Prospective and episodic memory in relation to hippocampal volume in adults with spina bifida myelomeningocele

Neuropsychology

Volumn 29, Issue 1, 2015, Pages 92-101

  Treble Barna, Amery ^a   Juranek, Jenifer ^b   Stuebing, Karla K ^a   Cirino, Paul T ^a   Dennis, Maureen ^c   Fletcher, Jack M ^a  

^a UNIVERSITY OF HOUSTON   (United States)

^b UNIVERSITY OF TEXAS   (United States)

^c HOSPITAL FOR SICK CHILDREN   (Canada)

Author keywords

Aging; Hippocampus; Memory; Neurodevelopmental disorder; Spina bifida myelomeningocele

Indexed keywords

ADULT; AGE DISTRIBUTION; AMYGDALOID NUCLEUS; ARNOLD CHIARI MALFORMATION; ARTICLE; BRAIN SIZE; COGNITIVE DEFECT; CONTROLLED STUDY; EPISODIC MEMORY; ETHNICITY; FEMALE; FUNCTIONAL STATUS; GRAY MATTER; HANDEDNESS; HIPPOCAMPUS; HUMAN; HUMAN TISSUE; IMAGE QUALITY; INTELLIGENCE QUOTIENT; MAJOR CLINICAL STUDY; MALE; MEMORY DISORDER; MENINGOMYELOCELE; MIDDLE AGED; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; PROSPECTIVE MEMORY; QUALITY OF LIFE; SEX DIFFERENCE; SOCIAL STATUS; SPINA BIFIDA MYELOMENINGOCELE; SPINAL DYSRAPHISM; YOUNG ADULT; AGED; COMPLICATION; DAILY LIFE ACTIVITY; INDEPENDENT LIVING; MEMORY DISORDERS; ORGAN SIZE; PATHOLOGY; PATHOPHYSIOLOGY; PSYCHOLOGY;

ACTIVITIES OF DAILY LIVING; ADULT; AGED; FEMALE; HIPPOCAMPUS; HUMANS; INDEPENDENT LIVING; MEMORY DISORDERS; MEMORY, EPISODIC; MENINGOMYELOCELE; MIDDLE AGED; ORGAN SIZE; SPINAL DYSRAPHISM;

EID: 84925962738     PISSN: 08944105     EISSN: 19311559     Source Type: Journal    
DOI: 10.1037/neu0000111     Document Type: Article

References (71)

