scholarly journals Relevance of a Novel Circuit-Level Model of Episodic Memories to Alzheimer’s Disease

2021 ◽  
Vol 23 (1) ◽  
pp. 462
Author(s):  
Krisztián A. Kovács

The medial temporal lobe memory system has long been identified as the brain region showing the first histopathological changes in early Alzheimer’s disease (AD), and the functional decline observed in patients also points to a loss of function in this brain area. Nonetheless, the exact identity of the neurons and networks that undergo deterioration has not been determined so far. A recent study has identified the entorhinal and hippocampal neural circuits responsible for encoding new episodic memories. Using this novel model we describe the elements of the episodic memory network that are especially vulnerable in early AD. We provide a hypothesis of how reduced reelin signaling within such a network can promote AD-related changes. Establishing novel associations and creating a temporal structure for new episodic memories are both affected in AD. Here, we furnish a reasonable explanation for both of these previous observations.

2012 ◽  
Vol 8 (4S_Part_9) ◽  
pp. P345-P346
Author(s):  
Samaneh Kazemifar ◽  
John Drozd ◽  
Nagalingam Rajakumar ◽  
Michael Borrie ◽  
Robert Bartha

2021 ◽  
pp. 1-8
Author(s):  
Neda Shafiee ◽  
Mahsa Dadar ◽  
Simon Ducharme ◽  
D. Louis Collins ◽  

Background: While both cognitive and magnetic resonance imaging (MRI) data has been used to predict progression in Alzheimer’s disease, heterogeneity between patients makes it challenging to predict the rate of cognitive and functional decline for individual subjects. Objective: To investigate prognostic power of MRI-based biomarkers of medial temporal lobe atrophy and macroscopic tissue change to predict cognitive decline in individual patients in clinical trials of early Alzheimer’s disease. Methods: Data used in this study included 312 patients with mild cognitive impairment from the ADNI dataset with baseline MRI, cerebrospinal fluid amyloid-β, cognitive test scores, and a minimum of two-year follow-up information available. We built a prognostic model using baseline cognitive scores and MRI-based features to determine which subjects remain stable and which functionally decline over 2 and 3-year follow-up periods. Results: Combining both sets of features yields 77%accuracy (81%sensitivity and 75%specificity) to predict cognitive decline at 2 years (74%accuracy at 3 years with 75%sensitivity and 73%specificity). When used to select trial participants, this tool yields a 3.8-fold decrease in the required sample size for a 2-year study (2.8-fold decrease for a 3-year study) for a hypothesized 25%treatment effect to reduce cognitive decline. Conclusion: When used in clinical trials for cohort enrichment, this tool could accelerate development of new treatments by significantly increasing statistical power to detect differences in cognitive decline between arms. In addition, detection of future decline can help clinicians improve patient management strategies that will slow or delay symptom progression.


2014 ◽  
Vol 10 ◽  
pp. P822-P822 ◽  
Author(s):  
Sandhitsu Das ◽  
John Pluta ◽  
Lauren Mancuso ◽  
Dasha Kliot ◽  
Paul Yushkevich ◽  
...  

2012 ◽  
Vol 8 (4S_Part_1) ◽  
pp. P29-P30
Author(s):  
Samaneh Kazemifar ◽  
John Drozd ◽  
Nagalingam Rajakumar ◽  
Michael Borrie ◽  
Robert Bartha

Brain ◽  
2016 ◽  
Vol 139 (7) ◽  
pp. 1877-1890 ◽  
Author(s):  
John P. Aggleton ◽  
Agathe Pralus ◽  
Andrew J. D. Nelson ◽  
Michael Hornberger

Brain ◽  
2021 ◽  
Author(s):  
David Berron ◽  
Danielle van Westen ◽  
Rik Ossenkoppele ◽  
Olof Strandberg ◽  
Oskar Hansson

2008 ◽  
Vol 14 (4) ◽  
pp. 591-600 ◽  
Author(s):  
G.J. LOWNDES ◽  
M.M. SALING ◽  
D. AMES ◽  
E. CHIU ◽  
L.M. GONZALEZ ◽  
...  

The primary impairment in early Alzheimer's disease (AD) is encoding/consolidation, resulting from medial temporal lobe (MTL) pathology. AD patients perform poorly on cued-recall paired associate learning (PAL) tasks, which assess the ability of the MTLs to encode relational memory. Since encoding and retrieval processes are confounded within performance indexes on cued-recall PAL, its specificity for AD is limited. Recognition paradigms tend to show good specificity for AD, and are well tolerated, but are typically less sensitive than recall tasks. Associate-recognition is a novel PAL task requiring a combination of recall and recognition processes. We administered a verbal associate-recognition test and cued-recall analogue to 22 early AD patients and 55 elderly controls to compare their ability to discriminate these groups. Both paradigms used eight arbitrarily related word pairs (e.g., pool-teeth) with varying degrees of imageability. Associate-recognition was equally effective as the cued-recall analogue in discriminating the groups, and logistic regression demonstrated classification rates by both tasks were equivalent. These preliminary findings provide support for the clinical value of this recognition tool. Conceptually it has potential for greater specificity in informing neuropsychological diagnosis of AD in clinical samples but this requires further empirical support. (JINS, 2008, 14, 591–600.)


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