Functional neurological disorder involves alterations in how the brain allocates and filters attention, especially toward bodily sensations and movement. Rather than a structural lesion, the problem lies in the dynamic processes that select what information is most salient and how it is interpreted. Neuroimaging studies consistently point to abnormal communication between networks responsible for salience detection, self-referential processing, and voluntary motor control. In particular, regions such as the anterior insula, anterior cingulate cortex, supplementary motor area, and dorsolateral prefrontal cortex show atypical patterns of activation and connectivity, suggesting that signals about the body’s state are being tagged as more important, more threatening, or more self-relevant than they actually are.
One key mechanism is the way top-down attention biases processing in sensory and motor systems. When a person repeatedly directs heightened, anxious attention to a limb, gait, or sensation, cortical representations for that body part may become excessively monitored and less automatically regulated. This over-monitoring can disrupt smooth motor execution, leading to symptoms like tremor, weakness, or gait disturbance that feel involuntary, even though they are generated within the person’s own motor system. Functional imaging often shows that voluntary-appearing movements in functional neurological disorder are accompanied by reduced activation in primary motor regions and increased activation in higher-order control areas, reflecting a shift from automatic motor programs to consciously supervised, inefficient control.
At the same time, bottom-up bodily signals that would normally be filtered out may become amplified within the salience network. The insula, which integrates interoceptive input from the body with emotional and contextual information, appears to play a central role. Hyperactivation of the insula and anterior cingulate cortex can increase the perceived importance of minor or ambiguous sensations, pulling attention toward them and away from external tasks. This can create a feedback loop in which subtle changes in muscle tension, balance, or vision are experienced as alarming, triggering further monitoring and escalation of symptoms.
Another important component is the interface between attention and beliefs about control over movement. Neurocognitive models propose that healthy voluntary action relies on an internal sense that “I am the one causing this movement,” supported by matching predicted and actual sensory consequences of action. In functional neurological disorder, the networks that support this sense of agency—including parietal and prefrontal regions—may fail to integrate motor commands with their expected outcomes. When attention is highly focused on movement, small mismatches or uncertainties can be experienced as a loss of control, even though peripheral motor pathways remain intact. This altered experience of agency is reflected in findings such as reduced activity in regions associated with self-generated action and increased reliance on externally driven cues.
Selective attention to threat-related cues also appears to shape symptom expression. Many individuals with functional neurological disorder show cognitive biases toward detecting and remembering information linked to illness, bodily harm, or disability. Experimental tasks often reveal faster detection of symptom-related stimuli and difficulty disengaging from them. These attentional biases are thought to be supported by enhanced connectivity between limbic structures such as the amygdala and cortical attention networks. When emotional significance is tightly coupled to bodily sensations, the slightest fluctuation in sensation can capture consciousness, crowding out other information and reinforcing symptom experiences.
In addition, attentional control—the ability to shift, divide, and sustain attention flexibly—may be compromised. Difficulties in switching attention away from internal sensations and rumination toward goal-directed tasks can keep people locked in cycles of monitoring their symptoms. Neuropsychological assessments sometimes reveal subtle inefficiencies in executive functions such as set shifting, inhibition, and working memory, which may make it harder to redirect attention once a symptom has become the primary focus. These executive processes rely heavily on prefrontal circuitry, which interacts with motor and sensory areas to determine which signals are amplified or suppressed.
Symptom focusing plays a pivotal neurocognitive role in this context. When a person continually checks a limb for weakness, analyzes their gait for instability, or scans for dizziness, attention is driven repeatedly toward the very experiences they fear. This repeated focusing can increase the precision of sensory representations linked to symptoms while downregulating alternative, non-symptom-related representations. Over time, this may help explain why symptoms can become more stereotyped, persistent, and easily triggered, even by mild stressors or cues that have been associated with episodes in the past.
Functional connectivity findings further support the idea that attention is misallocated rather than globally impaired. Resting-state and task-based imaging often show disrupted communication between the default mode network, which supports self-referential thought, and networks governing externally oriented attention and motor control. When boundaries between internal self-focus and external task focus are blurred, internal sensations and concerns can intrude into motor execution and sensory perception more readily. This pattern aligns with clinical reports that symptoms often worsen when individuals are introspective, fatigued, or under emotional strain and may improve when attention is successfully absorbed in engaging external activities.
Motor symptoms provide a clear example of these neurocognitive mechanisms at work. During functional limb weakness or gait disturbance, studies suggest that preparatory motor activity may be present, but the usual integration with intention and self-agency is disrupted. The brain registers the movement as not fully self-initiated, even as the motor system is actively engaged. Heightened attention to the affected limb and concerns about its reliability can further undermine automatic motor programs, shifting control to effortful, consciously monitored strategies that are more vulnerable to failure. The resulting mismatch between effort and outcome reinforces the experience that the limb is weak or uncontrollable.
