1 656 162 EEG SIGNAL BASED CLASSIFICATION BEFORE AND AFTER COMBINED YOGA AND SUDARSHAN KRIYA. NOWADAYS, THE STYLE OF LIVING IS RESTLESS AND BUSY WHICH HAS RESULTED IN INCREASED STRESS AMONG MANY PEOPLE. STRESS CAUSES VARIOUS MENTAL AND HEALTH ILLNESS SUCH AS DEPRESSION, ANXIETY, MOOD DISORDERS, AND AGGRESSIVE BEHAVIOR. YOGA AND SUDARSHAN KRIYA (SK) MEDITATION ARE HEALTHY WAYS TO ERADICATE STRESS FROM PEOPLE'S LIVES. BASED ON THE PREVIOUS STUDY, IT HAS BEEN ANALYZED THAT SK PRACTICE HELPS TO ENHANCE RELAXATION, MANAGEMENT OF EMOTION, ALERTNESS, FOCUS, AND ANTIDEPRESSANT EFFECT. IN THIS PAPER, THE COMBINED IMPACT OF YOGA AND SK MEDITATION HAS BEEN ANALYZED ON BRAIN SIGNALS BY USING STATISTICAL PARAMETERS. TO THE BEST OF THE AUTHORS' KNOWLEDGE, NO SUCH STUDY HAS BEEN CONDUCTED IN THE PAST. IN THIS STUDY, THE PRE AND POST ELECTROENCEPHALOGRAM (EEG) SIGNALS WERE CAPTURED FROM THE CONTROL AND STUDY GROUP BEFORE AND AFTER THREE MONTHS REGULAR PRACTICE OF COMBINED YOGA AND SK. DISCRETE WAVELET TRANSFORM (DWT) HAS BEEN USED TO DECOMPOSE THE SIGNAL INTO 6 SUB-BANDS (0-4, 4-8, 8-16, 16-32, 32-64, 64-128) HERTZ (HZ) BY USING DB4 WAVELET FOR ANALYSIS, STATISTICAL FEATURES SUCH AS VARIANCE, STANDARD DEVIATION, KURTOSIS, ZERO CROSSING, MAXIMUM AND MINIMUM HAVE BEEN CALCULATED FROM EACH SUB-BAND. THE OBTAINED PARAMETERS HAVE BEEN VALIDATED BY USING KRUSKAL-WALLIS STATISTICAL TEST. FURTHER, ARTIFICIAL NEURAL NETWORK (ANN) HAS BEEN APPLIED ON AFOREMENTIONED STATISTICAL PARAMETERS TO CLASSIFY SUBJECTS AS MEDITATORS AND NON-MEDITATORS. THE EXPERIMENTAL RESULTS INDICATED THAT THE PROPOSED METHOD ACHIEVED 87.2% ACCURACY FOR CLASSIFICATION AND COULD BE FURTHER EXTENDED TO CONSTRUCT AN ACCURATE CLASSIFICATION SYSTEM FOR DETECTION OF MEDITATORS AND NON-MEDITATORS. THIS STUDY FORMS A SCIENTIFIC FOUNDATION TO ENCOURAGE THE USE OF MEDITATION IN CLINICAL PRACTICES. 2019 2 303 68 AN EMPIRICAL COMPARISON OF MACHINE LEARNING ALGORITHMS FOR THE CLASSIFICATION OF BRAIN SIGNALS TO ASSESS THE IMPACT OF COMBINED YOGA AND SUDARSHAN KRIYA. TODAY'S FAST PACED LIFE REPORTS SO MUCH STRESS AMONG PEOPLE THAT IT MAY LEAD TO VARIOUS PSYCHOLOGICAL AND PHYSICAL ILLNESSES. YOGA AND MEDITATION ARE THE BEST STRATEGIES TO REDUCE THE EFFECT OF STRESS ON PHYSICAL AND MENTAL LEVEL WITHOUT ANY SIDE-EFFECTS. IN THIS STUDY, COMBINED YOGA AND SUDARSHAN KRIYA (SK) HAS BEEN USED AS AN ALTERNATIVE AND COMPLEMENTARY THERAPY FOR THE MANAGEMENT OF STRESS. THE AIM OF THE STUDY IS TO FIND A METHOD TO CLASSIFY THE MEDITATOR AND NON-MEDITATOR STATES WITH THE BEST ACCURACY. THE 50 SUBJECTS HAVE BEEN PARTICIPATING IN THIS STUDY AND DIVIDED INTO TWO GROUPS, I.E. STUDY AND CONTROL GROUP. THE SUBJECTS WITH REGULAR PRACTICE OF YOGA AND SK ARE KNOWN AS MEDITATORS AND THE ONES WITHOUT ANY PRACTICE OF YOGA AND MEDITATION WERE KNOWN AS NON-MEDITATORS. ELECTROENCEPHALOGRAM (EEG) SIGNALS WERE ACQUIRED FROM THESE BOTH GROUPS BEFORE AND AFTER 3 MONTHS. THE STATISTICAL PARAMETERS WERE COMPUTED FROM THESE ACQUIRED EEG SIGNALS USING DISCRETE WAVELET TRANSFORM (DWT). THESE EXTRACTED STATISTICAL PARAMETERS WERE GIVEN AS INPUT TO THE CLASSIFIERS. THE DECISION TREE, DISCRIMINANT ANALYSIS, LOGISTIC REGRESSION, SUPPORT VECTOR MACHINE (SVM), WEIGHTED K- NEAREST NEIGHBOUR (KNN) AND ENSEMBLE CLASSIFIERS WERE USED FOR CLASSIFICATION OF MEDITATOR AND NON- MEDITATOR STATES FROM THE ACQUIRED EEG SIGNALS. THE RESULTS HAVE DEMONSTRATED THAT THE SVM METHOD GIVES THE HIGHEST CLASSIFICATION ACCURACY AS COMPARED TO OTHER CLASSIFIERS. THE PROPOSED METHOD CAN BE USED AS A DIAGNOSIS SYSTEM IN CLINICAL PRACTICES. 