International Journal of Yoga最新文献

{"title":"Promoting Personalized Medicine through Yoga-Based Lifestyle.","authors":"Nandi Krishnamurthy Manjunath","doi":"10.4103/ijoy.ijoy_212_22","DOIUrl":"10.4103/ijoy.ijoy_212_22","url":null,"abstract":"173 Personalized medicine is an emerging field of thought which considers therapeutic approaches based on individual characteristics to achieve precise clinical outcomes.[1] The modern medical system is driven and supported by the pharmaceutical approach, which aims at generalizing the results of clinical studies conducted on a population sample. However, attempts are being made to recognize individual biological differences to develop customized treatment protocols to achieve desired clinical outcomes and minimize probable failures.","PeriodicalId":14436,"journal":{"name":"International Journal of Yoga","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/b6/21/IJY-15-173.PMC10026334.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9219733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Yoga as an Adjunct Therapy for Musculoskeletal Pain and Burnout in Orthopedic Surgery: A Trainee's Perspective.","authors":"Jeffrey Mark Brown,&nbsp;Mariah L Wellman","doi":"10.4103/ijoy.ijoy_129_22","DOIUrl":"10.4103/ijoy.ijoy_129_22","url":null,"abstract":"<p><p>Orthopedic surgeons face significant physical and psychosocial stressors during their training as surgical residents and throughout their career. Aside from occupational hazards intrinsic to the profession, two notable and treatable concerns are musculoskeletal pain and emotional burnout, which have a reported prevalence as high as 97% and 56%, respectively, among orthopedic residents. Management of musculoskeletal pain and burnout is essential for promoting surgeon well being, education, and longevity as well as avoiding medical errors and compromises to patient care. This perspective manuscript describes the occupational challenges faced by orthopedic surgeons and promotes a habitual practice of yoga as an adjunct therapy for managing musculoskeletal pain and emotional burnout, and furthermore, introduces the need to reconsider gendered perceptions surrounding orthopedics and the practice of yoga in a profession largely comprised of men.</p>","PeriodicalId":14436,"journal":{"name":"International Journal of Yoga","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/ba/7e/IJY-15-250.PMC10026344.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9518614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smart <i>Yoga</i> Instructor for Guiding and Correcting <i>Yoga</i> Postures in Real Time.","authors":"D Mohan Kishore,&nbsp;S Bindu,&nbsp;Nandi Krishnamurthy Manjunath","doi":"10.4103/ijoy.ijoy_137_22","DOIUrl":"10.4103/ijoy.ijoy_137_22","url":null,"abstract":"<p><p>In recent days, <i>Yoga</i> is gaining more prominence and people all over the world have started to practice it. Performing <i>Yoga</i> with proper postures is beneficial. Hence, an instructor is required to monitor the correctness of <i>Yoga</i> postures. However, at times, it is difficult to have an instructor. This study aims to provide a system that will act as a personal <i>Yoga</i> instructor and practitioners can practice <i>Yoga</i> in their comfort zone. The device is interactive and provides audio guidance to perform different <i>Yoga</i> asanas. It makes the use of a camera to capture the picture of the person performing <i>Yoga</i> in a particular position. This captured pose is compared with the benchmark postures. A pretrained deep learning model is used for the classification of different <i>Yoga</i> postures using a standard dataset. Based on the comparison, the practitioner's posture will be corrected using a voice message to move the body parts in a certain direction. As the device performs all the operations in real-time, it has a quick response time of a few seconds. Currently, this work aids the practitioners in performing five Asanas, namely, <i>Ardha Chandrasana</i>/Half-moon pose, <i>Tadasana</i>/Mountain pose, <i>Trikonasana</i>/Triangular pose, <i>Veerabhadrasana</i>/Warrior pose, and <i>Vrikshasana</i>/Tree pose.</p>","PeriodicalId":14436,"journal":{"name":"International Journal of Yoga","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/f7/37/IJY-15-254.PMC10026338.