Literature DB >> 21592856

Lempel-Ziv complexity in schizophrenia: a MEG study.

Alberto Fernández1, María-Inés López-Ibor, Agustín Turrero, Juan-Matías Santos, María-Dolores Morón, Roberto Hornero, Carlos Gómez, María Andreina Méndez, Tomás Ortiz, Juan José López-Ibor.   

Abstract

OBJECTIVE: The neurodevelopmental-neurodegenerative debate is a basic issue in the field of the neuropathological basis of schizophrenia (SCH). Neurophysiological techniques have been scarcely involved in such debate, but nonlinear analysis methods may contribute to it.
METHODS: Fifteen patients (age range 23-42 years) matching DSM IV-TR criteria for SCH, and 15 sex- and age-matched control subjects (age range 23-42 years) underwent a resting-state magnetoencephalographic evaluation and Lempel-Ziv complexity (LZC) scores were calculated.
RESULTS: Regression analyses indicated that LZC values were strongly dependent on age. Complexity scores increased as a function of age in controls, while SCH patients exhibited a progressive reduction of LZC values. A logistic model including LZC scores, age and the interaction of both variables allowed the classification of patients and controls with high sensitivity and specificity.
CONCLUSIONS: Results demonstrated that SCH patients failed to follow the "normal" process of complexity increase as a function of age. In addition, SCH patients exhibited a significant reduction of complexity scores as a function of age, thus paralleling the pattern observed in neurodegenerative diseases. SIGNIFICANCE: Our results support the notion of a progressive defect in SCH, which does not contradict the existence of a basic neurodevelopmental alteration.
Copyright © 2011 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 21592856     DOI: 10.1016/j.clinph.2011.04.011

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  23 in total

1.  Decreased resting-state brain activity complexity in schizophrenia characterized by both increased regularity and randomness.

Authors:  Albert C Yang; Chen-Jee Hong; Yin-Jay Liou; Kai-Lin Huang; Chu-Chung Huang; Mu-En Liu; Men-Tzung Lo; Norden E Huang; Chung-Kang Peng; Ching-Po Lin; Shih-Jen Tsai
Journal:  Hum Brain Mapp       Date:  2015-02-09       Impact factor: 5.038

2.  Neural complexity as a potential translational biomarker for psychosis.

Authors:  Brandon Hager; Albert C Yang; Roscoe Brady; Shashwath Meda; Brett Clementz; Godfrey D Pearlson; John A Sweeney; Carol Tamminga; Matcheri Keshavan
Journal:  J Affect Disord       Date:  2016-10-26       Impact factor: 4.839

Review 3.  A Brief Introduction to Magnetoencephalography (MEG) and Its Clinical Applications.

Authors:  Alfred Lenin Fred; Subbiahpillai Neelakantapillai Kumar; Ajay Kumar Haridhas; Sayantan Ghosh; Harishita Purushothaman Bhuvana; Wei Khang Jeremy Sim; Vijayaragavan Vimalan; Fredin Arun Sedly Givo; Veikko Jousmäki; Parasuraman Padmanabhan; Balázs Gulyás
Journal:  Brain Sci       Date:  2022-06-15

Review 4.  A Systematic Review on Feature Extraction in Electroencephalography-Based Diagnostics and Therapy in Attention Deficit Hyperactivity Disorder.

Authors:  Pasquale Arpaia; Attilio Covino; Loredana Cristaldi; Mirco Frosolone; Ludovica Gargiulo; Francesca Mancino; Federico Mantile; Nicola Moccaldi
Journal:  Sensors (Basel)       Date:  2022-06-29       Impact factor: 3.847

5.  The psychosis-like effects of Δ(9)-tetrahydrocannabinol are associated with increased cortical noise in healthy humans.

Authors:  Jose A Cortes-Briones; John D Cahill; Patrick D Skosnik; Daniel H Mathalon; Ashley Williams; R Andrew Sewell; Brian J Roach; Judith M Ford; Mohini Ranganathan; Deepak Cyril D'Souza
Journal:  Biol Psychiatry       Date:  2015-03-30       Impact factor: 13.382

6.  Complexity analysis of resting state magnetoencephalography activity in traumatic brain injury patients.

Authors:  Qian Luo; Duo Xu; Tyler Roskos; Jeff Stout; Lynda Kull; Xi Cheng; Diane Whitson; Erich Boomgarden; Jeffrey Gfeller; Richard D Bucholz
Journal:  J Neurotrauma       Date:  2013-08-31       Impact factor: 5.269

7.  Complexity measures in magnetoencephalography: measuring "disorder" in schizophrenia.

Authors:  Matthew J Brookes; Emma L Hall; Siân E Robson; Darren Price; Lena Palaniyappan; Elizabeth B Liddle; Peter F Liddle; Stephen E Robinson; Peter G Morris
Journal:  PLoS One       Date:  2015-04-17       Impact factor: 3.240

8.  Estimation of the cool executive function using frontal electroencephalogram signals in first-episode schizophrenia patients.

Authors:  Yi Yu; Yun Zhao; Yajing Si; Qiongqiong Ren; Wu Ren; Changqin Jing; Hongxing Zhang
Journal:  Biomed Eng Online       Date:  2016-11-25       Impact factor: 2.819

9.  Sample entropy reveals an age-related reduction in the complexity of dynamic brain.

Authors:  Yanbing Jia; Huaguang Gu; Qiang Luo
Journal:  Sci Rep       Date:  2017-08-11       Impact factor: 4.379

10.  Spatiotemporal imaging of complexity.

Authors:  Stephen E Robinson; Arnold J Mandell; Richard Coppola
Journal:  Front Comput Neurosci       Date:  2013-01-24       Impact factor: 2.380

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