Characteristics of Verbal and Visuospatial Memory in Mild Cognitive Impairment

2014 ◽  
Author(s):  
Haewon Byeon
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Visuospatial Memory

scholarly journals EEG Alpha and Beta Band Functional Connectivity and Network Structure Mark Hub Overload in Mild Cognitive Impairment During Memory Maintenance

2021 ◽  
Vol 13 ◽  
Author(s):  
Zsuzsanna Fodor ◽  
András Horváth ◽  
Zoltán Hidasi ◽  
Alida A. Gouw ◽  
Cornelis J. Stam ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Functional Connectivity ◽  
Network Analysis ◽  
Network Topology ◽  
Medial Temporal Lobe ◽  
Memory Load ◽  
Control Group ◽  
Visuospatial Memory ◽  
Beta Band

Background: While decreased alpha and beta-band functional connectivity (FC) and changes in network topology have been reported in Alzheimer’s disease, it is not yet entirely known whether these differences can mark cognitive decline in the early stages of the disease. Our study aimed to analyze electroencephalography (EEG) FC and network differences in the alpha and beta frequency band during visuospatial memory maintenance between Mild Cognitive Impairment (MCI) patients and healthy elderly with subjective memory complaints.Methods: Functional connectivity and network structure of 17 MCI patients and 20 control participants were studied with 128-channel EEG during a visuospatial memory task with varying memory load. FC between EEG channels was measured by amplitude envelope correlation with leakage correction (AEC-c), while network analysis was performed by applying the Minimum Spanning Tree (MST) approach, which reconstructs the critical backbone of the original network.Results: Memory load (increasing number of to-be-learned items) enhanced the mean AEC-c in the control group in both frequency bands. In contrast to that, after an initial increase, the MCI group showed significantly (p < 0.05) diminished FC in the alpha band in the highest memory load condition, while in the beta band this modulation was absent. Moreover, mean alpha and beta AEC-c correlated significantly with the size of medial temporal lobe structures in the entire sample. The network analysis revealed increased maximum degree, betweenness centrality, and degree divergence, and decreased diameter and eccentricity in the MCI group compared to the control group in both frequency bands independently of the memory load. This suggests a rerouted network in the MCI group with a more centralized topology and a more unequal traffic load distribution.Conclusion: Alpha- and beta-band FC measured by AEC-c correlates with cognitive load-related modulation, with subtle medial temporal lobe atrophy, and with the disruption of hippocampal fiber integrity in the earliest stages of cognitive decline. The more integrated network topology of the MCI group is in line with the “hub overload and failure” framework and might be part of a compensatory mechanism or a consequence of neural disinhibition.

scholarly journals VisMET: a passive, efficient, and sensitive assessment of visuospatial memory in healthy aging, mild cognitive impairment, and Alzheimer's disease

2019 ◽  
Vol 26 (3) ◽  
pp. 93-100 ◽  
Author(s):  
Rafi U. Haque ◽  
Cecelia M. Manzanares ◽  
Lavonda N. Brown ◽  
Alvince L. Pongos ◽  
James J. Lah ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Healthy Aging ◽  
Visuospatial Memory

Real-world navigation in amnestic mild cognitive impairment: The relation to visuospatial memory and volume of hippocampal subregions

2018 ◽  
Vol 109 ◽  
pp. 86-94 ◽  
Author(s):  
Jessica Peter ◽  
Richard Sandkamp ◽  
Lora Minkova ◽  
Lena V. Schumacher ◽  
Christoph P. Kaller ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Real World ◽  
Amnestic Mild Cognitive Impairment ◽  
Visuospatial Memory

scholarly journals Combining Structural Magnetic Resonance Imaging and Visuospatial Tests to Classify Mild Cognitive Impairment

2018 ◽  
Vol 15 (3) ◽  
pp. 237-246 ◽  
Author(s):  
Fabrizio Fasano ◽  
Micaela Mitolo ◽  
Simona Gardini ◽  
Annalena Venneri ◽  
Paolo Caffarra ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Machine Learning ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Magnetic Resonance ◽  
Early Stage ◽  
Cognitive Test ◽  
Visuospatial Memory ◽  
Resonance Imaging ◽  
Structural Magnetic Resonance Imaging

Background: Recently, efforts have been made to combine complementary perspectives in the assessment of Alzheimer type dementia. Of particular interest is the definition of the fingerprints of an early stage of the disease known as Mild Cognitive Impairment or prodromal Alzheimer's Disease. Machine learning approaches have been shown to be extremely suitable for the implementation of such a combination. Methods: In the present pilot study we combined the machine learning approach with structural magnetic resonance imaging and cognitive test assessments to classify a small cohort of 11 healthy participants and 11 patients experiencing Mild Cognitive Impairment. Cognitive assessment included a battery of standardised tests and a battery of experimental visuospatial memory tests. Correct classification was achieved in 100% of the participants, suggesting that the combination of neuroimaging with more complex cognitive tests is suitable for early detection of Alzheimer Disease. Results: In particular, the results highlighted the importance of the experimental visuospatial memory test battery in the efficiency of classification, suggesting that the high-level brain computational framework underpinning the participant's performance in these ecological tests may represent a “natural filter” in the exploration of cognitive patterns of information able to identify early signs of the disease.

Visuospatial Memory and Neuroimaging Correlates in Mild Cognitive Impairment

2013 ◽  
Vol 35 (1) ◽  
pp. 75-90 ◽  
Author(s):  
Micaela Mitolo ◽  
Simona Gardini ◽  
Fabrizio Fasano ◽  
Girolamo Crisi ◽  
Annalisa Pelosi ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Visuospatial Memory

Toward Identifying Mild Cognitive Impairment in Hispanic and African American Adults

2017 ◽  
Vol 2 (2) ◽  
pp. 110-116
Author(s):  
Valarie B. Fleming ◽  
Joyce L. Harris
Keyword(s):  
Older Adults ◽  
African American ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Healthcare Access ◽  
Communication Disorders ◽  
Healthcare Systems ◽  
Prevention Education ◽  
Education Management ◽  
African American Adults

Across the breadth of acquired neurogenic communication disorders, mild cognitive impairment (MCI) may go undetected, underreported, and untreated. In addition to stigma and distrust of healthcare systems, other barriers contribute to decreased identification, healthcare access, and service utilization for Hispanic and African American adults with MCI. Speech-language pathologists (SLPs) have significant roles in prevention, education, management, and support of older adults, the population must susceptible to MCI.

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