Similarly, sensory symptoms such as numbness, tingling, or visual disturbances reflect altered gating of sensory input under the influence of attention. In some individuals, top-down processes may suppress normal sensory signals in a specific body region, effectively “turning down the volume” in ways that match the person’s expectations or fears about loss of function. In others, low-level noise in sensory systems might be misinterpreted and amplified, producing vivid experiences of distortion or discomfort. In both cases, attention acts as a filter and amplifier, prioritizing certain signals while minimizing others, and these selections are mirrored by activity changes in sensory cortices and association areas.
Emotion and arousal systems tightly interact with these attentional mechanisms. Heightened arousal—whether due to acute stress, chronic anxiety, or unresolved trauma—can shift the brain into a mode where threat detection is prioritized at the expense of nuanced sensory and motor processing. Under such conditions, the salience network may over-tag certain bodily cues as urgent, repeatedly drawing attention back to them. This state can make it easier for transient experiences to solidify into enduring symptoms and can make symptoms more reactive to emotional triggers, interpersonal conflict, or environmental cues reminiscent of prior stress.
Learning processes consolidate these attentional patterns over time. Each episode in which a symptom captures attention, disrupts functioning, and elicits strong emotional responses reinforces neural pathways linking bodily sensations, attentional focus, and motor responses. Through associative learning, cues such as particular environments, postures, or activities become linked with symptom onset. As these associations strengthen, attention is preemptively drawn toward bodily states in those contexts, increasing the likelihood that symptoms will reoccur. This cycle can operate outside conscious awareness, yet it is grounded in identifiable neurocognitive mechanisms that involve attention networks, salience processing, and the integration of sensory input with prior experiences.
Expectation, prediction, and symptom perception in fnd
Expectation plays a central role in how symptoms in functional neurological disorder are generated, perceived, and maintained. The brain is not a passive receiver of sensory input; it is constantly generating predictions about what should be felt or how a movement should unfold. These predictions are shaped by prior experiences, beliefs about illness, cultural narratives, and emotional learning. When a person with a history of faintness, panic, or neurological illness enters a situation they associate with danger—such as standing in a crowded supermarket or walking on an uneven surface—their brain may predict sensations of dizziness, leg weakness, or visual blurring before any significant physiological changes have occurred. These predictions act as templates that guide perception, making it more likely that ambiguous bodily cues will be interpreted as evidence that the predicted symptom is happening again.
Within computational and predictive coding frameworks, the brain is thought to minimize the difference between expected and actual sensory input, often referred to as prediction error. In functional neurological disorder, expectations about threat, incapacity, or loss of control are often given very high “precision,” meaning the brain treats them as highly reliable. When top-down expectations are assigned more weight than the raw incoming data, small or nonspecific bodily changes may be overridden, and perception is pulled toward what was expected. If a person strongly expects that standing up will cause their legs to “give way,” minor shifts in balance or normal muscle fatigue may be perceived as strong confirmation of that expectation. The resulting experience is not fabricated; it is a genuine perception built from the brain’s attempt to reconcile its predictions with the noisy sensory input it receives.
Illness beliefs and prior medical experiences shape these predictive models in powerful ways. Repeated exposure to messages that one’s body is fragile, damaged, or neurologically compromised can foster a worldview in which normal bodily variations are viewed as ominous. For example, someone who has seen a close relative develop stroke-related weakness, or who has been extensively investigated for possible epilepsy or multiple sclerosis, may develop strong expectations that similar catastrophic events will happen to them. Over time, these expectations can become embedded in neural networks involving the hippocampus, prefrontal cortex, and limbic regions, so that even subtle sensations reminiscent of the feared condition immediately trigger a cascade of symptom-focused predictions. In this context, a momentary feeling of unsteadiness is not just “wobbliness”; it is rapidly interpreted as a sign of impending collapse, driving a surge in anxiety and intensifying symptom perception.
Stress and trauma further alter predictive systems by teaching the body that certain internal states are dangerous in themselves. Individuals with a history of panic, abuse, or medical trauma may become sensitized to interoceptive cues such as increased heart rate, gastrointestinal sensations, or shifts in breathing. The body learns that these signals precede or accompany emotional overwhelm, loss of control, or pain. As a result, the brain begins to predict that these cues mean “something is wrong with my body” rather than “I am having a normal stress response.” This shift in meaning expectations can transform transient sensations into markers of serious illness. Functional symptoms like non-epileptic attacks, swallowing difficulties, or sensory disturbances can emerge within this predictive landscape, as the brain seeks to explain and control the anticipated threat it “knows” is coming from within.
