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Experimental Aging Research
An International Journal Devoted to the Scientific Study of the Aging Process
Volume 48, 2022 - Issue 5
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Research Article

The Volumetric Changes of the Pineal Gland with Age: An Atlas-based Structural Analysis

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Pages 474-504 | Received 19 Jul 2021, Accepted 21 Jan 2022, Published online: 12 Feb 2022

References

  • Acer, N., Ilıca, A. T., Turgut, A. T., Ozçelik, O., Yıldırım, B., & Turgut, M. (2012). Comparison of three methods for the estimation of pineal gland volume using magnetic resonance imaging. TheScientificWorldJournal, 2012, 123412. doi:10.1100/2012/123412
  • Alstadhaug, K. B. (2009). Migraine and the hypothalamus. Cephalalgia, 29(8), 809–817. doi:10.1111/j.1468-2982.2008.01814.x
  • Ashburner, J. (2010). VBM tutorial. Tech. Rep, Wellcome Trust Centre for Neuroimaging, London, UK.
  • Ashburner, J., & Friston, K. J. (2000). Voxel-based morphometry–The methods. NeuroImage, 11(6), 805–821. doi:10.1006/nimg.2000.0582
  • Ates, O., Cayli, S., Gurses, I., Yucel, N., Iraz, M., Altinoz, E., … Yologlu, S. (2006). Effect of pinealectomy and melatonin replacement on morphological and biochemical recovery after traumatic brain injury. International Journal of Developmental Neuroscience, 24(6), 357–363. doi:10.1016/j.ijdevneu.2006.08.003
  • Atmaca, M., Korucu, T., Caglar Kilic, M., Kazgan, A., & Yildirim, H. (2019). Pineal gland volumes are changed in patients with obsessive-compulsive personality disorder. Journal of Clinical Neuroscience, 70, 221–225. doi:10.1016/j.jocn.2019.07.047
  • Aubin, S., Kupers, R., Ptito, M., & Jennum, P. (2017). Melatonin and cortisol profiles in the absence of light perception. Behavioural Brain Research, 317, 515–521. doi:10.1016/j.bbr.2016.09.060
  • Bastin, C., Yakushev, I., Bahri, M., Fellgiebel, A., Eustache, F., Landeau, B., … Salmon, E. (2012). Cognitive reserve impacts on inter-individual variability in resting-state cerebral metabolism in normal aging. NeuroImage, 63(2), 713–722. doi:10.1016/j.neuroimage.2012.06.074
  • Batouli, S. A. H., Boroomand, A., Fakhri, M., Sikaroodi, H., Oghabian, M. A., & Firouznia, K. (2009). The effect of aging on resting state brain function: an fMRI study. Iranian Journal of Radiology, 6(3), 153–158.
  • Batouli, S. A. H., & Saba, V. (2020). Larger volume and a different activation of the brain in response to threat in military officers. Basic and Clinical Neuroscience, 11(5), 669–686. doi:10.32598/bcn.9.10.160
  • Batouli, S. A. H., Sachdev, P. S., Wen, W., Wright, M. J., Ames, D., & Trollor, J. N. (2014). Heritability of brain volumes in older adults: the older Australian twins study. Neurobiology of Aging, 35(4), 937.e5–18. doi:10.1016/j.neurobiolaging.2013.10.079
  • Batouli, S. A. H., Sachdev, P. S., Wen, W., Wright, M. J., Suo, C., Ames, D., & Trollor, J. N. (2012). The heritability of brain metabolites on proton magnetic resonance spectroscopy in older individuals. NeuroImage, 62(1), 281–289. doi:10.1016/j.neuroimage.2012.04.043
  • Batouli, S. A. H., & Sisakhti, M. (2019). Investigating A hypothesis on the mechanism of long-term memory storage. NeuroQuantology, 17(3). doi:10.14704/nq.2019.17.3.1813
  • Batouli, S. A. H., & Sisakhti, M. (2020). Some points to consider in a task-based fMRI study: A guideline for beginners. Frontiers in Biomedical Technologies, 7(1SE–Review Article(s)). doi:10.18502/fbt.v7i1.2725
  • Batouli, S. A. H., Sisakhti, M., Haghshenas, S., Dehghani, H., Sachdev, P., Ekhtiari, H., … Oghabian, M. A. (2021). Iranian brain imaging database: A neuropsychiatric database of healthy brain. BCN, 12(1), 115–132. doi:10.32598/bcn.12.1.1774.2
  • Batouli, S. A. H., Trollor, J. N., Wen, W., & Sachdev, P. S. (2014). The heritability of volumes of brain structures and its relationship to age: A review of twin and family studies. Ageing Research Reviews, 13, 1–9. doi:10.1016/j.arr.2013.10.003
  • Beker-Acay, M., Turamanlar, O., Horata, E., Unlu, E., Fidan, N., Oruc, S., … Oruc, S. (2016). assessment of pineal gland volume and calcification in healthy subjects: Is it related to aging? Journal of the Belgian Society of Radiology, 100(1), 1–7. doi:10.5334/jbr-btr.892
