Zusammenfassung
Durch den rasanten Fortschritt in der Computertechnologie – der sich sowohl in der Hardware als auch in der Softwareentwicklung in immer schnelleren Rechnern mit größeren Speicherkapazitäten, besserer visueller Darstellung des Feedbacks und komplexen Softwaremodulen widerspiegelt – ist es seit wenigen Jahren möglich geworden, auch neue, aufwändige Bio- und Neurofeedbackanwendungen in den therapeutischen Praxen einzusetzen.
Unter Mitarbeit von Patricia Dornuf und Monique Breithaupt-Peters
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Bei Brainmaster bzw. in der Abbildung
Weiterführende Literatur
Allgemein
Sherlin L, Arns M, Lubar J, Sokhadze E (2010) A position paper on Neurofeedback for the treatment of ADHD. J Neurotherapy 14(2):66–78
QEEG
Collura TF (2013) Technical foundations of neurofeedback, 1. Aufl. Routledge, New York
Hoffman DA, Lubar JF, Thatcher RW, Sterman B, Rosenfeld P, Striefel S, Trudeau D, Stockdale S (1999) Limitations of the American Academy of Neurology and American Clinical Neurophysiology Society paper on qEEG. J Neurophysiol Clin Neurosci 11:401–407
Thatcher RW, Lubar JF (2009) History of the scientific standards of QEEG normative databases. Introd Quant EEG Neurofeedback 2009:29–59. https://doi.org/10.1016/b978-0-12-374534-7.00002-2
Thatcher RW, Walker R, Biver C, North D, Curtin R (2003) Sensitivity and specificity of an EEG normative database: validation and clinikcal correlation. J Neurotherapy 7(3/4):87–121
Z-Wert-Training
Collura TF (2008a) Whole-head normalization using live Z-scores for connectivity training (Part 2). NeuroConnections Newsl:9–12
Collura TF (2008b) Whole-head normalization using live Z-scores for connectivity training, Part 1. NeuroConnections Newsl 18–19 (S 12, 15)
Collura TF (2009) Neuronal dynamics in relation to normative electroencephalography assessment and training. Biofeedback 36:134–139
Collura TF, Guan J, Tarrant J, Bailey J, Starr F (2010) EEG biofeedback case studies using live Z-score training and a normative database. J Neurotherapy 14(1):22–46
Smith M (2008) A father finds a solution: Z-score training. NeuroConnections Newsl 24–25 (S 22)
Thatcher RW (2008) Z-score EEG biofeedback: conceptual foundations. NeuroConnections Newsl 20 (S 9, 11)
LORETA-Neurofeedback
Brodmann K (1909) Vergleichende Lokalisationslehre der Grosshirnrinde. In ihren Principien dargestellt auf Grund des Zellenbaues. Johann Ambrosius Barth Verlag, Leipzig
Buckner RL, Andrews-Hanna JR, Schacter DL (2008) The brain’s default network – anatomy, function, and relevance to disease. Ann N Y Acad Sci 1124:1–38
Cannon R, Lubar J (2007) EEG spectral power and coherence: Differentiating effects of spatial-specific neuro-operant learning (SSNOL) utilizing LORETA neurofeedback training in the anterior cingulate and bilateral dorsolateral prefrontal cortices. J Neurotherapy 11(3):25–44
Cannon R, Lubar J, Thornton K, Wilson S, Congedo M (2005) Limbic beta activation and LORETA: can hippocampal and related limbic activity be recorded and changes visualized using LORETA in an affective memory condition? J Neurotherapy 8(4):5–24
Cannon R, Lubar J, Gerke A, Thornton K, Hutchens T, McCammon V (2006) EEG spectral-power and coherence: LORETA neurofeedback training in the anterior cingulate gyrus. J Neurotherapy 10(1):5–31
Cannon R, Lubar J, Congedo M, Thornton K, Towler K, Hutchens T (2007) The effects of neurofeedback training in the cognitive division of the anterior cingulate gyrus. Int J Neurosci 117(3):337–357
