The Impact of Age-Related Changes on Working Memory Functional Activity

This work investigated associations of age-related brain atrophy and functional neural networks identified using multivariate analyses of BOLD fMRI data in young and elder participants (young, N = 37; mean age = 25; elders, N = 15; mean age = 74). Two networks were involved in retaining increasing loads of verbal information in working memory. Network utilizations were used to test associations between function and indices of grey matter volume changes using voxel based morphometry. Global changes in brain volume were not associated with the secondary network. Lower regional grey matter volume in the left pre-central gyrus within the primary network was associated with increased secondary network utilization independent of age group. Decreased regional grey matter volume was associated with increased age only in the elders. Increased secondary network expression was associated with increased slope of reaction times across memory load, in the elders. These results support the theory of neural compensation, that elder participants recruit additional neural resources to maintain task performance in the face of age-related decreases in regional grey matter volume.

[1]  R. Cabeza,et al.  Effects of aging on true and false memory formation: An fMRI study , 2007, Neuropsychologia.

[2]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[3]  P. Baltes,et al.  Emergence of a Powerful Connection Between Sensory and Cognitive Functions Across the Adult Life Span: A New Window to the Study of Cognitive Aging? , 1997 .

[4]  G. Schroth,et al.  Early diagnosis of herpes simplex encephalitis by MRI , 1987, Neurology.

[5]  Shevelev Ia.  Functional brain mapping , 1987 .

[6]  Karl J. Friston,et al.  A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains , 2001, NeuroImage.

[7]  E. Zarahn,et al.  An event-related fMRI study of the neurobehavioral impact of sleep deprivation on performance of a delayed-match-to-sample task. , 2004, Brain research. Cognitive brain research.

[8]  R. Cabeza,et al.  Task-independent and task-specific age effects on brain activity during working memory, visual attention and episodic retrieval. , 2004, Cerebral cortex.

[9]  Yaakov Stern,et al.  Positive evidence against human hippocampal involvement in working memory maintenance of familiar stimuli. , 2004, Cerebral cortex.

[10]  Adam Gazzaley,et al.  Age-related deficits in component processes of working memory. , 2007, Neuropsychology.

[11]  J. Hohnsbein,et al.  Sensorimotor slowing with ageing is mediated by a functional dysregulation of motor-generation processes: evidence from high-resolution event-related potentials. , 2004, Brain : a journal of neurology.

[12]  Karen M Rodrigue,et al.  Brain Aging and Its Modifiers , 2007, Annals of the New York Academy of Sciences.

[13]  T. Goldberg,et al.  Dissociating the effects of Sternberg working memory demands in prefrontal cortex , 2007, Psychiatry Research: Neuroimaging.

[14]  R. V. Van Heertum,et al.  Brain networks associated with cognitive reserve in healthy young and old adults. , 2005, Cerebral cortex.

[15]  Alan J Thompson,et al.  The reproducibility and sensitivity of brain tissue volume measurements derived from an SPM‐based segmentation methodology , 2002, Journal of magnetic resonance imaging : JMRI.

[16]  R. Buckner,et al.  Normative estimates of cross-sectional and longitudinal brain volume decline in aging and AD , 2005, Neurology.

[17]  E. Gordon,et al.  Regional White Matter and Neuropsychological Functioning across the Adult Lifespan , 2006, Biological Psychiatry.

[18]  Griselda J. Garrido,et al.  A voxel-based morphometry study of temporal lobe gray matter reductions in Alzheimer’s disease , 2003, Neurobiology of Aging.

[19]  J. Jonides,et al.  Storage and executive processes in the frontal lobes. , 1999, Science.

[20]  M D'Esposito,et al.  The roles of prefrontal brain regions in components of working memory: effects of memory load and individual differences. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[21]  Faith M. Gunning-Dixon,et al.  Neuroanatomical correlates of selected executive functions in middle-aged and older adults: a prospective MRI study , 2003, Neuropsychologia.

[22]  Yaakov Stern,et al.  Modified Mini-Mental State Examination: Validity and Reliability , 1987 .

[23]  Karl G. Jöreskog,et al.  Lisrel 8: Structural Equation Modeling With the Simplis Command Language , 1993 .

[24]  Alan C. Evans,et al.  A voxel-based morphometric study to determine individual differences in gray matter density associated with age and cognitive change over time. , 2004, Cerebral cortex.

[25]  Florin Dolcos,et al.  Similarities and Differences in the Neural Correlates of Episodic Memory Retrieval and Working Memory , 2002, NeuroImage.

[26]  R. Turner,et al.  Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[27]  A J Parkin,et al.  Recollective experience, normal aging, and frontal dysfunction. , 1992, Psychology and aging.