  • Bersani, G., Garavini, A., Iannitelli, A., Quartini, A., Nordio, M., Di Biasi, C., & Pancheri, P. (2002). Reduced pineal volume in male patients with schizophrenia: No relationship to clinical features of the illness. Neuroscience Letters, 329(2), 246–248. doi:10.1016/S0304-3940(02)00617-1
  • Bhalerao, G. V., Parlikar, R., Agrawal, R., Shivakumar, V., Kalmady, S. V., Rao, N. P., … Venkatasubramanian, G. (2018). Construction of population-specific Indian MRI brain template: morphometric comparison with Chinese and Caucasian templates. Asian Journal of Psychiatry, 35, 93–100. doi:10.1016/j.ajp.2018.05.014
  • Bourque, M., Dluzen, D., & Paolo, T. (2009). Bourque M, Dluzen DE, Di Paolo T. Neuroprotective actions of sex steroids in Parkinson’s disease. Front Neuroendocrinol 30: 142-157. Frontiers in Neuroendocrinology, 30(2), 142–157. doi:10.1016/j.yfrne.2009.04.014
  • Brickman, A., Zimmerman, M., Paul, R., Grieve, S., Tate, D., Cohen, R., … Gordon, E. (2006). Regional white matter and neuropsychological functioning across the adult lifespan. Biological Psychiatry, 60(5), 444–453. doi:10.1016/j.biopsych.2006.01.011
  • Bumb, J., Brockmann, M., Groden, C., Al-Zghloul, M., & Nölte, I. (2011). TrueFISP of the pediatric pineal gland volumetric and microstructural analysis. Clinical Neuroradiology, 22(1), 69–77. doi:10.1007/s00062-011-0110-5
  • Bumb, J. M., Brockmann, M. A., Groden, C., & Nolte, I. (2013). Microstructural analysis of pineal volume using trueFISP imaging. World Journal of Radiology, 5(4), 166–172. doi:10.4329/wjr.v5.i4.166
  • Bumb, J. M., Mier, D., Noelte, I., Schredl, M., Kirsch, P., Hennig, O., … Sobanski, E. (2016). Associations of pineal volume, chronotype and symptom severity in adults with attention deficit hyperactivity disorder and healthy controls. European Neuropsychopharmacology, 26(7), 1119–1126. doi:10.1016/j.euroneuro.2016.03.016
  • Bumb, J. M., Schilling, C., Enning, F., Haddad, L., Paul, F., Lederbogen, F., … Nolte, I. (2014). Pineal gland volume in primary insomnia and healthy controls: A magnetic resonance imaging study. Journal of Sleep Research, 23(3), 276–282. doi:10.1111/jsr.12125
  • Burke, S., & Barnes, C. (2006). Plasticity in the ageing brain. Nature Reviews. Neuroscience, 7(1), 30–40. doi:10.1038/nrn1809
  • Campbell, R. (2020). notBoxPlot. GitHub. Access date, August 12, 2019. https://www.github.com/raacampbell/notBoxPlot
  • Carpenter, J. S., Abelmann, A. C., Hatton, S. N., Robillard, R., Hermens, D. F., Bennett, M. R.,…Hickie, I. B. (2017). Pineal volume and evening melatonin in young people with affective disorders. Brain Imaging and Behavior, 11(6), 1741–1750. doi:10.1007/s11682-016-9650-2
  • Charlton, R., Schiavone, F., Barrick, T. R., Morris, R., &Markus, H. S. (2009). Diffusion Tensor Imaging detects age-related white matter change over a two-year follow-up which is associated with working memory decline. Journal of Neurology, Neurosurgery, and Psychiatry, 81(1), 13–19. doi:10.1136/jnnp.2008.167288
  • Chen, Z.-Y., Chen, X., Liu, M., Ma, L., & Yu, S. (2019). Volume of hypothalamus as a diagnostic biomarker of chronic migraine. Frontiers in Neurology, 10, 606. doi:10.3389/fneur.2019.00606
  • Colliot, O., Chételat, G., Chupin, M., Desgranges, B., Magnin, B., Benali, H.,…Lehéricy, S. (2008). Discrimination between Alzheimer disease, mild cognitive impairment, and normal aging by using automated segmentation of the hippocampus 1. Radiology, 248(1), 194–201. doi:10.1148/radiol.2481070876
  • Cox, S., Harris, M., Ritchie, S., Buchanan, C., Hernández, M., Corley, J., andTucker-Drob, E. (2020). Three major dimensions of human brain cortical ageing in relation to cognitive decline across the 8th decade of life . Molecular Psychiatry 26 6 2651–2662 . doi:10.1038/s41380-020-00975-1
  • De Nadai, A., Storch, E., & Alvaro, J. (2011). Development of obsessive-compulsive disorder following a pineal germinoma: a case report. The American Journal of Psychiatry, 168(550), author reply 550-1. doi:10.1176/appi.ajp.2011.11020184
  • Dennis, E., & Thompson, P. (2014). Functional brain connectivity using fMRI in aging and alzheimer’s disease. Neuropsychology Review, 24(1), 49–62. doi:10.1007/s11065-014-9249-6
