Elektroencefalografia (Polish Wikipedia)

Analysis of information sources in references of the Wikipedia article "Elektroencefalografia" in Polish language version.

refsWebsite

Global rank Polish rank

30doi.org

2^nd place

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15worldcat.org

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11nih.gov

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8elsevier.com

610^th place

682^nd place

6wiley.com

222^nd place

228^th place

2lww.com

2,769^th place

1,863^rd place

2frontiersin.org

4,679^th place

3,010^th place

1choosemuse.com

low place

1rug.nl

2,779^th place

4,718^th place

1theguardian.com

12^th place

36^th place

1isnr-jnt.org

low place

1bmj.com

1,226^th place

1,204^th place

1hindawi.com

6,828^th place

4,329^th place

1f1000research.com

low place

1iop.org

1,725^th place

1,065^th place

1mdpi.com

2,912^th place

1,138^th place

1springer.com

274^th place

376^th place

1plos.org

2,112^th place

1,414^th place

1nature.com

234^th place

204^th place

bmj.com

jnnp.bmj.com

S J MS.J.M. Smith S J MS.J.M., EEG in the diagnosis, classification, and management of patients with epilepsy, „Journal of Neurology, Neurosurgery & Psychiatry”, 76 (suppl_2), 2005, ii2–ii7, DOI: 10.1136/jnnp.2005.069245, ISSN 0022-3050, PMID: 15961864, PMCID: PMC1765691 [dostęp 2023-01-09] (ang.).

choosemuse.com

EEG & Biofeedback Research from Muse [online], Muse [dostęp 2020-10-12] (ang.).

