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Individual differences |
Methods | Statistics | Clinical | Educational | Industrial | Professional items | World psychology |
A capnometer or capnograph uses an infrared detector to measure end-tidal CO2 (the partial pressure of carbon dioxide in expired air at the end of expiration) exhaled through the nostril into a latex tube. The average value of end-tidal CO2 for a resting adult is 5% (Template:Convert/torrTemplate:Convert/test/Aon). A capnometer is a sensitive index of the quality of patient breathing. Shallow, rapid, and effortful breathing lowers CO2, while deep, slow, effortless breathing increases it.
Biofeedback therapists use capnometric biofeedback to supplement respiratory strain gauge biofeedback with patients diagnosed with anxiety disorders, asthma, chronic pulmonary obstructive disorder (COPD), essential hypertension, panic attacks, and stress.
An electromyograph (EMG) uses surface electrodes to detect muscle action potentials from underlying skeletal muscles that initiate muscle contraction. Clinicians record the surface electromyogram (SEMG) using one or more active electrodes that are placed over a target muscle and a reference electrode that is placed within six inches of either active. The SEMG is measured in microvolts (millionths of a volt).
Biofeedback therapists use EMG biofeedback when treating anxiety and worry, chronic pain, computer-related disorder, essential hypertension, headache (migraine, mixed headache, and tension-type headache), low back pain, physical rehabilitation (cerebral palsy, incomplete spinal cord lesions, and stroke), temporomandibular joint disorder (TMD), torticollis, and fecal incontinence, urinary incontinence, and pelvic pain.
A feedback thermometer detects skin temperature with a thermistor (a temperature-sensitive resistor) that is usually attached to a finger or toe and measured in degrees Celsius or Fahrenheit. Skin temperature mainly reflects arteriole diameter. Hand-warming and hand-cooling are produced by separate mechanisms, and their regulation involves different skills. Hand-warming involves arteriole vasodilation produced by a beta-2 adrenegeric hormonal mechanism. Hand-cooling involves arteriole vasoconstriction produced by the increased firing of sympathetic C-fibers.
An electrodermograph (EDG) measures skin electrical activity directly (skin conductance and skin potential) and indirectly (skin resistance) using electrodes placed over the digits or hand and wrist. Orienting responses to unexpected stimuli, arousal and worry, and cognitive activity can increase eccrine sweat gland activity, increasing the conductivity of the skin for electrical current.
In skin conductance, an electrodermograph imposes an imperceptible current across the skin and measures how easily it travels through the skin. When anxiety raises the level of sweat in a sweat duct, conductance increases. Skin conductance is measured in microsiemens (millionths of a siemens). In skin potential, a therapist places an active electrode over an active site (e.g., the palmar surface of the hand) and a reference electrode over a relatively inactive site (e.g., forearm). Skin potential is the voltage that develops between eccrine sweat glands and internal tissues and is measured in millivolts (thousandths of a volt). In skin resistance, also called galvanic skin response (GSR), an electrodermograph imposes a current across the skin and measures the amount of opposition it encounters. Skin resistance is measured in kΩ (thousands of ohms).
Biofeedback therapists use electrodermal biofeedback when treating anxiety disorders, hyperhidrosis (excessive sweating), and stress. Electrodermal biofeedback is used as an adjunct to psychotherapy to increase client awareness of their emotions. In addition, electrodermal measures have long served as one of the central tools in polygraphy (lie detection) because they reflect changes in anxiety or emotional activation.
An electroencephalograph (EEG) measures the electrical activation of the brain from scalp sites located over the human cortex. The EEG shows the amplitude of electrical activity at each cortical site, the amplitude and relative power of various wave forms at each site, and the degree to which each cortical site fires in conjunction with other cortical sites (coherence and symmetry).
The EEG uses precious metal electrodes to detect a voltage between at least two electrodes located on the scalp. The EEG records both excitatory postsynaptic potentials (EPSPs) and inhibitory postsynaptic potentials (IPSPs) that largely occur in dendrites in pyramidal cells located in macrocolumns, several millimeters in diameter, in the upper cortical layers. Neurofeedback monitors both slow and fast cortical potentials.
Slow cortical potentials are gradual changes in the membrane potentials of cortical dendrites that last from 300 ms to several seconds. These potentials include the contingent negative variation (CNV), readiness potential, movement-related potentials (MRPs), and P300 and N400 potentials.
Fast cortical potentials range from 0.5 Hz to 100 Hz. The main frequency ranges include delta, theta, alpha, the sensorimotor rhythm, low beta, high beta, and gamma. The specific cutting points defining the frequency ranges vary considerably among professionals. Fast cortical potentials can be described by their predominant frequencies, but also by whether they are synchronous or asynchronous wave forms. Synchronous wave forms occur at regular periodic intervals, whereas asynchronous wave forms are irregular.
