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Promoting Personalized Medicine through Yoga-Based Lifestyle. 通过以瑜伽为基础的生活方式促进个性化医疗。
IF 1.6 Q3 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2022-09-01 Epub Date: 2023-01-16 DOI: 10.4103/ijoy.ijoy_212_22
Nandi Krishnamurthy Manjunath
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.
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引用次数: 0
Yoga as an Adjunct Therapy for Musculoskeletal Pain and Burnout in Orthopedic Surgery: A Trainee's Perspective. 瑜伽作为骨科肌肉骨骼疼痛和倦怠的辅助疗法:学员的观点。
IF 1.6 Q3 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2022-09-01 Epub Date: 2023-01-16 DOI: 10.4103/ijoy.ijoy_129_22
Jeffrey Mark Brown, Mariah L Wellman

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.

整形外科医生在接受外科住院医师培训期间和整个职业生涯中都面临着巨大的身体和心理压力。除了职业固有的职业危害外,两个值得注意且可治疗的问题是肌肉骨骼疼痛和情绪倦怠,据报道,骨科住院患者的患病率分别高达97%和56%。肌肉骨骼疼痛和倦怠的管理对于促进外科医生的健康、教育和寿命,以及避免医疗错误和对患者护理的妥协至关重要。这份前瞻性的手稿描述了整形外科医生面临的职业挑战,并提倡将瑜伽作为管理肌肉骨骼疼痛和情绪倦怠的辅助疗法,此外,还介绍了在一个主要由男性组成的职业中,重新考虑围绕整形外科和瑜伽实践的性别观念的必要性。
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引用次数: 0
Smart Yoga Instructor for Guiding and Correcting Yoga Postures in Real Time. 实时指导和纠正瑜伽姿势的智能瑜伽教练。
IF 1.6 Q3 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2022-09-01 Epub Date: 2023-01-16 DOI: 10.4103/ijoy.ijoy_137_22
D Mohan Kishore, S Bindu, Nandi Krishnamurthy Manjunath

In recent days, Yoga is gaining more prominence and people all over the world have started to practice it. Performing Yoga with proper postures is beneficial. Hence, an instructor is required to monitor the correctness of Yoga postures. However, at times, it is difficult to have an instructor. This study aims to provide a system that will act as a personal Yoga instructor and practitioners can practice Yoga in their comfort zone. The device is interactive and provides audio guidance to perform different Yoga asanas. It makes the use of a camera to capture the picture of the person performing Yoga 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 Yoga 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, Ardha Chandrasana/Half-moon pose, Tadasana/Mountain pose, Trikonasana/Triangular pose, Veerabhadrasana/Warrior pose, and Vrikshasana/Tree pose.

最近几天,瑜伽越来越突出,全世界的人都开始练习瑜伽。正确的姿势练习瑜伽是有益的。因此,教练需要监督瑜伽姿势的正确性。然而,有时,很难有一个教练。这项研究旨在提供一个系统,作为个人瑜伽教练和练习者可以在他们的舒适区练习瑜伽。该设备是交互式的,并提供音频指导,以执行不同的瑜伽体式。它使用相机来捕捉在特定位置练习瑜伽的人的照片。将此捕捉到的姿势与基准姿势进行比较。预训练的深度学习模型用于使用标准数据集对不同瑜伽姿势进行分类。在比较的基础上,练习者的姿势将通过语音信息来纠正,使身体部位朝某个方向移动。由于该设备实时执行所有操作,因此它的快速响应时间只有几秒钟。目前,这项工作帮助练习者进行五种体式,即Ardha Chandrasana/半月式、Tadasana/山式、Trikonasana/三角式、Veerabhardasana/战士式和Vrikshasana/树式。
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引用次数: 0
Integrating Yoga Into Undergraduate American Medical Education. 将瑜伽融入美国医学本科教育。
IF 1.6 Q3 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2022-09-01 Epub Date: 2023-01-16 DOI: 10.4103/ijoy.ijoy_115_22
Sridevi R Pitta, Alexandra Reischman, Robert Zalenski

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 1st 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.

