[P1-471]: EFFECT OF ALZHEIMER's DISEASE ON SPATIAL PATTERN SEPARATION

2017 ◽  
Vol 13 (7S_Part_9) ◽  
pp. P469-P470
Author(s):  
Jan Laczó ◽  
Martina Parizkova ◽  
Hana Markova ◽  
Ross Andel ◽  
Martin Vyhnalek ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Spatial Pattern ◽  
Pattern Separation ◽  
Spatial Pattern Separation

Spatial Pattern Separation in Early Alzheimer’s Disease

2020 ◽  
Vol 76 (1) ◽  
pp. 121-138 ◽  
Author(s):  
Martina Parizkova ◽  
Ondrej Lerch ◽  
Ross Andel ◽  
Jana Kalinova ◽  
Hana Markova ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Spatial Pattern ◽  
Pattern Separation ◽  
Early Alzheimer’S Disease ◽  
Spatial Pattern Separation

scholarly journals Spatial Pattern Separation Testing Differentiates Alzheimer’s Disease Biomarker-Positive and Biomarker-Negative Older Adults With Amnestic Mild Cognitive Impairment

2021 ◽  
Vol 13 ◽  
Author(s):  
Martina Laczó ◽  
Ondrej Lerch ◽  
Lukas Martinkovic ◽  
Jana Kalinova ◽  
Hana Markova ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Spatial Pattern ◽  
Amnestic Mild Cognitive Impairment ◽  
Pattern Separation ◽  
Separation Performance ◽  
Spatial Pattern Separation

Background: The hippocampus, entorhinal cortex (EC), and basal forebrain (BF) are among the earliest regions affected by Alzheimer’s disease (AD) pathology. They play an essential role in spatial pattern separation, a process critical for accurate discrimination between similar locations.Objective: We examined differences in spatial pattern separation performance between older adults with amnestic mild cognitive impairment (aMCI) with AD versus those with non-Alzheimer’s pathologic change (non-AD) and interrelations between volumes of the hippocampal, EC subregions and BF nuclei projecting to these subregions (medial septal nuclei and vertical limb of the diagonal band of Broca – Ch1-2 nuclei) with respect to performance.Methods: Hundred and eighteen older adults were recruited from the Czech Brain Aging Study. Participants with AD aMCI (n = 37), non-AD aMCI (n = 26), mild AD dementia (n = 26), and cognitively normal older adults (CN; n = 29) underwent spatial pattern separation testing, cognitive assessment and brain magnetic resonance imaging.Results: The AD aMCI group had less accurate spatial pattern separation performance than the non-AD aMCI (p = 0.039) and CN (p < 0.001) groups. The AD aMCI and non-AD groups did not differ in other cognitive tests. Decreased BF Ch1-2 volume was indirectly associated with worse performance through reduced hippocampal tail volume and reduced posteromedial EC and hippocampal tail or body volumes operating in serial.Conclusion: The study demonstrates that spatial pattern separation testing differentiates AD biomarker positive and negative older adults with aMCI and provides evidence that BF Ch1-2 nuclei influence spatial pattern separation through the posteromedial EC and the posterior hippocampus.

The Effect of Immature Neurons on Spatial Pattern Separation in Hippocampal Cultured Network

2019 ◽  
Vol 139 (7) ◽  
pp. 814-815
Author(s):  
Fumika Moriya ◽  
Kenta Shimba ◽  
Kiyoshi Kotani ◽  
Yasuhiko Jimbo
Keyword(s):  
Spatial Pattern ◽  
Pattern Separation ◽  
Immature Neurons ◽  
Spatial Pattern Separation

scholarly journals Spatial pattern separation in cognitively normal young and older adults

Hippocampus ◽  
2012 ◽  
Vol 22 (9) ◽  
pp. 1826-1832 ◽  
Author(s):  
Heather M. Holden ◽  
Calhuei Hoebel ◽  
Kelly Loftis ◽  
Paul E. Gilbert
Keyword(s):  
Older Adults ◽  
Spatial Pattern ◽  
Pattern Separation ◽  
Cognitively Normal ◽  
Spatial Pattern Separation

scholarly journals Differentiating amyloid beta spread in autosomal dominant and sporadic Alzheimer's disease

2021 ◽  
Author(s):  
Elizabeth Levitis ◽  
Jacob W Vogel ◽  
Thomas Funck ◽  
Vladimir Halchinski ◽  
Serge Gauthier ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Spatial Pattern ◽  
Amyloid Beta ◽  
Large Scale ◽  
Autosomal Dominant ◽  
Model Performance ◽  
Sporadic Alzheimer’S Disease ◽  
Individual Level ◽  
Data Driven Approach

Amyloid-beta (Aβ) deposition is one of the hallmark pathologies in both sporadic Alzheimer's disease (sAD) and autosomal dominant Alzheimer's disease (ADAD), the latter of which is caused by mutations in genes involved in Aβ processing. Despite Aβ deposition being a centerpiece to both sAD and ADAD, some differences between these AD subtypes have been observed with respect to the spatial pattern of Aβ. Previous work has shown that the spatial pattern of Aβ in individuals spanning the sAD spectrum can be reproduced with high accuracy using an epidemic spreading model (ESM), which simulates the diffusion of Aβ across neuronal connections and is constrained by individual rates of Aβ production and clearance. However, it has not been investigated whether Aβ deposition in the rarer ADAD can be modeled in the same way, and if so, how congruent the spreading patterns of Aβ across sAD and ADAD are. We leverage the ESM as a data-driven approach to probe individual-level variation in the spreading patterns of Aβ across three different large-scale imaging datasets (2 SAD, 1 ADAD). We applied the ESM separately to the Alzheimer's Disease Neuroimaging initiative (N=737), the Open Access Series of Imaging Studies (N=510), and the Dominantly Inherited Alzheimer's Network (N=249), the latter two of which were processed using an identical pipeline. We assessed inter- and intra-individual model performance in each dataset separately, and further identified the most likely epicenter of Aβ spread for each individual. Using epicenters defined in previous work in sAD, the ESM provided moderate prediction of the regional pattern of Aβ deposition across all three datasets. We further find that, while the most likely epicenter for most Aβ-positive subjects overlaps with the default mode network, 13% of ADAD individuals were best characterized by a striatal origin of Aβ spread. These subjects were also distinguished by being younger than ADAD subjects with a DMN Aβ origin, despite having a similar estimated age of symptom onset. Together, our results suggest that most ADAD patients express Aβ spreading patters similar to those of sAD, but that there may be a subset of ADAD patients with a separate, striatal phenotype.

