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. Author manuscript; available in PMC: 2016 Jul 5.
Published in final edited form as: Int J Res Ayurveda Pharm. 2016 Jan-Feb;7(1):78–81. doi: 10.7897/2277-4343.07116

ROLE OF YOGA IN ALIENATING THE MEMORY DECLINE AND FRONTAL LOBE METABOLITE CHANGES IN TYPE 2 DIABETES

Rajani Santhakumari 1,*, Indla Yogananda Reddy 1, R Archana 2, P Rajesh 1
PMCID: PMC4933304  NIHMSID: NIHMS771321  PMID: 27390721

Abstract

Recent research studies have established the fact, that glycosylation is causing the memory decline and this is further supported by the alteration of brain metabolite concentrations in diabetes. The present study is hypothesized that yoga is having alienating ability of memory decline and alteration of frontal lobe metabolite concentrations, which are the result of glycosylation in type 2 diabetes. Five type 2 diabetic subjects of both the sex, aged between 35–55 years, who practiced yoga over a period of six months in a yoga institute, were recruited as test group. Age and sex matched five type 2 diabetic subjects were recruited as control group, both the group subjects are on oral hypoglycaemic agents. Glycosylated haemoglobin percentage was estimated with Bio-Rad instrument, frontal lobe metabolites were estimated with Proton Magnetic Resonance Spectroscopy (H-MRS), memory was calculated with PGI-Memory Scale (PGIMS) that is a part of PGI-Battery of Brain Dysfunction (PGI-BBD), which is a neuropsychological battery. Mean glycosylated haemoglobin percentage and memory dysfunction rating in control and test group subjects are 6.9±0.4 & 7.8±1.84 (p=0.03), and 14±1& 6±1 (p=0.0001) respectively. Right and left frontal lobe N-Acetyl Aspartate (NAA) and Myoionositol (mI) concentrations were more or less similar in both the groups. Yoga is having a significant role in alienating the decline in memory caused by glycosylation in type 2 diabetes but not on the alteration of frontal lobe NAA and mI concentrations.

Keywords: yoga, memory, glycosylated haemoglobin, myoinositol, N-Acetyl aspartate

INTRODUCTION

In diabetes glycosylation of red blood cells is having regulatory role on the frontal lobe metabolite concentrations1. Alteration of frontal lobe metabolite concentrations is the cause for memory decline in type 2 diabetes2. Memory is the entire series of process involved in learning and remembering, to the act of learning alone or just to the act of remembering itself3. Not much data is available on the specific effects of brain metabolite concentrations on memory, particularly that of frontal lobe metabolites. Apart from filling this gap in the research field, the present study is also aiming to study the role of yoga in alienating the memory decline and frontal lobe metabolite changes. Though hippocampus is the centre for memory, frontal lobe is having its significance in memory as well4,5,6. Right frontal lobe is responsible for episodic memory retrieval5,7 and the left frontal lobe is involved in encoding of episodic memory8. Concentration of N-Acetyl Aspartate (NAA) indicates the neuronal integrity9 and myoinositol (mI) concentration indicates the neuroglial functioning10.

Aim and objectives of the study

  1. To elucidate the effect of glycosylation on frontal lobe N-Acetyl Aspartate (NAA) and Myoinositol (mI) concentrations in type 2 diabetes.

  2. To elucidate the effect of type 2 diabetes on memory.

  3. To elucidate the relation between frontal lobe NAA and mI concentrations with memory.

  4. To elucidate the role of yoga in alienating the memory decline and alteration of frontal lobe NAA, mI concentrations.

MATERIALS AND METHODS

It is a case control study, and the study was approved by the institutional ethical committee (Dt.14/09/2012 No: FWA00002084). Five type 2 diabetic subjects of both the sex, aged between 35–55 years, who practiced yoga over a period of six months in yoga institute, were recruited as test group. Age and sex matched 5 type 2 diabetic subjects were recruited as control group, both the group subjects are on oral hypoglycaemic agents. To minimize the cultural, socioeconomical and educational differences on memory domain, control group subjects were also selected from the same area. Written informed consent was obtained from all the subjects prior to their recruitment in to the study. Inclusion criteria: type 2 diabetic patients who are taking oral hypoglycaemic agents for more than 2 years, age between 35–55 years, both the sex. Exclusion criteria: type 1 diabetes, type 2 diabetic patients who are on insulin therapy, h/o major surgeries in recent times, smokers and alcoholics, Claustrophobics.

