Electrophysiological Characteristics Research Articles

Visual interpretation of deep learning model in ECG classification: A comprehensive evaluation of feature attribution methods

Feature attribution methods can visually highlight specific input regions containing influential aspects affecting a deep learning model's prediction. Recently, the use of feature attribution methods in electrocardiogram (ECG) classification has been sharply increasing, as they assist clinicians in understanding the model's decision-making process and assessing the model's reliability. However, a careful study to identify suitable methods for ECG datasets has been lacking, leading researchers to select methods without a thorough understanding of their appropriateness. In this work, we conduct a large-scale assessment by considering eleven popular feature attribution methods across five large ECG datasets using a model based on the ResNet-18 architecture. Our experiments include both automatic evaluations and human evaluations. Annotated datasets were utilized for automatic evaluations and three cardiac experts were involved for human evaluations. We found that Guided Grad-CAM, particularly when its absolute values are utilized, achieves the best performance. When Guided Grad-CAM was utilized as the feature attribution method, cardiac experts confirmed that it can identify diagnostically relevant electrophysiological characteristics, although its effectiveness varied across the 17 different diagnoses that we have investigated.

The Initial Clinical and Electrophysiological Characteristics of Different Subtypes of Guillain-Barré Syndrome Diagnosed Based on Serial Electrophysiological Examinations.

We aimed to identify different Guillain-Barré syndrome (GBS) subtypes, demyelination, axonal degeneration, and reversible conduction failure (RCF) as early as possible by analyzing the initial clinical and electrophysiological examinations. This study retrospectively collected GBS patients between October 2018 and December 2022 at Beijing Tiantan Hospital. The diagnostic criteria for the initial electrophysiological study were based on Rajabally's criteria, and the criteria for the serial electrophysiological study were based on Uncini's criteria. All subjects underwent clinical and electrophysiological evaluations at least twice within 8 weeks. A total of 47 eligible patients with GBS were included, comprising 19 acute inflammatory demyelinating polyradiculoneuropathy (AIDP), 18 axonal degenerations, and 10 RCFs. In the RCF group, 40%, 30%, and 30% patients were diagnosed as AIDP, axonal, and equivocal at the initial study, respectively. The AIDP group had significantly higher cerebrospinal fluid (CSF) protein than the RCF (123.8 [106.4, 215.1] mg/dL vs. 67.1 [36.8, 85.6] mg/dL, p=0.002) and axonal degeneration (123.8 [106.4, 215.1] mg/dL vs. 60.8 [34.8, 113.0] mg/dL, p<0.001) groups. The RCF group had significantly lower Hughes functional grades at admission (3 [2, 4] vs. 4 [4, 4], p=0.012) and discharge (1.0 [1.0, 2.0] vs. 3.0 [2.0, 3.0], p<0.001) than the axonal degeneration group and showed significantly shorter distal motor latency (DML), Fmin, Fmean, Fmax, and lower F% than the AIDP group (p<0.05). The early identification of RCF from AIDP had relatively obvious features, including slightly elevated CSF protein levels and normal or slightly prolonged DML and F-wave latencies, contrasting with the apparent elevation and prolongation seen in AIDP. Differentiating RCF from axonal degeneration remains challenging. One potential distinguishing factor is that the motor function in RCF tends to be better than in the latter.

Neurologic Clinical, Electrophysiologic, and Pathologic Characteristics of Primary vs Secondary Neurolymphomatosis.

