psychology

Reimagining Psychotherapy: When Symptoms Are Attractors, Not Causes

What if the symptoms we try so hard to eliminate are not the problem, but the solution — at least from the perspective of the nervous system? This is one of the most provocative and generative questions animating current discussions in psychotherapy research, and it was at the heart of a structured discussion I recently participated in at the Society for Psychotherapy Research (SPR) Annual Conference in Osaka, 2026.

The Attractor Metaphor

In dynamical systems theory, an attractor is a state — or set of states — toward which a system tends to evolve over time, regardless of where it starts. Think of a ball rolling into a valley: no matter where you release it on the hillside, it will settle at the bottom. The valley is the attractor.

Now imagine that the valley is depression, or chronic anxiety, or a pattern of emotional dysregulation. The person keeps returning to this state — not because they want to, not because of moral weakness or poor coping — but because the system has organised itself around this pattern. It has become stable. It has become, in a very real sense, the path of least resistance.

This is what we mean when we say that symptoms can be attractors. They are not random misfirings or mere symptoms of some deeper hidden cause. They are organised states — self-reinforcing, coherent, and remarkably resistant to simple intervention.

Why This Reframing Matters

The conventional medical model treats symptoms as signs pointing to an underlying pathology. Remove the pathology, the symptoms disappear. This logic works well for many physical illnesses. But in mental health, it has consistently underdelivered. Decades of research into the causes of depression, anxiety, psychosis, and personality disorder have not translated into dramatically better outcomes. Symptom reduction rates remain stubbornly modest. Relapse is the norm, not the exception.

Part of the problem may be ontological: we have been looking for the wrong kind of thing. If a symptom is an attractor — a stable dynamic pattern — then eliminating it is not simply a matter of removing a cause. You cannot drain a valley by attacking the ball. You need to reshape the landscape.

This is a profound shift in therapeutic logic. Instead of asking “what is causing this symptom?”, we begin asking: “What conditions are maintaining this attractor? What would it take to destabilise it? And what new attractors — new stable patterns — could emerge in its place?”

Implications for Psychotherapy Practice

If symptoms are attractors, then psychotherapy is — in dynamic terms — a process of attractor landscape modification. The therapist and client together are not trying to eliminate a defect; they are working to shift the topology of the person’s psychological terrain.

Several implications follow from this:

Stability before change. Attractor states are, by definition, stable. Attempting to force change from outside — through behavioural prescriptions or cognitive challenges alone — often meets strong resistance, not because the person is unwilling, but because the system is organised to return to its stable state. Effective intervention may require first understanding the attractor before attempting to move it.

Phase transitions matter. In dynamical systems, change rarely happens gradually. Systems often remain in one attractor for long periods before shifting — sometimes rapidly — to another state. Therapy may work by creating the conditions for such transitions: increasing variability, building new repertoires, expanding the range of possible states before a new stable pattern emerges.

Small interventions, large effects — sometimes. Near a tipping point, even small perturbations can push a system into a new attractor basin. This may explain why certain therapeutic moments feel disproportionately impactful — they arrive at just the right point in the person’s dynamic landscape.

The therapeutic relationship as context. From this view, the therapeutic relationship is not merely a vehicle for technique delivery. It is part of the dynamic environment that shapes the attractor landscape. Safety, co-regulation, and relational repair may themselves contribute to destabilising pathological attractors and enabling new ones to form.

Osaka and the Broader Conversation

The SPR Osaka structured discussion was an opportunity to bring these ideas into dialogue with a broader community of psychotherapy researchers — clinicians, process researchers, outcome specialists, and theorists. The conversation was generative precisely because it was multidisciplinary: different framings of the same clinical realities, held in productive tension.

What emerged from these discussions was not a unified theory — that would be premature — but a shared sense that the field needs richer metaphors. The language of symptoms-as-pathology, of diagnosis-as-essence, of treatment-as-elimination, may have reached the limits of its usefulness. The language of dynamics, of patterns, of attractors and bifurcations, opens new conceptual territory.