doi.org

dx.doi.org

H.H. Yang H.H. i inni, Neural and cortical analysis of swallowing and detection of motor imagery of swallow for dysphagia rehabilitation—A review, t. 228, Elsevier, 2016, s. 185–219, DOI: 10.1016/bs.pbr.2016.03.014., ISBN 978-0-12-804216-8 [dostęp 2023-01-09] (ang.).
Peter E.P.E. Clayson Peter E.P.E. i inni, Methodological reporting behavior, sample sizes, and statistical power in studies of event‐related potentials: Barriers to reproducibility and replicability, „Psychophysiology”, 56 (11), 2019, DOI: 10.1111/psyp.13437, ISSN 0048-5772 [dostęp 2023-01-09] (ang.).
Marabella A.M.A. Alhambra Marabella A.M.A., Timothy P.T.P. Fowler Timothy P.T.P., Antonio A.A.A. Alhambra Antonio A.A.A., EEG Biofeedback:: A New Treatment Option for ADD/ADHD, „Journal of Neurotherapy”, 1 (2), 1995, s. 39–43, DOI: 10.1300/J184v01n02_03, ISSN 1087-4208 [dostęp 2023-01-09] (ang.).
WojciechW. Derkowski WojciechW., AlicjaA. Kędzia AlicjaA., Komputerowa analiza grafoelementów napadowych w czynności EEG., [w:] Komputerowe wspomaganie badań naukowych, t. 21, Wrocław Scientific Society, 2014, s. 89-97, DOI: 10.5281/zenodo.10615002, ISBN 978-83-7374-090-7 .
S J MS.J.M. Smith S J MS.J.M., EEG in the diagnosis, classification, and management of patients with epilepsy, „Journal of Neurology, Neurosurgery & Psychiatry”, 76 (suppl_2), 2005, ii2–ii7, DOI: 10.1136/jnnp.2005.069245, ISSN 0022-3050, PMID: 15961864, PMCID: PMC1765691 [dostęp 2023-01-09] (ang.).
MariosM. Adamou MariosM., TimT. Fullen TimT., Sarah L.S.L. Jones Sarah L.S.L., EEG for Diagnosis of Adult ADHD: A Systematic Review With Narrative Analysis, „Frontiers in Psychiatry”, 11, 2020, DOI: 10.3389/fpsyt.2020.00871, ISSN 1664-0640, PMID: 33192633, PMCID: PMC7477352 [dostęp 2023-01-09] .
RaymundoR. Cassani RaymundoR. i inni, Systematic Review on Resting-State EEG for Alzheimer’s Disease Diagnosis and Progression Assessment, „Disease Markers”, 2018, 2018, e5174815, DOI: 10.1155/2018/5174815, ISSN 0278-0240, PMID: 30405860, PMCID: PMC6200063 [dostęp 2023-01-09] (ang.).
J.J. Pillai J.J., M.M. Sperling M.M., Interictal EEG and the diagnosis of epilepsy, „Epilepsia”, 47, 2006, s. 14-22, DOI: 10.1111/j.1528-1167.2006.00654.x .
Elson L.E.L. So Elson L.E.L., Interictal Epileptiform Discharges in Persons Without A History of Seizures: What Do They Mean?, „Journal of Clinical Neurophysiology”, 27 (4), 2010, s. 229–238, DOI: 10.1097/WNP.0b013e3181ea42a4, ISSN 0736-0258 [dostęp 2023-01-09] (ang.).
H.K.H.K. Bouma H.K.H.K. i inni, The diagnostic accuracy of routine electroencephalography after a first unprovoked seizure, „European Journal of Neurology”, 23 (3), 2016, s. 455–463, DOI: 10.1111/ene.12739, ISSN 1351-5101 [dostęp 2023-01-09] (ang.).
ThomasT. Burns ThomasT., RameshR. Rajan RameshR., Combining complexity measures of EEG data: multiplying measures reveal previously hidden information, „F1000Research”, 4, 2015, s. 137, DOI: 10.12688/f1000research.6590.1, ISSN 2046-1402, PMID: 26594331, PMCID: PMC4648221 [dostęp 2023-01-09] (ang.).
BorísB. Burle BorísB. i inni, Spatial and temporal resolutions of EEG: Is it really black and white? A scalp current density view, „International Journal of Psychophysiology”, 97 (3), 2015, s. 210–220, DOI: 10.1016/j.ijpsycho.2015.05.004, PMID: 25979156, PMCID: PMC4548479 [dostęp 2023-01-09] (ang.).
StefanS. Debener StefanS. i inni, How about taking a low-cost, small, and wireless EEG for a walk?: EEG to go, „Psychophysiology”, 49 (11), 2012, s. 1617–1621, DOI: 10.1111/j.1469-8986.2012.01471.x [dostęp 2023-01-09] (ang.).
Meryem A.M.A. Yücel Meryem A.M.A. i inni, Functional Near Infrared Spectroscopy: Enabling routine functional brain imaging, „Current Opinion in Biomedical Engineering”, 4, 2017, s. 78–86, DOI: 10.1016/j.cobme.2017.09.011, PMID: 29457144, PMCID: PMC5810962 [dostęp 2023-01-09] (ang.).
Kieran J.K.J. Murphy Kieran J.K.J., James A.J.A. Brunberg James A.J.A., Adult claustrophobia, anxiety and sedation in MRI, „Magnetic Resonance Imaging”, 15 (1), 1997, s. 51–54, DOI: 10.1016/S0730-725X(96)00351-7 [dostęp 2023-01-09] (ang.).
