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EEG-based investigation of brain connectivity changes in psychotic patients undergoing the primitive expression form of dance therapy: a methodological pilot study

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Abstract

Primitive expression (PE) is a form of dance therapy (DT) that involves an interaction of ethologically and socially based forms which are supplied for re-enactment. There exist very few studies of DT applications including in their protocol the measurement of neurophysiological parameters. The present pilot study investigates the use of the correlation coefficient (ρ) and mutual information (MI), and of novel measures extracted from ρ and MI, on electroencephalographic (EEG) data recorded in patients with schizophrenia while they undergo PE DT, in order to expand the set of neurophysiology-based approaches for quantifying possible DT effects, using parameters that might provide insights about any potential brain connectivity changes in these patients during the PE DT process. Indication is provided for an acute potentiation effect, apparent at late-stage PE DT, on the inter-hemispheric connectivity in frontal areas, as well as for attenuation of the inter-hemispheric connectivity of left frontal and right central areas and for potentiation of the intra-hemispheric connectivity of frontal and central areas, bilaterally, in the transition from early to late-stage PE DT. This pilot study indicates that by using EEG connectivity measures based on ρ and MI, the set of useful neurophysiology-based approaches for quantifying possible DT effects is expanded. In the framework of the present study, the causes of the observed connectivity changes cannot be attributed with certainty to PE DT, but indications are provided that these measures may contribute to a detailed assessment of neurophysiological mechanisms possibly being affected by this therapeutic process.

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References

  • Albano AM, Cellucci CJ, Harner RJ, Rapp PE (2000) Optimization of embedding parameters for prediction of seizure onset with mutual information. In: Mees AI (ed) Nonlinear dynamics and statistics. Birkhaeuser, Boston, pp 435–451

    Google Scholar 

  • Alonso JF, Mananas MA, Romero S, Hoyer D, Riba J, Barbanoj MJ (2010) Drug effect on EEG connectivity assessed by linear and nonlinear couplings. Hum Brain Mapp 31:487–497

    PubMed  Google Scholar 

  • American Dance Therapy Association (2009) About dance/movement therapy. American Dance Therapy Association. http://www.adta.org/. Accessed 20 October 2014

  • Andrzejak RG, Lehnertz K, Mormann F, Rieke C, David P, Elger CE (2001) Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state. Phys Rev E 64:061907

    Article  CAS  Google Scholar 

  • Bendat J, Piersol A (1986) Random data. Analysis and measurement procedures, 2nd edn. Wiley, New York

  • Berrol CF, Ooi WL, Katz SS (1997) Dance/movement therapy with older adults who have sustained neurological insult: a demonstration project. Am J Dance Th 19:135–160

    Article  Google Scholar 

  • Bhattacharyya S, Biswas A, Mukherjee J, Majumdar AK, Majumdar B, Mukherjee S, Singh AK (2013) Detection of artifacts from high energy bursts in neonatal EEG. Comput Biol Med 43:1804–1814

    Article  PubMed  Google Scholar 

  • Bojner-Horwitz E, Theorell T, Anderberg UM (2003) Dance/movement therapy and changes in stress-related hormones: a study of fibromyalgia patients with video-interpretation. Art Psychother 30:255–264

    Article  Google Scholar 

  • Bonita JD, Ambolode LCC II, Rosenberg BM, Cellucci CJ, Watanabe TA, Rapp PE, Albano AM (2014) Time domain measures of inter-channel EEG correlations: a comparison of linear, nonparametric and nonlinear measures. Cogn Neurodyn 8:1–15

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Cao C, Slobounov S (2010) Alteration of cortical functional connectivity as a result of traumatic brain injury revealed by graph theory, ICA and sLORETA analyses of EEG signals. IEEE T Neur Sys Reh 18:11–19

    Article  CAS  Google Scholar 

  • Cellucci CJ, Albano AM, Rapp PE (2005) Statistical validation of mutual information calculations: comparison of alternative numerical algorithms. Phys Rev E 71:066208

    Article  CAS  Google Scholar 

  • Chen F, Xu J, Gu F, Yu X, Meng X, Qiu Z (2000) Dynamic processes of information transmission complexity in human brains. Biol Cybern 83:355–366

    Article  CAS  PubMed  Google Scholar 

  • Cruz AV, Mallet N, Magill PJ, Brown P, Averbeck BB (2011) Effects of dopamine depletion on information flow between the subthalamic nucleus and external globus pallidus. J Neurophysiol 106:2012–2023

    Article  PubMed Central  PubMed  Google Scholar 

  • Dosamantes E (1990) Movement and psychodynamic pattern changes in long-term dance/movement therapy groups. Am J Dance Th 12:27–44