Neurolymphomatosis (NL) is characterized by lymphomatous infiltration of the peripheral nervous system presenting as the initial manifestation of a lymphoma (primary NL [PNL]) or in relapse of a known lymphoma (secondary NL [SNL]). This report details and compares the neurologic clinicopathologic characteristics of these 2 groups. This retrospective study was performed on patients diagnosed with pathologically confirmed NL in nerve between January 1, 1992, and June 31, 2020. Patient clinical characteristics, neurologic examination, imaging studies, EMG, and nerve biopsy data were collected, analyzed, and compared between PNL and SNL. A total of 58 patients were identified (34 PNL and 24 SNL). Time from neurologic symptom onset to diagnosis was longer in PNL at 18.5 months compared with 5.5 months in SNL (p = 0.01). Neurologic symptoms were similar in both patient groups and included primarily sensory loss (98%), severe pain (76%), and asymmetric weakness (76%). A wide spectrum of EMG-confirmed different neuropathy patterns were observed, but patients with SNL had increased numbers of mononeuropathies (n = 8) compared with PNL (n = 1, p = 0.01). MRI studies detected NL more frequently (86%) compared with fluorodeoxyglucose (FDG)-PET CT imaging studies (60%) (p = 0.007). Nerve biopsies revealed B-cell lymphoma (PNL n = 32, SNL n = 22), followed by T-cell lymphoma (PNL n = 2, SNL n = 2), with increased demyelination in both groups and increased axonal degeneration (p = 0.01) and multifocal myelinated fiber loss (p = 0.04) significant in SNL vs PNL. Identifying SNL resulted in patient treatment modifications but a worse prognosis compared with PNL (p = 0.025). While PNL and SNL are both primarily painful and asymmetric neuropathies with axonal and demyelinating features on EMG and nerve biopsy, SNL presents somewhat differently than PNL with fulminant, asymmetric often mononeuropathies better detected on MRI than FDG-PET/CT. The focal pattern of SNL is likely a result of residual cancer cells that evaded initial chemotherapy, which does not cross the blood-nerve barrier, and these cells can later recur and result in fulminant disease. Although still resulting in a poorer prognosis, identifying SNL is important because this changed treatment and management in every SNL case.

Dissociable Effects of Endogenous and Exogenous Attention on Crowding: Evidence from Event-Related Potentials.

Crowding is a common visual phenomenon that can significantly impair the recognition of objects in peripheral vision. Two recent behavioral studies have revealed that both exogenous and endogenous attention can alleviate crowding, but exogenous attention seems to be more effective. The present study employed the event-related potential (ERP) technique to explore the electrophysiological characteristics of the influence of these two types of attention on crowding. In the experiment, participants were required to judge whether the letter "T" was upright or inverted, which may be preceded by an exogenous cue or an endogenous cue indicating the location of the target letter. The behavioral results showed that while exogenous cues reduced crowding in all stimulus onset asynchronies (SOAs), endogenous attention took effects only in long SOA. The ERP results indicated that both endogenous and exogenous cues significantly alleviated the inhibition of visual crowding on the N1 component. However, the endogenous cue was effective only under long SOA, while the exogenous cue was effective only under short SOA conditions. In addition, invalid exogenous cues induced a larger P3 wave amplitude than valid ones in the short SOA condition, but endogenous attention did not show such a difference. These results indicate that both endogenous and exogenous attention can alleviate the effects of visual crowding, but they differ in effect size and temporal dynamics.

Some Characteristics of Peripheral Neuropathy in Newly Diagnosed Type 2 Diabetes Patients

Objectives: To describe the clinical and electrophysiological characteristics of peripheral nerve damage in newly diagnosed type 2 diabetes patients. Subjects and methods: A cross-sectional descriptive study was conducted on 101 people with newly diagnosed type 2 diabetes patients at the Department of Endocrinology - Diabetes and Neurology Center of Bach Mai Hospital. Results: The average age of the patients is 58.04 ± 12.66 years; males account for 60.4%, while females account for 39.6% (p = 0.038). The majority of patients have HbA1C levels ≥ 7%, accounting for 86.1%. The average HbA1C level is 11.6%. There is a correlation between age and abnormalities in electromyography of the median nerve, ulnar nerve, sural nerve, peroneal nerve and tibial nerve. There is a correlation between HbA1C levels and abnormalities in electromyography of the superficial peroneal nerve, median nerve, ulnar nerve, and peroneal nerve (p &lt; 0.05). Conclusion: Nerve conduction studies can reveal early changes in peripheral nerve damage in patients with newly diagnosed diabetes.

Development and Characterization of Primary Brain Cultures from Japanese Quail Embryos.

