Cardiac autonomic state and neural manifold geometry co-vary non-monotonically across working-memory task phases

Using multimodal EEG–ECG–PPG–pupillometry recordings from 62–65 healthy adults during a digit-span working-memory task, we show that cardiac autonomic state and neural manifold geometry are both systematically task-modulated, with a non-monotone, stage-shifted profile: the RMSSD-driven vagal proxy peaks during passive listening while neural trajectory efficiency peaks at the easiest active memory condition — a 24-fold rest-to-task difference. Direct autonomic–manifold coupling is modest and between-subject correlations are null, indicating co-modulation by task phase rather than causal autonomic gating.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-28
DOI
https://doi.org/10.5281/zenodo.21006812
Primary Topic
Heart Rate Variability and Autonomic Control
Type
preprint
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preprint

Cardiac autonomic state and neural manifold geometry co-vary non-monotonically across working-memory task phases

Robin Langell
Zenodo (CERN European Organization for Nuclear Research)
Heart Rate Variability and Autonomic Control
preprint

Cardiac autonomic state and neural manifold geometry co-vary non-monotonically across working-memory task phases

Robin Langell
preprint en

Abstract

Using multimodal EEG–ECG–PPG–pupillometry recordings from 62–65 healthy adults during a digit-span working-memory task, we show that cardiac autonomic state and neural manifold geometry are both systematically task-modulated, with a non-monotone, stage-shifted profile: the RMSSD-driven vagal proxy peaks during passive listening while neural trajectory efficiency peaks at the easiest active memory condition — a 24-fold rest-to-task difference. Direct autonomic–manifold coupling is modest and between-subject correlations are null, indicating co-modulation by task phase rather than causal autonomic gating.

Zenodo (CERN European Organization for Nuclear Research)
Kemakta Konsult (SE)
Heart Rate Variability and Autonomic Control
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