Root Frequency Theory

Contemporary neuroscience has mapped the architecture of the brain in considerable detail, yet a central question remains open: how is a coherent sense of self maintained across time, and under what conditions does it become vulnerable to disruption? Root Frequency Theory (RFT) proposes that experiential continuity may be better understood as an emergent property of cross-scale coordination across five nested layers (C0–C4). Within this view, systemic noise and sustained regulatory load may progressively weaken cross-layer alignment, increasing the risk of fragmentation in self-experience. The M-RFT coherence metric is introduced as a preliminary heuristic tool intended to render these multiscale dynamics empirically investigable.

The Triple Network Model (Menon, 2011), the free-energy principle (Friston, 2010), and work on self-related processing (Northoff, 2014, 2016) have each advanced our understanding of how the brain supports cognition and self-experience. However, these frameworks are often used separately, leaving only partially specified how processes of physiological regulation, large-scale network coordination, and self-related dynamics jointly contribute to the longitudinal continuity of the self over time.

RFT suggests that part of this difficulty may reflect the tendency to examine neural components in relative isolation, highlighting the importance of a more integrative analytic perspective.

From this standpoint, the present framework begins not with the brain alone but with a nested hierarchy of constraints — physical (C0), biological (C1), neural (C2), and symbolic (C3) — within which both the brain and self emerge. Each layer in this C0–C4 architecture is a distinct organizational level that both influences and is influenced by the others. The dynamic interplay between these layers is explored in the following expandable cards.

Within this nested architecture, chronic stress, environmental volatility, and informational overload may function not only as psychological burdens but also as potential sources of systemic noise that increase regulatory load across multiple levels of the hierarchy. Sustained stress exposure has been associated with alterations in hormonal and epigenetic regulation, with downstream effects on large-scale network dynamics (Sapolsky, 2004; Yehuda et al., 2015).

As regulatory demands accumulate, the mechanisms responsible for distinguishing relevant signals from background fluctuation may become increasingly strained. Within predictive processing accounts, this condition can be described as an increase in variational free energy (Friston, 2010), potentially accompanied by reduced capacity to sustain unified informational structures over time (Tononi, 2004; Tononi et al., 2016).

Under such conditions, large-scale network coordination — including the salience network and default mode network — may become less stable, while symbolic processes may lose some of their capacity to anchor coherent self-narrative.

RFT refers to this proposed cascade as fragmentation: a self-reinforcing dynamic in which cross-scale misalignment at the symbolic level (C3) may propagate across neural (C2) and biological (C1) regulation, ultimately manifesting as experiential discontinuity at the phenomenological level (C4). Converging neuroimaging findings across multiple psychiatric conditions — where alterations tend to appear distributed rather than focal — are broadly consistent with system-level models of dysregulation (Menon, 2011).

To clarify how these multiscale pressures may interact over time, the following figure presents a conceptual model of the proposed cycle of integrative instability.

If fragmentation reflects a disruption of cross-scale coherence, restoration may, in principle, be initiated from within the system itself. This possibility is supported by three converging lines of evidence suggesting that meaning-related processing may influence physiological regulation:

1. Self-related information preferentially engages intrinsic DMN dynamics (Northoff, 2014, 2016).
2. The interpretation of a stressor, not only its intensity, can shape its physiological impact (Sapolsky, 2004).
3. Conscious awareness has been proposed to function as a representational resource through which the brain models and helps regulate its own states (Cleeremans, 2011).

Taken together, these findings suggest a potential pathway through which structured knowledge may contribute to system-level regulation.

RFT formalizes this proposal as Epistemic Synchrony (Kₑ): defined as the degree to which structured self-knowledge at the symbolic layer (C3) provides stable reference points for the system's predictive processes. As Kₑ increases, reflecting greater coherence and explanatory adequacy at the symbolic level, variational free energy at C2 may decrease (Friston, 2010). In turn, regulatory load at C1 may stabilize, and experiential continuity at C4 may be more stably maintained. This proposed top-down regulatory dynamic is schematically illustrated in the following figure.

RFT does not claim to resolve the hard problem of consciousness. Instead, it proposes a structural reframing: that the stability of the lived self may be better understood as a systemic property rather than a localized one, and that its disruption may follow partially predictable patterns of cross-scale misalignment.

Within this view, the C0–C4 architecture provides the conceptual scaffold. The fragmentation loop outlines a potential mechanism of breakdown. Epistemic Synchrony points toward a possible pathway of restoration.

What remains is measurement. The M-RFT coherence metric, introduced in the next section, represents an initial attempt to operationalize these dynamics and to examine whether variations in cross-scale alignment covary with patterns of experiential disruption across both clinical and everyday contexts.