Opioid withdrawal results in an increased local and remote functional connectivity at EEG alpha and beta frequency bands

Withdrawal may be a natural model to study craving and compulsive drug seeking, since craving can be viewed as a conditioned dysphoric state. It has been suggested that functional connectivity between brain areas may be of major value in explaining excessive craving and compulsive drug seeking by providing essential link between psychological and biological processes. Considering that withdrawal initiates a widespread activation of cortical regions responsible for compulsive drug seeking and desire for the drug, we predict that withdrawal would result in a significant increase in functional cortical connectivity. We applied the novel operational architectonics approach that enables us to estimate both local and remote functional cortical connectivity by means of EEG structural synchrony measure. In 13 withdrawal opioid-dependent patients we found the evidence that local and remote cortical functional connectivity was indeed significantly enhanced (for both alpha and beta frequency oscillations). Additionally, statistical relationship between functional connectivity and the severity of opioid withdrawal has been found.

[1]  R. Maldonado.  Participation of Noradrenergic Pathways in the Expression of Opiate Withdrawal: Biochemical and Pharmacological Evidence , 1997, Neuroscience & Biobehavioral Reviews.

[2]  C. Joyce,et al.  Automatic removal of eye movement and blink artifacts from EEG data using blind component separation. , 2004, Psychophysiology.

[3]  W. Klimesch,et al.  The functional significance of theta and upper alpha oscillations. , 2005, Experimental psychology.

[4]  Erol Basar,et al.  Super-Synergy in the Brain: the Grandmother Percept is Manifested by Multiple oscillations , 2004, Int. J. Bifurc. Chaos.

[5]  W. Klimesch.  EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis , 1999, Brain Research Reviews.

[6]  L. Bauer.  Electroencephalographic and autonomic predictors of relapse in alcohol-dependent patients. , 1994, Alcoholism, clinical and experimental research.

[7]  M. Gossop,et al.  The development of a Short Opiate Withdrawal Scale (SOWS). , 1990, Addictive behaviors.

[8]  Bryant Howard,et al.  Topographic Imaging of Quantitative EEG in Response to Smoked Cocaine Self-Administration in Humans , 2006, Neuropsychopharmacology.

[9]  A. Wikler,et al.  Dynamics of drug dependence. Implications of a conditioning theory for research and treatment. , 1973, Archives of general psychiatry.

[10]  G. Wilson,et al.  Personality, psychopathology and brain oscillations. , 2003 .

[11]  A Ia Kaplan,et al.  [Dynamic properties of segmental characteristics of EEG alpha activity in rest conditions and during cognitive tasks]. , 2003, Zhurnal vysshei nervnoi deiatelnosti imeni I P Pavlova.

[12]  Kenneth Hugdahl,et al.  Experimental methods in neuropsychology , 2003 .

[13]  Anna G Polunina,et al.  EEG spectral power and mean frequencies in early heroin abstinence , 2004, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[14]  Alexander A. Fingelkurts,et al.  MAPPING OF BRAIN OPERATIONAL ARCHITECTONICS , 2006 .

[15]  D. Nutt.  Addiction: brain mechanisms and their treatment implications , 1996, The Lancet.

[16]  P. Dayan,et al.  A framework for mesencephalic dopamine systems based on predictive Hebbian learning , 1996, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[17]  Alexander A. Fingelkurts,et al.  Reorganization of the composition of brain oscillations and their temporal characteristics in opioid dependent patients , 2006, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[18]  L. Bauer,et al.  Predicting Relapse to Alcohol and Drug Abuse via Quantitative Electroencephalography , 2001, Neuropsychopharmacology.

[19]  M. First,et al.  Structured clinical interview for DSM-IV axis II personality disorders : SCID-II , 1997 .

[20]  Jonathan D. Cohen,et al.  On the Control of Control: The Role of Dopamine in Regulating Prefrontal Function and Working Memory , 2007 .

[21]  A. Fingelkurts,et al.  Impaired functional connectivity at EEG alpha and theta frequency bands in major depression , 2007, Human brain mapping.

[22]  G. Koob,et al.  Plasticity of reward neurocircuitry and the 'dark side' of drug addiction , 2005, Nature Neuroscience.

[23]  Alexander A. Fingelkurts,et al.  Increased local and decreased remote functional connectivity at EEG alpha and beta frequency bands in opioid-dependent patients , 2006, Psychopharmacology.

[24]  G. Edelman,et al.  A Universe Of Consciousness: How Matter Becomes Imagination , 2000 .