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9166695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating Yoga Into Undergraduate American Medical Education.","authors":"Sridevi R Pitta,&nbsp;Alexandra Reischman,&nbsp;Robert Zalenski","doi":"10.4103/ijoy.ijoy_115_22","DOIUrl":"10.4103/ijoy.ijoy_115_22","url":null,"abstract":"<p><p>Undergraduate medical education (UGME) is the time when doctors' attitudes toward patients and their profession are formed. It is also a period of tremendous stress for future physicians, including high levels of negative stress. Such stress can be maladaptive and may sow the seeds of burnout and long-term dissatisfaction. We believe that the introduction of yoga practice in the 1^st year of medical school could ameliorate the negative stressors to which undergraduate medical students are exposed. Although there are some studies in the U.S. and internationally that support the use of Yoga in UGME, they do not provide sufficient data to make a compelling case for widespread implementation of yoga programs in undergraduate curricula. We, therefore, wish to advocate for conducting a trial of the integration of yoga in the undergraduate medical curriculum to combine yoga's ancient health wisdom into the context of modern scientific medicine. Large, prospective, multicenter, and multi-method pilot projects are needed to identify how a program of yoga practice and theory could counter the UGME environment that ultimately produces depression, anxiety, and non-effective coping strategies among medical students. A curriculum for yoga for undergraduate medical students deserves serious consideration and a prominent place among efforts to improve UGME.</p>","PeriodicalId":14436,"journal":{"name":"International Journal of Yoga","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/11/02/IJY-15-246.PMC10026339.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9166694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Heartfulness Meditation Alters Electroencephalogram Oscillations: An Electroencephalogram Study.","authors":"Dwivedi Krishna,&nbsp;Krishna Prasanna,&nbsp;Basavaraj Angadi,&nbsp;Bikesh Kumar Singh,&nbsp;Shrivastava Anurag,&nbsp;Singh Deepeshwar","doi":"10.4103/ijoy.ijoy_138_22","DOIUrl":"10.4103/ijoy.ijoy_138_22","url":null,"abstract":"<p><strong>Background: </strong>Heartfulness meditation (HM) has been shown to have positive impacts on cognition and well-being, which makes it important to look into the neurophysiological mechanisms underlying the phenomenon.</p><p><strong>Aim: </strong>A cross-sectional study was conducted on HM meditators and nonmeditators to assess frontal electrical activities of the brain and self-reported anxiety and mindfulness.</p><p><strong>Settings and design: </strong>The present study employed a cross-sectional design.</p><p><strong>Methods: </strong>Sixty-one participants were recruited, 28 heartfulness meditators (average age male: 31.54 ± 4.2 years and female: 30.04 ± 7.1 years) and 33 nonmeditators (average age male: 25 ± 8.5 years and female: 23.45 ± 6.5 years). An electroencephalogram (EEG) was employed to assess brain activity during baseline (5 min), meditation (10 min), transmission (10 min) and post (5 min). Self-reported mindfulness and anxiety were also collected in the present study. The EEG power spectral density (PSD) and coherence were processed using MATLAB. The statistical analysis was performed using an independent sample <i>t</i>-test for trait mindfulness and anxiety, repeated measures analysis of variance (ANOVA) for state mindfulness and anxiety, and Two-way multivariate ANOVA for EEG spectral frequency and coherence.</p><p><strong>Results: </strong>The results showed higher state and trait mindfulness, <i>P</i> < 0.05 and <i>P</i> < 0.01, respectively, and lower state and trait anxiety, <i>P</i> < 0.05 and <i>P</i> < 0.05, respectively. The PSD outcomes showed higher theta (<i>P</i> < 0.001) and alpha (<i>P</i> < 0.01); lower beta (<i>P</i> < 0.001) and delta (<i>P</i> < 0.05) power in HM meditators compared to nonmeditators. Similarly, higher coherence was found in the theta (<i>P</i> < 0.01), alpha (<i>P</i> < 0.05), and beta (<i>P</i> < 0.01) bands in HM meditators.</p><p><strong>Conclusions: </strong>These findings suggest that HM practice may result in wakeful relaxation and internalized attention that can influence cognition and behavior.</p>","PeriodicalId":14436,"journal":{"name":"International Journal of Yoga","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/0a/88/IJY-15-205.PMC10026341.