Alpha neurofeedback represents one of the most rigorously investigated paradigms within clinical psychophysiology and applied neuroscience. By establishing an operant conditioning feedback loop derived from electroencephalographic recordings, this modality enables individuals to consciously modulate their endogenous neural oscillations within the alpha bandwidth. As both an investigative instrument for understanding cortical dynamics and an empirical intervention for affective and cognitive dysregulation, alpha training bridges fundamental neurobiology with non-invasive clinical neuromodulation.
Alpha Neurofeedback
1. Concise Definition
Alpha neurofeedback is a specialized form of electroencephalographic (electroencephalography) biofeedback in which an individual is trained to self-regulate the amplitude, frequency, power, or coherence of oscillatory brain electrical activity occurring predominantly within the 8 to 12 Hertz (Hz) frequency band. Through real-time sensory representation—typically auditory tones, visual displays, or tactile stimuli—the subject receives continuous reinforcement reflecting their instantaneous alpha dynamics, facilitating deliberate endogenous neuromodulation.
Conceptually, this protocol operates via a closed-loop neurofeedback system that capitalizes on implicit and explicit learning mechanisms. When rhythmic synchronous discharges of thalamocortical networks meet pre-established physiological thresholds, a contingent reward is delivered. Over repeated sessions, this closed-loop operant paradigm facilitates lasting functional changes in brain activity, supporting cognitive, emotional, and behavioral homeostasis without the introduction of exogenous electrical currents or pharmacological compounds.
2. Etymology and Linguistic Origin
The term derives from the historical convergence of electrophysiology, cybernetics, and behavioral psychology. The word “alpha” originates from the first letter of the Greek alphabet (α, alpha), designated by German psychiatrist Hans Berger in 1929 to classify the primary, dominant rhythmic oscillation observed in human scalp electrical recordings during quiescent wakefulness. Berger distinguished these prominent 8–12 Hz oscillations from the faster, lower-amplitude “beta” rhythms that emerged upon sensory stimulation or focused mental engagement.
The compound construct “neurofeedback” fuses the Ancient Greek root neuron (νεῦρον, meaning nerve, sinew, or cord) with the mid-twentieth-century cybernetic concept of “feedback,” popularized by mathematician Norbert Wiener in his foundational work on cybernetics. The feedback loop denotes a circular causal chain wherein systemic outputs are continuously routed back into the system as informational inputs to guide self-correction. When applied to neurophysiology in the late 1960s, the combined terminology formalized an empirical method for returning quantified neural data back to the central nervous system that generated it.
3. Pronunciation and Grammatical Form
Pronunciation: Phonetically transcribed as /ˈæl.fə ˌnjʊə.roʊˈfiːd.bæk/ in British English and /ˈæl.fə ˌnʊ.roʊˈfid.bæk/ in General American English.
Grammatical Classification: Compound noun phrase, uncountable. It functions primarily as the subject or object of clinical, experimental, and therapeutic discourse (e.g., “Alpha neurofeedback modulates cortical excitability”). Derived attributive and adjectival constructions frequently appear in literature, such as “alpha neurofeedback training” (ANFT) or “alpha-band neurofeedback protocol.”
4. Detailed Conceptual Explanation
Alpha neurofeedback is fundamentally rooted in the biophysical nature of oscillatory neural dynamics. The human alpha wave comprises rhythmic, sinusoidal electrical potentials oscillating between 8 and 12 Hz (occasionally parsed between 7.5 and 12.5 Hz), generated through reciprocal interactions between neocortical pyramidal neurons and thalamic pacemaker assemblies, particularly within the thalamic reticular nucleus (TRN). During periods of relaxed, eyes-closed wakefulness, widespread thalamocortical circuits exhibit macroscopic synchrony, which manifests as elevated alpha amplitudes predominantly across parietal, occipital, and posterior-temporal scalp regions.
Historically, elevated alpha oscillations were interpreted strictly through the lens of the “cortical idling hypothesis,” which postulated that alpha power reflects an inactive, resting cortical baseline that abruptly desynchronizes upon sensory stimulation or cognitive exertion. However, contemporary cognitive neuroscience has revised this framework toward the “functional inhibition hypothesis,” advanced by researchers such as Wolfgang Klimesch, Ole Jensen, and Ali Mazaheri. Under this model, alpha synchronization represents an active, top-down inhibitory gating mechanism. By suppressing task-irrelevant or competing neural assemblies (manifesting as elevated local alpha power), the central nervous system preserves processing capacity for task-relevant cortical areas, which simultaneously exhibit event-related alpha desynchronization (ERD).