[25]  Alexander A. Fingelkurts,et al.  New perspectives in pharmaco-electroencephalography , 2005, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[26]  B. Everitt,et al.  Drug Seeking Becomes Compulsive After Prolonged Cocaine Self-Administration , 2004, Science.

[27]  A. Cichocki,et al.  EEG filtering based on blind source separation (BSS) for early detection of Alzheimer's disease , 2005, Clinical Neurophysiology.

[28]  J. Strang,et al.  Lofexidine for opiate detoxification: review of recent randomised and open controlled trials. , 1999, The American journal on addictions.

[29]  E. Rolls.  A theory of hippocampal function in memory , 1996, Hippocampus.

[30]  Walter J. Freeman,et al.  Metastability, instability, and state transition in neocortex , 2005, Neural Networks.

[31]  Karl J. Friston.  The labile brain. I. Neuronal transients and nonlinear coupling. , 2000, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[32]  Richard A. Roemer,et al.  Quantitative electroencephalographic analyses in cocaine-preferring polysubstance abusers during abstinence , 1995, Psychiatry Research.

[33]  W. Klimesch,et al.  Induced alpha band power changes in the human EEG and attention , 1998, Neuroscience Letters.

[34]  A. Opstal.  Dynamic Patterns: The Self-Organization of Brain and Behavior , 1995 .

[35]  R. Wiers,et al.  Selective cognitive processing of drug cues in heroin dependence , 2000, Journal of psychopharmacology.

[36]  Mikko Sams,et al.  Cortical operational synchrony during audio–visual speech integration , 2003, Brain and Language.

[37]  Angela J. Yu,et al.  Uncertainty, Neuromodulation, and Attention , 2005, Neuron.

[38]  S. Bressler,et al.  Trial-to-trial variability of cortical evoked responses: implications for the analysis of functional connectivity , 2002, Clinical Neurophysiology.

[39]  J. Martinerie,et al.  The brainweb: Phase synchronization and large-scale integration , 2001, Nature Reviews Neuroscience.

[40]  L. Bauer.  Psychomotor and electroencephalographic sequelae of cocaine dependence. , 1996, NIDA research monograph.

[41]  Michael Öllinger,et al.  EEG and Thinking , 2009 .

[42]  A Ia Kaplan,et al.  [Analysis of the segmental structure of EEG alpha-activity in humans]. , 2002, Rossiiskii fiziologicheskii zhurnal imeni I.M. Sechenova.

[43]  T. Shippenberg,et al.  Neural Systems Underlying Opiate Addiction , 2002, The Journal of Neuroscience.

[44]  A. Fingelkurts,et al.  Operational Architectonics of the Human Brain Biopotential Field: Towards Solving the Mind-Brain Problem , 2001 .

[45]  J. Kelso,et al.  Cortical coordination dynamics and cognition , 2001, Trends in Cognitive Sciences.

[46]  P Rappelsberger,et al.  Long-range EEG synchronization during word encoding correlates with successful memory performance. , 2000, Brain research. Cognitive brain research.

[47]  G. Knyazev,et al.  Uncertainty, anxiety, and brain oscillations , 2005, Neuroscience Letters.

[48]  D. Drummond,et al.  Theories of drug craving, ancient and modern. , 2001, Addiction.

[49]  Mikko Sams,et al.  Structural (operational) synchrony of EEG alpha activity during an auditory memory task , 2003, NeuroImage.

[50]  V. Pike.  Positron-emitting radioligands for studies in vivo-probes for human psychopharmacology , 1993, Journal of psychopharmacology.

[51]  Kaplan AIa,et al.  Dynamic properties of segmental characteristics of EEG alpha activity in rest conditions and during cognitive tasks , 2003 .

[52]  J. McKay.  Studies of factors in relapse to alcohol, drug and nicotine use: a critical review of methodologies and findings. , 1999, Journal of studies on alcohol.

[53]  A. Ya. Kaplan,et al.  Topological mapping of sharp reorganization synchrony in multichannel EEG , 1997 .

[54]  A. Washton,et al.  Opiate withdrawal using lofexidine, a clonidine analogue with fewer side effects. , 1983, The Journal of clinical psychiatry.

[55]  T. McMillan,et al.  Neuropsychological deficits and opiate abuse. , 2002, Drug and alcohol dependence.

[56]  Dietrich Lehmann,et al.  Brain Electric Microstates and Cognition: The Atoms of Thought , 1990 .

