Many people with obsessive-compulsive disorder (OCD) struggle not only with intrusive thoughts and rituals. Behind these symptoms often lie two closely related patterns: perfectionism and procrastination.
My favorite researcher on this subject, the psychologist Joachim Stoeber has conducted extensive research on this topic. He shows that perfectionism is not a unitary phenomenon. The crucial distinction is between:
Perfectionistic strivings (high personal standards that can actually be performance-enhancing) and
Perfectionistic concerns (fear of mistakes, doubts about one’s own performance, excessive self-criticism).
It is primarily the second form that is closely linked to worry, postponement and obsessive-compulsive symptoms (Stoeber & Joormann, 2001; Stoeber, 2018). Anyone who constantly fears that something is not “good enough” either puts tasks off or repeats them endlessly – a classic vicious circle in OCD.
In research and clinical practice these patterns are assessed with established questionnaires. For perfectionism the Frost Multidimensional Perfectionism Scale (FMPS; Frost et al., 1990) or the Almost Perfect Scale–Revised (APS-R; Slaney et al., 2001) are frequently used. They differentiate between high standards on the one hand and the burdensome aspects such as “Concern over Mistakes”, “Doubts about Actions” and perceived parental pressure on the other. For procrastination the General Procrastination Scale (GPS; Lay, 1986) or the Pure Procrastination Scale (Steel, 2010) are often employed. Meta-analyses clearly show: it is not the high standards themselves, but above all the anxious evaluation of mistakes and the resulting avoidance that correlate strongly with procrastination and obsessive symptoms (Sirois et al., 2017; Limburg et al., 2017).
Neurophysiology and Neuropsychology
At the neural level, OCD, maladaptive perfectionism and procrastination share central circuits.
Error monitoring and the anterior cingulate cortex (ACC)
The dorsal ACC is the central instance of error detection. In OCD and in people with high perfectionistic concerns this region is frequently over-active. This is reflected in an enhanced Error-Related Negativity (ERN) – an electrophysiological signal that fires even at the slightest deviation from the “ought” (Riesel, 2019; Stahl et al., 2015). The brain therefore constantly signals “something is wrong”, even when objectively everything is fine. This chronic error signal drives both compulsive actions and the feeling of not yet being finished.
Prefrontal control and cognitive flexibility
The dorsolateral prefrontal cortex (dlPFC) and the orbitofrontal cortex are responsible for impulse control, decision-making and switching between thinking strategies. In OCD and pronounced procrastination one often finds reduced activation and disturbed connectivity here (Ahmari & Rauch, 2022). This makes it harder to let go of thoughts and to adapt plans flexibly – exactly what plays a role in “not being able to start” and in endless repetition.
Default-mode network and emotion regulation
Procrastination is increasingly understood as a disorder of emotion regulation. Tasks that evoke discomfort are avoided. Neuroimaging studies show changes in the default-mode network (among others medial prefrontal cortex, posterior cingulate, hippocampus) as well as in the connection between cognitive control networks and emotion-processing regions (insula, amygdala) (Zhang et al., 2016; Chen et al., 2020). The result: instead of tackling the unpleasant task, thinking drifts into rumination or distraction.
Summary
An over-active error-monitoring system (ACC) + impaired prefrontal control capacity + difficult emotion regulation produce the typical cycle of “It has to be perfect → I’d rather not start → Tension rises → Even more control is needed”. It is precisely at these network levels that carefully structured neurofeedback intervenes.
The Particular Challenge in Neurofeedback
Exactly this need for control makes neurofeedback difficult with OCD patients. Alpha-theta training in particular, which requires giving up control and sliding into a relaxed state, is often experienced as unpleasant. Many sufferers actively try to steer the feedback signal – and thereby generate more tension instead of regulation.
The same pattern appears with classical frequency-band feedback: the inner pressure to “get it right” stands in the way of the actual learning process.
A Practice-Tested Approach
In work with these patients a stepwise procedure has proved effective:
Stabilisation phase Approximately 15 sessions of exclusively infralow neurofeedback at T3/T4. Additional beta inhibition was usually not necessary. The temporal positions often have a grounding effect and help to calm the over-active control mode somewhat.
Right-hemisphere and frontal training In patients without a tendency to headaches, targeted infralow training at FP2 and FP4 (right frontal/frontopolar sites) followed. In the last five sessions the sequence was further differentiated:
First bipolar bifrontal derivations (e.g. Fp1–Fp2)
Then C2–Fp2
Finally Fz
The bifrontal derivation (e.g. Fp1–Fp2) makes it possible to address inter-hemispheric balance in the frontal area while at the same time damping the often over-active error monitoring and control loops without immediately targeting the anterior cingulate cortex (ACC) directly. Many OCD patients experience too early or too intensive training at Fz as unpleasant or even tension-increasing. The bipolar bifrontal phase therefore serves as a gentle bridge: it prepares the system for work on the medial frontal lobe and reduces the likelihood that the typical “It has to be right now” mode will immediately reappear.
