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Dive into the research topics where Maria T. Greig is active.

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Featured researches published by Maria T. Greig.


Neurology | 2008

Medial temporal lobe atrophy on MRI scans and the diagnosis of Alzheimer disease

Ranjan Duara; David A. Loewenstein; Elizabeth Potter; Jason Appel; Maria T. Greig; R. Urs; Qian Shen; Ashok Raj; Brent J. Small; Warren W. Barker; Elizabeth Schofield; Y. Wu; Huntington Potter

Background: Despite convenience, accessibility, and strong correlation to severity of Alzheimer disease (AD) pathology, medial temporal lobe atrophy (MTA) has not been used as a criterion in the diagnosis of prodromal and probable AD. Methods: Using a newly validated visual rating system, mean MTA scores of three bilateral medial temporal lobe structures were compared for subjects with no cognitive impairment (NCI) (n = 117), nonamnestic mild cognitive impairment (MCI) (n = 46), amnestic MCI (n = 45), and probable AD (n = 53). Correlations between MTA scores and neuropsychological test scores at baseline, and predictors of change in diagnosis at 1-year follow-up were evaluated. Results: With NCI as the reference group, a mean MTA cut score of 1.33 yielded an optimal sensitivity/specificity of 85%/82% for probable AD subjects and 80%/82% for amnestic MCI subjects. MTA and Clinical Dementia Rating Sum of Boxes scores at baseline were independent and additive predictors of diagnosis at baseline, and of transition from NCI to MCI or from MCI to dementia at 1-year follow-up. Conclusion: Medial temporal lobe atrophy (MTA) scores 1) distinguish probable Alzheimer disease (AD) and amnestic mild cognitive impairment (MCI) subjects from nonamnestic MCI and no cognitive impairment (NCI) subjects, 2) help predict diagnosis at baseline, and 3) predict transition from NCI to MCI and from MCI to probable AD. MTA scores should be used as a criterion in the clinical diagnosis of AD. AD = Alzheimer disease; ADRDA = Alzheimers Disease and Related Disorders Association; aMCI = amnestic mild cognitive impairment; ANOVA = analysis of variance; CDRSB = Clinical Dementia Rating Sum of Boxes; ERC = entorhinal cortex; FADRC-CC = Florida Alzheimers Disease Research Center–Clinical Core; HPC = hippocampus; HR = hazard ratio; MCI = mild cognitive impairment; MMSE = Mini-Mental State Examination; MTA = medial temporal lobe atrophy; MTL = medial temporal lobe; NACC = National Alzheimers Coordinating Center; naMCI = nonamnestic mild cognitive impairment; NCI = no cognitive impairment; NINCDS = National Institute of Neurological and Communicative Disorders and Stroke; NS = not significant; PRC = perirhinal cortex; VRS = visual rating system.


Journal of Alzheimer's Disease | 2012

High Blood caffeine levels in MCI linked to lack of progression to dementia.

Chuanhai Cao; David A. Loewenstein; Xiaoyang Lin; Chi Zhang; Li Wang; Ranjan Duara; Yougui Wu; Alessandra Giannini; Ge Bai; Jianfeng Cai; Maria T. Greig; Elizabeth Schofield; Raj Ashok; Brent J. Small; Huntington Potter; Gary W. Arendash

Although both human epidemiologic and animal model studies have suggested that caffeine/coffee protects against Alzheimers disease, direct human evidence for this premise has been lacking. In the present case-control study, two separate cohorts consisting of 124 total individuals (65-88 years old) were cognitively assessed and a blood sample taken for caffeine/biomarker analysis. Subjects were then monitored for cognitive status over the ensuing 2-4 year period to determine the extent to which initial plasma caffeine/biomarkers levels would be predictive of changes in cognitive status. Plasma caffeine levels at study onset were substantially lower (-51%) in mild cognitive impairment (MCI) subjects who later progressed to dementia (MCI→DEM) compared to levels in stable MCI subjects (MCI→MCI). Moreover, none of the MCI→DEM subjects had initial blood caffeine levels that were above a critical level of 1200 ng/ml, while half of stable MCI→MCI subjects had blood caffeine levels higher than that critical level. Thus, plasma caffeine levels greater than 1200 ng/ml (≈6 μM) in MCI subjects were associated with no conversion to dementia during the ensuing 2-4 year follow-up period. Among the 11 cytokines measured in plasma, three of them (GCSF, IL-10, and IL-6) were decreased in MCI→DEM subjects, but not in stable MCI→MCI subjects with high plasma caffeine levels. Coffee would appear to be the major or perhaps only source of caffeine for such stable MCI patients. This case-control study provides the first direct evidence that caffeine/coffee intake is associated with a reduced risk of dementia or delayed onset, particularly for those who already have MCI.


