11:00 - 12:30
Parallel sessions 5
11:00 - 12:30
Room: C-Building - N14
Chair/s:
Kathrin Finke, Ingrid Scharlau, Jan Tünnermann
Part II of the symposium on the Theory of Visual Attention (TVA) extends Part I, moving to research that highlights TVA’s potential for measuring  attentional changes in diverse populations, relating them to underlying neural changes, perceptual and awareness phenomena. Simon Schrenk opens with a machine-learning study linking resting-state functional connectivity to TVA parameters—visual processing speed (C), short-term visual memory capacity (K), and top-down control (α)—in healthy older adults. This work identifies distinct neural network signatures for each attentional component, providing a framework for connecting TVA-based measures with intrinsic brain organization in aging. Hannah Klink et al. follow by demonstrating that alterations within frontoparietal networks are associated with reduced top-down control in patients with mild cognitive impairment, situating TVA within altered brain-network dynamics. Thomas Sørensen presents findings on expectancy modulations interacting with the κ parameter, offering new perspectives on attentional weighting within the TVA framework. 
Solveig Menrad’s talk relates attentional parameters in patients with ADHD to subjective and objective polysomnographic measures of sleep quality in patients with ADHD. Finally, Kathrin Finke, Jan Tünnermann and Ingrid Scharlau will discuss the development and challenges of TVA. Together, these contributions aim to chart the clinical frontiers of TVA—linking theory, neural markers, and potential translational uses in diverse populations. 
Submission 365
Frontoparietal Functional Connectivity Underlies Top-down Control Impairments in Patients with Mild Cognitive Impairment
SymposiumTalk-02
Presented by: Hannah Klink
Hannah KlinkKathrin FinkeFabian KattlunSimon SchrenkStefan BrodoehlAdriana L. Ruiz-Rizzo
Department of Neurology, Jena University Hospital, Germany
Patients with mild cognitive impairment (MCI) show reduced top-down control, the ability to ignore task-irrelevant information. It is unclear whether this reduction corresponds with decreased brain connectivity. We aimed to determine whether and how differences in functional connectivity, or the correlated activity between brain areas, explain differences in top-down control in MCI. Twenty-six patients with MCI (mean age: 71.2 ± 8.9 years; 10 females) and 29 age-matched healthy older adults (mean age: 68.2 ± 4.6 years; 9 females) underwent neuropsychological assessment to confirm diagnosis and cognitive status. We used resting-state functional magnetic resonance imaging at 3T to analyze functional connectivity. Top-down control was estimated with a theory of visual attention (TVA)-based verbal partial-report task (parameter α; higher α indicates poorer control). We identified visual and attention-relevant functional brain networks and tested for differences between patients and controls while controlling for age and sex. Patients with MCI showed lower functional connectivity in the left frontoparietal (FPN) and visual network (VN). Patients also had worse top-down control than healthy controls (p = 0.031). The FPN, but not the VN, significantly correlated with top-down control across participants (r = -0.39, p = 0.003) and in the patient group (ρ = -0.48, p = 0.014). Moreover, FPN connectivity mediated the relationship between MCI and top-down control. These results indicate that lower FPN connectivity explains worse attentional control in MCI. Top-down control might explain memory decline in patients with MCI; longitudinal data are needed to establish prognostic value.