We compared two attentional executive processes: updating, which involved attending to a perceptually present stimulus, and refreshing, which involved attending to a mentally active representation of a stimulus no longer perceptually present. In separate blocks, participants either replaced a word being held in working memory with a different word (update), or they thought back to a just previously seen word that was no longer perceptually present (refresh). Bilateral areas of frontal cortex, supplementary motor area, and parietal cortex were similarly active for both updating and refreshing, suggesting that a common network of areas is recruited to bring information to the current focus of attention. In a direct comparison of update and refresh, regions more active for update than refresh included regions primarily in right frontal cortex, as well as bilateral posterior visual processing regions. Regions more active for refresh than update included regions primarily in left dorsolateral frontal and left temporal cortex and bilateral inferior frontal cortex. These findings help account for the similarity in areas activated across different cognitive tasks and may help specify the particular executive processes engaged in more complex tasks.
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http://dx.doi.org/10.1016/j.neuroimage.2009.07.002 | DOI Listing |
JAMA Netw Open
December 2024
Department of Psychological and Brain Sciences, Washington University in St Louis, Missouri.
Importance: The extent to which neuroanatomical variability associated with early substance involvement, which is associated with subsequent risk for substance use disorder development, reflects preexisting risk and/or consequences of substance exposure remains poorly understood.
Objective: To examine neuroanatomical features associated with early substance use initiation and to what extent associations may reflect preexisting vulnerability.
Design, Setting, And Participants: Cohort study using data from baseline through 3-year follow-up assessments of the ongoing longitudinal Adolescent Brain Cognitive Development Study.
Background: Reactive astrogliosis refers to functional and morphological changes in astrocytes that occur with neuronal damage in numerous neurological conditions. PET tracers targeting monoamine oxidase B (MAO-B) are used to visualize reactive astrogliosis in the living brain. [F]SMBT-1, a MAO-B selective PET tracer, was developed by modifying the chemical structure of [F]THK5351.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Neurology, Mayo Clinic, Rochester, MN, USA.
Background: Many proposed clinical decision support systems (CDSS) require multiple disparate data elements as input, which makes implementation difficult, and furthermore have a black-box nature leading to low interpretability. Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) is an established modality for the diagnosis of dementia, and a CDSS that uses only an FDG-PET image to produce a reliable and understandable result would ease both of these challenges to clinical application.
Method: A deep variational autoencoder (VAE) was used to extract a latent representation of each image through prior training from FDG-PET brain images (n=2000).
Background: Apolipoprotein ε4 allele (APOE4) is the strongest genetic risk factor for late-onset Alzheimer's disease (AD) with females having higher risk than males. Compared with non-carriers, cognitively normal, middle-aged APOE4 carriers have lower cerebral blood flow (CBF) decades before clinical symptoms appear. Early intervention to protect CBF would be critical for APOE4 carriers to mitigate AD progression.
View Article and Find Full Text PDFBackground: Clinical diagnosis of frontotemporal dementia (FTD) can be challenging, requiring an accurate tool dedicated to this diagnostic hurdle. Since FTD exhibits distinct regional atrophy patterns on magnetic resonance imaging (MRI), AI-aided automated brain volume analysis could enhance the clinical diagnostic assessment of FTD, including the detection of the disease and the classification of subtypes, which encompass behavioral variant (BV), semantic variant (SV), and progressive non-fluent aphasia (PNFA). In this study, we leverage automated brain volumetry software to approach both FTD detection and the differential diagnosis among its subtypes.
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