Differentially disrupted functional connectivity of the subregions of the inferior parietal lobule in Alzheimer’s disease

[1]  Qurat ul Ain Khan,et al.  Mild Cognitive Impairment and Alzheimer Disease , 2015 .

[2]  Yong He,et al.  BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics , 2013, PloS one.

[3]  Yong He,et al.  Disrupted Functional Brain Connectome in Individuals at Risk for Alzheimer's Disease , 2013, Biological Psychiatry.

[4]  A. Schleicher,et al.  Organization of the Human Inferior Parietal Lobule Based on Receptor Architectonics , 2012, Cerebral cortex.

[5]  H. Hanyu,et al.  Regional differences in cortical benzodiazepine receptors of Alzheimer, vascular, and mixed dementia patients , 2012, Journal of the Neurological Sciences.

[6]  Yu Zhang,et al.  Tractography‐based parcellation of the human left inferior parietal lobule , 2012, NeuroImage.

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

[8]  J. Morris,et al.  Loss of Intranetwork and Internetwork Resting State Functional Connections with Alzheimer's Disease Progression , 2012, The Journal of Neuroscience.

[9]  R. Miledi,et al.  Loss of functional GABAA receptors in the Alzheimer diseased brain , 2012, Proceedings of the National Academy of Sciences.

[10]  Ying Xia,et al.  Neurotransmitter receptors and cognitive dysfunction in Alzheimer's disease and Parkinson's disease , 2012, Progress in Neurobiology.

[11]  Yong He,et al.  Topologically Convergent and Divergent Structural Connectivity Patterns between Patients with Remitted Geriatric Depression and Amnestic Mild Cognitive Impairment , 2012, The Journal of Neuroscience.

[12]  R. Honea,et al.  Evidence of Altered Corticomotor System Connectivity in Early-Stage Alzheimer's Disease , 2012, Journal of neurologic physical therapy : JNPT.

[13]  Mark A. Elliott,et al.  Impact of in-scanner head motion on multiple measures of functional connectivity: Relevance for studies of neurodevelopment in youth , 2012, NeuroImage.

[14]  Kuncheng Li,et al.  Changes in thalamus connectivity in mild cognitive impairment: evidence from resting state fMRI. , 2012, European journal of radiology.

[15]  Yong He,et al.  Discriminative analysis of early Alzheimer's disease using multi-modal imaging and multi-level characterization with multi-classifier (M3) , 2012, NeuroImage.

[16]  Abraham Z. Snyder,et al.  Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion , 2012, NeuroImage.

[17]  J. Jolles,et al.  Functional integration of parietal lobe activity in early Alzheimer disease , 2012, Neurology.

[18]  Dost Öngür,et al.  Anticorrelations in resting state networks without global signal regression , 2012, NeuroImage.

[19]  Mert R. Sabuncu,et al.  The influence of head motion on intrinsic functional connectivity MRI , 2012, NeuroImage.

[20]  Kaustubh Supekar,et al.  Dynamic Reconfiguration of Structural and Functional Connectivity Across Core Neurocognitive Brain Networks with Development , 2011, The Journal of Neuroscience.

[21]  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.

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

[23]  Nadim Joni Shah,et al.  Probabilistic fibre tract analysis of cytoarchitectonically defined human inferior parietal lobule areas reveals similarities to macaques , 2011, NeuroImage.

[24]  G. Frisoni,et al.  Functional network disruption in the degenerative dementias , 2011, The Lancet Neurology.

[25]  Frank M LaFerla,et al.  Loss of muscarinic M1 receptor exacerbates Alzheimer's disease-like pathology and cognitive decline. , 2011, The American journal of pathology.

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

[27]  P. Dodd,et al.  Post-synaptic scaffolding protein interactions with glutamate receptors in synaptic dysfunction and Alzheimer's disease , 2011, Progress in Neurobiology.

[28]  Paul M. Thompson,et al.  APOE4 is associated with greater atrophy of the hippocampal formation in Alzheimer's disease , 2011, NeuroImage.

[29]  Timothy Edward John Behrens,et al.  Diffusion-Weighted Imaging Tractography-Based Parcellation of the Human Parietal Cortex and Comparison with Human and Macaque Resting-State Functional Connectivity , 2011, The Journal of Neuroscience.

[30]  Jelle Jolles,et al.  Atrophy of the parietal lobe in preclinical dementia , 2011, Brain and Cognition.