  • Diedrichsen, J., Balsters, J. H., Flavell, J., Cussans, E., & Ramnani, N. (2009). A probabilistic MR atlas of the human cerebellum. NeuroImage, 46(1), 39–46. doi:10.1016/j.neuroimage.2009.01.045
  • Dieleman, N., Koek, H., & Hendrikse, J. (2017). Short-term mechanisms influencing volumetric brain dynamics. NeuroImage: Clinical, 16, 507–513. doi:10.1016/j.nicl.2017.09.002
  • Dubois, B., Feldman, H., Jacova, C., DeKosky, S., Barberger-Gateau, P., Cummings, J., … Scheltens, P. (2007). Research criteria for the diagnosis of alzheimer’s disease: Revising the NINCDS-ADRDA criteria. Lancet Neurology, 6(8), 734–746. doi:10.1016/S1474-4422(07)70178-3
  • Duval, C., Piolino, P., Bejanin, A., Eustache, F., & Desgranges, B. (2010). Age effects on different components of theory of mind. Consciousness and Cognition, 20(3), 627–642. doi:10.1016/j.concog.2010.10.025
  • Eavani, H., Habes, M., Satterthwaite, T. D., An, Y., Hsieh, M.-K., Honnorat, N., … Davatzikos, C. (2018). Heterogeneity of structural and functional imaging patterns of advanced brain aging revealed via machine learning methods. Neurobiology of Aging, 71, 41–50. doi:10.1016/j.neurobiolaging.2018.06.013
  • Fenouillet, F., & Rozencwajg, P. (2015). Visual–Spatial abilities and goal effect on strategies used to solve a block design task. Learning and Individual Differences, 39, 158–163. doi:10.1016/j.lindif.2015.03.014
  • Filipek, P. A., Richelme, C., Kennedy, D. N., & Caviness, J. V. (1994). The young adult human brain: An MRI-based morphometric analysis. Cerebral Cortex, 4(4), 344–360. doi:10.1093/cercor/4.4.344
  • Fındıklı, E., Inci, M., Gökçe, M., Fındıklı, H., Altun, H., & Karaaslan, M. (2015). Pineal gland volume in schizophrenia and mood disorders. Psychiatria Danubina, 27(2), 153–158.
  • Fjell, A., Mcevoy, L., Holland, D., Dale, A., & Walhovd, K. (2014). What is normal in normal aging? effects of aging, amyloid and alzheimer’s disease on the cerebral cortex and the hippocampus. Progress in Neurobiology, 117, 20–40. doi:10.1016/j.pneurobio.2014.02.004
  • Fjell, A., Westlye, L., Amlien, I., Espeseth, T., Reinvang, I., Raz, N., … Walhovd, K. (2009). High consistency of regional cortical thinning in aging across multiple samples. Cerebral Cortex (New York, N.Y.: 1991), 19(9), 2001–2012. doi:10.1093/cercor/bhn232
  • Fonov, V., Evans, A. C., Botteron, K., Almli, C. R., McKinstry, R. C., Collins, D. L., & Group, B. D. C. (2011). Unbiased average age-appropriate atlases for pediatric studies. NeuroImage, 54(1), 313–327. doi:10.1016/j.neuroimage.2010.07.033
  • Fotenos, A. F., Snyder, A. Z., Girton, L., Morris, J., & Buckner, R. (2005). Normative estimates of cross-sectional and longitudinal brain volume decline in aging and AD. Neurology, 64(6), 1032–1039. doi:10.1212/01.WNL.0000154530.72969.11
  • Freeman, S., Kandel, R., Cruz Cruz, L., Rozkalne, A., Newell, K., Frosch, M., … Hyman, B. (2008). Preservation of neuronal number despite age-related cortical brain atrophy in elderly subjects without Alzheimer disease. Journal of Neuropathology and Experimental Neurology, 67(12), 1205–1212. doi:10.1097/NEN.0b013e31818fc72f
  • Fries, G. R., Zamzow, M., Andrews, T., Pink, O., Scaini, G., & Quevedo, J. (2020). Accelerated aging in bipolar disorder: A comprehensive review of molecular findings and their clinical implications. Neuroscience & Biobehavioral Reviews, 112, 107–116. doi:10.1016/j.neubiorev.2020.01.035
  • Fukunaga, R., Brown, J. W., & Bogg, T. (2012). Decision making in the balloon analogue risk task (BART): Anterior cingulate cortex signals loss aversion but not the infrequency of risky choices. Cognitive, Affective & Behavioral Neuroscience, 12(3), 479–490. doi:10.3758/s13415-012-0102-1
  • Ghaziuddin, N., Shamseddeen, W., Bertram, H., McInnis, M., Wilcox, H., Mitchell, P., … Armitage, R. (2019). Salivary melatonin onset in youth at familial risk for bipolar disorder. Psychiatry Research, 274, 49–57. doi:10.1016/j.psychres.2019.02.013
  • Golan, J., Torres, K., Staśkiewicz, G., Opielak, G., & Maciejewski, R. (2002). Morphometric parameters of the human pineal gland in relation to age, body weight and height. Folia Morphologica, 61(2), 111–113.