2022 3 693 33 EFFECT OF CONTROLLED BREATHING EXERCISES ON THE PSYCHOLOGICAL STATUS AND THE CARDIAC AUTONOMIC TONE: SUDARSHAN KRIYA AND PRANA-YOGA. OBJECTIVE: THE OBJECTIVE OF THE STUDY WAS TO OBSERVE THE EFFECT OF CONTROLLED BREATHING EXERCISES INCLUDING SUDARSHAN KRIYA (SK) AND PRANA-YOGA (PY) ON THE PSYCHO-PHYSIOLOGICAL STATUS. METHODS: THE STUDY GROUP INCLUDED 60 HEALTHY VOLUNTEERS (M:30, F:30) IN THE AGE GROUP OF 18 TO 30 YEARS (21.3 +/- 3.2 YRS), RANDOMLY DIVIDED IN TO THREE GROUPS OF 20 SUBJECTS EACH--(1) THE SK GROUP (2) THE PY GROUP AND THE (3) CONTROL GROUP. THE PSYCHO-PHYSIOLOGICAL DATA WAS COLLECTED AT THE FOLLOWING FOUR TIME INTERVENTIONS: BASELINE, 6TH, 60TH AND THE 150TH DAY. PSYCHOLOGICAL ASSESSMENT WAS DONE USING QUESTIONNAIRES AND FOR THE AUTONOMIC TONE QUANTIFICATION HEART RATE VARIABILITY (HRV) ANALYSIS WAS DONE USING THE STANDARD LEAD II ELECTROCARDIOGRAM RECORDINGS. IN A POST-HOC ANALYSIS EACH GROUP WAS FURTHER SUB DIVIDED IN TO THE FOLLOWING TWO PATTERNS, BASED ON THE BASELINE VALUES OF NORMALIZED LOW FREQUENCY (LF) POWER (CUTOFF 64 MS2): (I) PATTERN A-SUBJECTS WITH LOW LEVEL LF POWER, AND (II) PATTERN B- SUBJECTS WITH HIGH LEVEL LF POWER. RESULTS: THE STRESS MANAGEMENT SKILLS HAVE SHOWN SIGNIFICANT INCREASE IN SK GROUP BUT NOT IN PY AND CONTROL GROUP. SUBJECTS OF SK, PY, AND CONTROL GROUP SHOWED SIGNIFICANT INCREASE IN LF VALUE AND LF:HF RATIO FOR PATTERN A AND SIGNIFICANT DECREASE FOR PATTERN B. PLOTTED LF VALUE FOR PATTERN A & B IN SK AND PY PRACTITIONERS SHOWED CONVERGENCE, COMING TO A MEAN VALUE OVER THE PERIOD OF 150 DAYS. THE LF:HF RATIO CURVE PLOTTED OVER TIME FOR PATTERN A & B SHOWED CONVERGENCE IN SK GROUP ONLY. NO SUCH CONVERGENCE IN LF VALUE & LF/HF RATIO FOR PATTERN A & B WAS SEEN IN CONTROL GROUP. CONCLUSION: IN CONCLUSION, SUDARSHAN KRIYA POSITIVELY MODIFIES STRESS COPING BEHAVIOR AND INITIATES APPROPRIATE BALANCE IN CARDIAC AUTONOMIC TONE. 2014 4 1208 42 EXPLORATION OF LOWER FREQUENCY EEG DYNAMICS AND CORTICAL ALPHA ASYMMETRY IN LONG-TERM RAJYOGA MEDITATORS. BACKGROUND: RAJYOGA MEDITATION IS TAUGHT BY PRAJAPITA BRAHMAKUMARIS WORLD SPIRITUAL UNIVERSITY (BRAHMAKUMARIS) AND HAS BEEN FOLLOWED BY MORE THAN ONE MILLION FOLLOWERS ACROSS THE GLOBE. HOWEVER, RARE STUDIES WERE CONDUCTED ON PHYSIOLOGICAL ASPECTS OF RAJYOGA MEDITATION USING ELECTROENCEPHALOGRAPHY (EEG). BAND POWER AND CORTICAL ASYMMETRY WERE NOT STUDIED WITH RAJYOGA MEDITATORS. AIMS: THIS STUDY AIMS TO INVESTIGATE THE EFFECT OF REGULAR MEDITATION PRACTICE ON EEG BRAIN DYNAMICS IN LOW-FREQUENCY BANDS OF LONG-TERM RAJYOGA MEDITATORS. SETTINGS AND DESIGN: SUBJECTS WERE MATCHED FOR AGE IN BOTH GROUPS. LOWER FREQUENCY EEG BANDS WERE ANALYZED IN RESTING AND DURING MEDITATION. MATERIALS AND METHODS: TWENTY-ONE MALE LONG-TERM MEDITATORS (LTMS) AND SAME NUMBER OF CONTROLS WERE SELECTED TO PARTICIPATE IN STUDY AS PAR INCLUSION CRITERIA. SEMI HIGH-DENSITY EEG WAS RECORDED BEFORE AND DURING MEDITATION IN LTM GROUP AND RESTING IN CONTROL GROUP. THE MAIN OUTCOME OF THE STUDY WAS SPECTRAL POWER OF ALPHA AND THETA BANDS AND CORTICAL (HEMISPHERICAL) ASYMMETRY CALCULATED USING BAND POWER. STATISTICAL ANALYSIS: ONE-WAY ANOVA WAS PERFORMED TO FIND THE SIGNIFICANT DIFFERENCE BETWEEN EEG SPECTRAL PROPERTIES OF GROUPS. PEARSON'S CHI-SQUARE TEST WAS USED TO FIND DIFFERENCE AMONG DEMOGRAPHICS DATA. RESULTS: RESULTS REVEAL HIGH-BAND POWER IN ALPHA AND THETA SPECTRA IN MEDITATORS. CORTICAL ASYMMETRY CALCULATED THROUGH EEG POWER WAS ALSO FOUND TO BE HIGH IN FRONTAL AS WELL AS PARIETAL CHANNELS. HOWEVER, NO CORRELATION WAS SEEN BETWEEN THE EXPERIENCE OF MEDITATION (YEARS, HOURS) PRACTICE AND EEG INDICES. CONCLUSION: OVERALL FINDINGS INDICATE CONTRIBUTION OF SMALLER FREQUENCIES (ALPHA AND THETA) WHILE MAINTAINING MEDITATIVE EXPERIENCE. THIS SUGGESTS A POSITIVE IMPACT OF MEDITATION ON FRONTAL AND PARIETAL AREAS OF BRAIN, INVOLVED IN THE PROCESSES OF REGULATION OF SELECTIVE AND SUSTAINED ATTENTION AS WELL AS PROVIDE EVIDENCE ABOUT THEIR INVOLVEMENT IN EMOTION AND COGNITIVE PROCESSING. 2018 5 1836 23 PSYCHOPHYSIOLOGICAL CORRELATES OF THE PRACTICE OF TANTRIC YOGA MEDITATION. AUTONOMIC AND ELECTROENCEPHALOGRAPHIC (EEG) CORRELATES OF TANTRIC YOGA MEDITATION WERE STUDIED IN THREE GROUPS OF SUBJECTS AS THEY PROGRESSED FROM NORMAL CONSCIOUSNESS INTO MEDITATION. GROUPS DIFFERED IN THEIR LEVEL OF MEDITATION PROFICIENCY. MEASURES OF SKIN RESISTANCE, HEART RATE, RESPIRATION, AUTONOMIC ORIENTING RESPONSES, RESTING EEG, EEG ALPHA AND THETA FREQUENCIES, SLEEP-SCORED EEG, AVERAGED EVOKED RESPONSES, AND SUBJECTIVE EXPERIENCE WERE EMPLOYED. UNLIKE MOST PREVIOUSLY REPORTED MEDITATION STUDIES, PROFICIENT MEDITATORS DEMONSTRATED INCREASED AUTONOMIC ACTIVATION DURING MEDITATION WHILE UNEXPERIENCED MEDITATORS DEMONSTRATED AUTONOMIC RELAXATION. DURING MEDITATION, PROFICIENT MEDITATORS DEMONSTRATED INCREASED ALPHA AND THETA POWER, MINIMAL EVIDENCE OF EEG-DEFINED SLEEP, AND DECREASED AUTONOMIC ORIENTING TO EXTERNAL STIMULATION. AN EPISODE OF SUDDEN AUTONOMIC ACTIVATION WAS OBSERVED THAT WAS CHARACTERIZED BY THE MEDITATOR AS AN APPROACH TO THE YOGIC ECSTATIC STATE OF INTENSE CONCENTRATION. THESE FINDINGS CHALLENGE THE CURRENT "RELAXATION" MODEL OF MEDITATIVE STATES. 