Cognitive expectations also influence motor predictions in ways that are highly relevant for functional weakness, tremor, and gait disturbance. Under typical conditions, the motor system generates an efference copy—an internal forecast of the movement’s sensory consequences—so that actions feel fluent and self-generated. In functional neurological disorder, beliefs such as “my leg cannot support me” or “my hand will start shaking when I write” can bias these predictions toward failure. When the expected outcome is weakness or tremor, the brain may attenuate normal motor drive or generate irregular motor commands that match the feared pattern. The mismatch between strong subjective effort (“I am trying as hard as I can”) and the brain’s expectation of impaired performance contributes to the distinctive experience of involuntariness, even as peripheral motor pathways remain intact.
Expectations do not arise in isolation; they are continually updated through learning about the consequences of actions and symptoms. Each time a predicted symptom occurs in a feared situation, the association between context and symptom is strengthened. For instance, if a person repeatedly experiences non-epileptic attacks at work meetings, their brain learns to predict that meetings are dangerous and that an attack is likely. Anticipatory anxiety increases before the event, attention becomes narrowly focused on bodily sensations that previously preceded attacks, and minor shifts in arousal or perception are quickly interpreted as evidence that an attack is starting. This sequence reduces prediction error by confirming what was expected, but at the cost of reinforcing a maladaptive symptom pattern that feels increasingly out of one’s control.
Conversely, situations in which the feared outcome does not occur can, in principle, reduce exaggerated expectations; however, in functional neurological disorder these “disconfirming” experiences are often discounted or not fully encoded. If a person walks across a room several times without falling yet remains fixated on the one episode when their legs buckled, the brain’s predictive model is updated in a biased way. Negative experiences are given more weight than neutral or positive ones, maintaining a high prior expectation of failure. This selective updating is supported by cognitive and emotional biases, including catastrophizing, attentional bias to threat, and negative memory filtering, which together skew prediction systems toward confirming illness-based expectations even in the face of contradictory evidence.
The way sensory information is interpreted in light of expectations has a direct impact on the vividness and quality of symptom experience. When the brain expects numbness, for example, it may dampen or gate tactile input from the corresponding body region while amplifying any sensory noise that fits the expectation of “deadness” or “absence of feeling.” This can result in patchy, non-anatomical patterns of sensory loss that nonetheless feel entirely real to the person experiencing them. Similarly, visual expectations can influence experiences such as tunnel vision, double vision, or intermittent blurring. Under conditions of heightened arousal and anticipated threat, the visual system may prioritize detection of potential dangers at the expense of stable, detailed perception, producing symptoms that correspond more closely to the predicted state of “I can’t see properly” than to any structural damage in the visual pathways.
Expectation and prediction error are closely intertwined with attention and symptom focusing. Once the brain predicts that a symptom is likely, attention is automatically drawn to body regions or sensory channels associated with that symptom. This focused monitoring increases the subjective intensity and clarity of any relevant sensation, which in turn appears to confirm the initial expectation. In a person who expects palpitations, for example, attention may be locked onto the chest and pulse, transforming normal heartbeats into alarming thuds. The brain treats these amplified perceptions as strong evidence that the predicted state is real, further reducing prediction error while entrenching the symptom. Over time, this cycle of expectation, attention, and perceived confirmation can make symptoms highly context-sensitive and easily triggered, even in the absence of significant physiological change.
Social and cultural factors also shape the expectations that feed into symptom perception. Media portrayals of neurological illness, conversations with family members, and previous diagnoses by health professionals provide templates for how symptoms “should” look and feel. People who have witnessed seizures, strokes, or collapses in others may unconsciously adopt similar symptom patterns when their own internal states become overwhelming or confusing. These socially learned expectations can influence which bodily signals are noticed, how they are described, and which movement or sensory patterns are generated under stress. In this way, functional symptoms can be understood as emerging from predictive models that are personal yet also embedded in broader cultural narratives about illness, disability, and vulnerability.
At a neurobiological level, structures such as the insula, anterior cingulate cortex, prefrontal cortex, and temporoparietal junction are thought to mediate the integration of expectations, sensory data, and self-related processing. The insula helps generate interoceptive predictions about internal bodily states, while the anterior cingulate cortex signals discrepancies between expected and actual outcomes that might require updating. In functional neurological disorder, altered connectivity among these regions may lead to an imbalance in which top-down expectations dominate and prediction errors that could correct them are either minimized or misinterpreted as further evidence of dysfunction. For instance, when movement does not proceed as feared, this could generate a prediction error that encourages more realistic expectations. However, if the error signal is reinterpreted as “my body is behaving unpredictably and cannot be trusted,” expectations of danger and loss of control are strengthened instead of weakened.
Contextual cues and emotional states modulate the strength and direction of predictive processes. Fatigue, sleep deprivation, interpersonal conflict, and environmental reminders of past trauma can all increase the weight assigned to threat-based expectations. In such states, the brain becomes more vigilant and more inclined to assume that bodily signals signal harm. The same minor sensation that would be ignored during a relaxed, absorbed activity may be interpreted as a harbinger of collapse or paralysis during a stressful medical appointment or after a triggering conversation. This context dependence helps explain why symptoms may appear suddenly, fluctuate dramatically, or disappear when attention is deeply engaged elsewhere. It reflects a predictive system that is continuously recalibrating the balance between expectation and incoming data, often in ways that maintain functional symptoms when fear and uncertainty are high.