Cell cultures play a crucial role in neuroscience research, facilitating the elucidation of the complexities of cellular physiology and pathology. The relative simplicity in producing cultures and the accessibility to cells that the cultures provide, in contrast to in vivo settings, allow users to manipulate and monitor cells more easily at higher throughputs and lower costs. These are ideal for screening purposes and electrophysiological characterizations. Despite the prevalence of methodologies for producing brain cultures from various animal models, rodents in particular, approaches for culturing neurons (and glia) from birds are less established or completely absent as in the case of the Japanese quail model. Here, we present a unique culturing protocol for brain cells (e.g., neurons at different maturation levels, such as progenitor cells, excitatory and inhibitory neurons, microglia, and endothelial cells) from entire forebrains of Japanese quail embryos for high-throughput screening of viral vectors in vitro and other various purposes. Following dissection and digestion methods uniquely suited for avian brains, we tailored the growth media and culturing surface to allow the survival of quail brain cultures for more than three weeks in vitro. Key features • We introduce a detailed protocol for producing primary brain cultures from quail embryos' forebrains for up to 30 days. • We show that the cultures support in vitro viral transfections effectively. • We demonstrate the use of the cultures for rapid (days) screening for suitable viruses for quail brain cells, electrophysiological characterizations, and single mRNA sequencing.

Single unit electrophysiology recordings and computational modeling can predict octopus arm movement.

The octopus simplified nervous system holds the potential to reveal principles of motor circuits and improve brain-machine interface devices through computational modeling with machine learning and statistical analysis. Here, an array of carbon electrodes providing single-unit electrophysiology recordings were implanted into the octopus anterior nerve cord. The number of spikes and arm movements in response to stimulation at different locations along the arm were recorded. We observed that the number of spikes occurring within the first 100ms after stimulation were predictive of the resultant movement response. Computational models showed that temporal electrophysiological features could be used to predict whether an arm movement occurred with 88.64% confidence, and if it was a lateral arm movement or a grasping motion with 75.45% confidence. Both supervised and unsupervised methods were applied to gain streaming measurements of octopus arm movements and how their motor circuitry produces rich movement types in real time. Deep learning models and unsupervised dimension reduction identified a consistent set of features that could be used to distinguish different types of arm movements. These models generated predictions for how to evoke a particular, complex movement in an orchestrated sequence for an individual motor circuit.

Novel systematic processing of cardiac magnetic resonance imaging identifies target regions associated with infarct-related ventricular tachycardia.

There is lack of agreement on late gadolinium enhancement cardiac magnetic resonance (LGE-CMR) imaging processing for guiding ventricular tachycardia (VT) ablation. We aim at developing and validating a systematic processing approach on LGE-CMR images to identify VT corridors that contain critical VT isthmus sites. This is a translational study including 18 pigs with established myocardial infarction and inducible VT undergoing in vivo characterization of the anatomical and functional myocardial substrate associated with VT maintenance. Clinical validation was conducted in a multicentre series of 33 patients with ischaemic cardiomyopathy undergoing VT ablation. Three-dimensional LGE-CMR images were processed using systematic scanning of 15 signal intensity (SI) cut-off ranges to obtain surface visualization of all potential VT corridors. Analysis and comparisons of imaging and electrophysiological data were performed in individuals with full electrophysiological characterization of the isthmus sites of at least one VT morphology. In both the experimental pig model and patients undergoing VT ablation, all the electrophysiologically defined isthmus sites (n = 11 and n = 19, respectively) showed overlapping regions with CMR-based potential VT corridors. Such imaging-based VT corridors were less specific than electrophysiologically guided ablation lesions at critical isthmus sites. However, an optimized strategy using the 7 most relevant SI cut-off ranges among patients showed an increase in specificity compared to using 15 SI cut-off ranges (70 vs. 62%, respectively), without diminishing the capability to detect VT isthmus sites (sensitivity 100%). Systematic imaging processing of LGE-CMR sequences using several SI cut-off ranges may improve and standardize procedure planning to identify VT isthmus sites.

