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Methods Inf Med 2010; 49(05): 484-491
DOI: 10.3414/ME09-02-0038
Special Topic – Original Articles
Schattauer GmbH

Connectivity Analysis of Somatosensory Evoked Potentials in Patients with Major Depression

L. Leistritz   *
2   Institute of Medical Statistics, Computer Sciences and Documentation, University Hospital, Friedrich-Schiller-University of Jena, Jena, Germany
,
T. Weiss   *
1   Department of Biological and Clinical Psychology, Friedrich-Schiller-University of Jena, Jena, Germany
,
J. Ionov
2   Institute of Medical Statistics, Computer Sciences and Documentation, University Hospital, Friedrich-Schiller-University of Jena, Jena, Germany
,
K.-J. Bär
3   Department of Psychiatry and Psychotherapy, University Hospital Jena, Jena, Germany
,
W. H. R. Miltner
1   Department of Biological and Clinical Psychology, Friedrich-Schiller-University of Jena, Jena, Germany
,
H. Witte
2   Institute of Medical Statistics, Computer Sciences and Documentation, University Hospital, Friedrich-Schiller-University of Jena, Jena, Germany
› Author Affiliations
Further Information

Publication History

received: 16 October 2009

accepted: 13 January 2010

Publication Date:
17 January 2018 (online)

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Summary

Objectives: Connectivity analysis was used to investigate the processing of intracutaneous stimuli and directed interactions within the pain matrix in patients with major depression (MD) and healthy controls (HCs), by means of frequency selective generalized partial directed coherence (gPDC).

Methods: Eighteen patientswithMDand 18 HCs underwent stimulations consisting of moderately painful intracutaneous electrical stimuli to the right and left middle fingers. Connectivity analysis was based on nine selected EEG electrodes.

Results: Stimulus-induced changes of the gPDC in a pre/post stimulus comparison and changes in the connectivity pattern in the post-stimulus condition were found. We could identify network changes correlating to the side stimulated, as well as differences between HCs and MD patients.

Conclusions: These data support the suggestion that pain processing in response to noxious stimulation in MD patients is different compared to healthy controls, suggesting aberrant functional connectivity. Generalized partial directed coherence is shown to be a promising method to detect changes in connectivity in both within- and between-subject designs.

Keywords

EEG - generalized partial directed coherence - major depression - connectivity analysis

* These authors contributed equally to this work.


 