1978 6 654 46 EEG BASED INTERPRETATION OF HUMAN BRAIN ACTIVITY DURING YOGA AND MEDITATION USING MACHINE LEARNING: A SYSTEMATIC REVIEW. OBJECTIVES: THE PRESENT INVESTIGATION IS TO STUDY THE IMPACT OF YOGA AND MEDITATION ON BRAIN WAVES CONCERNING PHYSICAL AND MENTAL HEALTH. THERE ARE MAINLY THREE STAGES (STEPS) IN THE BRAIN WAVE CLASSIFICATION:(I) PREPROCESSING, II) FEATURE EXTRACTION, AND III) CLASSIFICATION. THIS WORK PROVIDES A REVIEW OF INTERPRETATION METHODS OF BRAIN SIGNALS (ELECTROENCEPHALOGRAM (EEG)) EEG DURING YOGA AND MEDITATION. PAST RESEARCH HAS REVEALED SIGNIFICANT MENTAL AND PHYSICAL ADVANTAGES WITH YOGA AND MEDITATION. METHODS: THE RESEARCH TOPIC REVIEWED FOCUSED ON THE MACHINE LEARNING STRATEGIES APPLIED FOR THE INTERPRETATION OF BRAIN WAVES. IN ADDRESSING THE RESEARCH QUESTIONS HIGHLIGHTED EARLIER IN THE GENERAL INTRODUCTION, WE CONDUCTED A SYSTEMATIC SEARCH OF ARTICLES FROM TARGETED SCIENTIFIC AND JOURNAL ONLINE DATABASES THAT INCLUDED PUBMED, WEB OF SCIENCE, IEEE XPLORE DIGITAL LIBRARY (IEEE), AND ARXIV DATABASES BASED ON THEIR RELEVANCE TO THE RESEARCH QUESTIONS AND DOMAIN TOPIC. THE SURVEY TOPIC IS RELATIVELY NASCENT, AND THEREFORE, THE SCOPE OF THE SEARCH PERIOD WAS LIMITED TO THE 20-YEAR TIMELINE THAT WAS DEEMED REPRESENTATIVE OF THE RESEARCH TOPIC UNDER INVESTIGATION. THE LITERATURE SEARCH WAS BASED ON THE KEYWORDS "EEG", "YOGA*" AND "MEDITATION*". THE KEY PHRASES WERE CONCATENATED USING BOOLEAN EXPRESSIONS AND APPLIED TO SEARCH THROUGH THE SELECTED ONLINE DATABASES YIELDING A TOTAL OF 120 ARTICLES. THE ONLINE DATABASES WERE SELECTED BASED ON THE RELEVANCY OF CONTENT WITH THE RESEARCH TITLE, RESEARCH QUESTIONS, AND THE DOMAIN APPLICATION. THE LITERATURE REVIEW SEARCH, PROCESS, AND CLASSIFICATION WERE CAREFULLY CONDUCTED GUIDED BY TWO DEFINED MEASURES; 1.) INCLUSION CRITERIA; AND 2.) EXCLUSION CRITERIA. THESE MEASURES DEFINE THE CRITERIA FOR SEARCHING AND EXTRACTING RELEVANT ARTICLES RELATING TO THE RESEARCH TITLE AND DOMAIN OF INTEREST. RESULTS: OUR LITERATURE SEARCH AND REVIEW INDICATE A BROAD SPECTRUM OF NEURAL MECHANICS UNDER A VARIETY OF MEDITATION STYLES HAVE BEEN INVESTIGATED. A DETAILED ANALYSIS OF VARIOUS MENTAL STATES USING ZEN, CHAN, MINDFULNESS, TM, RAJAYOGA, KUNDALINI, YOGA, AND OTHER MEDITATION STYLES HAVE BEEN DESCRIBED BY MEANS OF EEG BANDS. CLASSIFICATION OF MENTAL STATES USING KNN, SVM, RANDOM FOREST, FUZZY LOGIC, NEURAL NETWORKS, CONVOLUTIONAL NEURAL NETWORKS HAS BEEN DESCRIBED. SUPERIOR RESEARCH IS STILL REQUIRED TO CLASSIFY THE EEG SIGNATURES CORRESPONDING TO DIFFERENT MENTAL STATES. CONCLUSIONS: YOGA PRACTICE MAY BE AN EFFECTIVE ADJUNCTIVE TREATMENT FOR A CLINICAL AND AGING POPULATION. ADVANCED RESEARCH CAN EXAMINE THE EFFECTS OF SPECIFIC BRANCHES OF YOGA ON A DESIGNATED CLINICAL GROUPING. YOGA AND MEDITATION INCREASED OVERALL HEALTHY BRAIN ACTIVITY. 2021 7 1605 43 MENTAL STRESS: NEUROPHYSIOLOGY AND ITS REGULATION BY SUDARSHAN KRIYA YOGA. AIM: THE PRESENT STUDY FOCUSES ON ANALYZING THE EFFECTS OF SUDARSHAN KRIYA YOGA (SKY) ON EEG AS WELL AS ECG SIGNALS FOR STRESS REGULATION. TO ENVISION THE REGULATION OF STRESS DETERMINATION TEST (DT) HAS BEEN USED. WE HAVE CHOSEN A CONTROL GROUP FOR CONTRIVING A COGENT COMPARISON THAT COULD BE CORROBORATED USING STATISTICAL TESTS. SUBJECTS AND METHODS: A TOTAL OF 20 SUBJECTS WERE TAKEN IN THE STUDY, OF WHICH 10 WERE ALLOTTED TO A CONTROL GROUP. ELECTROENCEPHALOGRAPH WAS TAKEN DURING A DT TASK, BEFORE AND AFTER SKY THE SKY SESSION WITH 30 DAYS OF SKY SESSION GIVEN TO THE EXPERIMENTAL GROUP. NO SKY WAS GIVEN TO THE CONTROL GROUP. RESULTS: WE QUANTIFIED MENTAL STRESS USING EEG, ECG AND DT SYNERGISTICALLY AND USED SKY TO REGULATE IT. WE OBSERVED THAT ALPHA BAND POWER DECREASES IN THE FRONTAL LOBE OF THE BRAIN WITH INCREASING MENTAL STRESS WHILE FRONTAL BRAIN ASYMMETRY DECREASES WITH INCREASING STRESS TOLERANCE. CONCLUSIONS: THESE EEG, ECG AND DT SHOWS A SIGNIFICANT DECREMENT IN MENTAL STRESS AND IMPROVEMENT IN COGNITIVE PERFORMANCE AFTER SKY, INDICATING SKY AS A GOOD ALTERNATIVE OF MEDICATION FOR STRESS MANAGEMENT. 