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Imaging of Cognition, Learning and Memory in Aging
15 September 2004 - 31 August 2016
NATIONAL INSTITUTE ON AGING
Total Funding: $ 3,061,012
DESCRIPTION (provided by applicant): The proposed research is aimed at better understanding the neural underpinnings of cognitive reserve (CR). We have postulated that CR mediates the relationship between age- or Alzheimer's disease (AD)-related brain pathology and the clinical impact of that pathology. Our working hypothesis has been that CR operates through individual differences in how tasks are processed in the brain and that we can use fMRI-measured task-related activation to understand these processing differences. In both young and old, we have indentified individual differences in the efficiency and capacity of brain networks elicited by task performance, and have noted that these individual differences are often related to measured CR. We have also identified situations where older adults use different compensatory neural patterns. We now propose to assess how these possible neural implementations of CR are expressed in the presence of quantifiable measures of age- and AD-related brain changes and pathology. These will include MR measures of brain volume, cortical thickness, white matter hyperintensities, resting cerebral blood flow and default network integrity, as well quantified amyloid burden from 18F-AV-45 PET. These measures will be obtained for 50 young and 150 older healthy participants who will also perform two tasks while being imaged with fMRI. This will allow us to explore the neural implementation of CR and determine how CR maintains performance in the presence of brain changes and pathology. We also propose to follow our elder participants over time to determine whether differential expression of these CR networks in healthy elders is associated with reduced risk of important clinical outcomes including cognitive decline and developing mild cognitive impairment (MCI) or AD. This work will lead to better understanding of how aging and AD pathology impacts on the neural systems that mediate cognitive function and the neural mechanisms that differentiate successful and unsuccessful aging. In turn, it may provide clues for remediating or preventing age-related cognitive changes and delaying the onset of AD. PUBLIC HEALTH RELEVANCE: This work will lead to better understanding of how aging and AD pathology impacts on the neural systems that mediate cognitive function and the neural mechanisms that differentiate successful and unsuccessful aging. In turn, it may provide clues for remediating or preventing age-related cognitive changes and delaying the onset of AD.
28 Resulting Publications
Yunglin Gazes; Brian C Rakitin; Christian Habeck; Jason Steffener; Yaakov SternNeuropsychologia 2012;50(14):3509-18.
Yaakov SternLancet neurology 2012;11(11):1006-12.
Adrienne M Tucker; Rebecca Feuerstein; Peter Mende-Siedlecki; Kevin N Ochsner; Yaakov SternEmotion (Washington, D.C.) 2012;12(5):869-74.
Christian Habeck; Brian Rakitin; Jason Steffener; Yaakov SternBrain research 2012;1467():27-41.
Janet Metcalfe; Brady Butterfield; Christian Habeck; Yaakov SternJournal of cognitive neuroscience 2012;24(7):1571-83.
Jason Steffener; Christian G Habeck; Yaakov SternPloS one 2012;7(9):e44421.
Helena M Blumen; Yunglin Gazes; Christian Habeck; Arjun Kumar; Jason Steffener; Brian C Rakitin; Yaakov SternBehavioural brain research 2011;224(2):397-402.
Jason Steffener; Aaron Reuben; Brian C Rakitin; Yaakov SternBrain imaging and behavior 2011;5(3):212-21.
Adrienne M Tucker; Yaakov Stern; Robert C Basner; Brian C RakitinSleep 2011;34(8):1039-50.
Yaakov SternJournal of the International Neuropsychological Society : JINS 2011;17(4):639-42.
A M Tucker; Y SternCurrent Alzheimer research 2011;8(4):354-60.
Adrienne M Tucker; Brian C Rakitin; Robert C Basner; Yunglin Gazes; Jason Steffener; Yaakov SternBehavioural brain research 2011;218(1):73-9.
Aaron Reuben; Adam M Brickman; Jordan Muraskin; Jason Steffener; Yaakov SternJournal of the International Neuropsychological Society : JINS 2011;17(1):56-61.
Karen L Siedlecki; Christian G Habeck; Adam M Brickman; Yunglin Gazes; Yaakov SternJournal of the International Neuropsychological Society : JINS 2009;15(6):973-81.
Iris Asllani; Christian Habeck; Ajna Borogovac; Truman R Brown; Adam M Brickman; Yaakov SternHuman brain mapping 2009;30(9):2927-35.
Yaakov SternNeuropsychologia 2009;47(10):2015-28.
Adam M Brickman; Amir Zahra; Jordan Muraskin; Jason Steffener; Christopher M Holland; Christian Habeck; Ajna Borogovac; Marco A Ramos; Truman R Brown; Iris Asllani; et al.Psychiatry research 2009;172(2):117-20.
Roee Holtzer; Brian C Rakitin; Jason Steffener; Joe Flynn; Arjun Kumar; Yaakov SternBrain research 2009;1249():148-61.
Adam M Brickman; Christian Habeck; Marco A Ramos; Nikolaos Scarmeas; Yaakov SternHuman brain mapping 2008;29(10):1139-46.
Arjun Kumar; Brian C Rakitin; Rohit Nambisan; Christian Habeck; Yaakov SternPsychology and aging 2008;23(2):315-29.
Yaakov Stern; Eric Zarahn; Christian Habeck; Roee Holtzer; Brian C Rakitin; Arjun Kumar; Joseph Flynn; Jason Steffener; Truman BrownCerebral cortex (New York, N.Y. : 1991) 2008;18(4):959-67.
Iris Asllani; Christian Habeck; Nikolaos Scarmeas; Ajna Borogovac; Truman R Brown; Yaakov SternJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism 2008;28(4):725-36.
Eric Zarahn; Brian Rakitin; Diane Abela; Joseph Flynn; Yaakov SternNeurobiology of aging 2007;28(5):784-98.
Eric Zarahn; Brian C Rakitin; Diane Abela; Joseph Flynn; Yaakov SternNeuroImage 2006;33(2):794-804.
Yaakov SternAlzheimer disease and associated disorders 2006;20(3 Suppl 2):S69-74.
Yaakov SternAlzheimer disease and associated disorders 2006;20(2):112-7.
Nikolaos Scarmeas; Yaakov SternCurrent psychiatry reports 2006;8(1):11-7.
Nikolaos Scarmeas; Yaakov SternCurrent neurology and neuroscience reports 2004;4(5):374-80.
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