Skip to main content

PIERO ANTUONO

Followers

0

Following

12

Public Views

Trpimir Vedriš

University of Zagreb, Faculty of Humanities and Social Sciences [Filozofski fakultet]

Francisco de Paula Souza de Mendonça Júnior

UFSM - Universidade Federal de Santa Maria

Michaela Valente

Università degli Studi "La Sapienza" di Roma

Cybele C Almeida

Universidade Federal do Rio Grande do Sul

Masaryk University

Giuseppe Lorentini

Università del Molise

Dr. John Román-Alamo

Pontificia Universidad Catolica de Puerto Rico

CARIDAD BENAVIDES MARTINEZ

Columbia University

Università degli Studi di Padova

Giovanni Basile

Facoltà Teologica di Sicilia (Studio Teologico San Paolo di Catania)

Interests

Uploads

Papers by PIERO ANTUONO

Lights and Shadows of Cerebrospinal Fluid Biomarkers in the Current Alzheimer’s Disease Framework

Journal of Alzheimer's Disease

Background: The most significant biomarkers that are included in the Alzheimer’s disease (AD) res... more Background: The most significant biomarkers that are included in the Alzheimer’s disease (AD) research framework are amyloid-β plaques deposition, p-tau, t-tau, and neurodegeneration. Although cerebrospinal fluid (CSF) biomarkers are included in the most recent AD research criteria, their use is increasing in the routine clinical practice and is applied also to the preclinical phases of AD, including mild cognitive impairment. The role of these biomarkers is still unclear concerning the preclinical stage of AD diagnosis, the CSF methodology, and the costs-benefits of the biomarkers’ tests. The controversies regarding the use of biomarkers in the clinical practice are related to the concepts of analytical validity, clinical validity, and clinical utility and to the question of whether they are able to diagnose AD without the support of AD clinical phenotypes. Objective: The objective of the present work is to expose the strengths and weaknesses of the use of CSF biomarkers in the dia...

Effects of the coexistence of late-life depression and mild cognitive impairment on white matter microstructure

Journal of the Neurological Sciences, Mar 1, 2014

Background and objective-Late-life depression (LLD) and amnestic mild cognitive impairment (aMCI)... more Background and objective-Late-life depression (LLD) and amnestic mild cognitive impairment (aMCI) are associated with white matter (WM) disruptions of the fronto-limbic and interhemispheric tracts implicated in mood regulation and episodic memory functions. This work investigates the extent of these WM abnormalities in patients LLD and aMCI when these diseases occur alone and when they coexist. Materials and methods-Eighty-four subjects separated into cognitively normal (n = 33), LLD (n = 20), aMCI (n = 18), and comorbid aMCI and LLD (n = 13) completed Diffusion Tensor Imaging (DTI) scans. Tract-Based Spatial Statistics was employed to skeletonize multiple DTI indices of the cingulum, corpus callosum, fornix and uncinate fasciculus. Analysis of covariance and post-hoc tests compared group differences. Multiple linear regressions were performed between DTI and behavioral measures for the whole sample and within individual patient groups. Results-Divergent microstructural disruptions were identified in LLD-and aMCI-only groups, whereas the comorbid group showed widespread abnormalities especially in the hippocampal cingulum and fornix tracts. The LLD groups also showed significant disruptions in the uncinate fasciculus and corpus callosal tracts. Higher depressive symptom and lower episodic memory scores were associated with increased diffusivity measures in the fornix and hippocampal cingulum across all subjects.

Frontotemporal Lobe Dementia

Frontotemporal lobe degeneration (FTLD) is the term currently used for what was formerly called P... more Frontotemporal lobe degeneration (FTLD) is the term currently used for what was formerly called Pick’s disease—a condition in which behavioral symptoms (of the frontal and/or temporal lobe syndrome) precede memory loss (1). Since Pick’s bodies are found in only 25% of patients with frontotemporal dementia, the diagnosis of Pick’s disease should be reserved for pathologically confirmed cases. From a clinical perspective these cases should be referred to as frontotemporal lobe degeneration (FTLD) or frontotemporal dementia (FTD). The diagnosis of FTLD is based mainly on the clinical presentation and can be confirmed by postmortem examination (1,2). The clinical diagnosis can be supported by the performance of structural as well as functional brain imaging.

