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The use of exploratory network analysis has increased in psychopathology research over the past decade. A benefit of exploratory network analysis is the wealth of information it can provide; however, a single analysis may generate more inferences than what can be discussed in one manuscript (e.g., centrality indices of each node). This necessitates that authors choose which results to discuss in further detail and which to omit. Without a guide for this process, the likelihood of a biased interpretation is high. We propose that the integration of theory throughout the research process makes the interpretation of exploratory networks more manageable for the researcher and more likely to result in an interpretation that advances science. The goals of this paper are to differentiate between exploratory and confirmatory network analyses, discuss the utility of exploratory work, and provide a practical framework that uses theory as a guide to interpret exploratory network analyses.

Peanut (Arachis hypogaea L.) yield and financial return can be negatively affected by weeds and the combination of early leaf spot disease [ Passalora arachidicola (Hori) U. Braun] and late leaf spot disease [ Nothopassalora personata (Berk. & M.A. Curtis) U. Braun, C. Nakash., Videira & Crous] in Ghana. Research was conducted in southern Ghana to evaluate hand-weeding, herbicide applied preemergence (PRE) or herbicide applied postemergence (POST), a combination of PRE and POST herbicides, and PRE or POST herbicides supplemented with hand-weeding and disease management practices (i.e., no fungicide or a two sequential fungicide applications 45 and 60 days after planting). Although some differences in leaf spot severity were observed based on weed management, peanut pod yield and financial return based on yield and cost of pest management practices were affected by weed management and disease management practices individually but not the interaction of these treatment factors. The weed management practices with the highest financial return included a POST herbicide with or without hand weeding and a PRE herbicide followed by hand-weeding or a POST herbicide.

Introduction: This pilot study examined the effectiveness of two different 5-week reminder interventions to achieve adequate water intake and hydration in women as well as the effects of body composition and self-efficacy on hydration. Methods: Twenty-two apparently healthy adult women were randomly assigned to the 64 oz. motivational water bottle group (n = 11), or the water reminder – daily tracker app group (n = 11). Body composition, predicted VO2max, and self-efficacy were assessed at baseline, post 5-week intervention, and after a 30-day follow-up period. Urine markers (color, specific gravity, and pH) were reported at baseline, weekly throughout the 5-week intervention, and the last 3 days of the 30-day follow-up period. During the interventions, participants self-reported daily step count, resting heart rate, water intake, and symptoms of dehydration. Results: Both 5-week reminder interventions successfully increased water intake by an average of 29% with a mean daily consumption of 72.05 + 18.75 ounces, meeting recommendations. Based on regression analysis, self-efficacy predicted daily water intake at the end of the 5-week intervention (p = 0.03). Urine markers of hydration classified several participants as dehydrated at the end of 5 weeks. In addition, there was a significant inverse relationship between BMI and Ucol at baseline (p = 0.05), week 5 (p = 0.05), and follow-up (p = 0.04), indicating that women with a higher BMI were more dehydrated. In hydrated participants, memory and ability to concentrate significantly improved (p = 0.019). Results indicated there were no significant differences in water intake and hydration between the two groups at baseline, week 5, and follow-up. Conclusions: Both 5-week interventions successfully increased water intake. However, based on urine markers of hydration women may be more prone to involuntary, chronic dehydration due to a higher body fat percentage.

The narcissistic admiration and rivalry concept (NARC) model of grandiose narcissism posits that striving for uniqueness, grandiose fantasies, and charmingness define narcissistic admiration, where...

Network analysis offers an opportunity to gain a more nuanced view of the connections between the darker aspects of personality by examining the interrelationships between the components that make up these constructs. We examined the associations that five dark personality dispositions (i.e., narcissism, Machiavellianism, psychopathy, sadism, and spitefulness) had with pathological personality traits (i.e., antagonism, disinhibition, detachment, negative affectivity, and psychoticism) via network analysis. These dark personality networks were examined in four studies (N = 1800), wherein the second study attempted to replicate the network from the first study, while the last two studies incorporated more specific and independent measures of dark personality features (e.g., grandiose and vulnerable narcissism). Although there were differences across network structures in these studies, the pathological personality trait of antagonism consistently evinced high expected influence centrality (i.e., it was the most strongly connected and possibly influential trait in each network). Our discussion focuses on the implications of these results for the understanding of the connections between the darker aspects of personality.