  • References

  • 1 Kaminski M, Blinowska K, Szelenberger W. Topo-graphic analysis of coherence and propagation of EEG activity during sleep and wakefulness. Electroencephalogr Clin Neurophysiol 1997; 102 (03) 216-227.
    CrossrefPubMedSearch in Google Scholar
  • 2 Kaminski M, Ding MZ, Truccolo WA, Bressler SL. Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance. Biol Cybern 2001; 85 (02) 145-157.
    CrossrefPubMedSearch in Google Scholar
  • 3 Schelter B, Hellwig B, Guschlbauer B, Lücking CH, Timmer J. Application of graphical models in bilateral essential tremor. Proceedings of the 2nd European Medical and Biological Engineering Conference, Vienna, Part 2. 2002 pp 1442-1443.
    PubMedSearch in Google Scholar
  • 4 Ginter J, Blinowska KJ, Kaminski M, Durka PJ. Phase and amplitude analysis in time-frequency space – application to voluntary finger movement. J Neurosci Methods 2001; 110 1–2 113-124.
    CrossrefPubMedSearch in Google Scholar
  • 5 Korzeniewska A, Manczak M, Kaminski M, Blinowska KJ, Kasicki S. Determination of information flow direction among brain structures by a modified directed transfer function (dDTF) method. J Neurosci Methods 2003; 125 1–2 195-207.
    CrossrefPubMedSearch in Google Scholar
  • 6 Kus R, Kaminski M, Blinowska KJ. Determination of EEG activity propagation: Pair-wise versus multichannel estimate. IEEE Trans Biomed Eng 2004; 51 (09) 1501-1510.
    CrossrefPubMedSearch in Google Scholar
  • 7 Baccala LA, Sameshima K. Partial directed coherence: a new concept in neural structure determination. Biol Cybern 2001; 84 (06) 463-474.
    CrossrefPubMedSearch in Google Scholar
  • 8 Sameshima K, Baccala LA. Using partial directed coherence to describe neuronal ensemble interactions. J Neurosci Methods 1999; 94 (01) 93-103.
    CrossrefPubMedSearch in Google Scholar
  • 9 Bernasconi C, König P. On the directionality of cortical interactions studied by structural analysis of electrophysiological recordings. Biol Cybern 1999; 81 (03) 199-210.
    CrossrefPubMedSearch in Google Scholar
  • 10 Bernasconi C, von Stein A, Chiang C, Konig P. Bi-directional interactions between visual areas in the awake behaving cat. Neuroreport 2000; 11 (04) 689-692.
    CrossrefPubMedSearch in Google Scholar
  • 11 Freiwald WA, Valdes P, Bosch J, Biscay R, Jimenez JC, Rodriguez LM. et al. Testing non-linearity and directedness of interactions between neural groups in the macaque inferotemporal cortex. J Neurosci Methods 1999; 94 (01) 105-119.
    CrossrefPubMedSearch in Google Scholar
  • 12 Goebel R, Roebroeck A, Kim DS, Formisano E. Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping. Magn Reson Imaging 2003; 21 (10) 1251-1261.
    CrossrefPubMedSearch in Google Scholar
  • 13 Granger CWJ. Investigating Causal Relations by Econometric Models and Cross-Spectral Methods. Econometrica 1969; 37 (03) 424-438.
    CrossrefPubMedSearch in Google Scholar
  • 14 Hesse W, Möller E, Arnold M, Schack B. The use of time-variant EEG Granger causality for inspecting directed interdependencies of neural assemblies. J Neurosci Methods 2003; 124 (01) 27-44.
    CrossrefPubMedSearch in Google Scholar
  • 15 Triacca U. Non-causality: The role of the omitted variables. Econ Letters 1998; 60 (03) 317-320.
    CrossrefPubMedSearch in Google Scholar
  • 16 Triacca U. On the use of Granger causality to investigate the human influence on climate. Theor Appl Climatol 2001; 69 3–4 137-138.
    CrossrefPubMedSearch in Google Scholar
  • 17 Dahlhaus R, Eichler M. Causality and graphical models for multivariate time series and point processes. Proceedings of the 2nd European Medical and Biological Engineering Conference, Vienna, Part 2. 2002 pp 1430-1431.