本科医学教育(UGME)是医生对患者及其职业态度形成的时期。对于未来的医生来说,这也是一个巨大压力的时期,包括高度的负面压力。这种压力可能是不适应的,可能会播下倦怠和长期不满的种子。我们相信,在医学院一年级引入瑜伽练习可以缓解医学本科生面临的负面压力。尽管美国和国际上有一些研究支持在UGME中使用瑜伽,但它们没有提供足够的数据来为在本科生课程中广泛实施瑜伽项目提供有力的理由。因此,我们希望倡导在本科医学课程中进行瑜伽整合的试验,将瑜伽古老的健康智慧与现代科学医学相结合。需要开展大型、前瞻性、多中心和多方法的试点项目,以确定瑜伽练习和理论项目如何应对最终在医学生中产生抑郁、焦虑和无效应对策略的UGME环境。医学本科生瑜伽课程值得认真考虑,在改善UGME的努力中占有突出地位。
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引用次数: 0
Functional Connectivity of Prefrontal Cortex in Various Meditation Techniques - A Mini-Review. 额前皮质在各种冥想技术中的功能连接——一个小综述。
IF 1.6 Q3 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2022-09-01 Epub Date: 2023-01-16 DOI: 10.4103/ijoy.ijoy_88_22
Mrithunjay Rathore, Meghnath Verma, Mohit Nirwan, Soumitra Trivedi, Vikram Pai

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.

冥想是一种专注和放松的练习。从哲学的角度来说,这是一个获得自我意识的过程。尽管冥想存在多样性(正念、同情、超越和集中注意力冥想),但干预措施表明,冥想练习可以改善前额叶皮层(PFC)的认知、自我意识、注意力和记忆等功能,并减少心理症状。这些结果被认为是由于冥想增加了大脑不同区域的功能连接。我们回顾了前额叶皮层在各种冥想练习中的功能连接。在对健康冥想者和非冥想者进行冥想技术期间,我们观察了与前额叶皮层和不同大脑区域相关的功能连接的各种神经成像干预。fMRI的研究结果表明,冥想练习与神经功能和处理、默认模式网络、灰质体积以及与PFC不同部位相关的大脑区域的功能耦合增加有关。PFC的功能连接与注意力、工作记忆、认知控制、执行控制、情绪调节、抵消不良影响有关,自我感知和自我同情。此外,PFC的功能连接减少了焦虑、抑郁、感知压力、负面情绪和过度兴奋症状。在这篇综述中,我们概述了冥想对前额叶皮层不同部位功能和结构的影响。我们认为冥想与前额叶皮层的功能连接之间存在正的理论相关性。前额叶连接的改变见于一些神经和心理社会疾病。因此,冥想也可以在治疗这些疾病方面发挥重要作用。
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引用次数: 0
Heartfulness Meditation Alters Electroencephalogram Oscillations: An Electroencephalogram Study. 用心冥想改变脑电图振荡:脑电图研究。
IF 1.6 Q3 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2022-09-01 Epub Date: 2023-01-16 DOI: 10.4103/ijoy.ijoy_138_22
Dwivedi Krishna, Krishna Prasanna, Basavaraj Angadi, Bikesh Kumar Singh, Shrivastava Anurag, Singh Deepeshwar

Background: 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.

Aim: 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.

Settings and design: The present study employed a cross-sectional design.

Methods: 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 t-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.

Results: The results showed higher state and trait mindfulness, P < 0.05 and P < 0.01, respectively, and lower state and trait anxiety, P < 0.05 and P < 0.05, respectively. The PSD outcomes showed higher theta (P < 0.001) and alpha (P < 0.01); lower beta (P < 0.001) and delta (P < 0.05) power in HM meditators compared to nonmeditators. Similarly, higher coherence was found in the theta (P < 0.01), alpha (P < 0.05), and beta (P < 0.01) bands in HM meditators.

Conclusions: These findings suggest that HM practice may result in wakeful relaxation and internalized attention that can influence cognition and behavior.