Alpha neurofeedback leverages this inhibitory gating mechanism to teach voluntary state control. In a typical training paradigm, silver/silver-chloride electrodes are affixed to the scalp over specified spatial locations (such as Pz, Oz, O1, O2, or central-parietal montages) according to the International 10–20 System. The analog microvolt-level potentials are amplified, digitized, filtered through bandpass algorithms, and analyzed via fast Fourier transform (FFT) or autoregressive models to extract real-time power spectral density. If the calculated alpha metric exceeds a dynamically adjusted threshold, the computer interface produces a sensory reward (e.g., an ascending auditory harmonic, the expansion of a visual graphic, or progression in a simulated video environment).
Crucially, alpha neurofeedback training can pursue divergent directional targets depending on the clinical or performance objective. Alpha upregulation protocols train participants to deliberately increase alpha amplitude or relative power, fostering states characterized by reduced vigilance-related stress, physiological de-arousal, and internalized attentional focus. Conversely, alpha downregulation protocols reward the suppression of alpha rhythms, thereby driving regional cortical activation, sustained vigilance, and externalized processing. The paradigm operates across a delicate boundary between conscious intentionality and passive volition: participants consistently report that striving forcefully to generate alpha triggers paradoxical desynchronization, whereas adopting an open, non-judgmental awareness facilitates optimal oscillatory synchronization.
5. Historical Development
The foundational lineage of alpha neurofeedback began with Hans Berger’s discovery of the human electroencephalogram in Jena, Germany, published in 1929. Berger observed that quiet, resting wakefulness yielded dominant 10-Hz waves that were instantly suppressed (“blocked”) when the subject opened their eyes or engaged in mental arithmetic. This phenomenon became known as the “Berger effect” or alpha arrest.
The transformation of alpha activity from a passive diagnostic correlate to an operantly conditionable output occurred in the late 1950s and 1960s through the landmark investigations of Dr. Joe Kamiya at the University of Chicago and later at the Langley Porter Neuropsychiatric Institute in San Francisco. In 1962, Kamiya designed a discriminative conditioning experiment demonstrating that human subjects could learn to introspectively detect whether their brain was currently producing alpha rhythms. He subsequently paired successful alpha bursts with a subtle auditory chime, showing that participants could voluntarily command the oscillation on and off upon verbal instruction. Kamiya’s 1968 publication in Psychology Today catalyzed widespread scientific and cultural fascination with the conscious control of internal neuroelectric states.
Concurrently during the late 1960s and 1970s, Dr. M. Barry Sterman at the University of California, Los Angeles (UCLA), confirmed the biological viability of neuroelectric operant conditioning in feline models, identifying the sensorimotor rhythm (SMR, 12–15 Hz) and establishing that neurofeedback exerted profound anti-epileptic neuroprotective effects. As biofeedback gained institutional legitimacy, researchers began systematically investigating the psychophysiological correlates of alpha training for clinical syndromes characterized by autonomic hyperactivity.
In the late 1980s and early 1990s, clinical psychologists Eugene Peniston and Paul Kulkosky expanded alpha training by formulating the “Peniston Protocol.” Combining thermal biofeedback, autogenic relaxation, and sequential alpha-to-theta (alpha/theta) neurofeedback, this approach sought to induce hypnagogic, integrative states in patients suffering from chronic alcohol dependence and combat-related post-traumatic stress disorder (PTSD). Over the ensuing decades, the advent of multichannel digital EEG, quantitative electroencephalography (QEEG) normative databases, and functional neuroimaging co-registration shifted alpha neurofeedback from empirical bio-behavioral relaxation into targeted, network-level circuit neuromodulation.
6. Theoretical Foundations
The operational mechanisms of alpha neurofeedback are grounded in four convergent theoretical paradigms: cybernetic feedback theory, operant conditioning principles, neuroplastic learning mechanisms, and the functional inhibition framework of cortical oscillations.
First, from a cybernetic perspective, the central nervous system lacks direct conscious sensory receptors for its own internal electrophysiological state. Because human beings cannot consciously perceive microvolt fluctuations across neocortical surfaces, intrinsic self-correction of dysregulated rhythms is constrained. Neurofeedback externalizes this internal biological signal into an accessible sensory medium, closing a computational feedback loop that provides the central nervous system with actionable information regarding its momentary state trajectory.
