Quantitative Electroencephalogram (qEEG) as a Natural and Non-Invasive Window into Living Brain and Mind in the Functional Continuum of Healthy and Pathological Conditions
Source abstract
Abstract
Many practicing clinicians are time-poor and are unaware of the accumulated neuroscience developments. Additionally, given the conservative nature of their field, key insights and findings trickle through into the mainstream clinical zeitgeist rather slowly. Over many decades, clinical, systemic, and cognitive neuroscience have produced a large and diverse body of evidence for the potential utility of brain activity (measured by electroencephalogram—EEG) for neurology and psychiatry. Unfortunately, these data are enormous and essential information often gets buried, leaving many researchers stuck with outdated paradigms. Additionally, the lack of a conceptual and unifying theoretical framework, which can bind diverse facts and relate them in a meaningful way, makes the whole situation even more complex. To contribute to the systematization of essential data (from the authors’ point of view), we present an overview of important findings in the fields of electrophysiology and clinical, systemic, and cognitive neuroscience and provide a general theoretical–conceptual framework that is important for any application of EEG signal analysis in neuropsychopathology. In this context, we intentionally omit detailed descriptions of EEG characteristics associated with neuropsychopathology as irrelevant to this theoretical–conceptual review.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: EEG and Brain-Computer Interfaces · Functional Brain Connectivity Studies · Heart Rate Variability and Autonomic Control
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
BM-Science—Brain and Mind Technologies Research Centre, FI-02601 Espoo, Finland
References (100+)
Show source-provided references
1. The relationship of theory and methodology in EEG studies of mental activity10.1016/j.ijpsycho.2006.01.006 ↗
2. Brain profiling and clinical-neuroscience10.1016/j.mehy.2006.03.029 ↗
3. Kropotov, J.D. (2009). Quantitative EEG, Event-Related Potentials and Neurotherapy, Elsevier.
4. Schulte, J., and Endler, P.C. (1998). Pathology, complex systems, and resonance. Fundamental Research in Ultra-High Dilution and Homoeopathy, Kluwer Academic Publishers.10.1007/978-94-011-5878-7 ↗
5. Basar, E. (2011). Brain-Body-Mind in the Nebulous Cartesian System: A Holistic Approach by Oscillations, Springer.10.1007/978-1-4419-6136-5 ↗
6. Signal processing techniques applied to human sleep EEG signals—A review10.1016/j.bspc.2013.12.003 ↗
7. Neural mechanisms underlying brain waves: From neural membranes to networks10.1016/0013-4694(91)90044-5 ↗
8. Nunez, P.L. (1995). Neocortical Dynamics and Human EEG Rhythms, Oxford University Press.
9. Ullsperger, M., and Debener, S.S. (2010). The sources and temporal dynamics of scalp electric fields. Simultaneous EEG and fMRI. Recording, Analysis, and Application, Oxford University Press.10.1093/acprof:oso/9780195372731.001.0001 ↗
10. Freeman, W.J. (1975). Mass Action in the Nervous System. Examination of the Neurophysiological Basis of Adaptive Behavior through the EEG, Academic Press.
11. Correlation between EEG and cognitive abilities: Sex differences10.3109/00207458908986226 ↗
12. Linking spontaneous activity of single cortical neurons and the underlying functional architecture10.1126/science.286.5446.1943 ↗
13. Toward a quantitative description of large-scale neocortical dynamic function and EEG10.1017/S0140525X00003253 ↗
14. Cortical coordination dynamics and cognition10.1016/S1364-6613(00)01564-3 ↗
15. Bayesian estimation of synaptic physiology from the spectral responses of neural masses10.1016/j.neuroimage.2008.01.025 ↗
16. Can we observe collective neuronal activity from macroscopic aggregate signals?10.1016/j.neuroimage.2008.10.035 ↗
17. Neurophysiological changes with age probed by inverse modelling of EEG spectra10.1016/j.clinph.2009.09.021 ↗
18. Short-term EEG spectral pattern as a single event in EEG phenomenology
19. Memory processes, brain oscillations and EEG synchronization10.1016/S0167-8760(96)00057-8 ↗
20. The generation of electric and magnetic signals of the brain by local networks
21. EEG alpha and theta oscillations reflect cognitive and memory performance: A review and analysis10.1016/S0165-0173(98)00056-3 ↗
22. Basar, E. (1998). Brain Function and Oscillations. I Vol. Brain Oscillations: Principles and Approaches, Springer.10.1007/978-3-642-72192-2 ↗
23. Are cognitive processes manifested in event-related gamma, alpha, theta and delta oscillations in the EEG?10.1016/S0304-3940(98)00934-3 ↗
24. Brain oscillations in perception and memory10.1016/S0167-8760(99)00047-1 ↗
25. Reinvang, I., Greenlee, M., and Herrmann, M. (2003). Interindividual differences in oscillatory EEG activity and cognitive performance. The Cognitive Neuroscience of Individual Differences, BIS.
