Structural and Functional Changes in Subcortical Vascular Mild Cognitive Impairment: A Combined Voxel-Based Morphometry and Resting-State fMRI Study

The present study aimed to investigate changes in structural gray matter (GM) volume and functional amplitude of spontaneous low-frequency oscillations (LFO) and functional connectivity density in patients with subcortical vascular mild cognitive impairment (svMCI). Structural MRI and resting-sate functional MRI data were collected from 26 svMCI patients and 28 age- and gender-matched healthy controls. Structurally, widespread GM atrophy was found in the svMCI patients that resided primarily in frontal (e.g., the superior and middle frontal gyri and medial prefrontal cortex) and temporal (the superior and inferior temporal gyri) brain regions as well as several subcortical brain sites (e.g., the thalamus and the caudate). Functionally, svMCI-related changes were predominantly found in the default mode network (DMN). Compared with the healthy controls, the svMCI patients exhibited decreased LFO amplitudes in the anterior part of the DMN (e.g., the medial prefrontal cortex), whereas increased LFO amplitudes in the posterior part of the DMN (e.g., the posterior cingulate/precuneus). As for functional connectivity density, the DMN regions (e.g., the posterior cingulate/precuneus, the medial prefrontal cortex and the middle temporal gyrus) consistently exhibited decreased functional connectivity. Finally, the overall patterns of functional alterations in LFO amplitudes and functional connectivity density remained little changed after controlling for structural GM volume losses, which suggests that functional abnormalities can be only partly explained by morphological GM volume changes. Together, our results indicate that svMCI patients exhibit widespread abnormalities in both structural GM volume and functional intrinsic brain activity, which have important implications in understanding the pathophysiological mechanism of svMCI.

[1]  C. Frith,et al.  Meeting of minds: the medial frontal cortex and social cognition , 2006, Nature Reviews Neuroscience.

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

[3]  G. Frisoni,et al.  Mild cognitive impairment with subcortical vascular features: clinical characteristics and outcome. , 2002, Journal of neurology.

[4]  G. Chételat,et al.  [The default mode network: cognitive role and pathological disturbances]. , 2010, Revue neurologique.

[5]  M. Fox,et al.  Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging , 2007, Nature Reviews Neuroscience.

[6]  J. Alvarez,et al.  Executive Function and the Frontal Lobes: A Meta-Analytic Review , 2006, Neuropsychology Review.

[7]  Xi-Nian Zuo,et al.  Reliable intrinsic connectivity networks: Test–retest evaluation using ICA and dual regression approach , 2010, NeuroImage.

[8]  H. Moser,et al.  Imaging cortical association tracts in the human brain using diffusion‐tensor‐based axonal tracking , 2002, Magnetic resonance in medicine.

[9]  B. Biswal,et al.  Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.

[10]  D. Delis,et al.  Quantification of five neuropsychological approaches to defining mild cognitive impairment. , 2009, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[11]  D. Braff,et al.  Self-monitoring enhances Wisconsin Card Sorting Test performance in patients with schizophrenia: Performance is improved by simply asking patients to verbalize their sorting strategy , 2001, Journal of the International Neuropsychological Society.

[12]  M. Lowe,et al.  Functional Connectivity in Single and Multislice Echoplanar Imaging Using Resting-State Fluctuations , 1998, NeuroImage.

[13]  Yong He,et al.  Spatial patterns of intrinsic brain activity in mild cognitive impairment and alzheimer's disease: A resting‐state functional MRI study , 2011, Human brain mapping.

[14]  P. Roland,et al.  Estimation of the Probabilities of 3D Clusters in Functional Brain Images , 1998, NeuroImage.

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

[16]  S. Debener,et al.  Default-mode brain dysfunction in mental disorders: A systematic review , 2009, Neuroscience & Biobehavioral Reviews.

[17]  Xi-Nian Zuo,et al.  REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing , 2011, PloS one.