Interactions between attention, expectation, and bodily sensations
The relationship between bodily sensations, attention, and expectation in functional neurological disorder can be understood as a continuously looping system rather than a simple cause-and-effect chain. Bodily signals provide a stream of raw input, but this input is immediately filtered through the person’s current expectations and the focus of their attention. When expectation is tilted toward danger, loss of control, or impending collapse, even minor fluctuations in sensation are flagged as important and pulled into conscious awareness. Attention then acts as a spotlight, magnifying these sensations and allowing them to dominate perception, while background information that might reassure or contradict the feared interpretation is pushed aside.
Within this loop, bodily sensations are not just passively perceived; they are actively constructed by predictive models. The brain constantly generates hypotheses about what is happening in the body—such as “my leg is weak,” “I am about to have a seizure,” or “I cannot see clearly”—and these hypotheses shape which sensory signals are emphasized and how they are interpreted. When a strong expectation is present, prediction error signals that would normally prompt revision of the hypothesis may instead be minimized or reinterpreted. For example, if someone expects that standing will lead to leg collapse, moments of stable standing may be overlooked or explained away, whereas a brief wobble is seized upon as proof that the expectation was correct. Over time, the bodily sensation of instability is strengthened by this biased integration of evidence.
A key feature of this interaction is the way attention and expectation can alter the bodily map in the brain. Interoceptive and proprioceptive signals from the body are represented in networks that include the insula, somatosensory cortex, and parietal regions. When attention repeatedly targets a specific body part or symptom, these representations can become more precise for symptom-related features while less responsive to neutral or reassuring signals. Someone who repeatedly checks their leg for weakness, for instance, becomes highly attuned to any feeling of heaviness or slight delay in movement. Expectation fills in gaps in the sensory data, so that ambiguous cues are labeled as “evidence of weakness,” even when objective strength is preserved. The brain’s body map begins to reflect the feared narrative, and the experienced sensations match this altered map.
Symptom focusing intensifies these dynamics. Once a person becomes preoccupied with a particular bodily sensation—such as dizziness, numbness, or tremor—attention is continuously drawn back to it, often many times per minute. This repeated checking heightens the salience of the sensation, making it feel more intrusive and constant than it might otherwise be. In addition, the act of monitoring can subtly change the bodily state itself. Hypervigilance to balance and leg position may disrupt automatic postural adjustments, exaggerating sway or stiffness; close monitoring of breathing can lead to irregular patterns that produce lightheadedness; and focusing on visual clarity can generate blinking, squinting, or strain that alter how the visual field is experienced. In this way, attention does not simply observe symptoms; it can help produce and maintain them.
Emotional context modulates the strength of the interaction between attention, expectation, and bodily sensations. Under conditions of heightened arousal—such as stress, fear, shame, or anger—the brain shifts toward a threat-oriented mode in which bodily cues are scanned for signs of danger. In this state, sensations that might normally be filtered out as irrelevant are more likely to be flagged as meaningful. If a person already carries a strong expectation that their body is fragile or unreliable, stress amplifies the weight of that expectation and narrows attentional focus onto internal cues that seem to confirm it. A minor flutter in the chest during an argument, for example, might be experienced as alarming palpitations, prompting intense monitoring and further autonomic activation that magnifies the sensation.
Social and environmental cues further shape these interactions. Situations associated with previous episodes—such as a workplace where a collapse occurred, a staircase where leg weakness was first noticed, or a hospital where intensive investigations took place—can prime expectation and sensitized attention before any symptom arises. The environment becomes a powerful predictor: entering the feared context triggers anticipatory bodily tension and a cascade of symptom-focused predictions. As expectation rises, bodily sensations are scanned more closely, and normal variations are interpreted through the lens of past experiences. The resulting symptoms then appear to confirm the danger of that context, deepening the learned association between place, bodily sensations, and loss of control.
Over time, these patterns create a self-reinforcing loop. Attention is captured by threat-related sensations; expectations about dysfunction guide perception toward confirming evidence; bodily sensations are altered by both arousal and behavioral responses; and each symptomatic episode strengthens the network linking these elements. For instance, a person who expects to fall when walking in public may walk with stiff, guarded movements, avoid looking around, and continuously monitor their legs. These behaviors reduce the efficiency of balance mechanisms, making stumbling more likely. The stumble is interpreted as proof that the legs are unreliable, further elevating expectation and driving even closer attention on the next outing. The loop is sustained not because the body is structurally damaged, but because the integrated system of attention, expectations, and bodily feedback repeatedly converges on the same outcome.
