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Items: 1 to 20 of 87

1.

Changes in the MEG background activity in patients with positive symptoms of schizophrenia: spectral analysis and impact of age.

Escudero J, Ifeachor E, Fernández A, López-Ibor JJ, Hornero R.

Physiol Meas. 2013 Feb;34(2):265-79. doi: 10.1088/0967-3334/34/2/265. Epub 2013 Jan 30.

PMID:
23363887
2.

Spectral analysis of resting state magnetoencephalogram activity in patients with bipolar disorder.

Al-Timemy AH, Fernandez A, Escudero J.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:2197-200. doi: 10.1109/EMBC.2014.6944054.

PMID:
25570422
3.

Spectral and nonlinear analyses of MEG background activity in patients with Alzheimer's disease.

Hornero R, Escudero J, Fernández A, Poza J, Gómez C.

IEEE Trans Biomed Eng. 2008 Jun;55(6):1658-65.

PMID:
18714829
4.

Analysis of spontaneous MEG activity in patients with Alzheimer's disease using spectral entropies.

Poza J, Hornero R, Abásolo D, Fernández A, Escudero J.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:6180-3.

PMID:
18003432
5.

Magnetoencephalogram blind source separation and component selection procedure to improve the diagnosis of Alzheimer's disease patients.

Escudero J, Hornero R, Abásolo D, Fernández A, Poza J.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:5437-40.

PMID:
18003241
6.

Analysis of the magnetoencephalogram background activity in Alzheimer's disease patients with auto-mutual information.

Gómez C, Hornero R, Abásolo D, Fernández A, Escudero J.

Comput Methods Programs Biomed. 2007 Sep;87(3):239-47. Epub 2007 Aug 7.

PMID:
17686545
7.

MEG connectivity analysis in patients with Alzheimer's disease using cross mutual information and spectral coherence.

Alonso JF, Poza J, Mañanas MA, Romero S, Fernández A, Hornero R.

Ann Biomed Eng. 2011 Jan;39(1):524-36. doi: 10.1007/s10439-010-0155-7. Epub 2010 Sep 8.

PMID:
20824340
8.

Artifact removal in magnetoencephalogram background activity with independent component analysis.

Escudero J, Hornero R, Abásolo D, Fernández A, López-Coronado M.

IEEE Trans Biomed Eng. 2007 Nov;54(11):1965-73.

PMID:
18018691
9.

Classification of schizophrenia with spectro-temporo-spatial MEG patterns in working memory.

Ince NF, Pellizzer G, Tewfik AH, Nelson K, Leuthold A, McClannahan K, Stephane M.

Clin Neurophysiol. 2009 Jun;120(6):1123-34. doi: 10.1016/j.clinph.2009.04.008. Epub 2009 May 20.

PMID:
19467924
10.

Lempel-Ziv complexity in schizophrenia: a MEG study.

Fernández A, López-Ibor MI, Turrero A, Santos JM, Morón MD, Hornero R, Gómez C, Méndez MA, Ortiz T, López-Ibor JJ.

Clin Neurophysiol. 2011 Nov;122(11):2227-35. doi: 10.1016/j.clinph.2011.04.011. Epub 2011 May 17.

PMID:
21592856
11.

Selection of spectro-temporal patterns in multichannel MEG with support vector machines for schizophrenia classification.

Ince NF, Goksu F, Pellizzer G, Tewfik A, Stephane M.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:3554-7. doi: 10.1109/IEMBS.2008.4649973.

PMID:
19163476
12.

Analysis of spontaneous MEG activity in Alzheimer's disease using time-frequency parameters.

Poza J, Hornero R, Escudero J, Fernandez A, Gomez C.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:5712-5. doi: 10.1109/IEMBS.2008.4650511.

PMID:
19164014
13.

Assessment of classification improvement in patients with Alzheimer's disease based on magnetoencephalogram blind source separation.

Escudero J, Hornero R, Poza J, Abásolo D, Fernández A.

Artif Intell Med. 2008 May;43(1):75-85. doi: 10.1016/j.artmed.2008.01.001. Epub 2008 Mar 10.

PMID:
18329868
14.

Blind source separation to enhance spectral and non-linear features of magnetoencephalogram recordings. Application to Alzheimer's disease.

Escudero J, Hornero R, Abásolo D, Fernández A.

Med Eng Phys. 2009 Sep;31(7):872-9. doi: 10.1016/j.medengphy.2009.04.003. Epub 2009 May 23.

PMID:
19482539
15.

Analysis of MEG recordings from Alzheimer's disease patients with sample and multiscale entropies.

Gómez C, Hornero R, Abásolo D, Fernández A, Escudero J.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:6184-7.

PMID:
18003433
16.

Slowing of oscillatory brain activity is a stable characteristic of Parkinson's disease without dementia.

Stoffers D, Bosboom JL, Deijen JB, Wolters EC, Berendse HW, Stam CJ.

Brain. 2007 Jul;130(Pt 7):1847-60. Epub 2007 Apr 5.

PMID:
17412733
17.

Regional analysis of spontaneous MEG rhythms in patients with Alzheimer's disease using spectral entropies.

Poza J, Hornero R, Escudero J, Fernández A, Sánchez CI.

Ann Biomed Eng. 2008 Jan;36(1):141-52. Epub 2007 Nov 10.

PMID:
17994279
18.

Regularity analysis of spontaneous MEG activity in Attention-Deficit/Hyperactivity Disorder.

Gómez C, Poza J, García M, Fernández A, Hornero R.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:1765-8. doi: 10.1109/IEMBS.2011.6090504.

PMID:
22254669
19.

MEG analysis in Alzheimer's disease computing approximate entropy for different frequency bands.

Gomez C, Abasolo D, Poza J, Fernandez A, Hornero R.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:2379-82. doi: 10.1109/IEMBS.2010.5627236.

PMID:
21096583
20.

Use of the Higuchi's fractal dimension for the analysis of MEG recordings from Alzheimer's disease patients.

Gómez C, Mediavilla A, Hornero R, Abásolo D, Fernández A.

Med Eng Phys. 2009 Apr;31(3):306-13. doi: 10.1016/j.medengphy.2008.06.010. Epub 2008 Aug 3.

PMID:
18676171

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