No association of cortical amyloid load and EEG connectivity in older people with subjective memory complaints
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Stefan Teipel | Marie-Claude Potier | Hovagim Bakardjian | Enrica Cavedo | Harald Hampel | Marie-Odile Habert | Gabriel Gonzalez-Escamilla | Michel J. Grothe | Bruno Dubois | Martin Dyrba | Sarah Weschke | B. Dubois | H. Bakardjian | H. Hampel | S. Teipel | E. Cavedo | M. Grothe | M. Dyrba | M. Habert | G. González-Escamilla | M. Potier | Sarah Weschke
[1] J. Sepulcre,et al. Neuronal dysfunction and disconnection of cortical hubs in non-demented subjects with elevated amyloid burden , 2011, Alzheimer's & Dementia.
[2] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[3] Andrew J. Saykin,et al. A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer's disease , 2014, Alzheimer's & Dementia.
[4] Bernard Ng,et al. Regional brain hypometabolism is unrelated to regional amyloid plaque burden. , 2015, Brain : a journal of neurology.
[5] Cindee M. Madison,et al. Effects of Beta-Amyloid on Resting State Functional Connectivity Within and Between Networks Reflect Known Patterns of Regional Vulnerability. , 2014, Cerebral cortex.
[6] M. Mintun,et al. Amyloid-β Imaging with Pittsburgh Compound B and Florbetapir: Comparing Radiotracers and Quantification Methods , 2013, The Journal of Nuclear Medicine.
[7] Hellmuth Obrig,et al. Correlates of alpha rhythm in functional magnetic resonance imaging and near infrared spectroscopy , 2003, NeuroImage.
[8] Cornelis J. Stam,et al. EEG spectral analysis as a putative early prognostic biomarker in nondemented, amyloid positive subjects , 2017, Neurobiology of Aging.
[9] Clifford R. Jack,et al. Clinicopathologic and 11C-Pittsburgh compound B implications of Thal amyloid phase across the Alzheimer’s disease spectrum , 2015, Brain : a journal of neurology.
[10] Bradford C. Dickerson,et al. Regional Expansion of Hypometabolism in Alzheimer's Disease Follows Amyloid Deposition with Temporal Delay , 2012, Biological Psychiatry.
[11] K. Arbuthnott,et al. Trail Making Test, Part B as a Measure of Executive Control: Validation Using a Set-Switching Paradigm , 2000, Journal of clinical and experimental neuropsychology.
[12] Young-Min Park,et al. Global synchronization index as a biological correlate of cognitive decline in Alzheimer's disease , 2010, Neuroscience Research.
[13] J. Whitwell,et al. Alzheimer's disease neuroimaging , 2018, Current opinion in neurology.
[14] N. Denburg,et al. Adult norms for the Rey-Osterrieth Complex Figure Test and for supplemental recognition and matching trials from the Extended Complex Figure Test. , 1999, The Clinical neuropsychologist.
[15] T. Tombaugh. Trail Making Test A and B: normative data stratified by age and education. , 2004, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.
[16] Keith A. Johnson,et al. Neuronal dysfunction and disconnection of cortical hubs in non-demented subjects with elevated amyloid burden , 2011, Alzheimer's & Dementia.
[17] H. Buschke,et al. Cued recall in amnesia. , 1984, Journal of clinical neuropsychology.
[18] C. Sorg,et al. The complex link between amyloid and neuronal dysfunction in Alzheimer's disease. , 2015, Brain : a journal of neurology.
[19] Scott Makeig,et al. BCILAB: a platform for brain–computer interface development , 2013, Journal of neural engineering.
[20] N. Shah,et al. The Default Mode Network and EEG Regional Spectral Power: A Simultaneous fMRI-EEG Study , 2014, PloS one.
[21] Ricardo Bruña,et al. Influence of the APOE ε4 allele and mild cognitive impairment diagnosis in the disruption of the MEG resting state functional connectivity in sources space. , 2015, Journal of Alzheimer's disease : JAD.
[22] Frank Jessen,et al. Subjective Cognitive Decline , 2021, Encyclopedia of Gerontology and Population Aging.
[23] Charles DeCarli,et al. Existing Pittsburgh Compound-B positron emission tomography thresholds are too high: statistical and pathological evaluation. , 2015, Brain : a journal of neurology.
[24] Nick C Fox,et al. Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria , 2014, The Lancet Neurology.
[25] Kerstin Heurling,et al. [18F]flutemetamol amyloid positron emission tomography in preclinical and symptomatic Alzheimer's disease: Specific detection of advanced phases of amyloid-β pathology , 2015, Alzheimer's & Dementia.