This does not mean abandoning what we know. Evidence-based treatments remain our best tools. But it does mean holding them differently — as perturbations to a dynamic system, rather than corrections of a broken one.

Looking Forward

The reimagining of psychotherapy through the lens of complexity science is still in its early stages. There are enormous theoretical and empirical challenges ahead: How do we measure attractors clinically? How do we identify tipping points? How do we design interventions that work with dynamic landscapes rather than against them?

These are hard questions. But they are the right questions. And they are beginning to receive the serious scientific attention they deserve.

The conversation continues — in Osaka, and beyond.

At SPR Osaka 2026: Reimagining Psychotherapy Through Dynamical Systems

In June 2026, I had the privilege of presenting at the Society for Psychotherapy Research (SPR) Annual Conference in Osaka, Japan — one of the most stimulating gatherings in the field of psychotherapy research. This year’s conference brought together researchers, clinicians, and theorists from around the world to explore the frontiers of psychological treatment and its mechanisms of change.

I contributed two sessions, each approaching a shared question from different angles: What if the way we think about mental health and psychotherapy has been fundamentally incomplete — and what would change if we adopted a dynamical systems perspective?

Panel Presentation: Restoring Flexible Functional Synchrony

The first session was a panel presentation titled “Restoring Flexible Functional Synchrony: A Dynamical Systems Approach to Complex Emotional Needs.” The central argument: mental health conditions are not best understood as discrete symptom clusters, but as disorders of coordination flexibility — the capacity of the human system to synchronise, desynchronise, and transition between states in a context-appropriate way.

The focus was on Complex Emotional Needs (CEN) — a transdiagnostic presentation characterised by severe emotional dysregulation, unstable attachment, and interpersonal difficulties — as a compelling test case for this framework. These conditions show coordination dysregulation across multiple timescales: from autonomic nervous system rigidity at the millisecond scale, through affective instability across minutes, to interpersonal coordination failures across sessions and relationships.

We presented four dynamical phenotypes — distinct attractor landscape profiles that characterise different patterns of coordination failure in CEN:

  • Hypervigilant — rigid over-synchronisation, deep narrow attractor basin, constant threat-monitoring
  • Collapsed — reduced synchronisation, flat attractor landscape, affective numbing and withdrawal
  • Chaotic — unstable coordination, multiple fragmented attractors, rapid dysregulation with low recovery
  • Balanced — flexible synchrony, moderate-depth wide basin, context-sensitive regulation

These phenotypes correspond to measurable physiological signatures and guide matched clinical intervention through the IDEAS Programme (Interventive Dynamic Emotion Assessment and Skills): an 8-week, group-based intervention for young people aged 16–25 with Complex Emotional Needs. A pilot study of 48 participants showed large effect sizes across clinical outcomes, maintained at 3-month follow-up, with differential response trajectories by phenotype.

Structured Discussion: Reimagining Psychotherapy as Coordination Restoration

The second session was a structured discussion: “Reimagining Psychotherapy as a Dynamical Treatment of Synchronization and Coordination.” This broader conceptual exploration opened a conversation about what it would mean to fundamentally reconceptualise psychotherapy — not as a technique that reduces symptoms, but as a process that restores flexible functional synchronisation across neural, physiological, and interpersonal domains.

The discussion centred on three questions: What distinguishes functional from dysfunctional synchrony across clinical presentations? How can coordination dynamics be measured as mechanisms of therapeutic change? And what are the implications for training and treatment development when psychotherapy is understood as coordination restoration rather than symptom management?

A key theme was the reconceptualisation of rupture and repair in the therapeutic relationship — not merely as relational events, but as dynamical phase transitions with measurable physiological signatures. Successful repair does not simply restore the previous state, but expands the attractor landscape, building resilience and flexibility.

