ludwig Aschoff in Marburg. Both left Marburg in 1906: Tawara went back to Japan and Aschoff to Freiburg. In 1905, Tawara discovered the connections of the His' bundle to the AV node and the Purkinje fibers. At that time, there was no thought of a functional interpretation. Tawara discovered a kind of "knot" that linked to the adjacent myocardial cells, as well as the "Tawara thighs", which frayed and went into structures known as Purkinje fibers. Tawara detected the tree-like structure he had discovered as a muscle-fiber system that controlled the arousal of the heart's musculature. Thus the old dispute between myogenic and neurogenic arousal of the heart was decided in favor of the myogenic excitation conduction. The atrioventricular node described by Tawara was given the eponym "Aschoff-Tawara node". Tawara's groundbreaking work on the conduction system was the basis for the discovery of the sinus node and the interpretation of the heart's electrophysiology.

The relationship between BOLD and neural activity arises from temporally sparse events

Resting state functional magnetic resonance (rs-fMRI) imaging offers insights into how different brain regions are connected into functional networks. It was recently shown that networks that are almost identical to the ones created from conventional correlation analysis can be obtained from a subset of high-amplitude data, suggesting that the functional networks may be driven by instantaneous co-activations of multiple brain regions rather than ongoing oscillatory processes. The rs-fMRI studies, however, rely on the blood oxygen level dependent (BOLD) signal, which is only indirectly sensitive to neural activity through neurovascular coupling. To provide more direct evidence that the neuronal co-activation events produce the time-varying network patterns seen in rs-fMRI studies, we examined the simultaneous rs-fMRI and local field potential (LFP) recordings in rats performed in our lab over the past several years. We developed complementary analysis methods that focus on either the temporal or spatial domain, and found evidence that the interaction between LFP and BOLD may be driven by instantaneous co-activation events as well. BOLD maps triggered on high-amplitude LFP events resemble co-activation patterns created from rs-fMRI data alone, though the co-activation time points are defined differently in the two cases. Moreover, only LFP events that fall into the highest or lowest thirds of the amplitude distribution result in a BOLD signal that can be distinguished from noise. These findings provide evidence of an electrophysiological basis for the time-varying co-activation patterns observed in previous studies.

The effectiveness of a nationwide interactive ECG teaching workshop for UK medical students

PurposeInterpreting a twelve‑lead electrocardiogram (ECG) is a basic, albeit essential skill for most healthcare professionals to attain. Despite its importance, evidence suggests that the competency of healthcare professionals to interpret ECGs can be improved. We evaluated the effectiveness of a national interactive workshop designed to improve ECG interpretation in the UK medical student cohort. MethodsUK medical students who attended a national workshop were asked to complete a pre- and post- workshop test which comprised of 20 ECGs which showed a variety of pathologies relating to conduction disturbances, tachycardia and acute coronary syndromes. The workshop was interactive and consisted of 6 h of ECG tutorials, divided into hourly sessions which covered all key topics such as ‘basic electrophysiology’ and ‘electro-conduction problems’. Pre- and post-workshop test scores were compared by difference in means using the paired two-tailed t-test. ResultsA total of 145 participants completed the pre-test and of those 44 completed both the pre and post-test. The mean pre-test and post-test scores were 9.7/20 questions (48.9%) and 11.2/20 questions (56.2%) respectively, with a mean improvement of 1.5/20 (7.3%) from pre- to post-test (+7.3%, 95% CI: +1.8 to +12.8%, p = 0.01). ConclusionA national ECG workshop which emphasizes activity-based learning may be effective in improving the competency of medical students to interpret ECGs. Further exploration with multi-center controlled studies involving a diverse cohort of students and analyses to determine their cost-effectiveness is warranted.

Human cortical networking by probabilistic and frequency-specific coupling

Large-scale cortical networking patterns have been established based on the correlation of slow fluctuations of resting fMRI signals. However, the electrophysiological mechanism of cortical networking remained to be elucidated. With large-scale human ECoG recording, we developed a novel approach for functional network parcellation on the basis of probabilistic co-activation of cortical sites in spatio-temporal microstates. The parcellated networks were verified by electrical cortical stimulation (ECS) and somatosensory evoked potentials recording, which showed significantly higher accuracy than the traditional long-term correlation method. This provides direct electrophysiological evidence supporting the dynamic nature of cortical networking. Further analysis revealed that the brain-wide connectivity is likely established on the coupling of ECoG power envelop over a common carrier frequency ranging from alpha to low-beta (8–32Hz). Surprisingly, the cortical networking pattern over this specific frequency was found to be consistent across various tasks, which resembles the resting networks. The high similarity between the above functional network parcellation and the fMRI resting network atlas in individuals also suggested the slow power-envelope coupling of band-limited neural oscillations as the electrophysiological basis of spontaneous BOLD signals. Collectively, our findings on direct human recording revealed a probabilistic and frequency specific coupling mechanism for large-scale cortical networking shared by task and resting brain.