75 research outputs found
Π‘Π²ΡΠ·ΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΡΡΠ΅Π΄Π½Π΅ΠΌΠ΅ΡΡΡΠ½ΡΡ ΠΠ‘Π Π½Π°Π΄ ΠΠ½ΡΠ°ΡΠΊΡΠΈΠΊΠΎΠΉ ΠΈ ΠΏΠ»ΠΎΡΠ°Π΄ΠΈ ΡΠ΅ΠΏΠ»ΠΎΠ³ΠΎ ΡΡΠΎΠΏΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π±Π°ΡΡΠ΅ΠΉΠ½Π° Π’ΠΈΡ ΠΎΠ³ΠΎ ΠΎΠΊΠ΅Π°Π½Π° ΠΏΡΠΈ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΌ ΠΏΠΎΡΠ΅ΠΏΠ»Π΅Π½ΠΈΠΈ ΠΊΠ»ΠΈΠΌΠ°ΡΠ°
ΠΠ±ΡΠ΅ΠΊΡΠΎΠΌ Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π²ΡΠ±ΡΠ°Π½Ρ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ
ΡΡΠ΅Π΄Π½Π΅ΠΌΠ΅ΡΡΡΠ½ΡΡ
Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ ΠΠ‘Π Π½Π°Π΄ ΠΠ½ΡΠ°ΡΠΊΡΠΈΠΊΠΎΠΉ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΏΠ»ΠΎΡΠ°Π΄ΠΈ Π’Π’Π Π² Π·Π°ΠΏΠ°Π΄Π½ΠΎΠΌ ΠΏΠΎΠ»ΡΡΠ°ΡΠΈΠΈ. ΠΡΠ΅Π΄ΠΌΠ΅ΡΠΎΠΌ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π΅ΡΡΡ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ²ΡΠ·Π΅ΠΉ ΠΌΠ΅ΠΆΠ΄Ρ ΡΠΊΠ°Π·Π°Π½Π½ΡΠΌΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠ°ΠΌΠΈ, ΠΏΡΠΎΠΈΡΡ
ΠΎΠ΄ΠΈΠ²ΡΠΈΠΌΠΈ
Π·Π° ΠΏΠ΅ΡΠΈΠΎΠ΄ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎΡΠ΅ΠΏΠ»Π΅Π½ΠΈΡ ΠΊΠ»ΠΈΠΌΠ°ΡΠ°. Π¦Π΅Π»ΡΡ ΡΠ°Π±ΠΎΡΡ Π΅ΡΡΡ Π²ΡΡΠ²Π»Π΅Π½ΠΈΠ΅ ΠΈΡ
ΡΠ²ΡΠ·Π΅ΠΉ, ΠΊΠΎΡΠΎΡΡΠ΅ Π½Π°
ΠΏΡΠΎΡΡΠΆΠ΅Π½ΠΈΠΈ ΠΏΠ΅ΡΠΈΠΎΠ΄Π° ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎΡΠ΅ΠΏΠ»Π΅Π½ΠΈΡ ΠΊΠ»ΠΈΠΌΠ°ΡΠ° ΡΡΠΈΠ»ΠΈΠ²Π°Π»ΠΈΡΡ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎ ΠΈ Π½ΡΠ½Π΅ ΡΠ²Π»ΡΡΡΡΡ
Π·Π½Π°ΡΠΈΠΌΡΠΌΠΈ
Bridging brain and cognition: a multilayer network analysis of brain structural covariance and general intelligence in a developmental sample of struggling learners
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
Gray and white matter changes in presymptomatic genetic frontotemporal dementia: a longitudinal MRI study
In genetic frontotemporal dementia, cross-sectional studies have identified profiles of presymptomatic
neuroanatomical loss for C9orf72 repeat expansion, MAPT, and GRN mutations. In th
Apathy in presymptomatic genetic frontotemporal dementia predicts cognitive decline and is driven by structural brain changes
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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