Literature DB >> 22507763

Complexity and schizophrenia.

Alberto Fernández1, Carlos Gómez, Roberto Hornero, Juan José López-Ibor.   

Abstract

Complexity estimators have been broadly utilized in schizophrenia investigation. Early studies reported increased complexity in schizophrenia patients, associated with a higher variability or "irregularity" of their brain signals. However, further investigations showed reduced complexities, thus introducing a clear divergence. Nowadays, both increased and reduced complexity values are reported. The explanation of such divergence is a critical issue to understand the role of complexity measures in schizophrenia research. Considering previous arguments a complementary hypothesis is advanced: if the increased irregularity of schizophrenia patients' neurophysiological activity is assumed, a "natural" tendency to increased complexity in EEG and MEG scans should be expected, probably reflecting an abnormal neuronal firing pattern in some critical regions such as the frontal lobes. This "natural" tendency to increased complexity might be modulated by the interaction of three main factors: medication effects, symptomatology, and age effects. Therefore, young, medication-naïve, and highly symptomatic (positive symptoms) patients are expected to exhibit increased complexities. More importantly, the investigation of these interacting factors by means of complexity estimators might help to elucidate some of the neuropathological processes involved in schizophrenia.
Copyright © 2012 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  AMI; Age; ApEn; CMI; CN; CPT; Complexity; CΩ; D2; EEG; FD; HFD; Higuchi's fractal dimension; L1; LZC; Lempel-Ziv complexity; MEG; MI; MSE; Negative symptoms; Neuroleptics; Positive symptoms; SampEn; Schizophrenia; approximate entropy; auto mutual information; continuous performance test; correlation dimension; cross mutual information; electroencephalography; first Lyapunov exponent; fractal dimension; magnetoencephalography; multiscale entropy; mutual information; neural complexity; omega complexity; sample entropy.

Mesh:

Year:  2012        PMID: 22507763     DOI: 10.1016/j.pnpbp.2012.03.015

Source DB:  PubMed          Journal:  Prog Neuropsychopharmacol Biol Psychiatry        ISSN: 0278-5846            Impact factor:   5.067


  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

3.  Decreased spectral entropy modulation in patients with schizophrenia during a P300 task.

Authors:  Alejandro Bachiller; Alvaro Díez; Vanessa Suazo; Cristina Domínguez; Marta Ayuso; Roberto Hornero; Jesús Poza; Vicente Molina
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2014-02-05       Impact factor: 5.270

4.  Functional Connectivity and Complexity in the Phenomenological Model of Mild Cognitive-Impaired Alzheimer's Disease.

Authors:  Surya Das; Subha D Puthankattil
Journal:  Front Comput Neurosci       Date:  2022-06-06       Impact factor: 3.387

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

Review 6.  Moment-to-moment brain signal variability: a next frontier in human brain mapping?

Authors:  Douglas D Garrett; Gregory R Samanez-Larkin; Stuart W S MacDonald; Ulman Lindenberger; Anthony R McIntosh; Cheryl L Grady
Journal:  Neurosci Biobehav Rev       Date:  2013-03-01       Impact factor: 8.989

7.  Electroencephalogram Microstate Abnormalities in Early-Course Psychosis.

Authors:  Michael Murphy; Robert Stickgold; Dost Öngür
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2019-07-25

8.  Contrasting variability patterns in the default mode and sensorimotor networks balance in bipolar depression and mania.

Authors:  Matteo Martino; Paola Magioncalda; Zirui Huang; Benedetta Conio; Niccolò Piaggio; Niall W Duncan; Giulio Rocchi; Andrea Escelsior; Valentina Marozzi; Annemarie Wolff; Matilde Inglese; Mario Amore; Georg Northoff
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-11       Impact factor: 11.205

9.  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

10.  Spectral asymmetry and Higuchi's fractal dimension measures of depression electroencephalogram.

Authors:  Maie Bachmann; Jaanus Lass; Anna Suhhova; Hiie Hinrikus
Journal:  Comput Math Methods Med       Date:  2013-10-22       Impact factor: 2.238

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