Second, the methodology rests squarely upon operant conditioning, originally conceptualized by B.F. Skinner. By providing contingent positive reinforcement (auditory pleasantries, visual success indicators) whenever the target neural pattern appears, the neurofeedback apparatus reinforces the underlying firing patterns. Through continuous shaping, successive approximations of the desired neurodynamic state are reinforced until the brain reorganizes its intrinsic oscillatory probabilities.
Third, long-term stabilization of these altered oscillatory regimes relies on Hebbian plasticity and long-term potentiation (LTP). As demonstrated in clinical neurophysiology, repeatedly engaging synaptic pathways across recurrent thalamocortical networks induces structural and functional adaptations. Sustained training strengthens synaptic transmission among synchronization-promoting interneurons, embedding newly learned regulatory thresholds into persistent central nervous system architecture via neuroplasticity.
Fourth, the functional inhibition model clarifies how alpha neurofeedback impacts cognitive and affective functioning. Modulating alpha rhythmicity alters the signal-to-noise ratio within specific sensory and cognitive processors. Upregulating alpha over posterior parietal networks dampens the transmission of distracting sensory input along sensory pathways, whereas targeted unilateral downregulation releases specific functional networks from inhibitory suppression, permitting heightened computational processing.
7. Key Components, Types, and Dimensions
Alpha neurofeedback encompasses diverse methodological typologies, topographical targets, and signal characteristics, which can be delineated as follows:
- Sub-Band Dimensions:
- Lower Alpha (approx. 8–10 Hz): Principally implicated in generalized somatic relaxation, non-specific attentional demand, diffuse alertness, and tonic autonomic balance.
- Upper Alpha (approx. 10–12 Hz): Tightly linked to semantic memory retrieval, task-specific cognitive performance, focused stimulus selection, and intellectual capability.
- Individual Alpha Frequency (IAF): A personalized anchor calculated as the peak power value within the extended 7–13 Hz range, compensating for inter-individual developmental, age-related, and anatomical variations.
- Topographical and Spatial Configurations:
- Occipital/Parietal Protocols (e.g., O1, O2, Pz): Designed to cultivate deep bodily de-arousal, alleviate somatic anxiety symptoms, and normalize posterior alpha rhythms.
- Alpha Asymmetry Protocols (e.g., F3–F4 balance): Targeted neuromodulation comparing left frontal to right frontal alpha power. Based on Richard Davidson’s approach-withdrawal model of affective balance, relatively lower alpha (greater activation) over left prefrontal regions associates with positive affect and approach motivation, whereas right prefrontal bias correlates with withdrawal and depressive affect.
- Central/Sensorimotor Protocols (e.g., C3, Cz, C4): Primarily geared toward regulating motor inhibition, tactile processing, and somatic calmness.
- Protocol Architectures:
- Amplitude/Power Conditioning: Reinforces absolute or relative microvolt power within the chosen alpha sub-band.
- Alpha/Theta (A/T) Training: A sequential progression wherein a patient first elevates alpha to enter deep physical relaxation, and then gradually allows theta power (4–8 Hz) to surpass alpha amplitude, inducing a hypnagogic state useful for processing unresolved psychological trauma.
- Alpha Coherence and Phase Dynamics: Direct modulation of phase synchrony or cross-electrode coherence between distinct anatomical locations, targeting functional connectivity anomalies.
8. Examples and Illustrative Cases
To contextualize these principles, consider three distinct illustrative scenarios reflecting standard clinical and performance environments:
Case 1: Generalized Anxiety and Autonomic Hyperarousal
A 34-year-old individual presenting with chronic generalized anxiety disorder exhibits baseline QEEG profiles characterized by widespread alpha suppression and elevated high-beta (20–30 Hz) hyper-coherence across parietal and frontal leads, reflecting persistent cortical hyperarousal. An alpha-upregulation protocol is applied using a Pz electrode placement with linked-ear references. The neurofeedback program rewards eyes-closed alpha power exceeding a 12-microvolt threshold with a soft, resonant cello sound. Over twenty-five 45-minute sessions, the patient learns internal somatic and cognitive maneuvers—chiefly characterized by visceral diaphragmatic easing and non-directed cognitive monitoring—that raise parietal alpha power by 38%. Concurrently, standardized clinical assessments show marked drops in autonomic symptoms (e.g., muscle tension, tachycardia) and subjective anxiety ratings.