At the neurocognitive level, this looping can be conceptualized as a miscalibrated weighting system. Top-down models give excessive weight to prior beliefs about symptoms, while bottom-up signals that do not fit these beliefs are discounted. Attention acts as the mechanism that implements this weighting in real time, prioritizing some signals and excluding others. A sensation that matches the expected pattern of numbness, tremor, or visual blurring is amplified and rapidly linked with self-related meaning (“this proves I cannot trust my body”), whereas signals of normal function are often ignored or not encoded as significant. The result is a lived bodily experience that feels consistent, predictable, and compellingly real from the person’s perspective, even though it does not align with structural pathology.
The sense of agency is also deeply influenced by these interactions. When a person expects that a movement will fail or become abnormal and simultaneously focuses intense attention on monitoring that movement, the usual effortless flow of motor control is interrupted. The motor system may generate atypical patterns—such as sudden giving way, jerky tremor, or freezing—that are experienced as not truly chosen. Bodily sensations of effort and strain become dissociated from the observed movement outcome, and the person feels as though the body is acting on its own. This dissociation is reinforced each time the pattern occurs, making future episodes more likely whenever similar expectations are activated and attention is again fixed on the vulnerable movement.
Context-dependent variability in symptoms illustrates the flexibility of this interactional system. Many individuals describe symptom reduction during absorbing, externally focused activities—such as engaging conversation, creative work, or immersive entertainment—when attention is naturally pulled away from the body and expectations of imminent dysfunction are less active. In contrast, symptoms often intensify during quiet, introspective periods, medical evaluations, or stressful interpersonal situations, where internal monitoring and anticipatory fear are high. This pattern does not imply that symptoms are deliberate or “all in the mind”; rather, it reflects the extent to which bodily experience is dynamically shaped by where attention is directed and which expectations are currently in play.
Learning processes gradually consolidate these interaction patterns into habitual responses. Each time a bodily sensation, an expectation of harm, and a focused attentional response co-occur, the neural connections among them are strengthened. The body becomes conditioned to respond with similar symptoms whenever comparable internal states or external contexts arise. Familiar triggers, such as rising from a chair, entering a crowded space, or hearing specific medical terms, can rapidly evoke symptom-focused predictions and bodily sensations even before conscious awareness catches up. Breaking this cycle in clinical settings often requires interventions that simultaneously address expectation, attentional style, and the meaning attached to bodily sensations, because each component sustains the others within the broader system.
Clinical implications for assessment and treatment
Clinical assessment benefits from explicitly considering how attention and expectation are shaping the person’s symptoms at the time of evaluation. History-taking can go beyond cataloging episodes to explore when symptoms are better or worse, what the person is attending to just before and during an episode, and which situations are most strongly linked with fear or anticipation of symptoms. Asking the person to describe their moment-to-moment experience—where their mind is, what they are expecting to happen, and how they respond internally when they notice a bodily change—can reveal patterns of symptom focusing that are not obvious from a standard medical history. Clinicians can gently highlight contextual variability (for example, improvement when distracted or during emergencies) as evidence of a potentially reversible functional mechanism, while validating that the symptoms are genuine and distressing.
Bedside examination offers opportunities to observe and demonstrate the role of attention directly. Simple maneuvers, such as comparing performance when the person is closely watching a movement versus when their attention is diverted by a cognitive task, can show how symptoms change with attentional load. In functional tremor, for instance, asking patients to copy a rhythm with the unaffected limb or to perform complex mental arithmetic often reduces or abolishes the tremor; in functional weakness, motor strength may improve when movements are made automatically or in a different plane than the one the person is monitoring. Communicating these findings in a clear, nonjudgmental way helps frame the problem as a disorder of nervous system functioning rather than damage, setting the stage for therapies that focus on retraining perception, attention, and movement.
Formulation in clinical practice can explicitly incorporate models of attention and expectation. Rather than attributing symptoms solely to stress or psychological conflict, clinicians can explain that the brain’s prediction and control systems have become miscalibrated, such that certain bodily signals are given excessive importance and expectations of failure or danger are weighted too heavily. Using metaphors—such as a “sensitive car alarm” or a “software problem in how the brain filters and predicts signals”—can help people understand how real, involuntary symptoms arise in the absence of structural damage. Linking this explanation to observed examination signs, and to the person’s own account of fluctuation with distraction or emotional states, supports engagement in treatment while countering beliefs that nothing can change or that symptoms must be due to hidden disease.
Psychoeducation is most effective when it ties these mechanisms to practical strategies. Explaining that attention acts like a spotlight which amplifies whatever it shines on prepares people for interventions that ask them to shift focus away from symptoms and toward external tasks, movement goals, or broader sensory experiences. Clarifying that expectation can “pull” perception toward feared outcomes encourages collaborative experiments to test and gently revise catastrophic predictions. For example, a patient who is certain that standing always leads to collapse can be invited to conduct graded standing trials in a safe, supervised environment, paying attention to signs of stability rather than solely to feelings of impending failure. Each successful trial becomes evidence that begins to recalibrate prediction error, weakening the grip of prior expectations.
