2289 Dynamic network impairments underlie cognitive fluctuations in Lewy body dementia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<h3>Objective</h3> Cognitive fluctuations are a core clinical feature of Dementia with Lewy bodies (DLB), and although common and disabling, their pathophysiology is poorly understood. This work aimed to identify novel functional network signatures of cognitive fluctuations and investigate their underlying neurobiology by relating them to neuromodulatory systems. <h3>Methods</h3> Patients with DLB and age-matched controls were assessed on both subjective and objective measures of fluctuations and attention. Resting state dynamic functional magnetic resonance imaging was used to identify the temporal and topological signatures of cognitive fluctuations. Abnormal patterns of activation were mapped onto established gene expression atlases to determine associations with specific neuromodulators. <h3>Results</h3> DLB patients displayed more stationary brain-state configurations relative controls. This signature of reduced temporal variability correlated significantly with fluctuation-related measures using a sustained attention task (response time variability and drift rate). Topologically, patients with DLB demonstrated a less integrated (more segregated) functional network architecture compared to the control group. Regions of reduced integration were observed across dorsal and ventral attention, sensorimotor, visual, cingulo-opercular and cingulo-parietal networks. Relatively segregated networks correlated positively with subjective and objective measures of fluctuations. Regions of reduced integration and unstable regional assignments were significantly related to the pattern of expression of specific classes of noradrenergic and cholinergic receptors across the cerebral cortex. <h3>Conclusions</h3> Cognitive fluctuations in DLB are related to specific dynamic functional network impairments that are linked to the noradrenergic and cholinergic systems. Such systems may be viable targets of future therapies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it