Alzheimer disease risk associated withAPOE4is modified bySTHgene polymorphism

Neurology, May 10, 2004

A reason to hope: linking dementia research, care and services in the 21st century

PubMed, Oct 1, 1995

P-121: Objective assessment of mild cognitive impairment by Fisher linear discriminant

Alzheimers & Dementia, Jul 1, 2007

Background: While several paper-based screening tools exist for assessment of moderate to severe ... more Background: While several paper-based screening tools exist for assessment of moderate to severe dementia, there is a need for more brief but comprehensive assessment of cognitive function in these individuals for purposes of longitudinal tracking and monitoring of treatment effects. Objective: To evaluate the validity of a 15-minute computerized battery for cognitive assessment of moderate to severe cognitive impairment in the elderly. Methods: 97 older adults (age: 76.6Ϯ11.0; education: 10.4Ϯ4.6 years; 13% computer users) completed the 15minute technician-administered computerized Moderate-Severe Impairment Battery (MODS; NeuroTrax Corp., NJ) assessing orientation, memory, executive function, visual spatial processing, and verbal function. Participants received an expert clinical diagnosis of cognitively healthy (nϭ4), MCI (nϭ24), or dementia (nϭ55) and were staged according to the Clinical Dementia Rating (CDR) scale. Overall MODS score was compared across CDR stages by between-groups ANOVA. The Pearson correlation between MODS score and CDR sum of the boxes (CDR-SB) was computed. Effect sizes (Cohens d) were computed for differences in MODS score as a function of caregiver-reported cognitive symptoms and activities of daily living (ADLs). Results: MODS performance was significantly poorer with increasing CDR stage (pϽ0.0001), and all pairwise comparisons were significant (pϽ0.004); there were no differences in age (pϭ0.47) or education (pϭ0.36). A correlation of 0.71 (pϽ0.0001) was found between MODS score and CDR-SB. Large effect sizes were obtained for caregiverreported difficulty managing finances (dϭ1.25) and medications (dϭ1.03); there were medium effect sizes for decline over 6 months (dϭ0.67) and difficulty remembering (dϭ0.54) or finding the right words (dϭ0.46). Conclusions: A 15-minute computerized battery demonstrates good discriminant validity across CDR severity stages, high construct validity, and meaningful relationship with ADLs. Thus the Moderate-Severe Impairment Battery is valid and practical for tracking change in patients with impaired function.

P-068: A new fMRI biomarker for hippocampal change with disease progression

Alzheimers & Dementia, Jul 1, 2007

Main and interactive effects of depression and amnestic mild cognitive impairment on gray matter volumes in healthy older adults: A VBM study

Alzheimers & Dementia, Jul 1, 2012

Balint's syndrome and transient global amnesia as a result of carbon monoxide (CO) poisoning

PubMed, Feb 1, 1980

ABSTRACT

Task-modulation of functional synchrony between spontaneous low-frequency oscillations in the human brain detected by fMRI

Magnetic Resonance in Medicine, 2006

Recent developments in functional MRI (fMRI) technology with high spatial and temporal resolution... more Recent developments in functional MRI (fMRI) technology with high spatial and temporal resolution have made it possible to noninvasively detect spontaneous low-frequency oscillations (SLOs) and quantify their functional synchrony in the human brain. In the present fMRI study the dynamic characteristics of the functional synchrony between SLOs were quantitatively determined by the phase shift index (PSI). With the use of an fMRI-guided voxel-selection method, the SLOs and their functional synchrony were found to be modulated by different memory tasks. The results demonstrate that SLOs in episodic memory-related circuitry have significantly higher synchrony during the performance of declarative memory-encoding activities compared to nondeclarative memory-encoding activities. It is suggested that the dynamic property of SLOs and the quantitative assessment of their functional synchrony could be utilized as a biomarker to noninvasively characterize localized pathophysiological functions in the human brain. Magn Reson Med 56:41-50, 2006.