26. Super-synergy in the brain: The grandmother percept is manifested by multiple oscillations10.1142/S0218127404009272 ↗
27. The functional significance of theta and upper alpha oscillations10.1027/1618-3169.52.2.99 ↗
28. Spontaneous awake EEG patterns in three lines of primate evolution10.1016/S0091-6773(74)91964-6 ↗
29. Antenatal maternal anxiety and stress and the neurobehavioural development of the fetus and child: Links and possible mechanisms. A review10.1016/j.neubiorev.2004.10.007 ↗
30. Timing of prenatal maternal exposure to severe life events and adverse pregnancy outcomes: A population study of 2.6 million pregnancies10.1097/PSY.0b013e31820a62ce ↗
31. The impact of maternal depression during pregnancy on perinatal outcomes: A systematic review and meta-analysis10.4088/JCP.12r07968 ↗
32. Maternal stress during pregnancy is associated with moderate to severe depression in 11-year-old children10.1111/apa.12787 ↗
33. Stressful newborn memories: Pre-conceptual, in utero, and postnatal events10.3389/fpsyt.2019.00220 ↗
34. Quantitative EEG characteristics of children exposed in utero to cocaine10.1177/155005949502600308 ↗
35. Kellaway, P., and Petersen, I. (1973). Frequency analysis of the EEG in normal children and adolescents. Automation of Clinical Electroencephalography, Raven Press.
36. Maturation of EEG power spectra in early adolescence: A longitudinal study10.1111/j.1467-7687.2010.01031.x ↗
37. EEG maturation: Viability through adolescence
38. Child EEG (and maturation)10.1016/B978-0-444-64032-1.00008-4 ↗
39. Rhythmic processes in the cerebral cortex10.1016/S0022-5193(84)80080-6 ↗
40. Age increases brain complexity10.1016/0921-884X(96)95573-3 ↗
41. Electrophysiological correlates of cortico-subcortical interaction: A cross-frequency spectral EEG analysis10.1016/j.clinph.2005.09.021 ↗
42. Maturation of the coherence of EEG activity in normal and learning-disabled children10.1016/0013-4694(92)90070-X ↗
43. Diagnosis of the functional state of the brain in young school-age children with learning difficulties
44. Ulrich, G. (1994). Psychiatric Electroencephalography. Updated and Revised Edition (2002) of the Original Textbook Psychiatrische Elektroenzephalographie (in German), Gustav Fischer Verlag.
45. Turner, F.J. (1984). Antisocial personalities. Adult Psychopathology. A Social Work Perspective, The Free Press.
46. Incest: Some neuropsychiatric findings10.2190/4MR2-GH93-BTFG-DR3V ↗
47. The impact of early life stress on psychophysiological, personality and behavioural measures in 740 non-clinical subjects10.1142/S0219635205000689 ↗
48. Mechanisms linking early life stress to adult health outcomes10.1073/pnas.1003890107 ↗
49. EEG maturation on children with different economic and psychosocial characteristics10.3109/00207458808985747 ↗
50. EEG development in children with sociocultural disadvantages: A follow-up study10.1016/S1388-2457(03)00173-1 ↗
51. Bucharest early intervention project core group. A comparison of the electroencephalogram between institutionalized and community children in Romania10.1162/0898929042304723 ↗
52. Childhood trauma is associated with altered cortical arousal: Insights from an EEG study10.3389/fnint.2012.00120 ↗
53. Normalization of EEG activity among previously institutionalized children placed into foster care: A 12-year follow-up of the Bucharest Early Intervention Project10.1016/j.dcn.2015.12.004 ↗
54. Early protein energy malnutrition impacts life-long developmental trajectories of the sources of EEG rhythmic activity10.1016/j.neuroimage.2022.119144 ↗
55. EEG Connectivity Patterns in Childhood Sexual Abuse: A Multivariate Application Considering Curvature of Brain Space10.1080/10874200802398808 ↗
56. Childhood trauma associated with enhanced high frequency band powers and induced subjective inattention of adults10.3389/fnbeh.2017.00148 ↗
57. EEG discriminant analysis of mild head trauma10.1016/0013-4694(89)90188-0 ↗
58. Technical and clinical aspects of topographic brain mapping10.1177/155005948902000411 ↗
59. The electrophysiological effects of a brain injury on auditory memory functioning: The QEEG correlates of impaired memory10.1093/arclin/18.4.363 ↗
60. Computerized recognition of persons by EEG spectral patterns10.1016/0013-4694(80)90368-5 ↗
61. Test–retest reliability of spectral parameters of the EEG10.1016/0013-4694(85)90005-7 ↗
62. Test–retest reliability in EEG frequency analysis10.1016/0013-4694(91)90203-G ↗
63. Reliability of topographic quantitative EEG amplitude in healthy late-middle-aged and elderly subjects10.1016/0013-4694(91)90152-T ↗