Test group subjects have practiced specific yogasanas and pranayama, listed in table 1 at yoga institute under the supervision of a qualified yoga expert, 6 days in a week, 45–60 minutes per day. The set of yogasanas and pranayama included in the study were based on their positive results in diabetic population, which was proved by the earlier studies11.

Table 1.

List of Yogasanas and Pranayama

S.No Name of the Yogasana Duration
1 Dhanurasana 1/2 minute to one minute for the pose being maintained, adding 1/2 minute per week
2 Naukasana 2 – 4 turn of each, the pose being maintained for ten seconds adding one turn each, every fortnight
3 Arthamasthendrasana ¼ minute to one minute for each side, adding ¼ minute per week
4 Bhujangasana 2 – 4 turn of each, the pose being maintained for ten seconds adding one turn each, every fortnight
5 Shavaasana/Makarasana Shavaasana/Makarasana 3 turn of each, the pose being maintained for 30 seconds
S.No Name of the Pranayam Duration
1 Anuloma-viloma 2–5 minutes
2 Surya anuloma-viloma 5 minutes
3 Chandra anuloma-viloma 5 minutes
4 Nadishuddi pranayama 10 minutes

Glycosylated hemoglobin concentration is estimated with Bio-Rad machine that is based on high performance liquid chromatography (HPLC) principle and HbA1c <6% is non diabetic, between 6–7% considered as good control, >8% requires immediate attention12. Frontal lobe magnetic resonance spectroscopy was performed on 1.5-Tesla MRI machine (Philips Medical Systems, Best, the Netherlands), using a sense head – 8 Coil. The imaging parameters (FoV, slice thickness, voxel size, TR, TE, scan time) for the various sequences are as follows:- 3D T1 TFE sagittal : 250 × 250mm; 1.2mm with 0.6mm overlap; 1.1mm × 1.1mm × .6mm; 7.4msec, 3.4 msec; 4min 36sec, T2 axials: 230 × 230mm; 5mm, 1.1 mm × 1.1 mm ×5 mm; 4533 msec; 100 msec; 4 min 48sec. Frontal lobe metabolism was investigated with proton magnetic resonance spectroscopy using a single voxel technique. A single voxel point resolved spectroscopy (PRESS) sequence was used for volume of interest (VOI) localization (TR/TE =1800 msec/36msec; NSA 96; spectral band width 1000; scan time 3 min 25 sec). Based on the axial T2-weighted image, a voxel (20×20×15 mm) was positioned in the frontal white matter, avoiding the cortex and lateral ventricle. Multiple Optimization Insensitive Suppression Train (MOIST) was used for water suppression in the spectroscopy sequences and spectral correction was done. Memory was estimated with PGI-Memory Scale (PGIMS) and its proforma contains a set of 5 cards for visual retention, a set of 2 cards, one having pictures of 10 common objects and second having pictures of 20 common objects for recognition, stop watch, pencil and erasure. And with PGIMS one can measure the remote memory, recent memory, mental balance, attention-concentration, delayed recall, immediate recall, verbal retention for similar pairs, verbal retention for dissimilar pairs, visual retention and recognition13. Obtained raw scores for 10 sub tests for memory should be converted and the converted scores are allotted dysfunction rating, if the converted scores are 0–2, the dysfunction rating is 3, if 3–4, dysfunction rating is 2 and 5+ means ‘0’(zero) dysfunction. Maximum dysfunction rating score for each sub test is 3 and there are 10 sub tests, so total dysfunction rating score on PGIMS would be 3×10=3014. And if there is complete normal memory the total scores will be ‘0’ (zero).

Statistical Analysis

Statistical analysis was conducted by using Med Calc Statistical Software version 12.7.8 (Med Calc Software bvba, Ostend, Belgium; http://www.medcalc.org; 2014), an unpaired t test was performed to compare the mean difference between test and control group, p value <0.05 was considered as significant.