Cannon R, Lubar J, Sokhadze E, Baldwin D (2008) LORETA neurofeedback for addiction and the possible neurophysiology of psychological processes influenced: a case study and region of interest analysis of LORETA neurofeedback in right anterior cingulate cortex. J Neurotherapy 12(4):227–241
Cannon R, Congredo M, Lubar J, Hutchens T (2009) Differentiating a network of executive attention: LORETA neurofeedback in anterior cingulate and dorsolateral prefrontal cortices. Int J Neurosci 119(3):404–441
Congedo M, Lubar JF, Joffe D (2004) Low-resolution electromagnetic tomography neurofeedback. IEEE Trans Neural Syst Rehabil Eng 12(4):387–397
Hagmann P, Cammoun L, Gigandet X, Meuli R, Honey CJ, Wedeen VJ et al (2008) Mapping the structural core of human cerebral cortex. PLoS Biol 6(7):e159. https://doi.org/10.1371/journal.pbio.0060159
Hebb D (1949) The organisation of behaviour. Wiley, New York
Jatoi MA, Kamel N, Malik AS, Faye I (2014) EEG based brain source localization comparison of sLORETA and eLORETA. Australas Phys Eng Sci Med 37:713–721
Koberda JL (2012) Autistic spectrum disorder (ASD) as a potential target of Z-score LORETA neurofeedback. The Neuroconnection- winter 2012, edition (ISNR), S 24
Koberda JL, Moses A, Koberda L, Koberda P (2012) Cognitive enhancement using19-electrode Z-score neurofeedback. J Neurotherapy 16(3):224–230
Koberda JL, Koberda L. Koberda P. Moses A. Bienkiewicz A. (2013a) Alzheimer’s dementia as a potential targer of Z-score LORETA 19-electrode neurofeedback. Neuroconnection, S 30–32, Winter 2013
Koberda JL, Koberda P, Bienkiewicz A, Moses A, Koberda L (2013b) Pain management using 19-electrode Z-score LORETA neurofeedback. J Neurotherapy 17:179–190
Koberda JL, Koberda P, Moses A, Winslow J, Bienkiewicz A, Koberda L (2014a) Z-score LORETA Neurofeedback as a potential therapy of ADHD. –summer-Special Edition-Biofeedback Magazine
Koberda JL, Koberda P, Moses A, Winslow J, Bienkiewicz A, Koberda L (2014b) Z-score LORETA Neurofeedback as a Potential Therapy in Depression and Anxiety. Spring-Neuroconnection, S 52–55
Laird AR, Fox PM, Eickhoff SB et al (2011) Behavioral interpretations of intrinsic connectivity networks. J Cogn Neurosci 23:4022–4037
Leong SL, Vanneste S, Lim J, Smith M, Manning P, De Ridder D (2018) A randomised, double-blind, placebo-controlled parallel trial of closed-loop infraslow brain training in food addiction. Sci Rep 8:11659. https://doi.org/10.1038/s41598-018-30181-7
Lubar J, Congedo M, Askew JH (2003) Low-resolution electromagnetic tomography (LORETA) of cerebral activity in chronic depressive disorder. Int J Psychophysiol 49(3):175–185
Mille KJ, Weaver KE, Ojemann JG (2009) Direct electrophysiological measurement of human default network areas. PNAS 106(29):12174
Palva JM, Palva S (2012) Infra-slow fluctuations in electrophysiological recordings, blood-oxygenation-level-dependent signals, and psychophysical time series. Neuroimage 62(4):2201–2211
Park HJ, Friston K (2013) Structural and functional brain networks: from connections to cognition. Science 342:1238411. https://doi.org/10.1126/science.1238411
Pascual-Marqui RD (1999) Review of methods for solving the EEG inverse problem. Int J Bioelectromagnetism 1(1):75–86
Pascual-Marqui RD (2002) Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. Methods Find Exp Clin Pharmacol 24(Suppl D):5–12
