Dementia Syndromes in Late Life

Author(s):  
Shellie-Anne T. Levy ◽  
Glenn E. Smith

Dementia, also now known as major neurocognitive disorder, is a syndrome involving decline in two or more areas of cognitive function sufficient to disrupt a person’s daily function. Mild cognitive impairment (MCI), also known as minor neurocognitive disorder, represents a syndrome on the continuum of cognitive decline that is a stage prior to development of functional deficits. It involves decline in one or more areas of cognitive function with independence in instrumental activities of daily living, even though they may require greater effort or compensation on the part of the individual. Neuropsychological assessment of cognition and behavior provides the most powerful biomarkers for MCI and dementia syndromes associated with neurodegenerative diseases. Discrete cognitive and behavioral patterns that occur early in the course of cognitive decline aids in differential clinical diagnosis. Additionally, all diagnostic schemes for dementia syndromes include criteria that require the appraisal of functional status, which tests an individual’s capacity to engage in decision making and carry out activities of daily living independently. Methods for assessing functional status have historically had poor reliability and validity. Nevertheless, in a clinical setting, neuropsychologists rely on a combination of self-report, collateral informants, caregiver questionnaires, and objective performance-based measures to better assess functional status. Revisions to clinical criteria for dementia reflect the adoption of new research diagnostic criteria for neurodegenerative diseases, largely driven by the National Institutes of Aging (NIA) and the Alzheimer’s Association 2011 research criteria for Alzheimer’s disease (AD). The new approach differentiates the syndromic presentations common to most neurodegenerative diseases from the etiologies (AD, LBD, VaD, etc.) based on biomarkers. In the preclinical stage, biomarker abnormalities are present years before clinical symptom manifestation. In mild cognitive impairment stage, there is a report/concern for cognitive change by the patient, informant, or clinician. There is objective cognitive decline from estimated premorbid functioning and preserved independence in functional abilities. In the dementia stage, in the context of impaired functional status, there may be prominent cognitive and behavioral symptoms that may involve impairment in memory, executive function, visuospatial functioning, and language, as well as changes in personality and behavior. The most common dementias are AD, dementia with Lewy bodies (DLB), frontotemporal dementia (FTD), and vascular dementia (VaD). All can follow a trajectory of cognitive decline similar to the aforementioned stages and are associated with neuropathogenic mechanisms that may or may not be distinctive for a particular syndrome. Briefly, Alzheimer’s dementia is associated with accumulation of amyloid plaques and tau neurofibrillary tangles. Lewy body dementias (i.e., Parkinson’s disease dementia and DLB) are characterized by Lewy bodies (alpha-synuclein aggregates) and Lewy neurites in the brainstem, limbic system, and cortical regions; DLB is also associated with diffuse amyloid plaques. Frontotemporal dementia is a conglomerate of syndromes that may overlap and include behavioral variant FTD, semantic dementia, and primary progressive aphasia (PPA). FTD dementia syndromes are marked by frontotemporal lobar degeneration (FTLD) caused by pathophysiological processes involving FTLD-tau, FTLD-TDP, FTLD-FUS, or their combination, as well as beta amyloid. Lastly, vascular dementia is associated with cerebrovascular disease that can include large artery occlusions, microinfarcts, brain hemorrhages, and silent brain infarcts; comorbid AD pathology may lower the threshold for dementia conversion. There is an emerging shift in the field toward exploring prevention strategies for dementia. Given the lack of precision in our language regarding the distinction between dementia syndromes and etiologies, we can reallocate some of our efforts to preventing dementia more broadly rather than intervening on a certain pathology. Research already supports that many individuals have biomarker evidence of brain pathology without showing cognitive impairment or even sufficient levels of pathology in the brain to warrant a diagnosis without ever displaying the clinical syndrome of dementia. That said, building cognitive reserve or resilience through lifestyle and behavioral factors may slow the rate of cognitive decline and prevent the risk of a future dementia epidemic.

2017 ◽  
Vol 62 (3) ◽  
pp. 161-169 ◽  
Author(s):  
Damien Gallagher ◽  
Corinne E. Fischer ◽  
Andrea Iaboni

Objective: Neuropsychiatric symptoms (NPS) may be the first manifestation of an underlying neurocognitive disorder. We undertook a review to provide an update on the epidemiology and etiological mechanisms of NPS that occur in mild cognitive impairment (MCI) and just before the onset of MCI. We discuss common clinical presentations and the implications for diagnosis and care. Method: The authors conducted a selective review of the literature regarding the emergence of NPS in late life, before and after the onset of MCI. We discuss recent publications that explore the epidemiology and etiological mechanisms of NPS in the earliest clinical stages of these disorders. Results: NPS have been reported in 35% to 85% of adults with MCI and also occur in advance of cognitive decline. The occurrence of NPS for the first time in later life should increase suspicion for an underlying neurocognitive disorder. The presenting symptom may provide a clue regarding the etiology of the underlying disorder, and the co-occurrence of NPS may herald a more accelerated cognitive decline. Conclusions: NPS are prevalent in the early clinical stages of neurocognitive disorders and can serve as both useful diagnostic and prognostic indicators. Recognition of NPS as early manifestations of neurocognitive disorders will become increasingly important as we move towards preventative strategies and disease-modifying treatments that may be most effective when deployed in the earliest stages of disease.