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9219725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Functional Connectivity of Prefrontal Cortex in Various Meditation Techniques - A Mini-Review.","authors":"Mrithunjay Rathore,&nbsp;Meghnath Verma,&nbsp;Mohit Nirwan,&nbsp;Soumitra Trivedi,&nbsp;Vikram Pai","doi":"10.4103/ijoy.ijoy_88_22","DOIUrl":"10.4103/ijoy.ijoy_88_22","url":null,"abstract":"<p><p>Meditation is a practice of concentration and relaxation. In philosophical terms, it is a process of gaining self-consciousness. Although there is diversity in meditation (Mindfulness, compassion, transcendental, and focused attention meditation), interventions show that meditation practices improve prefrontal cortex (PFC) functions like cognition, self-awareness, attention, and memory and reduce psychological symptoms. These results are thought to be due to meditation increasing functional connections of different brain regions. We reviewed to show the functional connectivity of the prefrontal cortex in various meditation practices. We were viewed various neuroimaging interventions of functional connectivity associated with the prefrontal cortex and different brain areas during meditation techniques on healthy meditators compared with non-meditators. fMRI findings show that meditation practices are associated with increased neural function and processing, default mode network, gray matter volume, and functional coupling in the brain area related to different parts of PFC. PFC's functional connectivity is associated with increased attention, working memory, cognitive control, executive control, emotion regulation, counteracting adverse effects, self-perception, and self-compassion. Furthermore, PFC's functional connectivity decreases anxiety, depression, perceived stress, negative emotion, and hyperarousal symptoms. In this review, we outlined the published effect of meditation on the function and structure of the different parts of the prefrontal cortex. We suggest a positive theoretical correlation between meditation and the functional connectivity of the prefrontal cortex. Altered prefrontal connectivity is seen in some neurological and psychosocial disorders. Therefore meditation can also play an influential role in treating these disorders.</p>","PeriodicalId":14436,"journal":{"name":"International Journal of Yoga","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/b4/b9/IJY-15-187.PMC10026337.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9166697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study of Emotion Regulation Based on Yogic Personality Using Implicit, Explicit, and Eye Tracking Techniques.","authors":"R Senthil Kumar,&nbsp;John Britto,&nbsp;Judu Ilavarasu,&nbsp;S K Rajesh","doi":"10.4103/ijoy.ijoy_36_22","DOIUrl":"https://doi.org/10.4103/ijoy.ijoy_36_22","url":null,"abstract":"<p><strong>Context: </strong>Emotion regulation (ER) is vital for well-being. Yogic personality traits, <i>gunas</i>, influence the expression of ER.</p><p><strong>Aims: </strong>To investigate the expression of ER based on guna-related personality traits employing explicit, implicit, and objective eye-tracking techniques.</p><p><strong>Settings and design: </strong>Quota sampling was used, with a cross-sectional design with three groups, sattva, rajas, and tamas. Three hundred and ninety-four female students were screened and finally, 30 from <i>sattva</i>, 34 from <i>rajas</i>, and 36 from <i>tamas</i> were analyzed.</p><p><strong>Methods: </strong>Participants were given State and Trait Mindfulness Scales, Gita Inventory, Social Desirability Scale, state-trait anxiety inventory, Adult Attachment Scale, and Emotional Regulation Questionnaire. ER-Implicit Association Test (ER-IAT) and Eye Tracker were also used to evaluate the participants.</p><p><strong>Statistical analysis used: </strong>One-way repeated-measures analysis of variance was used to examine differences between <i>sattva</i>, <i>rajas</i>, and <i>tamas</i>.</p><p><strong>Results: </strong><i>Sattva</i> group adopted a higher level of regulation strategy, ER-IAT scores were positive for <i>sattva</i>, negative for rajas and tamas. Mindfulness was highest and anxiety was least in <i>sattva</i>. In the eye tracker, within the non-emotional areas of interest (eAOI) regions of pleasant condition, and eAOI regions of unpleasant condition, <i>sattva</i> group had considerably higher dwell time. Pupil dilation was lowest in sattva for all the conditions, both within and outside eAOIs.