Abstract
Older adults with Type II Diabetes Mellitus (DM) experience mild cognitive impairment, specifically in the domain of recall/working memory. No consistent causative structural cortical deficits have been identified in persons with DM (PwDM). Memory deficits may be exacerbated in older adult females, who are at the highest risk of cardiovascular decline due to DM. The focus of the current study was to evaluate functional cortical hemodynamic activity during memory tasks in postmenopausal PwDM. Functional Near Infrared Spectroscopy (fNIRS) was used to monitor oxyhemoglobin (HbO) and deoxyhemoglobin (HbR) during memory-based tasks in a cross-sectional sample of postmenopausal women with DM. Twenty-one community-dwelling DM females (age = 65 ± 6 years) and twenty-one age- and sex-matched healthy controls (age = 66 ± 6 years) were evaluated. Working memory performance (via N-back) was evaluated while study participants donned cortical fNIRS. Health state, metabolic data, and menopausal status data were also collected. Deficits in working memory accuracy were found in the DM group as compared to controls. Differences in HbO responses emerged in the DM group. The DM group exhibited altered PFC activity magnitudes and increased functional cortical activity across ROIs compared to controls. HbO and HbR responses were not associated with worsened health state measures. These data indicate a shift in cortical activity patterns with memory deficits in postmenopausal PwDM. This DM-specific shift of HbO is a novel finding that is unlikely to be detected by fMRI. This underscores the value of using non-MRI-based neuroimaging techniques to evaluate cortical hemodynamic function to detect early mild cognitive impairment.
Similar content being viewed by others
Code, data, and materials availability
Data analyzed in this project will be available via Zenodo (https://zenodo.org/) upon manuscript publication. As public sharing of protected health information such as date of birth, date of diagnosis, dates of treatment and other private medical history information pertinent to each participant may violate HIPAA and the Texas Medical Privacy Act, these data will not be shared to protect patient identity.
References
Aasted CM, Yücel MA, Cooper RJ et al (2015) Anatomical guidance for functional near-infrared spectroscopy: AtlasViewer tutorial. Neurophotonics 2:020801. https://doi.org/10.1117/1.NPh.2.2.020801
Aitchison RT, Ward L, Kennedy GJ et al (2018) Measuring visual cortical oxygenation in diabetes using functional near-infrared spectroscopy. Acta Diabetol 55:1181–1189. https://doi.org/10.1007/s00592-018-1200-5
Barker JW, Aarabi A, Huppert TJ (2013) Autoregressive model based algorithm for correcting motion and serially correlated errors in fNIRS. Biomed Opt Express 4:1366–1379. https://doi.org/10.1364/BOE.4.001366
Barnes JN, Hart EC, Curry TB et al (2014) Aging enhances autonomic support of blood pressure in women. Hypertension 63:303–308. https://doi.org/10.1161/HYPERTENSIONAHA.113.02393
Barwick AL, Tessier JW, Janse de Jonge X et al (2016) Peripheral sensory neuropathy is associated with altered postocclusive reactive hyperemia in the diabetic foot. BMJ Open Diab Res Care 4:e000235. https://doi.org/10.1136/bmjdrc-2016-000235
Beery AK, Zucker I (2011) Sex bias in neuroscience and biomedical research. Neurosci Biobehav Rev 35:565–572. https://doi.org/10.1016/j.neubiorev.2010.07.002
Beishon L, Panerai RB, Robinson TG, Haunton VJ (2021) Cerebral blood flow response rate to task-activation using a novel method can discriminate cognitive impairment from healthy aging. Physiol Meas. https://doi.org/10.1088/1361-6579/ac1185
Biessels GJ, Reijmer YD (2014) Brain changes underlying cognitive dysfunction in diabetes: what can we learn from MRI? Diabetes 63:2244–2252. https://doi.org/10.2337/db14-0348
Bonetti LV, Hassan SA, Lau S-T et al (2019) Oxyhemoglobin changes in the prefrontal cortex in response to cognitive tasks: a systematic review. Int J Neurosci 129:195–203. https://doi.org/10.1080/00207454.2018.1518906
Brundel M, van den Berg E, Reijmer YD et al (2012) Cerebral haemodynamics, cognition and brain volumes in patients with Type 2 Diabetes. J Diabetes Complicat 26:205–209. https://doi.org/10.1016/j.jdiacomp.2012.03.021