Case 2: Elite Athletic Performance and Quiet Eye
An elite competitive archer undergoes upper-alpha training to optimize pre-performance motor preparation. The protocol focuses on elevating 10–12 Hz power over the left temporal-parietal cortex (T3/P3) during the four seconds preceding arrow release. By upregulating localized upper alpha immediately prior to execution, the archer suppresses internal linguistic commentary and task-irrelevant analytical thoughts, permitting automated motor routines to operate without cortical interference. Following eight weeks of systematic upper-alpha training, shooting accuracy metrics during high-pressure competition demonstrate statistically significant gains alongside subjective reports of effortless concentration (“flow state”).
Case 3: Trauma Integration via Alpha/Theta Protocol
A military veteran with treatment-resistant PTSD participates in a thirty-session Peniston-style alpha/theta protocol. The client reclines in an acoustically insulated chamber with eyes closed, monitoring two auditory feedback tones: a high-pitched ocean surf tone representing alpha amplitude (8–11 Hz) and a lower flute tone representing theta amplitude (5–8 Hz). Over the course of each session, the patient initially elevates alpha to achieve profound relaxation, subsequently transitioning into sustained theta emergence (“alpha-theta crossover”). This specific twilight state allows the retrieval of deeply conditioned traumatic memories without triggering severe sympathetic fight-or-flight reactions, permitting safe cognitive reframing and emotional desensitization.
9. Measurement and Assessment
The successful delivery and scientific validation of alpha neurofeedback require precision electrophysiological measurement, baseline psychophysiological tracking, and advanced signal processing. The process begins with a comprehensive Quantitative EEG (QEEG) assessment, which captures 19 to 32 recording channels across resting eyes-closed and eyes-open conditions, often supplemented by cognitive task batteries.
Raw electroencephalographic signals are susceptible to contamination by biological and ambient environmental artifacts, including electrooculographic (EOG) blinks and saccades, electromyographic (EMG) muscle activity from the frontalis and temporalis musculature, cardiac electrical signatures (ECG), and 50/60 Hz power-line interference. Modern clinical neurofeedback platforms implement automated and manual artifact rejection regimes, including blind source separation, Independent Component Analysis (ICA), and infinite/finite impulse response filters, ensuring that rewarded signals reflect true neural activity rather than muscular contraction.
To design a tailored alpha protocol, clinicians assess individual metrics rather than relying exclusively on population means. The primary assessment variable is the Individual Alpha Frequency (IAF), which shifts across the lifespan, declining in late adulthood and changing across pathological conditions like traumatic brain injury or neurodegeneration. IAF calculation prevents the misclassification of theta activity as slowed alpha, a common issue in patients with vascular or neurodegenerative pathologies. Signal magnitude is tracked across several specific metrics:
- Absolute Power: The total microvolt squared (μV²) energy generated within the 8–12 Hz window.
- Relative Power: The percentage contribution of alpha power relative to the entire electroencephalographic spectrum (1–64 Hz).
- Alpha Peak Frequency (APF): The precise frequency point demonstrating highest spectral density within the alpha band.
- Asymmetry Index (AI): The natural log difference between homologous pairs (e.g., ln[F4 Alpha] − ln[F3 Alpha]), quantifying lateralized activation biases.
10. Applications and Practical Significance
Alpha neurofeedback has found widespread utility across diverse fields, extending from psychiatric and neurological clinics to corporate and high-performance athletic arenas.
In psychiatric intervention, alpha upregulation and alpha/theta protocols are primarily utilized in treating stress-related, anxiety, and trauma disorders. Patients with generalized anxiety disorder, panic disorder, and phobic avoidance often display severe reductions in baseline alpha amplitude along with excessive fast-wave activity. Alpha training assists these individuals in re-establishing parasympathetic dominance and restoring central inhibitory control over hyperexcitable limbic structures, particularly the amygdala. In substance use disorders, alpha/theta training targets the psychological cravings and affective instability that trigger relapse by facilitating introspective processing and mitigating psychological withdrawal symptoms.
Within cognitive and performance enhancement domains, upper-alpha neurofeedback is frequently employed to optimize working memory capacity, semantic retrieval speed, and spatial mental rotation abilities. Because upper-alpha synchronization indexes top-down executive filtering, individuals trained to boost this rhythm show improved target detection, reduced distractibility, and elevated cognitive endurance during demanding psychomotor tasks. Similarly, professional musicians, performing artists, and competitive athletes leverage alpha protocols to manage somatic performance anxiety, foster mental clarity, and induce restorative physiological recovery.
