The DOI matches its Crossref record; 59 of the 60 references it cites were found in a registry or an index, and 1 are not checked yet.
Heterogeneity in mild cognitive impairment: Differences in neuropsychological profile and associated white matter lesion pathology
Open accessAbstract
This study examined whether distinct neuropsychological profiles could be delineated in a sample with Mild Cognitive Impairment (MCI) and whether white matter lesion (WML) burden contributed to MCI group differences. A heterogeneous, clinical sample of 70 older adults diagnosed with MCI was assessed using cognitive scores, and WML was quantified using a semi-automated, volumetric approach on T 2-weighted fluid-attenuated inversion recovery (FLAIR) images. Using cluster and discriminant analyses, three distinct groups (Memory/Language, Executive/Processing Speed, and Pure Memory) were empirically derived based on cognitive scores. Results also showed a dose dependent relationship of WML burden to MCI subgroup, with the Executive/Processing Speed subgroup demonstrating significantly higher levels of WML pathology when compared to the other subgroups. In addition, there was a dissociation of lesion type by the two most impaired subgroups (Memory/Language and Executive/Processing Speed) such that the Memory/Language subgroup showed higher periventricular lesion (PVL) and lower deep white matter lesion (DWML) volumes, whereas the Executive/Processing Speed demonstrated higher DWML and lower PVL volumes. Results demonstrate that distinct MCI subgroups can be empirically derived and reliably differentiated from a heterogeneous MCI sample, and that these profiles differ according to WML burden. Overall, findings suggest different underlying pathologies within MCI and contribute to our understanding of MCI subtypes. (JINS, 2009,15, 906–914.)
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Applying these methods to different samples of individuals with clinically-diagnosed MCI, Delano-Wood et al. [27] and Libon et al. [28] independently identified three clusters that represented amnestic, dysexecutive, and mixed (i.e., memory and language deficits) MCI subtypes.”
From Neuropsychological Criteria for Mild Cognitive Impairment Improves Diagnostic Precision, Biomarker Associations, and Progression Rates (2014) · cites this paper as [27]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hierarchical Grouping to Optimize an Objective Function
Ward, J. H. (1963) · Journal of the American Statistical Association · doi:10.1080/01621459.1963.10500845 · Cited by 21,341 · cited 1×
“Ward’s minimum variance cluster analysis (Kaufman & Rousseau, 1990 ; Ward, 1963 ) was performed to identify patterns of impairment and assess for the presence of groups based on neuropsychological performance.”
MethodDevelopment and validation of a geriatric depression screening scale: a preliminary report
Yesavage, J. A., Brink, T. L., Rose, T. L., Lum, O., Huang, V., Adey, M., & Leirer, V. O. (1982) · Journal of Psychiatric Research · doi:10.1016/0022-3956(82)90033-4 · Cited by 15,025 · cited 1×
“Finally, we employed the 15-item Geriatric Depression Scale (GDS; Yesavage et al., 1983 ), a brief measure widely used to assess depression in older adult samples.”
MethodMild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
Applied Regression Analysis and Other Multivariable Methods
Walker, E., Kleinbaum, D. G., Kupper, L. L., & Muller, K. E. (1989) · Technometrics · doi:10.2307/1270375 · Cited by 8,538
Mild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864
Finding Groups in Data: An Introduction to Cluster Analysis
Kaufman, L., & Rousseeuw, P. J. (1990) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316801 · Cited by 7,344
Current concepts in mild cognitive impairment
Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Ritchie, K., Rossor, M., Thal, L., & Winblad, B. (2001) · Archives of Neurology · doi:10.1001/archneur.58.12.1985 · Cited by 4,781 · cited 1×
“…the concept of Mild Cognitive Impairment (MCI), a clinical construct thought to represent a transitional state between normal aging and dementia (Petersen et al., 1999 ; 2001 ), it became apparent that the original defi nition requiring a strict memory impairment was limiting and restrictive.”