Buxton RB (2013) The physics of functional magnetic resonance imaging (fMRI). Rep Prog Phys 76:096601. https://doi.org/10.1088/0034-4885/76/9/096601
Cagnacci A, Venier M (2019) The Controversial History of Hormone Replacement Therapy. Medicina (kaunas) 55:602. https://doi.org/10.3390/medicina55090602
Campesi I, Franconi F, Seghieri G, Meloni M (2017a) Sex-gender-related therapeutic approaches for cardiovascular complications associated with diabetes. Pharmacol Res 119:195–207. https://doi.org/10.1016/j.phrs.2017.01.023
Centers for Disease Control and Prevention (2020) National Diabetes Statistics Report. 32. https://www.cdc.gov/diabetes/pdfs/data/statistics/national-diabetes-statistics-report.pdf
Christman AL, Vannorsdall TD, Pearlson GD et al (2009) Cranial volume, mild cognitive deficits, and functional limitations associated with diabetes in a community sample. Arch Clin Neuropsychol 25:49–59. https://doi.org/10.1093/arclin/acp091
Christman AL, Vannorsdall TD, Pearlson GD et al (2010) Cranial volume, mild cognitive deficits, and functional limitations associated with diabetes in a community sample. Arch Clin Neuropsychol 25:49–59. https://doi.org/10.1093/arclin/acp091
Cope M, Delpy DT (1988) System for long-term measurement of cerebral blood and tissue oxygenation on newborn infants by near infra-red transillumination. Med Biol Eng Comput 26:289–294. https://doi.org/10.1007/bf02447083
Delpy DT, Cope M, van der Zee P et al (1988) Estimation of optical pathlength through tissue from direct time of flight measurement. Phys Med Biol 33:1433–1442. https://doi.org/10.1088/0031-9155/33/12/008
Drew PJ (2019) Vascular and neural basis of the BOLD signal. Curr Opin Neurobiol 58:61–69. https://doi.org/10.1016/j.conb.2019.06.004
Eichenbaum H (2017) Prefrontal–hippocampal interactions in episodic memory. Nat Rev Neurosci 18:547–558. https://doi.org/10.1038/nrn.2017.74
Fadel PJ, Wang Z, Watanabe H et al (2004) Augmented sympathetic vasoconstriction in exercising forearms of postmenopausal women is reversed by oestrogen therapy. J Physiol 561:893–901. https://doi.org/10.1113/jphysiol.2004.073619
Gold DA (2012) An examination of instrumental activities of daily living assessment in older adults and mild cognitive impairment. J Clin Exp Neuropsychol 34:11–34
Gorniak SL, Khan A, Ochoa N et al (2014) Detecting subtle fingertip sensory and motor dysfunction in adults with Type II Diabetes. Exp Brain Res 232:1283–1291
Gorniak SL, Lu FY, Lee BC et al (2019) Cognitive impairment and postural control deficit in adults with Type 2 Diabetes. Diabetes Metab Res Rev 35:e3089. https://doi.org/10.1002/dmrr.3089
Gorniak SL, Ray H, Lee B-C, Wang J (2019) Cognitive-motor impairment in manual tasks in adults with Type 2 Diabetes. OTJR Occup Particip Health 40:113–121. https://doi.org/10.1177/1539449219880536
Gorniak SL, Wagner VE, Vaughn K et al (2020) Functional neuroimaging of sensorimotor cortices in postmenopausal women with Type II Diabetes. NPh 7:035007. https://doi.org/10.1117/1.NPh.7.3.035007
Grady D, Yaffe K, Kristof M et al (2002) Effect of postmenopausal hormone therapy on cognitive function: the Heart and Estrogen/progestin Replacement Study. Am J Med 113:543–548. https://doi.org/10.1016/s0002-9343(02)01270-6
Ho N, Sommers MS, Lucki I (2013) Effects of diabetes on hippocampal neurogenesis: links to cognition and depression. Neurosci Biobehav Rev 37:1346–1362. https://doi.org/10.1016/j.neubiorev.2013.03.010
Hou L, Yang J, Xu L et al (2002) Activation of brain regions associated with working memory and inhibitory control in patients with attention-deficit/hyperactivity disorder in functional near-infrared spectroscopy: a systematic review. Curr Med Imag 18:1–9
Huettel SA, Song AW, McCarthy G (2014) Functional magnetic resonance imaging, 3 edition. Sinauer associates is an imprint of Oxford University Press, Sunderland, Massachusetts, USA
Janoutová J, Šerý O, Hosák L, Janout V (2015) Is mild cognitive impairment a precursor of Alzheimer’s disease? Short review. Cent Eur J Public Health 23:365–367. https://doi.org/10.21101/cejph.a4414