Characteristics of anti-contactin1 antibody positive autoimmune nodopathies combined with membranous nephropathy

BackgroundAutoimmune nodopathy (AN) is a very rare new disease entity, especially when combined with membranous nephropathy (MN). MethodsAntibodies against nodal-paranodal cell adhesion molecules in the serum were detected using cell-based assays. Antibody subtypes against contactin-1 (CNTN1) were confirmed. Cases of anti-CNTN1 antibody-positive AN with and without MN were retrieved through a literature search to compare clinical and electrophysiological characteristics. ResultsA 65-year-old male patient with MN developed limb numbness and weakness, along with walking instability. Serum CNTN1 antibodies were positive, primarily those of the IgG4 subtype. Electromyography showed prominent demyelination patterns in both the proximal and distal segments of the nerves compared to the middle nerve trunk. Magnetic resonance imaging revealed enlargement of the bilateral brachial and lumbosacral plexuses and local hyperintensity of the right C5-C6 nerve roots. Thirty-five cases with anti-CNTN1 antibody-positive AN with MN and 51 cases with anti-CNTN1 antibody-positive AN without MN were compared. Furthermore, the proportion of patients with MN combined with AN presenting with acute or subacute onset was higher than that observed in the MN without AN group. Nevertheless, no substantial differences were noted between the two groups concerning the clinical and electrophysiological characteristics, which were mainly elderly men, manifested as sensory ataxia, IgG4 antibody subtype, electrophysiological demyelination, and a certain effect on immunotherapy. ConclusionIn cases of electrophysiological manifestation of demyelinating peripheral neuropathy, especially in distal and poximal segments of nerves, AN should be considered, and further screening for renal function should be performed. Concomitant MN does not aggravate or alleviate peripheral nerve symptoms.

Simultaneous electromechanical monitoring in engineered heart tissues using a mesoscale framework.

Engineered heart tissues (EHTs) generated from human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) represent powerful platforms for human cardiac research, especially in drug testing and disease modeling. Here, we report a flexible, three-dimensional electronic framework that enables real-time, spatiotemporal analysis of electrophysiologic and mechanical signals in EHTs under physiological loading conditions for dynamic, noninvasive, longer-term assessments. These electromechanically monitored EHTs support multisite measurements throughout the tissue under baseline conditions and in response to stimuli. Demonstrations include uses in tracking physiological responses to pharmacologically active agents and in capturing electrophysiological characteristics of reentrant arrhythmias. This platform facilitates precise analysis of signal location and conduction velocity in human cardiomyocyte tissues, as the basis for a broad range of advanced cardiovascular studies.

Electrophysiological properties of neurons in the visual sensory layers of the superior colliculus in early postnatal mice

Objective: To investigate the action potential firing patterns of neurons in the visual sensory layers of the superior colliculus in early postnatal mice and the electrophysiological characteristics of neurons with different firing patterns. Methods: This experimental study utilized whole-cell patch-clamp recordings performed on neurons in the visual sensory layers of the superior colliculus using brain slices from 57 healthy male C57BL/6J mice aged 14 to 20 days (weighing 5.0 to 8.9 g) using brain slices. In current-clamp mode, action potential characteristics were analyzed based on the first action potential generated by depolarizing current, and the firing patterns of neurons were recorded using step depolarizing currents. Neuronal firing patterns were analyzed using hierarchical clustering, and the active electrical properties of neurons with different firing patterns were compared. Results: A total of 135 neurons from the visual sensory layers of the superior colliculus were successfully recorded. Cluster analysis of the neuronal firing patterns identified three types of firing patterns: tonic firing (97, 72%), phasic firing (26, 19%), and single firing (12, 9%). The number of action potentials for each firing pattern was 13.30±7.38, 3.73±3.61, and 0.83±0.39, respectively, with significant differences (P<0.001). There was no significant difference in the membrane potential response to step currents among the three firing pattern types (P>0.05). The action potential amplitudes were (60.45±12.22), (53.67±13.20), and (44.04± 12.92) mV, and the afterhyperpolarization amplitudes were (13.45±13.79), (12.02±13.11), and (20.75±2.85) mV, respectively. The maximum rising slopes were (171.29±77.46), (130.14±61.83), and (78.89±37.08) V/s, and the maximum falling slopes were (-76.33±33.61), (-68.17±31.65), and (-47.97±13.92) V/s, respectively, with all differences being statistically significant (all P<0.05). There were no significant differences in the resting membrane potential, action potential threshold, half-width, and afterhyperpolarization duration among the three firing pattern types (all P>0.05). Conclusions: In the early postnatal mice, neurons in the visual sensory layers of the superior colliculus exhibit three distinct firing patterns: tonic, phasic, and single firing. These firing pattern types show significant differences in action potential amplitude, afterhyperpolarization amplitude, maximum rising slopes, and maximum falling slopes.