BackgroundFrontal-subcortical circuits and human behavior
Cummings, J. L. (1993) · Archives of Neurology · doi:10.1001/archneur.1993.00540080076020 · Cited by 2,262
Aging Gracefully: Compensatory Brain Activity in High-Performing Older Adults
Cabeza, R., Anderson, N. D., Locantore, J. K., & McIntosh, A. R. (2002) · NeuroImage · doi:10.1006/nimg.2002.1280 · Cited by 1,964
Stroop Color and Word Test: Manual for Clinical and Experimental Uses.
Golden, C. J., Golden, C. J., & Golden, C. (1978) · NSUWorks (Nova Southeastern University) · Cited by 1,814
Welsh, K. A., Butters, N., Mohs, R. C., Beekly, D., Edland, S., Fillenbaum, G., & Heyman, A. (1994) · Neurology · doi:10.1212/wnl.44.4.609 · Cited by 951 · cited 1×
“All neuropsychological scores were standardized with a z-score transformation on the basis of the CERAD or other normative data of the neuropsychological tests (Welsh et al., 1994 ).”
MethodMild Cognitive Impairment as a Clinical Entity and Treatment Target
Petersen, R. C., & Morris, J. C. (2005) · Archives of Neurology · doi:10.1001/archneur.62.7.1160 · Cited by 935 · cited 4×
“E-mail: ldelano@ucsd.edu a whole (Davis & Rockwood, 2004 ; De Carli, 2003 ; Kavé & Heinik, 2004 ; Petersen & Morris, 2005 ).”
BackgroundMethodResultInfluentialThe cognitive correlates of white matter abnormalities in normal aging: A quantitative review.
Gunning-Dixon, F. M., & Raz, N. (2000) · Neuropsychology · doi:10.1037/0894-4105.14.2.224 · Cited by 794
The cognitive correlates of white matter abnormalities in normal aging: A quantitative review.
Gunning‐Dixon, F. M., & Raz, N. (2000) · Neuropsychology · doi:10.1037//0894-4105.14.2.224 · Cited by 790 · cited 1×
“…have demonstrated a link between WML pathology and cognitive impairment across the aging spectrum (Delano-Wood et al., 2008 ; Garrett et al., 2004 ; Gunning-Dixon & Raz, 2000 ; Inzitari, 2000 ), and important distinctions have been made between the two WML subtypes [deep white matter lesions…”
BackgroundPetten, C. K. V. (2004) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2004.04.006 · Cited by 615
Fernando, M. S., Simpson, J. E., Matthews, F., Brayne, C., Lewis, C. E., Barber, R., Kalaria, R. N., Forster, G., Esteves, F., Wharton, S. B., et al. (2006) · Stroke · doi:10.1161/01.str.0000221308.94473.14 · Cited by 587 · cited 2×
“In contrast to PVL, studies have suggested that DWML are related to underlying vascular risk and the presence of vascular disease (Fernando et al., 2006 ; Thomas et al., 2002 ).”
BackgroundResultMild cognitive impairment: prevalence, prognosis, aetiology, and treatment
DeCarli, C. S. (2002) · The Lancet Neurology · doi:10.1016/s1474-4422(03)00262-x · Cited by 586
Mild cognitive impairment: Long-term course of four clinical subtypes
Busse, A., Hensel, A., Gühne, U., Angermeyer, M. C., & Riedel-Heller, S. G. (2006) · Neurology · doi:10.1212/01.wnl.0000249117.23318.e1 · Cited by 561
Consortium to Establish a Registry for Alzheimer's Disease (CERAD): The first twenty years
Fillenbaum, G. G., van Belle, G., Morris, J. C., Mohs, R. C., Mirra, S. S., Davis, P. C., Tariot, P. N., Silverman, J. M., Clark, C. M., Welsh-Bohmer, K. A., et al. (2008) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2007.08.005 · Cited by 494 · cited 1×
“…to Establish a Registry for Alzheimer’s Disease (CERAD; Welsh, Butters, & Mohs, 1994 ), a reliable, well-standardized neuropsychological battery often used to detect impairment in mildly impaired populations (Chandler et al., 2005 ; Fillenbaum et al., 2008 ; Schmidtke & Hermeneit, 2007 ).”