The synchronous delta rhythm ranges from 0.5 to 3.5 Hz. Delta is the dominant frequency from ages 1 to 2, and is associated in adults with deep sleep and brain pathology like trauma and tumors, and learning disability.
The synchronous theta rhythm ranges from 4 to 7 Hz. Theta is the dominant frequency in healthy young children and is associated with drowsiness or starting to sleep, REM sleep, hypnagogic imagery (intense imagery experienced before the onset of sleep), hypnosis, attention, and processing of cognitive and perceptual information.
The synchronous alpha rhythm ranges from 8 to 13 Hz and is defined by its waveform and not by its frequency. Alpha activity can be observed in about 75% of awake, relaxed individuals and is replaced by low-amplitude desynchronized beta activity during movement, complex problem-solving, and visual focusing. This phenomenon is called alpha blocking.
The synchronous sensorimotor rhythm (SMR) ranges from 12 to 15 Hz and is located over the sensorimotor cortex (central sulcus). The sensorimotor rhythm is associated with the inhibition of movement and reduced muscle tone.
The beta rhythm consists of asynchronous waves and can be divided into low beta and high beta ranges (13–21 Hz and 20–32 Hz). Low beta is associated with activation and focused thinking. High beta is associated with anxiety, hypervigilance, panic, peak performance, and worry.
Neurotherapists use EEG biofeedback when treating addiction, attention deficit hyperactivity disorder (ADHD), learning disability, anxiety disorders (including worry, obsessive-compulsive disorder and posttraumatic stress disorder), depression, migraine, and generalized seizures.
A photoplethysmograph (PPG) measures the relative blood flow through a digit using a photoplethysmographic (PPG) sensor attached by a Velcro band to the fingers or to the temple to monitor the temporal artery. An infrared light source is transmitted through or reflected off the tissue, detected by a phototransistor, and quantified in arbitrary units. Less light is absorbed when blood flow is greater, increasing the intensity of light reaching the sensor.
A photoplethysmograph can measure blood volume pulse (BVP), which is the phasic change in blood volume with each heartbeat, heart rate, and heart rate variability (HRV), which consists of beat-to-beat differences in intervals between successive heartbeats.
A photoplethysmograph can provide useful feedback when temperature feedback shows minimal change. This is because the PPG sensor is more sensitive than a thermistor to minute blood flow changes. Biofeedback therapists can use a photoplethysmograph to supplement temperature biofeedback when treating chronic pain, edema, headache (migraine and tension-type headache), essential hypertension, Raynaud’s disease, anxiety, and stress.
The electrocardiograph (ECG) uses electrodes placed on the torso, wrists, or legs, to measure the electrical activity of the heart and measures the interbeat interval (distances between successive R-wave peaks in the QRS complex). The interbeat interval, divided into 60 seconds, determines the heart rate at that moment. The statistical variability of that interbeat interval is what we call heart rate variability. The ECG method is more accurate than the PPG method in measuring heart rate variability.
A pneumograph or respiratory strain gauge uses a flexible sensor band that is placed around the chest, abdomen, or both. The strain gauge method can provide feedback about the relative expansion/contraction of the chest and abdomen, and can measure respiration rate (the number of breaths per minute). Clinicians can use a pneumograph to detect and correct dysfunctional breathing patterns and behaviors. Dysfunctional breathing patterns include clavicular breathing (breathing that primarily relies on the external intercostals and the accessory muscles of respiration to inflate the lungs), reverse breathing (breathing where the abdomen expands during exhalation and contracts during inhalation), and thoracic breathing (shallow breathing that primarily relies on the external intercostals to inflate the lungs). Dysfunctional breathing behaviors include apnea (suspension of breathing), gasping, sighing, and wheezing.
Biofeedback therapists use pneumograph biofeedback with patients diagnosed with anxiety disorders, asthma, chronic pulmonary obstructive disorder (COPD), essential hypertension, panic attacks, and stress.
Rheoencephalography (REG), or brain blood flow biofeedback, is a biofeedback technique of a conscious control of blood flow. An electronic device called a rheoencephalograph [from Greek rheos stream, anything flowing, from rhein to flow] is utilized in brain blood flow biofeedback. Electrodes are attached to the skin at certain points on the head and permit the device to measure continuously the electrical conductivity of the tissues of structures located between the electrodes. The brain blood flow technique is based on non-invasive method of measuring bio-impedance. Changes in bio-impedance are generated by blood volume and blood flow and registered by a rheographic device. The pulsative bio-impedance changes directly reflect the total blood flow of the deep structures of brain due to high frequency impedance measurements.