[57]  J. Rabe-Jabłońska,et al.  [Affective disorders in the fourth edition of the classification of mental disorders prepared by the American Psychiatric Association -- diagnostic and statistical manual of mental disorders]. , 1993, Psychiatria polska.

[58]  Walter J Freeman,et al.  Neurodynamic Models of Brain in Psychiatry , 2003, Neuropsychopharmacology.

[59]  Alexander A. Fingelkurts,et al.  Local and remote functional connectivity of neocortex under the inhibition influence , 2004, NeuroImage.

[60]  Gavan Lintern,et al.  Dynamic patterns: The self-organization of brain and behavior , 1997, Complex.

[61]  Alexander A. Fingelkurts,et al.  Nonstationary nature of the brain activity as revealed by EEG/MEG: Methodological, practical and conceptual challenges , 2005, Signal Process..

[62]  Tatiana Foroud,et al.  Linkage disequilibrium between the beta frequency of the human EEG and a GABAA receptor gene locus , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[63]  H. Petsche,et al.  Probability mapping: Power and coherence analyses of cognitive processes , 2005, Brain Topography.

[64]  John R. Terry,et al.  Topographic Organization of Nonlinear Interdependence in Multichannel Human EEG , 2002, NeuroImage.

[65]  O. Razoumnikova,et al.  Functional organization of different brain areas during convergent and divergent thinking: an EEG investigation. , 2000, Brain research. Cognitive brain research.

[66]  Erkki Oja,et al.  Independent Component Analysis , 2001 .

[67]  Ingmar H. A. Franken,et al.  Drug craving and addiction: integrating psychological and neuropsychopharmacological approaches , 2003, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[68]  A. Fingelkurts,et al.  Functional connectivity in the brain—is it an elusive concept? , 2005, Neuroscience & Biobehavioral Reviews.

[69]  Leslie S. Prichep,et al.  Machinery of the Mind , 1990 .

[70]  E G Cape,et al.  Differential Modulation of High-Frequency γ-Electroencephalogram Activity and Sleep–Wake State by Noradrenaline and Serotonin Microinjections into the Region of Cholinergic Basalis Neurons , 1998, The Journal of Neuroscience.

[71]  S. L. Shishkin,et al.  Application of the change-point analysis to the investigation of the brain’s electrical activity , 2000 .

[72]  Karl J. Friston,et al.  Functional Connectivity: The Principal-Component Analysis of Large (PET) Data Sets , 1993, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[73]  B. E. Brodsky,et al.  Non-Parametric Statistical Diagnosis: Problems and Methods , 2000 .

[74]  S. Bressler.  Understanding Cognition Through Large-Scale Cortical Networks , 2002 .

[75]  Cornelis J. Stam,et al.  Electroencephalographic Power and Coherence Analyses Suggest Altered Brain Function in Abstinent Male Heroin-Dependent Patients , 2004, Neuropsychobiology.

[76]  Bauer Lo.  PSYCHOMOTOR AND ELECTROENCEPHALOGRAPHIC SEQUELAE OF COCAINE DEPENDENCE , 1996 .

[77]  Jonathan D. Cohen,et al.  An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance. , 2005, Annual review of neuroscience.

[78]  M. First,et al.  Structured clinical interview for DSM-IV axis I disorders : SCID-I : clinical version : scoresheet , 1997 .

[79]  A. Fingelkurts,et al.  MAKING COMPLEXITY SIMPLER: MULTIVARIABILITY AND METASTABILITY IN THE BRAIN , 2004, The International journal of neuroscience.

[80]  J Röschke,et al.  EEG analysis with nonlinear deterministic and stochastic methods: a combined strategy. , 2000, Acta neurobiologiae experimentalis.

[81]  P. Nunez.  Toward a quantitative description of large-scale neocortical dynamic function and EEG , 2000, Behavioral and Brain Sciences.

[82]  Alexander A. Fingelkurts,et al.  Timing in cognition and EEG brain dynamics: discreteness versus continuity , 2006, Cognitive Processing.

[83]  H Petsche,et al.  Synchronization between temporal and parietal cortex during multimodal object processing in man. , 1999, Cerebral cortex.

[84]  A. von Stein,et al.  Different frequencies for different scales of cortical integration: from local gamma to long range alpha/theta synchronization. , 2000, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[85]  C. Stam,et al.  Nonlinear synchronization in EEG and whole‐head MEG recordings of healthy subjects , 2003, Human brain mapping.