Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313331687> ?p ?o ?g. }
- W4313331687 abstract "Alzheimer's disease (AD) and frontotemporal dementia (FTD) show network dysfunctions linked with cognitive deficits. Within this framework, network abnormalities between AD and FTD show both convergent and divergent patterns. However, these functional patterns are far from being established and their relevance to cognitive processes remains to be elucidated.We investigated the relationship between cognition and functional connectivity of major cognitive networks in these diseases. Twenty-three bvFTD (age: 71±10), 22 AD (age: 72±6), and 20 controls (age: 72±6) underwent cognitive evaluation and resting-state functional MRI. Principal component analysis was used to describe cognitive variance across participants. Brain network connectivity was estimated with connectome analysis. Connectivity matrices were created assessing correlations between parcels within each functional network. The following cognitive networks were considered: default mode (DMN), dorsal attention (DAN), ventral attention (VAN), and frontoparietal (FPN) networks. The relationship between cognition and connectivity was assessed using a bootstrapping correlation and interaction analyses.Three principal cognitive components explained more than 80% of the cognitive variance: the first component (cogPC1) loaded on memory, the second component (cogPC2) loaded on emotion and language, and the third component (cogPC3) loaded on the visuo-spatial and attentional domains. Compared to HC, AD and bvFTD showed impairment in all cogPCs (p<0.002), and bvFTD scored worse than AD in cogPC2 (p=0.031). At the network level, the DMN showed a significant association in the whole group with cogPC1 and cogPC2 and the VAN with cogPC2. By contrast, DAN and FPN showed a divergent pattern between diagnosis and connectivity for cogPC2. We confirmed these results by means of a multivariate analysis (canonical correlation).A low-dimensional representation can account for a large variance in cognitive scores in the continuum from normal to pathological aging. Moreover, cognitive components showed both convergent and divergent patterns with connectivity across AD and bvFTD. The convergent pattern was observed across the networks primarily involved in these diseases (i.e., the DMN and VAN), while a divergent FC-cognitive pattern was mainly observed between attention/executive networks and the language/emotion cognitive component, suggesting the co-existence of compensatory and detrimental mechanisms underlying these components." @default.
- W4313331687 created "2023-01-06" @default.
- W4313331687 creator A5030180072 @default.
- W4313331687 creator A5042555255 @default.
- W4313331687 creator A5044676036 @default.
- W4313331687 creator A5054413757 @default.
- W4313331687 creator A5057517865 @default.
- W4313331687 creator A5064888857 @default.
- W4313331687 creator A5071350557 @default.
- W4313331687 creator A5078873072 @default.
- W4313331687 creator A5082628560 @default.
- W4313331687 creator A5090183334 @default.
- W4313331687 date "2022-12-29" @default.
- W4313331687 modified "2023-10-17" @default.
- W4313331687 title "A low-dimensional cognitive-network space in Alzheimer’s disease and frontotemporal dementia" @default.
- W4313331687 cites W188949016 @default.
- W4313331687 cites W1969046241 @default.
- W4313331687 cites W1981994145 @default.
- W4313331687 cites W1998268694 @default.
- W4313331687 cites W2005933475 @default.
- W4313331687 cites W2019370496 @default.
- W4313331687 cites W2020044743 @default.
- W4313331687 cites W2035398019 @default.
- W4313331687 cites W2045307802 @default.
- W4313331687 cites W2051239559 @default.
- W4313331687 cites W2055186021 @default.
- W4313331687 cites W2058161128 @default.
- W4313331687 cites W2067456724 @default.
- W4313331687 cites W2068382934 @default.
- W4313331687 cites W2070003162 @default.
- W4313331687 cites W2076204392 @default.
- W4313331687 cites W2080732726 @default.
- W4313331687 cites W2083956595 @default.
- W4313331687 cites W2088351746 @default.
- W4313331687 cites W2100831964 @default.
- W4313331687 cites W2101334128 @default.
- W4313331687 cites W2107001888 @default.
- W4313331687 cites W2111963393 @default.
- W4313331687 cites W2115017507 @default.
- W4313331687 cites W2122609459 @default.
- W4313331687 cites W2127309075 @default.
- W4313331687 cites W2128030851 @default.
- W4313331687 cites W2128529067 @default.
- W4313331687 cites W2130897352 @default.
- W4313331687 cites W2136250824 @default.
- W4313331687 cites W2148080316 @default.
- W4313331687 cites W2156199025 @default.
- W4313331687 cites W2165159030 @default.
- W4313331687 cites W2166709585 @default.
- W4313331687 cites W2180397831 @default.
- W4313331687 cites W2218579689 @default.
- W4313331687 cites W2281205902 @default.
- W4313331687 cites W2510806376 @default.
- W4313331687 cites W2521206994 @default.
- W4313331687 cites W2605199200 @default.
- W4313331687 cites W2619097621 @default.
- W4313331687 cites W2754967293 @default.
- W4313331687 cites W2766936425 @default.
- W4313331687 cites W2782312356 @default.
- W4313331687 cites W2787997503 @default.
- W4313331687 cites W2790936874 @default.
- W4313331687 cites W2967269282 @default.
- W4313331687 cites W2985007864 @default.
- W4313331687 cites W2999672061 @default.
- W4313331687 cites W3037942253 @default.
- W4313331687 cites W3046954211 @default.
- W4313331687 cites W3089319669 @default.
- W4313331687 cites W3097527510 @default.
- W4313331687 cites W3118415694 @default.
- W4313331687 cites W3133834254 @default.
- W4313331687 cites W3162577196 @default.
- W4313331687 cites W3166130845 @default.
- W4313331687 cites W3179426622 @default.
- W4313331687 cites W3197935700 @default.
- W4313331687 cites W3203173985 @default.
- W4313331687 cites W3205923164 @default.
- W4313331687 cites W3216927798 @default.
- W4313331687 cites W4288035889 @default.
- W4313331687 cites W4295750005 @default.
- W4313331687 doi "https://doi.org/10.1186/s13195-022-01145-x" @default.
- W4313331687 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36581943" @default.
- W4313331687 hasPublicationYear "2022" @default.
- W4313331687 type Work @default.
- W4313331687 citedByCount "3" @default.
- W4313331687 countsByYear W43133316872023 @default.
- W4313331687 crossrefType "journal-article" @default.
- W4313331687 hasAuthorship W4313331687A5030180072 @default.
- W4313331687 hasAuthorship W4313331687A5042555255 @default.
- W4313331687 hasAuthorship W4313331687A5044676036 @default.
- W4313331687 hasAuthorship W4313331687A5054413757 @default.
- W4313331687 hasAuthorship W4313331687A5057517865 @default.
- W4313331687 hasAuthorship W4313331687A5064888857 @default.
- W4313331687 hasAuthorship W4313331687A5071350557 @default.
- W4313331687 hasAuthorship W4313331687A5078873072 @default.
- W4313331687 hasAuthorship W4313331687A5082628560 @default.
- W4313331687 hasAuthorship W4313331687A5090183334 @default.
- W4313331687 hasBestOaLocation W43133316871 @default.
- W4313331687 hasConcept C141516989 @default.
- W4313331687 hasConcept C14216870 @default.
- W4313331687 hasConcept C142724271 @default.