Background: Chronic diseases disproportionately affect minority and rural populations. Specialist access improves health outcomes in many chronic diseases but access to specialist care may be limited. Video telemedicine can expand access to specialists in rural locations. Introduction: The objective of this study was to understand patient and provider perspectives on the benefits, barriers, and best uses of video telemedicine in chronic disease specialty care in the setting of a well-established store-and-forward telehealth network with recent expansion of video telemedicine. Materials and Methods: Patients and providers were recruited from specialty clinics at the Alaska Native Medical Center. Semi-structured interviews were conducted after a brief survey. Interview questions focused on perceived benefits and barriers to use of video telemedicine for chronic disease specialty care, as well as the best uses of telemedicine and factors that improve the ease of use. Results: Participants considered the major benefit of telemedicine to be a reduction in travel and related costs. Telemedicine was considered by most participants as less appropriate for new conditions or for new patients. Limitations included the need to perform a physical examination or needing tests, procedures, or medications that cannot be performed in rural clinics. Discussion: This study describes the views of patients and providers who have experience with telemedicine. It did not evaluate the cost-effectiveness or impact on health outcomes, although further studies are planned. Conclusions: Patients and providers view video telemedicine as a reasonable addition to in-person visits for the management of chronic disease, although there are limitations.

In the current literature there is a general lack of research examining the impact of causal explanations on beliefs about psychotherapy, willingness to accept treatment, and treatment expectancies. The present study was aimed at experimentally investigating effects of causal explanations for depression on treatment-seeking behavior and beliefs. Participants at a large Southern university (N = 139; 78% female; average age 19.77) received bogus screening results indicating high depression risk, then viewed an explanation of depression etiology (fixed biological vs. malleable biopsychosocial) before receiving a treatment referral (antidepressant vs. psychotherapy). Participants accepted the cover story at face value, but some expressed doubts about the screening task’s ability to properly assess their individual depression. Within the skeptics, those given a fixed biological explanation for depression were relatively unwilling to accept either treatment, but those given a malleable biopsychosocial explanation were much more willing to accept psychotherapy. Importantly, differences in skepticism were not due to levels of actual depressive symptoms. Information about the malleability of depression may have a protective effect for persons who otherwise would not accept treatment.

E Samuel Winer, D Gage Jordan, Amanda C Collins Department of Psychology, Mississippi State University, Starkville, MS 39762, USA Abstract: Anhedonia has been implicated as a core symptom of depression and schizophrenia, and studying anhedonia has yielded a wide array of important findings aiding the understanding and identification of psychological disorders. However, anhedonia is a complex and multifaceted construct; indeed, the term anhedonia has been defined in psychological and psychiatric research as many different concepts, a number of which are theoretically and methodologically independent of one another. In this review alone, we discuss research that separates social aspects of anhedonia from the physical contexts of anhedonia, with the former emphasizing interpersonal relationships as important to anhedonic symptoms, and the latter emphasizing biological and brain-related impairment as potential causes of chronic anhedonia states. We highlight research that distinguishes between interest in (wanting) or experience of (liking) potential pleasure as definitions of anhedonia and also disambiguate methodologically and theoretically distinct ways of assessing 1) trait-level dispositional tendencies, 2) state-level cross-sectional assessments, and 3) symptom-based recent changes from baseline, all of which have been used to indicate anhedonia. Lastly, we describe cutting-edge translations of basic anhedonia research into treatment and discuss how different conceptualizations of anhedonia, guided by recent theoretical and methodological advances, have begun to usher in a science of anhedonia that is consistent with increasingly personalized assessment and treatment. We conclude with a note for future research, emphasizing that continued application of theoretically based operationalizations of anhedonia and sound design are paramount to continue the recent progress toward meaningful and specific use of the anhedonia construct in clinical research. Keywords: wanting, liking, recent changes, state, trait, interest, pleasure, reward

