Association between carotid atherosclerosis and brain activation patterns during the Stroop task in older adults: An fNIRS investigation

[1]  I. Tachtsidis,et al.  An analysis framework for the integration of broadband NIRS and EEG to assess neurovascular and neurometabolic coupling , 2021, Scientific Reports.

[2]  Alessandro Torricelli,et al.  Best practices for fNIRS publications , 2021, Neurophotonics.

[3]  Amir A. Khan,et al.  Asymptomatic carotid artery stenosis is associated with cerebral hypoperfusion. , 2020, Journal of vascular surgery.

[4]  N. Fox,et al.  Study Protocol - Insight 46 Cardiovascular: A Sub-study of the MRC National Survey of Health and Development. , 2020, Artery research.

[5]  M. Inzitari,et al.  Functional Near-Infrared Spectroscopy to Study Cerebral Hemodynamics in Older Adults During Cognitive and Motor Tasks: A Review , 2020, Frontiers in Aging Neuroscience.

[6]  Nick C Fox,et al.  Using a birth cohort to study brain health and preclinical dementia: recruitment and participation rates in Insight 46 , 2018, BMC Research Notes.

[7]  Jack C. de la Torre,et al.  The Vascular Hypothesis of Alzheimer's Disease: A Key to Preclinical Prediction of Dementia Using Neuroimaging. , 2018 .

[8]  J. C. de la Torre,et al.  The Vascular Hypothesis of Alzheimer's Disease: A Key to Preclinical Prediction of Dementia Using Neuroimaging. , 2018, Journal of Alzheimer's disease : JAD.

[9]  Siddhartha Sikdar,et al.  Asymptomatic carotid stenosis is associated with cognitive impairment. , 2017, Journal of vascular surgery.

[10]  Arcangelo Merla,et al.  A novel GLM-based method for the Automatic IDentification of functional Events (AIDE) in fNIRS data recorded in naturalistic environments , 2017, NeuroImage.

[11]  Fernando Cendes,et al.  Use of near-infrared spectroscopy to probe occlusion severity in patients diagnosed with carotid atherosclerotic disease , 2017 .

[12]  Nick C Fox,et al.  Study protocol: Insight 46 – a neuroscience sub-study of the MRC National Survey of Health and Development , 2017, BMC Neurology.

[13]  Federica Scarpina,et al.  The Stroop Color and Word Test , 2017, Front. Psychol..

[14]  Arjun K. Ghosh,et al.  Birthweight, childhood growth and left ventricular structure at age 60–64 years in a British birth cohort study , 2016, International journal of epidemiology.

[15]  G. Flandin,et al.  Sensor space group analysis for fNIRS data , 2016, Journal of Neuroscience Methods.

[16]  Ilias Tachtsidis,et al.  Publisher’s note: False positives and false negatives in functional near-infrared spectroscopy: issues, challenges, and the way forward , 2016, Neurophotonics.

[17]  A. Wong,et al.  The MRC National Survey of Health and Development reaches age 70: maintaining participation at older ages in a birth cohort study , 1997, European Journal of Epidemiology.

[18]  S. Calkins,et al.  To Stroop or not to Stroop: Sex-related differences in brain-behavior associations during early childhood. , 2016, Psychophysiology.

[19]  Theodore J Huppert,et al.  Commentary on the statistical properties of noise and its implication on general linear models in functional near-infrared spectroscopy. , 2016, Neurophotonics.

[20]  Meryem A Yücel,et al.  Short separation regression improves statistical significance and better localizes the hemodynamic response obtained by near-infrared spectroscopy for tasks with differing autonomic responses , 2015, Neurophotonics.

[21]  V. Gudnason,et al.  Cardiac Hemodynamics are Linked With Structural and Functional Features of Brain Aging: The Age, Gene/Environment Susceptibility (AGES)‐Reykjavik Study , 2015, Journal of the American Heart Association.

