Literature DB >> 21692884

Cholinergic control of cortical network interactions enables feedback-mediated attentional modulation.

Gustavo Deco1, Alexander Thiele.   

Abstract

Attention increases our ability to detect behaviorally relevant stimuli. At the neuronal level this is supported by increased firing rates of neurons representing the attended object. In primary visual cortex an attention-mediated activity increase depends on the presence of the neuromodulator acetylcholine. Using a spiking network model of visual cortex we have investigated how acetylcholine interacts with biased feedback to enable attentional processing. Although acetylcholine affects cortical processing in a multitude of manners, we restricted our analysis to four of its main established actions. These were (i) a reduction in firing rate adaptation by reduction in M-currents (muscarinic), (ii) an increase in thalamocortical synaptic efficacy by nicotinic presynaptic receptors, (iii) a reduction in lateral interactions by muscarinic presynaptic receptors, and (iv) an increase in inhibitory drive by muscarinic receptors located on inhibitory interneurons. We found that acetylcholine contributes to feedback-mediated attentional modulation, mostly by reducing intracortical interactions and also to some extent by increasing the inhibitory drive. These findings help explain why acetylcholine is necessary for top-down-driven attentional modulation, and suggest a close interdependence of cholinergic and feedback drive in mediating cognitive function.
© 2011 The Authors. European Journal of Neuroscience © 2011 Federation of European Neuroscience Societies and Blackwell Publishing Ltd.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21692884     DOI: 10.1111/j.1460-9568.2011.07749.x

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  41 in total

1.  NMDA receptors figure it out.

Authors:  Alexander Thiele
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-25       Impact factor: 11.205

2.  Differential classical conditioning selectively heightens response gain of neural population activity in human visual cortex.

Authors:  Inkyung Song; Andreas Keil
Journal:  Psychophysiology       Date:  2014-07-01       Impact factor: 4.016

3.  Spike synchrony generated by modulatory common input through NMDA-type synapses.

Authors:  Nobuhiko Wagatsuma; Rüdiger von der Heydt; Ernst Niebur
Journal:  J Neurophysiol       Date:  2016-07-13       Impact factor: 2.714

4.  Basal forebrain contributes to default mode network regulation.

Authors:  Jayakrishnan Nair; Arndt-Lukas Klaassen; Jozsef Arato; Alexei L Vyssotski; Michael Harvey; Gregor Rainer
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-23       Impact factor: 11.205

5.  A cortical model with multi-layers to study visual attentional modulation of neurons at the synaptic level.

Authors:  Tao Zhang; Xiaochuan Pan; Xuying Xu; Rubin Wang
Journal:  Cogn Neurodyn       Date:  2019-05-23       Impact factor: 5.082

6.  Attentional modulation of neuronal variability in circuit models of cortex.

Authors:  Tatjana Kanashiro; Gabriel Koch Ocker; Marlene R Cohen; Brent Doiron
Journal:  Elife       Date:  2017-06-07       Impact factor: 8.140

Review 7.  Cortical state and attention.

Authors:  Kenneth D Harris; Alexander Thiele
Journal:  Nat Rev Neurosci       Date:  2011-08-10       Impact factor: 34.870

Review 8.  Structure and function of dual-source cholinergic modulation in early vision.

Authors:  Juliane Krueger; Anita A Disney
Journal:  J Comp Neurol       Date:  2018-12-20       Impact factor: 3.215

9.  Acetylcholine functionally reorganizes neocortical microcircuits.

Authors:  Melissa J Runfeldt; Alexander J Sadovsky; Jason N MacLean
Journal:  J Neurophysiol       Date:  2014-05-28       Impact factor: 2.714

10.  Expression of m1-type muscarinic acetylcholine receptors by parvalbumin-immunoreactive neurons in the primary visual cortex: a comparative study of rat, guinea pig, ferret, macaque, and human.

Authors:  Anita A Disney; John H Reynolds
Journal:  J Comp Neurol       Date:  2014-04-01       Impact factor: 3.215

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.