75 research outputs found

    Бвязи ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ срСднСмСсячных ОБО Π½Π°Π΄ Антарктикой ΠΈ ΠΏΠ»ΠΎΡ‰Π°Π΄ΠΈ Ρ‚Π΅ΠΏΠ»ΠΎΠ³ΠΎ тропичСского бассСйна Π’ΠΈΡ…ΠΎΠ³ΠΎ ΠΎΠΊΠ΅Π°Π½Π° ΠΏΡ€ΠΈ соврСмСнном ΠΏΠΎΡ‚Π΅ΠΏΠ»Π΅Π½ΠΈΠΈ ΠΊΠ»ΠΈΠΌΠ°Ρ‚Π°

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    ΠžΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠΌ Π΄Π°Π½Π½ΠΎΠ³ΠΎ исслСдования Π²Ρ‹Π±Ρ€Π°Π½Ρ‹ измСнСния распрСдСлСния срСднСмСсячных Π·Π½Π°Ρ‡Π΅Π½ΠΈΠΉ ОБО Π½Π°Π΄ Антарктикой, Π° Ρ‚Π°ΠΊΠΆΠ΅ ΠΏΠ»ΠΎΡ‰Π°Π΄ΠΈ Π’Π’Π‘ Π² Π·Π°ΠΏΠ°Π΄Π½ΠΎΠΌ ΠΏΠΎΠ»ΡƒΡˆΠ°Ρ€ΠΈΠΈ. ΠŸΡ€Π΅Π΄ΠΌΠ΅Ρ‚ΠΎΠΌ исслСдования Π΅ΡΡ‚ΡŒ измСнСния статистичСских связСй ΠΌΠ΅ΠΆΠ΄Ρƒ ΡƒΠΊΠ°Π·Π°Π½Π½Ρ‹ΠΌΠΈ процСссами, ΠΏΡ€ΠΎΠΈΡΡ…ΠΎΠ΄ΠΈΠ²ΡˆΠΈΠΌΠΈ Π·Π° ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ соврСмСнного потСплСния ΠΊΠ»ΠΈΠΌΠ°Ρ‚Π°. ЦСлью Ρ€Π°Π±ΠΎΡ‚Ρ‹ Π΅ΡΡ‚ΡŒ выявлСниС ΠΈΡ… связСй, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ Π½Π° протяТСнии ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π° соврСмСнного потСплСния ΠΊΠ»ΠΈΠΌΠ°Ρ‚Π° ΡƒΡΠΈΠ»ΠΈΠ²Π°Π»ΠΈΡΡŒ устойчиво ΠΈ Π½Ρ‹Π½Π΅ ΡΠ²Π»ΡΡŽΡ‚ΡΡ Π·Π½Π°Ρ‡ΠΈΠΌΡ‹ΠΌΠΈ

    Bridging brain and cognition: a multilayer network analysis of brain structural covariance and general intelligence in a developmental sample of struggling learners

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    Network analytic methods that are ubiquitous in other areas, such as systems neuroscience, have recently been used to test network theories in psychology, including intelligence research. The network or mutualism theory of intelligence proposes that the statistical associations among cognitive abilities (e.g., specific abilities such as vocabulary or memory) stem from causal relations among them throughout development. In this study, we used network models (specifically LASSO) of cognitive abilities and brain structural covariance (grey and white matter) to simultaneously model brain-behavior relationships essential for general intelligence in a large (behavioral, N = 805; cortical volume, N = 246; fractional anisotropy, N = 165) developmental (ages 5-18) cohort of struggling learners (CALM). We found that mostly positive, small partial correlations pervade our cognitive, neural, and multilayer networks. Moreover, using community detection (Walktrap algorithm) and calculating node centrality (absolute strength and bridge strength), we found convergent evidence that subsets of both cognitive and neural nodes play an intermediary role 'between' brain and behavior. We discuss implications and possible avenues for future studies.Stress and Psychopatholog

    Apathy in presymptomatic genetic frontotemporal dementia predicts cognitive decline and is driven by structural brain changes

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    Introduction: Apathy adversely affects prognosis and survival of patients with frontotemporal dementia (FTD). We test whether apathy develops in presymptomatic genetic FTD, and is associated with cognitive decline and brain atrophy. Methods: Presymptomatic carriers of MAPT, GRN or C9orf72 mutations (NΒ =Β 304), and relatives without mutations (NΒ =Β 296) underwent clinical assessments and MRI at baseline, and annually for 2 years. Longitudinal changes in apathy, cognition, gray matter volumes, and their relationships were analyzed with latent growth curve modeling. Results: Apathy severity increased over time in presymptomatic carriers, but not in non-carriers. In presymptomatic carriers, baseline apathy predicted cognitive decline over two years, but not vice versa. Apathy progression was associated with baseline low gray matter volume in frontal and cingulate regions. Discussion: Apathy is an early marker of FTD-related changes and predicts a subsequent subclinical deterioration of cognition before dementia onset. Apathy may be a modifiable factor in those at risk of FTD
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