Three subsystems of the inferior parietal cortex are differently affected in mild cognitive impairment.

The Inferior parietal cortex (IPC), including the intraparietal sulcus (IPS), angular gyrus (AG), and supramarginal gyrus (SG), plays an important role in episodic memory, and is considered to be one of the specific neuroimaging markers in predicting the conversion of mild cognitive impairment (MCI) to Alzheimer's disease (AD). However, it is still unclear whether the connectivity of the IPC is impaired in MCI patients. In the present study, we used resting state fMRI to examine the functional connectivity of the three subdivisions of the IPC in MCI patients after controlling the impact of regional grey matter atrophy. It was found that, using IPS, AG, and SG as seeds of functional connectivity, three canonical functional networks could be correspondingly traced, i.e., executive control network (ECN), default mode network (DMN), and salience network (SN), and the three networks are differently altered in MCI patients. In contrast to the healthy controls, it was found that in MCI patients: 1) AG connectivity was significantly reduced within the DMN; 2) IPS showed decreased connectivity with the right inferior frontal gyrus while showing increased connectivity with the left frontal regions within the ECN; and 3) SG displayed decreased connectivity with a distribution of regions including the frontal and parietal regions, and increased connectivity with some sub-cortical areas within the SN. Moreover, the connectivity within the three networks was correlated with episodic memory and general cognitive impairment in MCI patients. These results extend well beyond the DMN, and further suggest that MCI is associated with alteration of large-scale functional brain networks.

[1]  G. Frisoni,et al.  Resting state fMRI in Alzheimer's disease: beyond the default mode network , 2012, Neurobiology of Aging.

[2]  Anthony D Wagner,et al.  Dissociable Effects of Top-Down and Bottom-Up Attention during Episodic Encoding , 2011, The Journal of Neuroscience.

[3]  S. Heckers,et al.  Functional resting-state networks are differentially affected in schizophrenia , 2011, Schizophrenia Research.

[4]  Kuncheng Li,et al.  Functional Disconnection and Compensation in Mild Cognitive Impairment: Evidence from DLPFC Connectivity Using Resting-State fMRI , 2011, PloS one.

[5]  Marisa O. Hollinshead,et al.  The organization of the human cerebral cortex estimated by intrinsic functional connectivity. , 2011, Journal of neurophysiology.

[6]  Paolo Bartolomeo,et al.  Dorsal and Ventral Parietal Contributions to Spatial Orienting in the Human Brain , 2011, The Journal of Neuroscience.

[7]  M. Corbetta,et al.  Episodic Memory Retrieval, Parietal Cortex, and the Default Mode Network: Functional and Topographic Analyses , 2011, The Journal of Neuroscience.

[8]  N. Kabani,et al.  Task switching performance reveals heterogeneity amongst patients with mild cognitive impairment. , 2010, Neuropsychology.

[9]  Kenneth Hugdahl,et al.  Identification of attention and cognitive control networks in a parametric auditory fMRI study , 2010, Neuropsychologia.

[10]  B. T. Thomas Yeo,et al.  The Organization of Local and Distant Functional Connectivity in the Human Brain , 2010, PLoS Comput. Biol..

[11]  Li Yao,et al.  Impairment and compensation coexist in amnestic MCI default mode network , 2010, NeuroImage.

[12]  Sanghoon Han,et al.  The Inferior Parietal Lobule and Recognition Memory: Expectancy Violation or Successful Retrieval? , 2010, The Journal of Neuroscience.

[13]  Richard J. S. Wise,et al.  The Contribution of the Parietal Lobes to Speaking and Writing , 2009, Cerebral cortex.

[14]  Martin Wiener,et al.  Fast Forward: Supramarginal Gyrus Stimulation Alters Time Measurement , 2010, Journal of Cognitive Neuroscience.

[15]  William W. Graves,et al.  Where is the semantic system? A critical review and meta-analysis of 120 functional neuroimaging studies. , 2009, Cerebral cortex.

[16]  Zhijun Zhang,et al.  Abnormal resting-state functional connectivity of posterior cingulate cortex in amnestic type mild cognitive impairment , 2009, Brain Research.

[17]  M. Bondi,et al.  Heterogeneity in mild cognitive impairment: Differences in neuropsychological profile and associated white matter lesion pathology , 2009, Journal of the International Neuropsychological Society.

[18]  Joseph T. Devlin,et al.  Supramarginal gyrus involvement in visual word recognition , 2009, Cortex.

[19]  Matthias L. Schroeter,et al.  Neural correlates of Alzheimer's disease and mild cognitive impairment: A systematic and quantitative meta-analysis involving 1351 patients , 2009, NeuroImage.

[20]  Li Shen,et al.  Baseline MRI Predictors of Conversion from MCI to Probable AD in the ADNI Cohort , 2009, Current Alzheimer research.

[21]  S. Dehaene,et al.  Representation of number in the brain. , 2009, Annual review of neuroscience.

[22]  M. Chun,et al.  Selecting and perceiving multiple visual objects , 2009, Trends in Cognitive Sciences.

[23]  Keith A. Johnson,et al.  Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease , 2009, The Journal of Neuroscience.

