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Open access Aug 2026

Transdiagnostic Domain-specific Cognitive Impairment in Inter-episode Mood Disorders and its Relationship with Rest-Activity Phenotypes

Introduction: Cognitive impairment and disturbed rest-activity patterns often persist between episodes of major depressive disorder (MDD) and bipolar disorder (BD). Whether these deficits are disorder-specific or transdiagnostic remains unclear, as does the existence of a link between rest-activity phenotypes and cognitive performance. Methods: Using the All of Us Research Program, we derived normative deviation scores across four cognitive domains (sustained attention, inhibitory control, reward-based impulsivity, social cognition) from non-clinical controls (NCC), then compared deviations in MDD and BD. MDD was adequately powered to regress deviation scores on four 90-day Fitbit-derived phenotypes (step count, sleep duration, wakefulness after sleep onset, sleep timing variability); the same analysis was run on NCC as a sensitivity check. Results: Samples were substantially larger than prior works (MDD 5,087-6,536; BD 545-739; NCC 40,589-51,491). Relative to NCC, MDD and BD exhibited worse sustained attention (Delta Glass = -0.081 vs. -0.187) and higher impulsivity (Delta Glass = 0.092 vs. 0.240), with deficits more pronounced in BD. No wearable phenotype was significantly associated with cognitive performance in MDD (R2< 0.01); NCC associations, though significant, were of negligible magnitude (R2 <= 1.2%). Discussion: Inter-episode cognitive impairment was domain-selective rather than global, with a gradient BD > MDD. Despite adequate power, wearable rest-activity phenotypes were not associated with cognition in MDD. Whether this extends to BD, where deficits were largest, could not be tested due to limited power. Community-dwelling samples likely underestimate impairment relative to clinical cohorts.

F. Corponi, M. Kalfas, M. Reami et al. · 0 citations
Open access Aug 2026

Preoperative Neuropsychology Subtypes Predict Neuropsychological Change after Temporal Lobe resection

Cognitive outcomes following temporal lobe epilepsy surgery are highly heterogeneous and remain difficult to predict using traditional threshold-based neuropsychological classifications. Here, we implemented Subtype and Stage Inference (SuStaIn) on preoperative neuropsychology to model cognitive function as a continuous network-level process reflecting both pathological burden and compensatory reserve. We identified three distinct latent trajectories: Verbal, Naming, and Visual. The Verbal subtype reflected classic mesial temporal pathology, where postoperative decline aligned with functional adequacy of residual hippocampal tissue. Conversely, the Naming subtype represented a neocortical-predominant 'Temporal Plus' phenotype; despite lower rates of hippocampal sclerosis, these individuals showed severe postoperative verbal memory vulnerability due to un-reorganized frontotemporal language networks. The Visual trajectory demonstrated progressive visuospatial decline with distinct sex-specific reserve profiles and poorer visual recall outcomes. Crucially, these progression-based trajectories outperformed conventional static classifications in predicting 12-month postoperative outcomes on unseen test data. Operating directly on routine preoperative evaluations without requiring additional testing, this computational framework disentangles pathological burden from network reserve, providing scalable, biologically interpretable biomarkers to guide personalized risk counselling and network-informed surgical planning.

L. Binding, S. Liu, A. Ansara et al. · 0 citations