scholarly journals The Computerized Cognitive Composite (C3) in A4, an Alzheimer’s Disease Secondary Prevention Trial

2020 ◽  
pp. 1-9
Author(s):  
K.V. Papp ◽  
D.M. Rentz ◽  
P. Maruff ◽  
C.-K. Sun ◽  
R. Raman ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
Secondary Prevention ◽  
Associative Memory ◽  
Quantitative Methods ◽  
Pattern Separation ◽  
Prevention Trial ◽  
Secondary Prevention Trial ◽  
Trial Efficiency

Background: Computerized cognitive assessments may improve Alzheimer’s disease (AD) secondary prevention trial efficiency and accuracy. However, they require validation against standard outcomes and relevant biomarkers. Objective: To assess the feasibility and validity of the tablet-based Computerized Cognitive Composite (C3). Design: Cross-sectional analysis of cognitive screening data from the A4 study (Anti-Amyloid in Asymptomatic AD). Setting: Multi-center international study. Participants: Clinically normal (CN) older adults (65-85; n=4486). Measurements: Participants underwent florbetapir-Positron Emission Tomography for Aβ+/- classification. They completed the C3 and standard paper and pencil measures included in the Preclinical Alzheimer’s Cognitive Composite (PACC). The C3 combines memory measures sensitive to change over time (Cogstate Brief Battery-One Card Learning) and measures shown to be declining early in AD including pattern separation (Behavioral Pattern Separation Test- Object- Lure Discrimination Index) and associative memory (Face Name Associative Memory Exam- Face-Name Matching). C3 acceptability and completion rates were assessed using qualitative and quantitative methods. C3 performance was explored in relation to Aβ+/- groups (n=1323/3163) and PACC. Results: C3 was feasible for CN older adults to complete. Rates of incomplete or invalid administrations were extremely low, even in the bottom quartile of cognitive performers (PACC). C3 was moderately correlated with PACC (r=0.39). Aβ+ performed worse on C3 compared with Aβ- [unadjusted Cohen’s d=-0.22 (95%CI: -0.31,-0.13) p<0.001] and at a magnitude comparable to the PACC [d=-0.32 (95%CI: -0.41,-0.23) p<0.001]. Better C3 performance was observed in younger, more educated, and female participants. Conclusions: These findings provide support for both the feasibility and validity of C3 and computerized cognitive outcomes more generally in AD secondary prevention trials.

scholarly journals Memory for Spatial Location: Role of the Hippocampus in Mediating Spatial Pattern Separation

1998 ◽  
Vol 18 (2) ◽  
pp. 804-810 ◽  
Author(s):  
Paul E. Gilbert ◽  
Raymond P. Kesner ◽  
William E. DeCoteau
Keyword(s):  
Spatial Pattern ◽  
Spatial Location ◽  
Pattern Separation ◽  
Spatial Pattern Separation

Genetic Alzheimer’s Disease Risk Affects the Neural Mechanisms of Pattern Separation in Hippocampal Subfields

2020 ◽  
Vol 30 (21) ◽  
pp. 4201-4212.e3
Author(s):  
Hweeling Lee ◽  
Rüdiger Stirnberg ◽  
Sichu Wu ◽  
Xin Wang ◽  
Tony Stöcker ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Disease Risk ◽  
Neural Mechanisms ◽  
Pattern Separation ◽  
Hippocampal Subfields

scholarly journals Running enhances spatial pattern separation in mice

2010 ◽  
Vol 107 (5) ◽  
pp. 2367-2372 ◽  
Author(s):  
David J. Creer ◽  
Carola Romberg ◽  
Lisa M. Saksida ◽  
Henriette van Praag ◽  
Timothy J. Bussey
Keyword(s):  
Physical Activity ◽  
Spatial Pattern ◽  
Hippocampal Neurogenesis ◽  
Pattern Separation ◽  
Regular Exercise ◽  
Brain Health ◽  
Voluntary Running ◽  
Spatial Pattern Separation ◽  
Cell Genesis ◽  
Old Mice

Increasing evidence suggests that regular exercise improves brain health and promotes synaptic plasticity and hippocampal neurogenesis. Exercise improves learning, but specific mechanisms of information processing influenced by physical activity are unknown. Here, we report that voluntary running enhanced the ability of adult (3 months old) male C57BL/6 mice to discriminate between the locations of two adjacent identical stimuli. Improved spatial pattern separation in adult runners was tightly correlated with increased neurogenesis. In contrast, very aged (22 months old) mice had impaired spatial discrimination and low basal cell genesis that was refractory to running. These findings suggest that the addition of newly born neurons may bolster dentate gyrus-mediated encoding of fine spatial distinctions.

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