Keyword search (4,163 papers available)

"network analysis" Keyword-tagged Publications:

Title Authors PubMed ID
1 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
2 Dense Sampling Approaches for Psychiatry Research: Combining Scanners and Smartphones McGowan AL; Sayed F; Boyd ZM; Jovanova M; Kang Y; Speer ME; Cosme D; Mucha PJ; Ochsner KN; Bassett DS; Falk EB; Lydon-Staley DM; 36797176
PSYCHOLOGY
3 Personal Social Networks and Adiposity in Adolescents: A Feasibility Study Ybarra M; Barnett TA; Yu J; Van Hulst A; Drouin O; Kakinami L; Saint-Charles J; Henderson M; 34264758
MATHSTATS
4 Clustering of Unhealthy Behaviors: Protocol for a Multiple Behavior Analysis of Data From the Canadian Longitudinal Study on Aging van Allen Z; Bacon SL; Bernard P; Brown H; Desroches S; Kastner M; Lavoie K; Marques M; McCleary N; Straus S; Taljaard M; Thavorn K; Tomasone JR; Presseau J; 34114962
HKAP
5 Identifying potential drug targets and candidate drugs for COVID-19: biological networks and structural modeling approaches Selvaraj G; Kaliamurthi S; Peslherbe GH; Wei DQ; 33968364
CERMM

 

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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