Brain iron deposits are associated with general cognitive ability and cognitive aging

Neurobiology of Aging

Volumn 33, Issue 3, 2012, Pages

  Penke, Lars ^a   Valdés Hernandéz, Maria C ^a   Maniega, Susana Muñoz ^a   Gow, Alan J ^a   Murray, Catherine ^a   Starr, John M ^a   Bastin, Mark E ^a   Deary, Ian J ^a   Wardlaw, Joanna M ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Basal ganglia; Cognition; Cognitive aging; General cognitive ability; Hemosiderin; Intelligence; Iron; MRI

Indexed keywords

IRON;

AGE; AGED; AGING; ARTICLE; BASAL GANGLION; BRAIN HEMORRHAGE; CHILD; COGNITION; COGNITIVE DEFECT; CONTROLLED STUDY; FEMALE; HUMAN; INTELLIGENCE; IRON STORAGE; MAJOR CLINICAL STUDY; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SCHOOL CHILD;

EID: 84855761095     PISSN: 01974580     EISSN: 15581497     Source Type: Journal    
DOI: 10.1016/j.neurobiolaging.2010.04.032     Document Type: Article

References (33)

1. Baba V.V. Methodological issues in modeling absence: A comparison of least squares and tobit analyses. J. Appl. Psychol 1990, 75:428-432.
2. Bartzokis G., Tishler T.A., Lu P.H., Villablanca P., Altshuler L.L., Carter M., Huang D., Edwards N., Mintz J. Brain ferritin iron may influence age- and gender-related risks of neurodegeneration. Neurobiol. Aging 2007, 28:414-423.
3. Brass S.D., Chen N.K., Mulkern R.V., Bakshi R. Magnetic resonance imaging of iron deposition in neurological disorders. Top. Magn. Reson. Imaging 2006, 17:31-40.
4. Casanova M.F., Araque J.M. Mineralization of the basal ganglia: implications for neuropsychiatry, pathology and neuroimaging. Psychiatry Res 2003, 121:59-87.
5. Cordonnier C., Al-Shahi Salman R., Wardlaw J.M. Spontaneous brain microbleeds: systematic review, subgroup analyses and standards for study design and reporting. Brain 2007, 130:1988-2003.
6. Cordonnier C., Potter G.M., Jackson C.A., Doubal F., Keir S., Sudlow C.L., Wardlaw J.M., Al-Shahi Salman R. Improving inter-rater agreement about brain microbleeds: development of the Brain Observer Microbleed Scale BOMBS. Stroke 2009, 40:94-99.
7. Crawford J.R., Deary I.J., Starr J., Whalley L.J. The NART as an index of prior intellectual functioning: a retrospective validity study covering a 66-year interval. Psychol. Med 2001, 31:451-458.
8. Deary I.J., Corley J., Gow A.J., Harris S.E., Houlihan L.M., Marioni R.E., Penke L., Rafnsson S.B., Starr J.M. Age-associated cognitive decline. Br. Med. Bull 2009, 92:135-152.
9. Deary I.J., Gow A.J., Taylor M.D., Corley J., Brett C., Wilson V., Campbell H., Whalley L.J., Visscher P.M., Porteous D.J., Starr J.M. The Lothian Birth Cohort 1936: a study to examine influences on cognitive ageing from age eleven to age seventy and beyond. BMC Geriatr 2007, 7:28.
10. Deary I.J., Penke L., Johnson W. The neuroscience of human intelligence differences. Nat. Rev. Neurosci 2010, 11:201-211.
11. Deary I.J., Whiteman M.C., Starr J.M., Whalley L.J., Fox H.C. The impact of childhood intelligence on later life: Following up the Scottish mental surveys of 1932 and 1947. J. Pers. Soc. Psychol 2004, 86:130-147.
12. Folstein M.F., Folstein S.E., McHugh P.R. Mini-mental state. A practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res 1975, 12:189-198.