[22]  Martin Wolf,et al.  A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology , 2014, NeuroImage.

[23]  J. Toro World Alzheimer Report 2013 , 2013 .

[24]  Martin Wolf,et al.  General equation for the differential pathlength factor of the frontal human head depending on wavelength and age , 2013, Journal of biomedical optics.

[25]  Frédéric Lesage,et al.  A fNIRS investigation of switching and inhibition during the modified Stroop task in younger and older adults , 2013, NeuroImage.

[26]  J. C. de la Torre Cardiovascular Risk Factors Promote Brain Hypoperfusion Leading to Cognitive Decline and Dementia , 2012, Cardiovascular psychiatry and neurology.

[27]  E. Vicaut,et al.  Mannheim Carotid Intima-Media Thickness and Plaque Consensus (2004–2006–2011) , 2012, Cerebrovascular Diseases.

[28]  Sandra E Black,et al.  Alzheimer's Disease, Cerebrovascular Disease, and the β-amyloid Cascade , 2012, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.

[29]  V. Fuster,et al.  The links between complex coronary disease, cerebrovascular disease, and degenerative brain disease , 2012, Annals of the New York Academy of Sciences.

[30]  C. Murphy,et al.  Abnormal event-related potentials in young and middle-aged adults with the ApoE ε4 allele. , 2012, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[31]  Marcus Richards,et al.  Cohort Profile: Updating the cohort profile for the MRC National Survey of Health and Development: a new clinic-based data collection for ageing research , 2011, International journal of epidemiology.

[32]  D. Selkoe Alzheimer's disease. , 2011, Cold Spring Harbor perspectives in biology.

[33]  C. Papageorgiou,et al.  Effect of handedness on the Stroop Colour Word Task , 2010, Laterality.

[34]  Meredith N. Braskie,et al.  Vascular health risks and fMRI activation during a memory task in older adults , 2010, Neurobiology of Aging.

[35]  M Wolf,et al.  How to detect and reduce movement artifacts in near-infrared imaging using moving standard deviation and spline interpolation , 2010, Physiological measurement.

[36]  Jian Wang,et al.  An fMRI stroop task study of prefrontal cortical function in normal aging, mild cognitive impairment, and Alzheimer's disease. , 2009, Current Alzheimer research.

[37]  R. Raedt,et al.  Dorsolateral prefrontal cortex and Stroop performance: Tackling the lateralization , 2009, Psychonomic bulletin & review.

[38]  P. Wolf,et al.  Carotid artery atherosclerosis, MRI indices of brain ischemia, aging, and cognitive impairment: the Framingham study. , 2009, Stroke.

[39]  T. LeCompte,et al.  Vascular Structure and Function Is Correlated to Cognitive Performance and White Matter Hyperintensities in Older Hypertensive Patients With Subjective Memory Complaints , 2009, Stroke.

[40]  Berislav V. Zlokovic,et al.  Neurovascular mechanisms and blood–brain barrier disorder in Alzheimer’s disease , 2009, Acta Neuropathologica.

[41]  Martin A. Lindquist,et al.  Modeling the hemodynamic response function in fMRI: Efficiency, bias and mis-modeling , 2009, NeuroImage.

[42]  Katherine L. Roberts,et al.  Examining a Supramodal Network for Conflict Processing: A Systematic Review and Novel Functional Magnetic Resonance Imaging Data for Related Visual and Auditory Stroop Tasks , 2008, Journal of Cognitive Neuroscience.

[43]  Valer Jurcak,et al.  10/20, 10/10, and 10/5 systems revisited: Their validity as relative head-surface-based positioning systems , 2007, NeuroImage.

[44]  D. Yves von Cramon,et al.  Neurovascular coupling is impaired in cerebral microangiopathy—An event-related Stroop study , 2007, NeuroImage.

[45]  Andrew J. Saykin,et al.  Increased brain activation during working memory in cognitively intact adults with the APOE ε4 allele , 2006 .