BackgroundCerebral White Matter Lesions and the Risk of Dementia
Prins, N. D., van Dijk, E. J., den Heijer, T., Vermeer, S. E., Koudstaal, P. J., Oudkerk, M., Albert Hofman, D., & Breteler, M. M. B. (2004) · Archives of Neurology · doi:10.1001/archneur.61.10.1531 · Cited by 491
A total score for the CERAD neuropsychological battery
Chandler, M. J., Lacritz, L. H., Hynan, L. S., Barnard, H. D., Allen, G., Deschner, M., Weiner, M. F., & Cullum, C. M. (2005) · Neurology · doi:10.1212/01.wnl.0000167607.63000.38 · Cited by 387 · cited 1×
“…to Establish a Registry for Alzheimer’s Disease (CERAD; Welsh, Butters, & Mohs, 1994 ), a reliable, well-standardized neuropsychological battery often used to detect impairment in mildly impaired populations (Chandler et al., 2005 ; Fillenbaum et al., 2008 ; Schmidtke & Hermeneit, 2007 ).”
BackgroundMild cognitive impairment: conceptual basis and current nosological status
Ritchie, K. A., & Touchon, J. (2000) · The Lancet · doi:10.1016/s0140-6736(99)06155-3 · Cited by 386 · cited 1×
“…for their inability to adequately capture the range of variability often observed in patients with milder forms of cognitive impairment, and it was argued that MCI may not represent a separate and homogeneous clinical syndrome in terms of its neuropsychological profi le (Ritchie & Touchon, 2000 ).”
BackgroundIschemic Basis for Deep White Matter Hyperintensities in Major Depression
Thomas, A. J., O'Brien, J. T., Davis, S., Ballard, C. G., Barber, R., Kalaria, R. N., & Perry, R. H. (2002) · Archives of General Psychiatry · doi:10.1001/archpsyc.59.9.785 · Cited by 366 · cited 1×
“In contrast to PVL, studies have suggested that DWML are related to underlying vascular risk and the presence of vascular disease (Fernando et al., 2006 ; Thomas et al., 2002 ).”
ResultThe neuropsychology of preclinical Alzheimer's disease and mild cognitive impairment
Collie, A., & Maruff, P. T. (2000) · Neuroscience & Biobehavioral Reviews · doi:10.1016/s0149-7634(00)00012-9 · Cited by 339 · cited 1×
“…there is a vast literature suggesting that episodic memory impairment is greater than naming defi cits in early AD (Bondi et al., 1994 , 1999 ; Collie & Maruff, 2000 ; Rubin et al., 1998 ; Testa et al., 2004 ), and it is important to note that, given the cross-sectional nature of this study,…”
BackgroundA Prospective Study of Cognitive Function and Onset of Dementia in Cognitively Healthy Elders
Rubin, E. H., Storandt, M., Miller, J. P., Kinscherf, D. A., Grant, E., Morris, J. C., & Berg, L. (1998) · Archives of Neurology · doi:10.1001/archneur.55.3.395 · Cited by 321 · cited 1×
“…suggesting that episodic memory impairment is greater than naming defi cits in early AD (Bondi et al., 1994 , 1999 ; Collie & Maruff, 2000 ; Rubin et al., 1998 ; Testa et al., 2004 ), and it is important to note that, given the cross-sectional nature of this study, individuals with…”
BackgroundHypertension and the Brain: Vulnerability of the Prefrontal Regions and Executive Functions.
Raz, N., Rodrigue, K. M., & Acker, J. D. (2003) · Behavioral Neuroscience · doi:10.1037/0735-7044.117.6.1169 · Cited by 312 · cited 1×
“…each region in cubic centimeters was calculated by multiplying the summed pixel cross-sectional area in square centimeters by slice thickness in centimeters, and WML volumes were normalized to the intracranial cavity (ICC) volume for each participant (Delano-Wood et al., 2008 ; Raz et al., 2003 ).”