Hemoencephalography or HEG biofeedback is a functional infrared imaging technique. As its name describes, it measures the differences in the color of light reflected back through the scalp based on the relative amount of oxygenated and unoxygenated blood in the brain. Research continues to determine its reliability, validity, and clinical applicability. HEG is used to treat ADHD and migraine, and for research.
- ↑ 1.0 1.1 Peper, E., Tylova, H., Gibney, K. H., Harvey, R., & Combatalade, D. (2008). Biofeedback mastery: An experiential teaching and self-training manual. Wheat Ridge, CO: Association for Applied Psychophysiology and Biofeedback.
- ↑ 2.0 2.1 2.2 2.3 2.4 2.5 2.6 Yucha, C; Montgomery D (2008). Evidence-based practice in biofeedback and neurofeedback (PDF), Wheat Ridge, CO: AAPB.
- ↑ 3.0 3.1 Fried, R. (1987). The hyperventilation syndrome: Research and clinical treatment. Baltimore: Johns Hopkins University Press.
- ↑ Fried, R. (1993). The psychology and physiology of breathing. New York: Plenum Press.
- ↑ Tassinary, L. G., Cacioppo, J. T., & Vanman, E. J. (2007). The skeletomotor system: Surface electromyography. In J. T. Cacioppo, L. G. Tassinary, & G. G. Berntson, (Eds.). Handbook of psychophysiology (3rd ed.). New York: Cambridge University Press.
- ↑ Florimond, V. (2009). Basics of surface electromyography applied to physical rehabilitation and biomechanics. Montreal: Thought Technology Ltd.
- ↑ Peper, E; Gibney KH (2006). Muscle biofeedback at the computer: A manual to prevent repetitive strain injury (RSI) by taking the guesswork out of assessment, monitoring, and training (PDF), Amersfoort, The Netherlands: BFE.
- ↑ 8.0 8.1 Andreassi, J. L. (2007). Psychophysiology: Human behavior and physiological response (5th ed.). Hillsdale, NJ: Lawrence Erlbaum and Associates, Inc.
- ↑ Cohen, R. A., & Coffman, J. D. (1981). Beta-adrenergic vasodilator mechanism in the finger, Circulation Research, 49, 1196-1201]
- ↑ Freedman R. R., Sabharwal S. C., Ianni P., Desai N., Wenig P., Mayes M. (1988). Nonneural beta-adrenergic vasodilating mechanism in temperature biofeedback. Psychosomatic Medicine 50 (4): 394–401.
- ↑ Dawson, M. E., Schell, A. M., & Filion, D. L. (2007). The electrodermal system. In J. T. Cacioppo, L. G. Tassinary, & G. G. Berntson (Eds.). Handbook of psychophysiology (3rd) ed.). New York: Cambridge University Press.
- ↑ Moss, D. (2003). The anxiety disorders. In D. Moss, D., A. McGrady, T. Davies, & I. Wickramasekera (Eds.), Handbook of mind-body medicine in primary care (pp. 359-375). Thousand Oaks, CA: Sage.
- ↑ Toomim M., Toomim H. (1975). Spring). GSR biofeedback in psychotherapy: Some clinical observations. Psychotherapy: Theory, Research, and Practice 12 (1): 33–38.
- ↑ Moss D (2005). Psychophysiological psychotherapy: The use of biofeedback, biological monitoring, and stress management principles in psychotherapy. Psychophysiology Today: the Magazine for Mind-Body Medicine 2 (1): 14–18.
- ↑ Pennebaker J. W., Chew C. H. (1985). Behavioral inhibition and electrodermal activity during deception. Journal of Personality and Social Psychology 49 (5): 1427–1433.
- ↑ Kropotov, J. D. (2009). Quantitative EEG, event-related potentials and neurotherapy. San Diego, CA: Academic Press.
- ↑ 17.0 17.1 17.2 Thompson, M., & Thompson, L. (2003). The biofeedback book: An introduction to basic concepts in applied psychophysiology. Wheat Ridge, CO: Association for Applied Psychophysiology and Biofeedback.
- ↑ 18.0 18.1 Stern, R. M., Ray, W. J., & Quigley, K. S. (2001). Psychophysiological recording (2nd ed.). New York: Oxford University Press.
- ↑ LaVaque, T. J. (2003). Neurofeedback, Neurotherapy, and quantitative EEG. In D. Moss, A. McGrady, T. Davies, & I. Wickramasekera (Eds), Handbook of mind-body medicine for primary care (pp. 123-136). Thousand Oaks, CA: Sage.
