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Clayson PE. The psychometric upgrade psychophysiology needs. Psychophysiology 2024; 61:e14522. [PMID: 38228400 PMCID: PMC10922751 DOI: 10.1111/psyp.14522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 12/13/2023] [Accepted: 12/19/2023] [Indexed: 01/18/2024]
Abstract
Although biological measurements are constrained by the same fundamental psychometric principles as self-report measurements, these essential principles are often neglected in most fields of neuroscience, including psychophysiology. Potential reasons for this neglect could include a lack of understanding of appropriate measurement theory or a lack of accessible software for psychometric analysis. Generalizability theory is a flexible and multifaceted measurement theory that is well suited to handling the nuances of psychophysiological data, such as the often unbalanced number of trials and intraindividual variability of scores of event-related brain potential (ERP) data. The ERP Reliability Analysis Toolbox (ERA Toolbox) was designed for psychophysiologists and is tractable software that can support the routine evaluation of psychometrics using generalizability theory. Psychometrics can guide task refinement, data-processing decisions, and selection of candidate biomarkers for clinical trials. The present review provides an extensive treatment of additional psychometric characteristics relevant to studies of psychophysiology, including validity and validation, standardization, dimensionality, and measurement invariance. Although the review focuses on ERPs, the discussion applies broadly to psychophysiological measures and beyond. The tools needed to rigorously assess psychometric reliability and validate psychophysiological measures are now readily available. With the profound implications that psychophysiological research can have on understanding brain-behavior relationships and the identification of biomarkers, there is simply too much at stake to ignore the crucial processes of evaluating psychometric reliability and validity.
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Affiliation(s)
- Peter E. Clayson
- Department of Psychology, University of South Florida, Tampa, FL, USA
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2
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Riehm CD, Zuleger T, Diekfuss JA, Arellano E, Myer GD. The Evolution of Neuroimaging Technologies to Evaluate Neural Activity Related to Knee Pain and Injury Risk. Curr Rev Musculoskelet Med 2024; 17:14-22. [PMID: 38109007 PMCID: PMC10766917 DOI: 10.1007/s12178-023-09877-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/26/2023] [Indexed: 12/19/2023]
Abstract
PURPOSE OF REVIEW In this review, we present recent findings and advancements in the use of neuroimaging to evaluate neural activity relative to ACL injury risk and patellofemoral pain. In particular, we describe prior work using fMRI and EEG that demonstrate the value of these techniques as well as the necessity of continued development in this area. Our goal is to support future work by providing guidance for the successful application of neuroimaging techniques that most effectively expose pain and injury mechanisms. RECENT FINDINGS Recent studies that utilized both fMRI and EEG indicate that athletes who are at risk for future ACL injury exhibit divergent brain activity both during active lower extremity movement and at rest. Such activity patterns are likely due to alterations to cognitive, visual, and attentional processes that manifest as coordination deficits during naturalistic movement that may result in higher risk of injury. Similarly, in individuals with PFP altered brain activity in a number of key regions is related to subjective pain judgements as well as measures of fear of movement. Although these findings may begin to allow objective pain assessment and identification, continued refinement is needed. One key limitation across both ACL and PFP related work is the restriction of movement during fMRI and EEG data collection, which drastically limits ecological validity. Given the lack of sufficient research using EEG and fMRI within a naturalistic setting, our recommendation is that researchers target the use of mobile, source localized EEG as a primary methodology for exposing neural mechanisms of ACL injury risk and PFP. Our contention is that this method provides an optimal balance of spatial and temporal resolution with ecological validity via naturalistic movement.
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Affiliation(s)
- Christopher D Riehm
- Emory Sports Performance And Research Center (SPARC), 4450 Falcon Pkwy, Flowery Branch, GA, 30542, USA.
- Emory Sports Medicine Center, Atlanta, GA, USA.