2017 8 1987 31 SPATIAL-TEMPORAL GRAPH CONVOLUTIONAL FRAMEWORK FOR YOGA ACTION RECOGNITION AND GRADING. THE RAPID DEVELOPMENT OF THE INTERNET HAS CHANGED OUR LIVES. MANY PEOPLE GRADUALLY LIKE ONLINE VIDEO YOGA TEACHING. HOWEVER, YOGA BEGINNERS CANNOT MASTER THE STANDARD YOGA POSES JUST BY LEARNING THROUGH VIDEOS, AND HIGH YOGA POSES CAN BRING GREAT DAMAGE OR EVEN DISABILITY TO THE BODY IF THEY ARE NOT STANDARD. TO ADDRESS THIS PROBLEM, WE PROPOSE A YOGA ACTION RECOGNITION AND GRADING SYSTEM BASED ON SPATIAL-TEMPORAL GRAPH CONVOLUTIONAL NEURAL NETWORK. FIRSTLY, WE CAPTURE YOGA MOVEMENT DATA USING A DEPTH CAMERA. THEN WE LABEL THE YOGA EXERCISE VIDEOS FRAME BY FRAME USING LONG SHORT-TERM MEMORY NETWORK; THEN WE EXTRACT THE SKELETAL JOINT POINT FEATURES SEQUENTIALLY USING GRAPH CONVOLUTION; THEN WE ARRANGE EACH VIDEO FRAME FROM SPATIAL-TEMPORAL DIMENSION AND CORRELATE THE JOINT POINTS IN EACH FRAME AND NEIGHBORING FRAMES WITH SPATIAL-TEMPORAL INFORMATION TO OBTAIN THE CONNECTION BETWEEN JOINTS. FINALLY, THE IDENTIFIED YOGA MOVEMENTS ARE PREDICTED AND GRADED. EXPERIMENT PROVES THAT OUR METHOD CAN ACCURATELY IDENTIFY AND CLASSIFY YOGA POSES; IT ALSO CAN IDENTIFY WHETHER YOGA POSES ARE STANDARD OR NOT AND GIVE FEEDBACK TO YOGIS IN TIME TO PREVENT BODY DAMAGE CAUSED BY NONSTANDARD POSES. 2022 9 2738 43 YOGA POSTURE RECOGNITION AND QUANTITATIVE EVALUATION WITH WEARABLE SENSORS BASED ON TWO-STAGE CLASSIFIER AND PRIOR BAYESIAN NETWORK. CURRENTLY, WITH THE SATISFACTION OF PEOPLE'S MATERIAL LIFE, SPORTS, LIKE YOGA AND TAI CHI, HAVE BECOME ESSENTIAL ACTIVITIES IN PEOPLE'S DAILY LIFE. FOR MOST YOGA AMATEURS, THEY COULD ONLY LEARN YOGA BY SELF-STUDY, LIKE MECHANICALLY IMITATING FROM YOGA VIDEO. THEY COULD NOT KNOW WHETHER THEY PERFORMED STANDARDLY WITHOUT FEEDBACK AND GUIDANCE. IN THIS PAPER, WE PROPOSED A FULL-BODY POSTURE MODELING AND QUANTITATIVE EVALUATION METHOD TO RECOGNIZE AND EVALUATE YOGA POSTURES TO PROVIDE GUIDANCE TO THE LEARNER. BACK PROPAGATION ARTIFICIAL NEURAL NETWORK (BP-ANN) WAS ADOPTED AS THE FIRST CLASSIFIER TO DIVIDE YOGA POSTURES INTO DIFFERENT CATEGORIES, AND FUZZY C-MEANS (FCM) WAS UTILIZED AS THE SECOND CLASSIFIER TO CLASSIFY THE POSTURES IN A CATEGORY. THE POSTURE DATA ON EACH BODY PART WAS REGARDED AS A MULTIDIMENSIONAL GAUSSIAN VARIABLE TO BUILD A BAYESIAN NETWORK. THE CONDITIONAL PROBABILITY OF THE GAUSSIAN VARIABLE CORRESPONDING TO EACH BODY PART RELATIVE TO THE GAUSSIAN VARIABLE CORRESPONDING TO THE CONNECTED BODY PART WAS USED AS CRITERION TO QUANTITATIVELY EVALUATE THE STANDARD DEGREE OF BODY PARTS. THE ANGULAR DIFFERENCES BETWEEN NONSTANDARD PARTS AND THE STANDARD MODEL COULD BE CALCULATED TO PROVIDE GUIDANCE WITH AN EASILY-ACCEPTED LANGUAGE, SUCH AS "LIFT UP YOUR LEFT ARM", "STRAIGHTEN YOUR RIGHT FOREARM". TO EVALUATE OUR METHOD, A WEARABLE DEVICE WITH 11 INERTIAL MEASUREMENT UNITS (IMUS) FIXED ONTO THE BODY WAS DESIGNED TO MEASURE YOGA POSTURE DATA WITH QUATERNION FORMAT, AND THE POSTURE DATABASE WITH A TOTAL OF 211,643 DATA FRAMES AND 1831 POSTURE INSTANCES WAS COLLECTED FROM 11 SUBJECTS. BOTH THE POSTURE RECOGNITION TEST AND EVALUATION TEST WERE CONDUCTED. IN THE RECOGNITION TEST, 30% DATA WAS RANDOMLY PICKED FROM THE DATABASE TO TRAIN BP-ANN AND FCM CLASSIFIERS, AND THE RECOGNITION ACCURACY OF THE REMAINING 70% DATA WAS 95.39%, WHICH IS HIGHLY COMPETITIVE WITH PREVIOUS POSTURE RECOGNITION APPROACHES. IN THE EVALUATION TEST, 30% DATA WERE PICKED RANDOMLY FROM SUBJECT THREE, SUBJECT FOUR, AND SUBJECT SIX, TO TRAIN THE BAYESIAN NETWORK. THE PROBABILITIES OF NONSTANDARD PARTS WERE ALMOST ALL SMALLER THAN 0.3, WHILE THE PROBABILITIES OF STANDARD PARTS WERE ALMOST ALL GREATER THAN 0.5, AND THUS THE NONSTANDARD PARTS OF BODY POSTURE COULD BE EFFECTIVELY SEPARATED AND PICKED FOR GUIDANCE. WE ALSO TESTED SEPARATELY THE TRAINERS' YOGA POSTURE PERFORMANCE IN THE CONDITION OF WITHOUT AND WITH GUIDANCE PROVIDED BY OUR PROPOSED METHOD. THE RESULTS SHOWED THAT WITH GUIDANCE, THE JOINT ANGLE ERRORS SIGNIFICANTLY DECREASED. 