Preprint / Version 1

Individualized Sigma-Frequency Targeting Improves Closed-Loop Auditory Enhancement of Sleep Spindles and Overnight Learning

Authors

DOI:

https://doi.org/10.64748/y0sstc90

Keywords:

sleep spindles, sigma frequency, closed-loop stimulation, memory consolidation, personalization, polysomnography, serial reaction time

Abstract

Sleep spindles (11–16 Hz) are markers of thalamocortical plasticity and predictors of memory consolidation, yet closed-loop auditory stimulation protocols often ignore inter-individual variability in spindle frequency. I tested whether tailoring stimulation to each person's sigma peak frequency improves physiological and behavioral outcomes relative to a conventional, fixed-band approach. In a preregistered, double-blind, counterbalanced crossover study (N=44; 18–32 y), participants completed two overnight sessions: (i) Personalized stimulation (bandpass and phase tracking centered on the individual sigma peak) and (ii) Fixed-band stimulation (canonical 12–15 Hz). Brief 50 ms pink-noise bursts (45 dB SPL) were delivered phase-locked to the late up-state of detected spindles during N2. Personalized targeting increased fast-spindle density at Cz by 13.8% versus Fixed-band and improved morning gains on a probabilistic sequence task by 9.6 ms (SE 3.5; p=.007) without altering sleep macro-architecture. Across nights, stimulation-induced changes in fast-spindle density predicted overnight improvement (β=0.27, p=.008) after controlling for baseline performance and total sleep time. Results indicate that respecting individual sigma dynamics enhances closed-loop efficacy and strengthens brain–behavior links central to consolidation.

Author Biography

  • Sofia Almeida, Radboud University Nijmegen

    Sofia Almeida is a cognitive neuroscientist specializing in sleep neurophysiology and memory. Her research focuses on the causal role of NREM oscillations—especially sleep spindles—in human learning, using closed-loop stimulation, EEG/PSG, and computational signal processing. She develops real-time detection algorithms for phase-locked stimulation and studies how bilingual experience modulates sleep-dependent consolidation. Almeida leads multi-site collaborations on noninvasive brain stimulation for education and rehabilitation and advocates open, reproducible neurophysiology through shared code and pre-registered analyses.

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Posted

2025-09-03

How to Cite

Individualized Sigma-Frequency Targeting Improves Closed-Loop Auditory Enhancement of Sleep Spindles and Overnight Learning. (2025). In Substack Scholarly Posts. https://doi.org/10.64748/y0sstc90