Subclinical cognitive decline in middle‐age is associated with reduced task‐induced deactivation of the brain's default mode network

Cognitive abilities decline with age, but with considerable individual variation. The neurobiological correlate of this variation is not well described. Functional brain imaging studies have demonstrated reduced task‐induced deactivation (TID) of the brain's default mode network (DMN) in a wide range of neurodegenerative diseases involving cognitive symptoms, in conditions with increased risk of Alzheimer's disease, and even in advanced but healthy aging. Here, we investigated brain activation and deactivation during a visual‐motor task in 185 clinically healthy males from a Danish birth cohort, whose cognitive function was assessed in youth and midlife. Using each individual as his own control, we defined a group with a large degree of cognitive decline, and a control group. When correcting for effects of total cerebral blood flow and hemoglobin level, we found reduced TID in the posterior region of the DMN in the cognitive decline group compared to the control group. Furthermore, increased visual activation response was found in the cognitive decline group, indicating that the TID reduction was not exclusively due to overall impaired vascular reactivity. These results suggest a neurobiological basis for subclinical cognitive decline in late midlife, which includes TID alterations similar to the pattern seen in patients with AD and mild cognitive impairment. Hence, TID reduction might be suggested as an early marker for subtle cognitive decline in aging. Hum Brain Mapp 35:4488–4498, 2014. © 2014 Wiley Periodicals, Inc.

[1]  Jeroen van der Grond,et al.  Imaging the default mode network in aging and dementia. , 2012, Biochimica et biophysica acta.

[2]  John A. E. Anderson,et al.  A multivariate analysis of age-related differences in default mode and task-positive networks across multiple cognitive domains. , 2010, Cerebral cortex.

[3]  C. Frith,et al.  Does “Task Difficulty” Explain “Task-Induced Deactivation?” , 2012, Front. Psychology.

[4]  P. Boesiger,et al.  GABA concentrations in the human anterior cingulate cortex predict negative BOLD responses in fMRI , 2007, Nature Neuroscience.

[5]  A. Lundervold,et al.  Subthreshold Depressive Symptoms have a Negative Impact on Cognitive Functioning in Middle-Aged and Older Males , 2013, Front. Psychol..

[6]  P M Matthews,et al.  Altered Hemodynamic Responses in Patients After Subcortical Stroke Measured by Functional MRI , 2002, Stroke.

[7]  Beatriz Bosch,et al.  Cognitive reserve modulates task-induced activations and deactivations in healthy elders, amnestic mild cognitive impairment and mild Alzheimer's disease , 2010, Cortex.

[8]  Richard B. Buxton,et al.  Resting-state BOLD networks versus task-associated functional MRI for distinguishing Alzheimer's disease risk groups , 2009, NeuroImage.

[9]  Stephen M. Smith,et al.  General multilevel linear modeling for group analysis in FMRI , 2003, NeuroImage.

[10]  K Warner Schaie,et al.  The Seattle Longitudinal Study: Relationship Between Personality and Cognition , 2004, Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition.

[11]  J. Morris,et al.  Functional deactivations: Change with age and dementia of the Alzheimer type , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Cornelius Weiller,et al.  The influence of extra- and intracranial artery disease on the BOLD signal in FMRI , 2003, NeuroImage.

[13]  D. Schacter,et al.  The Brain's Default Network , 2008, Annals of the New York Academy of Sciences.

[14]  S. Rombouts,et al.  Altered resting state networks in mild cognitive impairment and mild Alzheimer's disease: An fMRI study , 2005, Human brain mapping.

[15]  G L Shulman,et al.  INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .

[16]  C. Brayne The elephant in the room — healthy brains in later life, epidemiology and public health , 2007, Nature Reviews Neuroscience.

[17]  VESSEL-REACTIVITY-CORRECTED FMRI REVEALS NOVEL PATTERNS OF AGE-RELATED CHANGES IN BRAIN ACTIVITY , 2011 .

[18]  Ian J Deary,et al.  Stability and change in intelligence from age 11 to ages 70, 79, and 87: the Lothian Birth Cohorts of 1921 and 1936. , 2011, Psychology and aging.

[19]  A. Andersen,et al.  Cohort profile: the Metropolit 1953 Danish male birth cohort. , 2006, International journal of epidemiology.