[46]  S. Bunce,et al.  Functional near-infrared spectroscopy , 2006, IEEE Engineering in Medicine and Biology Magazine.

[47]  P. Pasqualetti,et al.  Hemoglobin oxygen saturation as a marker of cerebral hemodynamics in carotid artery occlusion , 2006, Journal of Neurology.

[48]  T. Beach,et al.  Atherosclerosis and AD: Analysis of data from the US National Alzheimer's Coordinating Center , 2005, Neurology.

[49]  Kathryn M. McMillan,et al.  A comparison of label‐based review and ALE meta‐analysis in the Stroop task , 2005, Human brain mapping.

[50]  R. Mayeux,et al.  Atherosclerosis and AD , 2005, Neurology.

[51]  Gregory G. Brown,et al.  fMRI evidence of compensatory mechanisms in older adults at genetic risk for Alzheimer disease , 2005, Neurology.

[52]  H. Amièva,et al.  Evidencing inhibitory deficits in Alzheimer's disease through interference effects and shifting disabilities in the Stroop test. , 2004, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[53]  K. Fukuchi,et al.  Association of aortic atherosclerosis with cerebral beta-amyloidosis and learning deficits in a mouse model of Alzheimer's disease. , 2003, The American journal of pathology.

[54]  M. Verbeek,et al.  Pathogenesis of cerebral amyloid angiopathy , 2003, Brain Research Reviews.

[55]  Frithjof Kruggel,et al.  Age dependency of the hemodynamic response as measured by functional near-infrared spectroscopy , 2003, NeuroImage.

[56]  O. Joakimsen,et al.  Neuropsychological Test Performance in Asymptomatic Carotid Stenosis , 2003 .

[57]  Carrick C. Williams,et al.  Stroop Interference, Practice, and Aging , 2003, Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition.

[58]  N. Cohen,et al.  Attentional Control in the Aging Brain: Insights from an fMRI Study of the Stroop Task , 2002, Brain and Cognition.

[59]  Karl J. Friston,et al.  Classical and Bayesian Inference in Neuroimaging: Applications , 2002, NeuroImage.

[60]  G. Lohmann,et al.  Color-Word Matching Stroop Task: Separating Interference and Response Conflict , 2001, NeuroImage.

[61]  J. Ridley Studies of Interference in Serial Verbal Reactions , 2001 .

[62]  M. Breteler,et al.  Vascular risk factors for Alzheimer’s disease: An epidemiologic perspective , 2000, Neurobiology of Aging.

[63]  Robert A. Koeppe,et al.  Age Differences in Behavior and PET Activation Reveal Differences in Interference Resolution in Verbal Working Memory , 2000, Journal of Cognitive Neuroscience.

[64]  R. Weisskoff,et al.  Effect of temporal autocorrelation due to physiological noise and stimulus paradigm on voxel‐level false‐positive rates in fMRI , 1998, Human brain mapping.

[65]  A. Hofman,et al.  Atherosclerosis, apolipoprotein E, and prevalence of dementia and Alzheimer's disease in the Rotterdam Study , 1997, The Lancet.

[66]  D. Balota,et al.  Stroop performance in healthy younger and older adults and in individuals with dementia of the Alzheimer's type. , 1996, Journal of experimental psychology. Human perception and performance.

[67]  Jordan Grafman,et al.  The role of prefrontal regions in the Stroop task , 1995, Neuropsychologia.

[68]  J. D. L. Torre,et al.  Can disturbed brain microcirculation cause Alzheimer’s disease? , 1993 .

[69]  J. C. de la Torre,et al.  Can disturbed brain microcirculation cause Alzheimer's disease? , 1993, Neurological research.

[70]  J. Stroop Studies of interference in serial verbal reactions. , 1992 .

[71]  S. Jonas,et al.  Asymptomatic carotid stenosis. , 1985, Stroke.