Literature DB >> 21906607

On the role of fronto-striatal neural synchronization processes for response inhibition--evidence from ERP phase-synchronization analyses in pre-manifest Huntington's disease gene mutation carriers.

Christian Beste1, Vanessa Ness, Michael Falkenstein, Carsten Saft.   

Abstract

Fronto-striatal loops play an important role action selection processes, especially when discordant sensory and contextual information has to be integrated to allow adequate selection of actions. Neurodegeneration weakens neural inter-connectivity, which compromises the precision of neural synchronization processes. Yet, it is widely unknown how far changes in the precision of neural synchronization processes are induced by only slight dysfunctions of striatal neural inter-connectivity and in how far such slight changes may affect action selection processes. We investigated these processes in a sample of 25 pre-HDs and case-matched controls in a modified Go/Nogo task, while assessing neural synchronization processes by means of phase-locking factors (PLFs) as derived from event-related potentials (ERPs). The results show that pre-HDs only encounter problems in response inhibition, when discordant contextual information and sensory input have to be integrated. No deficits were evident, when response inhibition can be based on more habitual stimulus-response mappings, i.e., when contextual and sensory information were congruent. While 'habitual' action selection is unaffected by changes in striatal structures influencing reliability of neural synchronization processes, efficient 'controlled' processes of action seem to be closely dependent upon highly reliable neural synchronization processes. The neurophysiological analysis suggests that especially pre-motor inhibition processes (Nogo-N2) are affected. This was most strongly reflected in a decline in the degree of phase-locking in the Nogo-N2 range. Deficits in pre-HDs seem to emerge as a consequence of phase-locking-behavioural decoupling. Of clinical interest, declines in the precision of phase-locking depended on the amount of the individual's mutant huntingtin exposure and predicted the probability of disease manifestation in the next five years. This suggests that phase-locking parameters may prove useful in future studies evaluating a possible function as a biomarker in Huntington's disease.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21906607     DOI: 10.1016/j.neuropsychologia.2011.08.024

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  22 in total

1.  Neural Correlates of Response Inhibition in Adolescents Prospectively Predict Regular Tobacco Smoking.

Authors:  Andrey P Anokhin; Simon Golosheykin
Journal:  Dev Neuropsychol       Date:  2016 Jan-Mar       Impact factor: 2.253

2.  Striatal GABA-MRS predicts response inhibition performance and its cortical electrophysiological correlates.

Authors:  Clara Quetscher; Ali Yildiz; Shalmali Dharmadhikari; Benjamin Glaubitz; Tobias Schmidt-Wilcke; Ulrike Dydak; Christian Beste
Journal:  Brain Struct Funct       Date:  2014-08-26       Impact factor: 3.270

3.  On the dependence of response inhibition processes on sensory modality.

Authors:  Benjamin Bodmer; Christian Beste
Journal:  Hum Brain Mapp       Date:  2017-01-03       Impact factor: 5.038

4.  Disruption of response inhibition circuits in prodromal Huntington disease.

Authors:  Julia A Rao; Deborah L Harrington; Sally Durgerian; Christine Reece; Lyla Mourany; Katherine Koenig; Mark J Lowe; Vincent A Magnotta; Jeffrey D Long; Hans J Johnson; Jane S Paulsen; Stephen M Rao
Journal:  Cortex       Date:  2014-06-02       Impact factor: 4.027

5.  The norepinephrine system affects specific neurophysiological subprocesses in the modulation of inhibitory control by working memory demands.

Authors:  Witold X Chmielewski; Moritz Mückschel; Tjalf Ziemssen; Christian Beste
Journal:  Hum Brain Mapp       Date:  2016-08-13       Impact factor: 5.038

6.  Distinguishing stimulus and response codes in theta oscillations in prefrontal areas during inhibitory control of automated responses.

Authors:  Moritz Mückschel; Gabriel Dippel; Christian Beste
Journal:  Hum Brain Mapp       Date:  2017-08-07       Impact factor: 5.038

7.  Single-subject prediction of response inhibition behavior by event-related potentials.

Authors:  Ann-Kathrin Stock; Florin Popescu; Andres H Neuhaus; Christian Beste
Journal:  J Neurophysiol       Date:  2015-12-16       Impact factor: 2.714

8.  Genetic influences on phase synchrony of brain oscillations supporting response inhibition.

Authors:  Viktor Müller; Andrey P Anokhin; Ulman Lindenberger
Journal:  Int J Psychophysiol       Date:  2016-06-02       Impact factor: 2.997

9.  The interplay of resting and inhibitory control-related theta-band activity depends on age.

Authors:  Charlotte Pscherer; Annet Bluschke; Moritz Mückschel; Christian Beste
Journal:  Hum Brain Mapp       Date:  2021-05-13       Impact factor: 5.038

10.  Emotional and non-emotional pathways to impulsive behavior and addiction.

Authors:  Ana Torres; Andrés Catena; Alberto Megías; Antonio Maldonado; Antonio Cándido; Antonio Verdejo-García; José C Perales
Journal:  Front Hum Neurosci       Date:  2013-02-21       Impact factor: 3.169

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