背景:正念冥想(HM)已被证明对认知和幸福感有积极影响,这使得研究这一现象背后的神经生理学机制变得很重要。目的:对HM冥想者和非冥想者进行了一项横断面研究,以评估大脑的额叶电活动以及自我报告的焦虑和正念。设置和设计:本研究采用了横断面设计。方法:招募了61名参与者,其中28名为正念冥想者(平均年龄男性:31.54±4.2岁,女性:30.04±7.1岁),33名为非冥想者(男性平均年龄25±8.5岁,女性平均年龄23.45±6.5岁)。脑电图(EEG)用于评估基线(5分钟)、冥想(10分钟)、传输(10分钟和传输后(5 min)期间的大脑活动。本研究还收集了自我报告的正念和焦虑。利用MATLAB对脑电功率谱密度(PSD)和相干性进行处理。使用特质正念和焦虑的独立样本t检验、状态正念和抑郁的重复测量方差分析(ANOVA)以及脑电图频谱频率和连贯性的双向多变量ANOVA进行统计分析。结果:结果显示,状态和特质正念较高,分别为P<0.05和P<0.01;状态和特质焦虑较低,分别为<0.05和P<0.05。PSD结果显示θ(P<0.001)和α(P<0.01)较高;与非编辑者相比,HM冥想者的β(P<0.001)和δ(P<0.05)功率更低。类似地,在HM冥想者的θ(P<0.01)、α(P<0.05)和β(P<0.01)带中发现了更高的一致性。结论:这些发现表明,HM练习可能会导致清醒的放松和内化的注意力,从而影响认知和行为。
{"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":"15 3","pages":"205-214"},"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}
引用次数: 0
Study of Emotion Regulation Based on Yogic Personality Using Implicit, Explicit, and Eye Tracking Techniques. 基于内隐、外显和眼动追踪技术的瑜伽人格情绪调节研究。
IF 1.6 Q3 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2022-05-01 Epub Date: 2022-09-05 DOI: 10.4103/ijoy.ijoy_36_22
R Senthil Kumar, John Britto, Judu Ilavarasu, S K Rajesh

Context: Emotion regulation (ER) is vital for well-being. Yogic personality traits, gunas, influence the expression of ER.

Aims: To investigate the expression of ER based on guna-related personality traits employing explicit, implicit, and objective eye-tracking techniques.

Settings and design: 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 sattva, 34 from rajas, and 36 from tamas were analyzed.

Methods: 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.

Statistical analysis used: One-way repeated-measures analysis of variance was used to examine differences between sattva, rajas, and tamas.

Results: Sattva group adopted a higher level of regulation strategy, ER-IAT scores were positive for sattva, negative for rajas and tamas. Mindfulness was highest and anxiety was least in sattva. In the eye tracker, within the non-emotional areas of interest (eAOI) regions of pleasant condition, and eAOI regions of unpleasant condition, sattva group had considerably higher dwell time. Pupil dilation was lowest in sattva for all the conditions, both within and outside eAOIs.

Conclusions: Sattva guna was found to foster healthy ER, and other psychological attributes. Conscious cultivation of sattva is needed for healthy emotional life.

背景:情绪调节(ER)对健康至关重要。瑜伽人格特征,gunas,影响ER的表达。目的:采用外显、内隐和客观眼动追踪技术研究基于guna相关人格特质的ER表达。设置和设计:采用配额抽样,采用三组横断面设计,分别为sattva、rajas和tamas。筛选了394名女学生,最后分析了30名来自萨特瓦,34名来自拉贾,36名来自塔玛斯。方法:采用状态和特质正念量表、Gita量表、社会期望量表、状态-特质焦虑量表、成人依恋量表和情绪调节问卷进行问卷调查。采用内隐联想测验(ER-IAT)和眼动仪对被试进行评价。使用的统计分析:采用单向重复测量方差分析来检验sattva、rajas和tamas之间的差异。结果:快感组采用了更高水平的调节策略,快感组ER-IAT得分为正,rajas和tamas得分为负。正念是最高的,焦虑是最低的。在眼动仪中,在愉悦状态下的非情绪性兴趣区(eAOI)区域和不愉悦状态下的eAOI区域,正性组的停留时间明显更长。在所有条件下,无论是在eaoi内还是在eaoi外,瞳孔扩张都是最低的。结论:萨特瓦古纳能培养健康的ER和其他心理属性。健康的情感生活需要有意识地培养正性。
{"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":"15 2","pages":"122-129"},"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}
引用次数: 0
Using Traditional Typologies to Understand Posture Movement and Cognitive Performance - A cross sectional study. 使用传统类型学来理解姿势运动和认知表现-一项横断面研究。
IF 1.6 Q3 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2022-05-01 Epub Date: 2022-09-05 DOI: 10.4103/ijoy.ijoy_12_22
Ankit Gupta, Rahul Garg, Varsha Singh