Kautzky-Willer A, Harreiter J, Pacini G (2016) Sex and gender differences in risk, pathophysiology and complications of Type 2 Diabetes mellitus. Endocr Rev 37:278–316. https://doi.org/10.1210/er.2015-1137
Koen JD, Srokova S, Rugg MD (2020) Age-related neural dedifferentiation and cognition. Curr Opin Behav Sci 32:7–14. https://doi.org/10.1016/j.cobeha.2020.01.006
Koo YW, Neumann DL, Ownsworth T et al (2022) Understanding the neural basis of prospective memory using functional near-infrared spectroscopy. Front Hum Neurosci. https://doi.org/10.3389/fnhum.2022.905491
Lebovitz HE (2006) Insulin resistance–a common link between Type 2 Diabetes and cardiovascular disease. Diabetes Obes Metab 8:237–249. https://doi.org/10.1111/j.1463-1326.2005.00521.x
Maki PM (2015) Verbal memory and menopause. Maturitas 82:288–290. https://doi.org/10.1016/j.maturitas.2015.07.023
Maki PM, Thurston RC (2020) Menopause and brain health: hormonal changes are only part of the story. Front Neurol. https://doi.org/10.3389/fneur.2020.562275
Manschot SM, Brands A, van der Grond J et al (2006) Brain magnetic resonance imaging correlates of impaired cognition in patients with Type 2 Diabetes. Diabetes 55:1106
Manson JE, Bassuk SS, Kaunitz AM, Pinkerton JV (2020) The Women’s Health Initiative trials of menopausal hormone therapy: lessons learned. Menopause 27:918–928. https://doi.org/10.1097/GME.0000000000001553
Meyer MF, Lieps D, Schatz H, Pfohl M (2008) Impaired flow-mediated vasodilation in Type 2 Diabetes: lack of relation to microvascular dysfunction. Microvasc Res 76:61–65. https://doi.org/10.1016/j.mvr.2008.03.001
Nasreddine ZS, Phillips NA, Bédirian V et al (2005) The montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc 53:695–699. https://doi.org/10.1111/j.1532-5415.2005.53221.x
Ochoa N, Gorniak SL (2014) Changes in sensory function and force production in adults with Type II Diabetes. Muscle Nerve 50:984–990
Oldfield RC (1971) The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9:97–113
Oostenveld R, Praamstra P (2001) The five percent electrode system for high-resolution EEG and ERP measurements. Clin Neurophysiol 112:713–719. https://doi.org/10.1016/s1388-2457(00)00527-7
Peterson LR, Courtois M, Peterson LF et al (2000) Estrogen increases hyperemic microvascular blood flow velocity in postmenopausal women. J Gerontol A Biol Sci Med Sci 55:M174–M179. https://doi.org/10.1093/gerona/55.3.M174
Petrofsky JS (2011) The effect of type-2-diabetes-related vascular endothelial dysfunction on skin physiology and activities of daily living. J Diabetes Sci Technol 5:657–667
Pinti P, Tachtsidis I, Hamilton A et al (2020) The present and future use of functional near-infrared spectroscopy (fNIRS) for cognitive neuroscience. Ann N Y Acad Sci 1464:5–29. https://doi.org/10.1111/nyas.13948
Pollonini L, Bortfeld H, Oghalai JS (2016) PHOEBE: a method for real time mapping of optodes-scalp coupling in functional near-infrared spectroscopy. Biomed Opt Express 7:5104–5119. https://doi.org/10.1364/BOE.7.005104
Pollonini L, Gulley Cox L, Gorniak SL (2020) Hemodynamic function of forearm muscle in postmenopausal women with Type 2 Diabetes. J Aging Phys Act. https://doi.org/10.1123/japa.2019-0221
Prendergast BJ, Onishi KG, Zucker I (2014) Female mice liberated for inclusion in neuroscience and biomedical research. Neurosci Biobehav Rev 40:1–5. https://doi.org/10.1016/j.neubiorev.2014.01.001
Pu LJ, Shen Y, Lu L et al (2012) Increased blood glycohemoglobin A1c levels lead to overestimation of arterial oxygen saturation by pulse oximetry in patients with Type 2 Diabetes. Cardiovasc Diabetol 11:110. https://doi.org/10.1186/1475-2840-11-110
Rabipour S, Rajagopal S, Pasvanis S, Rajah MN (2021) Generalization of memory-related brain function in asymptomatic older women with a family history of late onset Alzheimer’s disease: Results from the PREVENT-AD Cohort. Neurobiol Aging 104:42–56. https://doi.org/10.1016/j.neurobiolaging.2021.03.009
Raparelli V, Morano S, Franconi F et al (2017) Sex differences in Type-2 Diabetes: implications for cardiovascular risk management. Curr Pharm Des 23:1471–1476. https://doi.org/10.2174/1381612823666170130153704
Santosa H, Zhai X, Fishburn F, Huppert T (2018) The NIRS Brain AnalyzIR Toolbox. Algorithms 11:73. https://doi.org/10.3390/a11050073