[20]  Nick C Fox,et al.  The Diagnosis of Mild Cognitive Impairment due to Alzheimer’s Disease: Recommendations from the National Institute on Aging-Alzheimer’s Association Workgroups on Diagnostic Guidelines for Alzheimer’s Disease , 2011 .

[21]  Anthony Randal McIntosh,et al.  Age-related Changes in Brain Activity across the Adult Lifespan , 2006, Journal of Cognitive Neuroscience.

[22]  E. L. Mortensen,et al.  Socio-economic position early in life, cognitive development and cognitive change from young adulthood to middle age. , 2013, European journal of public health.

[23]  Heinrich H. Bülthoff,et al.  Visual capture and the experience of having two bodies – Evidence from two different virtual reality techniques , 2013, Front. Psychol..

[24]  Mark E. Schmidt,et al.  The Alzheimer’s Disease Neuroimaging Initiative: A review of papers published since its inception , 2012, Alzheimer's & Dementia.

[25]  Michael Brady,et al.  Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.

[26]  Mark W. Woolrich,et al.  Multilevel linear modelling for FMRI group analysis using Bayesian inference , 2004, NeuroImage.

[27]  J. Binder,et al.  A Parametric Manipulation of Factors Affecting Task-induced Deactivation in Functional Neuroimaging , 2003, Journal of Cognitive Neuroscience.

[28]  Maija Pihlajamäki,et al.  Functional MRI Assessment of Task-Induced Deactivation of the Default Mode Network in Alzheimer’s Disease and At-Risk Older Individuals , 2009, Behavioural neurology.

[29]  Xiangrui Li,et al.  Decreased proportion of GABA neurons accompanies age-related degradation of neuronal function in cat striate cortex , 2008, Brain Research Bulletin.

[30]  Ian J Deary,et al.  Are processing speed tasks biomarkers of cognitive aging? , 2010, Psychology and aging.

[31]  Stephen M. Smith,et al.  Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data , 2001, NeuroImage.

[32]  Justin L. Vincent,et al.  Disruption of Large-Scale Brain Systems in Advanced Aging , 2007, Neuron.

[33]  L. Nyberg,et al.  Altered deactivation in individuals with genetic risk for Alzheimer's disease , 2008, Neuropsychologia.

[34]  Vince D. Calhoun,et al.  Alterations in Memory Networks in Mild Cognitive Impairment and Alzheimer's Disease: An Independent Component Analysis , 2006, The Journal of Neuroscience.

[35]  M. Corbetta,et al.  Common Blood Flow Changes across Visual Tasks: II. Decreases in Cerebral Cortex , 1997, Journal of Cognitive Neuroscience.

[36]  T. Teasdale,et al.  The reliability and validity of the Danish Draft Board Cognitive Ability Test: Børge Prien's Prøve. , 2011, Scandinavian journal of psychology.

[37]  M. Greicius,et al.  Default-Mode Activity during a Passive Sensory Task: Uncoupled from Deactivation but Impacting Activation , 2004, Journal of Cognitive Neuroscience.

[38]  Peter Jezzard,et al.  Baseline GABA concentration and fMRI response , 2010, NeuroImage.

[39]  Randolph C. Arnau,et al.  Psychometric evaluation of the Beck Depression Inventory-II with primary care medical patients. , 2001, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[40]  T. Kirkwood Gerontology: Healthy old age , 2008, Nature.

[41]  Huiquan Wang,et al.  Edited magnetic resonance spectroscopy detects an age-related decline in brain GABA levels , 2013, NeuroImage.

[42]  M. Raichle,et al.  Searching for a baseline: Functional imaging and the resting human brain , 2001, Nature Reviews Neuroscience.

[43]  Mark W. Woolrich,et al.  Robust group analysis using outlier inference , 2008, NeuroImage.

[44]  Stephen M Smith,et al.  Fast robust automated brain extraction , 2002, Human brain mapping.

[45]  S. Muthukumaraswamy,et al.  Individual variability in the shape and amplitude of the BOLD‐HRF correlates with endogenous GABAergic inhibition , 2012, Human brain mapping.

[46]  M. Jenkinson Non-linear registration aka Spatial normalisation , 2007 .

[47]  J. Gabrieli,et al.  Insights into the ageing mind: a view from cognitive neuroscience , 2004, Nature Reviews Neuroscience.

[48]  Keith A. Johnson,et al.  Amyloid Deposition Is Associated with Impaired Default Network Function in Older Persons without Dementia , 2009, Neuron.