- Department of Orthopaedics, Emory University School of Medicine, Atlanta, GA, USA.
| | - Taylor Zuleger
- Emory Sports Performance And Research Center (SPARC), 4450 Falcon Pkwy, Flowery Branch, GA, 30542, USA
- Emory Sports Medicine Center, Atlanta, GA, USA
- Department of Orthopaedics, Emory University School of Medicine, Atlanta, GA, USA
- Neuroscience Graduate Program, University of Cincinnati School of Medicine, Cincinnati, OH, USA
| | - Jed A Diekfuss
- Emory Sports Performance And Research Center (SPARC), 4450 Falcon Pkwy, Flowery Branch, GA, 30542, USA
- Emory Sports Medicine Center, Atlanta, GA, USA
- Department of Orthopaedics, Emory University School of Medicine, Atlanta, GA, USA
| | - Emilio Arellano
- Department of Orthopaedics, Emory University School of Medicine, Atlanta, GA, USA
| | - Gregory D Myer
- Emory Sports Performance And Research Center (SPARC), 4450 Falcon Pkwy, Flowery Branch, GA, 30542, USA
- Emory Sports Medicine Center, Atlanta, GA, USA
- Department of Orthopaedics, Emory University School of Medicine, Atlanta, GA, USA
- Youth Physical Development Centre, Cardiff Metropolitan University, Wales, UK
- The Micheli Center for Sports Injury Prevention, Waltham, MA, USA
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Tichelman NL, Foerges AL, Elmenhorst EM, Lange D, Hennecke E, Baur DM, Beer S, Kroll T, Neumaier B, Bauer A, Landolt HP, Aeschbach D, Elmenhorst D. A genetic variation in the adenosine A2A receptor gene contributes to variability in oscillatory alpha power in wake and sleep EEG and A 1 adenosine receptor availability in the human brain. Neuroimage 2023; 280:120345. [PMID: 37625500 DOI: 10.1016/j.neuroimage.2023.120345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 07/25/2023] [Accepted: 08/22/2023] [Indexed: 08/27/2023] Open
Abstract
The EEG alpha rhythm (∼ 8-13 Hz) is one of the most salient human brain activity rhythms, modulated by the level of attention and vigilance and related to cerebral energy metabolism. Spectral power in the alpha range in wakefulness and sleep strongly varies among individuals based on genetic predisposition. Knowledge about the underlying genes is scarce, yet small studies indicated that the variant rs5751876 of the gene encoding A2A adenosine receptors (ADORA2A) may contribute to the inter-individual variation. The neuromodulator adenosine is directly linked to energy metabolism as product of adenosine tri-phosphate breakdown and acts as a sleep promoting molecule by activating A1 and A2A adenosine receptors. We performed sleep and positron emission tomography studies in 59 healthy carriers of different rs5751876 alleles, and quantified EEG oscillatory alpha power in wakefulness and sleep, as well as A1 adenosine receptor availability with 18F-CPFPX. Oscillatory alpha power was higher in homozygous C-allele carriers (n = 27, 11 females) compared to heterozygous and homozygous carriers of the T-allele (n(C/T) = 23, n(T/T) = 5, 13 females) (F(18,37) = 2.35, p = 0.014, Wilk's Λ = 0.487). Furthermore, a modulatory effect of ADORA2A genotype on A1 adenosine receptor binding potential was found across all considered brain regions (F(18,40) = 2.62, p = 0.006, Wilk's Λ = 0.459), which remained significant for circumscribed occipital region of calcarine fissures after correction for multiple comparisons. In female participants, a correlation between individual differences in oscillatory alpha power and A1 receptor availability was observed. In conclusion, we confirmed that a genetic variant of ADORA2A affects individual alpha power, while a direct modulatory effect via A1 adenosine receptors in females is suggested.