American Journal of Geriatric Psychiatry | 2011

Pre-MCI and MCI: neuropsychological, clinical, and imaging features and progression rates.

Ranjan Duara; David A. Loewenstein; Maria T. Greig; Elizabeth Potter; Warren W. Barker; Ashok Raj; John A. Schinka; Amy R. Borenstein; Mike R. Schoenberg; Yougui Wu; Jessica L. Banko; Huntington Potter

OBJECTIVE To compare clinical, imaging, and neuropsychological characteristics and longitudinal course of subjects with pre-mild cognitive impairment (pre-MCI), who exhibit features of MCI on clinical examination but lack impairment on neuropsychological examination, to subjects with no cognitive impairment (NCI), nonamnestic MCI (naMCI), amnestic MCI (aMCI), and mild dementia. METHODS For 369 subjects, clinical dementia rating sum of boxes (CDR-SB), ApoE genotyping, cardiovascular risk factors, parkinsonism (UPDRS) scores, structural brain MRIs, and neuropsychological testing were obtained at baseline, whereas 275 of these subjects received an annual follow-up for 2-3 years. RESULTS At baseline, pre-MCI subjects showed impairment on tests of executive function and language, higher apathy scores, and lower left hippocampal volumes (HPCV) in comparison to NCI subjects. Pre-MCI subjects showed less impairment on at least one memory measure, CDR-SB and UPDRS scores, in comparison to naMCI, aMCI and mild dementia subjects. Follow-up over 2-3 years showed 28.6% of pre-MCI subjects, but less than 5% of NCI subjects progressed to MCI or dementia. Progression rates to dementia were equivalent between naMCI (22.2%) and aMCI (34.5%) groups, but greater than for the pre-MCI group (2.4%). Progression to dementia was best predicted by the CDR-SB, a list learning and executive function test. CONCLUSION This study demonstrates that clinically defined pre-MCI has cognitive, functional, motor, behavioral and imaging features that are intermediate between NCI and MCI states at baseline. Pre-MCI subjects showed accelerated rates of progression to MCI as compared to NCI subjects, but slower rates of progression to dementia than MCI subjects.


American Journal of Neuroradiology | 2009

Association of White Matter Hyperintensity Measurements on Brain MR Imaging with Cognitive Status, Medial Temporal Atrophy, and Cardiovascular Risk Factors

Jason Appel; Elizabeth Potter; Nisha Bhatia; Qian Shen; Weizhao Zhao; Maria T. Greig; Ashok Raj; Warren W. Barker; Huntington Potter; Elizabeth Schofield; Y. Wu; David A. Loewenstein; Ranjan Duara

BACKGROUND AND PURPOSE: White matter hyperintensities (WMHs) are frequently characterized as markers of cerebrovascular disease, whereas medial temporal atrophy (MTA) is a recognized marker of Alzheimer disease (AD). Our purpose was to test the reliability of a visual rating system (VRS) in evaluating WMHs and MTA and in distinguishing healthy from cognitively impaired subjects. MATERIALS AND METHODS: Subjects (n = 192) enrolled in the Florida Alzheimers Disease Research Center were diagnosed with no cognitive impairment, nonamnestic mild cognitive impairment (na-MCI), amnestic MCI (a-MCI), or probable AD. The severity of WMHs was assessed on T2-weighted fluid-attenuated inversion recovery axial MR images, and the severity of MTA was evaluated on 1.5-mm-thick coronal MR images by using a computer-based visual rating system. Cardiovascular risk factor scores were calculated as the sum of 10 independent cardiovascular risk factors. RESULTS: WMH and MTA scores were greater in subjects with probable AD, relative to those with no cognitive impairment and na-MCI. MTA scores differentiated subjects with a-MCI from those with no cognitive impairment and na-MCI. The total WMH score was significantly related to MTA (r = 0.39; P < .001) but not to cardiovascular risk factor scores (r = 0.07; P = not significant). The overall correct classification rate of probable AD versus no cognitive impairment by using MTA scores was 81.8%, improving to 86.5% when combined with WMH scores. CONCLUSIONS: Both MTA and WMH scores distinguished subjects with no cognitive impairment and probable AD. Combining MTA and WMH scores improved the correct classification rate, whereas WMH scores were significantly related to MTA scores, but not to cardiovascular risk factor scores. This finding suggests that among subjects with a-MCI and probable AD, WMHs on MR images are primarily associated with neurodegenerative disease.