1. Au, K. S., Ashley-Koch, A., & Northrup, H. (2010). Epidemiologic and genetic aspects of spina bifida and other neural tube defects. Developmental Disabilities Research Reviews, 16, 6-15. doi:10.1002/ddrr.93
2. Barkovich, A. J., & Raybaud, C. (Eds.). (2012). Pediatric neuroimaging (5th ed.). Philadelphia, PA: Lippincott Williams & Wilkins.
3. Barnes, M., Dennis, M., & Hetherington, R. (2004). Reading and writing skills in young adults with spina bifida and hydrocephalus. Journal of the International Neuropsychological Society, 10, 655- 663. doi:10.1017/ S1355617704105055
4. Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182. doi:10.1037/0022-3514.51.6.1173
5. Bowman, R. M., & McLone, D. G. (2010). Neurosurgical management of spina bifida: Research issues. Developmental Disabilities Research Reviews, 16, 82-87. doi:10.1002/ddrr.100
6. Bowman, R. M., McLone, D. G., Grant, J. A., Tomita, T., & Ito, J. A. (2001). Spina bifida outcome: A 25-year prospective. Pediatric Neurosurgery, 34, 114-120. doi:10.1159/000056005
7. Bruininks, R. H., Woodcock, R. W., Weatherman, R. F., & Hill, B. K. (1996). Scales of Independent Behavior-revised. Chicago, IL: Riverside Publishing Company.
8. Cabuk, B., Etus, V., Bozkurt, S. U., Sav, A., & Ceylan, S. (2011). Neuroprotective effect of memantine on hippocampal neurons in infantile rat hydrocephalus. Turkish Neurosurgery, 21, 352-358.
9. Christidi, F., Bigler, E. D., McCauley, S. R., Schnelle, K. P., Merkley, T. L., Mors, M. B., Wilde, E. A. (2011). Diffusion tensor imaging of the perforant pathway zone and its relation to memory function in patients with severe traumatic brain injury. Journal of Neurotrauma, 28, 711-725. doi:10.1089/neu.2010.1644
10. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
11. Cohen, J. D., & O'Reilly, R. C. (1996). A preliminary theory of the interactions between prefrontal cortex and hippocampus that contribute to planning and prospective memory. Mahwah, NJ: Erlbaum.
12. Dale, A. M., Fischl, B., & Sereno, M. I. (1999). Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage, 9, 179-194. doi:10.1006/nimg.1998.0395
13. Dale, A. M., & Sereno, M. I. (1993). Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: A linear approach. Journal of Cognitive Neuroscience, 5, 162-176. doi:10.1162/jocn.1993.5.2.162
14. Davis, B. E., Daley, C. M., Shurtleff, D. B., Duguay, S., Seidel, K., Loeser, J. D., & Ellenbogan, R. G. (2005). Long-term survival of individuals with myelomeningocele. Pediatric Neurosurgery, 41, 186-191. doi: 10.1159/000086559
15. Del Bigio, M. R. (2004). Cellular damage and prevention in childhood hydrocephalus. Brain Pathology, 14, 317-324. doi:10.1111/j.1750-3639 .2004.tb00071.x
16. Del Bigio, M. R. (2010). Neuropathology and structural changes in hydrocephalus. Developmental Disabilities Research Reviews, 16, 16-22. doi:10.1002/ddrr.94
17. de Leon, M. J., Mosconi, L., Blennow, K., DeSanti, S., Zinkowski, R., Mehta, P. D., Rusinek, H. (2007). Imaging and CSF studies in the preclinical diagnosis of Alzheimer's disease. Annals of the New York Academy of Sciences, 1097, 114-145. doi:10.1196/annals.1379.012
18. Dennis, M., & Barnes, M. A. (2002). Math and numeracy in young adults with spina bifida and hydrocephalus. Developmental Neuropsychology, 21, 141-155. doi:10.1207/S15326942DN2102_2
19. Dennis, M., & Barnes, M. A. (2010). The cognitive phenotype of spina bifida meningomyelocele. Developmental Disabilities Research Reviews, 16, 31-39. doi:10.1002/ddrr.89
20. Dennis, M., Jewell, D., Drake, J., Misakyan, T., Spiegler, B., Hetherington, R., Barnes, M. (2007). Prospective, declarative, and nondeclarative memory in young adults with spina bifida. Journal of the International Neuropsychological Society, 13, 312-323. doi:10.1017/S1355617707070336
