scholarly journals Automatic memory processes in normal ageing and Alzheimer's disease

Cortex ◽  
2008 ◽  
Vol 44 (3) ◽  
pp. 345-349 ◽  
Author(s):  
John M. Hudson
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Memory Processes ◽  
Normal Ageing ◽  
Automatic Memory Processes ◽  
Automatic Memory

Further Exploration of Controlled and Automatic Memory Processes in Early Alzheimer's Disease.

2005 ◽  
Vol 19 (4) ◽  
pp. 420-427 ◽  
Author(s):  
Stéphane Adam ◽  
Martial Van der Linden ◽  
Fabienne Collette ◽  
Laurence Lemauvais ◽  
Eric Salmon
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Memory Processes ◽  
Automatic Memory Processes ◽  
Early Alzheimer’S Disease ◽  
Automatic Memory

Effect of intranasally administered cholecystokinin on encoding of controlled and automatic memory processes

2008 ◽  
Vol 202 (4) ◽  
pp. 559-567 ◽  
Author(s):  
Ronald Schneider ◽  
Judith Osterburg ◽  
Axel Buchner ◽  
Reinhard Pietrowsky
Keyword(s):  
Memory Processes ◽  
Automatic Memory Processes ◽  
Automatic Memory

Testosterone biases automatic memory processes in women towards potential mates

NeuroImage ◽  
2008 ◽  
Vol 43 (1) ◽  
pp. 114-120 ◽  
Author(s):  
Guido van Wingen ◽  
Claudia Mattern ◽  
Robbert Jan Verkes ◽  
Jan Buitelaar ◽  
Guillén Fernández
Keyword(s):  
Memory Processes ◽  
Automatic Memory Processes ◽  
Automatic Memory

Production of complex syntax in normal ageing and alzheimer's disease

1995 ◽  
Vol 10 (5) ◽  
pp. 487-539 ◽  
Author(s):  
Elizabeth Bates ◽  
Christine Harris ◽  
Virginia Marchman ◽  
Beverly Wulfeck ◽  
Mark Kritchevsky
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Complex Syntax ◽  
Normal Ageing

scholarly journals Alzheimer's disease: rapid and slow progression

2011 ◽  
Vol 9 (66) ◽  
pp. 119-126 ◽  
Author(s):  
Craig J. Thalhauser ◽  
Natalia L. Komarova
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Quantitative Analysis ◽  
Disease Progression ◽  
Functional Assessment ◽  
Severe Dementia ◽  
Slow Progression ◽  
Normal Ageing ◽  
Fast Procedure ◽  
Fast Stage

The variability in the progression of Alzheimer's disease (AD) across patients has made identification of disease-delaying treatments difficult. Quantitative analysis of this variability has important implications in understanding the pathophysiology of AD and identifying disease-delaying treatments. The functional assessment staging (FAST) procedure characterizes seven stages in the course of AD from normal ageing to severe dementia. The present study applied statistical methods to analyse FAST stage durations from a dataset of 648 AD patients. These methods uncovered two distinct types of disease progression, characterized by different mean progression rates. We identified two separate distributions of FAST stage progression times differing by up to 2 years in mean duration within each stage. These results further indicate that if a patient progresses rapidly through a given FAST stage, then their further progression is also likely to be rapid. These findings support the hypothesis that progression of AD can occur via two different pathophysiological mechanisms that lead to distinct average rates of decline.

scholarly journals The cerebellum shrinks faster than normal ageing in Alzheimer's disease but not in mild cognitive impairment

2017 ◽  
Vol 38 (6) ◽  
pp. 3141-3150 ◽  
Author(s):  
Hossein Tabatabaei-Jafari ◽  
Erin Walsh ◽  
Marnie E. Shaw ◽  
Nicolas Cherbuin ◽  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Normal Ageing

Patterns of brain atrophy on magnetic resonance imaging and the boundary between ageing and Alzheimer's disease

2009 ◽  
Vol 19 (4) ◽  
pp. 295-307 ◽  
Author(s):  
Mike O'Sullivan
Keyword(s):  
Magnetic Resonance Imaging ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Magnetic Resonance ◽  
Practical Knowledge ◽  
Resonance Imaging ◽  
Early Assessment ◽  
Computational Neuroanatomy ◽  
Advantages And Disadvantages ◽  
Normal Ageing

SummaryClinicians are increasingly faced with the problem of interpreting subtle, early cognitive symptoms. Enhanced awareness of Alzheimer's disease (AD) and available treatments has led to a growing demand for early assessment. Although it is known that a proportion of individuals with mild cognitive impairment will progress to dementia in following years, our ability to identify these individuals and predict individual cognitive trajectories is limited. The emergence of disease-modifying treatments would make these problems more acute. In this review, the potential role of magnetic resonance imaging (MRI) in aiding the clinician in early diagnosis of AD will be considered. The changes in grey matter structure that accompany ‘normal’ ageing will be described briefly, before moving on to studies that have attempted to distinguish the onset of disease from this background of structural change. Volumetric methods range from measurements of single key structures, such as the hippocampus, to methods based on computational neuroanatomy, which evaluate subtle structural alterations across the whole brain simultaneously. Computational methods are rapidly evolving and already perform as well as radiologists in distinguishing AD from normal ageing at an individual level. This article aims to provide a practical knowledge of how and why these methods work, point out the main advantages and disadvantages and sketch out outstanding issues and possible future directions.

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