11. Research and Empirical Evidence
Over several decades, an extensive body of empirical research has evaluated the efficacy of alpha neurofeedback, marked by ongoing debates regarding its mechanisms and clinical outcomes. Pioneering empirical work by John Gruzelier at Imperial College London established that alpha/theta neurofeedback led to measurable improvements in musical performance, artistic expressiveness, and cognitive flexibility among conservatoire students, distinct from simple relaxation or active control conditions.
Tomas Ros and colleagues have substantially advanced mechanistic understanding by combining alpha neurofeedback with concurrent functional Magnetic Resonance Imaging (fMRI) and transcranial magnetic stimulation (TMS). Their research demonstrated that a single session of voluntary alpha downregulation induced sustained increases in corticospinal excitability and altered connectivity within the Default Mode Network (DMN) and the salience network. These neuroimaging trials provide direct evidence that self-directed alpha modulation can drive functional neuroplasticity within deep subcortical and intrinsic connectivity networks.
In clinical trials, the empirical landscape exhibits mixed findings depending on study designs. While numerous open-label and active-comparator clinical trials report robust improvements in PTSD and anxiety symptom severity, critical methodologists, including Robert Thibault and Amir Raz, argue that many reported outcomes are influenced by non-specific psychosocial factors, such as demand characteristics, therapist rapport, and participant expectations. Conversely, randomized, double-blind, sham-controlled trials evaluating alpha training in chronic pain, fibromyalgia, and cognitive decline demonstrate that participants receiving contingent feedback show superior electrophysiological changes and symptom relief compared to sham-yoked controls. This supports the hypothesis that the intervention operates through specific neurobiological learning rather than exclusively through placebo mechanisms.
12. Cultural and Cross-Cultural Considerations
The cultural trajectory of alpha neurofeedback intersects with global contemplative practices, differing attitudes toward technology-assisted mental health care, and variations in mental health infrastructure.
When alpha biofeedback emerged in North America in the late 1960s, it rapidly aligned with the countercultural movement and the Western adoption of Eastern contemplative philosophies. Early investigators noted strong similarities between the electroencephalographic profiles of trained alpha neurofeedback subjects and the high-amplitude, slow-alpha rhythms documented in experienced Zen practitioners and Vipassana meditators. In many ways, the American and European public viewed alpha neurofeedback as an objective, accelerated path to the meditative states cultivated by monastics in Asia over centuries. In contemporary Asian research centers, particularly in Japan, South Korea, and China, neurofeedback is regularly integrated alongside traditional mind-body paradigms, with studies examining its synergy with acupressure, qigong, and Zen breath regulation.
Conversely, structural access to neurofeedback varies sharply across geographic and socioeconomic boundaries. Because high-grade clinical neurofeedback requires specialized hardware, regular QEEG reviews, and consistent multi-week clinical appointments, it remains predominantly accessible within higher-income nations and well-funded urban private clinics. In lower- and middle-income regions, electrophysiological interventions are often prioritized for acute neurological diagnostics (e.g., epilepsy assessment) rather than elective neuromodulation for mood or performance goals, underscoring systemic differences in therapeutic access.
13. Criticisms, Debates, and Limitations
Despite its long-standing therapeutic presence, alpha neurofeedback remains a subject of critical debate within contemporary psychiatry, behavioral medicine, and cognitive neuroscience. Central criticisms include:
First, prominent experimental psychologists, including Manuel Schabus, highlight the challenge of double-blinding in neurofeedback trials. Designing a completely inert yet indistinguishable sham control remains technically challenging. When sham groups receive non-contingent (pre-recorded or simulated) feedback, subtle differences in reward contingency can cause frustration or break blind fidelity, confounding empirical comparisons. Several critical meta-analyses assert that when sham controls are rigorously implemented, effect sizes for specific psychiatric improvements diminish, suggesting that non-specific therapeutic context drives a meaningful portion of clinical gains.
Second, the “non-responder phenomenon” presents a documented clinical challenge. Literature indicates that between 15% and 30% of human participants fail to demonstrate voluntary control over their electroencephalographic parameters despite repeated training sessions. The biological, neuroanatomical, or psychological determinants of this regulatory failure—ranging from subcallosal white-matter integrity to psychological resistance and attentional lapses—remain partially understood, complicating the predictable delivery of clinical care.