Predicting progression from mild cognitive impairment to Alzheimer’s disease on an individual subject basis by applying the CARE index across different independent cohorts

Aging, Apr 29, 2019

Data used in this study were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI)... more Data used in this study were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (http://adni.loni.usc.edu). ADNI was launched in 2003 by the National Institute on Aging (NIA), the National Institute of Biomedical Imaging and Bioengineering (NIBIB), the US Food and Drug Administration (FDA) [1], private pharmaceutical companies, and nonprofit organizations, as a $60 million, five-year public-private partnership. ADNI is an observational study with both cross-sectional and longitudinal follow-up components. The primary goal of ADNI has been to test whether neuroimaging, fluid and genetic biomarkers, and cognitive assessments can be combined to measure the progression of mild cognitive impairment (MCI) and early Alzheimer's disease (AD). This study employed data from the ADNI 2, which includes 225 subjects with three clinical groups (cognitively normal [CN], MCI, and AD) (https://adni.loni. usc.edu/wp-content/uploads/2008/07/ adni2-procedures-manual.pdf downloaded May 19, 2016). All subjects and their study partners completed the informed consent process, and the study protocols were reviewed and approved by the Institutional Review Board at each ADNI data collection site.

Index to Volume 20

Does physical activity influence semantic memory activation in amnestic mild cognitive impairment? Psychiatry Res

The effect of physical activity (PA) on functional brain activation for semantic memory in amnest... more The effect of physical activity (PA) on functional brain activation for semantic memory in amnestic mild cognitive impairment (aMCI) was examined using event-related fMRI during fame discrimination. Greater semantic memory activation occurred in the left caudate of High-versus Low-PA patients (P = 0.03), suggesting PA may enhance memory-related caudate activation in aMCI.

Controls in the

Research article Neuropathological findings processed by artificial neural networks (ANNs) can pe... more

ORIGINAL RESEARCH Ceruloplasmin (2-D PAGE) Pattern and Copper Content in Serum and Brain of Alzheimer Disease Patients

Abstract: A dysfunction in copper homeostasis seems to occur in Alzheimer’s disease (AD). We prev... more Abstract: A dysfunction in copper homeostasis seems to occur in Alzheimer’s disease (AD). We previously evidenced that an excess of non-ceruloplasmin-copper (NCC) correlated with the main functional, anatomical as well as cerebrospinal markers of the disease. Aim of our study was to investigate ceruloplasmin isoforms as potential actors in this AD copper dysfunction. Our data show that AD patients have ceruloplasmin fragments of low molecular weight (<50 kDa) both in their serum and brain, contrary to healthy controls. Ceruloplasmin isoforms of higher molecular weight (115 and 135 kDa in serum and 135 kDa in brain), as well as copper levels in the brain, instead, do not seem to mark a difference between AD and healthy subjects. These data suggest a ceruloplasmin fragmentation in the serum of AD patients. Some clues in this direction have been found also in the AD brain. Keywords: Alzheimer’s disease, copper, ceruloplasmin, serum, brain, SDS-PAGE.

Advances in Artificial Neural Networks

Artificial neural networks (ANNs), usually simply called neural networks (NNs), are computing sys... more Artificial neural networks (ANNs), usually simply called neural networks (NNs), are computing systems vaguely inspired by the biological neural networks that constitute animal brains.An ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit a signal to other neurons. An artificial neuron that receives a signal then processes it and can signal neurons connected to it. The "signal" at a connection is a real number, and the output of each neuron is computed by some non-linear function of the sum of its inputs. The connections are called edges. Neurons and edges typically have a weight that adjusts as learning proceeds. The weight increases or decreases the strength of the signal at a connection. Neurons may have a threshold such that a signal is sent only if the aggregate signal crosses that threshold. Typically, neurons ar...

Quantitative differences between healthy subjects and patients with Alzheimer disease in brain imaging with I-123 iodoamphetamine

Age-related Functional Recruitment During the Recognition of Famous Names: an Event-related fMRI Study

Neurobiology of Aging, 2006

Comparison between Singular Spectrum Analysis and Filtering Methods to Calculate Functional Synchrony in the Human Hippocampus Region

Filtering ABSTRACT Singular spectrum analysis (SSA) and filtering methods were employed to extrac... more Filtering ABSTRACT Singular spectrum analysis (SSA) and filtering methods were employed to extract the spontaneous low frequency components from voxel time courses acquired with a single-shot, gradient echo EPI sequence, and determine the functional synchrony in the human hippocampus region in order to distinguish Alzheimer’s disease subjects from age-matched controls. Their performances were evaluated and compared. The SSA method provided 79% better separability than the filtering method. The better separability may be due to the better extraction of the spontaneous low frequency components from noisy voxel time courses.