  • Good, C., Johnsrude, I., Ashburner, J., Henson, R., Fristen, K. J., & Frackowiak, R. (2002). A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage, 14. doi:10.1109/SSBI.2002.1233974
  • Goutagny, R., Loureiro, M., Jackson, J., Chaumont, J., Williams, S., Isope, P., … Lecourtier, L. (2013). Interactions between the lateral habenula and the hippocampus: Implication for spatial memory processes. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 38(12), 2418–2426. doi:10.1038/npp.2013.142
  • Hallam, K., Olver, J., Chambers, V., Begg, D., McGrath, C., & Norman, T. (2006). The heritability of melatonin sensitivity to bright nocturnal light in twins. Psychoneuroendocrinology, 31(7), 867–875. doi:10.1016/j.psyneuen.2006.04.004
  • Han, Q., Li, Y., Wang, J., & Zhao, X. (2018). Sex difference in the morphology of pineal gland in adults based on brain magnetic resonance imaging. Journal of Craniofacial Surgery, 29(1), e509–e513. doi:10.1097/SCS.0000000000004558
  • Hanish, A., Butman, J., Thomas, F., Yao, J., & Han, J. (2015). Pineal hypoplasia, reduced melatonin, and sleep disturbance in patients with pax6 haploinsufficiency. Journal of Sleep Research, 25. doi:10.1111/jsr.12345
  • Hasegawa, A., Ohtsubo, K., & Mori, W. (1987). Pineal gland in old age; quantitative and qualitative morphological study of 168 human autopsy cases. Brain Research, 409(2), 343–349. doi:10.1016/0006-8993(87)90720-7
  • Hikosaka, O. (2010). Hikosaka O. The habenula: From stress evasion to value-based decision-making.Nature Reviews. Neuroscience, 11(7), 503–513. doi:10.1038/nrn2866
  • Hosseini, L., Farokhi-Sisakht, F., Badalzadeh, R., Khabbaz, A., Mahmoudi, J., & Sadigh-Eteghad, S. (2019). Nicotinamide mononucleotide and melatonin alleviate aging-induced cognitive impairment via modulation of mitochondrial function and apoptosis in the prefrontal cortex and hippocampus. Neuroscience, 423, 29–37. doi:10.1016/j.neuroscience.2019.09.037
  • Jernigan, T., Archibald, S., Fennema-Notestine, C., Gamst, A., Stout, J., Bonner, J., & Hesselink, J. (2001). Effects of age on tissues and regions of the cerebrum and cerebellum. Neurobiology of Aging, 22(4), 581–594. doi:10.1016/S0197-4580(01)00217-2
  • Jones, C., Braithwaite, V., & Healy, S. (2003). The evolution of sex differences in spatial ability. Behavioral Neuroscience, 117(3), 403–411. doi:10.1037/0735-7044.117.3.403
  • Karatsoreos, I. (2014). Links between circadian rhythms and psychiatric disease. Frontiers in Behavioral Neuroscience, 8, 162. doi:10.3389/fnbeh.2014.00162
  • Karnath, H.-O. (2001). New insights into the functions of the superior temporal cortex. Nature Reviews Neuroscience, 2(8), 568–576. doi:10.1038/35086057
  • Karnath, H.-O. (2002). The subcortical anatomy of human spatial neglect: Putamen, caudate nucleus and pulvinar. Brain, 125, 350–360. doi:10.1093/brain/awf032
  • Karrer, T. M., Josef, A. K., Mata, R., Morris, E. D., & Samanez-Larkin, G. R. (2017). Reduced dopamine receptors and transporters but not synthesis capacity in normal aging adults: A meta-analysis. Neurobiology of Aging, 57, 36–46. doi:10.1016/j.neurobiolaging.2017.05.006
  • Keihani, A., Ekhtiari, H., Batouli, S. A. H., Shahbabaie, A., Sadighi, N., Mirmohammad, M., & Oghabian, M. A. (2017). Lower gray matter density in the anterior cingulate cortex and putamen can be traceable in chronic heroin dependents after over three months of successful abstinence. Iranian Journal of Radiology, 14(3), e41858. doi:10.5812/iranjradiol.41858
  • Khavinson, V., & Lin’kova, N. (2012). Morphofunctional and molecular bases of pineal gland aging. Fiziologiia Cheloveka, 38(1), 119–127. doi:10.1134/S0362119712010112
  • Kohs, S. C. (1920). The block-design tests. Journal of Experimental Psychology, 3(5), 357. doi:10.1037/h0074466