Third, the commercial marketplace has experienced an influx of low-cost, direct-to-consumer (DTC) EEG headbands marketing “alpha state optimization” for stress relief and focus. Serious clinical electrophysiologists frequently critique these devices for utilizing dry-sensor designs with low signal-to-noise ratios, susceptible to motion and electromyographic artifacts. These products often oversimplify nuanced cortical rhythms into monolithic marketing concepts, risking client disillusionment and misrepresenting true clinical neurofeedback methods.
14. Related Terms and Distinctions
To avoid diagnostic and procedural ambiguity, alpha neurofeedback must be clearly distinguished from related neurotechnologies and neurofeedback variations:
- Sensorimotor Rhythm (SMR) Neurofeedback: Trains oscillations within the 12–15 Hz range localized specifically over the sensorimotor cortex (electrodes C3, Cz, C4). Whereas alpha training broadly targets mental relaxation and posterior cortical gating, SMR training focuses on dampening physical motor restlessness, motoric impulsivity, and hyperkinesia, rendering it common for attention-deficit/hyperactivity disorder (ADHD).
- Theta Neurofeedback: Focuses on the 4–8 Hz band. Independent theta upregulation aims at memory access and deep hypnagogic imagery, but if unregulated, excessive daytime theta is associated with cognitive slowing, executive dysfunction, and inattention. Alpha training, by contrast, operates at a higher frequency and targets restful, awake alertness.
- Brain-Computer Interfaces (BCI): While neurofeedback uses closed-loop neural data primarily to alter the user’s internal biological state, BCIs harness neuroelectric features (often P300 potentials, motor imagery mu rhythms, or steady-state visual evoked potentials) to manipulate external prosthetic devices, computers, or wheelchairs.
- Transcranial Direct Current Stimulation (tDCS): A passive neuromodulatory technique that applies weak, exogenous galvanic electrical currents across the skull to shift resting membrane potentials. Alpha neurofeedback introduces zero electrical currents into the brain; it relies solely on the operant reinforcement of endogenous oscillatory activity.
- Brainwave Entrainment (Binaural Beats/Photic Stimulation): A passive sensory approach that attempts to drive neural firing frequencies by presenting external rhythmic acoustic or visual pulses at an alpha frequency. Neurofeedback requires active or implicit internal self-regulation by the user, rather than passive sensory pacing.
15. Summary and Key Takeaways
Alpha neurofeedback remains a foundational, scientifically productive paradigm for voluntary neuromodulation. By transforming 8–12 Hz thalamocortical rhythms into dynamic real-time feedback, it operationalizes the principles of operant conditioning to guide functional brain self-regulation. Far from representing an idle resting state, alpha oscillations function as a top-down inhibitory gating mechanism that coordinates cortical processing and manages cognitive resources.
Clinically, alpha protocols offer non-pharmacological avenues for managing autonomic hyperarousal, post-traumatic stress, and chronic anxiety, while upper-alpha training supports targeted cognitive and motor performance goals. Although concerns regarding non-specific effects, placebo contributions, and consumer-device overreach persist, continued advances in high-density EEG, fMRI co-registration, and rigorous sham-controlled trial designs continue to clarify the neuroplastic mechanisms underlying self-directed brainwave regulation.
References
- Berger, H. (1929). Über das Elektrenkephalogramm des Menschen. Archiv für Psychiatrie und Nervenkrankheiten, 87(1), 527–570. https://doi.org/10.1007/BF01797193
- Gruzelier, J. H. (2014). EEG-neurofeedback for optimising performance. I: A review of cognitive and affective outcomes in healthy participants. Neuroscience & Biobehavioral Reviews, 44, 124–141. https://doi.org/10.1016/j.neubiorev.2013.09.015
- Kamiya, J. (1968). Conscious control of brain waves. Psychology Today, 1(11), 56–60.
- Klimesch, W. (2012). Alpha-band oscillations, attention, and controlled access to stored information. Trends in Cognitive Sciences, 16(12), 606–617. https://doi.org/10.1016/j.tics.2012.10.007
- Ros, T., Théberge, J., Frewen, P. A., Kluetsch, R., Stockwell, M., Brandys, T., & Lanius, R. A. (2013). Mind over chatter: Plastic up-regulation of the fMRI salience network directly after EEG neurofeedback. NeuroImage, 65, 324–335. https://doi.org/10.1016/j.neuroimage.2012.09.046