Looking Ahead

Both sessions generated rich discussion and a genuine sense that the field is ready for this shift. The convergence of complexity science, affective neuroscience, and psychotherapy research is opening new possibilities for how we understand, measure, and treat psychological distress. I look forward to continuing this work and to the collaborations that emerged from Osaka.

Why Mental Health Treatment Keeps Failing the Same People — and a New Framework That Could Change That

Despite decades of research and a growing toolkit of evidence-based therapies, mental health services face a stubborn paradox: between 40 and 60 per cent of people with complex emotional difficulties don’t get better under current treatment protocols. For those living with severe emotional dysregulation, relationship instability, identity struggles, and recurring self-harm — conditions often grouped under the term Complex Emotional Needs (CEN) — this is not an abstract statistic. It is the reality of revolving doors, service discharge without recovery, and the exhausting sense that nothing seems to fit.

A new perspective article submitted to Frontiers in Human Neuroscience argues that this therapeutic impasse is not primarily a failure of effort or skill — it is a failure of the underlying model. Categorical diagnosis, the dominant framework through which mental health problems are identified and treated, may simply be the wrong map for the territory it is trying to chart.

The Problem with Categories

Standard diagnostic systems classify mental health conditions as discrete named categories: borderline personality disorder, complex PTSD, emotionally unstable personality disorder, and so on. This approach has generated decades of treatment research, but rests on an assumption that is increasingly difficult to defend: that there are meaningful, stable boundaries between conditions, and that people within a given category are fundamentally similar to one another.

Research tells a different story. Diagnostic categories in mental health show substantial overlap, extensive within-category variation, and poor ability to predict treatment response. Two people with identical diagnoses can respond completely differently to the same therapy. Critics have long argued that current categories are, at best, administrative conveniences rather than windows into the nature of the problems they describe.

“Rather than understanding psychopathology as the presence of pathological elements requiring removal, we reframe mental health conditions as failures of flexible functional synchronisation across nested bio-psychosocial scales.”

A Different Way of Seeing: Synchronisation and Dynamics

The new framework starts from a different premise. Instead of asking “which diagnosis does this person have?”, it asks: “how is this person’s nervous system organising itself, and what kind of flexibility or rigidity does it show?”

The human nervous system — from brainstem circuits regulating basic threat responses, through autonomic networks governing heart rate and breathing, to cortical systems that make sense of experience and manage relationships — functions as an enormously complex network of coupled oscillators. The healthy state, known as metastability, sits between rigid lockstep synchronisation and complete independence. In Complex Emotional Needs, this balance breaks down.

The paper draws on three converging scientific traditions: affective neuroscience (particularly Jaak Panksepp’s work on evolutionarily conserved emotional circuits), predictive processing theory (Karl Friston’s framework in which the brain is a prediction machine calibrating its models against incoming signals), and complexity science (the mathematical study of how coupled dynamical systems self-organise). All three point toward the same insight: CEN presentations are nervous systems stuck in particular dynamic patterns — patterns that can be characterised, measured, and matched to appropriate interventions.

The Attractor Landscape: A New Vocabulary for Emotional Life

Central to the framework is the concept of an attractor landscape. Imagine the state of someone’s nervous system as a ball rolling across hilly terrain. Valleys represent stable states the system gravitates toward; hills and ridges represent the energy required to transition between states. The shape of this terrain — how steep the valleys are, how high the barriers between them, whether the landscape is stable or shifting — determines the person’s characteristic emotional and relational patterns.

Using mathematical equations from coordination dynamics and numerical simulation, the research team derived four distinct landscape topologies, each corresponding to a clinically recognisable pattern of emotional experience.

Phenotype 1 — Hypervigilant

Sharp, narrow valleys with low barriers between them. The system is tightly wound, prone to sudden catastrophic shifts. Characterised by hyperarousal, threat sensitivity, and intense emotional reactivity punctuated by crashes. Corresponds to anxious-preoccupied attachment.