A comparison of the Montreal Cognitive Assessment (MoCA) to the revised Addenbrooke Cognitive Examination (ACE-R) for the screening of Mild Cognitive Impairment

Lights and Shadows of Cerebrospinal Fluid Biomarkers in the Current Alzheimer’s Disease Framework

Journal of Alzheimer's Disease

Background: The most significant biomarkers that are included in the Alzheimer’s disease (AD) res... more Background: The most significant biomarkers that are included in the Alzheimer’s disease (AD) research framework are amyloid-β plaques deposition, p-tau, t-tau, and neurodegeneration. Although cerebrospinal fluid (CSF) biomarkers are included in the most recent AD research criteria, their use is increasing in the routine clinical practice and is applied also to the preclinical phases of AD, including mild cognitive impairment. The role of these biomarkers is still unclear concerning the preclinical stage of AD diagnosis, the CSF methodology, and the costs-benefits of the biomarkers’ tests. The controversies regarding the use of biomarkers in the clinical practice are related to the concepts of analytical validity, clinical validity, and clinical utility and to the question of whether they are able to diagnose AD without the support of AD clinical phenotypes. Objective: The objective of the present work is to expose the strengths and weaknesses of the use of CSF biomarkers in the dia...

Effects of the coexistence of late-life depression and mild cognitive impairment on white matter microstructure

Journal of the Neurological Sciences, Mar 1, 2014

Background and objective-Late-life depression (LLD) and amnestic mild cognitive impairment (aMCI)... more Background and objective-Late-life depression (LLD) and amnestic mild cognitive impairment (aMCI) are associated with white matter (WM) disruptions of the fronto-limbic and interhemispheric tracts implicated in mood regulation and episodic memory functions. This work investigates the extent of these WM abnormalities in patients LLD and aMCI when these diseases occur alone and when they coexist. Materials and methods-Eighty-four subjects separated into cognitively normal (n = 33), LLD (n = 20), aMCI (n = 18), and comorbid aMCI and LLD (n = 13) completed Diffusion Tensor Imaging (DTI) scans. Tract-Based Spatial Statistics was employed to skeletonize multiple DTI indices of the cingulum, corpus callosum, fornix and uncinate fasciculus. Analysis of covariance and post-hoc tests compared group differences. Multiple linear regressions were performed between DTI and behavioral measures for the whole sample and within individual patient groups. Results-Divergent microstructural disruptions were identified in LLD-and aMCI-only groups, whereas the comorbid group showed widespread abnormalities especially in the hippocampal cingulum and fornix tracts. The LLD groups also showed significant disruptions in the uncinate fasciculus and corpus callosal tracts. Higher depressive symptom and lower episodic memory scores were associated with increased diffusivity measures in the fornix and hippocampal cingulum across all subjects.

Frontotemporal Lobe Dementia

Frontotemporal lobe degeneration (FTLD) is the term currently used for what was formerly called P... more Frontotemporal lobe degeneration (FTLD) is the term currently used for what was formerly called Pick’s disease—a condition in which behavioral symptoms (of the frontal and/or temporal lobe syndrome) precede memory loss (1). Since Pick’s bodies are found in only 25% of patients with frontotemporal dementia, the diagnosis of Pick’s disease should be reserved for pathologically confirmed cases. From a clinical perspective these cases should be referred to as frontotemporal lobe degeneration (FTLD) or frontotemporal dementia (FTD). The diagnosis of FTLD is based mainly on the clinical presentation and can be confirmed by postmortem examination (1,2). The clinical diagnosis can be supported by the performance of structural as well as functional brain imaging.