    PubMedSearch in Google Scholar
  • 18 Eichler M, Dahlhaus R, Sandkuhler J. Partial correlation analysis for the identification of synaptic connections. Biol Cybern 2003; 89 (04) 289-302.
    CrossrefPubMedSearch in Google Scholar
  • 19 Geweke J. Measurement of Linear-Dependence and Feedback between Multiple Time-Series. J Amer Statistical Assoc 1982; 77 (378) 304-313.
    CrossrefPubMedSearch in Google Scholar
  • 20 Chavez M, Martinerie J, Le Van Quyen M. Statistical assessment of nonlinear causality: application to epileptic EEG signals. J Neurosci Methods 2003; 124 (02) 113-128.
    CrossrefPubMedSearch in Google Scholar
  • 21 Hinrichs H, Heinze HJ, Schoenfeld MA. Causal visual interactions as revealed by an information theoretic measure and f MRI. NeuroImage 2006; 31 (03) 1051-1060.
    CrossrefPubMedSearch in Google Scholar
  • 22 Schreiber T. Measuring information transfer. Physical Review Letters 2000; 85 (02) 461-464.
    CrossrefPubMedSearch in Google Scholar
  • 23 Weiss T, Hesse W, Ungureanu M, Hecht H, Leistritz L, Witte H. et al. How do brain areas communicate during the processing of noxious stimuli? An analysis of laser-evoked event-related potentials using the Granger Causality Index. J Neurophysiol 2008; 99 (05) 2220-2231.
    CrossrefPubMedSearch in Google Scholar
  • 24 Ding MZ, Bressler SL, Yang WM, Liang HL. Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: data preprocessing, model validation, and variability assessment. Biol Cybern 2000; 83 (01) 35-45.
    CrossrefPubMedSearch in Google Scholar
  • 25 Büchel C, Friston KJ. Modulation of connectivity in visual pathways by attention: Cortical interactions evaluated with structural equation modelling and f MRI. Cereb Cortex 1997; 7 (08) 768-778.
    CrossrefPubMedSearch in Google Scholar
  • 26 Fletcher P, Büchel C, Josephs O, Friston K, Dolan R. Learning-related neuronal responses in prefrontal cortex studied with functional neuroimaging. Cereb Cortex 1999; 9 (02) 168-178.
    CrossrefPubMedSearch in Google Scholar
  • 27 Penny WD, Stephan KE, Mechelli A, Friston KJ. Modelling functional integration: a comparison of structural equation and dynamic causal models. NeuroImage 2004; 23: S264-S74.
    CrossrefPubMedSearch in Google Scholar
  • 28 Hemmelmann D, Ungureanu M, Hesse W, Wustenberg T, Reichenbach JR, Witte OW. et al. Modelling and analysis of time-variant directed interrelations between brain regions based on BOLD-signals. NeuroImage 2009; 45 (03) 722-737.
    CrossrefPubMedSearch in Google Scholar
  • 29 Astolfi L, Cincotti F, Mattia D, Marciani MG, Baccala LA, Fallani FD. et al. Comparison of different cortical connectivity estimators for high-resolution EEG recordings. Hum Brain Mapp 2007; 28 (02) 143-157.
    CrossrefPubMedSearch in Google Scholar
  • 30 Banks SM, Kerns RD. Explaining high rates of depression in chronic pain: A diathesis-stress framework. Psychological Bulletin 1996; 119 (01) 95-110.
    CrossrefPubMedSearch in Google Scholar
  • 31 Currie SR, Wang J. Chronic back pain and major depression in the general Canadian population. Pain 2004; 107 1–2 54-60.
    CrossrefPubMedSearch in Google Scholar
  • 32 Corruble E, Guelfi JD. Pain complaints in depressed inpatients. Psychopathology 2000; 33: 307-309.
    CrossrefPubMedSearch in Google Scholar
  • 33 Lautenbacher S, Krieg JC. Pain perception in psychiatric disorders: a review of the literature. Journal of Psychiatric Research 1994; 28 (02) 109-122.
    CrossrefPubMedSearch in Google Scholar
  • 34 Strigo IA, Simmons AN, Matthews SC, Craig AD, Paulus MP. Association of major depressive disorder with altered functional brain response during anticipation and processing of heat pain. Arch Gen Psychiatry 2008; 65 (11) 1275-1284.