[31]  Alan C. Evans,et al.  Growing Together and Growing Apart: Regional and Sex Differences in the Lifespan Developmental Trajectories of Functional Homotopy , 2010, The Journal of Neuroscience.

[32]  Nick C Fox,et al.  Revising the definition of Alzheimer's disease: a new lexicon , 2010, The Lancet Neurology.

[33]  Michelle Hampson,et al.  Functional connectivity between task-positive and task-negative brain areas and its relation to working memory performance. , 2010, Magnetic resonance imaging.

[34]  R. Killiany,et al.  Subregions of the inferior parietal lobule are affected in the progression to Alzheimer's disease , 2010, Neurobiology of Aging.

[35]  Zhi-jun Zhang,et al.  Resting brain connectivity: changes during the progress of Alzheimer disease. , 2010, Radiology.

[36]  Y. Michotte,et al.  Astrocytic β2-adrenergic receptors: From physiology to pathology , 2010, Progress in Neurobiology.

[37]  Yufeng Zang,et al.  DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI , 2010 .

[38]  F. Barrantes,et al.  Neuronal nicotinic acetylcholine receptor–cholesterol crosstalk in Alzheimer's disease , 2010, FEBS letters.

[39]  Chaogan Yan,et al.  DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI , 2010, Front. Syst. Neurosci..

[40]  K. Amunts,et al.  Centenary of Brodmann's Map — Conception and Fate , 2022 .

[41]  A. Dale,et al.  Combining MR Imaging, Positron-Emission Tomography, and CSF Biomarkers in the Diagnosis and Prognosis of Alzheimer Disease , 2010, American Journal of Neuroradiology.

[42]  Kuncheng Li,et al.  Voxel-based assessment of gray and white matter volumes in Alzheimer's disease , 2010, Neuroscience Letters.

[43]  M. Filippi,et al.  Sensorimotor network rewiring in mild cognitive impairment and Alzheimer's disease , 2009, Human brain mapping.

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

[45]  Christian Keysers,et al.  Expanding the mirror: vicarious activity for actions, emotions, and sensations , 2009, Current Opinion in Neurobiology.

[46]  R. Sperling,et al.  Large-Scale Functional Brain Network Abnormalities in Alzheimer’s Disease: Insights from Functional Neuroimaging , 2009, Behavioural neurology.

[47]  Rupert Lanzenberger,et al.  Correlations and anticorrelations in resting-state functional connectivity MRI: A quantitative comparison of preprocessing strategies , 2009, NeuroImage.

[48]  G. Orban,et al.  The Representation of Tool Use in Humans and Monkeys: Common and Uniquely Human Features , 2009, The Journal of Neuroscience.

[49]  Stephen M. Rao,et al.  Semantic memory activation in individuals at risk for developing Alzheimer disease , 2009, Neurology.

[50]  M. Fox,et al.  The global signal and observed anticorrelated resting state brain networks. , 2009, Journal of neurophysiology.

[51]  B. Miller,et al.  Neurodegenerative Diseases Target Large-Scale Human Brain Networks , 2009, Neuron.

[52]  James T Becker,et al.  Mild cognitive impairment and alzheimer disease: patterns of altered cerebral blood flow at MR imaging. , 2009, Radiology.

[53]  B T Hyman,et al.  Temporoparietal MR Imaging Measures of Atrophy in Subjects with Mild Cognitive Impairment That Predict Subsequent Diagnosis of Alzheimer Disease , 2009, American Journal of Neuroradiology.

[54]  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.

[55]  Charles D. Smith,et al.  Alzheimer's-type neuropathology in the precuneus is not increased relative to other areas of neocortex across a range of cognitive impairment , 2009, Neuroscience Letters.

[56]  Kevin Murphy,et al.  The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced? , 2009, NeuroImage.

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

[58]  M. Hallett,et al.  Motor planning, imagery, and execution in the distributed motor network: a time-course study with functional MRI. , 2008, Cerebral cortex.

[59]  K. Amunts,et al.  The human inferior parietal lobule in stereotaxic space , 2008, Brain Structure and Function.

[60]  Nicolas Costes,et al.  A distinct [18F]MPPF PET profile in amnestic mild cognitive impairment compared to mild Alzheimer's disease , 2008, NeuroImage.

