Evidence map›Paper›PMID 41812658›Full record

ReviewNeuron2026

The emergence of neuropsychiatric symptoms in preclinical Alzheimer's disease: An emotion regulation perspective.

Adam Turnbull, James J Gross, Feng Vankee-Lin

Abstract readReview
In one paragraph

Review in Neuron, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Adam TurnbullDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA. Electronic address: aturnbu2@stanford.edu.
James J GrossDepartment of Psychology, Stanford University, Stanford, CA, USA.
Feng Vankee-LinDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.

Funding

U24 NEW Brain Aging Diversity SupplementU24AG072701 · NIA · UNIVERSITY OF ROCHESTER · PI CONWELL, YEATES, LIN, FENG VANKEE · 2021 to 2024
$2.6M
Characterizing biopsychological mismatch during cognitive training in mild cognitive impairment as a means of improving transferK01AG086665 · NIA · STANFORD UNIVERSITY · PI Adam Turnbull · 2024 to 2026
$378k
NIA NIH HHS K01 AG086665NIA NIH HHS U24 AG072701
6 · The paper itself

Abstract

Preclinical Alzheimer's disease (AD) is associated with distressing neuropsychiatric symptoms (NPSs) that may accelerate progression toward dementia. Existing approaches probe the symptom-level domain-general or domain-specific neural correlates of NPSs. However, the field lacks process-oriented models of symptom emergence for targeted treatment. We propose one pathway for symptom emergence involving the disruption of emotion regulation (ER) systems by early AD pathology. AD pathology in the ventral anterior cingulate cortex-ventromedial prefrontal cortex disrupts model-free ER that modulates negative valuations using experience-dependent reinforcement learning (e.g., fear extinction), leading to increased negative valuations and negative affect. We further propose that model-based ER competes for overtaxed executive resources and is less successful in preclinical AD, particularly in demanding real-world contexts. These changes lead to a shift toward negative affect, leading to divergent trajectories of NPSs depending on critical moderators. We discuss implications for intervention to improve NPSs and potentially slow dementia progression.

Indexed as

Alzheimer DiseaseEmotional RegulationAnimalsDisease ProgressionHumansAlzheimer’s diseaseemotion regulationneuropsychiatric symptoms

Identifiers

PMID41812658
PMCPMC13007717

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.