Root Extension — N=1 Longitudinal Study

The research began as observation of the self

In December 2024, before there was a framework or a metric or an app, there was a practice: longitudinal self-tracking, journaling, and sustained inner work grounded in neurophenomenological method. The process involved mapping symptoms, tracking patterns across time, and re-contextualizing early developmental experiences through contemporary knowledge of brain development and nervous system regulation.

This was neurophenomenology applied not in a controlled laboratory, but in the conditions of everyday life. The systematic observation of one's own experiential field — across states of fragmentation and integration, across days of acute clarity and acute dysregulation — produced the first dataset from which Root Frequency Theory was constructed.

What emerged from months of this work was a direction: the more coherent the symbolic layer became — the more the self-narrative aligned with what the body was actually signaling — the more accurate the perception of internal and external states. Coherence was measurably present before formal tracking began. The inner work preceded the instrument. The instrument followed the observed pattern.

By February 2026, those observations had crystallized into two formal outputs: the RFT framework and the M-RFT metric. Root Extension became the means by which an informal practice was formalized into a replicable measurement instrument — computing coherence in real time, under ecological conditions, session by session.

What gets measured and how

Each session captures three components of the M-RFT metric simultaneously. Φ is derived from Apple Watch HRV — SDNN indexed against a 30-day rolling baseline, reflecting autonomic flexibility as a proxy for large-scale network coordination. Kₑ combines interoceptive accuracy from a randomized heartbeat detection task with narrative coherence scored across semantic, temporal, and causal dimensions via natural language processing. F is computed from HRV drop below baseline, indexing regulatory burden.

Sessions were initiated at ecologically naturalistic moments rather than at fixed times, in order to capture coherence variation as it actually occurs: prior to high-stakes professional encounters, during spontaneous insight states, during acute fragmentation, and following deliberate grounding practices. This is not a controlled intervention study. It is a longitudinal ecological protocol designed to generate the kind of within-person, real-world data that laboratory designs cannot produce at this resolution.

From observation to instrument

Coherence as a measurable, trackable property of lived experience

This is not a clinical trial. There is no control condition, no blinding, no randomized intervention. What it is: a preliminary ecological record of coherence variation in one participant, across real-world conditions, using a novel multimodal instrument. The researcher is the subject. The app is simultaneously the intervention and the measurement instrument.

The N=1 longitudinal format is appropriate for this stage of investigation. It permits the detection of within-person patterns — fragmentation cascades, recovery trajectories, the temporal lag between physiological disruption and narrative reintegration — that between-person designs cannot resolve at this level of granularity. It generates the preliminary data structure required to design a formal N=20–40 validation trial.

The central empirical question: does M score, computed from HRV, interoceptive accuracy, and narrative coherence, covary with subjective reports of experiential integration? The preliminary data suggests the metric is tracking something real. The low M-score/subjective coherence correlation (r = .186) is not a failure — it is a finding, consistent with theoretical predictions about interoceptive misalignment in highly sensitive nervous systems. The next step is formal validation.