Anhedonia has been implicated as a core symptom of depression and schizophrenia, and studying anhedonia has yielded a wide array of important findings aiding the understanding and identification of psychological disorders. However, anhedonia is a complex and multifaceted construct; indeed, the term anhedonia has been defined in psychological and psychiatric research as many different concepts, a number of which are theoretically and methodologically independent of one another. In this review alone, we discuss research that separates social aspects of anhedonia from the physical contexts of anhedonia, with the former emphasizing interpersonal relationships as important to anhedonic symptoms, and the latter emphasizing biological and brain-related impairment as potential causes of chronic anhedonia states. We highlight research that distinguishes between interest in (wanting) or experience of (liking) potential pleasure as definitions of anhedonia and also disambiguate methodologically and theoretically distinct ways of assessing 1) trait-level dispositional tendencies, 2) state-level cross-sectional assessments, and 3) symptom-based recent changes from baseline, all of which have been used to indicate anhedonia. Lastly, we describe cutting-edge translations of basic anhedonia research into treatment and discuss how different conceptualizations of anhedonia, guided by recent theoretical and methodological advances, have begun to usher in a science of anhedonia that is consistent with increasingly personalized assessment and treatment. We conclude with a note for future research, emphasizing that continued application of theoretically based operationalizations of anhedonia and sound design are paramount to continue the recent progress toward meaningful and specific use of the anhedonia construct in clinical research.

OBJECTIVE Components of rumination, including brooding and reflection, as well as devaluating prospective positivity, may help maintain depressive symptoms. We examined these components together for the first time using network analysis. METHODS We examined the robustness of rumination communities of closely related items in one network and then examined the interrelationships between rumination communities, devaluation of positivity, and depression, in a second network. RESULTS Three rumination communities emerged, replicating findings of Bernstein et al. (2019). Within a dense network, nodes representing brooding, reflective pondering, and difficulty trusting positive feelings were most influential. In addition, the node representing the depressive symptom negative self-views shared strong edges with nodes representing devaluation of positivity and brooding. CONCLUSION Brooding, reflective pondering, and elements of devaluing positivity are influential to depressive symptoms and may be important future experimental and therapeutic targets. Depressed individuals with negative self-views may engage in brooding and devalue their experience of positivity.

OBJECTIVES Anticoagulation with unfractionated heparin remains the most common therapy used to prevent circuit thrombosis during extracorporeal membrane oxygenation, but no consensus exists on the optimal method or targets for heparin monitoring. From 2015 to 2018, we switched from monitoring heparin during extracorporeal membrane oxygenation using activated clotting times to anti-Xa heparin activity assays. This study describes the transition from activated clotting time to anti-Xa heparin activity assay monitoring and the associated clinical changes. DESIGN Retrospective analysis at single institution. SETTING Referral Children's Hospital. PATIENTS A total of 145 pediatric patients over 152 extracorporeal membrane oxygenation runs using 206 extracorporeal membrane oxygenation circuits. INTERVENTIONS Anticoagulation protocol quality improvement. MEASUREMENTS AND MAIN RESULTS From 2015 to 2018, heparin monitoring during extracorporeal membrane oxygenation changed from hourly activated clotting time to anti-Xa heparin activity assay every 6 hours with an associated 75% reduction in the circuit changes per extracorporeal membrane oxygenation day. Over the 4 years, patients with an average anti-Xa heparin activity assay of at least 0.25 U/mL showed a 59% reduction in circuit changes per extracorporeal membrane oxygenation day compared with less than 0.15 U/mL. In addition to its association with reduced circuit changes, anti-Xa heparin activity assay monitoring was also associated with reduced heparin dose changes per day from 11 ± 4 to 2 ± 1 (p < 0.001), smaller heparin dose changes (less variation in dose), and reduced diagnostic phlebotomy volumes from 41 ± 6 to 25 ± 11 mL/day (p < 0.001). The number of patients with reported bleeding decreased from 69% using activated clotting time to 51% (p = 0.03). Transfusion rates did not change. CONCLUSIONS Over 4 years, we replaced the activated clotting time assay with the anti-Xa heparin activity assay for heparin monitoring during extracorporeal membrane oxygenation. Minimum anti-Xa heparin activity assay levels of 0.25 U/mL were associated with reduced circuit changes. Further studies are needed to determine the optimum anti-Xa heparin activity assay therapeutic range during extracorporeal membrane oxygenation.