2019 10 1666 38 NEURAL NETWORK-ORIENTED BIG DATA MODEL FOR YOGA MOVEMENT RECOGNITION. THE USE OF COMPUTER VISION FOR TARGET DETECTION AND RECOGNITION HAS BEEN AN INTERESTING AND CHALLENGING AREA OF RESEARCH FOR THE PAST THREE DECADES. PROFESSIONAL ATHLETES AND SPORTS ENTHUSIASTS IN GENERAL CAN BE TRAINED WITH APPROPRIATE SYSTEMS FOR CORRECTIVE TRAINING AND ASSISTIVE TRAINING. SUCH A NEED HAS MOTIVATED RESEARCHERS TO COMBINE ARTIFICIAL INTELLIGENCE WITH THE FIELD OF SPORTS TO CONDUCT RESEARCH. IN THIS PAPER, WE PROPOSE A MASK REGION-CONVOLUTIONAL NEURAL NETWORK (MR-CNN)- BASED METHOD FOR YOGA MOVEMENT RECOGNITION BASED ON THE IMAGE TASK OF YOGA MOVEMENT RECOGNITION. THE IMPROVED MR-CNN MODEL IS BASED ON THE FRAMEWORK AND STRUCTURE OF THE REGION-CONVOLUTIONAL NETWORK, WHICH PROPOSES A CERTAIN NUMBER OF CANDIDATE REGIONS FOR THE IMAGE BY FEATURE EXTRACTION AND CLASSIFIES THEM, THEN OUTPUTS THESE REGIONS AS DETECTED BOUNDING BOXES, AND DOES MASK PREDICTION FOR THE CANDIDATE REGIONS USING SEGMENTATION BRANCHES. THE IMPROVED MR-CNN MODEL USES AN IMPROVED DEEP RESIDUAL NETWORK AS THE BACKBONE NETWORK FOR FEATURE EXTRACTION, BILINEAR INTERPOLATION OF THE EXTRACTED CANDIDATE REGIONS USING REGION OF INTEREST (ROI) ALIGN, FOLLOWED BY TARGET CLASSIFICATION AND DETECTION, AND SEGMENTATION OF THE IMAGE USING THE SEGMENTATION BRANCH. THE MODEL IMPROVES THE CONVOLUTION PART IN THE SEGMENTATION BRANCH BY REPLACING THE ORIGINAL STANDARD CONVOLUTION WITH A DEPTH-SEPARABLE CONVOLUTION TO IMPROVE THE NETWORK EFFICIENCY. EXPERIMENTALLY CONSTRUCTED POLYGON-LABELED DATASETS ARE SIMULATED USING THE ALGORITHM. THE DEEPENING OF THE NETWORK AND THE USE OF DEPTH-SEPARABLE NETWORK IMPROVE THE ACCURACY OF DETECTION WHILE MAINTAINING THE RELIABILITY OF THE NETWORK AND VALIDATE THE EFFECTIVENESS OF THE IMPROVED MR-CNN. 2021 11 1329 39 HIGH-FREQUENCY CEREBRAL ACTIVATION AND INTERHEMISPHERIC SYNCHRONIZATION FOLLOWING SUDARSHAN KRIYA YOGA AS GLOBAL BRAIN RHYTHMS: THE STATE EFFECTS. CONTEXT: RESPIRATION IS KNOWN TO MODULATE NEURONAL OSCILLATIONS IN THE BRAIN AND IS MEASURED BY ELECTROENCEPHALOGRAM (EEG). SUDARSHAN KRIYA YOGA (SKY) IS A POPULAR BREATHING PROCESS AND IS ESTABLISHED FOR ITS SIGNIFICANT EFFECTS ON THE VARIOUS ASPECTS OF PHYSIOLOGY AND PSYCHOLOGY. AIMS: THIS STUDY AIMED TO OBSERVE NEURONAL OSCILLATIONS IN MULTIFREQUENCY BANDS AND INTERHEMISPHERIC SYNCHRONIZATION FOLLOWING SKY. SETTINGS AND DESIGN: THIS STUDY EMPLOYED BEFORE- AND AFTER-STUDY DESIGN. SUBJECTS AND METHODS: FORTY HEALTHY VOLUNTEERS (AVERAGE AGE 25.45 +/- 5.75, 23 MALES AND 17 FEMALES) PARTICIPATED IN THE STUDY. NINETEEN-CHANNEL EEG WAS RECORDED AND ANALYZED FOR 5 MIN EACH: BEFORE AND AFTER SKY. SPECTRAL POWER FOR DELTA, THETA, ALPHA, BETA, AND GAMMA FREQUENCY BAND WAS CALCULATED USING MULTI-TAPER FAST FOURIER TRANSFORM (CHRONUX TOOLBOX). THE ASYMMETRY INDEX WAS CALCULATED BY SUBTRACTING THE NATURAL LOG OF POWERS OF LEFT (L) HEMISPHERE FROM THE RIGHT((R)) TO SHOW INTERHEMISPHERIC SYNCHRONIZATION. STATISTICAL ANALYSIS: PAIRED T-TEST WAS USED FOR STATISTICAL ANALYSIS. RESULTS: SPECTRAL POWER INCREASED SIGNIFICANTLY IN ALL FREQUENCY BANDS BILATERALLY IN FRONTAL, CENTRAL, PARIETAL, TEMPORAL, AND OCCIPITAL REGIONS OF THE BRAIN AFTER LONG SKY. ELECTRICAL ACTIVITY SHIFTED FROM LOWER TO HIGHER FREQUENCY RANGE WITH A SIGNIFICANT RISE IN THE GAMMA AND BETA POWERS FOLLOWING SKY. ASYMMETRY INDEX VALUES TENDED TOWARD 0 FOLLOWING SKY. CONCLUSIONS: A SINGLE SESSION OF SKY GENERATES GLOBAL BRAIN RHYTHM DOMINANTLY WITH HIGH-FREQUENCY CEREBRAL ACTIVATION AND INITIATES APPROPRIATE INTERHEMISPHERIC SYNCHRONIZATION IN BRAIN RHYTHMS AS STATE EFFECTS. THIS SUGGESTS THAT SKY LEADS TO BETTER ATTENTION, MEMORY, AND EMOTIONAL AND AUTONOMIC CONTROL ALONG WITH ENHANCED COGNITIVE FUNCTIONS, WHICH FINALLY IMPROVES PHYSICAL AND MENTAL WELL-BEING. 