Alzheimers & Dementia | 2012

An investigation of PreMCI: Subtypes and longitudinal outcomes

David A. Loewenstein; Maria T. Greig; John A. Schinka; Warren W. Barker; Qian Shen; Elizabeth Potter; Ashok Raj; Larry Brooks; Daniel Varon; Mike R. Schoenberg; Jessica L. Banko; Huntington Potter; Ranjan Duara

To investigate the clinical features and rates of progression of conditions that are not considered to be normal, but do not fulfill criteria for mild cognitive impairment (MCI).


Dementia and Geriatric Cognitive Disorders | 2011

Minimal Atrophy of the Entorhinal Cortex and Hippocampus: Progression of Cognitive Impairment

Daniel Varon; David A. Loewenstein; Elizabeth Potter; Maria T. Greig; Joscelyn Agron; Qian Shen; Weizhao Zhao; Maria Celeste Ramirez; Isael Santos; Warren W. Barker; Huntington Potter; Ranjan Duara

Background: In Alzheimer’s disease, neurodegenerative atrophy progresses from the entorhinal cortex (ERC) to the hippocampus (HP), limbic system and neocortex. The significance of very mild atrophy of the ERC and HP on MRI scans among elderly subjects is unknown. Methods: A validated visual rating system on coronal MRI scans was used to identify no atrophy of the HP or ERC (HP₀; ERC₀), or minimal atrophy of the HP or ERC (HPma; ERCma), among 414 participants. Subjects fell into the following groups: (1) ERC₀/HP₀, (2) ERCma/HP₀, (3) ERC₀/HPma, and (4) ERCma/HPma. HP volume was independently measured using volumetric methods. Results: In comparison to ERC₀/HP₀ subjects, those with ERC₀/HPma had impairment on 1 memory test, ERCma/HP₀ subjects had impairment on 2 memory tests and the Mini Mental State Examination (MMSE), while ERCma/HPma subjects had impairment on 3 memory tests, the MMSE and Clinical Dementia Rating. Progression rates of cognitive and functional impairment were significantly greater among subjects with ERCma. Conclusion: Minimal atrophy of the ERC results in greater impairment than minimal atrophy of the HP, and the combination is additive when measured by cognitive and functional tests. Rates of progression to greater impairment were higher among ERCma subjects.


Alzheimers & Dementia | 2011

Volumetric and visual rating of magnetic resonance imaging scans in the diagnosis of amnestic mild cognitive impairment and Alzheimer's disease

Qian Shen; David A. Loewenstein; Elizabeth Potter; Weizhao Zhao; Jason Appel; Maria T. Greig; Ashok Raj; Amarilis Acevedo; Elizabeth Schofield; Warren W. Barker; Yougui Wu; Huntington Potter; Ranjan Duara

In the diagnosis of Alzheimers disease (AD), structural magnetic resonance imaging (MRI) scans have been used primarily to exclude non‐Alzheimers causes of dementia. However, the pattern and the extent of medial temporal atrophy on structural MRI scans, which correlate strongly with the pathological severity of AD, can be used to support the diagnosis of a degenerative dementia, especially AD, even in its early predementia stage.


Behavioural Neurology | 2009

A comparative analysis of structural brain MRI in the diagnosis of Alzheimer's disease.