</p><p><strong>Conclusions: </strong>Sattva <i>guna</i> was found to foster healthy ER, and other psychological attributes. Conscious cultivation of sattva is needed for healthy emotional life.</p>","PeriodicalId":14436,"journal":{"name":"International Journal of Yoga","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/5a/53/IJY-15-122.PMC9623883.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40443248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using Traditional Typologies to Understand Posture Movement and Cognitive Performance - A cross sectional study.","authors":"Ankit Gupta,&nbsp;Rahul Garg,&nbsp;Varsha Singh","doi":"10.4103/ijoy.ijoy_12_22","DOIUrl":"https://doi.org/10.4103/ijoy.ijoy_12_22","url":null,"abstract":"<p><strong>Context: </strong>We employed two classification methods that characterize psycho-somatotype categorization to understand motor and cognitive performance. The Trunk Index produces three somatotypes/body type categories: ectomorphs, mesomorphs, and endomorphs, and Prakriti classifications categorizes people into three categories: Vata, Pitta, and Kapha. Comparing these two categorization methods offers insights into anthropometric measures that combine psychological and physical characteristics to account for motor and cognitive behavior.</p><p><strong>Aims: </strong>The present study examined variations in cognitive and motor performances using the two typologies - <i>prakriti</i> and somato body types using cross-sectional study design.</p><p><strong>Subjects and methods: </strong>The study employed fifty-eight healthy young adults, classified into <i>prakriti (vata</i>, <i>pitta</i>, <i>kapha</i>) and <i>ecto-</i>, <i>meso-</i>, <i>endo-</i>morph body types, to examine their cognitive performance (reaction time [RT] and accuracy), and motor performance (posture stability and posture accuracy) in standing yoga postures.</p><p><strong>Statistical analysis used: </strong>Analysis of covariance was performed to compare the cognitive and postural performance across the three somato and <i>prakriti</i> types after adjusting for age and gender as covariates. <i>Post-hoc</i> analysis of Bonferroni was performed with the consideration of Levene's test. Partial correlations were employed to investigate the correlation between postural stability and cognitive performance measures for each of the prakriti- and somato-body types as well as between the prakriti typology (scores) and trunk index values (adjusting the effects of age and gender as control variables). A <i>P</i> < 0.05 was selected at the statistical significance level. SPSS 26.0 version was used for the analysis.</p><p><strong>Results: </strong>Cognitive performance was observed to vary in terms of RT across somato- and prakriti body types (<i>P</i> < 0.05). Postural stability and cognitive performance are positively connected only for ectomorph body types (<i>P</i> < 0.05). Variations in motor performance were not significant. Barring ectomorph type, no other somato- and prakriti body types showed significant relationships between postural stability and cognitive performance. Likewise, the association between the features used for prakriti classification, and the trunk index scores showed marginal significance, only for a small subset of physical features of prakriti assessment (<i>P</i> = 0.055) (P1).</p><p><strong>Conclusions: </strong>Comparing classifications that use psychophysical attributes might offer insights into understanding variations in measures of motor and cognitive performance in a sample of healthy individuals.</p>","PeriodicalId":14436,"journal":{"name":"International Journal of Yoga","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/1f/ed/IJY-15-106.PMC9623887.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40446184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Kundalini Yoga Intervention Increases Hippocampal Volume in Older Adults: A Pilot Randomized Controlled Trial.","authors":"Marim Ibrahim,&nbsp;Joseph Therriault,&nbsp;Vasavan P Nair,&nbsp;Elena Dikaios,&nbsp;Pedro Rosa-Neto,&nbsp;Ishan C Walpola,&nbsp;Soham Rej,&nbsp;Michael Lifshitz","doi":"10.4103/ijoy.ijoy_25_22","DOIUrl":"https://doi.org/10.4103/ijoy.ijoy_25_22","url":null,"abstract":"<p><strong>Background: </strong>Among a rapidly aging population, there is increased need for neuroprotective interventions promoting healthy neurological aging. Mind-body interventions, such as Kundalini yoga, are actively being explored as accessible means to encourage healthy aging. However, little remains known about the neurobiological effects of Kundalini yoga.