A large collection of Ethiopian sorghum landraces, characterized by agro-ecology and racial-group, was found to contain high levels of diversity and admixture, with significant SNP associations identified for environmental adaptation. Sorghum [Sorghum bicolor L. (Moench)] is a major staple food crop in Ethiopia, exhibiting extensive genetic diversity with adaptations to diverse agroecologies. The environmental and climatic drivers, as well as the genomic basis of adaptation, are poorly understood in Ethiopian sorghum and are critical elements for the development of climate-resilient crops. Exploration of the genome-environment association (GEA) is important for identifying adaptive loci and predicting phenotypic variation. The current study aimed to better understand the GEA of a large collection of Ethiopian sorghum landraces (n = 940), characterized with genome-wide SNP markers, to investigate key traits related to adaptation to temperature, precipitation and altitude. The Ethiopian sorghum landrace collection was found to consist of 12 subpopulations with high levels of admixture (47%), representing all the major racial groups of cultivated sorghum with the exception of kafir. Redundancy analysis indicated that agroecology explained up to 10% of the total SNP variation, and geographical location up to 6%. GEA identified 18 significant SNP markers for environmental variables. These SNPs were found to be significantly enriched (P 0.05) for a priori QTL for drought and cold adaptation. The findings from this study improve our understanding of the genetic control of adaptive traits in Ethiopian sorghum. Further, the Ethiopian sorghum germplasm collection provides sources of adaptation to harsh environments (cold and/or drought) that could be deployed in breeding programs globally for abiotic stress adaptation.

Objectives Reward devaluation theory (RDT) posits that some depressed individuals avoid positivity due to its previous association with negative outcomes. Behavioral indicators of avoidance of reward support RDT, but self-report indicators have yet to be examined discriminantly. Two candidate self-report measures were examined in relation to depression: negative affect interference (NAI), or the experience of negative affect in response to positivity, and fear of happiness, a fear of prospective happiness. Method Participants completed measures assessing NAI, fear of happiness scale, and depression online via Amazon's Mechanical Turk at three time points (N = 375). Multilevel modeling examined the relationship between NAI, fear of happiness, and depressive symptoms longitudinally. Results NAI and fear of happiness were both positively associated with depressive symptoms. They both uniquely predicted depressive symptoms when included within the same model. Conclusions These findings suggest that different conceptualizations of positivity avoidance are uniquely associated with depressive symptoms.

Depression has been linked to multiple forms of aggressive behavior in college students; however, it is unclear which aspects of depression explain this connection. Anhedonia, defined as the loss of interest and/or pleasure in previously enjoyed activities, may provide unique information about relationships between depression and aggression. Using cross-sectional data from two independent samples of college students ( N = 747 and N = 736 for Study 1 and Study 2, respectively), we examined whether anhedonia helped explain the relationship between broader depressive symptoms and different forms of aggressive and antisocial behavior. Anhedonia accounted for variance in both self-directed aggression and antisocial behavior independent of gender, hostility, anger, other depressive symptoms, and cognitive distortions (Study 2). In addition, there were significant indirect effects of depressive symptoms on self-directed aggression (Studies 1 and 2) and antisocial behavior (Study 2) via anhedonia. Hypotheses involving other-directed aggression received mixed support, with anhedonia atemporally associated with other-directed aggression independent of broader depressive symptoms in Study 1, but not in Study 2. The current findings suggest that anhedonia is an important individual difference that helps explain the relationship between depression and aggressive and antisocial acts and that anhedonia may be differentially associated with various types of aggressive and antisocial behavior.

Aflatoxins are naturally occurring toxic chemical substances that are produced by fungal species called Aspergillus flavus. The toxic substances are secondary metabolites, which contaminate groundnut while growing in the field and also post-harvest. Drought stress is one of the factors that contribute to increased aflatoxin levels in groundnut during field production. This study was conducted in a screen house at ICRISAT-Chitedze Agricultural Research Station, Malawi to investigate the effects of drought on aflatoxin contamination and A.flavus population in the soil. Four drought stress levels; prolonged (4 weeks), min (3 weeks), mild (2 weeks) and no drought were imposed on five groundnut varieties at pod filling stage. Soil samples were collected from each plot four times; at planting, beginning of drought, end of drought and at harvest. Aflatoxin levels in groundnut grain samples were estimated by use of neogenstrips read with mobile assay tablet reader. Population densities of A.flavus in soil samples collected from the plots were estimated using serial dilutions plated on the selective media, modified dichloran Rose Bengal (MDRB) and quantify A.flavus within 3 days after incubation at 37°C.The results showed that there were significant differences in aflatoxin contamination between drought stress levels (p = 0.011). High aflatoxin contamination was observed under prolonged drought (22.0 ppb) compared to and no drought treatment (1.5 ppb). None of the varieties used in the study showed either resistance or susceptibility to aflatoxin contamination under drought or adequate soil moisture. The results also showed that there were significant differences in A.flavus population at drought period and harvesting time and the mean population of A.flavus in prolonged drought at end of stress and harvesting were 8511 and 6044 cfu/g of soil respectively. It was concluded that drought contribute to aflatoxin contamination in groundnut, and also increased the A.flavus population in soil and also at harvesting.