RezaR. Abiri RezaR. i inni, A comprehensive review of EEG-based brain–computer interface paradigms, „Journal of Neural Engineering”, 16 (1), 2019, s. 011001, DOI: 10.1088/1741-2552/aaf12e, ISSN 1741-2560 [dostęp 2023-01-09] .
Sanay Muhammad UmarS.M.U. Saeed Sanay Muhammad UmarS.M.U. i inni, EEG Based Classification of Long-Term Stress Using Psychological Labeling, „Sensors”, 20 (7), 2020, s. 1886, DOI: 10.3390/s20071886, ISSN 1424-8220, PMID: 32235295, PMCID: PMC7180785 [dostęp 2023-01-09] (ang.).
DanielD. Hölle DanielD., JoostJ. Meekes JoostJ., Martin G.M.G. Bleichner Martin G.M.G., Mobile ear-EEG to study auditory attention in everyday life: Auditory attention in everyday life, „Behavior Research Methods”, 53 (5), 2021, s. 2025–2036, DOI: 10.3758/s13428-021-01538-0, ISSN 1554-3528, PMID: 33721208, PMCID: PMC8516794 [dostęp 2023-01-09] (ang.).
BillB. Byrom BillB. i inni, Brain Monitoring Devices in Neuroscience Clinical Research: The Potential of Remote Monitoring Using Sensors, Wearables, and Mobile Devices, „Clinical Pharmacology & Therapeutics”, 104 (1), 2018, s. 59–71, DOI: 10.1002/cpt.1077, PMID: 29574776, PMCID: PMC6032823 [dostęp 2023-01-09] (ang.).
Efstathios D.E.D. Kondylis Efstathios D.E.D. i inni, Detection of High-Frequency Oscillations by Hybrid Depth Electrodes in Standard Clinical Intracranial EEG Recordings, „Frontiers in Neurology”, 5, 2014, DOI: 10.3389/fneur.2014.00149, ISSN 1664-2295, PMID: 25147541, PMCID: PMC4123606 [dostęp 2023-01-09] .
ShingoS. Murakami ShingoS., YoshioY. Okada YoshioY., Contributions of principal neocortical neurons to magnetoencephalography and electroencephalography signals: MEG/EEG signals of neocortical neurons, „The Journal of Physiology”, 575 (3), 2006, s. 925–936, DOI: 10.1113/jphysiol.2006.105379, PMID: 16613883, PMCID: PMC1995687 [dostęp 2023-01-09] (ang.).
Frank R.F.R. Huang-Hellinger Frank R.F.R. i inni, Simultaneous functional magnetic resonance imaging and electrophysiological recording, „Human Brain Mapping”, 3 (1), 1995, s. 13–23, DOI: 10.1002/hbm.460030103 [dostęp 2023-01-09] (ang.).
Robin IR.I. Goldman Robin IR.I. i inni, Acquiring simultaneous EEG and functional MRI, „Clinical Neurophysiology”, 111 (11), 2000, s. 1974–1980, DOI: 10.1016/S1388-2457(00)00456-9 [dostęp 2023-01-09] (ang.).
Silvina G.S.G. Horovitz Silvina G.S.G., PawelP. Skudlarski PawelP., John C.J.C. Gore John C.J.C., Correlations and dissociations between BOLD signal and P300 amplitude in an auditory oddball task: a parametric approach to combining fMRI and ERP, „Magnetic Resonance Imaging”, 20 (4), 2002, s. 319–325, DOI: 10.1016/S0730-725X(02)00496-4 [dostęp 2023-01-09] (ang.).
HH. Laufs HH. i inni, EEG-correlated fMRI of human alpha activity, „NeuroImage”, 19 (4), 2003, s. 1463–1476, DOI: 10.1016/S1053-8119(03)00286-6 [dostęp 2023-01-09] (ang.).
Mark W.M.W. DiFrancesco Mark W.M.W., Scott K.S.K. Holland Scott K.S.K., Jerzy P.J.P. Szaflarski Jerzy P.J.P., Simultaneous EEG/Functional Magnetic Resonance Imaging at 4 Tesla: Correlates of Brain Activity to Spontaneous Alpha Rhythm During Relaxation, „Journal of Clinical Neurophysiology”, 25 (5), 2008, s. 255–264, DOI: 10.1097/WNP.0b013e3181879d56, ISSN 0736-0258 [dostęp 2023-01-09] (ang.).
ÜmitÜ. Aydin ÜmitÜ. i inni, Combined EEG/MEG Can Outperform Single Modality EEG or MEG Source Reconstruction in Presurgical Epilepsy Diagnosis, DanieleD. Marinazzo (red.), „PLOS One”, 10 (3), 2015, e0118753, DOI: 10.1371/journal.pone.0118753, ISSN 1932-6203 [dostęp 2023-01-09] (ang.).
MathiasM. Schreckenberger MathiasM. i inni, The thalamus as the generator and modulator of EEG alpha rhythm: a combined PET/EEG study with lorazepam challenge in humans, „NeuroImage”, 22 (2), 2004, s. 637–644, DOI: 10.1016/j.neuroimage.2004.01.047 [dostęp 2023-01-09] (ang.).
Jordan J.J.J. Bird Jordan J.J.J. i inni, A Study on Mental State Classification using EEG-based Brain-Machine Interface, „2018 International Conference on Intelligent Systems (IS)”, IEEE, 2018, DOI: 10.1109/is.2018.8710576 [dostęp 2023-01-09] .
SvenS. Vanneste SvenS., Jae-JinJ.J. Song Jae-JinJ.J., Dirk DeD.D. Ridder Dirk DeD.D., Thalamocortical dysrhythmia detected by machine learning, „Nature Communications”, 9 (1), 2018, s. 1103, DOI: 10.1038/s41467-018-02820-0, ISSN 2041-1723 [dostęp 2023-01-09] (ang.).