MethodHead Circumference, Education and Risk of Dementia: Findings from the Nun Study
Mortimer, J. A., Snowdon, D. A., & Markesbery, W. R. (2003) · Journal of Clinical and Experimental Neuropsychology · doi:10.1076/jcen.25.5.671.14584 · Cited by 297
Longitudinal course and neuropathologic outcomes in original vs revised MCI and in pre-MCI
Storandt, M., Grant, E., Miller, J. P., & Morris, J. C. (2006) · Neurology · doi:10.1212/01.wnl.0000228231.26111.6e · Cited by 286 · cited 1×
“…MCI (Petersen et al., 1999 ) and is also one of the major MCI subtypes in Petersen’s MCI classifi cation scheme; other researchers have also found this subgroup to represent a sizable portion of their respective MCI samples (Bombois et al., 2007 ; Loewenstein et al., 2006 ; Storandt et al., 2006 ).”
BackgroundBondi, M. W., Salmon, D. P., Galasko, D., Thomas, R. G., & Thal, L. J. (1999) · Psychology and Aging · doi:10.1037//0882-7974.14.2.295 · Cited by 235 · cited 1×
“However, there is a vast literature suggesting that episodic memory impairment is greater than naming defi cits in early AD (Bondi et al., 1994 , 1999 ; Collie & Maruff, 2000 ; Rubin et al., 1998 ; Testa et al., 2004 ), and it is important to note that, given the cross-sectional nature of this…”
BackgroundSelf-citationPathophysiologic Mechanisms in the Development of Age-Related White Matter Changes of the Brain
Fazekas, F., Schmidt, R., & Scheltens, P. (1998) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000051182 · Cited by 189
Alzheimer’s disease can be accurately diagnosed in very mildly impaired individuals
Salmon, D. P., Thomas, R. G., Pay, M. M., Booth, A., Hofstetter, C. R., Thal, L. J., & Katzman, R. (2002) · Neurology · doi:10.1212/wnl.59.7.1022 · Cited by 189 · cited 2×
“Conversely, the Memory/ Language subgroup appears to be consistent with what might be expected from a cortical, degenerative etiology such as AD, with prominent decline in episodic and semantic memory functions (Mickes et al., 2007 ; Powell et al., 2006 ; Salmon et al., 2002 ).”
ResultNeuropsychological characteristics of mild vascular cognitive impairment and dementia after stroke
Stephens, S., Kenny, R. A., Rowan, E., Allan, L., Kalaria, R. N., Bradbury, M., & Ballard, C. G. (2004) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.1209 · Cited by 165 · cited 1×
“In regard to the latter, much attention has been focused on the contribution of white matter lesion (WML) pathology to cognitive, behavioral, and motor decline seen in dementia and, recently, in more subtle neuropsychological impairment (Garrett et al., 2004 ; Stephens et al., 2004 ).”
BackgroundPreclinical cognitive markers of dementia of the Alzheimer type.