Physical and occupational rehabilitation for motor symptoms in functional neurological disorder increasingly focuses on retraining automatic movement rather than on traditional strengthening alone. Therapy sessions emphasize externally oriented attention—such as walking to a visual target, stepping in time with music, or using dual tasks—to reduce self-monitoring and re-engage habitual motor programs. Therapists may deliberately limit detailed discussion of symptom quality during exercises and instead emphasize functional goals and the experience of fluent movement. For functional gait disturbance, this can involve practicing variable walking speeds, turns, and obstacle negotiation while the therapist maintains a strong external focus through cues and conversation. As patients repeatedly experience successful, less-monitored movement, their expectations of failure are challenged, and new patterns of motor prediction are established.
In sensory presentations, occupational and physiotherapists can design graded sensory retraining to modify how the brain filters and interprets tactile, visual, or proprioceptive input. Techniques may include systematic exposure to different textures, pressures, or positions while encouraging a curious, nonjudgmental style of attention rather than vigilant symptom focusing. Patients might be asked to notice a range of sensations—including neutral or pleasant ones—rather than concentrating only on numbness, discomfort, or distortion. Over time, this broader sensory sampling helps reduce the dominance of symptom-related signals in the brain’s body map and supports more balanced perception that is less driven by rigid expectations of loss or abnormality.
Psychological interventions are well-suited to address the cognitive and emotional dimensions of expectation and attention. Cognitive-behavioral approaches can help patients identify and test illness-related beliefs, such as “any dizziness means I will collapse” or “a small twitch proves I am developing a severe neurological disease.” Therapy may include structured behavioral experiments that place the person in mildly challenging situations while carefully monitoring what actually happens, how attention is allocated, and how symptoms change. By guiding patients to notice occasions when feared outcomes do not occur—or occur to a lesser extent than anticipated—clinicians help generate corrective experiences that incrementally reduce the precision of catastrophic predictions.
Attention training techniques can be integrated into therapy to modify habitual patterns of internal monitoring. Exercises that practice shifting focus flexibly between internal and external cues, broadening the attentional field to include the environment, and sustaining engagement with meaningful tasks can reduce the grip of narrow, symptom-focused awareness. For some individuals, mindfulness-based strategies are useful when they emphasize non-reactive observation of bodily sensations rather than analysis or control. The goal is not to ignore the body entirely but to cultivate a stance in which sensations can be noticed without immediately being interpreted as signs of harm, thereby diminishing the urgency that drives compulsive checking and escalation of symptoms.
Retraining therapy for dissociative or non-epileptic attacks often combines elements of cognitive restructuring, arousal regulation, and attentional redirection. Patients may learn to identify early warning signs—such as shifts in vision, a sense of detachment, or rising panic—and to implement competing responses that alter both bodily state and focus of awareness. These strategies can include paced breathing, grounding techniques that highlight external sensory information, or posture and movement changes that counteract collapse. As patients experience that episodes can be shortened, modified, or occasionally prevented, their sense of agency increases and expectations of inevitable loss of control begin to weaken. This experiential learning is central to altering the predictive models that previously made attacks feel unavoidable.
Interoceptive exposure and emotion-focused therapies can be particularly relevant when bodily sensations are strongly associated with fear or traumatic memories. Under careful guidance, individuals are gradually exposed to internal cues they typically avoid—such as increased heart rate, breathlessness, or muscle tension—while practicing new interpretations and coping responses. By repeatedly experiencing these sensations without catastrophic outcomes, the brain updates its predictions about what they mean, reducing the automatic linkage between specific bodily states and expectations of collapse, paralysis, or seizure. This process helps loosen the bond between emotional arousal and symptom expression, allowing a wider range of feelings to be tolerated without triggering functional episodes.
Multidisciplinary coordination enhances the effectiveness of these interventions. Neurologists, psychiatrists, psychologists, physiotherapists, occupational therapists, and speech-language pathologists can work together from a shared formulation that foregrounds attention and expectation. Consistent messages across providers—that symptoms are real, that they arise from potentially reversible changes in brain functioning, and that active retraining can make a difference—support treatment adherence and reduce confusion. Team meetings can be used to align goals, review how the patient’s attention and predictive patterns are manifesting across settings, and adjust strategies accordingly. For instance, a physiotherapist’s observation that gait improves with distraction can inform psychological work on reducing fear of movement and catastrophizing about falls.