elsevier.com

linkinghub.elsevier.com

H.H. Yang H.H. i inni, Neural and cortical analysis of swallowing and detection of motor imagery of swallow for dysphagia rehabilitation—A review, t. 228, Elsevier, 2016, s. 185–219, DOI: 10.1016/bs.pbr.2016.03.014., ISBN 978-0-12-804216-8 [dostęp 2023-01-09] (ang.).
BorísB. Burle BorísB. i inni, Spatial and temporal resolutions of EEG: Is it really black and white? A scalp current density view, „International Journal of Psychophysiology”, 97 (3), 2015, s. 210–220, DOI: 10.1016/j.ijpsycho.2015.05.004, PMID: 25979156, PMCID: PMC4548479 [dostęp 2023-01-09] (ang.).
Meryem A.M.A. Yücel Meryem A.M.A. i inni, Functional Near Infrared Spectroscopy: Enabling routine functional brain imaging, „Current Opinion in Biomedical Engineering”, 4, 2017, s. 78–86, DOI: 10.1016/j.cobme.2017.09.011, PMID: 29457144, PMCID: PMC5810962 [dostęp 2023-01-09] (ang.).
Kieran J.K.J. Murphy Kieran J.K.J., James A.J.A. Brunberg James A.J.A., Adult claustrophobia, anxiety and sedation in MRI, „Magnetic Resonance Imaging”, 15 (1), 1997, s. 51–54, DOI: 10.1016/S0730-725X(96)00351-7 [dostęp 2023-01-09] (ang.).
Robin IR.I. Goldman Robin IR.I. i inni, Acquiring simultaneous EEG and functional MRI, „Clinical Neurophysiology”, 111 (11), 2000, s. 1974–1980, DOI: 10.1016/S1388-2457(00)00456-9 [dostęp 2023-01-09] (ang.).
Silvina G.S.G. Horovitz Silvina G.S.G., PawelP. Skudlarski PawelP., John C.J.C. Gore John C.J.C., Correlations and dissociations between BOLD signal and P300 amplitude in an auditory oddball task: a parametric approach to combining fMRI and ERP, „Magnetic Resonance Imaging”, 20 (4), 2002, s. 319–325, DOI: 10.1016/S0730-725X(02)00496-4 [dostęp 2023-01-09] (ang.).
HH. Laufs HH. i inni, EEG-correlated fMRI of human alpha activity, „NeuroImage”, 19 (4), 2003, s. 1463–1476, DOI: 10.1016/S1053-8119(03)00286-6 [dostęp 2023-01-09] (ang.).
MathiasM. Schreckenberger MathiasM. i inni, The thalamus as the generator and modulator of EEG alpha rhythm: a combined PET/EEG study with lorazepam challenge in humans, „NeuroImage”, 22 (2), 2004, s. 637–644, DOI: 10.1016/j.neuroimage.2004.01.047 [dostęp 2023-01-09] (ang.).

f1000research.com

ThomasT. Burns ThomasT., RameshR. Rajan RameshR., Combining complexity measures of EEG data: multiplying measures reveal previously hidden information, „F1000Research”, 4, 2015, s. 137, DOI: 10.12688/f1000research.6590.1, ISSN 2046-1402, PMID: 26594331, PMCID: PMC4648221 [dostęp 2023-01-09] (ang.).

frontiersin.org

MariosM. Adamou MariosM., TimT. Fullen TimT., Sarah L.S.L. Jones Sarah L.S.L., EEG for Diagnosis of Adult ADHD: A Systematic Review With Narrative Analysis, „Frontiers in Psychiatry”, 11, 2020, DOI: 10.3389/fpsyt.2020.00871, ISSN 1664-0640, PMID: 33192633, PMCID: PMC7477352 [dostęp 2023-01-09] .

journal.frontiersin.org

Efstathios D.E.D. Kondylis Efstathios D.E.D. i inni, Detection of High-Frequency Oscillations by Hybrid Depth Electrodes in Standard Clinical Intracranial EEG Recordings, „Frontiers in Neurology”, 5, 2014, DOI: 10.3389/fneur.2014.00149, ISSN 1664-2295, PMID: 25147541, PMCID: PMC4123606 [dostęp 2023-01-09] .