Bondi, M. W., Monsch, A. U., Galasko, D., Butters, N., Salmon, D. P., & Delis, D. C. (1994) · Neuropsychology · doi:10.1037/0894-4105.8.3.374 · Cited by 163
Self-citationSilent Cerebral Infarction in a Community-Based Autopsy Series in Japan
Shinkawa, A., Ueda, K., Kiyohara, Y., Kato, I., Sueishi, K., Tsuneyoshi, M., & Fujishima, M. (1995) · Stroke · doi:10.1161/01.str.26.3.380 · Cited by 160 · cited 1×
“Indeed, PVL are commonly observed in nondemented, healthy older adults (Shinkawa et al., 1995 ; Simpson et al., 2007 ), and some studies have suggested that WML located along the borders of the ventricles refl ect primarily breakdown of the ependymal lining and are therefore more common and less…”
BackgroundTomimoto, H., Ihara, M., Wakita, H., Ohtani, R., Lin, J.-X., Akiguchi, I., Kinoshita, M., & Shibasaki, H. (2003) · Acta Neuropathologica · doi:10.1007/s00401-003-0749-3 · Cited by 158 · cited 1×
“Given associations reported in the literature between DWML, microangiopathy, and hypoperfusion (Tomimoto et al., 2003 ), it may be that early manifestations of vascular cognitive impairment (VCI) associated with DWML lead to dysexecutive defi cits in cognition, thought to be dependent on the…”
BackgroundPatterns of neuropsychological impairment in frontotemporal dementia
Libon, D. J., Xie, S. X., Moore, P., Farmer, J. M., Antani, S., McCawley, G., Cross, K. A., & Grossman, M. (2007) · Neurology · doi:10.1212/01.wnl.0000252820.81313.9b · Cited by 153 · cited 1×
“Using the methodology of Libon et al. ( 2007) , composite scores were computed for memory (CERAD Word List Delayed Free Recall and Recognition; r = .38, p = .01), as well as executive functioning (Trails B and the Stroop ColorWord Test Interference score; r = .69, p < .001) prior to statistical…”
MethodSelf-citationSubclassifications for mild cognitive impairment: prevalence and predictive validity
BUSSE, A., Bischkopf, J., Riedel-Heller, S. G., et al. (2003) · Psychological Medicine · doi:10.1017/s0033291703007839 · Cited by 151 · cited 1×
“Although no reliable cut-off for defi ning impairment in MCI has yet been defi ned, Busse et al. ( 2003 , 2006) have shown that a more liberal cut-off (i.e., 1 SD below the mean) is optimal, because it offers higher sensitivity and predictive power than the traditional cut-off of 1.5 SD.”
BackgroundInfluentialSelnes, O. A., & Vinters, H. V. (2006) · Nature Clinical Practice Neurology · doi:10.1038/ncpneuro0294 · Cited by 146
Microglial activation in white matter lesions and nonlesional white matter of ageing brains
Simpson, J. E., Ince, P. G., Higham, C. E., Gelsthorpe, C., Fernando, M. S., Matthews, F. E., Forster, G., O'Brien, J. T., Barber, R., Kalaria, R. N., et al. (2007) · Neuropathology and Applied Neurobiology · doi:10.1111/j.1365-2990.2007.00890.x · Cited by 146 · cited 2×
“Indeed, PVL are commonly observed in nondemented, healthy older adults (Shinkawa et al., 1995 ; Simpson et al., 2007 ), and some studies have suggested that WML located along the borders of the ventricles refl ect primarily breakdown of the ependymal lining and are therefore more common and less…”
BackgroundZanetti, M., Ballabio, C., Abbate, C., Cutaia, C., Vergani, C., & Bergamaschini, L. C. (2006) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2006.00658.x · Cited by 130 · cited 2×
“…have investigated differences across MCI subgroups diagnosed clinically using Petersen’s classifi cation criteria (e.g., Busse, Bischkopf, Riedel-Heller, & Angermeyer, 2003 ; Busse, Hensel, Guhne, Angermeyer, & Riedel-Heller, 2006 ; Storandt, Grant, Miller, & Morris, 2006 ; Zanetti et al., 2006 ).”
ResultGarrett, K. D. (2004) · Archives of Clinical Neuropsychology · doi:10.1016/j.acn.2003.09.008 · Cited by 128 · cited 2×
“In regard to the latter, much attention has been focused on the contribution of white matter lesion (WML) pathology to cognitive, behavioral, and motor decline seen in dementia and, recently, in more subtle neuropsychological impairment (Garrett et al., 2004 ; Stephens et al., 2004 ).”
BackgroundHigh rate of conversion to Alzheimer's disease in a cohort of amnestic MCI patients
Schmidtke, K., & Hermeneit, S. (2007) · International Psychogeriatrics · doi:10.1017/s1041610207005509 · Cited by 127 · cited 1×
“…to Establish a Registry for Alzheimer’s Disease (CERAD; Welsh, Butters, & Mohs, 1994 ), a reliable, well-standardized neuropsychological battery often used to detect impairment in mildly impaired populations (Chandler et al., 2005 ; Fillenbaum et al., 2008 ; Schmidtke & Hermeneit, 2007 ).”