21. Dennis, M., Landry, S. H., Barnes, M. A., & Fletcher, J. M. (2006). A model of neurocognitive function in spina bifida over the life span. Journal of the International Neuropsychological Society, 12, 285-296. doi:10.1017/S1355617706060371
22. Dennis, M., Nelson, R., Jewell, D., & Fletcher, J. M. (2010). Prospective memory in adults with spina bifida. Child's Nervous System, 26, 1749-1755. doi:10.1007/s00381-010-1140-z
23. Dennis, M., Yeates, K. O., Taylor, H. G., & Fletcher, J. M. (2007). Brain reserve capacity, cognitive reserve capacity, and age-based functional plasticity after congenital and acquired brain injury in children. In Y. Stern (Ed.), Cognitive reserve: Theory and applications (pp. 53-83). New York, NY: Taylor & Francis.
24. deToledo-Morrell, L., Stoub, T. R., Bulgakova, M., Wilson, R. S., Bennett, D. A., Leurgans, S., Turner, D. A. (2004). MRI-derived entorhinal volume is a good predictor of conversion from MCI to AD. Neurobiology of Aging, 25, 1197-1203. doi:10.1016/j.neurobiolaging.2003.12.007
25. Devenny, D. A., Krinsky-McHale, S. J., Kittler, P. M., Flory, M., Jenkins, E., & Brown, W. T. (2004). Age-associated memory changes in adults with Williams syndrome. Developmental Neuropsychology, 26, 691-706. doi:10.1207/s15326942dn2603_3
26. Devenny, D. A., Krinsky-McHale, S. J., Sersen, G., & Silverman, W. P. (2000). Sequence of cognitive decline in dementia in adults with Down's syndrome. Journal of Intellectual Disability Research, 44, 654-665. doi:10.1046/j.1365-2788.2000.00305.x
27. de Wall, C., Wilson, B. A., & Baddeley, A. D. (1994). The Extended Rivermead Behavioural Memory Test: A measure of everyday memory performance in normal adults. Memory, 2, 149 -166. doi:10.1080/ 09658219408258942
28. Edelstein, K., Dennis, M., Copeland, K., Frederick, J., Francis, D., Hetherington, R., Fletcher, J. M. (2004). Motor learning in children with spina bifida: Dissociation between performance level and acquisition rate. Journal of the International Neuropsychological Society, 10, 877-887. doi:10.1017/ S1355617704106085
29. Hagerman, P. J., & Hagerman, R. J. (2004). Fragile X-associated tremor/ ataxia syndrome (FXTAS). Mental Retardation and Developmental Disabilities Research Reviews, 10, 25-30. doi:10.1002/mrdd.20005
30. Han, X., & Fischl, B. (2007). Atlas renormalization for improved brain MR image segmentation across scanner platforms. IEEE Transactions on Medical Imaging, 26, 479-486. doi:10.1109/TMI.2007.893282
31. Han, X., Jovicich, J., Salat, D., van der Kouwe, A., Quinn, B., Czanner, S., Fishl, B. (2006). Reliability of MRI-derived measurements of human cerebral cortical thickness: The effects of field strength, scanner upgrade and manufacturer. Neuroimage, 32, 180-194. doi:10.1016/j.neuroimage .2006.02.051
32. Hetherington, R., Dennis, M., Barnes, M., Drake, J., & Gentili, F. (2006). Functional outcome in young adults with spina bifida and hydrocephalus. Child's Nervous System, 22, 117-124. doi:10.1007/s00381-005-1231-4
33. Hirsch, J. F. (1994). Consensus: Long-term outcome in hydrocephalus. Child's Nervous System, 10, 64-69. doi:10.1007/BF00313587
34. Holland, A. J., Hon, J., Huppert, F. A., & Stevens, F. (2000). Incidence and course of dementia in people with Down's syndrome: Findings from a population-based study. Journal of Intellectual Disability Research, 44, 138-146. doi:10.1046/j.1365-2788.2000.00263.x
35. Hollingshead, A. B. (1975). Four factor index of social status. New Haven, CT: Yale University.
36. Insel, K. C., Einstein, G. O., Morrow, D. G., & Hepworth, J. T. (2013). A multifaceted prospective memory intervention to improve medication adherence: Design of a randomized control trial. Contemporary Clinical Trials, 34, 45-52. doi:10.1016/j.cct.2012.09.005