  • Kondratova, A. A., & Kondratov, R. V. (2012). The circadian clock and pathology of the ageing brain. Nature Reviews. Neuroscience, 13(5), 325–335. doi:10.1038/nrn3208
  • Koolschijn, P. C. M. P., van Haren, N. E. M., Hulshoff Pol, H. E., & Kahn, R. S. (2008). Hypothalamus volume in twin pairs discordant for schizophrenia. European Neuropsychopharmacology, 18(4), 312–315. doi:10.1016/j.euroneuro.2007.12.004
  • Kuznetsova, K. A., Maniega, S. M., Ritchie, S. J., Cox, S. R., Storkey, A. J., Starr, J. M., … Bastin, M. E. (2016). Brain white matter structure and information processing speed in healthy older age. Brain Structure & Function, 221(6), 3223–3235. doi:10.1007/s00429-015-1097-5
  • Lee, T. Y. C., & Curtin, J. (2019). The effects of melatonin prophylaxis on sensory recovery and postoperative pain following orthognathic surgery: A triple-blind randomized controlled trial and biochemical analysis. International Journal of Oral and Maxillofacial Surgery, 49. doi:10.1016/j.ijom.2019.07.006
  • Leong, R., Lo, J., Sim, S., Zheng, H., Tandi, J., Zhou, J., & Chee, M. (2016). Longitudinal brain structure and cognitive changes over 8 years in an East Asian cohort. NeuroImage, 147, 852–860. doi:10.1016/j.neuroimage.2016.10.016
  • Lezak, M. D., Howieson, D. B., Loring, D. W., & Fischer, J. S. (2004). Neuropsychological assessment. USA: Oxford University Press.
  • Liebrich, L., Schredl, M., Findeisen, P., Groden, C., Bumb, J., & Nölte, I. (2014). Morphology and function: MR pineal volume and melatonin level in human saliva are correlated. Journal of Magnetic Resonance Imaging: JMRI, 40(4), 966–971. doi:10.1002/jmri.24449
  • Liou, C.-H., Hsieh, C., Hsieh, C.-H., Lee, S., Chen, J., & Wang, C.-H. (2007). Correlation between pineal activation and religious meditation observed by functional magnetic resonance imaging. Nature Precedings, 2. doi:10.1038/npre.2007.1328.1
  • López-Muñoz, F., Molina, J. D., Rubio, G., & Alamo, C. (2011). An historical view of the pineal gland and mental disorders. Journal of Clinical Neuroscience, 18(8), 1028–1037. doi:10.1016/j.jocn.2010.11.037
  • Luders, E., Gaser, C., Narr, K. L., & Toga, A. W. (2009). Why sex matters: Brain size independent differences in gray matter distributions between men and women. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 29(45), 14265–14270. doi:10.1523/JNEUROSCI.2261-09.2009
  • MacPherson, S., Cox, S., Dickie, D., Karama, S., Starr, J., Evans, A., … Deary, I. (2017). Processing speed and the relationship between trail making test-B performance, cortical thinning and white matter microstructure in older adults. Cortex, 95, 92–103. doi:10.1016/j.cortex.2017.07.021
  • Madan, C., & Kensinger, E. (2016). Cortical complexity as a measure of age-related brain atrophy. NeuroImage, 134, 617–629. doi:10.1016/j.neuroimage.2016.04.029
  • Mathis, V., Cosquer, B., Avallone, M., Cassel, J.-C., & Lecourtier, L. (2015). Excitatory transmission to the lateral habenula is critical for encoding and retrieval of spatial memory. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 40(12), 2843–2851. doi:10.1038/npp.2015.140
  • Matsuoka, T., Imai, A., Fujimoto, H., Kato, Y., Shibata, K., Nakamura, K., … Narumoto, J. (2017). Reduced pineal volume in Alzheimer disease: A retrospective cross-sectional MR imaging study. Radiology, 286, 170188. doi:10.1148/radiol.2017170188
  • Matsuoka, T., Imai, A., Fujimoto, H., Kato, Y., Shibata, K., Nakamura, K., … Narumoto, J. (2018). Neural correlates of sleep disturbance in alzheimer’s disease: Role of the precuneus in sleep disturbance. Journal of Alzheimer’s Disease: JAD, 63(3), 957–964. doi:10.3233/JAD-171169