2020 12 1565 31 LOW AND THEN HIGH FREQUENCY OSCILLATIONS OF DISTINCT RIGHT CORTICAL NETWORKS ARE PROGRESSIVELY ENHANCED BY MEDIUM AND LONG TERM SATYANANDA YOGA MEDITATION PRACTICE. MEDITATION PROFICIENCY IS RELATED TO TRAIT-LIKE (LEARNED) EFFECTS ON BRAIN FUNCTION, DEVELOPED OVER TIME. PREVIOUS STUDIES SHOW INCREASES IN EEG POWER IN LOWER FREQUENCY BANDS (THETA, ALPHA) IN EXPERIENCED MEDITATORS IN BOTH MEDITATION STATES AND BASELINE CONDITIONS. HIGHER GAMMA BAND POWER HAS BEEN FOUND IN ADVANCED BUDDHIST MEDITATORS, YET IT IS NOT KNOWN IF THIS OCCURS IN YOGA MEDITATION PRACTICES. THIS STUDY USED ELORETA TO COMPARE DIFFERENCES IN CORTICAL SOURCE ACTIVITY UNDERLYING SCALP EEG FROM INTERMEDIATE (MEAN EXPERIENCE 4 YEARS) AND ADVANCED (MEAN EXPERIENCE 30 YEARS) AUSTRALIAN MEDITATORS FROM THE SATYANANDA YOGA TRADITION DURING A BODY-STEADINESS MEDITATION, MANTRA MEDITATION, AND NON-MEDITATION MENTAL CALCULATION CONDITION. INTERMEDIATE YOGA MEDITATORS SHOWED GREATER SOURCE ACTIVITY IN LOW FREQUENCIES (PARTICULARLY THETA AND ALPHA1) DURING MENTAL CALCULATION, BODY-STEADINESS AND MANTRA MEDITATION. A SIMILAR SPATIAL PATTERN OF SIGNIFICANT DIFFERENCES WAS FOUND IN ALL CONDITIONS BUT THE NUMBER OF SIGNIFICANT VOXELS WAS DOUBLE DURING BODY-STEADINESS AND MANTRA MEDITATION THAN IN THE NON-MEDITATION (CALCULATION) CONDITION. THESE DIFFERENCES WERE GREATEST IN RIGHT (R) SUPERIOR FRONTAL AND R PRECENTRAL GYRI AND EXTENDED BACK TO INCLUDE THE R PARIETAL AND OCCIPITAL LOBES. ADVANCED YOGA MEDITATORS SHOWED GREATER ACTIVITY IN HIGH FREQUENCIES (BETA AND ESPECIALLY GAMMA) IN ALL CONDITIONS BUT GREATLY EXPANDED DURING MEDITATION PRACTICE. ACROSS ALL CONDITIONS (MEDITATION AND NON-MEDITATION) DIFFERENCES WERE GREATEST IN THE SAME REGIONS: R INSULA, R INFERIOR FRONTAL GYRUS AND R ANTERIOR TEMPORAL LOBE. DISTINCT R CORE NETWORKS WERE IDENTIFIED IN ALPHA1 (8-10 HZ) AND GAMMA (25-42 HZ) BANDS, RESPECTIVELY. THE VOXELS RECRUITED TO THESE NETWORKS GREATLY EXPANDED DURING MEDITATION PRACTICE TO INCLUDE HOMOLOGOUS REGIONS OF THE LEFT HEMISPHERE. FUNCTIONAL INTERPRETATION PARALLELS TRADITIONALLY DESCRIBED STAGES OF DEVELOPMENT IN YOGA PROFICIENCY. 2014 13 2067 34 THE CONSCIOUSNESS STATE OF TRADITIONAL NIDRA YOGA/MODERN YOGA NIDRA: PHENOMENOLOGICAL CHARACTERIZATION AND PRELIMINARY INSIGHTS FROM AN EEG STUDY. NIDRA YOGA IS AN ANCIENT YOGIC PRACTICE CAPABLE OF INDUCING ALTERED STATES OF CONSCIOUSNESS CHARACTERIZED BY DEEP RELAXATION, STRONG CONCENTRATION, ACUTE SELF-AWARENESS, AND JOY. IN MODERN CONTEMPLATIVE NEUROSCIENCE LANGUAGE, IT IS KNOWN BY THE NAME YOGA NIDRA, AND FEW STUDIES HAVE INVESTIGATED ITS PHENOMENOLOGICAL AND PSYCHOPHYSIOLOGICAL EFFECTS. SIX HEALTHY VOLUNTEERS (FOUR FEMALES AGED 31-74) PERFORMED 12 YOGA NIDRA SESSIONS GUIDED BY AN EXPERT DURING A 6-DAY RETREAT. EACH SESSION CONSISTED OF 10 MINUTES IN A RESTING STATE (BASELINE) FOLLOWED BY 2 HOURS OF YOGA NIDRA. PSYCHOMETRIC DATA REGARDING DISSOCIATIVE EXPERIENCES (CLINICIAN ADMINISTERED DISSOCIATIVE STATES SCALE) AND THE STATE OF CONSCIOUSNESS (PHENOMENOLOGY OF CONSCIOUSNESS INVENTORY) WERE COLLECTED AFTER BASELINE AND YOGA NIDRA, WHILE HIGH-DENSITY EEG WAS RECORDED DURING THE ENTIRE SESSION. DURING NIDRA SESSIONS, NO SLEEP HALLMARKS (I.E., K-COMPLEXES AND SLEEP SPINDLES) WERE DETECTED BY THE EEG IN ANY SUBJECT. PSYCHOMETRIC DATA WE RE ANALYZED USING A WILCOXON SIGNED-RANK TEST CORRECTED WITH THE FALSE DISCOVERY RATE APPROACH FOR MULTIPLE COMPARISONS. COMPARED TO BASELINE, YOGA NIDRA PRACTICE WAS RELATED TO: (1) INCREASED DISSOCIATIVE EFFECTS (P = 0.022); (2) PERCEPTION OF BEING IN AN ALTERED STATE OF CONSCIOUSNESS (P = 0.026); (3) ALTERATIONS IN PERCEIVED BODY IMAGE (P = 0.022); (4) INCREASED "MEANINGFULNESS" ATTRIBUTED TO THE EXPERIENCE (P = 0.026); (5) REDUCED RATIONAL THINKING (P = 0.029); AND (6) REDUCED VOLITIONAL THOUGHT CONTROL (P = 0.026). FIRST-PERSON EXPERIENCE IS DISCUSSED IN RELATION TO DESCRIPTIVE EEG POWER SPECTRAL DENSITY ANALYSIS, WHICH WAS PERFORMED IN ONE SUBJECT BECAUSE OF SEVERE EEG ARTIFACTS IN THE OTHER RECORDINGS; THAT SUBJECT SHOWED, COMPARED TO BASELINE: (1) EARLY INCREASE OF ALPHA AND BETA POWER, FOLLOWED BY A PROGRESSIVE WIDESPREAD REDUCTION; (2) WIDESPREAD EARLY INCREASE OF THETA POWER, FOLLOWED BY A PROGRESSIVE REDUCTION; AND (3) WIDESPREAD INCREASE OF GAMMA POWER IN THE LATEST STAGES. THE PRESENT PRELIMINARY RESULTS ENRICH THE KNOWLEDGE OF YOGA NIDRA, ELUCIDATING ITS PHENOMENOLOGY AND SUGGESTING SOME PSYCHOPHYSIOLOGICAL CORRELATES THAT FUTURE STUDIES MAY ADDRESS. 