Alzheimer disease risk associated withAPOE4is modified bySTHgene polymorphism

Neurology, May 10, 2004

A reason to hope: linking dementia research, care and services in the 21st century

PubMed, Oct 1, 1995

P-121: Objective assessment of mild cognitive impairment by Fisher linear discriminant

Alzheimers & Dementia, Jul 1, 2007

Background: While several paper-based screening tools exist for assessment of moderate to severe ... more Background: While several paper-based screening tools exist for assessment of moderate to severe dementia, there is a need for more brief but comprehensive assessment of cognitive function in these individuals for purposes of longitudinal tracking and monitoring of treatment effects. Objective: To evaluate the validity of a 15-minute computerized battery for cognitive assessment of moderate to severe cognitive impairment in the elderly. Methods: 97 older adults (age: 76.6Ϯ11.0; education: 10.4Ϯ4.6 years; 13% computer users) completed the 15minute technician-administered computerized Moderate-Severe Impairment Battery (MODS; NeuroTrax Corp., NJ) assessing orientation, memory, executive function, visual spatial processing, and verbal function. Participants received an expert clinical diagnosis of cognitively healthy (nϭ4), MCI (nϭ24), or dementia (nϭ55) and were staged according to the Clinical Dementia Rating (CDR) scale. Overall MODS score was compared across CDR stages by between-groups ANOVA. The Pearson correlation between MODS score and CDR sum of the boxes (CDR-SB) was computed. Effect sizes (Cohens d) were computed for differences in MODS score as a function of caregiver-reported cognitive symptoms and activities of daily living (ADLs). Results: MODS performance was significantly poorer with increasing CDR stage (pϽ0.0001), and all pairwise comparisons were significant (pϽ0.004); there were no differences in age (pϭ0.47) or education (pϭ0.36). A correlation of 0.71 (pϽ0.0001) was found between MODS score and CDR-SB. Large effect sizes were obtained for caregiverreported difficulty managing finances (dϭ1.25) and medications (dϭ1.03); there were medium effect sizes for decline over 6 months (dϭ0.67) and difficulty remembering (dϭ0.54) or finding the right words (dϭ0.46). Conclusions: A 15-minute computerized battery demonstrates good discriminant validity across CDR severity stages, high construct validity, and meaningful relationship with ADLs. Thus the Moderate-Severe Impairment Battery is valid and practical for tracking change in patients with impaired function.

P-068: A new fMRI biomarker for hippocampal change with disease progression

Alzheimers & Dementia, Jul 1, 2007

Main and interactive effects of depression and amnestic mild cognitive impairment on gray matter volumes in healthy older adults: A VBM study

Alzheimers & Dementia, Jul 1, 2012

Balint's syndrome and transient global amnesia as a result of carbon monoxide (CO) poisoning

PubMed, Feb 1, 1980

ABSTRACT

Task-modulation of functional synchrony between spontaneous low-frequency oscillations in the human brain detected by fMRI

Magnetic Resonance in Medicine, 2006

Recent developments in functional MRI (fMRI) technology with high spatial and temporal resolution... more Recent developments in functional MRI (fMRI) technology with high spatial and temporal resolution have made it possible to noninvasively detect spontaneous low-frequency oscillations (SLOs) and quantify their functional synchrony in the human brain. In the present fMRI study the dynamic characteristics of the functional synchrony between SLOs were quantitatively determined by the phase shift index (PSI). With the use of an fMRI-guided voxel-selection method, the SLOs and their functional synchrony were found to be modulated by different memory tasks. The results demonstrate that SLOs in episodic memory-related circuitry have significantly higher synchrony during the performance of declarative memory-encoding activities compared to nondeclarative memory-encoding activities. It is suggested that the dynamic property of SLOs and the quantitative assessment of their functional synchrony could be utilized as a biomarker to noninvasively characterize localized pathophysiological functions in the human brain. Magn Reson Med 56:41-50, 2006.

Predicting progression from mild cognitive impairment to Alzheimer’s disease on an individual subject basis by applying the CARE index across different independent cohorts

Aging, Apr 29, 2019

Data used in this study were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI)... more Data used in this study were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (http://adni.loni.usc.edu). ADNI was launched in 2003 by the National Institute on Aging (NIA), the National Institute of Biomedical Imaging and Bioengineering (NIBIB), the US Food and Drug Administration (FDA) [1], private pharmaceutical companies, and nonprofit organizations, as a $60 million, five-year public-private partnership. ADNI is an observational study with both cross-sectional and longitudinal follow-up components. The primary goal of ADNI has been to test whether neuroimaging, fluid and genetic biomarkers, and cognitive assessments can be combined to measure the progression of mild cognitive impairment (MCI) and early Alzheimer's disease (AD). This study employed data from the ADNI 2, which includes 225 subjects with three clinical groups (cognitively normal [CN], MCI, and AD) (https://adni.loni. usc.edu/wp-content/uploads/2008/07/ adni2-procedures-manual.pdf downloaded May 19, 2016). All subjects and their study partners completed the informed consent process, and the study protocols were reviewed and approved by the Institutional Review Board at each ADNI data collection site.