Family and social environments also play a crucial role in maintaining or modifying attentional and expectational patterns. Education for family members can emphasize the importance of not inadvertently reinforcing symptom focusing—for example, by repeatedly asking about symptoms, scrutinizing bodily changes, or reacting with visible alarm to minor fluctuations. Instead, families can be coached to validate distress while gently redirecting attention toward functional abilities, engagement in valued activities, and signs of progress. This shift in interpersonal response helps reduce external cues that maintain the person’s internal monitoring of symptoms and supports the gradual construction of new narratives about resilience, recovery, and bodily reliability.
In everyday life, practical self-management strategies can consolidate treatment gains by embedding attention and expectation retraining into routines. Patients may be encouraged to schedule regular periods of externally focused activity that reliably draw attention away from symptoms, such as hobbies, social interaction, or creative pursuits. Structured pacing can prevent overreliance on internal cues to determine activity levels, while graded exposure plans can guide re-entry into avoided situations with a focus on function rather than symptom surveillance. Keeping brief records of successes—moments when feared outcomes did not occur or were less severe than expected—provides concrete material for revising expectations and supports a more balanced, evidence-based view of bodily capabilities.
Communication style throughout assessment and treatment is central to how patients interpret their symptoms and prospects for change. When clinicians explicitly acknowledge the reality and severity of suffering, avoid implying conscious control, and link scientific explanations of attention and prediction error to personally meaningful examples, they reduce stigma and defensiveness. This relational groundwork makes it more likely that patients will engage in rehabilitative efforts that may initially feel counterintuitive—such as moving attention away from the symptom or approaching feared sensations. Clear, hopeful, and consistent framing that emphasizes the brain’s capacity for relearning helps align expectations with the goals of therapy, increasing the chances that new patterns of perception and movement will be consolidated over time.
Future directions in research on attention and expectation in fnd
Research on functional neurological disorder is increasingly drawing on computational and network-based models of brain function, yet many of these theories remain only partially tested in real-world clinical populations. Future studies will benefit from explicitly operationalizing key constructs such as attention, expectation, and prediction error, and examining how they relate to specific symptom clusters over time. This will likely require combining experimental paradigms from cognitive neuroscience with ecologically valid assessments that capture how people deploy attention and form expectations in their daily environments, not only in laboratory tasks. Longitudinal designs, including intensive repeated sampling of symptoms, context, and cognitive states through digital tools, can clarify causal directions and help distinguish between processes that initiate symptoms and those that primarily maintain them.
One important avenue involves refining predictive coding and active inference models for this population. Current theories propose that symptoms arise when high-precision expectations override ambiguous sensory input, but more direct markers of this imbalance are needed. Experimental work could manipulate expectation using cues about impending bodily sensations or motor demands while measuring neural responses to unexpected outcomes. For instance, paradigms that vary the reliability of sensory feedback, or that subtly alter the consequences of voluntary movement, can be used to quantify how flexibly people with functional neurological disorder update their predictions compared with healthy controls and other clinical groups. Such studies may identify measurable indices of impaired prediction error signaling that could, in turn, serve as biomarkers for diagnosis or treatment response.
Another priority is to move beyond cross-sectional imaging findings toward dynamic models of brain network behavior. Most neuroimaging studies have shown atypical connectivity within salience, default mode, sensorimotor, and attentional networks, but the field still knows little about how these patterns change moment to moment as attention shifts or symptoms fluctuate. Emerging methods such as time-resolved functional connectivity, network controllability analysis, and computational modeling of large-scale brain dynamics could be employed during tasks that manipulate attention and expectation, or during symptom provocation and reduction. This may reveal whether particular network configurations reliably precede symptom onset, or whether transitions into and out of symptomatic states are marked by characteristic patterns that could be targeted in future interventions.
There is also a need for experimental paradigms that more precisely capture symptom focusing and its physiological consequences. Laboratory tasks could track how quickly and persistently individuals orient toward symptom-related versus neutral bodily cues, and how this influences autonomic responses, muscle activity, and postural control. Eye tracking, pupillometry, and peripheral physiological recordings can be combined with self-report measures and behavioral performance to build richer models of how attention interacts with bodily state. These fine-grained data could help differentiate patients whose symptoms are predominantly driven by hypervigilance and catastrophic expectation from those in whom dissociation, emotional numbing, or other processes play a larger role, improving the specificity of both psychological and physical therapies.
Digital and ambulatory technologies offer powerful opportunities to extend this work outside the clinic. Wearable sensors, smartphone-based ecological momentary assessment, and passive monitoring of movement, heart rate, and sleep can be integrated with brief repeated questions about attention, expectation, and context. These multimodal datasets can be analyzed with machine learning approaches to identify patterns that foreshadow symptom exacerbations or remissions, revealing the everyday triggers and sequences of cognitive and bodily changes that are difficult to reconstruct retrospectively. Such work may eventually support just-in-time adaptive interventions that detect early warning signs and deliver targeted prompts for attention shifting, grounding, or movement retraining exercises before symptoms fully escalate.