hindawi.com

RaymundoR. Cassani RaymundoR. i inni, Systematic Review on Resting-State EEG for Alzheimer’s Disease Diagnosis and Progression Assessment, „Disease Markers”, 2018, 2018, e5174815, DOI: 10.1155/2018/5174815, ISSN 0278-0240, PMID: 30405860, PMCID: PMC6200063 [dostęp 2023-01-09] (ang.).

iop.org

iopscience.iop.org

RezaR. Abiri RezaR. i inni, A comprehensive review of EEG-based brain–computer interface paradigms, „Journal of Neural Engineering”, 16 (1), 2019, s. 011001, DOI: 10.1088/1741-2552/aaf12e, ISSN 1741-2560 [dostęp 2023-01-09] .

isnr-jnt.org

Marabella A.M.A. Alhambra Marabella A.M.A., Timothy P.T.P. Fowler Timothy P.T.P., Antonio A.A.A. Alhambra Antonio A.A.A., EEG Biofeedback:: A New Treatment Option for ADD/ADHD, „Journal of Neurotherapy”, 1 (2), 1995, s. 39–43, DOI: 10.1300/J184v01n02_03, ISSN 1087-4208 [dostęp 2023-01-09] (ang.).

lww.com

journals.lww.com

Elson L.E.L. So Elson L.E.L., Interictal Epileptiform Discharges in Persons Without A History of Seizures: What Do They Mean?, „Journal of Clinical Neurophysiology”, 27 (4), 2010, s. 229–238, DOI: 10.1097/WNP.0b013e3181ea42a4, ISSN 0736-0258 [dostęp 2023-01-09] (ang.).
Mark W.M.W. DiFrancesco Mark W.M.W., Scott K.S.K. Holland Scott K.S.K., Jerzy P.J.P. Szaflarski Jerzy P.J.P., Simultaneous EEG/Functional Magnetic Resonance Imaging at 4 Tesla: Correlates of Brain Activity to Spontaneous Alpha Rhythm During Relaxation, „Journal of Clinical Neurophysiology”, 25 (5), 2008, s. 255–264, DOI: 10.1097/WNP.0b013e3181879d56, ISSN 0736-0258 [dostęp 2023-01-09] (ang.).

mdpi.com

Sanay Muhammad UmarS.M.U. Saeed Sanay Muhammad UmarS.M.U. i inni, EEG Based Classification of Long-Term Stress Using Psychological Labeling, „Sensors”, 20 (7), 2020, s. 1886, DOI: 10.3390/s20071886, ISSN 1424-8220, PMID: 32235295, PMCID: PMC7180785 [dostęp 2023-01-09] (ang.).

nature.com

SvenS. Vanneste SvenS., Jae-JinJ.J. Song Jae-JinJ.J., Dirk DeD.D. Ridder Dirk DeD.D., Thalamocortical dysrhythmia detected by machine learning, „Nature Communications”, 9 (1), 2018, s. 1103, DOI: 10.1038/s41467-018-02820-0, ISSN 2041-1723 [dostęp 2023-01-09] (ang.).