Index to Volume 20

Does physical activity influence semantic memory activation in amnestic mild cognitive impairment? Psychiatry Res

The effect of physical activity (PA) on functional brain activation for semantic memory in amnest... more The effect of physical activity (PA) on functional brain activation for semantic memory in amnestic mild cognitive impairment (aMCI) was examined using event-related fMRI during fame discrimination. Greater semantic memory activation occurred in the left caudate of High-versus Low-PA patients (P = 0.03), suggesting PA may enhance memory-related caudate activation in aMCI.

Controls in the

Research article Neuropathological findings processed by artificial neural networks (ANNs) can pe... more

ORIGINAL RESEARCH Ceruloplasmin (2-D PAGE) Pattern and Copper Content in Serum and Brain of Alzheimer Disease Patients

Abstract: A dysfunction in copper homeostasis seems to occur in Alzheimer’s disease (AD). We prev... more Abstract: A dysfunction in copper homeostasis seems to occur in Alzheimer’s disease (AD). We previously evidenced that an excess of non-ceruloplasmin-copper (NCC) correlated with the main functional, anatomical as well as cerebrospinal markers of the disease. Aim of our study was to investigate ceruloplasmin isoforms as potential actors in this AD copper dysfunction. Our data show that AD patients have ceruloplasmin fragments of low molecular weight (<50 kDa) both in their serum and brain, contrary to healthy controls. Ceruloplasmin isoforms of higher molecular weight (115 and 135 kDa in serum and 135 kDa in brain), as well as copper levels in the brain, instead, do not seem to mark a difference between AD and healthy subjects. These data suggest a ceruloplasmin fragmentation in the serum of AD patients. Some clues in this direction have been found also in the AD brain. Keywords: Alzheimer’s disease, copper, ceruloplasmin, serum, brain, SDS-PAGE.

Advances in Artificial Neural Networks

Artificial neural networks (ANNs), usually simply called neural networks (NNs), are computing sys... more Artificial neural networks (ANNs), usually simply called neural networks (NNs), are computing systems vaguely inspired by the biological neural networks that constitute animal brains.An ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit a signal to other neurons. An artificial neuron that receives a signal then processes it and can signal neurons connected to it. The "signal" at a connection is a real number, and the output of each neuron is computed by some non-linear function of the sum of its inputs. The connections are called edges. Neurons and edges typically have a weight that adjusts as learning proceeds. The weight increases or decreases the strength of the signal at a connection. Neurons may have a threshold such that a signal is sent only if the aggregate signal crosses that threshold. Typically, neurons ar...

Quantitative differences between healthy subjects and patients with Alzheimer disease in brain imaging with I-123 iodoamphetamine

Age-related Functional Recruitment During the Recognition of Famous Names: an Event-related fMRI Study

Neurobiology of Aging, 2006

Comparison between Singular Spectrum Analysis and Filtering Methods to Calculate Functional Synchrony in the Human Hippocampus Region

Filtering ABSTRACT Singular spectrum analysis (SSA) and filtering methods were employed to extrac... more Filtering ABSTRACT Singular spectrum analysis (SSA) and filtering methods were employed to extract the spontaneous low frequency components from voxel time courses acquired with a single-shot, gradient echo EPI sequence, and determine the functional synchrony in the human hippocampus region in order to distinguish Alzheimer’s disease subjects from age-matched controls. Their performances were evaluated and compared. The SSA method provided 79% better separability than the filtering method. The better separability may be due to the better extraction of the spontaneous low frequency components from noisy voxel time courses.

A comparison of the Montreal Cognitive Assessment (MoCA) to the revised Addenbrooke Cognitive Examination (ACE-R) for the screening of Mild Cognitive Impairment