64. Individual reliability of amplitude distribution in topographical mapping of EEG10.1016/0013-4694(93)90101-Z ↗
65. Test–retest reliability of EEG spectral parameters during cognitive tasks: II. Coherence10.3109/00207459308994281 ↗
66. Internal consistency reliability of resting EEG power spectra in schizophrenic and normal subjects10.1111/j.1469-8986.1995.tb03407.x ↗
67. Familial brain wave patterns: Study of a 12-sib family10.1097/00041444-199800830-00003 ↗
68. Life-span changes in EEG spectral amplitude, amplitude variability and mean frequency10.1016/S1388-2457(99)00102-9 ↗
69. Long-term intra-individual variability of the background EEG in normals10.1016/S1388-2457(99)00122-4 ↗
70. Intraindividual specificity and stability of human EEG: Comparing a linear vs. a onlinear approach10.1055/s-0038-1634249 ↗
71. Person identification from the EEG using nonlinear signal classification10.1055/s-0038-1634316 ↗
72. Time course and variability of power in different frequency bands of EEG during resting conditions10.1016/j.neucli.2004.09.003 ↗
73. Stability, reliability and consistency of the compositions of brain oscillations10.1016/j.ijpsycho.2005.03.014 ↗
74. Long-term stability of frontal electroencephalographic asymmetry in adults with a history of depression and controls10.1016/j.ijpsycho.2005.02.008 ↗
75. Test-retest reliability of resting EEG spectra validates a statistical signature of persons10.1016/j.clinph.2007.07.022 ↗
76. A better estimate of the internal consistency reliability of frontal EEG asymmetry scores10.1111/j.1469-8986.2008.00759.x ↗
77. Reliability of quantitative EEG (qEEG) measures and LORETA current source density at 30 days10.1016/j.neulet.2012.04.035 ↗
78. Peak individual alpha frequency qualifies as a stable neurophysiological trait marker in healthy younger and older adults10.1111/psyp.12043 ↗
79. The genetic basis of the normal human electroencephalogram (EEG)10.1007/BF00295509 ↗
80. Genetic determination of EEG frequency spectra10.1016/0301-0511(74)90001-5 ↗
81. EEG spectra in twins: Evidence for a neglected mechanism of genetic determination10.3758/BF03327008 ↗
82. Genetic aspects of the EEG: An investigation into the within-pair similarity of monozigotic and dyzigotic twins with a new method of analysis10.1016/0013-4694(87)90095-2 ↗
83. Genetics of the human electroencephalogram (EEG) and event-related brain potentials (ERPs): A review10.1007/BF00201587 ↗
84. Genetic analysis of the resting electroencephalographic power spectrum in human twins10.1111/j.1469-8986.1996.tb02435.x ↗
85. Genetic architecture of EEG power spectra in early life10.1016/0013-4694(96)95601-1 ↗
86. Heritability of human brain functioning as assessed by electroencephalography
87. Are smarter brains running faster? Heritability of alpha peak frequency, IQ, and their interrelation10.1023/A:1013345411774 ↗
88. A genetic perspective on the developing brain: Electrophysiological indices of neural functioning in young and adolescent twins10.1027//1016-9040.6.4.254 ↗
89. Twin and family studies of the human electroencephalogram: A review and a meta-analysis10.1016/S0301-0511(02)00055-8 ↗
90. Heritability of background EEG across the power spectrum10.1111/j.1469-8986.2005.00352.x ↗
91. Genetic influences on dynamic complexity of brain oscillations10.1016/j.neulet.2005.12.025 ↗
92. Genetic variation of individual alpha frequency (IAF) and alpha power in a large adolescent twin sample10.1016/j.ijpsycho.2005.10.004 ↗
93. Heritability of bipolar EEG spectra in a large sib-pair population10.1007/s10519-006-9133-0 ↗
94. Spectral analysis of EEG from families10.1016/0301-0511(95)05129-X ↗
95. Genetics of human brain oscillations10.1016/j.ijpsycho.2005.12.013 ↗
96. Association of EEG coherence and an exonic GABA(B)R1 gene polymorphism10.1002/ajmg.b.10031 ↗
97. Linkage disequilibrium between the beta frequency of the human EEG and a GABAa receptor gene locus10.1073/pnas.052716399 ↗
98. Variations in GABRA2, encoding the alpha 2 subunit of the GABA(A) receptor, are associated with alcohol dependence and with brain oscillations10.1086/383283 ↗
99. Association analysis of exonic variants of the GABA(B)-receptor gene and alpha electroencephalogram voltage in normal subjects and alcohol-dependent patients10.1023/A:1021043315012 ↗
100. HTR3B is associated with alcoholism with antisocial behavior and alpha EEG power--an intermediate phenotype for alcoholism and co-morbid behaviors10.1016/j.alcohol.2008.09.005 ↗