[28]  Yaakov Stern,et al.  Age-related changes in brain activation during a delayed item recognition task , 2007, Neurobiology of Aging.

[29]  B Macwhinney,et al.  The PsyScope experiment-building system. , 1997, Spatial vision.

[30]  Laura Mickes,et al.  Cognitive and physiologic correlates of subclinical structural brain disease in elderly healthy control subjects. , 2002, Archives of neurology.

[31]  R. Cabeza.  Hemispheric asymmetry reduction in older adults: the HAROLD model. , 2002, Psychology and aging.

[32]  R. Knight,et al.  The functional neuroanatomy of working memory: Contributions of human brain lesion studies , 2006, Neuroscience.

[33]  M. Buchsbaum,et al.  3.29 – Alzheimer’s Disease: Neurostructures , 2008 .

[34]  Ravi S. Menon,et al.  Functional brain mapping by blood oxygenation level-dependent contrast magnetic resonance imaging. A comparison of signal characteristics with a biophysical model. , 1993, Biophysical journal.

[35]  H. Nelson,et al.  Dementia: The Estimation of Premorbid Intelligence Levels Using the New Adult Reading Test , 1978, Cortex.

[36]  Yaakov Stern,et al.  Cognitive reserve: Implications for diagnosis and prevention of Alzheimer’s disease , 2004, Current Neurology and Neuroscience Reports.

[37]  M. Yamazaki,et al.  An event-related fMRI study of the Stroop task , 2007, Clinical Neurophysiology.

[38]  Yaakov Stern,et al.  A forward application of age associated gray and white matter networks , 2008, Human brain mapping.

[39]  Karl J. Friston,et al.  Cerebral Asymmetry and the Effects of Sex and Handedness on Brain Structure: A Voxel-Based Morphometric Analysis of 465 Normal Adult Human Brains , 2001, NeuroImage.

[40]  Robert H. Paul,et al.  The relationship between frontal gray matter volume and cognition varies across the healthy adult lifespan. , 2006, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[41]  P. Baltes,et al.  Emergence of a powerful connection between sensory and cognitive functions across the adult life span: a new window to the study of cognitive aging? , 1997, Psychology and aging.

[42]  Dc Washington.  Diagnostic and Statistical Manual of Mental Disorders, 4th Ed. , 1994 .

[43]  M. Manosevitz,et al.  High-Speed Scanning in Human Memory , 2022 .

[44]  Richard S. J. Frackowiak,et al.  The neural correlates of the verbal component of working memory , 1993, Nature.

[45]  Roberto Cabeza,et al.  Aging Gracefully: Compensatory Brain Activity in High-Performing Older Adults , 2002, NeuroImage.

[46]  N. Raz,et al.  Differential Aging of the Brain: Patterns, Cognitive Correlates and Modifiers , 2022 .

[47]  Karl J. Friston,et al.  Unified segmentation , 2005, NeuroImage.

[48]  Karl J. Friston,et al.  Multisubject fMRI Studies and Conjunction Analyses , 1999, NeuroImage.

[49]  I A Shevelev,et al.  [Functional brain mapping]. , 1987, Uspekhi fiziologicheskikh nauk.

[50]  Norman W. Kettner,et al.  The Functional Neuroanatomy of Pain Perception , 2008 .

[51]  Yaakov Stern,et al.  An event-related fMRI study of the neural networks underlying the encoding, maintenance, and retrieval phase in a delayed-match-to-sample task. , 2005, Brain research. Cognitive brain research.

[52]  T. Klingberg,et al.  Common and unique components of inhibition and working memory: An fMRI, within-subjects investigation , 2008, Neuropsychologia.

[53]  J. Logan,et al.  Under-Recruitment and Nonselective Recruitment Dissociable Neural Mechanisms Associated with Aging , 2002, Neuron.

[54]  Tor D. Wager,et al.  Common and unique components of response inhibition revealed by fMRI , 2005, NeuroImage.

[55]  Yaakov Stern,et al.  Structural MRI covariance patterns associated with normal aging and neuropsychological functioning , 2007, Neurobiology of Aging.

[56]  Faith M. Gunning-Dixon,et al.  Neuroanatomical correlates of cognitive aging: evidence from structural magnetic resonance imaging. , 1998, Neuropsychology.

[57]  Cheryl L. Dahle,et al.  Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. , 2005, Cerebral cortex.

[58]  Karl J. Friston,et al.  Characterizing the Response of PET and fMRI Data Using Multivariate Linear Models , 1997, NeuroImage.

[59]  E. Zarahn.  Testing for Neural Responses during Temporal Components of Trials with BOLD fMRI , 2000, NeuroImage.