Document Detail

Complexity of spontaneous brain activity in mental disorders.
MedLine Citation:
PMID:  22579532     Owner:  NLM     Status:  Publisher    
Recent reports of functional and anatomical studies have provided evidence that aberrant neural connectivity lies at the heart of many mental disorders. Information related to neural networks has elucidated the nonlinear dynamical complexity in brain signals over a range of temporal scales. The recent advent of nonlinear analytic methods, which have served for the quantitative description of the brain signal complexity, has provided new insights into aberrant neural connectivity in many mental disorders. Although many studies have underpinned aberrant neural connectivity, findings related to complexity behavior are still inconsistent. This inconsistency might result from (i) heterogeneity in mental disorders, (ii) analytical issues, (iii) interference of typical development and aging. First, most mental disorders are heterogeneous in their clinical feature or intrinsic pathological mechanisms. Second, neurophysiologic output signals from complex brain connectivity might be characterized with multiple time scales or frequencies. Finally, age-related brain complexity changes must be considered when investigating pathological brain because typical brain complexity is not constant across generations. Future systematic studies addressing these issues will greatly expand our knowledge of neural connections and dynamics related to mental disorders.
Tetsuya Takahashi
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-5-8
Journal Detail:
Title:  Progress in neuro-psychopharmacology & biological psychiatry     Volume:  -     ISSN:  1878-4216     ISO Abbreviation:  -     Publication Date:  2012 May 
Date Detail:
Created Date:  2012-5-14     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8211617     Medline TA:  Prog Neuropsychopharmacol Biol Psychiatry     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012. Published by Elsevier Inc.
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