BackgroundMRI correlates of executive dysfunction in patients with ischaemic stroke
Vataja, R., Pohjasvaara, T., Mäntylä, R., Ylikoski, R., Leppävuori, A., Leskelä, M., Kalska, H., Hietanen, M., Aronen, H. J., Salonen, O. L. M., et al. (2003) · European Journal of Neurology · doi:10.1046/j.1468-1331.2003.00676.x · Cited by 122 · cited 1×
“DWML tend to predominate in the dorsolateral prefrontal cortex, and thus, concomitant cognitive defi cits may be the result of small vessel disease disrupting frontal-subcortical pathways (Vataja et al., 2003 ).”
BackgroundA Hybrid Clustering Method for Identifying High-Density Clusters
Wong, M. A. (1982) · Journal of the American Statistical Association · doi:10.1080/01621459.1982.10477896 · Cited by 117
Regional White Matter Pathology in Mild Cognitive Impairment
Delano‐Wood, L., Abeles, N., Sacco, J. M., Wierenga, C. E., Horne, N. R., & Bozoki, A. (2008) · Stroke · doi:10.1161/strokeaha.107.502534 · Cited by 109 · cited 3×
“…each region in cubic centimeters was calculated by multiplying the summed pixel cross-sectional area in square centimeters by slice thickness in centimeters, and WML volumes were normalized to the intracranial cavity (ICC) volume for each participant (Delano-Wood et al., 2008 ; Raz et al., 2003 ).”
BackgroundMethodInfluentialSelf-citationConceptualization of mild cognitive impairment: a review
Davis, H. S., & Rockwood, K. J. (2004) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.1049 · Cited by 94 · cited 1×
“E-mail: ldelano@ucsd.edu a whole (Davis & Rockwood, 2004 ; De Carli, 2003 ; Kavé & Heinik, 2004 ; Petersen & Morris, 2005 ).”
The Consortium to Investigate Vascular Impairment of Cognition: Methods and First Findings
Rockwood, K. J., Davis, H., MacKnight, C., Vandorpe, R. A., Gauthier, S. G., Guzmán, A. E., Montgomery, P. R., Black, S. E., Hogan, D. B., KERTESZ, A. E., et al. (2003) · Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · doi:10.1017/s0317167100002663 · Cited by 94 · cited 2×
“Thus, because MCI likely represents a heterogeneous group of individuals with different pathologies and neuro- psychological profi les (Bowler, 2002 ; Rockwood et al., 2003 ), the current study was designed to assess: (1) whether distinct groups could be empirically gleaned from a clinical…”
BackgroundMickes, L., Wixted, J. T., Fennema‐Notestine, C., Galasko, D. R., Bondi, M. W., Thal, L. J., & Salmon, D. P. (2007) · Neuropsychology · doi:10.1037/0894-4105.21.6.696 · Cited by 88 · cited 2×
“Conversely, the Memory/ Language subgroup appears to be consistent with what might be expected from a cortical, degenerative etiology such as AD, with prominent decline in episodic and semantic memory functions (Mickes et al., 2007 ; Powell et al., 2006 ; Salmon et al., 2002 ).”
ResultSelf-citationThe concept of vascular cognitive impairment
Bowler, J. V. (2002) · Journal of the Neurological Sciences · doi:10.1016/s0022-510x(02)00253-8 · Cited by 80
Bombois, S., Debette, S., Delbeuck, X., Bruandet, A., Lepoittevin, S., Delmaire, C., Leys, D., & Pasquier, F. (2007) · Stroke · doi:10.1161/strokeaha.107.486407 · Cited by 77 · cited 2×
“…MCI (Petersen et al., 1999 ) and is also one of the major MCI subtypes in Petersen’s MCI classifi cation scheme; other researchers have also found this subgroup to represent a sizable portion of their respective MCI samples (Bombois et al., 2007 ; Loewenstein et al., 2006 ; Storandt et al., 2006 ).”