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Affiliation(s)
- Naemi L Tichelman
- Forschungszentrum Jülich, Institute of Neuroscience and Medicine (INM-2), Wilhelm-Johnen-Strasse, Jülich, North Rhine-Westphalia 52428, Germany
| | - Anna L Foerges
- Forschungszentrum Jülich, Institute of Neuroscience and Medicine (INM-2), Wilhelm-Johnen-Strasse, Jülich, North Rhine-Westphalia 52428, Germany; RWTH Aachen University, Department of Neurophysiology, Institute of Zoology (Bio-II), Worringerweg 3, Aachen, North Rhine-Westphalia 52074, Germany
| | - Eva-Maria Elmenhorst
- German Aerospace Center, Institute of Aerospace Medicine, Linder Höhe, Cologne, North Rhine-Westphalia 51147, Germany; Institute for Occupational, Social and Environmental Medicine, Medical Faculty, RWTH Aachen University, Aachen, North Rhine-Westphalia 52074, Germany
| | - Denise Lange
- German Aerospace Center, Institute of Aerospace Medicine, Linder Höhe, Cologne, North Rhine-Westphalia 51147, Germany
| | - Eva Hennecke
- German Aerospace Center, Institute of Aerospace Medicine, Linder Höhe, Cologne, North Rhine-Westphalia 51147, Germany
| | - Diego M Baur
- University of Zurich, Institute of Pharmacology & Toxicology, Winterthurerstrasse 190, Zurich 8057, Switzerland and Sleep & Health Zurich, University Center of Competence, University of Zurich, Zurich, Switzerland
| | - Simone Beer
- Forschungszentrum Jülich, Institute of Neuroscience and Medicine (INM-2), Wilhelm-Johnen-Strasse, Jülich, North Rhine-Westphalia 52428, Germany
| | - Tina Kroll
- Forschungszentrum Jülich, Institute of Neuroscience and Medicine (INM-2), Wilhelm-Johnen-Strasse, Jülich, North Rhine-Westphalia 52428, Germany
| | - Bernd Neumaier
- Forschungszentrum Jülich, Institute of Neuroscience and Medicine (INM-5), Wilhelm-Johnen-Strasse, Jülich, North Rhine-Westphalia 52428, Germany
| | - Andreas Bauer
- Forschungszentrum Jülich, Institute of Neuroscience and Medicine (INM-2), Wilhelm-Johnen-Strasse, Jülich, North Rhine-Westphalia 52428, Germany
| | - Hans-Peter Landolt
- University of Zurich, Institute of Pharmacology & Toxicology, Winterthurerstrasse 190, Zurich 8057, Switzerland and Sleep & Health Zurich, University Center of Competence, University of Zurich, Zurich, Switzerland
| | - Daniel Aeschbach
- German Aerospace Center, Institute of Aerospace Medicine, Linder Höhe, Cologne, North Rhine-Westphalia 51147, Germany; Harvard Medical School, Division of Sleep Medicine, Suite BL-438, 221 Longwood Avenue, Boston, Massachusetts 02115, United States of America; Rheinische Friedrich-Wilhelms-Universität Bonn, Institute of Experimental Epileptology and Cognition Research, University of Bonn Medical Center, Sigmund-Freud Str. 25, Bonn, North Rhine-Westphalia 53127, Germany
| | - David Elmenhorst
- Forschungszentrum Jülich, Institute of Neuroscience and Medicine (INM-2), Wilhelm-Johnen-Strasse, Jülich, North Rhine-Westphalia 52428, Germany; Rheinische Friedrich-Wilhelms-Universität Bonn, Division of Medical Psychology, Venusberg-Campus 1, Bonn, North Rhine-Westphalia 53127, Germany; University Hospital Cologne, Multimodal Neuroimaging Group, Department of Nuclear Medicine, Kerpener Strasse 62, Cologne, North Rhine-Westphalia 50937, Germany.
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Gervasio S, Zarei AA, Mrachacz-Kersting N. EEG signatures of low back and knee joint pain during movement execution: a short report. FRONTIERS IN REHABILITATION SCIENCES 2023; 4:1216069. [PMID: 37662545 PMCID: PMC10468999 DOI: 10.3389/fresc.2023.1216069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 07/10/2023] [Indexed: 09/05/2023]
Abstract
Chronic musculoskeletal pain has a high prevalence between European citizens, affecting their quality of life and their ability to work. The plastic changes associated with the occurrence of chronic musculoskeletal pain are still not fully understood. The current short report investigated the possible changes in brain activity caused by pain during movement in two of the most common musculoskeletal pain disorders in Denmark, knee pain and low back pain. Electroencephalography (EEG) was recorded from 20 participants (5 participants with knee pain, 5 with low back pain and 10 healthy controls). Participants with pain performed a movement that evoked pain in the area of interest, and the healthy controls performed the same movement. Electromyographic (EMG) signals were also collected to identify movement initiation. No differences were observed in brain activity of participants with pain and healthy controls during rest. During movement execution, though, participants with pain showed significantly higher event related synchronization in the alpha and beta bands compared to healthy controls. These changes could be related to higher cognitive processing, possibly due to the attempt of suppressing the pain. These results highlight the importance of assessing cortical activity during movement to reveal plastic changes due to musculoskeletal pain. This adds to our knowledge regarding plastic changes in cortical activity related to musculoskeletal pain in different locations. Such knowledge could help us identify neurophysiological markers for clinical changes and contribute to the development of new treatment approaches based on neuromodulation such as neurofeedback.