2021 14 1918 30 ROLE OF YOGA AND MEDITATION AS COMPLIMENTARY THERAPEUTIC REGIME FOR STRESS-RELATED NEUROPSYCHIATRIC DISORDERS: UTILIZATION OF BRAIN WAVES ACTIVITY AS NOVEL TOOL. DURING RECENT DECADES, STRESS-RELATED NEUROPSYCHIATRIC DISORDERS SUCH AS ANXIETY, DEPRESSION, CHRONIC TENSION HEADACHE, AND MIGRAINE HAVE ESTABLISHED THEIR STRONGHOLD IN THE LIVES OF A VAST NUMBER OF PEOPLE WORLDWIDE. IN ORDER TO ADDRESS THIS GLOBAL PHENOMENON, INTENSIVE STUDIES HAVE BEEN CARRIED OUT LEADING TO THE ADVANCEMENT OF DRUGS LIKE ANTI-DEPRESSANTS, ANXIOLYTICS, AND ANALGESICS WHICH ALTHOUGH HELP IN COMBATING THE SYMPTOMS OF SUCH DISORDERS BUT ALSO CREATE LONG-TERM SIDE EFFECTS. THUS, AS AN ALTERNATIVE TO SUCH CLINICAL PRACTICES, VARIOUS COMPLEMENTARY THERAPIES SUCH AS YOGA AND MEDITATION HAVE BEEN PROVED TO BE EFFECTIVE IN ALLEVIATING THE CAUSES AND SYMPTOMS OF DIFFERENT NEUROPSYCHIATRIC DISORDERS. THE ROLE OF ALTERED BRAIN WAVES IN THIS CONTEXT HAS BEEN RECOGNIZED AND NEEDS TO BE PURSUED AT THE HIGHEST LEVEL. THUS, THE CURRENT STUDY PROVIDES A REVIEW FOCUSED ON DESCRIBING THE EFFECTS OF YOGA AND MEDITATION ON ANXIETY AND DEPRESSION AS WELL AS EXPLORING BRAIN WAVES AS A TOOL FOR ASSESSING THE POTENTIAL OF THESE COMPLEMENTARY THERAPIES FOR SUCH DISORDERS. 2020 15 1590 27 MEDITATION AND YOGA CAN MODULATE BRAIN MECHANISMS THAT AFFECT BEHAVIOR AND ANXIETY-A MODERN SCIENTIFIC PERSPECTIVE. MEDITATION AND YOGA TECHNIQUES ARE RECEIVING INCREASED ATTENTION THROUGHOUT THE WORLD, DUE TO THE ACCUMULATION OF EVIDENCE BASED RESEARCH THAT PROVES THE DIRECT AND INDIRECT BENEFITS OF SUCH PRACTICES. BASED ON STUDIES CONDUCTED SO FAR, IT HAS BEEN FOUND THAT THE PRACTICE OF MEDITATION TRIGGERS NEUROTRANSMITTERS THAT MODULATE PSYCHOLOGICAL DISORDERS SUCH AS ANXIETY. THIS PAPER WILL REVIEW THE PSYCHOLOGICAL EFFECTS OF THE PRACTICE OF MEDITATION, THE ROLE OF NEUROTRANSMITTERS, AND STUDIES USING EEG AND FMRI. 2015 16 2304 25 TOWARD AN EXPLANATORY FRAMEWORK FOR YOGA THERAPY INFORMED BY PHILOSOPHICAL AND ETHICAL PERSPECTIVES. CONTEXT * YOGA THERAPY IS AN EMERGING COMPLEMENTARY AND INTEGRATIVE HEALTH PRACTICE FOR WHICH THERE IS INCREASING INTEREST FROM BOTH CLINICAL AND RESEARCH PERSPECTIVES. CURRENTLY MISSING, HOWEVER, IS AN EXPLANATORY FRAMEWORK FOR THE PROFESSION THAT PROVIDES PRACTITIONERS, CLIENTS, AND THE PUBLIC WITH AN UNDERSTANDING OF HOW VARIOUS YOGIC TRADITIONS AND PRINCIPLES CAN BE UNDERSTOOD IN MODERN HEALTH CARE CONTEXTS. OBJECTIVE * THIS STUDY PROPOSES AN EXPLANATORY FRAMEWORK FOR YOGA THERAPY, INFORMED BY PHENOMENOLOGY, EUDAIMONIA, VIRTUE ETHICS, AND FIRST-PERSON ETHICAL INQUIRY. CONCLUSIONS * THESE 4 PHILOSOPHICAL PERSPECTIVES-PHENOMENOLOGY, EUDAIMONIA, VIRTUE ETHICS, AND FIRST-PERSON ETHICAL INQUIRY-PROVIDE A LENS THROUGH WHICH TO UNDERSTAND HOW YOGIC PRACTICES SUPPORT THE INDIVIDUAL'S TRANSFORMATION IN THE EXPERIENCE OF ILLNESS, PAIN, OR DISABILITY. WE PROPOSE THAT THIS TRANSFORMATION OCCURS THROUGH FACILITATING A REHARMONIZATION OF BODY, MIND, AND ENVIRONMENT TOWARD THE EXPERIENCE OF EUDAIMONIC WELL-BEING. 2018 17 1191 28 EVOLUTION FROM FOUR MENTAL STATES TO THE HIGHEST STATE OF CONSCIOUSNESS: A NEUROPHYSIOLOGICAL BASIS OF MEDITATION AS DEFINED IN YOGA TEXTS. THIS CHAPTER PROVIDES A THEORETICAL INTRODUCTION TO STATES OF CONSCIOUSNESS AND REVIEWS NEUROSCIENTIFIC INVESTIGATIONS OF MEDITATION. THE DIFFERENT STATES OF CONSCIOUSNESS CONSIST OF FOUR MENTAL STATES, I.E., CANCALATA (RANDOM THINKING), EKAGRATA (NON-MEDITATIVE FOCUSING), DHARNA (FOCUSED MEDITATION), AND DHYANA (MEDITATION) AS DEFINED IN YOGA TEXTS. MEDITATION IS A SELF-REGULATED MENTAL PROCESS ASSOCIATED WITH DEEP RELAXATION AND INCREASED INTERNALIZED ATTENTION. SCIENTIFIC