Future treatment research is likely to focus on mechanistic, component-level interventions that directly target attentional misallocation and maladaptive expectations. While current therapies often include elements of attention training and cognitive restructuring, systematic dismantling and factor-analytic studies are needed to determine which techniques most effectively modify key processes such as catastrophic prediction, rigid bodily threat schemas, and habitual symptom monitoring. Randomized controlled trials could compare different attention-based strategies—for example, external focus during movement practice, flexible attentional switching tasks, and mindfulness approaches emphasizing non-reactive awareness—measuring not only symptom change but also laboratory-based indices of attentional bias and prediction error updating. This would help identify which patients respond best to which style of attentional retraining and why.
Similarly, research on expectation-focused treatments could move beyond general cognitive restructuring to more precise, experimentally informed approaches. Behavioral experiments designed to generate strong, clear prediction errors—such as structured exposures that disconfirm feared outcomes in carefully graded steps—can be optimized using computational models that estimate how quickly individuals adjust their internal priors. Trials might compare standard cognitive-behavioral interventions with versions augmented by explicit discussion of prediction error and brain learning, measuring whether making these mechanisms transparent enhances engagement and accelerates belief change. Such work would also clarify how many corrective experiences are typically required to meaningfully shift entrenched expectations about bodily fragility or loss of control.
Interdisciplinary collaboration between cognitive neuroscientists, clinicians, and data scientists will be crucial for developing and testing these mechanistically targeted treatments. For example, proof-of-concept studies could pair real-time neurofeedback or noninvasive brain stimulation with movement or sensory retraining therapy, aiming to transiently modulate nodes within salience and attention networks while patients practice new patterns of focus and interpretation. If certain stimulation parameters reliably enhance the effects of behavioral exercises on both symptoms and brain network function, this would support a more integrated model in which neuromodulation is used to temporarily increase the brain’s receptivity to new learning about bodily states and expectations, rather than acting as a stand-alone treatment.
Child and adolescent populations represent another critical frontier for research. Early-life experiences shape the development of attentional control, interoceptive sensitivity, and beliefs about the body, yet there are comparatively few studies of how these systems function in young people with functional neurological symptoms. Longitudinal cohorts that track stress exposure, emotion regulation skills, attentional style, and illness narratives from childhood into adolescence could identify developmental trajectories that confer risk or resilience. Such data might guide early, preventive interventions focusing on flexible attention, realistic bodily expectations, and adaptive coping in high-risk groups, potentially altering the course of symptoms before they become entrenched in adult life.
Cultural and social-contextual factors also warrant systematic investigation. Expectations about illness, disability, and bodily control are shaped by local health beliefs, media portrayals, and health-care interactions, yet most research has been conducted in a narrow set of cultural settings. Comparative studies across regions, languages, and health systems could clarify how different explanatory models influence symptom presentation, attention to the body, and responsiveness to various therapies. Qualitative and mixed-methods approaches will be essential here, allowing researchers to capture the narratives and meanings that underlie bodily experience in diverse groups, and to design psychoeducation and treatment protocols that resonate with different cultural frameworks without reinforcing stigma or symptom focusing.
The integration of genetic, epigenetic, and neuroendocrine measures with cognitive and behavioral research offers another promising direction. While functional neurological disorder is not a classical genetic disease, individual differences in traits such as anxiety sensitivity, attentional control, and interoceptive accuracy may have biological underpinnings that shape vulnerability. Studies examining how stress-related hormones, inflammatory markers, or epigenetic modifications correlate with attentional biases, expectation patterns, and symptom volatility may reveal multi-level mechanisms linking environmental adversity, bodily states, and brain prediction systems. This could eventually support personalized treatment plans that take into account not only psychological profiles but also biological context when selecting or sequencing interventions.
Methodological rigor and consensus-building across research groups will be essential for progress. The field would benefit from agreed core outcome sets that include standardized measures of attention, expectation, symptom-focused thinking, and functional capacity, alongside traditional symptom severity scales. Shared task paradigms and data-sharing initiatives could enable large-scale meta-analyses and cross-validation of proposed biomarkers and cognitive mechanisms. Open science practices—such as pre-registration of hypotheses, transparent reporting of analytic pipelines, and publication of null results—will help refine theoretical models and prevent premature conclusions about the roles of specific cognitive processes in symptom generation.
Future research should pay special attention to patient perspectives, involving individuals with lived experience in the design, implementation, and interpretation of studies. Co-production approaches can highlight which aspects of attention and expectation are most salient and distressing to patients themselves, what kinds of explanatory models feel validating or alienating, and which forms of retraining or therapy are acceptable and feasible in everyday life. This participatory work can ensure that mechanistic insights about prediction error, symptom focusing, and brain network function are translated into interventions that are not only scientifically grounded but also practically usable and meaningfully aligned with patients’ goals and values.