Six transition patterns and seven capture types in different left bundle branch bipolar pacing configurations.

This study aims to explore the different transition patterns and capture types during two bipolar pacing tests based on the selective left bundle branch (LBB) capture determined by the continuous pacing and recording technique. In total, 67 patients completed two unipolar and two bipolar pacing tests based on selective LBB capture during screwing-in for left bundle branch pacing (LBBP) using the continuous pacing and recording technique. The electrophysiological characteristics and potential mechanisms of different pacing configurations were further evaluated in this study. We found six transition patterns and derived seven capture types in two bipolar pacing tests according to the analysis of continuous electrocardiogram and electrogram changes. Compared with the conventional configuration of "Tip-Ring+" bipolar pacing, "Ring-Tip+" testing had a lower threshold for simultaneous capture of the LBB and the left and right ventricular septum myocardium (1.57 vs. 2.84 V at 0.5 ms) and was the only configuration to yield the peculiar "LBBP + right ventricular septum pacing (RVSP)" capture type. In this study, we observed for the first time that "Ring-Tip+" bipolar pacing allows for a lower clinically applicable pacing threshold for simultaneous capture of the LBB and left and right ventricular septum myocardium, and the peculiar "LBBP + RVSP" capture type. This may be a more advantageous physiological pacing configuration, warranting further investigation and application in the future. Based on the specific selective LBB capture, we first found six transition patterns and derived seven capture types in two bipolar pacing tests due to the different thresholds of the LBB, left ventricular septal myocardial, and right ventricular septal myocardial. Compared with the conventional configuration of "Tip-Ring+" bipolar pacing, "Ring-Tip+" testing had a lower threshold for simultaneous capture of the LBB and the left and right ventricular septum myocardium (1.57 vs. 2.84 V at 0.5 ms) and was the only configuration to yield the peculiar "LBBP + RVSP" capture type. More pacing strategies should be released and investigated to achieve the best physiological pacing according to the individualized electrophysiological characteristics of patients.

Immune response caused by M1 macrophages elicits atrial fibrillation-like phenotypes in coculture model with isogenic hiPSC-derived cardiomyocytes

BackgroundAtrial fibrillation has an estimated prevalence of 1.5–2%, making it the most common cardiac arrhythmia. The processes that cause and sustain the disease are still not completely understood. An association between atrial fibrillation and systemic, as well as local, inflammatory processes has been reported. However, the exact mechanisms underlying this association have not been established. While it is understood that inflammatory macrophages can influence cardiac electrophysiology, a direct, causative relationship to atrial fibrillation has not been described. This study investigated the pro-arrhythmic effects of activated M1 macrophages on human induced pluripotent stem cell (hiPSC)-derived atrial cardiomyocytes, to propose a mechanistic link between inflammation and atrial fibrillation.MethodsTwo hiPSC lines from healthy individuals were differentiated to atrial cardiomyocytes and M1 macrophages and integrated in an isogenic, pacing-free, atrial fibrillation-like coculture model. Electrophysiology characteristics of cocultures were analysed for beat rate irregularity, electrogram amplitude and conduction velocity using multi electrode arrays. Cocultures were additionally treated using glucocorticoids to suppress M1 inflammation. Bulk RNA sequencing was performed on coculture-isolated atrial cardiomyocytes and compared to meta-analyses of atrial fibrillation patient transcriptomes.ResultsMulti electrode array recordings revealed M1 to cause irregular beating and reduced electrogram amplitude. Conduction analysis further showed significantly lowered conduction homogeneity in M1 cocultures. Transcriptome sequencing revealed reduced expression of key cardiac genes such as SCN5A, KCNA5, ATP1A1, and GJA5 in the atrial cardiomyocytes. Meta-analysis of atrial fibrillation patient transcriptomes showed high correlation to the in vitro model. Treatment of the coculture with glucocorticoids showed reversal of phenotypes, including reduced beat irregularity, improved conduction, and reversed RNA expression profiles.ConclusionsThis study establishes a causal relationship between M1 activation and the development of subsequent atrial arrhythmia, documented as irregularity in spontaneous electrical activation in atrial cardiomyocytes cocultured with activated macrophages. Further, beat rate irregularity could be alleviated using glucocorticoids. Overall, these results point at macrophage-mediated inflammation as a potential AF induction mechanism and offer new targets for therapeutic development. The findings strongly support the relevance of the proposed hiPSC-derived coculture model and present it as a first of its kind disease model.