[26] C. Stam,et al. Phase lag index: Assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources , 2007, Human brain mapping.
[27] Stephanie Brandl,et al. Robust artifactual independent component classification for BCI practitioners , 2014, Journal of neural engineering.
[28] Keith A. Johnson,et al. Disruption of Functional Connectivity in Clinically Normal Older Adults Harboring Amyloid Burden , 2009, The Journal of Neuroscience.
[29] C. Rowe,et al. Comparison of 11C-PiB and 18F-florbetaben for Aβ imaging in ageing and Alzheimer’s disease , 2012, European Journal of Nuclear Medicine and Molecular Imaging.
[30] D. Tucker,et al. Scalp electrode impedance, infection risk, and EEG data quality , 2001, Clinical Neurophysiology.
[31] D. Drane,et al. Demographic characteristics and normative observations for derived-trail making test indices. , 2002, Neuropsychiatry, neuropsychology, and behavioral neurology.
[32] G. Chételat,et al. Cognitive and Brain Profiles Associated with Current Neuroimaging Biomarkers of Preclinical Alzheimer's Disease , 2015, The Journal of Neuroscience.
[33] Stephan Kolassa,et al. Changes in cortical slow wave activity in healthy aging , 2011, Brain Imaging and Behavior.
[34] L. Prichep,et al. Quantitative EEG and Electromagnetic Brain Imaging in Aging and in the Evolution of Dementia , 2007, Annals of the New York Academy of Sciences.
[35] Arthur L. Benton,et al. Differential behavioral effects in frontal lobe disease , 1968 .
[36] S. Folstein,et al. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.
[37] Frederik Barkhof,et al. Amyloid and its association with default network integrity in Alzheimer's disease , 2014, Human brain mapping.
[38] Mark A. Mintun,et al. A Semiautomated Method for Quantification of F 18 Florbetapir PET Images , 2015, The Journal of Nuclear Medicine.
[39] P. Rossini,et al. Cortical sources of resting EEG rhythms in mild cognitive impairment and subjective memory complaint , 2010, Neurobiology of Aging.
[40] D. A. Kenny,et al. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.
[41] Kaj Blennow,et al. Slowing of EEG correlates with CSF biomarkers and reduced cognitive speed in elderly with normal cognition over 4 years , 2010, Neurobiology of Aging.
[42] Cornelis J. Stam,et al. Activity Dependent Degeneration Explains Hub Vulnerability in Alzheimer's Disease , 2012, PLoS Comput. Biol..
[43] M. Ewers,et al. Distinct pattern of hypometabolism and atrophy in preclinical and predementia Alzheimer's disease , 2014, Neurobiology of Aging.
[44] J. Sepulcre,et al. In vivo staging of regional amyloid deposition , 2017, Neurology.
[45] C. Sorg,et al. Within-patient correspondence of amyloid-β and intrinsic network connectivity in Alzheimer’s disease , 2014, Alzheimer's & Dementia.
[46] J. Poitrenaud,et al. Standardisation et étalonnage français du Mini Mental State (MMS) version GRÉCO , 2003 .
[47] Cindee M. Madison,et al. Is verbal episodic memory in elderly with amyloid deposits preserved through altered neuronal function? , 2014, Cerebral cortex.
[48] Klaus-Robert Müller,et al. On the influence of high-pass filtering on ICA-based artifact reduction in EEG-ERP , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[49] W. Klunk,et al. Regional amyloid burden and intrinsic connectivity networks in cognitively normal elderly subjects. , 2014, Brain : a journal of neurology.
[50] M. Modat,et al. The importance of appropriate partial volume correction for PET quantification in Alzheimer’s disease , 2011, European Journal of Nuclear Medicine and Molecular Imaging.
[51] C. Sorg,et al. Within-patient correspondence of amyloid-β and intrinsic network connectivity in Alzheimer’s disease , 2014, Alzheimer's & Dementia.
[52] P. Fries. Rhythms for Cognition: Communication through Coherence , 2015, Neuron.
[53] Arthur MacNeill Horton,et al. Wechsler Memory Scale III , 1999 .
[54] R. Coleman,et al. Cerebral PET with florbetapir compared with neuropathology at autopsy for detection of neuritic amyloid-β plaques: a prospective cohort study , 2012, The Lancet Neurology.
[55] Michael D. Greicius,et al. Relationships between β-amyloid and functional connectivity in different components of the default mode network in aging. , 2011, Cerebral cortex.