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Affiliation(s)
- Sabata Gervasio
- Neural Engineering and Neurophysiology Group, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Ali Asghar Zarei
- Neural Engineering and Neurophysiology Group, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
- REDO—Neurosystems, Aalborg, Denmark
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Pei L, Northoff G, Ouyang G. Comparative analysis of multifaceted neural effects associated with varying endogenous cognitive load. Commun Biol 2023; 6:795. [PMID: 37524883 PMCID: PMC10390511 DOI: 10.1038/s42003-023-05168-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 07/24/2023] [Indexed: 08/02/2023] Open
Abstract
Contemporary neuroscience has firmly established that mental state variation concurs with changes in neural dynamic activity in a complex way that a one-to-one mapping cannot describe. To explore the scenario of the multifaceted changes in neural dynamics associated with simple mental state variation, we took cognitive load - a common cognitive manipulation in psychology - as a venue to characterize how multiple neural dynamic features are simultaneously altered by the manipulation and how their sensitivity differs. Electroencephalogram was collected from 152 participants performing stimulus-free tasks with different demands. The results show that task demand alters wide-ranging neural dynamic features, including band-specific oscillations across broad frequency bands, scale-free dynamics, and cross-frequency phase-amplitude coupling. The scale-free dynamics outperformed others in indexing cognitive load variation. This study demonstrates a complex relationship between cognitive dynamics and neural dynamics, which points to a necessity to integrate multifaceted neural dynamic features when studying mind-brain relationship in the future.
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Affiliation(s)
- Leisi Pei
- Faculty of Education, The University of Hong Kong, Hong Kong, China
| | - Georg Northoff
- Institute of Mental Health Research, Mind, Brain Imaging and Neuroethics Research Unit, University of Ottawa, Ottawa, Canada
| | - Guang Ouyang
- Faculty of Education, The University of Hong Kong, Hong Kong, China.
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Gao J, Sun R, Leung HK, Roberts A, Wu BWY, Tsang EW, Tang ACW, Sik HH. Increased neurocardiological interplay after mindfulness meditation: a brain oscillation-based approach. Front Hum Neurosci 2023; 17:1008490. [PMID: 37405324 PMCID: PMC10315629 DOI: 10.3389/fnhum.2023.1008490] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 06/02/2023] [Indexed: 07/06/2023] Open
Abstract
Background Brain oscillations facilitate interaction within the brain network and between the brain and heart activities, and the alpha wave, as a prominent brain oscillation, plays a major role in these coherent activities. We hypothesize that mindfully breathing can make the brain and heart activities more coherent in terms of increased connectivity between the electroencephalogram (EEG) and electrocardiogram (ECG) signals. Methods Eleven participants (28-52 years) attended 8 weeks of Mindfulness Based Stress Reduction (MBSR) training. EEG and ECG data of two states of mindful breathing and rest, both eye-closed, were recorded before and after the training. EEGLAB was used to analyze the alpha band (8-12 Hz) power, alpha peak frequency (APF), peak power and coherence. FMRIB toolbox was used to extract the ECG data. Heart coherence (HC) and heartbeat evoked potential (HEP) were calculated for further correlation analysis. Results After 8 weeks of MBSR training, the correlation between APF and HC increased significantly in the middle frontal region and bilateral temporal regions. The correlation between alpha coherence and heart coherence had similar changes, while alpha peak power did not reflect such changes. In contrast, spectrum analysis alone did not show difference before and after MBSR training. Conclusion The brain works in rhythmic oscillation, and this rhythmic connection becomes more coherent with cardiac activity after 8 weeks of MBSR training. Individual APF is relatively stable and its interplay with cardiac activity may be a more sensitive index than power spectrum by monitoring the brain-heart connection. This preliminary study has important implications for the neuroscientific measurement of meditative practice.
