Literature DB >> 21624926

The mismatch negativity: an index of cognitive decline in neuropsychiatric and neurological diseases and in ageing.

Risto Näätänen1, Teija Kujala, Kairi Kreegipuu, Synnöve Carlson, Carles Escera, Torsten Baldeweg, Curtis Ponton.   

Abstract

Cognitive impairment is a core element shared by a large number of different neurological and neuropsychiatric diseases. Irrespective of their different aetiologies and symptomatologies, most appear to converge at the functional deficiency of the auditory-frontal cortex network of auditory discrimination, which indexes cognitive impairment shared by these abnormalities. This auditory-frontal cortical deficiency, and hence cognitive decline, can now be objectively measured with the mismatch negativity and its magnetic equivalent. The auditory-frontal cortical network involved seems, therefore, to play a pivotal, unifying role in the different abnormalities. It is, however, more likely that the dysfunction that can be detected with the mismatch negativity and its magnetoencephalographic equivalent manifests a more widespread brain disorder, namely, a deficient N-methyl-D-aspartate receptor function, shared by these abnormalities and accounting for most of the cognitive decline.

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Mesh:

Year:  2011        PMID: 21624926     DOI: 10.1093/brain/awr064

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  57 in total

1.  Functional features of crossmodal mismatch responses.

Authors:  Chen Zhao; Elia Valentini; Li Hu
Journal:  Exp Brain Res       Date:  2014-11-15       Impact factor: 1.972

Review 2.  The role of temporal structure in the investigation of sensory memory, auditory scene analysis, and speech perception: a healthy-aging perspective.

Authors:  Johanna Maria Rimmele; Elyse Sussman; David Poeppel
Journal:  Int J Psychophysiol       Date:  2014-06-20       Impact factor: 2.997

3.  Neurophysiological biomarkers informing the clinical neuroscience of schizophrenia: mismatch negativity and prepulse inhibition of startle.

Authors:  Gregory A Light; Neal R Swerdlow
Journal:  Curr Top Behav Neurosci       Date:  2014

Review 4.  Sensory processing in autism spectrum disorders and Fragile X syndrome-From the clinic to animal models.

Authors:  D Sinclair; B Oranje; K A Razak; S J Siegel; S Schmid
Journal:  Neurosci Biobehav Rev       Date:  2016-05-24       Impact factor: 8.989

Review 5.  Future clinical uses of neurophysiological biomarkers to predict and monitor treatment response for schizophrenia.

Authors:  Gregory A Light; Neal R Swerdlow
Journal:  Ann N Y Acad Sci       Date:  2015-03-09       Impact factor: 5.691

6.  Nonhuman primate model of schizophrenia using a noninvasive EEG method.

Authors:  Ricardo Gil-da-Costa; Gene R Stoner; Raynard Fung; Thomas D Albright
Journal:  Proc Natl Acad Sci U S A       Date:  2013-08-19       Impact factor: 11.205

7.  Using biomarkers to inform diagnosis, guide treatments and track response to interventions in psychotic illnesses.

Authors:  Veronica B Perez; Neal R Swerdlow; David L Braff; Risto Näätänen; Gregory A Light
Journal:  Biomark Med       Date:  2014       Impact factor: 2.851

8.  Mismatch negativity-like potential (MMN-like) in the subthalamic nuclei in Parkinson's disease patients.

Authors:  Eduard Minks; Pavel Jurák; Jan Chládek; Jan Chrastina; Josef Halámek; Daniel J Shaw; Martin Bareš
Journal:  J Neural Transm (Vienna)       Date:  2014-05-09       Impact factor: 3.575

9.  Atypical mismatch negativity to distressful voices associated with conduct disorder symptoms.

Authors:  An-Yi Hung; Jyrki Ahveninen; Yawei Cheng
Journal:  J Child Psychol Psychiatry       Date:  2013-05-23       Impact factor: 8.982

10.  Learning-induced neural plasticity of speech processing before birth.

Authors:  Eino Partanen; Teija Kujala; Risto Näätänen; Auli Liitola; Anke Sambeth; Minna Huotilainen
Journal:  Proc Natl Acad Sci U S A       Date:  2013-08-26       Impact factor: 11.205

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