Keyword search (4,163 papers available)

"neuropsychology" Keyword-tagged Publications:

Title Authors PubMed ID
1 Overcoming boundaries: Interdisciplinary challenges and opportunities in cognitive neuroscience Brignol A; Paas A; Sotelo-Castro L; St-Onge D; Beltrame G; Coffey EBJ; 38750788
PSYCHOLOGY
2 A network approach to subjective cognitive decline: Exploring multivariate relationships in neuropsychological test performance across Alzheimer's disease risk states Grunden N; Phillips NA; ; 38458017
PSYCHOLOGY
3 Post-COVID-19 fatigue: the contribution of cognitive and neuropsychiatric symptoms Calabria M; García-Sánchez C; Grunden N; Pons C; Arroyo JA; Gómez-Anson B; Estévez García MDC; Belvís R; Morollón N; Vera Igual J; Mur I; Pomar V; Domingo P; 35488918
PSYCHOLOGY
4 Neuropsychological deficits in patients with cognitive complaints after COVID-19 García-Sánchez C; Calabria M; Grunden N; Pons C; Arroyo JA; Gómez-Anson B; Lleó A; Alcolea D; Belvís R; Morollón N; Mur I; Pomar V; Domingo P; 35137561
PSYCHOLOGY
5 Evidence of a Relation Between Hippocampal Volume, White Matter Hyperintensities, and Cognition in Subjective Cognitive Decline and Mild Cognitive Impairment Caillaud M; Hudon C; Boller B; Brambati S; Duchesne S; Lorrain D; Gagnon JF; Maltezos S; Mellah S; Phillips N; Belleville S; 31758692
CRDH
6 Brain perfusion during rapid-eye-movement sleep successfully identifies amnestic mild cognitive impairment. Brayet P, Petit D, Baril AA, Gosselin N, Gagnon JF, Soucy JP, Gauthier S, Kergoat MJ, Carrier J, Rouleau I, Montplaisir J 28522082
PERFORM

 

Title:A network approach to subjective cognitive decline: Exploring multivariate relationships in neuropsychological test performance across Alzheimer's disease risk states
Authors:Grunden NPhillips NA
Link:https://pubmed.ncbi.nlm.nih.gov/38458017/
DOI:10.1016/j.cortex.2024.02.005
Publication:Cortex, a journal devoted to the study of the nervous system and behavior
Keywords:Network analysisNeuropsychologySubjective cognitive decline
PMID:38458017 Category: Date Added:2024-03-09
Dept Affiliation: PSYCHOLOGY
1 Department of Psychology, Concordia University, Montréal, Canada; Canadian Consortium on Neurodegeneration in Aging (CCNA), Canada; Centre for Research on Brain, Language and Music (CRBLM), Montréal, Canada; Centre for Research in Human Development (CRDH), Montréal, Canada.
2 Department of Psychology, Concordia University, Montréal, Canada; Canadian Consortium on Neurodegeneration in Aging (CCNA), Canada; Centre for Research on Brain, Language and Music (CRBLM), Montréal, Canada; Centre for Research in Human Development (CRDH), Montréal, Canada. Electronic address: natalie.phillips@concordia.ca.

Description:

Subjective cognitive decline (SCD) is characterized by subjective concerns of cognitive change despite test performance within normal range. Although those with SCD are at higher risk for developing further cognitive decline, we still lack methods using objective cognitive measures that reliably distinguish SCD from cognitively normal aging at the group level. Network analysis may help to address this by modeling cognitive performance as a web of intertwined cognitive abilities, providing insight into the multivariate associations determining cognitive status. Following previous network studies of mild cognitive impairment (MCI) and Alzheimer's dementia (AD), the current study centered upon the novel visualization and analysis of the SCD cognitive network compared to cognitively normal (CN) older adult, MCI, and AD group networks. Cross-sectional neuropsychological data from CIMA-Q and COMPASS-ND cohorts were used to construct Gaussian graphical models for CN (n = 122), SCD (n = 207), MCI (n = 210), and AD (n = 79) groups. Group networks were explored in terms of global network structure, prominent edge weights, and strength centrality indices. CN and SCD group networks were contrasted using the Network Comparison Test. Results indicate that CN and SCD groups did not differ in univariate cognitive performance or global network structure. However, measures of strength centrality, principally in executive functioning and processing speed, showed a CN-SCD-MCI gradient where subtle differences within the SCD network suggest that SCD is an intermediary between CN and MCI stages. Additional results may indicate a distinctiveness of network structure in AD, a reversal in network influence between age and general cognitive status as clinical impairment increases, and potential evidence for cognitive reserve. Together, these results provide evidence that network-specific metrics are sensitive to cognitive performance changes across the dementia risk spectrum and can help to objectively distinguish SCD group cognitive performance from that of the CN group.





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