[18]  S. Cho,et al.  Subcortical Vascular versus Amnestic Mild Cognitive Impairment: Comparison of Cerebral Glucose Metabolism , 2009, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[19]  Kenneth Rockwood,et al.  Variations in case definition affect prevalence but not outcomes of mild cognitive impairment , 2003, Neurology.

[20]  N. Kanwisher,et al.  The Generality of Parietal Involvement in Visual Attention , 1999, Neuron.

[21]  Erminia Mariani,et al.  Conversion of Mild Cognitive Impairment to Dementia: Predictive Role of Mild Cognitive Impairment Subtypes and Vascular Risk Factors , 2005, Dementia and Geriatric Cognitive Disorders.

[22]  Xiangyu Long,et al.  Functional segmentation of the brain cortex using high model order group PICA , 2009, Human brain mapping.

[23]  Sang Won Seo,et al.  Cortical Thinning in Vascular Mild Cognitive Impairment and Vascular Dementia of Subcortical Type , 2010, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[24]  C. Antunez,et al.  Is There a Specific Pattern of Attention Deficit in Mild Cognitive Impairment with Subcortical Vascular Features? Evidence from the Attention Network Test , 2011, Dementia and Geriatric Cognitive Disorders.

[25]  B. Biswal,et al.  Functional connectivity of default mode network components: Correlation, anticorrelation, and causality , 2009, Human brain mapping.

[26]  Yong He,et al.  Graph Theoretical Analysis of Functional Brain Networks: Test-Retest Evaluation on Short- and Long-Term Resting-State Functional MRI Data , 2011, PloS one.

[27]  Peter Fransson,et al.  The precuneus/posterior cingulate cortex plays a pivotal role in the default mode network: Evidence from a partial correlation network analysis , 2008, NeuroImage.

[28]  Geoffrey Bird,et al.  Atypical recruitment of medial prefrontal cortex in autism spectrum disorders: An fMRI study of two executive function tasks , 2008, Neuropsychologia.

[29]  K. Rockwood,et al.  Vascular cognitive impairment: current concepts and clinical developments , 2008, The Lancet Neurology.

[30]  M. Nieuwenstein,et al.  Relationship between symptom dimensions and neurocognitive functioning in schizophrenia: a meta-analysis of WCST and CPT studies. Wisconsin Card Sorting Test. Continuous Performance Test. , 2001, Journal of psychiatric research.

[31]  Yong He,et al.  Erratum to “Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI” [Brain Develop 29 (2) (2007) 83–91] , 2012, Brain and Development.

[32]  S. DeKosky,et al.  Mild cognitive impairment, amnestic type , 2004, Neurology.

[33]  Catherine Jones Wisconsin card sorting test , 2013 .

[34]  P. Fransson Spontaneous low‐frequency BOLD signal fluctuations: An fMRI investigation of the resting‐state default mode of brain function hypothesis , 2005, Human brain mapping.

[35]  Tianzi Jiang,et al.  Regional coherence changes in the early stages of Alzheimer’s disease: A combined structural and resting-state functional MRI study , 2007, NeuroImage.

[36]  R. Petersen Mild cognitive impairment as a diagnostic entity , 2004, Journal of internal medicine.

[37]  F. Eustache,et al.  [The default mode network: cognitive role and pathological disturbances]. , 2010, Revue neurologique.

[38]  J. Jeong,et al.  Relationships between 24-Hour Blood Pressures, Subcortical Ischemic Lesions, and Cognitive Impairment , 2009, Journal of clinical neurology.

[39]  Karl Herholz,et al.  18FDG PET in Vascular Dementia: Differentiation from Alzheimer's Disease Using Voxel-Based Multivariate Analysis , 2006, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[40]  M. Greicius Resting-state functional connectivity in neuropsychiatric disorders , 2008, Current opinion in neurology.

[41]  Alan C. Evans,et al.  Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans , 2009, PloS one.