Pascual-Marqui RD (2007) Discrete, 3D distributed, linear imaging methods of electric neuronal activity. Part 1: exact, zero error localization. arXiv: 0710.3341. http://arxiv.org/pdf/0710.3341
Pascual-Marqui RD (2009) Theory of the EEG inverse problem. In: Tong S, Thakor NV (Hrsg) Quantitative EEG analysis: methods and clinical applications. Artech House, Boston, S 121–140
Pascual-Marqui RD, Michel CM, Lehmann D (1994) Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. Int J Psychophysiol 18(1):49–65
Pascual-Marqui RD, Lehmann D, Koukkou M, Kochi K, Anderer P, Saletu B, Tanaka H, Hirata K, John ER, Prichep L, Biscay-Lirio R, Kinoshita T (2011) Assessing interactions in the brain with exact low-resolution electromagnetic tomography. Philos Trans A Math Phys Eng Sci 369(1952):3768–3784
Pascual-Marqui RD, Biscay R, Bosch-Bayard J, Lehmann D, Kochi K, Yamada N, Kinoshita T, Sadato, N (2014a) Isolated effective coherence (iCoh): causal information flow excluding indirect paths. arXiv preprint arXiv:1402.4887. http://arxiv.org/abs/1402.4887
Pascual-Marqui RD, Biscay R, Bosch-Bayard J, Lehmann D, Kochi K, Yamada N, Kinoshita T, Sadato N (2014b) Assessing direct paths of intracortical causal information flow of oscillatory activity with the isolated effective coherence (iCoh). Front Hum Neurosci 8, 448 https://doi.org/10.3389/fnhum.2014.00448.eCollection2014.
Pascual-Marqui, Faber, Ikeda, Ishii, Kinoshita, Kitaura, Kochi, Milz, Nishida, Yoshimura (2017) The cross-frequency mediation mechanism of intracortical information transactions. arxiv.org/abs/1703.07654. https://doi.org/10.1101/119362
Petersen SE, Sporns O (2015) Brain networks and cognitive architectures. Neuron 88(1):207–219
Raichle ME, Snyder AZ (2007) A default mode of brain function: a brief history of an evolving idea. Neuroimage 37:1083–1090
Thatcher RW (2008) Z-score EEG biofeedback: conceptual foundations. NeuroConnections Newsl 20 (S 9, 11)
Phänotyp-geleitetes Neurofeedbacktraining
Arns M, Gunkelman J, Breteler M, Spronk D (2008) EEG phenotypes predict treatment outcome to stimulants in children with ADHD. J Integr Neurosci 7:421–438
Coben R, Linden M, Myers TE (2010) Neurofeedback for autistic spectrum disorder: a review of literature. Appl Psychophysiol Biofeedback 35:83–105
Falkai P, Wittchen HU (2018) Diagnostisches und statistisches Manual Psychischer Störungen DSM-5. Hogrefe.
Gunkelman J (2006) Transcend the DSM using phenotypes. Biofeedback 34(3):95–98
Johnstone J, Gunkelman J, Lunt J (2005) Clinical database development: characterization of EEG phenotypes. Clin EEG Neurosci 36(2):99–107
Neurostimulation
Antal A, Herrmann CS (2016) Transcranial alternating current and random noise stimulation: possible mechanisms. Neural Plast 2016:3616807
Antal A, Paulus W (2013) Transcranial alternating current stimulation (tACS). Front Hum Neurosci 7:317
Aust S, Palm U, Padberg F, Bajbouj M (2015) Transkranielle Gleichstromstimulation bei depressiven Störungen. Nervenarzt 86:1492–1499
Bikson M, Grossman P, Thomas C, Zannou AL, Jiang J, Adnan T, Mourdoukoutas A, Kronberg G, Truong D, Boggio P, Brunoni A, Charvet L, Fregni F, Frisch B, Gillick B, Hamilton R, Hampstead B, Jankord R, Kirton A, Knotkova H, Liebetanz D, Liu A, Loo C, Nitsche M, Reis J, Richardson J, Rotenberg A, Turkeltaub P, Woods A (2016) Safety of transcranial direct current stimulation: evidence based update 2016. Brain Stimul 9:641–661