    CrossrefPubMedSearch in Google Scholar
  • 35 Klauenberg S, Maier C, Assion H-J, Hoffmann A, Krumova EK, Magerl W. et al. Depression and changed pain perception: Hints for a central dis-inhibition mechanism. Pain 2008; 140 (02) 332-343.
    CrossrefPubMedSearch in Google Scholar
  • 36 Bär K-J, Brehm S, Boettger MK, Boettger S, Wagner G, Sauer H. Pain perception in major depression depends on pain modality. Pain 2005; 117 1–2 97-103.
    CrossrefPubMedSearch in Google Scholar
  • 37 Bär K-J, Wagner G, Koschke M, Boettger S, Boettger MK, Schlösser R. et al. Increased prefrontal activation during pain perception in major depression. Biol Psychiatry 2007; 62 (11) 1281-1287.
    CrossrefPubMedSearch in Google Scholar
  • 38 Lautenbacher S, Spernal J, Schreiber W, Krieg JC. Relationship between clinical pain complaints and pain sensitivity in patients with depression and panic disorder. Psychosom Med 1999; 61 (06) 822-827.
    CrossrefPubMedSearch in Google Scholar
  • 39 First MB, Spitzer RL, Gibbon M, Williams JBW. Structured clinical interview for DSM-IV axis I disorders (SCID), clinical version. Arlington (VA, USA) American Psychiatric Publishing; 1997
    Search in Google Scholar
  • 40 Bromm B, Meier W. The intracutaneous stimulus: a new pain model for algesimetric studies. Methods and Findings in Experimental and Clinical Pharmacology 1984; 6 (07) 405-410.
    PubMedSearch in Google Scholar
  • 41 Straube T, Schmidt S, Weiss T, Mentzel H-J, Miltner WHR. Sex differences in brain activation to anticipated and experienced pain in the medial prefrontal cortex. Hum Brain Mapp 2009; 30 (02) 689-698.
    CrossrefPubMedSearch in Google Scholar
  • 42 Straube T, Schmidt S, Weiss T, Mentzel H-J, Miltner WHR. Dynamic activation of the anterior cingulate cortex during anticipatory anxiety. Neuroimage 2009; 44 (03) 975-981.
    CrossrefPubMedSearch in Google Scholar
  • 43 Weiss T, Kumpf K, Ehrhardt J, Gutberlet I, Miltner WHR. A bioadaptive approach for experimental pain research in humans using laser-evoked brain potentials. Neurosci Lett 1997; 227 (02) 95-98.
    CrossrefPubMedSearch in Google Scholar
  • 44 Baccala LA, Sameshima K, Takahashi DY. Generalized partial directed coherence. Proceedings of the 15th International Conference on Digital Signal Processing. 2007 pp 163-166.
    PubMedSearch in Google Scholar
  • 45 Brockwell PJ, Davis RA. Time series: theory and methods. 2nd ed. New York: Springer-Verlag Inc.; 1986
    Search in Google Scholar
  • 46 Sato JR, Takahashi DY, Arcuri SM, Sameshima K, Morettin PA, Baccala LA. Frequency Domain Connectivity Identification: An Application of Partial Directed Coherence in f MRI. Hum Brain Mapp 2009; 30 (02) 452-461.
    CrossrefPubMedSearch in Google Scholar
  • 47 Holm S. A Simple Sequentially Rejective Multiple Test Procedure. Scandinavian Journal of Statistics 1979; 6: 65-70.
    PubMedSearch in Google Scholar
  • 48 Rasch D. Mathematische Statistik: Eine Einführung fuer Studenten der Mathematik, Statistik, Biometrie und Naturwissenschaften. Heidelberg, Leipzig: Johann Ambrosius Barth Verlag; 1995
    Search in Google Scholar
  • 49 Bär KJ, Greiner W, Letsch A, Köbele R, Sauer H. Influence of gender and hemisperic lateralization on heat pain perception in major depression. Journal of Psychiatric Research 2003; 37: 345-353.
    CrossrefPubMedSearch in Google Scholar
  • 50 Vaitl D, Birbaumer N, Gruzelier J, Jamieson GA, Kotchoubey B, Kubler A. et al. Psychobiology of al-tered states of consciousness. Psychological Bulletin 2005; 131 (01) 98-127.