INVESTIGATIONS ON MEDITATION REPORTED CHANGES IN ELECTROPHYSIOLOGICAL SIGNALS AND NEUROIMAGING MEASURES. BUT MOST OUTCOMES OF MEDITATION STUDIES SHOWED INCONSISTENT RESULTS, THIS MAY BE DUE TO HETEROGENEITY IN MEDITATION METHODS AND TECHNIQUES EVOLVED IN THE LAST 200 YEARS. TRADITIONALLY, THE FEATURES OF MEDITATION INCLUDE THE CAPACITY TO SUSTAIN A HEIGHTENED AWARENESS OF THOUGHTS, BEHAVIORS, EMOTIONS, AND PERCEPTIONS. GENERALLY, MEDITATION INVOLVES NON-REACTIVE EFFORTLESS MONITORING OF THE CONTENT OF EXPERIENCE FROM MOMENT TO MOMENT. FOCUSED MEDITATION PRACTICE INVOLVES AWARENESS ON A SINGLE OBJECT AND OPEN MONITORING MEDITATION IS A NON-DIRECTIVE MEDITATION INVOLVED ATTENTION IN BREATHING, MANTRA, OR SOUND. THEREFORE, RESULTS OF FEW EMPIRICAL STUDIES OF ADVANCED MEDITATORS OR BEGINNERS REMAIN TENTATIVE. THIS IS AN ATTEMPT TO COMPILE THE MEDITATION-RELATED CHANGES IN ELECTROPHYSIOLOGICAL AND NEUROIMAGING PROCESSES AMONG EXPERIENCED AND NOVICE PRACTITIONERS. 2019 18 1266 20 FLUID INTELLIGENCE AND BRAIN FUNCTIONAL ORGANIZATION IN AGING YOGA AND MEDITATION PRACTITIONERS. NUMEROUS STUDIES HAVE DOCUMENTED THE NORMAL AGE-RELATED DECLINE OF NEURAL STRUCTURE, FUNCTION, AND COGNITIVE PERFORMANCE. PRELIMINARY EVIDENCE SUGGESTS THAT MEDITATION MAY REDUCE DECLINE IN SPECIFIC COGNITIVE DOMAINS AND IN BRAIN STRUCTURE. HERE WE EXTENDED THIS RESEARCH BY INVESTIGATING THE RELATION BETWEEN AGE AND FLUID INTELLIGENCE AND RESTING STATE BRAIN FUNCTIONAL NETWORK ARCHITECTURE USING GRAPH THEORY, IN MIDDLE-AGED YOGA AND MEDITATION PRACTITIONERS, AND MATCHED CONTROLS. FLUID INTELLIGENCE DECLINED SLOWER IN YOGA PRACTITIONERS AND MEDITATORS COMBINED THAN IN CONTROLS. RESTING STATE FUNCTIONAL NETWORKS OF YOGA PRACTITIONERS AND MEDITATORS COMBINED WERE MORE INTEGRATED AND MORE RESILIENT TO DAMAGE THAN THOSE OF CONTROLS. FURTHERMORE, MINDFULNESS WAS POSITIVELY CORRELATED WITH FLUID INTELLIGENCE, RESILIENCE, AND GLOBAL NETWORK EFFICIENCY. THESE FINDINGS REVEAL THE POSSIBILITY TO INCREASE RESILIENCE AND TO SLOW THE DECLINE OF FLUID INTELLIGENCE AND BRAIN FUNCTIONAL ARCHITECTURE AND SUGGEST THAT MINDFULNESS PLAYS A MECHANISTIC ROLE IN THIS PRESERVATION. 2014 19 603 26 DEVELOPMENT AND VALIDATION OF INTEGRATED YOGA MODULE FOR OBESITY IN ADOLESCENTS. BACKGROUND: OBESITY IS A GROWING GLOBAL EPIDEMIC AND CAUSE OF NONCOMMUNICABLE DISEASES. YOGA IS ONE OF THE EFFECTIVE WAYS TO REDUCE STRESS WHICH IS ONE OF THE CAUSES OF OBESITY. NOWADAYS, CHILDREN IN ADOLESCENT AGE ARE MORE PRONE TO GET OBESE DUE TO LACK OF PHYSICAL ACTIVITY MAKING THEM MORE SEDENTARY. AIM: TO IDENTIFY THE DESIGN AND VALIDATION OF INTEGRATED APPROACH OF YOGA THERAPY MODULE (IAYTM) FOR OBESITY IN ADOLESCENTS. MATERIALS AND METHODS: FIRST PHASE - IAYTM FOR OBESITY WAS DESIGNED BASED ON THE LITERATURE REVIEW OF CLASSICAL TEXTS AND RECENTLY PUBLISHED RESEARCH ARTICLES. SECOND PHASE - DESIGNED IAYTM WAS VALIDATED BY 16 SUBJECT MATTER (YOGA) EXPERTS. CONTENT-VALIDITY RATIO (CVR) WAS ANALYZED USING LAWSHE'S FORMULA. RESULTS: YOGA PRACTICES WERE DESIGNED FOR INTEGRATED YOGA MODULE FOR OBESITY IN ADOLESCENTS. YOGA PRACTICES WITH CVR >/=0.5 AND WHICH WERE VALIDATED BY 16 YOGA EXPERTS AND APPROVED IN FACULTY GROUP DISCUSSION WERE INCLUDED IN FINAL INTEGRATED YOGA THERAPY MODULE. CONCLUSION: THE YOGA PRACTICES WERE DESIGNED AND VALIDATED FOR IAYTM FOR OBESITY IN ADOLESCENTS. 2018 20 757 27 EFFECT OF SLOW AND DEEP BREATHING ON BRAIN WAVES IN REGULAR YOGA PRACTITIONERS. VARIOUS YOGIC PRACTICES FOCUS ON BREATHING. BREATHING MAY AFFECT BRAIN WAVES. THIS CROSS-SECTIONAL STUDY WAS CONDUCTED TO SEE THE EFFECT SLOW AND DEEP RESPIRATION ON EEG ACTIVITY IN EXPERIENCED YOGA PRACTITIONERS AT THE DEPARTMENT OF PHYSIOLOGY AT AIIMS, BHOPAL, INDIA. THE DURATION OF THE STUDY WAS ABOUT ONE YEAR. EEG WAS TAKEN AND WAS ANALYZED BY DINAMIKA - ADVANCED TEST SYSTEM, MOSCOW, RUSSIA. PAIRED T-TEST USING GRAPH PAD SOFTWARE WAS USED FOR STATISTICAL ANALYSIS. THE DELTA PERCENTAGE DECREASED AND THE OTHER WAVE'S PERCENTAGES THETA, ALPHA, AND BETA INCREASED SIGNIFICANTLY. THE PERSON BECOMES DEEPLY RELAXED AND MORE FOCUSSED ON SLOW AND DEEP BREATHING. 2021