37. Jovicich, J., Czanner, S., Han, X., Salat, D., van der Kouwe, A., Quinn, B., Fishl, B. (2009). MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: Reliability effects of scan sessions, acquisition sequences, data analyses, scanner upgrade, scanner vendors and field strengths. Neuroimage, 46, 177-192. doi:10.1016/j .neuroimage.2009.02.010
38. Juranek, J., Fletcher, J. M., Hasan, K. M., Breier, J. I., Cirino, P. T., Pazo-Alvarez, P.,... Papanicolaou, A. C. (2008). Neocortical reorganization in spina bifida. Neuroimage, 40, 1516-1522. doi:10.1016/j .neuroimage.2008.01.043
39. Kriebel, R. M., & McAllister, J. P., 2nd. (2000). Pathology of the hippocampus in experimental feline infantile hydrocephalus. Neurological Research, 22, 29-36.
40. Kvavilashvili, L., Kornbrot, D. E., Mash, V., Cockburn, J., & Milne, A. (2009). Differential effects of age on prospective and retrospective memory tasks in young, young-old, and old-old adults. Memory, 17, 180-196. doi:10.1080/09658210802194366
41. Lorber, J. (1971). Results of treatment of myelomeningocele. An analysis of 524 unselected cases, with special reference to possible selection for treatment. Developmental Medicine & Child Neurology, 13, 279-303. doi:10.1111/j.1469-8749.1971.tb03264.x
42. MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., & Sheets, V. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods, 7, 83-104. doi: 10.1037/1082-989X.7.1.83
43. Mammarella, N., Cornoldi, C., & Donadello, E. (2003). Visual but not spatial working memory deficit in children with spina bifida. Brain and Cognition, 53, 311-314. doi:10.1016/S0278-2626(03)00132-5
44. McDonald, A., Haslam, C., Yates, P., Gurr, B., Leeder, G., & Sayers, A. (2011). Google calendar: A new memory aid to compensate for prospective memory deficits following acquired brain injury. Neuropsychological Rehabilitation, 21, 784 - 807. doi:10.1080/09602011.2011 .598405
45. Miller, E., Widjaja, E., Blaser, S., Dennis, M., & Raybaud, C. (2008). The old and the new: Supratentorial MR findings in Chiari II malformation. Child's Nervous System, 24, 563-575. doi:10.1007/s00381-007-0528-x
46. Moscovitch, M., & Nadel, L. (1998). Consolidation and the hippocampal complex revisited: In defense of the multiple-trace model. Current Opinion in Neurobiology, 8, 297-300. doi:10.1016/S0959-4388(98)80155-4
47. Nitatori, T., Sato, N., Waguri, S., Karasawa, Y., Araki, H., Shibanai, K., Uchiyama, Y. (1995). Delayed neuronal death in the CA1 pyramidal cell layer of the gerbil hippocampus following transient ischemia is apoptosis. Journal of Neuroscience, 15, 1001-1011.
48. Oakeshott, P., Hunt, G. M., Poulton, A., & Reid, F. (2010). Expectation of life and unexpected death in open spina bifida: A 40-year complete, non-selective, longitudinal cohort study. Developmental Medicine & Child Neurology, 52, 749-753. doi:10.1111/j.1469-8749.2009.03543.x
49. Okuda, J., Fujii, T., Ohtake, H., Tsukiura, T., Tanji, K., Suzuki, K., Yamadori, A. (2003). Thinking of the future and past: The roles of the frontal pole and the medial temporal lobes. Neuroimage, 19, 1369-1380. doi:10.1016/S1053-8119(03)00179-4
50. Pennanen, C., Kivipelto, M., Tuomainen, S., Hartikainen, P., Hanninen, T., Laakso, M. P., Soininen, H. (2004). Hippocampus and entorhinal cortex in mild cognitive impairment and early AD. Neurobiology of Aging, 25, 303-310. doi:10.1016/S0197-4580(03)00084-8
51. Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments & Computers, 36, 717-731. doi:10.3758/ BF03206553
52. Raz, N., Lindenberger, U., Rodrigue, K. M., Kennedy, K. M., Head, D., Williamson, A., Acker, J. D. (2005). Regional brain changes in aging healthy adults: General trends, individual differences and modifiers. Cerebral Cortex, 15, 1676-1689. doi:10.1093/cercor/bhi044