Das S, Holland P, Frens MA, Donchin O (2016) Impact of transcranial direct current stimulation (tDCS) on neuronal functions. Front Neurosci 10:550
Funk R (2017) Does electromagnetic therapy meet an equivalent counterpart within the organism? J Transl Sci 3:1–6
Hamblin M (2016) Shining light on the head: photobiomodulation for brain disorders. Biochom Biophys Acta Clin 6:113–124
Hennessy M, Hamblin M (2016) Photobiomodulation and the brain: a new paradigm. J Opt 19:013003
Kunze T, Hunold A, Haueisen J, Jirsa V, Spiegler A (2016) Transcranial direct current stimulation changes resting state functional connectivity: a large-scale brain network modeling study. Neuroimage 140:174–187. https://doi.org/10.1016/j.neuroimage.2016.02.015
Martiny K, Lunde M, Bech P (2010) Transcranial low voltage pulsed electromagnetic fields in patients with treatment-resistant depression. Biol Psychiatry 68:163–169. https://doi.org/10.1016/j.biopsych.2010.02.017
Matsumoto H, Ugawa Y (2016) Adverse events of tDCS and tACS: a review. Clin Neurophysiol Pract 2:19–25. https://doi.org/10.1016/j.cnp.2016.12.003
Monai H, Ohkura M, Tanaka M, Oe Y, Konno A, Hirai H, Mikoshiba K, Itohara S, Nakai J, Iwai Y, Hirase H (2016) Calcium imaging reveals glial involvement in transcranial direct current stimulation-induced plasticity in mouse brain. Nat Commun 7:11100. https://doi.org/10.1038/ncomms11100
Nitsche M, Paulus W (2000) Excitability changes induced in the human motor cortex by weak transcranial direct current stimulation. J Physiol 527:633–639
Palm U, Reisinger E, Keeser D, Kuo M, Pogarell O, Leicht G, Mulert C, Nitsche M, Padberg F (2013) Evaluation of sham transcranial direct current stimulation for randomized, placebo-controlled clinical trials. Brain Stimul 6:690–695
Robertson JA, Théberge J, Weller J, Drost DJ, Prato FS, Thomas AW (2009) Low-frequency pulsed electromagnetic field exposure can alter neuroprocessing in humans. J Roy Soc Interf 7:467–473
Roche N, Geiger M, Bussel B (2015) Mechanisms underlying the effects of transcranial direct current stimulation. Ann Phys Rehabil Med 58:214–219. https://doi.org/10.1016/j.rehab.2015.04.009
Vosskuhl J, Strüber D, Herrmann CS (2018) Non-invasive brain stimulation: a paradigm shift in understanding brain oscillations. Front Hum Neurosci 12:211. https://doi.org/10.3389/fnhum.2018.00211
Woods A, Antal A, Bikson M, Boggio P, Brunoni A, Celnik P, Cohen L, Fregni F, Herrmann CS, Kappenman E, Knotkova H, Liebetanz D, Miniussi C, Miranda P, Paulus W, Priori A, Reato D, Stagg C, Wenderoth N, Nitsche M (2016) A technical guide to tDCS, and related non-invasive brain stimulation tools. Clin Neurophysiol 127:1031–1048
HEG-Biofeedback
Carmen JA (2004) Passive infrared hemoencephalography: four years and 100 migraines. J Neurotherapy 8(3):23–51
Coben R, Pudolsky I (2007) Infrared imaging and neurofeedback: initial reliability and validity. J Neurotherapy 11(3):3–13
Friedes D, Aberbach L (2003) Exploring hemispheric differences in infrared brain emissions. J Neurotherapy 8(3):53–61
Mize W (2004) Hemoencephalography a new therapy for attention deficit hyperactivity disorder (ADHD): case report. J Neurotherapy 8(3):77–97
Sherrill R (2004) Effects of hemoencephalography (HEG) training at three prefrontal locations using EEG ratios at Cz. J Neurotherapy 8(3):63–76
Toomim H, Mize W, Kwong PC, Toomim M, Marsh R, Kozlowski GP, Kimball M, Remond A (2004) Intentional increase of cerebral blood oxygenation using hemoencephalography (HEG). J Neurotherapy 8(3):5–21
