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Angiotensin receptor blockade modulates resting state functional connectivity in the memory network rather than fear network – implications for posttraumatic stress disorder

2025· article· en· W4408749901 on OpenAlexaff
Lorika Shkreli, Caroline Nettekoven, Sirius Boessenkool, Marieke Martens, Nicola Filippini, Liliana Capitão, Philip J. Cowen, Andrea Reinecke

Bibliographic record

VenuePsychiatry Research · 2025
Typearticle
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsWestern University
FundersMedical Research FoundationClarendon FundFoundation for Science and TechnologyFundação para a Ciência e a TecnologiaNational Institute for Health and Care ResearchMQ: Transforming Mental Health
KeywordsPosttraumatic stressBlockadeNeuroscienceFunctional connectivityResting state fMRIPsychologyReceptorMedicineInternal medicineClinical psychology

Abstract

fetched live from OpenAlex

• Angiotensin-II receptor blockers (ARBs) are linked to reduced PTSD symptoms in population studies. • PTSD is marked by altered brain connectivity in networks for fear processing and memory formation. • The ARB losartan altered functional connectivity in the memory network, but not the fear network. • Losartan decreased functional connectivity between the hippocampus and the inferior frontal gyrus, and between the parahippocampal gyrus and the dorsolateral prefrontal cortex. Population-based studies have shown that the intake of Angiotensin-II receptor blockers (ARBs), commonly used to treat high blood pressure, is associated with reduced post-traumatic stress disorder (PTSD) symptoms. However, the underlying neural mechanisms remain unclear. While PTSD development is characterized by maladaptive processing within brain networks associated with fear processing and memory formation during trauma exposure, there is increasing evidence that such aberrations manifest in altered resting state functional connectivity (rsFC) of brain regions in these networks. In this double-blind placebo-controlled study in 45 healthy volunteers with high trait-anxiety, we investigated whether the ARB losartan would affect rsFC in prominent seeds of the fear and memory network, counteracting effects seen in PTSD. Seed selection was informed by established rsFC aberrations seen in PTSD and consisted of the hippocampus and the parahippocampal gyrus (memory network), as well the amygdala and insula (fear network). Our results showed that a single dose of the ARB losartan decreased rsFC in the memory network from modulatory structures in the frontal cortex: losartan decreased rsFC (i) between the hippocampus and the inferior frontal gyrus involved in threat processing and memory intrusion development, and (ii) between the parahippocampal gyrus and the dorsolateral prefrontal cortex involved in top-down control. There were no drug effects on the fear network seeds. These findings may imply that ARB preserves adaptive memory function during trauma.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.082
GPT teacher head0.369
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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