The performance characteristics of the Earth Networks Total Lightning Network (ENTLN) were evaluated by using as ground-truth natural cloud-to-ground (CG) lightning data acquired at the Lightning Observatory in Gainesville (LOG) and rocket-triggered lightning data obtained at Camp Blanding (CB), Florida, in 2014 and 2015. Two ENTLN processors (data processing algorithms) were evaluated. The old processor (P2014) was put into use in June 2014 and the new one (P2015) has been operational since August 2015. Based on the natural-CG-lightning dataset (219 flashes containing 608 strokes), the flash detection efficiency (DE), flash classification accuracy (CA), stroke DE, and stroke CA for the new processor were found to be 99%, 97%, 96%, and 91%, respectively, and the corresponding values for the old processor were 99%, 91%, 97%, and 68%. The stroke DE and stroke CA for first strokes are higher than those for subsequent strokes. Based on the rocket-triggered lightning dataset (36 CG flashes containing 175 strokes), the flash DE, flash CA, stroke DE, and stroke CA for the new processor were found to be 100%, 97%, 97%, and 86%, respectively, while the corresponding values for the old processor were 100%, 92%, 97%, and 42%. The median values of location error and absolute peak current estimation error were 215 m and 15% for the new processor, and 205 m and 15% for the old processor. For both natural and triggered CG lightning, strokes with higher peak currents were more likely to be both detected and correctly classified by the ENTLN.

It has been argued in the technical literature, and widely reported in the popular press, that cosmic ray air showers (CRASs) can initiate lightning via a mechanism known as relativistic runaway electron avalanche (RREA), where large numbers of high energy and low energy electrons can, somehow, cause the local atmosphere in a thundercloud to transition to a conducting state. In response to this claim, other researchers have published simulations showing that the electron density produced by RREA is far too small to be able to affect the conductivity in the cloud sufficiently to initiate lightning. In this paper, we compare 74 days of cosmic ray air shower data collected in north central Florida during 2013, 2014, and 2015, the recorded CRASs having primary energies on the order of 1016 eV to 1018 eV and zenith angles less than 38 degrees, with Lightning Mapping Array (LMA) data, and we show that there is no evidence that the detected cosmic ray air showers initiated lightning. Furthermore, we show that the average probability of any of our detected cosmic ray air showers to initiate a lightning flash can be no more than 5 percent. If all lightning flashes were initiated by cosmic ray air showers, then about 1.6 percent of detected CRASs would initiate lightning, therefore we do not have enough data to exclude the possibility that lightning flashes could be initiated by cosmic ray air showers.

Ground waves and sky waves measured 209 km and 250 km south of six triggered lightning flashes containing 30 strokes that occurred in the half-hour before sunset on 27 August 2015 are presented and analyzed. We use a cross-correlation technique to find the ionospheric effective reflection height and compare our results to previous techniques that calculate effective height based on the time delay between ground wave and sky wave time domain features. From the first flash to the last flash there is, on average, a 1.6 km increase in effective ionospheric height, whereas no change in effective ionospheric height can be discerned along the individual strokes of a given flash. We show to what extent the triggered lightning radiation source can be described (using channel-base current, channel geometry, and channel luminosity versus time and height) and speculate that a well-characterized source could allow a more accurate determination of the electromagnetic fields radiated toward the ionosphere than has been done to date. We show that both channel geometry and the change in return stroke current amplitude and waveshape with channel height (inferred from measured channel luminosity versus height and time) determine the waveshape of the ground wave (and presumably the upward propagating wave that results in the sky wave) and that the waveshape of the ground wave does not appear to be related to the current versus time waveform measured at the channel base other than a roughly linear relationship between the two peak values.