2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Alexandru Hanganu ◽  
Oury Monchi

Cognitive impairment in patients with Parkinson’s disease is a major challenge since it has been established that 25 to 40% of patients will develop cognitive impairment early in the disease. Furthermore, it has been reported that up to 80% of Parkinsonian patients will eventually develop dementia. Thus, it is important to improve the diagnosing procedures in order to detect cognitive impairment at early stages of development and to delay as much as possible the developing of dementia. One major challenge is that patients with mild cognitive impairment exhibit measurable cognitive deficits according to recently established criteria, yet those deficits are not severe enough to interfere with daily living, hence being avoided by patients, and might be overseen by clinicians. Recent advances in neuroimaging brain analysis allowed the establishment of several anatomical markers that have the potential to be considered for early detection of cognitive impairment in Parkinsonian patients. This review aims to outline the neuroimaging possibilities in diagnosing cognitive impairment in patients with Parkinson’s disease and to take into consideration the near-future possibilities of their implementation into clinical practice.


2017 ◽  
Author(s):  
Shashank Beesam ◽  
George Grossberg ◽  
Eric Marin

Alzheimer disease is thought to have an insidious progression, with asymptomatic brain changes occurring decades prior to formal diagnosis. In recent years, efforts have been made to identify and characterize these changes into a spectrum beginning with subjective cognitive decline through the development of major neurocognitive disorder. Through this process, progress has been made into the predictive factors, prevention, and treatment modalities for the various stages of cognitive decline. In addition to pharmacologic therapies, studies have shown the value in physical, mental, social, and spiritual activity combined with support from physicians, family, and caregivers. Furthermore, individualized care, open and honest physician-patient dialogue, and emphasis on lifestyle modifications have been shown to achieve optimal quality of life and may also decrease the rate of cognitive decline. This review contains 5 figures, 5 tables, and 36 references. Key words: age-related cognitive decline, Alzheimer disease, major neurocognitive disorder, mild cognitive impairment, mild neurocognitive disorder, senior moment, subjective cognitive impairment


Author(s):  
Deepti Marchment ◽  
Dennis Chan

Mild cognitive impairment (MCI) is a descriptive term that in essence refers to the presence of cognitive impairment out of keeping with normal ageing but of insufficient severity to constitute dementia. Debate continues as to whether MCI represents a discrete syndrome, a transitional state, or a prodrome for a variety of neurodegenerative diseases: it is at present considered to be heterogeneous both in terms of clinical presentation and aetiology. This chapter outlines how the concept of MCI has evolved to its current form and summarizes its diagnostic criteria, epidemiology, prognosis, underlying aetiologies, and pathophysiology. It briefly covers related phenomena such as subjective cognitive decline and mild behavioural impairment. It explores the role of biomarkers and neuroimaging in investigating MCI in clinical and research settings and finally concludes with a proposed clinician’s approach to the diagnosis and management of MCI.


2021 ◽  
Author(s):  
Joan Prats-Climent ◽  
Maria Teresa Gandia-Ferrero ◽  
Irene Torres-Espallardo ◽  
Lourdes Álvarez-Sanchez ◽  
Begoña Martínez-Sanchis ◽  
...  

Abstract Purpose The purpose of this project is to develop and externally validate a Deep Learning (DL) FDG PET imaging algorithm able to identify patients with Alzheimer's Disease (AD), Frontotemporal Degeneration (FTD) and Dementia with Lewy Bodies (DLB) among a group of patients with Mild Cognitive Impairment (MCI). Methods A 3D Convolutional neural network, trained using images from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, was implemented. The ADNI dataset used for training and testing the model consisted of 822 subjects (472 AD and 350 MCI). The external validation was performed on an independent dataset from our hospital. The hospital real world dataset contains 90 subjects with MCI: 71 patients that developed a neurodegenerative disease (64 AD, 4 FTD and 3 DLB) and 19 subjects without associated neurodegenerative disease. Results The ADNI model had 79% accuracy, 88% sensitivity and 71% specificity in the identification of patients with neurodegenerative diseases tested on the 10% ADNI dataset, achieving an area under the receiver operating characteristic curve (AUC) of 0.897. When used for the external validation, the model preserved 77% accuracy, 75% sensitivity, 84% specificity and 0.860 area under the ROC curve. Conclusion This model based on FDG PET images can help the early non-invasive prediction of neurodegenerative diseases in MCI patients in standard clinical settings with an overall 77% classification accuracy.


Sign in / Sign up

Export Citation Format

Share Document