nih.gov

ncbi.nlm.nih.gov

S J MS.J.M. Smith S J MS.J.M., EEG in the diagnosis, classification, and management of patients with epilepsy, „Journal of Neurology, Neurosurgery & Psychiatry”, 76 (suppl_2), 2005, ii2–ii7, DOI: 10.1136/jnnp.2005.069245, ISSN 0022-3050, PMID: 15961864, PMCID: PMC1765691 [dostęp 2023-01-09] (ang.).
MariosM. Adamou MariosM., TimT. Fullen TimT., Sarah L.S.L. Jones Sarah L.S.L., EEG for Diagnosis of Adult ADHD: A Systematic Review With Narrative Analysis, „Frontiers in Psychiatry”, 11, 2020, DOI: 10.3389/fpsyt.2020.00871, ISSN 1664-0640, PMID: 33192633, PMCID: PMC7477352 [dostęp 2023-01-09] .
RaymundoR. Cassani RaymundoR. i inni, Systematic Review on Resting-State EEG for Alzheimer’s Disease Diagnosis and Progression Assessment, „Disease Markers”, 2018, 2018, e5174815, DOI: 10.1155/2018/5174815, ISSN 0278-0240, PMID: 30405860, PMCID: PMC6200063 [dostęp 2023-01-09] (ang.).
ThomasT. Burns ThomasT., RameshR. Rajan RameshR., Combining complexity measures of EEG data: multiplying measures reveal previously hidden information, „F1000Research”, 4, 2015, s. 137, DOI: 10.12688/f1000research.6590.1, ISSN 2046-1402, PMID: 26594331, PMCID: PMC4648221 [dostęp 2023-01-09] (ang.).
BorísB. Burle BorísB. i inni, Spatial and temporal resolutions of EEG: Is it really black and white? A scalp current density view, „International Journal of Psychophysiology”, 97 (3), 2015, s. 210–220, DOI: 10.1016/j.ijpsycho.2015.05.004, PMID: 25979156, PMCID: PMC4548479 [dostęp 2023-01-09] (ang.).
Meryem A.M.A. Yücel Meryem A.M.A. i inni, Functional Near Infrared Spectroscopy: Enabling routine functional brain imaging, „Current Opinion in Biomedical Engineering”, 4, 2017, s. 78–86, DOI: 10.1016/j.cobme.2017.09.011, PMID: 29457144, PMCID: PMC5810962 [dostęp 2023-01-09] (ang.).
Sanay Muhammad UmarS.M.U. Saeed Sanay Muhammad UmarS.M.U. i inni, EEG Based Classification of Long-Term Stress Using Psychological Labeling, „Sensors”, 20 (7), 2020, s. 1886, DOI: 10.3390/s20071886, ISSN 1424-8220, PMID: 32235295, PMCID: PMC7180785 [dostęp 2023-01-09] (ang.).
DanielD. Hölle DanielD., JoostJ. Meekes JoostJ., Martin G.M.G. Bleichner Martin G.M.G., Mobile ear-EEG to study auditory attention in everyday life: Auditory attention in everyday life, „Behavior Research Methods”, 53 (5), 2021, s. 2025–2036, DOI: 10.3758/s13428-021-01538-0, ISSN 1554-3528, PMID: 33721208, PMCID: PMC8516794 [dostęp 2023-01-09] (ang.).
BillB. Byrom BillB. i inni, Brain Monitoring Devices in Neuroscience Clinical Research: The Potential of Remote Monitoring Using Sensors, Wearables, and Mobile Devices, „Clinical Pharmacology & Therapeutics”, 104 (1), 2018, s. 59–71, DOI: 10.1002/cpt.1077, PMID: 29574776, PMCID: PMC6032823 [dostęp 2023-01-09] (ang.).
Efstathios D.E.D. Kondylis Efstathios D.E.D. i inni, Detection of High-Frequency Oscillations by Hybrid Depth Electrodes in Standard Clinical Intracranial EEG Recordings, „Frontiers in Neurology”, 5, 2014, DOI: 10.3389/fneur.2014.00149, ISSN 1664-2295, PMID: 25147541, PMCID: PMC4123606 [dostęp 2023-01-09] .
ShingoS. Murakami ShingoS., YoshioY. Okada YoshioY., Contributions of principal neocortical neurons to magnetoencephalography and electroencephalography signals: MEG/EEG signals of neocortical neurons, „The Journal of Physiology”, 575 (3), 2006, s. 925–936, DOI: 10.1113/jphysiol.2006.105379, PMID: 16613883, PMCID: PMC1995687 [dostęp 2023-01-09] (ang.).

plos.org

dx.plos.org

ÜmitÜ. Aydin ÜmitÜ. i inni, Combined EEG/MEG Can Outperform Single Modality EEG or MEG Source Reconstruction in Presurgical Epilepsy Diagnosis, DanieleD. Marinazzo (red.), „PLOS One”, 10 (3), 2015, e0118753, DOI: 10.1371/journal.pone.0118753, ISSN 1932-6203 [dostęp 2023-01-09] (ang.).

rug.nl

ai.rug.nl

Wolpaw, J. R. (2002) Brain–computer interfaces for communication and control. Clinical Neurophysiology, 113, 767–791

springer.com

link.springer.com

DanielD. Hölle DanielD., JoostJ. Meekes JoostJ., Martin G.M.G. Bleichner Martin G.M.G., Mobile ear-EEG to study auditory attention in everyday life: Auditory attention in everyday life, „Behavior Research Methods”, 53 (5), 2021, s. 2025–2036, DOI: 10.3758/s13428-021-01538-0, ISSN 1554-3528, PMID: 33721208, PMCID: PMC8516794 [dostęp 2023-01-09] (ang.).