Sato H, Yahata N, Funane T et al (2013) A NIRS–fMRI investigation of prefrontal cortex activity during a working memory task. Neuroimage 83:158–173. https://doi.org/10.1016/j.neuroimage.2013.06.043
Seghieri G, Policardo L, Anichini R et al (2017) The effect of sex and gender on diabetic complications. Curr Diabetes Rev 13:148–160. https://doi.org/10.2174/1573399812666160517115756
Seider TR, Porges EC, Woods AJ, Cohen RA (2021) Dedifferentiation of functional brain activation associated with greater visual discrimination accuracy in middle-aged and older adults. Front Aging Neurosci 13:651284. https://doi.org/10.3389/fnagi.2021.651284
Soto M, Cai W, Konishi M, Kahn CR (2019) Insulin signaling in the hippocampus and amygdala regulates metabolism and neurobehavior. PNAS 116:6379–6384. https://doi.org/10.1073/pnas.1817391116
St George RJ, Jayakody O, Healey R et al (2022) Cognitive inhibition tasks interfere with dual-task walking and increase prefrontal cortical activity more than working memory tasks in young and older adults. Gait Posture 95:186–191. https://doi.org/10.1016/j.gaitpost.2022.04.021
Strangman GE, Li Z, Zhang Q (2013) Depth Sensitivity and Source-Detector Separations for Near Infrared Spectroscopy Based on the Colin27 Brain Template. PLOS ONE 8:e66319. https://doi.org/10.1371/journal.pone.0066319
Sullivan RM, Gratton A (2002) Prefrontal cortical regulation of hypothalamic-pituitary-adrenal function in the rat and implications for psychopathology: side matters. Psychoneuroendocrinology 27:99–114. https://doi.org/10.1016/s0306-4530(01)00038-5
van den Berg E, Dekker JM, Nijpels G et al (2008) Cognitive functioning in elderly persons with Type 2 Diabetes and metabolic syndrome: the hoorn study. Dement Geriatr Cogn Disord 26:261–269. https://doi.org/10.1159/000160959
van Harten B, Oosterman JM, Potter van Loon B-J et al (2007) Brain lesions on MRI in elderly patients with Type 2 Diabetes mellitus. Eur Neurol 57:70–74. https://doi.org/10.1159/000098054
van Harten B, de Leeuw F-E, Weinstein HC et al (2006) Brain imaging in patients with Diabetes: a systematic review. Diabetes Care 29:2539–2548. https://doi.org/10.2337/dc06-1637
Vance D, Larsen KI, Eagerton G, Wright MA (2011) Comorbidities and cognitive functioning. J Neurosci Nurs 43:215–224. https://doi.org/10.1097/JNN.0b013e3182212a04
Vitale C, Fini M, Spoletini I et al (2017) Under-representation of elderly and women in clinical trials. Int J Cardiol 232:216–221. https://doi.org/10.1016/j.ijcard.2017.01.018
Wells G, Herrington DM (1999) The Heart and estrogen/progestin replacement study: what have we learned and what questions remain? Drugs Aging 15:419–422. https://doi.org/10.2165/00002512-199915060-00001
Yaffe K, Kanaya A, Lindquist K et al (2004) The metabolic syndrome, inflammation, and risk of cognitive decline. JAMA 292:2237–2242. https://doi.org/10.1001/jama.292.18.2237
Zochodne DW (2007) Diabetes mellitus and the peripheral nervous system: manifestations and mechanisms. Muscle Nerve 36:144–166. https://doi.org/10.1002/mus.20785
Acknowledgements
This work was supported by American Heart Association Grant (AHA) #16BGIA27250047 to SLG. SMH and LP acknowledge the support of the National Science Foundation under Grant No. CNS 1650536 and 2137255: I/UCRC for Building Reliable Advances and Innovation in Neurotechnology (BRAIN). LP also acknowledges the U.S. Fulbright Scholar Program and the Fulbright Spain Commission for sponsoring his stay at the Basque Center on Cognition, Brain and Language.
Funding
AHA had no role in the design of the study, collection/analysis/interpretation of data, nor the writing/submission of this article.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
None of the authors has any conflict of interest to disclose.
Additional information
Communicated by Bill J Yates.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Gorniak, S.L., Wagner, V.E., Vaughn, K. et al. Functional near infrared spectroscopy detects cortical activation changes concurrent with memory loss in postmenopausal women with Type II Diabetes. Exp Brain Res 241, 1555–1567 (2023). https://doi.org/10.1007/s00221-023-06581-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00221-023-06581-1