Mean HbA1c percentage in control and test group subjects was 6.9±0.4 & 7.8±1.84 (P=0.03) respectively and mean PGIMS memory dysfunction ratings were 14±1& 6±1 (p=0.0001). Right frontal lobe NAA concentration in control and test group was 1.40±0.50&1.50±0.10 (p=0.84) and mI concentration was 0.61±0.20 & 0.47±0.20 (p=0.30) respectively. Left frontal lobe NAA concentration in control and test group was 1.46±0.17&1.52±0.27 (p=0.68) and mI concentration was 0.57±0.20 & 0.54±0.27 (p=0.99) respectively.

DISCUSSION

The selected yoga mentioned in table 1 have played a remarkable role in controlling the glycosylated haemoglobin (HbA1c) percentage, this finding is in line with the previous studies11,15. Earlier studies have also proved that this regulatory effects of yoga on glycosylated haemoglobin percentage is by stimulating the parasympathetic and inhibiting the sympathetic nervous system that was established with Cardiac Autonomic (CAN) tests16. Type 2 diabetes also treated excellently in ayurveda17. Right and left frontal lobe NAA concentration in test group is more than in control group, and mI concentration is less in test group, though these changes were not significant statistically. Higher concentration of NAA and lower levels of mI in right frontal lobe of test group subjects in the present study were also in line with the earlier research reports18. Though there is more glycosylation in control group, right and left frontal lobe NAA and mI concentrations were not altered much when compared with test group and this finding is in contradiction with the earlier reports1,19. NAA and mI concentrations are not much differ between test and control groups but test group subjects are having better memory scores whereas control group are having memory dysfunction rating. With the present sample size it is difficult to say which sub component of memory is affected badly in type 2 diabetes for that it requires larger sample size. It gives insight scope for the authors to probe for the alternative reasons why type 2 diabetic patients are having memory decline with normal frontal lobe NAA and mI concentrations.

CONCLUSION

Yoga has a positive role in alienating the memory decline in type 2 diabetes but not on the frontal lobe NAA and mI concentrations.

LIMITATIONS OF THE STUDY

Prospective study with more sample size could have given more scope for observations in relating the frontal lobe NAA and mI concentrations with memory decline in type 2 diabetes and the role played by yoga in alienating these changes.

Figure 1.

Figure 1

Right frontal lobe MRS findings in a subject

Figure 2.

Figure 2

Mean PGIMS dysfunction rating in control and test groups

Acknowledgments

Research reported in this publication was conducted by scholars at the Fogarty International Centre of the NIH training program under Award Number D43 TW 009078. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Health.