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Affiliation(s)
- Junling Gao
- Buddhist Practices and Counselling Science Lab, Centre of Buddhist Studies, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Rui Sun
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
| | - Hang Kin Leung
- Buddhist Practices and Counselling Science Lab, Centre of Buddhist Studies, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Adam Roberts
- Singapore-ETH Centre, Future Resilient Systems Programme, Singapore, Singapore
| | - Bonnie Wai Yan Wu
- Buddhist Practices and Counselling Science Lab, Centre of Buddhist Studies, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Eric W. Tsang
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
| | - Andrew C. W. Tang
- Department of Psychology, HKU School of Professional and Continuing Education, Hong Kong, Hong Kong SAR, China
| | - Hin Hung Sik
- Buddhist Practices and Counselling Science Lab, Centre of Buddhist Studies, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
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Lopez KL, Monachino AD, Vincent KM, Peck FC, Gabard-Durnam LJ. Stability, change, and reliable individual differences in electroencephalography measures: a lifespan perspective on progress and opportunities. Neuroimage 2023; 275:120116. [PMID: 37169118 DOI: 10.1016/j.neuroimage.2023.120116] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/27/2023] [Accepted: 04/13/2023] [Indexed: 05/13/2023] Open
Abstract
Electroencephalographic (EEG) methods have great potential to serve both basic and clinical science approaches to understand individual differences in human neural function. Importantly, the psychometric properties of EEG data, such as internal consistency and test-retest reliability, constrain their ability to differentiate individuals successfully. Rapid and recent technological and computational advancements in EEG research make it timely to revisit the topic of psychometric reliability in the context of individual difference analyses. Moreover, pediatric and clinical samples provide some of the most salient and urgent opportunities to apply individual difference approaches, but the changes these populations experience over time also provide unique challenges from a psychometric perspective. Here we take a developmental neuroscience perspective to consider progress and new opportunities for parsing the reliability and stability of individual differences in EEG measurements across the lifespan. We first conceptually map the different profiles of measurement reliability expected for different types of individual difference analyses over the lifespan. Next, we summarize and evaluate the state of the field's empirical knowledge and need for testing measurement reliability, both internal consistency and test-retest reliability, across EEG measures of power, event-related potentials, nonlinearity, and functional connectivity across ages. Finally, we highlight how standardized pre-processing software for EEG denoising and empirical metrics of individual data quality may be used to further improve EEG-based individual differences research moving forward. We also include recommendations and resources throughout that individual researchers can implement to improve the utility and reproducibility of individual differences analyses with EEG across the lifespan.
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Affiliation(s)
- K L Lopez
- Northeastern University, 360 Huntington Ave, Boston, MA, United States
| | - A D Monachino
- Northeastern University, 360 Huntington Ave, Boston, MA, United States
| | - K M Vincent
- Northeastern University, 360 Huntington Ave, Boston, MA, United States
| | - F C Peck
- University of California, Los Angeles, Los Angeles, CA, United States
| | - L J Gabard-Durnam
- Northeastern University, 360 Huntington Ave, Boston, MA, United States.
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Optimizing Chronic Pain Treatment with Enhanced Neuroplastic Responsiveness: A Pilot Randomized Controlled Trial. Nutrients 2021; 13:nu13051556. [PMID: 34063083 PMCID: PMC8147927 DOI: 10.3390/nu13051556] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 04/23/2021] [Accepted: 04/30/2021] [Indexed: 02/07/2023] Open
Abstract
Chronic pain affects mental and physical health and alters brain structure and function. Interventions that reduce chronic pain are also associated with changes in the brain. A number of non-invasive strategies can promote improved learning and memory and increase neuroplasticity in older adults. Intermittent fasting and glucose administration represent two such strategies with the potential to optimize the neurobiological environment to increase responsiveness to recognized pain treatments. The purpose of the pilot study was to test the feasibility and acceptability of intermittent fasting and glucose administration paired with a recognized pain treatment activity, relaxation and guided imagery. A total of 32 adults (44% W, 56% M), 50 to 85 years of age, with chronic knee pain for three months or greater participated in the study. Four sessions were completed over an approximate two-week period. Findings indicate the ability to recruit, randomize, and retain participants in the protocol. The procedures and measures were reasonable and completed without incident. Participant adherence was high and exit interview feedback positive. In summary, the pilot study was feasible and acceptable, providing the evidence necessary to move forward with a larger clinical trial.
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