[61]  M. Weiner,et al.  Reduced hippocampal functional connectivity in Alzheimer disease. , 2007, Archives of neurology.

[62]  Kuncheng Li,et al.  Altered functional connectivity in early Alzheimer's disease: A resting‐state fMRI study , 2007, Human brain mapping.

[63]  P. Scheltens,et al.  Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria , 2007, The Lancet Neurology.

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

[65]  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.

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

[67]  Thomas G Beach,et al.  Pathologic and nicotinic receptor binding differences between mild cognitive impairment, Alzheimer disease, and normal aging. , 2006, Archives of neurology.

[68]  Katrin Amunts,et al.  The human inferior parietal cortex: Cytoarchitectonic parcellation and interindividual variability , 2006, NeuroImage.

[69]  Timothy Edward John Behrens,et al.  Connection patterns distinguish 3 regions of human parietal cortex. , 2006, Cerebral cortex.

[70]  Tianzi Jiang,et al.  Changes in hippocampal connectivity in the early stages of Alzheimer's disease: Evidence from resting state fMRI , 2006, NeuroImage.

[71]  Elena Borra,et al.  Architectonic organization of the inferior parietal convexity of the macaque monkey , 2006, The Journal of comparative neurology.

[72]  E. Crone,et al.  Neural evidence for dissociable components of task-switching. , 2006, Cerebral cortex.

[73]  Richard S. J. Frackowiak,et al.  Alzheimer's patients engage an alternative network during a memory task , 2005, Annals of neurology.

[74]  M. Iacoboni Neural mechanisms of imitation , 2005, Current Opinion in Neurobiology.

[75]  Kuncheng Li,et al.  Visual attention deficits in Alzheimer's disease: an fMRI study , 2005, Neuroscience Letters.

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

[77]  D. Pandya,et al.  Segmentation of subcomponents within the superior longitudinal fascicle in humans: a quantitative, in vivo, DT-MRI study. , 2005, Cerebral cortex.

[78]  Simon B. Eickhoff,et al.  A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data , 2005, NeuroImage.

[79]  M. Esiri,et al.  Loss of serotonin 5-HT2A receptors in the postmortem temporal cortex correlates with rate of cognitive decline in Alzheimer’s disease , 2005, Psychopharmacology.

[80]  H. Xiong,et al.  Activation of NR1a/NR2B receptors by soluble factors from APP-stimulated monocyte-derived macrophages: implications for the pathogenesis of Alzheimer’s disease , 2004, Neurobiology of Aging.

[81]  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.

[82]  R. Rissman,et al.  Biochemical and molecular studies of NMDA receptor subunits NR1/2A/2B in hippocampal subregions throughout progression of Alzheimer's disease pathology , 2004, Neurobiology of Disease.

[83]  H. Braak,et al.  Neuropathological stageing of Alzheimer-related changes , 2004, Acta Neuropathologica.

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

[85]  S. Black,et al.  Evidence from Functional Neuroimaging of a Compensatory Prefrontal Network in Alzheimer's Disease , 2003, The Journal of Neuroscience.

[86]  G. Frisoni,et al.  Detection of grey matter loss in mild Alzheimer's disease with voxel based morphometry , 2002, Journal of neurology, neurosurgery, and psychiatry.

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

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

[89]  K. Någren,et al.  PET shows that striatal dopamine D1 and D2 receptors are differentially affected in AD , 2000, Neurology.

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

[91]  P. Johannsen,et al.  Cortical Responses to Sustained and Divided Attention in Alzheimer's Disease , 1999, NeuroImage.

[92]  R. J. Seitz,et al.  A parieto-premotor network for object manipulation: evidence from neuroimaging , 1999, Experimental Brain Research.

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

[94]  Thomas E. Nichols,et al.  Compensatory reallocation of brain resources supporting verbal episodic memory in Alzheimer's disease , 1996, Neurology.

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

[96]  P. Goldman-Rakic,et al.  Posterior parietal cortex in rhesus monkey: II. Evidence for segregated corticocortical networks linking sensory and limbic areas with the frontal lobe , 1989, The Journal of comparative neurology.

[97]  P. Goldman-Rakic,et al.  Posterior parietal cortex in rhesus monkey: I. Parcellation of areas based on distinctive limbic and sensory corticocortical connections , 1989, The Journal of comparative neurology.

[98]  D. Benson,et al.  Alzheimer's disease and Parkinson's disease , 1988, Neurology.