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

[25]  Frederik Barkhof,et al.  Model‐free group analysis shows altered BOLD FMRI networks in dementia , 2009, Human brain mapping.

[26]  Justin L. Vincent,et al.  Evidence for a frontoparietal control system revealed by intrinsic functional connectivity. , 2008, Journal of neurophysiology.

[27]  T. Paus,et al.  Functional coactivation map of the human brain. , 2008, Cerebral cortex.

[28]  Jim M. Monti,et al.  Neural Integration of Top-Down Spatial and Feature-Based Information in Visual Search , 2008, The Journal of Neuroscience.

[29]  Nick C Fox,et al.  Amnestic Mild Cognitive Impairment: Structural MR Imaging Findings Predictive of Conversion to Alzheimer Disease , 2008, American Journal of Neuroradiology.

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

[31]  C. Jack,et al.  MRI patterns of atrophy associated with progression to AD in amnestic mild cognitive impairment , 2008, Neurology.

[32]  Maija Pihlajamäki,et al.  Increased fMRI responses during encoding in mild cognitive impairment , 2007, Neurobiology of Aging.

[33]  V. Calhoun,et al.  Selective changes of resting-state networks in individuals at risk for Alzheimer's disease , 2007, Proceedings of the National Academy of Sciences.

[34]  Justin L. Vincent,et al.  Distinct brain networks for adaptive and stable task control in humans , 2007, Proceedings of the National Academy of Sciences.

[35]  Yuan Zhou,et al.  Functional dysconnectivity of the dorsolateral prefrontal cortex in first-episode schizophrenia using resting-state fMRI , 2007, Neuroscience Letters.

[36]  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.

[37]  G. Glover,et al.  Dissociable Intrinsic Connectivity Networks for Salience Processing and Executive Control , 2007, The Journal of Neuroscience.

[38]  Moo K. Chung,et al.  Integrating VBM into the General Linear Model with voxelwise anatomical covariates , 2007, NeuroImage.

[39]  Benjamin J. Shannon,et al.  Coherent spontaneous activity identifies a hippocampal-parietal memory network. , 2006, Journal of neurophysiology.

[40]  Imaging the earliest stages of Alzheimer's disease. , 2006, Current Alzheimer research.

[41]  Daniel Ansari,et al.  Age-related Changes in the Activation of the Intraparietal Sulcus during Nonsymbolic Magnitude Processing: An Event-related Functional Magnetic Resonance Imaging Study , 2006, Journal of Cognitive Neuroscience.

[42]  M. Filippi,et al.  The contribution of voxel-based morphometry in staging patients with mild cognitive impairment , 2006, Neurology.

[43]  Stephen M. Smith,et al.  fMRI resting state networks define distinct modes of long-distance interactions in the human brain , 2006, NeuroImage.

[44]  Maro G. Machizawa,et al.  Neural measures reveal individual differences in controlling access to working memory , 2005, Nature.

[45]  Zuzana Walker,et al.  Imaging in neurodegenerative disorders: recent studies , 2005, Current opinion in psychiatry.

[46]  Brigitte Landeau,et al.  Using voxel-based morphometry to map the structural changes associated with rapid conversion in MCI: A longitudinal MRI study , 2005, NeuroImage.

[47]  M. Chong,et al.  Preclinical Alzheimer's disease: diagnosis and prediction of progression , 2005, The Lancet Neurology.

[48]  Maurizio Corbetta,et al.  The human brain is intrinsically organized into dynamic, anticorrelated functional networks. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

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

[50]  G. Frisoni,et al.  A voxel based morphometry study on mild cognitive impairment , 2004, Journal of Neurology, Neurosurgery & Psychiatry.

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

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

[53]  Stanislas Dehaene,et al.  Arithmetic and the Brain This Review Comes from a Themed Issue on Cognitive Neuroscience Edited the Intraparietal Sulcus and Number Sense Number Sense in the Animal Brain , 2022 .

[54]  J. Mattingley,et al.  Fast and slow parietal pathways mediate spatial attention , 2004, Nature Neuroscience.

[55]  Heinrich Lanfermann,et al.  Enactment effect in memory: evidence concerning the function of the supramarginal gyrus , 2003, Experimental Brain Research.

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

[57]  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.

[58]  J. Baron,et al.  Mapping gray matter loss with voxel-based morphometry in mild cognitive impairment , 2002, Neuroreport.

[59]  J. Downar,et al.  A cortical network sensitive to stimulus salience in a neutral behavioral context across multiple sensory modalities. , 2002, Journal of neurophysiology.

[60]  J. Morris,et al.  Current concepts in mild cognitive impairment. , 2001, Archives of neurology.

[61]  J. Baron,et al.  In Vivo Mapping of Gray Matter Loss with Voxel-Based Morphometry in Mild Alzheimer's Disease , 2001, NeuroImage.

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

[63]  R. Goebel,et al.  The functional neuroanatomy of target detection: an fMRI study of visual and auditory oddball tasks. , 1999, Cerebral cortex.

[64]  E. Tangalos,et al.  Mild Cognitive Impairment Clinical Characterization and Outcome , 1999 .

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

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