BackgroundResultLazarus, R., Prettyman, R. J., & Cherryman, G. R. (2005) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.1283 · Cited by 71 · cited 1×
“Our results are consistent with other recent studies that have shown that PVL, but not DWML, may represent an agerelated phenomenon (Lazarus et al., 2005 ; Prins et al., 2004 ).”
ResultCognitive Profiles in Alzheimer’s Disease and in Mild Cognitive Impairment of Different Etiologies
Loewenstein, D., Acevedo, A., Agrón, J., Isaacson, R. E., Strauman, S., Crocco, E., Barker, W., & Duara, R. (2006) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000091522 · Cited by 69 · cited 1×
“…MCI (Petersen et al., 1999 ) and is also one of the major MCI subtypes in Petersen’s MCI classifi cation scheme; other researchers have also found this subgroup to represent a sizable portion of their respective MCI samples (Bombois et al., 2007 ; Loewenstein et al., 2006 ; Storandt et al., 2006 ).”
BackgroundConfrontation naming does not add incremental diagnostic utility in MCI and Alzheimer's disease
Testa, J. A., Ivnik, R. J., Boeve, B. F., Petersen, R. C., Pankratz, V. S., Knopman, D. S., Tangalos, E. G., & Smith, G. E. (2004) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617704104177 · Cited by 58 · cited 1×
“…episodic memory impairment is greater than naming defi cits in early AD (Bondi et al., 1994 , 1999 ; Collie & Maruff, 2000 ; Rubin et al., 1998 ; Testa et al., 2004 ), and it is important to note that, given the cross-sectional nature of this study, individuals with differing etiologies…”
BackgroundVascular cognitive impairment : preventable dementia
Bowler, J. V., & Hachinski, V. (2003) · Cited by 50
Cognitive Measures Predict Pathologic Alzheimer Disease
Powell, M. R., Smith, G. E., Knopman, D. S., Parisi, J. E., Boeve, B. F., Petersen, R. C., & Ivnik, R. J. (2006) · Archives of Neurology · doi:10.1001/archneur.63.6.865 · Cited by 32 · cited 2×
“Conversely, the Memory/ Language subgroup appears to be consistent with what might be expected from a cortical, degenerative etiology such as AD, with prominent decline in episodic and semantic memory functions (Mickes et al., 2007 ; Powell et al., 2006 ; Salmon et al., 2002 ).”
ResultVascular Cognitive Impairment: preventable dementia
(2003) · doi:10.1093/oso/9780192632678.001.0001 · Cited by 27
Neuropsychological Evaluation of Mild Cognitive Impairment: Three Case Reports
Kavé, G., & Heinik, J. (2004) · The Clinical Neuropsychologist · doi:10.1080/13854040490052418 · Cited by 16 · cited 1×
“E-mail: ldelano@ucsd.edu a whole (Davis & Rockwood, 2004 ; De Carli, 2003 ; Kavé & Heinik, 2004 ; Petersen & Morris, 2005 ).”
Platelet membrane fluidity in pregnancy hypertension
Gleeson, R., Ahmed, Y., Rice-Evans, C. A., & Elder, M. G. (1990) · The Lancet · doi:10.1016/0140-6736(90)90316-w · Cited by 12
Solano (2000) · doi:10.1002/1531-8249(200002)47:2 · Cited by 3
Diagnosis and management of vascular dementia
Sachdev, P. S., & Looi, J. C. (2000) · Cited by 1
Research works printed but not linked: 5
- Petersen, 2004, MCI as a useful clinical concept, Geriatric Times, 5, 1
- Reitan, 1985, The Halstead-Reitan Neuropsychological Test Battery: Theory and interpretation.