Context: 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.

Aims: The present study examined variations in cognitive and motor performances using the two typologies - prakriti and somato body types using cross-sectional study design.

Subjects and methods: The study employed fifty-eight healthy young adults, classified into prakriti (vata, pitta, kapha) and ecto-, meso-, endo-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.

Statistical analysis used: Analysis of covariance was performed to compare the cognitive and postural performance across the three somato and prakriti types after adjusting for age and gender as covariates. Post-hoc 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 P < 0.05 was selected at the statistical significance level. SPSS 26.0 version was used for the analysis.

Results: Cognitive performance was observed to vary in terms of RT across somato- and prakriti body types (P < 0.05). Postural stability and cognitive performance are positively connected only for ectomorph body types (P < 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 (P = 0.055) (P1).

Conclusions: 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.

背景:我们采用两种具有心理-躯体型分类特征的分类方法来理解运动和认知表现。主干指数产生了三种躯体类型/身体类型类别:外形态、中形态和内形态,而Prakriti分类将人分为三类:Vata、Pitta和Kapha。比较这两种分类方法提供了结合心理和身体特征来解释运动和认知行为的人体测量方法的见解。目的:本研究采用横断面研究设计,使用两种类型- prakriti和躯体类型来检查认知和运动表现的变化。研究对象和方法:研究了58名健康的年轻人,他们被分为prakriti (vata, pitta, kapha)和外、中、内形态身体类型,研究他们在站立瑜伽姿势中的认知表现(反应时间[RT]和准确性)和运动表现(姿势稳定性和姿势准确性)。使用的统计分析:在调整了年龄和性别作为协变量后,进行协方差分析来比较三种躯体和prakriti类型的认知和姿势表现。Bonferroni的事后分析考虑了Levene的检验。我们采用偏相关的方法来研究姿势稳定性与每一种prakriti和躯体-身体类型的认知表现测量之间的相关性,以及prakriti类型(得分)和躯干指数值之间的相关性(调整年龄和性别作为控制变量的影响)。在统计学显著水平上选择P < 0.05。采用SPSS 26.0版本进行分析。结果:观察到认知表现在躯体和非躯体类型的RT方面存在差异(P < 0.05)。体位稳定性与认知能力呈正相关(P < 0.05)。运动表现的变化不显著。除了生态型外,没有其他躯体和prakriti身体类型显示出姿势稳定性和认知表现之间的显著关系。同样,用于prakriti分类的特征与主干指数评分之间的关联仅对prakriti评估的一小部分物理特征具有边际显著性(P = 0.055) (P1)。结论:比较使用心理物理属性的分类可能有助于理解健康个体样本中运动和认知表现测量的变化。
{"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":"15 2","pages":"106-113"},"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}
引用次数: 0
Kundalini Yoga Intervention Increases Hippocampal Volume in Older Adults: A Pilot Randomized Controlled Trial. 昆达里尼瑜伽干预增加老年人海马体积:一项随机对照试验。
IF 1.6 Q3 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2022-05-01 Epub Date: 2022-09-05 DOI: 10.4103/ijoy.ijoy_25_22
Marim Ibrahim, Joseph Therriault, Vasavan P Nair, Elena Dikaios, Pedro Rosa-Neto, Ishan C Walpola, Soham Rej, Michael Lifshitz

Background: 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.