  • Mattson, M., & Arumugam, T. (2018). Hallmarks of brain aging: adaptive and pathological modification by metabolic states. Cell Metabolism, 27(6), 1176–1199. doi:10.1016/j.cmet.2018.05.011
  • Mattson, M., Duan, W., Chan, S., Cheng, A., Haughey, N., Gary, D., … Furukawa, K. (2002). Neuroprotective and neurorestorative signal transduction mechanisms in brain aging: Modification by genes, diet and behavior. Neurobiology of Aging, 23(5), 695–705. doi:10.1016/S0197-4580(02)00025-8
  • Mcdaniel, M. (2005). Big-brained people are smarter: A meta-analysis of the relationship between in vivo brain volume and intelligence. Intelligence, 33(4), 337–346. doi:10.1016/j.intell.2004.11.005
  • Mittal, V., Karlsgodt, K., Zinberg, J., Cannon, T., & Bearden, C. (2010). Identification and treatment of a pineal region tumor in an adolescent with prodromal psychotic symptoms. The American Journal of Psychiatry, 167(9), 1033–1037. doi:10.1176/appi.ajp.2010.09071043
  • Murphy, D., DeCarli, C., McIntosh, A., Daly, E., Mentis, M., Pietrini, P., … Rapoport, S. (1996). Sex differences in human brain morphometry and metabolism: An in vivo quantitative magnetic resonance imaging and positron emission tomography study on the effect of aging. Archives of General Psychiatry, 53(7), 585–594. doi:10.1001/archpsyc.1996.01830070031007
  • Nölte, I., Lütkhoff, A.-T., Stuck, B. A., Lemmer, B., Schredl, M., Findeisen, P., & Groden, C. (2009). Pineal volume and circadian melatonin profile in healthy volunteers: An interdisciplinary approach. Journal of Magnetic Resonance Imaging, 30(3), 499–505. doi:10.1002/jmri.21872
  • Oghabian, M., & Batouli, S. (2010). Using functional magnetic resonance imaging to differentiate between healthy aging subjects, Mild cognitive impairment, and alzheimer’s patients. Journal of Research In, 15(2), 84–93. Accessed date, June 23, 2015. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3082789/
  • Opfer, R., Ostwaldt, A.-C., Sormani, M. P., Gocke, C., Walker-Egger, C., Manogaran, P., … Schippling, S. (2017). Estimates of age-dependent cut-offs for pathological brain volume loss using SIENA/FSL – A longitudinal brain volumetry study in healthy adults. Neurobiology of Aging, 65, 1–6. doi:10.1016/j.neurobiolaging.2017.12.024
  • Park, J., Han, J. W., Lee, J. R., Byun, S., Suh, S. W., Kim, T., … Kim, K. W. (2018). Lifetime coffee consumption, pineal gland volume, and sleep quality in late life. Sleep, 41(10). doi:10.1093/sleep/zsy127
  • Park, O. K., Yoo, K.-Y., Lee, C. H., Choi, J. H., Hwang, I. K., Park, J. H., … Won, M.-H. (2010). Arylalkylamine N-acetyltransferase (AANAT) is expressed in astrocytes and melatonin treatment maintains AANAT in the gerbil hippocampus induced by transient cerebral ischemia. Journal of the Neurological Sciences, 294(1), 7–17. doi:10.1016/j.jns.2010.04.013
  • Ramanoel, S., Hoyau, E., Kauffmann, L., Renard, F., Pichat, C., Boudiaf, N., … Baciu, M. (2018). Gray matter volume and cognitive performance during normal aging. A Voxel-Based Morphometry Study. Frontiers in Aging Neuroscience, 10. doi:10.3389/fnagi.2018.00235
  • Ramos, E., Gil Martín, E., & Romero, A. (2020). Melatonin and neurodegeneration: From neurotoxic environment to cell resilience. (Advances in Molecular Toxicology), 69–108. doi:10.1016/B978-0-444-64293-6.00003-8
  • Rao, S., Martin, A., Huelin, R., Wissinger, E., Khankhel, Z., Kim, E., & Fahrbach, K. (2014). Correlations between MRI and information processing speed in MS: A meta-analysis. Multiple Sclerosis International, 2014, 975803. doi:10.1155/2014/975803
  • Raz, N., Gunning-Dixon, F., Head, D., Rodrigue, K. M., Williamson, A., & Acker, J. D. (2004). Aging, sexual dimorphism, and hemispheric asymmetry of the cerebral cortex: Replicability of regional differences in volume. Neurobiology of Aging, 25(3), 377–396. doi:10.1016/S0197-4580(03)00118-0