- ↑ Steriade, M. (2005). Cellular substrates of brain rhythms. In E. Niedermeyer and F. Lopes da Silva (Eds.). Electroencephalography: Basic principles, clinical applications, and related fields (5th ed.). Philadelphia: Lippincott Williams & Wilkins.
- ↑ 21.0 21.1 Shaffer, F., & Moss, D. (2006). Biofeedback. In C. S. Yuan, E. J. Bieber, & B.A. Bauer (Ed.), Textbook of complementary and alternative medicine (2nd ed.) (pp. 291-312). Abingdon, Oxfordshire, UK: Informa Healthcare.
- ↑ T. H. Budzynski, H. K. Budzynski, J. R. Evans, & A. Abarbanel (Eds.) (2009). Introduction to quantitative EEG and neurofeedback (2nd ed.). Burlington, MA: Academic Press.
- ↑ 23.0 23.1 Combatalade, D. (2009). Basics of heart rate variability applied to psychophysiology. Montreal, Canada: Thought Technology Ltd.
- ↑ 24.0 24.1 Lehrer, P. M. (2007). Biofeedback training to increase heart rate variability. In P. M. Lehrer, R. M. Woolfolk, & W. E. Sime (Eds.). Principles and practice of stress management (3rd ed.). New York: The Guilford Press.
- ↑ Peper E., Harvey R., Lin I., Tylova H., Moss D. (2007). Is there more to blood volume pulse than heart rate variability, respiratory sinus arrhythmia, and cardio-respiratory synchrony?. Biofeedback 35 (2): 54–61.
- ↑ Berntson, G. G., Quigley, K. S., & Lozano, D. (2007). Cardiovascular psychophysiology. In J. T. Cacioppo, L. G. Tassinary, & G. G. Berntson, (Eds.). Handbook of psychophysiology (3rd ed.). New York: Cambridge University Press.
- ↑ Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology (1996). Heart rate variability: Standards of measurement, physiological interpretation, and clinical use. Circulation, 93, 1043-1065.
- ↑ Lehrer P. M., Vaschillo E., Vaschillo B., Lu S. E., Scardella A., Siddique M. et al. (2004). Biofeedback as a treatment for asthma. Chest 126 (2): 352–361.
- ↑ Giardino N. D., Chan L., Borson S. (2004). Combined heart rate variability and pulse oximetry biofeedback for chronic obstructive pulmonary disease: Preliminary findings. Applied Psychophysiology and Biofeedback 29 (2): 121–133.
- ↑ Karavidas M. K., Lehrer P. M., Vaschillo E. G., Vaschillo B., Marin H., Buyske S. et al. (2007). Preliminary results of an open-label study of heart rate variability biofeedback for the treatment of major depression. Applied Psychophysiology and Biofeedback 32 (1): 19–30.
- ↑ Hassett A. L., Radvanski D. C., Vaschillo E. G., Vaschillo B., Sigal L. H., Karavidas M. K. et al. (2007). A pilot study of heart rate variability (HRV) biofeedback in patients with fibromyalgia. Applied Psychophysiology and Biofeedback 32 (1): 1–10.
- ↑ Cowan M. J., Pike K. C., Budzynski H. K. (2001). Psychosocial nursing therapy following sudden cardiac arrest: Impact on two-year survival. Nursing Research 50 (2): 68–76.
- ↑ Humphreys P., Gevirtz R. (2000). Treatment of recurrent abdominal pain: Components analysis of four treatment protocols. Journal of Pediatric Gastroenterology and Nutrition 31 (1): 47–51.
- ↑ Lehrer P. M., Vaschillo E., Vaschillo B. (2000). Resonant frequency biofeedback training to increase cardiac variability: Rationale and manual for training. Applied Psychophysiology and Biofeedback 25 (3): 177–191.
- ↑ Tokarev V.E. "A Rheoencephalogram (REG) Variability System Based on ISKRA-226 Personal Computer", Institute for Complex Problem of Hygiene Healthcare Conference, Novokuznetsk, Russia, 1989, p.115-116.
- ↑ Tokarev V.E. "Regulatory Mechanisms of Physiological Systems During REG Biofeedback", 25th Annual Meeting of Association of Applied Psychophysiology and Biofeedback, Atlanta, USA, 1994
- ↑ Toomim, H., & Carmen, J. (2009). Homoencephalography: Photon-based blood flow neurofeedback. In T. H. Budzynski, H. K. Budzynski, J. R. Evans, & A. Abarbanel (Eds.) (2009). Introduction to quantitative EEG and neurofeedback (2nd ed.). Burlington, MA: Academic Press.
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