Aims: This pilot randomized-controlled trial (RCT) examined the potential neuroprotective effects of Kundalini yoga in older adults.

Methods: 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.

Results: We found significant right hippocampal volume increases specific to the Kundalini yoga group (P = 0.034, ηp 2 = 0.408).

Conclusions: These findings provide initial neurobiological support for the neuroprotective effects of Kundalini yoga.

背景:在快速老龄化的人口中,越来越需要神经保护干预来促进健康的神经老化。身心干预,如昆达里尼瑜伽,正被积极探索,作为鼓励健康衰老的可行手段。然而,人们对昆达里尼瑜伽的神经生物学效应知之甚少。目的:本先导随机对照试验(RCT)检验昆达里尼瑜伽对老年人潜在的神经保护作用。方法:我们对11名健康meditation-naïve老年人进行了随机对照试验。参与者被随机分配到昆达里尼瑜伽或心理教育干预组。在基线和12周随访时获得结构磁共振成像数据。主要结果测量是双侧海马和双侧后扣带皮层的灰质体积。结果:我们发现昆达里尼瑜伽组右侧海马体积显著增加(P = 0.034, ηp 2 = 0.408)。结论:这些发现为昆达里尼瑜伽的神经保护作用提供了初步的神经生物学支持。
{"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<sub>p</sub> <sup>2</sup> = 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":"15 2","pages":"158-162"},"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}
引用次数: 1
Classification of Rajayoga Meditators Based on the Duration of Practice Using Graph Theoretical Measures of Functional Connectivity from Task-Based Functional Magnetic Resonance Imaging. 使用基于任务的功能磁共振成像的功能连通性的图理论测量,基于练习持续时间的拉加瑜伽冥想者分类。
IF 1.6 Q3 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2022-05-01 Epub Date: 2022-09-05 DOI: 10.4103/ijoy.ijoy_17_22
Ashwini S Savanth, P A Vijaya, Ajay Kumar Nair, Bindu M Kutty
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.
背景:功能性磁共振成像(fMRI)对冥想等心理训练技术的研究报告了冥想的好处,比如提高注意力和注意力,更好的情绪调节,以及减少压力和焦虑。尽管有几项研究调查了不同冥想传统的长期冥想者和短期冥想者的功能激活和连通性,但目前尚不清楚长期冥想练习是否会在任务执行过程中持续带来大脑功能连通性网络特性的明显变化。事实上,针对冥想者的基于任务的功能连通性研究很少。目的:本研究旨在根据大脑感兴趣区域之间的功能连接来区分长期和短期的拉加瑜伽冥想者。当冥想者执行一项引人入胜的任务时,基于任务的fMRI被捕获。使用CONN工具箱计算基于图论的任务型fMRI功能连通性度量,并使用机器学习模型作为特征对两组进行分类。研究对象和方法:在本研究中,我们招募了两个年龄和性别匹配的Brahma Kumaris传统的Rajayoga冥想者,他们的冥想体验时间不同:长期实践者(n = 12,平均13,596小时)和短期实践者(n = 10,平均1095小时)。在他们执行一项专注的任务时获得fMRI数据,并根据这些数据计算功能连接指标。这些指标被用作训练机器学习算法的特征。具体来说,我们使用由图度量、全局效率和局部效率生成的邻接矩阵作为特征。我们计算了132个roi和32个网络roi的功能连通性。使用统计分析:训练逻辑回归、支持向量机、决策树、随机森林、梯度提升树等5种机器学习模型对两组进行分类。准确度、精密度、灵敏度、选择性、曲线下面积、接收机工作特性曲线作为性能指标。结果:图度量是有效的特征,决策树、随机森林和梯度增强树等基于树的算法在对两组冥想者进行分类时产生了最好的性能(测试准确率>84%,roi为132)。结论:我们的研究结果支持长期冥想练习即使在非冥想环境下也能改变大脑功能连接网络的假设。此外,从高维fMRI数据的图理论度量中使用邻接矩阵为机器学习分类器提供了一个有前途的特征集。
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International Journal of Yoga
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