Non-rapid eye movement sleep slow-wave activity features are associated with amyloid accumulation in older adults with obstructive sleep apnoea.

Obstructive sleep apnoea (OSA) is associated with an increased risk for cognitive impairment and dementia, which likely involves Alzheimer's disease pathology. Non-rapid eye movement slow-wave activity (SWA) has been implicated in amyloid clearance, but it has not been studied in the context of longitudinal amyloid accumulation in OSA. This longitudinal retrospective study aims to investigate the relationship between polysomnographic and electrophysiological SWA features and amyloid accumulation. From the Mayo Clinic Study of Aging cohort, we identified 71 participants ≥60 years old with OSA (mean baseline age = 72.9 ± 7.5 years, 60.6% male, 93% cognitively unimpaired) who had at least 2 consecutive Amyloid Pittsburgh Compound B (PiB)-PET scans and a polysomnographic study within 5 years of the baseline scan and before the second scan. Annualized PiB-PET accumulation [global ΔPiB(log)/year] was estimated by the difference between the second and first log-transformed global PiB-PET uptake estimations divided by the interval between scans (years). Sixty-four participants were included in SWA analysis. SWA was characterized by the mean relative spectral power density (%) in slow oscillation (SO: 0.5-0.9 Hz) and delta (1-3.9 Hz) frequency bands and by their downslopes (SO-slope and delta-slope, respectively) during the diagnostic portion of polysomnography. We fit linear regression models to test for associations among global ΔPiB(log)/year, SWA features (mean SO% and delta% or mean SO-slope and delta-slope), and OSA severity markers, after adjusting for age at baseline PiB-PET, APOE ɛ4 and baseline amyloid positivity. For 1 SD increase in SO% and SO-slope, global ΔPiB(log)/year increased by 0.0033 (95% CI: 0.0001; 0.0064, P = 0.042) and 0.0069 (95% CI: 0.0009; 0.0129, P = 0.026), which were comparable to 32% and 59% of the effect size associated with baseline amyloid positivity, respectively. Delta-slope was associated with a reduction in global ΔPiB(log)/year by -0.0082 (95% CI: -0.0143; -0.0021, P = 0.009). Sleep apnoea severity was not associated with amyloid accumulation. Regional associations were stronger in the pre-frontal region. Both slow-wave slopes had more significant and widespread regional associations. Annualized PiB-PET accumulation was positively associated with SO and SO-slope, which may reflect altered sleep homeostasis due to increased homeostatic pressure in the setting of unmet sleep needs, increased synaptic strength, and/or hyper-excitability in OSA. Delta-slope was inversely associated with PiB-PET accumulation, suggesting it may represent residual physiological activity. Further investigation of SWA dynamics in the presence of sleep disorders before and after treatment is necessary for understanding the relationship between amyloid accumulation and SWA physiology.

Morpho-physiological Diversity of Cholecystokinin-expressing Interneurons in the Dentate Gyrus.