theguardian.com

Pete Etchells (2013) Does neuromarketing live up to the hype? The Guardian

wiley.com

onlinelibrary.wiley.com

Peter E.P.E. Clayson Peter E.P.E. i inni, Methodological reporting behavior, sample sizes, and statistical power in studies of event‐related potentials: Barriers to reproducibility and replicability, „Psychophysiology”, 56 (11), 2019, DOI: 10.1111/psyp.13437, ISSN 0048-5772 [dostęp 2023-01-09] (ang.).
H.K.H.K. Bouma H.K.H.K. i inni, The diagnostic accuracy of routine electroencephalography after a first unprovoked seizure, „European Journal of Neurology”, 23 (3), 2016, s. 455–463, DOI: 10.1111/ene.12739, ISSN 1351-5101 [dostęp 2023-01-09] (ang.).
StefanS. Debener StefanS. i inni, How about taking a low-cost, small, and wireless EEG for a walk?: EEG to go, „Psychophysiology”, 49 (11), 2012, s. 1617–1621, DOI: 10.1111/j.1469-8986.2012.01471.x [dostęp 2023-01-09] (ang.).
BillB. Byrom BillB. i inni, Brain Monitoring Devices in Neuroscience Clinical Research: The Potential of Remote Monitoring Using Sensors, Wearables, and Mobile Devices, „Clinical Pharmacology & Therapeutics”, 104 (1), 2018, s. 59–71, DOI: 10.1002/cpt.1077, PMID: 29574776, PMCID: PMC6032823 [dostęp 2023-01-09] (ang.).
ShingoS. Murakami ShingoS., YoshioY. Okada YoshioY., Contributions of principal neocortical neurons to magnetoencephalography and electroencephalography signals: MEG/EEG signals of neocortical neurons, „The Journal of Physiology”, 575 (3), 2006, s. 925–936, DOI: 10.1113/jphysiol.2006.105379, PMID: 16613883, PMCID: PMC1995687 [dostęp 2023-01-09] (ang.).
Frank R.F.R. Huang-Hellinger Frank R.F.R. i inni, Simultaneous functional magnetic resonance imaging and electrophysiological recording, „Human Brain Mapping”, 3 (1), 1995, s. 13–23, DOI: 10.1002/hbm.460030103 [dostęp 2023-01-09] (ang.).