[42]  Hiromitsu Iwamoto,et al.  Incidence and risk factors of vascular dementia and Alzheimer's disease in a defined elderly Japanese population , 1995, Neurology.

[43]  Nathalie Boddaert,et al.  Autism, the superior temporal sulcus and social perception , 2006, Trends in Neurosciences.

[44]  John Ashburner,et al.  A fast diffeomorphic image registration algorithm , 2007, NeuroImage.

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

[46]  G. Shulman,et al.  Medial prefrontal cortex and self-referential mental activity: Relation to a default mode of brain function , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[47]  D. A. Bennett,et al.  Natural history of mild cognitive impairment in older persons , 2002, Neurology.

[48]  Yan Zhou,et al.  Abnormal functional connectivity in patients with vascular cognitive impairment, no dementia: A resting-state functional magnetic resonance imaging study , 2011, Behavioural Brain Research.

[49]  M. Weiner,et al.  Cortical thinning related to periventricular and deep white matter hyperintensities , 2012, Neurobiology of Aging.

[50]  R. Zatorre,et al.  When that tune runs through your head: a PET investigation of auditory imagery for familiar melodies. , 1999, Cerebral cortex.

[51]  Vinod Menon,et al.  Functional connectivity in the resting brain: A network analysis of the default mode hypothesis , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[52]  M. Raichle,et al.  Disease and the brain's dark energy , 2010, Nature Reviews Neurology.

[53]  Jeffrey S. Bedwell,et al.  Continuous Performance Test , 2012 .

[54]  Yong He,et al.  Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. , 2007, Brain & development.

[55]  Paul A. Viola,et al.  Multi-modal volume registration by maximization of mutual information , 1996, Medical Image Anal..

[56]  Sara Rosenblum,et al.  Neuropsychological prediction of conversion to Alzheimer disease in patients with mild cognitive impairment. , 2006, Archives of general psychiatry.

[57]  A Voxel-based Morphometric Analysis of Cerebral Gray Matter in Subcortical Ischemic Vascular Dementia Patients and Normal Aged Controls , 2011, International journal of medical sciences.

[58]  G. Frisoni,et al.  Mild cognitive impairment with subcortical vascular features , 2002, Journal of Neurology.

[59]  Ying Han,et al.  Frequency-dependent changes in the amplitude of low-frequency fluctuations in amnestic mild cognitive impairment: A resting-state fMRI study , 2011, NeuroImage.

[60]  M. Greicius,et al.  Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI , 2004, Proc. Natl. Acad. Sci. USA.

[61]  J. Jia,et al.  A screen for cognitive assessments for patients with vascular cognitive impairment no dementia , 2009, International journal of geriatric psychiatry.

[62]  H. Chui,et al.  Subcortical ischaemic vascular dementia , 2002, The Lancet Neurology.

[63]  D. Na,et al.  Voxel‐Based Analysis of Diffusion Tensor Imaging in Patients with Subcortical Vascular Cognitive Impairment: Correlates with Cognitive and Motor Deficits , 2011, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[64]  R. Mayeux,et al.  Implementing diagnostic criteria and estimating frequency of mild cognitive impairment in an urban community. , 2005, Archives of neurology.

[65]  J. A. Frost,et al.  Conceptual Processing during the Conscious Resting State: A Functional MRI Study , 1999, Journal of Cognitive Neuroscience.

[66]  Giovanni B. Frisoni,et al.  Distinctive Clinical Features of Mild Cognitive Impairment with Subcortical Cerebrovascular Disease , 2005, Dementia and Geriatric Cognitive Disorders.

[67]  G C Roman,et al.  Research criteria for subcortical vascular dementia in clinical trials. , 2000, Journal of neural transmission. Supplementum.

[68]  Y. Zang,et al.  Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI , 2007, Brain and Development.

[69]  J. Morris,et al.  Mild cognitive impairment as a clinical entity and treatment target. , 2005, Archives of neurology.