Fourier analysis is applied to time-domain return-stroke luminosity signals to calculate the phase and group velocities and the amplitude of the luminosity signals as a function of frequency measured between 4 m and 115 m during twelve triggered lightning strokes. We show that pairs of time-domain luminosity signals measured at different heights can be interpreted as the input and the output of a system whose frequency-domain transfer function can be determined from the measured time-domain signals. From the frequency-domain transfer function phase we find the phase and group velocities, and luminosity amplitude as a function of triggered lightning channel height and signal frequency ranging from 50 kHz to 300 kHz. We show that higher frequency luminosity components propagate faster than the lower frequency components and that higher frequency luminosity components attenuate more rapidly than lower frequency components. Finally, we calculate time-domain return stroke velocities as a function of channel height using two time-delay techniques: 1) measurement at the 20% amplitude level, and 2) cross-correlation.

Using a high-speed optical imaging system, we have observed the step formation bright pulse discharges occurring at the tip of dart-stepped leaders of rocket triggered lightning with a time resolution of 0.1 µs and a spatial resolution of about 1.4 m. Each of the step formation pulse discharges appeared to initiate at a location immediately below the bottom of its previous pulse discharge and to propagate in bidirectional (upward and downward) waves with a speed on the order of 107 m/s. The downward waves of the pulse discharges tended to slow down significantly after they propagated a distance of about 2 m. Based on the results observed in this study and those published in literatures, we propose a conceptual view of leader step formation.

Objective Network analysis in psychology has ushered in a potentially revolutionary way of analyzing clinical data. One novel methodology is in the construction of temporal networks, models that examine directionality between symptoms over time. This paper provides context for how these models are applied to clinically-relevant longitudinal data. Methods We provide a survey of statistical and methodological issues involved in temporal network analysis, providing a description of available estimation tools and applications for conducting such analyses. Further, we provide supplemental R code and discuss simulations examining temporal networks that vary in sample size, number of variables, and number of time points. Results The following packages and software are reviewed: graphicalVAR, mlVAR, gimme, SparseTSCGM, mgm, psychonetrics, and the Mplus dynamic structural equation modeling module. We discuss the utility each procedure has for specific design considerations. Conclusion We conclude with notes on resources for estimating these models, emphasizing how temporal networks best approximate network theory.

We report on a terrestrial gamma ray flash (TGF) that occurred on 15 August 2014 coincident with an altitude-triggered lightning at the International Center for Lightning Research and Testing (ICLRT) in North Central Florida. The TGF was observed by a ground-level network of gamma ray, close electric field, distant magnetic field, Lightning Mapping Array (LMA), optical, and radar measurements. Simultaneous gamma ray and LMA data indicate that the upward positive leader of the triggered lightning flash induced relativistic runaway electron avalanches when the leader tip was at about 3.5 km altitude, resulting in the observed TGF. Channel luminosity and electric field data show that there was an initial continuous current (ICC) pulse in the lightning channel to ground during the time of the TGF. Modeling of the observed ICC pulse electric fields measured at close range (100–200 m) indicates that the ICC pulse current had both a slow and fast component (full widths at half maximum of 235 μs and 59 μs) and that the fast component was more or less coincident with the TGF, suggesting a physical association between the relativistic runaway electron avalanches and the ICC pulse observed at ground. Our ICC pulse model reproduces moderately well the measured close electric fields at the ICLRT as well as three independent magnetic field measurements made about 250 km away. Radar and LMA data suggest that there was negative charge near the region in which the TGF was initiated.

The recent discovery of long recovery, early VLF scattering events (LOREs) indicates that the electric field changes from lightning discharges are capable of producing long-lasting disturbances (up to tens of minutes) in the upper mesosphere and lower ionosphere. Comparison of lightning mapping array, broadband (up to 10 MHz) electric field, and VLF (∼300 Hz to 42 kHz) magnetic field measurements shows that the field changes produced by initial breakdown (IB) processes and the following leaders in natural, cloud-to-ground lightning discharges are detectable in VLF magnetic field measurements at long distances. IB radiation has been detected in VLF for lightning discharges occurring up to 2630 km away from the VLF observing station. Radio atmospherics associated with 52 LOREs, 51 regular recovery events, and 3098 flashes detected by National Lightning Detection Network and/or GLD360 were examined for IB radiation occurring up to 15 ms before the return stroke. Our analysis reveals that in contrast to regular recovery early VLF events, LOREs are strongly associated with lightning discharges which exhibit an intense IB process and a fast first leader (typical duration