    Article  Google Scholar 

  • Duckrow RB, Albano AM (2003) Comment on ‘‘Performance of different synchronization measures in real data: a case study on electroencephalographic signals’’. Phys Rev E 67:063901–1–063901-3

    Article  Google Scholar 

  • Fernandes AD, Gloor GB (2010) Mutual information is critically dependent on prior assumptions: would the correct estimate of mutual information please identify itself? Bioinformatics 26:1135–1139

    Article  CAS  PubMed  Google Scholar 

  • Ford JM, Mathalon DH, Whitfield S, Faustman WO, Roth WT (2002) Reduced communication between frontal and temporal lobes during talking in schizophrenia. Biol Psychiatry 51:485–492

    Article  PubMed  Google Scholar 

  • Fraser AM, Swinney HL (1986) Independent coordinates for strange attractors from mutual information. Phys Rev A 33:1134–1140

    Article  PubMed  Google Scholar 

  • French CC, Beaumont JG (1984) A critical review of EEG coherence studies of hemisphere function. Int J Psychophysiol 1:241–254

    Article  CAS  PubMed  Google Scholar 

  • Gardner WA (1992) A unifying view of coherence in signal processing. Signal Process 29:113–140

    Article  Google Scholar 

  • Gersch W, Yonemoto J, Naitoh P (1977) Automatic classification of multivariate EEGs using an amount of information measure and the eigenvalues of parametric time series model features. Comput Biomed Res 10:297–318

    Article  CAS  PubMed  Google Scholar 

  • Gordon E, Palmer DM, Cooper N (2010) EEG alpha asymmetry in schizophrenia, depression, PTSD, panic disorder, ADHD and conduct disorder. Clin EEG Neurosci 41:178–183

    Article  PubMed  Google Scholar 

  • Gray CM, Singer W (1989) Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex. Proc Natl Acad Sci 86:1698–1702

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Higashima M, Takeda T, Kikuchi M, Nagasawa T, Koshino Y (2006) Functional connectivity between hemispheres and schizophrenic symptoms: a longitudinal study of interhemispheric EEG coherence in patients with acute exacerbations of schizophrenia. Clin EEG Neurosci 37:10–15

    Article  PubMed  Google Scholar 

  • Huang X (2001) The Use of the Average Amount of Mutual Information (AAMI) as a Signal Similarity Index. Master’s Thesis, University of Houston

  • Huseman JAS (1986) Histogram estimators of bivariate densities. Doctoral Dissertation, Rice University, Houston

  • Jeong J, Kim DJ, Chae JH, Kim SY, Ko HJ, Paik IH (1998) Nonlinear analysis of the EEG of schizophrenics with optimal embedding dimension. Med Eng Phys 20:669–676

    Article  CAS  PubMed  Google Scholar 

  • Jeong J, Gore JC, Peterson BS (2001) Mutual information analysis of the EEG in patients with Alzheimer’s disease. Clin Neurophysiol 112:827–835

    Article  CAS  PubMed  Google Scholar 

  • Jeong YJ, Hong SC, Myeong SL, Park MC, Kim YK, Suh CM (2005) Dance movement therapy improves emotional responses and modulates neurohormones in adolescents with mild depression. Int J Neurosci 115:1711–1720

    Article  CAS  PubMed  Google Scholar 

  • Kolmogorov A (1968) Logical basis for information theory and probability theory. IEEE T Inform Theory 14:662–664

    Article  Google Scholar 

  • Lawhern V, Hairston WD, McDowell K, Westerfield M, Robbins K (2012) Detection and classification of subject-generated artifacts in EEG signals using autoregressive models. J Neurosci Meth 208:181–189

    Article  Google Scholar 

  • Le C (2003) Introductory biostatistics. Wiley, Hoboken

    Book  Google Scholar 

  • Lee JPS, Kim HS, Kim CY (2008) Clinical application of dance therapy in psychiatric outpatients with schizophrenia. J Korean Neuropsychiatr Assoc 47:279–285

    Google Scholar 

  • Ma C, Pan X, Wang R, Sakagami M (2013) Estimating causal interaction between prefrontal cortex and striatum by transfer entropy. Cogn Neurodyn 7:253–261

    Article  PubMed Central  PubMed  Google Scholar 

  • Madulara MD, Francisco PAD, Nawang S, Arogancia DC, Cellucci CJ, Rapp PE, Albano AM (2012) EEG transfer entropy tracks changes of information transfer on the onset of vision. Int J Mod Phys 17:9–18

    Google Scholar 

  • Manganotti P, Gerloff C, Toro C, Katsuta H, Sadato N, Zhuang P, Leocani L, Hallett M (1998) Task-related coherence and task-related spectral power changes during sequential finger movements. Electroen Clin Neuro 109:50–62