Jason Appel; Elizabeth Potter; Qian Shen; Gustavo Pantol; Maria T. Greig; David A. Loewenstein; Ranjan Duara

Dementia is a debilitating and life-altering disease which leads to both memory impairment and decline of normal executive functioning. While causes of dementia are numerous and varied, the leading cause among patients 60 years and older is Alzheimer’s disease. The gold standard for Alzheimer’s diagnosis remains histological identification of amyloid plaques and neurofibrillary tangles within the medial temporal lobe, more specifically the entorhinal cortex and hippocampus. Although no definitive cure for Alzheimers disease currently exists, there are treatments targeted at preserving cognition and memory while delaying continued loss of function. Alzheimers disease exists along a spectrum of cognitive decline and is often preceded by Mild Cognitive Impairment (MCI). Patients with MCI demonstrate memory loss and cognitive impairment while still continuing normal activities of daily living, and are considered to be at increased risk for developing Alzheimers Dementia. Identifying patients with prodromal states of Alzheimers dementia such as MCI may allow initiation of appropriate treatment planning and delay of cognitive decline. Therefore, the need for a non-invasive early biomarker for the detection of Alzheimers disease has never been greater. Multiple neuroimaging methods utilizing visual rating scales, volumetric measurements, and automated methods have been developed to identify, quantify, and track anatomic sequelae of Alzheimer’s Disease.


Frontiers in Aging Neuroscience | 2013

The utility of age-specific cut-offs for visual rating of medial temporal atrophy in classifying Alzheimer's disease, MCI and cognitively normal elderly subjects

Ranjan Duara; David A. Loewenstein; Qian Shen; Warren W. Barker; Daniel Varon; Maria T. Greig; Rosie E. Curiel; Joscelyn Agron; Isael Santos; Huntington Potter

Background: New research criteria for diagnosing Alzheimers disease (AD) in the mild cognitive impairment stage (MCI-AD) incorporate biomarkers to assign a level of certainty to the diagnosis. Structural MRI is widely available but greatly under-utilized for assessing atrophy of structures affected in early AD, such as the hippocampus (HP), because the quantification of HP volumes (HP-v) requires special expertise, and normative values have not been established. Methods: Elderly subjects (n =273) from the Florida ADRC were classified as having no cognitive impairment (cognitively normal, CN), amnestic mild cognitive impairment (aMCI) or AD. Volumes for the hippocampus (HP-v) were measured on structural MRI scans. A validated visual rating system for measuring medial temporal atrophy (VRS-MTA), including hippocampal, entorhinal cortex and perirhinal cortex atrophy was employed. The participants were subdivided into younger (less than or equal to 75 years of age) and older (greater than 75 years of age) subgroups. Results: Volumetric and VRS-MTA measures were equivalent in predicting classification of CN vs. aMCI for older (area under the receiver operator curves [aROC]: 0.652 vs. 0.723) and younger subjects (aROC: 0.764 vs. 0.736). However, for younger AD subjects, aROC values were significantly higher for VRS-MTA measures (0.920) than for volumetric measures (0.847). Relative to HP-v, VRS-MTA score was significantly more correlated to impairment on a range of memory tests and was more associated with progression of aMCI to AD than HP-v. Conclusion: Structural MRI with VRS-MTA assessment can serve as a biomarker for supporting the diagnosis of MCI-AD. Age-adjusted VRS-MTA scores are at least as effective as HP-v for distinguishing aMCI and AD from CN and for predicting progression from aMCI to AD. VRS-MTA is convenient for use in the clinic as well as for clinical trials and can readily be incorporated into a standardized radiological report.


International Journal of Geriatric Psychiatry | 2015

Visual rating and volumetric measurement of medial temporal atrophy in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort: baseline diagnosis and the prediction of MCI outcome

Daniel Varon; Warren W. Barker; David A. Loewenstein; Maria T. Greig; Adriana Bohorquez; Isael Santos; Qian Shen; Molly Harper; Tatiana Vallejo-Luces; Ranjan Duara

This study aims to determine the clinical utility of visual ratings and volumetric measurements of medial temporal atrophy among subjects from the Alzheimers Disease Neurorimaging Initiative (ADNI) cohort.

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Ashok Raj

University of South Florida

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Yougui Wu

University of South Florida

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Huntington Potter

University of South Florida

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