The C2–Fp2 derivation was experienced by the patients as particularly pleasant. It appears to represent a good intermediate step: it connects a central, more sensorimotor position (C2) with the right frontopolar cortex and feels less demanding than direct training at Fz. Many described the feeling as “clear but not effortful” or “somehow sorting”.
C2–Fp2 further prepares the system and facilitates the subsequent transition to Fz. Too early or too intensive training at Fz is experienced by many OCD patients as unpleasant or tension-increasing – this graded sequence noticeably reduces that risk.
Inhibition was adjusted as needed according to beta signs (muscle tension, inner restlessness, control attempts). Each session ended again with 5 minutes of T3/T4.
Alpha-theta extension After the stabilisation phase, alpha-theta was added – still with the familiar T3/T4 closing segment.
Observed Changes
After approximately three months many patients showed noticeable improvements:
better sleep
less procrastination
reduction of obsessive thoughts
more enjoyment of life
fewer depressive states
Deep, conscious breathing, when patients wanted to control the signal, proved a helpful bridge: it first gives the need for control an allowed channel and at the same time opens the way into genuine self-regulation.
Conclusion
Neurofeedback in OCD requires patience and a good feel for the patients’ need for control. Demanding “letting go” too early often produces resistance. Building stability and safety first (especially via temporal and right-hemisphere infralow work) and carefully shaping the transition to medial-frontal positions creates the precondition for later, more demanding protocols such as alpha-theta to take effect.
The link between perfectionism, procrastination and compulsion – as elaborated among others by Joachim Stoeber – makes clear why this careful, stepwise approach is so important.
Dr. Zeliha Yanıkömeroğlu, MD
References
Perfectionism, procrastination and OCD
Stoeber, J. & Joormann, J. (2001). Worry, procrastination, and perfectionism: Differentiating amount of worry, pathological worry, anxiety, and depression. Cognitive Therapy and Research, 25(1), 49–60.
Stoeber, J. (Ed.). (2018). The Psychology of Perfectionism: Theory, Research, Applications. Routledge.
Sirois, F. M., Molnar, D. S. & Hirsch, J. K. (2017). A meta-analytic and conceptual update on the associations between procrastination and multidimensional perfectionism. European Journal of Personality, 31(2), 137–159.
Limburg, K., Watson, H. J., Hagger, M. S. & Egan, S. J. (2017). The relationship between perfectionism and psychopathology: A meta-analysis. Journal of Clinical Psychology, 73(10), 1301–1326.
Scales
Frost, R. O., Marten, P., Lahart, C. & Rosenblate, R. (1990). The dimensions of perfectionism. Cognitive Therapy and Research, 14(5), 449–468.
Slaney, R. B., Rice, K. G., Mobley, M., Trippi, J. & Ashby, J. S. (2001). The Revised Almost Perfect Scale. Measurement and Evaluation in Counseling and Development, 34(3), 130–145.
Lay, C. H. (1986). At last, my research article on procrastination. Journal of Research in Personality, 20(4), 474–495.
Steel, P. (2010). Arousal, avoidant and decisional procrastinators: Do they exist? Personality and Individual Differences, 48(8), 926–934.
Neurophysiology / Neuropsychology
Ahmari, S. E. & Rauch, S. L. (2022). The prefrontal cortex and OCD. Neuropsychopharmacology, 47, 211–224.
Riesel, A. (2019). The erring brain: Error-related negativity as an endophenotype for obsessive-compulsive disorder – A review and recommendations. Psychophysiology, 56(4), e13302.
Stahl, J., Acharki, M., Kresimon, M., Völler, F. & Gibbons, H. (2015). Perfect error processing: Perfectionism-related variations in action monitoring and error processing. International Journal of Psychophysiology, 97(2), 163–172.
Chen, Z., Liu, P., Zhang, C. & Feng, T. (2020). Brain morphological dynamics of procrastination: The crucial role of the self-control, emotional, and episodic prospection network. Cerebral Cortex, 30(5), 2834–2853.
Zhang, W., Wang, X. & Feng, T. (2016). Identifying the neural substrates of procrastination: A resting-state fMRI study. Scientific Reports, 6, 33203.
Norman, L. J. et al. (2019). Error processing and inhibitory control in obsessive-compulsive disorder: A meta-analysis using statistical parametric maps. Biological Psychiatry, 85(9), 713–725.
About the Author
Dr. Zeliha Yanıkömeroğlu, MD is a medical doctor and neurosurgeon specializing in clinical neurofeedback and neuroregulation therapies. Her work bridges advanced neurophysiology, infralow frequency (ILF) training protocols, and continuous performance testing. She consults on complex clinical presentations including OCD, anxiety, and attentional dysregulation.
Clinical Note on Tracking Outcomes: While specific continuous performance measures (such as the QIKtest) evaluate visual attention and impulse control, longitudinal progress in conditions like OCD and addiction is best monitored through consistent symptom reporting. Clinicians utilizing the EEG Expert platform can track severity shifts, medication changes, and session-by-session self-reports via the integrated Symptom Tracking system.
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