13. Floyd R.W., Steinberg L. An adaptive algorithm for spatial grey scale. Proceedings of the Society of Information Display 1976, 17:75-77.
14. Frisoni G.B., Galluzzi S., Pantoni L., Filippi M. The effect of white matter lesions on cognition in the elderly: small but detectable. Nat. Clin. Pract. Neurol 2007, 3:620-627.
15. Harder S.L., Hopp K.M., Ward H., Neglio H., Gitlin J., Kido D. Mineralization of the deep gray matter with age: A retrospective review with susceptibility-weighted MR imaging. AJNR Am. J. Neuroradiol 2008, 29:176-183.
16. Hedden T., Gabrieli J.D.E. Insights into the ageing mind: A view from cognitive neuroscience. Nat. Rev. Neurosci 2004, 5:87-112.
17. Hofer S.M., Sliwinski M.J. Understanding ageing: An evaluation of research designs for assessing the interdependence of ageing-related changes. Gerontology 2001, 47:341-352.
18. Holdnack J.A. Wechsler Test of Adult Reading Manual 2001, Psychological Corporation, San Antonio.
19. Jenkinson M., Bannister P.R., Brady J.M., Smith S.M. Improved optimisation for the robust and accurate linear registration and motion correction of brain images. Neuroimage 2002, 17:825-841.
20. Jensen A.R. The g Factor: The Science of Mental Ability 1998, Praeger, Westport.
21. Jung R.E., Haier R.J. The Parieto-Frontal Integration Theory (P-FIT) of intelligence: converging neuroimaging evidence. Behav. Brain Sci 2007, 30:135-154.
22. Nelson H.E., Willison J.R. National Adult Reading Test Manual 1991, NFER-Nelson, Windsor.
23. Pujol J., Junque C., Vendrell P., Grau J.M., Martí-Vilalta J.L., Olivé C., Gili J. Biological significance of iron-related magnetic resonance imaging changes in the brain. Arch. Neurol 1992, 49:711-717.
24. Salthouse T.A., Czaja S.J. Structural constraints on process explanations in cognitive aging. Psychol. Aging 2000, 15:44-55.
25. Schipper H.M. Brain iron deposition and the free radical-mitochondrial theory of ageing. Ageing Res. Rev 2004, 3:265-301.
26. The Trend of Scottish Cognitive Ability: A Comparison of the 1947 and 1932 Surveys of the Cognitive Ability of Eleven-Year-Old Pupils 1949, Scottish Council for Research in Education, University Publishing Group, London.
27. Slager U.T., Wagner J.A. The incidence, composition and pathological significance of intracerebral vascular deposits in the basal ganglia. J. Neuropathol. Exp. Neurol 1956, 15:417-431.
28. Sullivan E.V., Adalsteinsson E., Rohlfing T., Pfefferbaum A. Relevance of iron deposition in deep gray matter brain structures to cognitive and motor performance in healthy elderly men and women: Exploratory findings. Brain Imaging Behav 2009, 3:167-175.
29. Tobin J. Estimation of relationships for limited dependent variables. Econometrica 1958, 26:24-36.
30. Valdés Hernández M.C., Ferguson K.J., Bastin M.E., Wardlaw J.M. New multispectral MRI data fusion technique for white matter lesion segmentation: method and comparison with thresholding in FLAIR images. Eur. Radiol 2010, 10.1007/s00330-010-1718-6.
31. Waldstein S.R., Snow J., Muldoon M.F., Katzel L.I. Medical Neuropsychology 2001, Kluwer, New York. second ed.
32. UK Administration and Scoring Manual 1998, Psychological Corporation, London.
33. Yao B., Li T.Q., Gelderen P., Shmueli K., de Zwart J.A., Duyn J.H. Susceptibility contrast in high field MRI of human brain as a function of tissue iron content. Neuroimage 2009, 44:1259-1266.