Phenotype 2 — Collapsed

Flat, featureless terrain bounded by very high barriers. The system is stuck, requiring enormous energy for any movement. Characterised by emotional numbing, motivational paralysis, and disconnection from internal experience. Corresponds to dismissive-avoidant attachment.

Phenotype 3 — Disorganised

Unstable, shifting terrain with no reliable valleys. Characterised by fragmented, unpredictable emotional responses and profound relationship instability. Corresponds to disorganised attachment.

Phenotype 4 — Balanced

Multiple moderate valleys connected by traversable ridges — the optimal metastable landscape. The system can settle, shift flexibly, and return to stability. Corresponds to secure attachment and represents the therapeutic target for the other three phenotypes.

Grounded in Biology, Not Theory Alone

The paper demonstrates that the four phenotypes map onto converging evidence from multiple scientific disciplines simultaneously. At the brain circuit level, Panksepp’s research anchors the Hypervigilant phenotype in chronic upregulation of FEAR circuitry, and the Collapsed phenotype in the neurobiological sequelae of prolonged GRIEF/PANIC followed by learned suppression. At the developmental level, the phenotypes map directly onto attachment classifications independently identified through decades of child observation research.

Perhaps most striking is the epigenetic layer. Research by Michael Meaney and colleagues has shown that early caregiving quality literally programmes the stress response system through DNA methylation — chemical modifications stable across the lifespan but not permanently fixed. The framework uses this to explain both why CEN patterns are so persistent and why therapeutic change is genuinely possible: attractor landscapes are biologically encoded but remain responsive to sustained relational experience of sufficient quality and duration.

Clinical Evidence: The IDEAS Pilot Study

The framework was directly motivated by results from the IDEAS pilot study, an 8-week modular intervention delivered to young people aged 16–25 within youth mental health services (N=48). The study demonstrated large effect sizes for emotional dysregulation (Cohen’s d = 1.15), moderate-large effects for interpersonal functioning (d = 0.82), and a successful discharge rate of 68.7% — substantially exceeding the service’s baseline rate of approximately 42% for comparable presentations. Improvements were maintained at 3-month follow-up.

The IDEAS intervention did not apply a fixed protocol. Clinicians personalised which therapeutic modules each person received and in what sequence — effectively engaging in “inferential phenotyping.” This proved effective but depended on individual practitioner skill. The new theoretical framework is designed to formalise and scale precisely that clinical insight.

Matching Treatment to Landscape

One of the most practically significant implications is the framework’s account of why particular therapeutic ingredients work for particular presentations. For the Hypervigilant phenotype, the primary target is landscape flattening: mindfulness and distress tolerance skills work because they flatten rather than eliminate emotional responses. For the Collapsed phenotype, the barrier height is the problem — insight-oriented work tends to fail not because the person lacks capacity but because the mechanism of dysfunction lies upstream of thinking; behavioural activation works by supplying external energy to overcome the barriers. For the Disorganised phenotype, the priority is creating stable structure where none exists, building attractor basins before attempting flexibility work.

Measurement and the Road Ahead

The framework makes specific, falsifiable predictions testable in future research. Heart rate variability analysed using nonlinear methods should produce characteristic signatures for each phenotype. Physiological synchrony between patient and therapist, measured using surrogate statistical methods that distinguish genuine coupling from coincidence, should track with therapeutic progress.

The paper proposes a three-phase validation programme: establishing phenotype reliability and predictive validity; conducting randomised trials comparing phenotype-matched versus standard treatment (primary hypothesis: effect size advantage d = 0.3–0.5); and examining implementation at scale with attention to health equity.

“The challenge and opportunity before the field is to embrace complexity without abandoning rigour, to pursue precision without losing humanity, and to advance scientific understanding while remaining grounded in the lived experience of those seeking help.”

The paper is currently under preparation for submission to Frontiers in Human Neuroscience as a Perspective Article. Further updates, including trial registration and data repository details, will be posted here as they become available.