- Delis, 2000, CVLT-II: California Verbal Learning Test
- Hays, 1994, Statistics
- 10.1037/0882-7974.14.2.295 · DOI · Paper page
Cited by
Sorted by citations
Bondi, M. W., Initiative, F. T. A. D. N., Edmonds, E. C., Jak, A. J., Clark, L. R., Delano-Wood, L., McDonald, C. R., Nation, D. A., Libon, D. J., Au, R., et al. (2014) · Journal of Alzheimer's Disease · doi:10.3233/jad-140276 · Cited by 772
“…, and mixed MCI subtypes MCI had been determined using the actuarial neuropsychological method, consistent with the of Delano-Wood et al. [27] and Libon et al. [ In contrast, when MCI had been determined the conventional “one test” MCI criteria, Clark sub-types, and a third…”
Self-citationNeuropsychological Assessment of Dementia
Salmon, D. P., & Bondi, M. W. (2008) · Annual Review of Psychology · doi:10.1146/annurev.psych.57.102904.190024 · Cited by 491
Self-citationEdmonds, E. C., Delano‐Wood, L., Clark, L. R., Jak, A. J., Nation, D. A., McDonald, C. R., Libon, D. J., Au, R., Galasko, D., Salmon, D. P., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.03.005 · Cited by 256
“A hierarchical cluster analysis was performed on the z scores using Ward’s method, consistent with previous MCI studies [4,5].”
MethodSelf-citationSubjective Cognitive Complaints Contribute to Misdiagnosis of Mild Cognitive Impairment
Edmonds, E. C., Delano-Wood, L., Galasko, D. R., Salmon, D. P., & Bondi, M. W. (2014) · Journal of the International Neuropsychological Society · doi:10.1017/s135561771400068x · Cited by 249
“…demonstrate deficits primarily in one area of cognitive ability (e.g., memory, executive functioning, language), while others demonstrate impairments in multiple cognitive domains (Bondi et al., 2014; Clark et al., 2013; Delano-Wood et al., 2009; Edmonds et al., 2014; Libon et al., 2010).”
Self-citationSubtle Cognitive Decline and Biomarker Staging in Preclinical Alzheimer’s Disease
Edmonds, E. C., Initiative, A. D. N., Delano‐Wood, L., Galasko, D. R., Salmon, D. P., & Bondi, M. W. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150128 · Cited by 205
“: +1 858 552 8585/Ext. 2809; Fax: +1 858 642 1218; E-mail: mbondi@ucsd.edu.”
Self-citation
Metadata
- Authors
- DELANO-WOOD, L., BONDI, M. W., SACCO, J., ABELES, N., JAK, A. J., LIBON, D. J., & BOZOKI, A.
- Affiliations
- University of California San Diego (US)
- Michigan State University (US)
- Drexel University (US)
- Venue
- Journal of the International Neuropsychological Society
- Publisher
- Cambridge University Press (CUP)
- Published
- 2009-11
- Volume
- 15
- Issue
- 6
- Pages
- 906-914
- ISSN
- 1355-6177 (ISSN-L)
- 1469-7661
- PMC
- PMC3034688
- OpenAlex
- W2022434347
- Semantic Scholar
- 9643c2f0ad3e905372f28afdbac9c929a53e6e30
- Cited by
- 155
- References
- 59
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 6 · 2023: 9 · 2022: 6 · 2021: 22 · 2020: 11 · 2019: 16 · 2018: 11 · 2017: 11 · 2016: 8 · 2015: 10 · 2014: 11 · 2013: 5 · 2012: 11
- FWCI
- 4.73
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of the International Neuropsychological Society (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- University of California, San Diego
- National Institute on Aging (R01AG012674, K24AG026431)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
- Keywords
- mild cognitive impairment, MCI subtypes, white matter lesions, neuropsychological profile, executive function, processing speed, memory impairment, language impairment, periventricular white matter lesions, deep white matter lesions, FLAIR MRI, older adults, dementia risk
- MeSH terms
- Aged, Aged, 80 and over, Analysis of Variance, Brain, Cognition Disorders, Female, Humans, Magnetic Resonance Imaging, Male, Memory, Nerve Fibers, Myelinated, Neuropsychological Tests, Visual Perception, Discriminant Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review