The hippocampus plays a crucial role in learning, memory, and emotion, with the dentate gyrus (DG) serving as the primary gateway. The DG receives multimodal sensory inputs from outside the hippocampus and relays this integrated information to downstream regions for further processing. Within the DG, inhibitory GABAergic interneurons (INs) regulate information processing, thereby influencing the overall hippocampal function. Cholecystokinin (CCK)-expressing INs in the DG are particularly implicated in emotional behavior due to their expression of cannabinoid and serotonin receptors. However, studying the morpho-electrophysiological features and functions of these INs has been challenging due to the off-target labeling of granule cells (GCs), the primary excitatory neurons in the DG, when using the CCK recombinase driver line. To address this issue, we employed an intersectional strategy to selectively label CCK INs, allowing us to investigate their electrophysiological, morphological, and synaptic features, which were further confirmed by post hoc pro-CCK immunostaining. Our analysis identified nine distinct subtypes of CCK INs, each with unique projection patterns targeting specific domains along the axo-somato-dendritic axis of GCs. CCK INs also exhibited diverse passive intrinsic properties and firing patterns. In addition, we found that CCK INs generate action potentials before GCs in response to cortical input, suggesting that they play a role in modulating GC input-output transformation. In summary, our findings indicate that DG CCK INs are diverse subpopulations with distinct roles in network functions.

Understanding electrical pulmonary vein antrum for paroxysmal atrial fibrillation: Further look into superhigh-density electroanatomic mapping of the left atrium

BackgroundAn isolation line placed at the pulmonary vein antrum (PVA) area is superior to ostium level in atrial fibrillation (AF) control. However, less is known about the electrophysiologic characteristics of the PVA. ObjectiveThe aim of this study was to describe the electrophysiologic properties of the PVA. MethodsHigh-density mapping of the left atrium was performed in 18 paroxysmal AF (PAF) patients and 9 age- and sex-matched paroxysmal supraventricular tachycardia (PSVT) patients. Each PVA was divided into 8 segments, and the pulmonary vein (PV) was divided into 4 segments. The electrophysiologic properties included slow conduction, complex fractionated electrograms, and effective refractory period (ERP). ResultsSlow conduction was more prevalent at the PVA (43.2% ± 19.5% vs 14.7% ± 13.0%; P = .001) and PV (61.9% ± 16.4% vs 9.1% ± 9.0%; P < .001) in PAF patients than in PSVT patients during sinus rhythm. Similarly, the area with complex fractionated electrograms was significantly larger at the PVA (133.8 [61.6–233.2] mm2 vs 0.0 [0.0–41.4] mm2; P = .011) in PAF patients during sinus rhythm. The ERP of the PVA was longer in PAF patients than in control at the drive length of 600 ms (260 [230–280] ms vs 220 [190–250] ms; P = .001) and 400 ms (230 [205–250] ms vs 200 [190–220] ms; P = .007). The ERP net difference between the PV and PVA is larger in PAF patients than in control both at 600-ms pacing (40 [20–70] ms vs 10 [10–30] ms; P < .001) and at 400-ms pacing (40 [20–60] ms vs 20 [10–30] ms; P < .001). ConclusionPAF patients have the PVA electrical substrate including slow conduction, complex fractionated electrograms, and ERP dispersion.

Persistent Atrial Fibrillation Phenotypes and Ablation Outcomes: Persistent From Outset vs Progression From Paroxysmal AF

BackgroundMany patients with persistent atrial fibrillation (PsAF) have progressed from an initial paroxysmal phenotype; however, there are patients in whom atrial fibrillation (AF) is persistent at diagnosis. Relatively little is known about this subgroup, but prior observational studies have suggested these patients have worse outcomes with ablation. ObjectivesThis study sought to: 1) assess demographic and electrophysiologic characteristics of patients with PsAF at first diagnosis compared with those with who have progressed from paroxysmal atrial fibrillation (PAF); and 2) assess the impact of pattern of AF at diagnosis on recurrence post ablation. MethodsCAPLA (Catheter Ablation for persistent atrial fibrillation: A Multicentre randomised trial of Pulmonary vein isolation [PVI] vs PVI with posterior Left Atrial wall isolation [PWI]) was a multicenter trial that randomized patients with PsAF to PVI plus PWI or PVI alone. Follow-up was 12 months. Outcomes were assessed after a 3-month blanking period. ResultsA total of 334 patients were included (median age 65.6 years, 23.1% female), 194 (58.1%) had PsAF at first AF diagnosis and 140 (41.9%) had PAF. Patients with PsAF at diagnosis were younger (age 64.0 vs 67.7 years, P = 0.005), had higher rates of heart failure (P < 0.001), and lower left ventricular ejection fraction (54.5% IQR: 40-60 vs 60% IQR: 50-61, P = 0.007). AF recurrence occurred in 85 (43.8%) with PsAF at diagnosis and 70 (50%) with PAF at diagnosis. PsAF at diagnosis was not associated with risk of recurrence on univariable (HR: 0.802; 95% CI: 0.585-1.101; P = 0.173) or multivariable analysis (HR: 0.922; 95% CI: 0.647-1.312; P = 0.650). Median AF burden was 0% in both groups (P = 0.125). There was no difference in left atrial size (P = 0.337) or bipolar voltage (P = 0.579) between the groups. ConclusionsIn the CAPLA cohort of patients, pattern of AF at first diagnosis did not influence post-ablation rate of AF recurrence or AF burden. (Catheter Ablation for persistent atrial fibrillation: A Multicentre randomised trial of Pulmonary vein isolation [PVI] vs PVI with posterior Left Atrial wall isolation [PWI]; ACTRN12616001436460)