    CrossrefPubMedSearch in Google Scholar
  • 51 Searle JR. Consciousness. Annual Review of Neuroscience 2000; 23: 557-578.
    CrossrefPubMedSearch in Google Scholar
  • 52 He BJ, Raichle ME. The fMRI signal, slow cortical potential and consciousness. Trends Cogn Sci 2009; 13 (07) 302-309.
    CrossrefPubMedSearch in Google Scholar
  • 53 Gilbert CD, Sigman M. Brain states: Top-down influences in sensory processing. Neuron 2007; 54 (05) 677-696.
    CrossrefPubMedSearch in Google Scholar
  • 54 Tononi G. Consiousness as integrated information: a provisional manifesto. Biol Bull 2008; 215: 216-242.
    CrossrefPubMedSearch in Google Scholar
  • 55 Friederich M, Trippe RH, Ozcan M, Weiss T, Hecht H, Miltner WHR. Laser-evoked potentials to noxious stimulation during hypnotic analgesia and distraction of attention suggest different brain mechanisms of pain control. Psychophysiology 2001; 38 (05) 768-776.
    CrossrefPubMedSearch in Google Scholar
  • 56 Miltner WH, Weiss T. Cortical mechanisms of hypnotic pain control. In: Jamieson GA. editor. Hypnosis and Conscious States The Cognitive Neuroscience Perspective. Oxford: Oxford University Press; 2007. pp 51-66.
    Search in Google Scholar
  • 57 Davidson RJ, Hugdahl K. The Asymmetrical Brain. New York: Academic; 2006
    Search in Google Scholar
  • 58 Davidson RJ, Shackman AJ, Maxwell JS. Asymmetries in face and brain related to emotion. Trends Cogn Sci 2004; 8 (09) 389-391.
    CrossrefPubMedSearch in Google Scholar
  • 59 Davidson RJ, Lewis DA, Alloy LB, Amaral DG, Bush G, Cohen JD. et al. Neural and behavioral substrates of mood and mood regulation. Biol Psychiatry 2002; 52 (06) 478-502.
    CrossrefPubMedSearch in Google Scholar
  • 60 Davidson RJ, Pizzagalli D, Nitschke JB, Putnam K. Depression: Perspectives from affective neuro science. Annu Rev Psychol 2002; 53: 545-574.
    CrossrefPubMedSearch in Google Scholar
  • 61 Peyron R, Laurent B, Garcia-Larrea L. Functional imaging of brain responses to pain A review and meta-analysis. Neurophysiologie Clinique – Clinical Neurophysiology 2000; 30 (05) 263-288.
    PubMedSearch in Google Scholar
  • 62 Apkarian AV, Bushnell MC, Treede RD, Zubieta JK. Human brain mechanisms of pain perception and regulation in health and disease. Eur J Pain 2005; 9 (04) 463-484.
    CrossrefPubMedSearch in Google Scholar
  • 63 Weiss T, Straube T, Boettcher J, Hecht H, Spohn D, Miltner WHR. Brain activation upon selective stimulation of cutaneous C- and A[delta]-fibers. Neuroimage 2008; 41 (04) 1372-1381.
    CrossrefPubMedSearch in Google Scholar
  • 64 Valeriani M, Le Pera D, Tonali P. Characterizing somatosensory evoked potential sources with dipole models: Advantages and limitations. Muscle & Nerve 2001; 24 (03) 325-339.
    CrossrefPubMedSearch in Google Scholar
  • 65 Valeriani M, Restuccia D, Barba C, Le Pera D, Tonali P, Mauguiere F. Sources of cortical responses to painful CO2 laser skin stimulation of the hand and foot in the human brain. Clin Neurophysiol 2000; 111 (06) 1103-1112.
    CrossrefPubMedSearch in Google Scholar
  • 66 Tarkka IM, Treede R-D. Equivalent electrical source analysis of pain-related somatosensory evoked potentials elicited by a CO2 laser. J Clin Neurophysiol 1993; 10 (04) 513-519.
    CrossrefPubMedSearch in Google Scholar
  • 67 Moratti S, Rubio G, Campo P, Keil A, Ortiz T. Hypo-function of right temporoparietal cortex during emotional arousal in depression. Arch Gen Psychiatry 2008; 65 (05) 532-541.
    CrossrefPubMedSearch in Google Scholar
  • 68 Bullmore E, Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience 2009; 10 (03) 186-198.
    CrossrefPubMedSearch in Google Scholar