    CAS  Google Scholar 

  • Margariti A (2012) Results of the primitive expression form of dance therapy in a psychiatric population. Doctoral Dissertation, University of Peloponnese, Nafplion, Greece

  • Margariti A, Ventouras E (2012) Quantification of changes in behavior and in the inter and intra-hemispheric EEG. 4th European Congress of the International Neuropsychiatric Association, Athens, Greece

  • Margariti A, Ktonas P, Hondraki P, Daskalopoulou E, Kyriakopoulos G, Economou NT, Tsekou H, Paparrigopoulos T, Barbousi V, Vaslamatzis G (2012) An application of the primitive expression form of dance therapy in a psychiatric population. Art Psychother 39:95–101

    Article  Google Scholar 

  • Mars NJI, van Arragon GW (1982) Time delay estimation in non-linear systems using average amount of mutual information analysis. Signal Process 4:139–153

    Article  Google Scholar 

  • Merrin EL, Floyd TC, Fein G (1989) EEG coherence in unmedicated schizophrenic patients. Biol Psychiatry 25:60–66

    Article  CAS  PubMed  Google Scholar 

  • Meyer-Lindenberg A, Bauer U, Krieger S, Lis S, Vehmeyer K, Schuler G, Gallhofer B (1998) The topography of non-linear cortical dynamics at rest, in mental calculation and moving shape perception. Brain Topogr 10:291–299

    Article  CAS  PubMed  Google Scholar 

  • Moddemeijer R (1989) On estimation of entropy and mutual information of continuous distributions. Signal Process 16:233–248

    Article  Google Scholar 

  • Moddemeijer R (1997) The variance of the mutual information estimator. Technical Report CS-R9701, University of Groningen, The Netherlands

  • Morrison-Stewart SL, Velikonja D, Corning WC, Williamson P (1996) Aberrant interhemispheric alpha coherence on electroencephalography in schizophrenic patients during activation tasks. Psychol Med 26:605–612

    Article  CAS  PubMed  Google Scholar 

  • Na SH, Jin SH, Kim SY, Ham BJ (2002) EEG in schizophrenic patients: mutual information analysis. Clin Neurophysiol 113:1954–1960

    Article  PubMed  Google Scholar 

  • Na SH, Jin SH, Kim SY (2006) The effects of total sleep deprivation on brain functional organization: mutual information analysis of waking human EEG. Int J Psychophysiol 62:238–242

    Article  PubMed  Google Scholar 

  • Nunez PL, Srinivasan R, Westdorp AF, Wijesinghe RS, Tucker DM, Silberstein RB, Cadusch PJ (1997) EEG coherency. I: statistics, reference electrode, volume conduction, laplacians, cortical imaging, and interpretation at multiple scales. Electroen Clin Neuro 103:499–515

    Article  CAS  Google Scholar 

  • Pritchard WS, Duke DW, Krieble KK (1995) Dimensional analysis of resting human EEG. II: surrogate-data testing indicates nonlinearity but not low-dimensional chaos. Psychophysiology 32:486–491

    Article  CAS  PubMed  Google Scholar 

  • Quian Quiroga R, Kraskov A, Kreuz T, Grassberger P (2002) Performance of different synchronization measures in real data: a case study on electroencephalographic signals. Phys Rev E 65:041903–1–041903-13

    Article  Google Scholar 

  • Reilly EL (1999) EEG recording and the operation of the apparatus. In: Niedermeyer E, Lopes Da Silva F (eds) Electroencephalography, basic principles, clinical applications, and related fields, (4th Ed.). Williams & Wilkins, Baltimore, pp. 142–143

  • Röhricht F, Papadopoulos N, Holden S, Clarke T, Priebe S (2011) Therapeutic processes and clinical outcomes of body psychotherapy in chronic schizophrenia—an open clinical trial. Art Psychother 38:196–203

    Article  Google Scholar 

  • Schott-Billmann F (1985) Possession, Danse et Therapie. Sand, Paris

    Google Scholar 

  • Schott-Billmann F (1997) Quand la Danse Guerit. La Recherche en Danse, Paris

    Google Scholar 

  • Shannon C (1948) A mathematical theory of communication. Bell Systems Tech J 27(379–423):623–656

    Article  Google Scholar 

  • Shao SY, Shen KQ, Ong CJ, Wilder-Smith E, Li XP (2009) Automatic EEG artifact removal: a weighted support vector machine approach with error correction. IEEE Trans Biomed Eng 56:336–344