fMRT-Neurofeedback
Bray S, Shimojo S, O’Doherty JP (2007) Direct instrumental conditioning of neural activity using functional magnetic resonance imagingderived reward feedback. J Neurosci 27:7498–7507
Caria A, Veit R, Sitaram R, Lotze M, Weiskopf N, Grodd W, Birbaumer N (2007) Regulation of anterior insular cortex activity using real-time fMRI. Neuroimage 35:1238–1246
Caria A, Sitaram R, Veit R, Begliomini C, Birbaumer N (2010) Volitional control of anterior insula activity modulates the response to aversive stimuli. A real-time functional magnetic resonance imaging study. Biol Psychiatry 68(5):425–432
DeCharms RC (2007) Reading and controlling human brain activation using real-time functional magnetic resonance imaging. Trends Cogn Sci 11:473–481
DeCharms RC (2008) Applications of real-time fMRI. Nat Neurosci 9:720–729
DeCharms RC, Christoff K, Glover G, Pauly J, Whitfield S, Gabrieli J (2004) Learned regulation of spatially localized brain activation using real-time fMRI. Neuroimage 21:436–443
DeCharms RC, Maeda F, Glover GH, Ludlow D, Pauly JM, Soneji D, Gabrieli JD, Mackey SC (2005) Control over brain activation and pain learned by using realtime functional MRI. Proc Natl Acad Sci 102:18626–18631
Fetz EE (2007) Volitional control of neural activity: implications for brain-computer interfaces. J Physiol 579:571–579
Johnston SJ, Boehm SG, Healy D, Goebel R, Linden DEJ (2010) Neurofeedback: a promising tool for the self-regulation of emotion networks. Neuroimage 49(1):1066–1072
Rota G, Sitaram R, Veit R, Erb M, Weiskopf N, Dogil G, Birbaumer N (2009) Self-regulation of regional cortical activity using real-time fMRI: the right inferior frontal gyrus and linguistic processing. Hum Brain Mapp 30:1605–1614
Sitaram R, Caria A, Veit R, Gaber T, Ruiz S, Birbaumer N (2014) Volitional control of the anterior insula in criminal psychopaths using real-time fMRI neurofeedback: a pilot study. Front Behav Neurosci 8:344
Weiskopf N, Veit R, Erb M, Mathiak K, Grodd W, Goebel R, Birbaumer N (2003) Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI): methodology and exemplary data. Neuroimage 19:577–586
Weiskopf N, Scharnowski F, Veit R, Goebel R, Birbaumer N, Mathiak K (2004) Self-regulation of local brain activity using real-time functional magnetic resonance imaging (fMRI). J Physiol Paris 98:357–373
Weiskopf N, Sitaram R, Josephs O, Veit R, Scharnowski F, Goebel R, Birbaumer N, Deichmann R, Mathiak K (2007) Real-time functional magnetic resonance imaging: methods and applications. Magn Reson Imaging 25:989–1003
Yoo S, Jolesz FA (2002) Functional MRI for neurofeedback: feasibility study on a hand motor task. Neuroreport 13:1377–1381
Yoo S, O’Leary H, Fairneny T, Chen N, Panych L, Park H, Jolesz F (2006) Increasing cortical activity in auditory areas through neurofeedback functional magnetic resonance imaging. Neuroreport 17:1273–1278
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer-Verlag GmbH Deutschland, ein Teil von Springer Nature
About this chapter
Cite this chapter
Haus, KM. et al. (2020). Neuere Ansätze im Neurofeedbacktraining. In: Praxisbuch Biofeedback und Neurofeedback. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-59720-0_6
Download citation
DOI: https://doi.org/10.1007/978-3-662-59720-0_6
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-59719-4
Online ISBN: 978-3-662-59720-0
eBook Packages: Medicine (German Language)