worldcat.org

Peter E.P.E. Clayson Peter E.P.E. i inni, Methodological reporting behavior, sample sizes, and statistical power in studies of event‐related potentials: Barriers to reproducibility and replicability, „Psychophysiology”, 56 (11), 2019, DOI: 10.1111/psyp.13437, ISSN 0048-5772 [dostęp 2023-01-09] (ang.).
Marabella A.M.A. Alhambra Marabella A.M.A., Timothy P.T.P. Fowler Timothy P.T.P., Antonio A.A.A. Alhambra Antonio A.A.A., EEG Biofeedback:: A New Treatment Option for ADD/ADHD, „Journal of Neurotherapy”, 1 (2), 1995, s. 39–43, DOI: 10.1300/J184v01n02_03, ISSN 1087-4208 [dostęp 2023-01-09] (ang.).
S J MS.J.M. Smith S J MS.J.M., EEG in the diagnosis, classification, and management of patients with epilepsy, „Journal of Neurology, Neurosurgery & Psychiatry”, 76 (suppl_2), 2005, ii2–ii7, DOI: 10.1136/jnnp.2005.069245, ISSN 0022-3050, PMID: 15961864, PMCID: PMC1765691 [dostęp 2023-01-09] (ang.).
MariosM. Adamou MariosM., TimT. Fullen TimT., Sarah L.S.L. Jones Sarah L.S.L., EEG for Diagnosis of Adult ADHD: A Systematic Review With Narrative Analysis, „Frontiers in Psychiatry”, 11, 2020, DOI: 10.3389/fpsyt.2020.00871, ISSN 1664-0640, PMID: 33192633, PMCID: PMC7477352 [dostęp 2023-01-09] .
RaymundoR. Cassani RaymundoR. i inni, Systematic Review on Resting-State EEG for Alzheimer’s Disease Diagnosis and Progression Assessment, „Disease Markers”, 2018, 2018, e5174815, DOI: 10.1155/2018/5174815, ISSN 0278-0240, PMID: 30405860, PMCID: PMC6200063 [dostęp 2023-01-09] (ang.).
Elson L.E.L. So Elson L.E.L., Interictal Epileptiform Discharges in Persons Without A History of Seizures: What Do They Mean?, „Journal of Clinical Neurophysiology”, 27 (4), 2010, s. 229–238, DOI: 10.1097/WNP.0b013e3181ea42a4, ISSN 0736-0258 [dostęp 2023-01-09] (ang.).
H.K.H.K. Bouma H.K.H.K. i inni, The diagnostic accuracy of routine electroencephalography after a first unprovoked seizure, „European Journal of Neurology”, 23 (3), 2016, s. 455–463, DOI: 10.1111/ene.12739, ISSN 1351-5101 [dostęp 2023-01-09] (ang.).
ThomasT. Burns ThomasT., RameshR. Rajan RameshR., Combining complexity measures of EEG data: multiplying measures reveal previously hidden information, „F1000Research”, 4, 2015, s. 137, DOI: 10.12688/f1000research.6590.1, ISSN 2046-1402, PMID: 26594331, PMCID: PMC4648221 [dostęp 2023-01-09] (ang.).
RezaR. Abiri RezaR. i inni, A comprehensive review of EEG-based brain–computer interface paradigms, „Journal of Neural Engineering”, 16 (1), 2019, s. 011001, DOI: 10.1088/1741-2552/aaf12e, ISSN 1741-2560 [dostęp 2023-01-09] .
Sanay Muhammad UmarS.M.U. Saeed Sanay Muhammad UmarS.M.U. i inni, EEG Based Classification of Long-Term Stress Using Psychological Labeling, „Sensors”, 20 (7), 2020, s. 1886, DOI: 10.3390/s20071886, ISSN 1424-8220, PMID: 32235295, PMCID: PMC7180785 [dostęp 2023-01-09] (ang.).
DanielD. Hölle DanielD., JoostJ. Meekes JoostJ., Martin G.M.G. Bleichner Martin G.M.G., Mobile ear-EEG to study auditory attention in everyday life: Auditory attention in everyday life, „Behavior Research Methods”, 53 (5), 2021, s. 2025–2036, DOI: 10.3758/s13428-021-01538-0, ISSN 1554-3528, PMID: 33721208, PMCID: PMC8516794 [dostęp 2023-01-09] (ang.).
Efstathios D.E.D. Kondylis Efstathios D.E.D. i inni, Detection of High-Frequency Oscillations by Hybrid Depth Electrodes in Standard Clinical Intracranial EEG Recordings, „Frontiers in Neurology”, 5, 2014, DOI: 10.3389/fneur.2014.00149, ISSN 1664-2295, PMID: 25147541, PMCID: PMC4123606 [dostęp 2023-01-09] .
Mark W.M.W. DiFrancesco Mark W.M.W., Scott K.S.K. Holland Scott K.S.K., Jerzy P.J.P. Szaflarski Jerzy P.J.P., Simultaneous EEG/Functional Magnetic Resonance Imaging at 4 Tesla: Correlates of Brain Activity to Spontaneous Alpha Rhythm During Relaxation, „Journal of Clinical Neurophysiology”, 25 (5), 2008, s. 255–264, DOI: 10.1097/WNP.0b013e3181879d56, ISSN 0736-0258 [dostęp 2023-01-09] (ang.).
ÜmitÜ. Aydin ÜmitÜ. i inni, Combined EEG/MEG Can Outperform Single Modality EEG or MEG Source Reconstruction in Presurgical Epilepsy Diagnosis, DanieleD. Marinazzo (red.), „PLOS One”, 10 (3), 2015, e0118753, DOI: 10.1371/journal.pone.0118753, ISSN 1932-6203 [dostęp 2023-01-09] (ang.).
SvenS. Vanneste SvenS., Jae-JinJ.J. Song Jae-JinJ.J., Dirk DeD.D. Ridder Dirk DeD.D., Thalamocortical dysrhythmia detected by machine learning, „Nature Communications”, 9 (1), 2018, s. 1103, DOI: 10.1038/s41467-018-02820-0, ISSN 2041-1723 [dostęp 2023-01-09] (ang.).