  • Raz, N., Rodrigue, K. M., Kennedy, K. M., Head, D., Gunning-Dixon, F., & Acker, J. D. (2003). Differential aging of the human striatum: longitudinal evidence. American Journal of Neuroradiology, 24(9), 1849–1856. 1st October 2003. http://www.ajnr.org/content/24/9/1849.abstract
  • Razavi, F., Raminfard, S., Kalantar, H., Sisakhti, M., & Batouli, S. A. H. (2021). A probabilistic atlas of the pineal gland in the standard space. Frontiers in Neuroinformatics, 15, 19. doi:10.3389/fninf.2021.554229
  • Rushton, J., & Ankney, C. (2009). Whole brain size and general mental ability: A review. The International Journal of Neuroscience, 119(5), 691–731. doi:10.1080/00207450802325843
  • Sachdev, P. S., Lee, T., Wen, W., Ames, D., Batouli, A. H., Bowden, J., … Wright, M. J. (2013). The contribution of twins to the study of cognitive ageing and dementia: the older Australian twins study. International Review of Psychiatry, 25(6), 738–747. doi:10.3109/09540261.2013.870137
  • Sahbaz, C., Özer, O., Kurtulmus, A., Kırpınar, I., Sahin, F., & Guloksuz, S. (2019). Evidence for an association of serum melatonin concentrations with recognition and circadian preferences in patients with schizophrenia. Metabolic Brain Disease, 34(3), 865–874. doi:10.1007/s11011-019-00395-3
  • Sanchez, C. E., Richards, J. E., & Almli, C. R. (2012). Age-specific MRI templates for pediatric neuroimaging. Developmental Neuropsychology, 37(5), 379–399. doi:10.1080/87565641.2012.688900
  • Sarrazin, S., Etain, B., Vederine, F.-E., d’Albis, M.-A., Hamdani, N., Daban, C., … Houenou, J. (2011). MRI exploration of pineal volume in bipolar disorder. Journal of Affective Disorders, 135(1), 377–379. doi:10.1016/j.jad.2011.06.001
  • Schmid, H. A., Requintina, P. J., Oxenkrug, G. F., & Sturner, W. (1994). Calcium, calcification, and melatonin biosynthesis in the human pineal gland: A postmortem study into age-related factors. Journal of Pineal Research, 16(4), 178–183. doi:10.1111/j.1600-079X.1994.tb00098.x
  • Seidler, R., Bernard, J., Burutolu, T., Fling, B., Gordon, M., Gwin, J., … Lipps, D. (2009). Motor control and aging: links to age-related brain structural, functional, and biochemical effects. Neuroscience and Biobehavioral Reviews, 34(5), 721–733. doi:10.1016/j.neubiorev.2009.10.005
  • Shankar, S. (2010). Biology of aging brain. Indian Journal of Pathology & Microbiology, 53(4), 595–604. doi:10.4103/0377-4929.71995
  • Shirazi, Y., Oghabian, M. A., & Batouli, S. A. H. (2021). Along-tract analysis of the white matter is more informative about brain ageing, compared to whole-tract analysis. Clinical Neurology and Neurosurgery, 211, 107048. doi:10.1016/j.clineuro.2021.107048
  • Sigurdardottir, L. G., Markt, S. C., Sigurdsson, S., Aspelund, T., Fall, K., Schernhammer, E., … Mucci, L. A. (2016). Pineal gland volume assessed by MRI and its correlation with 6-sulfatoxymelatonin levels among older men. Journal of Biological Rhythms, 31(5), 461–469. doi:10.1177/0748730416656948
  • Sisakhti, M., Sachdev, P. S., & Batouli, S. A. H. (2021). The effect of cognitive load on the retrieval of long-term memory: An fMRI study. Frontiers in Human Neuroscience, 15, 606. doi:10.3389/fnhum.2021.700146
  • Sluimer, J., Flier, W., Karas, G., Fox, N., Scheltens, P., Barkhof, F., & Vrenken, H. (2008). Whole-brain atrophy rate and cognitive decline: Longitudinal MR study of memory clinic patients 1. Radiology, 248(2), 590–598. doi:10.1148/radiol.2482070938
  • Smith, A. (1979). Symbol digit modalities test manual (Western psychological services, los angeles). BD Schwartz Et Al./Schizophrenia Research 17 (1995) 211, 19(219), 549–586.