53. Scott, M. A., Fletcher, J. M., Brookshire, B. L., Davidson, K. C., Landry, S. H., Bohan, T. C.,... Francis, D. J. (1998). Memory functions in children with early hydrocephalus. Neuropsychology, 12, 578-589. doi: 10.1037/0894-4105.12.4.578
54. Shin, M., Kucik, J. E., Siffel, C., Lu, C., Shaw, G. M., Canfield, M. A., & Correa, A. (2012). Improved survival among children with spina bifida in the United States. Journal of Pediatrics, 161, 1132-1137. doi: 10.1016/j.jpeds.2012.05.040
55. Socci, D. J., Bjugstad, K. B., Jones, H. C., Pattisapu, J. V., & Arendash, G. W. (1999). Evidence that oxidative stress is associated with the pathophysiology of inherited hydrocephalus in the H-Tx rat model. Experimental Neurology, 155, 109-117. doi:10.1006/exnr.1998.6969
56. Squire, L. R. (2009). Memory and brain systems: 1969-2009. The Journal of Neuroscience, 29, 12711-12716. doi:10.1523/JNEUROSCI.3575-09 .2009
57. Steffener, J., & Stern, Y. (2012). Exploring the neural basis of cognitive reserve in aging. Biochimica et Biophysica Acta, 1822, 467-473. doi: 10.1016/j.bbadis.2011.09.012
58. Stern, Y. (2012). Cognitive reserve in ageing and Alzheimer's disease. The Lancet Neurology, 11, 1006-1012. doi:10.1016/S1474-4422(12)70191-6
59. Thorndike, R., Hagen, E., & Sattler, J. (1986). The Stanford-Binet Intelligence Scale (4th ed.). Itasca, IL: Riverside.
60. Treble, A., Juranek, J., Stuebing, K. K., Dennis, M., & Fletcher, J. M. (2013). Functional significance of atypical cortical organization in spina bifida myelomeningocele: Relations of cortical thickness and gyrification with IQ and fine motor dexterity. Cerebral Cortex, 23, 2357-2369. doi:10.1093/cercor/bhs226
61. Tulving, E. (1983). Elements of episodic memory. Oxford, United Kingdom: Clarendon Press.
62. Vachha, B., & Adams, R. C. (2005). Memory and selective learning in children with spina bifida-myelomeningocele and shunted hydrocephalus: A preliminary study. Cerebrospinal Fluid Research, 2, 10. doi: 10.1186/1743-8454-2-10
63. Ware, A., Juranek, J., Williams, V., Cirino, P. C., Dennis, M., & Fletcher, J. M. (in press). Anatomical and diffusion MRI of deep gray matter in pediatric spina bifida. Neuroimage: Clinical.
64. Wills, P., Clare, L., Shiel, A., & Wilson, B. A. (2000). Assessing subtle memory impairments in the everyday memory performance of brain injured people: Exploring the potential of the extended Rivermead Behavioural Memory Test. Brain Injury, 14, 693-704. doi:10.1080/ 026990500413713
65. Wilson, B. A., Clare, L., Cockburn, J., Baddeley, A., Tate, R., & Watson, P. (1999). Manual: The Rivermead Behavioral Memory Test-Extended Version. Suffolk, England: Thames Valley Test Company Limited.
66. Wilson, B. A., Cockburn, J., & Baddeley, A. (1985). The Rivermead Behavioural Memory Test. Suffolk, England: Thames Valley Test Company Limited.
67. Wilson, B. A., Emslie, H., Foley, J., Shiel, A., Watson, P., Hawkins, K., & Watson, P. (2005). The Cambridge Prospective Memory Test, CAMPROMPT. London, England: Harcourt Assessment/The Psychological Corporation.
68. Wisniewski, K. E., Wisniewski, H. M., & Wen, G. Y. (1985). Occurrence of neuropathological changes and dementia of Alzheimer's disease in Down's syndrome. Annals of Neurology, 17, 278-282. doi:10.1002/ana .410170310
69. Yeates, K. O., & Enrile, B. G. (2005). Implicit and explicit memory in children with congenital and acquired brain disorder. Neuropsychology, 19, 618-628. doi:10.1037/0894-4105.19.5.618
70. Yeates, K. O., Enrile, B. G., Loss, N., Blumenstein, E., & Delis, D. C. (1995). Verbal learning and memory in children with myelomeningocele. Journal of Pediatric Psychology, 20, 801-815. doi:10.1093/jpepsy/ 20.6.801
71. Zhao, Y. D., Cheng, S. Y., Ou, S., Chen, P. H., & Ruan, H. Z. (2012). Functional response of hippocampal CA1 pyramidal cells to neonatal hypoxic-ischemic brain damage. Neuroscience Letters, 516, 5-8. doi: 10.1016/j.neulet.2012.02.067