Clinical, etiological, and electrophysiological characteristics of patients with peripheral nerve damage caused by the February 6 earthquake in Türkiye

Objectives: This study aimed to analyze the clinical, etiological, and electrophysiological characteristics of the February 6 earthquake victims referred to our center due to nerve damage. Patients and methods: In this retrospective study, the demographic characteristics and findings of clinical examinations of 36 earthquake victims (25 females, 11 males; mean age: 31.6±15.5 years; range, 5 to 61 years) referred to our electrophysiology laboratory during the four-month period following the February 6 earthquake were investigated. The patients’ time spent under rubble, affected extremities, and electrophysiological findings were evaluated, and the locations of their lesions were determined using electromyography. Results: The mean time spent under rubble was 14.94±18.62 h, and 31 (86.1%) patients experienced partial nerve damage. Nerves were affected peripherally in 23 (74.2%) patients, at the lumbosacral plexus level in four (12.9%) patients, and at the brachial plexus level in another four (12.9%). Patients who were under rubble for more than 6.5 h had an increased risk of developing crush syndrome (p=0.014), and those under rubble for more than 8.5 h had an increased risk of developing compartment syndrome (p=0.008). Conclusion: The duration of exposure to rubble has been identified as a significant factor in the severity of nerve injury, as well as the development of compartment syndrome and crush syndrome. Therefore, the potential for peripheral nerve injury, which is a significant cause of morbidity, should be considered in the follow-up of patients who have survived earthquakes.

Behavioural and Electrophysiological Features of WAG/Rij Rats with Different Forms of Genetic Epilepsy

Behavioural and Electrophysiological Features of WAG/Rij Rats with Different Forms of Genetic Epilepsy

Electrophysiological features of cortical 3D networks are deeply modulated by scaffold properties.

Three-dimensionality (3D) was proven essential for developing reliable models for different anatomical compartments and many diseases. However, the neuronal compartment still poses a great challenge as we still do not understand precisely how the brain computes information and how the complex chain of neuronal events can generate conscious behavior. Therefore, a comprehensive model of neuronal tissue has not yet been found. The present work was conceived in this framework: we aimed to contribute to what must be a collective effort by filling in some information on possible 3D strategies to pursue. We compared directly different kinds of scaffolds (i.e., PDMS sponges, thermally crosslinked hydrogels, and glass microbeads) in their effect on neuronal network activity recorded using micro-electrode arrays. While the overall rate of spiking activity remained consistent, the type of scaffold had a notable impact on bursting dynamics. The frequency, density of bursts, and occurrence of random spikes were all affected. The examination of inter-burst intervals revealed distinct burst generation patterns unique to different scaffold types. Network burst propagation unveiled divergent trends among configurations. Notably, it showed the most differences, underlying that functional variations may arise from a different 3D spatial organization. This evidence suggests that not all 3D neuronal constructs can sustain the same level of richness of activity. Furthermore, we commented on the reproducibility, efficacy, and scalability of the methods, where the beads still offer superior performances. By comparing different 3D scaffolds, our results move toward understanding the best strategies to develop functional 3D neuronal units for reliable pre-clinical studies.