  • Smith, S. M. (2002). Fast robust automated brain extraction. Human Brain Mapping, 17(3), 143–155. doi:10.1002/hbm.10062
  • Stein, R., Kang, H., McCorvy, J., Glatfelter, G., Jones, A., Che, T., … Dubocovich, M. (2020). Virtual discovery of melatonin receptor ligands to modulate circadian rhythms. Nature, 579(7800), 1–8. doi:10.1038/s41586-020-2027-0
  • Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18(6), 643. doi:10.1037/h0054651
  • Sudheimer, K., Keller, J., Gomez, R., Tennakoon, L., O’Hara, R., O’Hara, R., … Schatzberg, A. (2014). Decreased hypothalamic functional connectivity with subgenual cortex in psychotic major depression. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 40(4), 849–860. doi:10.1038/npp.2014.259
  • Sumida, M., Barkovich, A. J., & Newton, T. H. (1996). Development of the pineal gland: Measurement with MR. American Journal of Neuroradiology, 17(2), 233–236. 1st Feb. 1996. http://www.ajnr.org/content/17/2/233.abstract
  • Sun, B., Wang, D., Tang, Y., Fan, L., Lin, X., Yu, T., … Liu, S. (2009). The pineal volume: A three-dimensional volumetric study in healthy young adults using 3.0T MR data. International Journal of Developmental Neuroscience, 27(7), 655–660. doi:10.1016/j.ijdevneu.2009.08.002
  • Takahashi, T., Nakamura, M., Sasabayashi, D., Nishikawa, Y., Takayanagi, Y., Nishiyama, S., … Suzuki, M. (2019). Reduced pineal gland volume across the stages of schizophrenia. Schizophrenia Research, 206, 163–170. doi:10.1016/j.schres.2018.11.032
  • Takeuchi, H., Taki, Y., Sassa, Y., Hashizume, H., Sekiguchi, A., Nagase, T., … Kawashima, R. (2012). Regional gray and white matter volume associated with stroop interference: Evidence from voxel-based morphometry. NeuroImage, 59(3), 2899–2907. doi:10.1016/j.neuroimage.2011.09.064
  • Tang, B., Chang, W., Lanigan, C., Dean, B., Sutcliffe, J., & Thomas, E. (2009). Normal human aging and early-stage schizophrenia share common molecular profiles: Normal aging and schizophrenia. Aging Cell, 8(3), 339–342. doi:10.1111/j.1474-9726.2009.00468.x
  • Tomaiuolo, M., Gonzalez, M., Medina, J., & Piriz, J. (2014). Lateral habenula determines long-term storage of aversive memories. Frontiers in Behavioral Neuroscience, 8, 170. doi:10.3389/fnbeh.2014.00170
  • Tombaugh, T. N. (2004). Trail making test A and B: Normative data stratified by age and education. Archives of Clinical Neuropsychology, 19(2), 203–214. doi:10.1016/S0887-6177(03)00039-8
  • Turgut, A., Karakas, H., Ozsunar, Y., Altın, L., Ceken, K., Alicioglu, B., … Koşar, U. (2008). Age-related changes in the incidence of pineal gland calcification in Turkey: A prospective multicenter CT study. Pathophysiology: The Official Journal of the International Society for Pathophysiology/ISP, 15(1), 41–48. doi:10.1016/j.pathophys.2008.02.001
  • Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., … Joliot, M. (2002). Automated anatomical labeling of activations in spm using a macroscopic anatomical parcellation of the mni MRI single-subject brain. NeuroImage, 15(1), 273–289. doi:10.1006/nimg.2001.0978
  • Uduma, F., Fokam, P., & Okere, P. (2011). Incidence of physiological pineal gland and choroid plexus calcifications in cranio-cerebral computed tomograms in Douala, Cameroon. Global Journal of Medical Research, 11, 5–11.
  • Vinke, E., de Groot, M., Venkatraghavan, V., Klein, S., Niessen, W. J., Ikram, M., & Vernooij, M. (2018). Trajectories of imaging markers in brain aging: The Rotterdam study. Neurobiology of Aging, 71, 32–40. doi:10.1016/j.neurobiolaging.2018.07.001
  • Wang, Y., Xu, Q., Li, S., Li, G., Zuo, C., Liao, S., … Joshi, R. M. (2017). Gender differences in anomalous subcortical morphology for children with ADHD. Neuroscience Letters, 665. doi:10.1016/j.neulet.2017.12.006
  • West, K., Zuppichini, M., Turner, M., Sivakolundu, D., Zhao, Y., Abdelkarim, D., … Rypma, B. (2018). BOLD hemodynamic response function changes significantly with healthy aging. NeuroImage, 188, 198–207. doi:10.1016/j.neuroimage.2018.12.012
  • Wu, Y.-H., & Swaab, D. (2005). The human pineal gland and melatonin in aging and Alzheimer’s disease. Journal of Pineal Research, 38(3), 145–152. doi:10.1111/j.1600-079X.2004.00196.x
  • Yun, A., Bazar, K., & Lee, P. (2004). Pineal attrition, loss of cognitive plasticity, and onset of puberty during the teen years: Is it a modern maladaptation exposed by evolutionary displacement? Medical Hypotheses, 63(6), 939–950. doi:10.1016/j.mehy.2004.07.027
  • Zajdel, R., & Nowak, D. (2007). Simple and complex reaction time measurement: A preliminary evaluation of new approach and diagnostic tool. Computers in Biology and Medicine, 37(12), 1724–1730. doi:10.1016/j.compbiomed.2007.04.008
  • Zhao, Q., Guo, Q.-H., & Hong, Z. (2019). Elevated fasting blood glucose level increases the risk of cognitive decline among older adults with diabetes mellitus: The shanghai aging studY. Alzheimer’s & Dementia, 15, 830. doi:10.1016/j.jalz.2019.06.2956
  • Zhou, J.-N., Liu, R.-Y., Kamphorst, W., Hofman, M. A., & Swaab, D. (2003). Early neuropathological Alzheimer’s changes in aged individuals are accompanied by decreased cerebrospinal fluid melatonin levels. Journal of Pineal Research, 35(2), 125–130. doi:10.1034/j.1600-079X.2003.00065.x

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