</p><p><strong>Aims: </strong>This pilot randomized-controlled trial (RCT) examined the potential neuroprotective effects of Kundalini yoga in older adults.</p><p><strong>Methods: </strong>We conducted an RCT with 11 healthy meditation-naïve older adults. Participants were randomized to a Kundalini yoga or psychoeducation intervention. Structural magnetic resonance imaging data were obtained at baseline and 12-week follow-up. The primary outcome measure was gray matter volume of the bilateral hippocampi and bilateral posterior cingulate cortex.</p><p><strong>Results: </strong>We found significant right hippocampal volume increases specific to the Kundalini yoga group (<i>P</i> = 0.034, η_p ² = 0.408).</p><p><strong>Conclusions: </strong>These findings provide initial neurobiological support for the neuroprotective effects of Kundalini yoga.</p>","PeriodicalId":14436,"journal":{"name":"International Journal of Yoga","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/36/99/IJY-15-158.PMC9623893.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40443252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Classification of Rajayoga Meditators Based on the Duration of Practice Using Graph Theoretical Measures of Functional Connectivity from Task-Based Functional Magnetic Resonance Imaging.","authors":"Ashwini S Savanth,&nbsp;P A Vijaya,&nbsp;Ajay Kumar Nair,&nbsp;Bindu M Kutty","doi":"10.4103/ijoy.ijoy_17_22","DOIUrl":"https://doi.org/10.4103/ijoy.ijoy_17_22","url":null,"abstract":"Context: Functional magnetic resonance imaging (fMRI) studies on mental training techniques such as meditation have reported benefits like increased attention and concentration, better emotional regulation, as well as reduced stress and anxiety. Although several studies have examined functional activation and connectivity in long-term as well as short-term meditators from different meditation traditions, it is unclear if long-term meditation practice brings about distinct changes in network properties of brain functional connectivity that persist during task performance. Indeed, task-based functional connectivity studies of meditators are rare. Aims: This study aimed to differentiate between long-term and short-term Rajayoga meditators based on functional connectivity between regions of interest in the brain. Task-based fMRI was captured as the meditators performed an engaging task. The graph theoretical-based functional connectivity measures of task-based fMRI were calculated using CONN toolbox and were used as features to classify the two groups using Machine Learning models. Subjects and Methods: In this study, we recruited two age and sex-matched groups of Rajayoga meditators from the Brahma Kumaris tradition that differed in the duration of their meditation experience: Long-term practitioners (n = 12, mean 13,596 h) and short-term practitioners (n = 10, mean 1095 h). fMRI data were acquired as they performed an engaging task and functional connectivity metrics were calculated from this data. These metrics were used as features in training machine learning algorithms. Specifically, we used adjacency matrices generated from graph measures, global efficiency, and local efficiency, as features. We computed functional connectivity with 132 ROIs as well as 32 network ROIs. Statistical Analysis Used: Five machine learning models, such as logistic regression, SVM, decision tree, random forest, and gradient boosted tree, were trained to classify the two groups. Accuracy, precision, sensitivity, selectivity, area under the curve receiver operating characteristics curve were used as performance measures. Results: The graph measures were effective features, and tree-based algorithms such as decision tree, random forest, and gradient boosted tree yielded the best performance (test accuracy >84% with 132 ROIs) in classifying the two groups of meditators. Conclusions: Our results support the hypothesis that long-term meditative practices alter brain functional connectivity networks even in nonmeditative contexts. Further, the use of adjacency matrices from graph theoretical measures of high-dimensional fMRI data yields a promising feature set for machine learning classifiers.","PeriodicalId":14436,"journal":{"name":"International Journal of Yoga","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/39/ab/IJY-15-96.PMC9623885.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40446186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}