Source of support: Nil

Footnotes

Conflict of interest: None Declared

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REFERENCES

  • 1.Sahin I, Alkan A, Keskin L, Cikim A, Karakas HM, Firat AK, et al. Evaluation of in vivo cerebral metabolism on proton magnetic resonance spectroscopy in patients with impaired glucose tolerance and type 2 diabetes mellitus. J Diabetes Complications. 2008;22(4):254–260. doi: 10.1016/j.jdiacomp.2007.03.007. http://dx.doi.org/10.1016/j.jdiacomp.2007.03.007. [DOI] [PubMed] [Google Scholar]
  • 2.Van Harten B, de Leeuw FE, Weinstein HC, Scheltens P, Biessels GJ. Brain imaging in patients with diabetes: a systematic review. Diabetes Care. 2006;29:2539–2548. doi: 10.2337/dc06-1637. [PubMed] http://dx.doi.org/10.2337/dc06-1637. [DOI] [PubMed] [Google Scholar]
  • 3.Asbury Arthur K. In: Diseases of the Nervous system – Clinical Neurobiology. 2. Saunders WB, editor. I. 1992. p. 703. [Google Scholar]
  • 4.Pigott S, Milner B. Memory for different aspects of complex visual scenes after unilateral temporal- or frontal-lobe resection. Neuropsychologia. 1993;31:1–15. doi: 10.1016/0028-3932(93)90076-c. http://dx.doi.org/10.1016/0028-3932(93)90076-C. [DOI] [PubMed] [Google Scholar]
  • 5.Tulving E, Kapur S, Craik FIM, Moscovitch M, Houle S. Hemispheric encoding/retrieval asymmetry in episodic memory: Positron emission tomography findings. Proc. Natl. Acad. Sci. 1994;91:2016–2020. doi: 10.1073/pnas.91.6.2016. http://dx.doi.org/10.1073/pnas.91.6.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Wilding EL, Rugg MD. An event-related potential study of recognition memory with and without retrieval source. Brain. 1996;119:889–905. doi: 10.1093/brain/119.3.889. http://dx.doi.org/10.1093/brain/119.4.1415-a. [DOI] [PubMed] [Google Scholar]
  • 7.Nyberg L, Cabeza R, Tulving E. PET studies of encoding and retrieval: The HERA model. Psychon Bull Rev. 1996;3(2):135–148. doi: 10.3758/BF03212412. http://dx.doi.org/10.3758/BF03212412. [DOI] [PubMed] [Google Scholar]
  • 8.Kelley William M, et al. Hemispheric Specialization in Human Dorsal Frontal Cortex and Medial Temporal Lobe for Verbal and Nonverbal Memory Encoding Neuron. 1998;(20):927–936. doi: 10.1016/s0896-6273(00)80474-2. [DOI] [PubMed] [Google Scholar]
  • 9.Bertholdo D, Watcharakorn A, Castillo M. Brain Proton Magnetic Resonance Spectroscopy: Introduction and Overview. Neuroimaging Clin N Am. 2013;23(3):366. doi: 10.1016/j.nic.2012.10.002. http://dx.doi.org/10.1016/j.nic.2012.10.002. [DOI] [PubMed] [Google Scholar]
  • 10.Bertholdo D, Watcharakorn A, Castillo M. Brain Proton Magnetic Resonance Spectroscopy: Introduction and Overview. Neuroimaging Clin N Am. 2013;23(3):367. doi: 10.1016/j.nic.2012.10.002. http://dx.doi.org/10.1016/j.nic.2012.10.002. [DOI] [PubMed] [Google Scholar]
  • 11.Sahay BK. Role of yoga in diabetes. J Assoc Physicians India. 2007;55:121–126. [PubMed] [Google Scholar]
  • 12.Pack R. Hemoglobin A1C Program Instruction Manual. Hercules, CA: United States, Bio-Rad Laboratories, Inc; pp. 1–28. 94547. [Google Scholar]
  • 13.Dwaraka Pershad, Verma Santosh K. Hand book of P.G.I Battery Brain Dysfunction. National Psychological Cor, Est. 1971:35. [Google Scholar]
  • 14.Dwaraka Pershad, Verma Santosh K. Hand book of P.G.I Battery Brain Dysfunction. National Psychological Cor, Est. 1971:52. [Google Scholar]
  • 15.Reddy M. Venkata, Murthy KJR, Sahay BNP BK. Yogic therapy. published by Sri MSR. Memorial yoga series 2005; 222. [Google Scholar]
  • 16.Rajesh P, GurumurthySastry M, Parvathi G. Effect of yoga therapy on anthropometry, metabolic parameters and cardiac autonomic function tests in type 2 diabetes mellitus patients. International Journal of Biomedical Research. 2013:330–338. 04:07. [Google Scholar]
  • 17.Bhaktha Geetha, Shivananda Nayak, Manjula Shantaram. Management of newly diagnosed type 2 diabetes by trigonella foenum-graecum. Int J Res Ayurveda Pharma. 2011;2(4):1231–1234. [Google Scholar]
  • 18.Nagothu RS, Reddy Indla Yogananda, Archana R, Ravi Varma. Right Dorsolateral Frontal Lobe N-Acetyl Aspartate and Myoinositol Concentration Estimation in Type 2 Diabetes with Magnetic Resonance Spectroscopy. Journal of Clinical and Diagnostic Research. 2015;9(7):16–19. doi: 10.7860/JCDR/2015/14153.6234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Haroon E, Watari K, Thomas A, Ajilore O, Mintz J, Elderkin-Thompson V. Prefrontal myo-inositol concentration and visuospatial functioning among diabetic depressed patients. Psychiatry Res - Neuroimaging. 2009;171(1):109. doi: 10.1016/j.pscychresns.2008.03.006. http://dx.doi.org/10.1016/j.pscychresns.2008.03.006. [DOI] [PubMed] [Google Scholar]

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