    Article  PubMed  Google Scholar 

  • Shaw JC, Colter N, Resek G (1983) EEG coherence, lateral preference and schizophrenia. Psychol Med 13:299–306

    Article  CAS  PubMed  Google Scholar 

  • Sritharan A, Line P, Sergejew A, Silberstein R, Egan G, Copolov D (2005) EEG coherence measures during auditory hallucinations in schizophrenia. Psychiat Res 136:189–200

    Article  Google Scholar 

  • Stam CJ, Jones BF, Manshanden I, van Cappellen van Walsum AM, Montez T, Verbunt JP, de Munck JC, van Dijk BW, Berendse HW, Scheltens P (2006) Magnetoencephalographic examination of resting-state functional connectivity in Alzheimer’s disease. Neuroimage 32:1335–1344

  • Stam CJ, Nolte G, Daffertshofer A (2007) Phase lag index: assessment of functional connectivity from multichannel EEG and MEG with diminished bias from common sources. Hum Brain Mapp 28:1178–1193

    Article  PubMed  Google Scholar 

  • Steuer R, Kurths J, Daub CO, Weise J, Selbig J (2002) The mutual information: detecting and evaluating dependencies between variables. Bioinformatics 18:S231–S240

    Article  PubMed  Google Scholar 

  • Tauscher J, Fischer P, Neumeister A, Rappelsberger P, Kasper S (1998) Low frontal electroencephalographic coherence in neuroleptic-free schizophrenic patients. Biol Psychiat 44:438–447

    Article  CAS  PubMed  Google Scholar 

  • Thatcher RW, Krause PJ, Hrybyk M (1986) Cortico-cortical associations and EEG coherence: a two-compartmental model. Electroen Clin Neuro 64:123–143

    Article  CAS  Google Scholar 

  • van Bergen R (1986) A discrete mutual information estimator of continuous signals. Master’s Thesis, Twente University, Enschede, The Netherlands

  • Vastano JA, Swinney HL (1988) Information transport in spatiotemporal systems. Phys Rev Lett 60:1773–1776

    Article  PubMed  Google Scholar 

  • Wada Y, Nanbu Y, Kikuchi M, Koshino Y, Hashimoto T (1998) Aberrant functional organization in schizophrenia: analysis of EEG coherence during rest and photic stimulation in drug-naive patients. Neuropsychobiology 38:63–69

    Article  CAS  PubMed  Google Scholar 

  • Wilmer A, de Lussanet MHE, Lappe M (2010) A method for the estimation of functional brain connectivity from time-series data. Cogn Neurodyn 4:133–149

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Winterer G, Egan MF, Rädler T, Hyde T, Coppola R, Weinberger DR (2001) An association between reduced interhemispheric EEG coherence in the temporal lobe and genetic risk for schizophrenia. Schizophr Res 49:129–143

    Article  CAS  PubMed  Google Scholar 

  • Xu J, Liu ZR, Liu R, Yang QF (1997) Information transmission in human cerebral cortex. Physica D 106:363–374

    Article  Google Scholar 

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Acknowledgments

We would like to thank the 1st Psychiatric Clinic of the University of Athens Medical School, Eginition Hospital, for providing the patients and overall encouragement for this study. In particular, we appreciate the contribution of Dr. E. Daskalopoulos and of Profs. E. Aggelopoulos, D. Dikeos, A. Pehlivanidis, N. Stefanis, and G. Vaslamatzis. The support of Profs. G. Papadimitriou and C. Soldatos is especially appreciated.

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Authors and Affiliations

  1. Department of Biomedical Engineering, Technological Educational Institution of Athens, Agiou Spyridonos Str., Egaleo, Athens, 12210, Greece

    Errikos-Chaim Ventouras & Ioannis Kalatzis

  2. 1st Psychiatric Clinic, Department of Psychiatry, Medical School, Eginition Hospital, University of Athens, 74 Vas. Sophias Ave., Athens, 11528, Greece

    Alexia Margariti, Paraskevi Chondraki, Nicholas-Tiberio Economou, Hara Tsekou, Thomas Paparrigopoulos & Periklis Ktonas

  3. Department of Theater Studies, University of Peloponnese, 21, Vas. Konstantinou Str., Nafplion, 21460, Greece

    Alexia Margariti

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  1. Errikos-Chaim Ventouras
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  2. Alexia Margariti
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Correspondence to Errikos-Chaim Ventouras.

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Ventouras, EC., Margariti, A., Chondraki, P. et al. EEG-based investigation of brain connectivity changes in psychotic patients undergoing the primitive expression form of dance therapy: a methodological pilot study. Cogn Neurodyn 9, 231–248 (2015). https://doi.org/10.1007/s11571-014-9319-8

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