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The Use of Physiological Signals in Brainstem/Midbrain fMRI

Brainstem and midbrain nuclei are closely linked to cognitive performance and autonomic function. To advance the localization in this area, precise functional imaging is fundamental. In this study, we used a sophisticated fMRI technique as well as physiological recordings to investigate the involvem...

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Autores principales: Schumann, Andy, Köhler, Stefanie, de la Cruz, Feliberto, Güllmar, Daniel, Reichenbach, Jürgen R., Wagner, Gerd, Bär, Karl-Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198067/
https://www.ncbi.nlm.nih.gov/pubmed/30386203
http://dx.doi.org/10.3389/fnins.2018.00718
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author Schumann, Andy
Köhler, Stefanie
de la Cruz, Feliberto
Güllmar, Daniel
Reichenbach, Jürgen R.
Wagner, Gerd
Bär, Karl-Jürgen
author_facet Schumann, Andy
Köhler, Stefanie
de la Cruz, Feliberto
Güllmar, Daniel
Reichenbach, Jürgen R.
Wagner, Gerd
Bär, Karl-Jürgen
author_sort Schumann, Andy
collection PubMed
description Brainstem and midbrain nuclei are closely linked to cognitive performance and autonomic function. To advance the localization in this area, precise functional imaging is fundamental. In this study, we used a sophisticated fMRI technique as well as physiological recordings to investigate the involvement of brainstem/midbrain nuclei in cognitive control during a Stroop task. The temporal signal-to-noise ratio (tSNR) increased due to physiological noise correction (PNC) especially in regions adjacent to arteries and cerebrospinal fluid. Within the brainstem/cerebellum template an average tSNR of 68 ± 16 was achieved after the simultaneous application of a high-resolution fMRI, specialized co-registration, and PNC. The analysis of PNC data revealed an activation of the substantia nigra in the Stroop interference contrast whereas no significant results were obtained in the midbrain or brainstem when analyzing uncorrected data. Additionally, we found that pupil size indicated the level of cognitive effort. The Stroop interference effect on pupillary responses was correlated to the effect on reaction times (R(2) = 0.464, p < 0.05). When Stroop stimuli were modulated by pupillary responses, we observed a significant activation of the LC in the Stroop interference contrast. Thus, we demonstrated the beneficial effect of PNC on data quality and statistical results when analyzing neuronal responses to a cognitive task. Parametric modulation of task events with pupillary responses improved the model of LC BOLD activations in the Stroop interference contrast.
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spelling pubmed-61980672018-11-01 The Use of Physiological Signals in Brainstem/Midbrain fMRI Schumann, Andy Köhler, Stefanie de la Cruz, Feliberto Güllmar, Daniel Reichenbach, Jürgen R. Wagner, Gerd Bär, Karl-Jürgen Front Neurosci Neuroscience Brainstem and midbrain nuclei are closely linked to cognitive performance and autonomic function. To advance the localization in this area, precise functional imaging is fundamental. In this study, we used a sophisticated fMRI technique as well as physiological recordings to investigate the involvement of brainstem/midbrain nuclei in cognitive control during a Stroop task. The temporal signal-to-noise ratio (tSNR) increased due to physiological noise correction (PNC) especially in regions adjacent to arteries and cerebrospinal fluid. Within the brainstem/cerebellum template an average tSNR of 68 ± 16 was achieved after the simultaneous application of a high-resolution fMRI, specialized co-registration, and PNC. The analysis of PNC data revealed an activation of the substantia nigra in the Stroop interference contrast whereas no significant results were obtained in the midbrain or brainstem when analyzing uncorrected data. Additionally, we found that pupil size indicated the level of cognitive effort. The Stroop interference effect on pupillary responses was correlated to the effect on reaction times (R(2) = 0.464, p < 0.05). When Stroop stimuli were modulated by pupillary responses, we observed a significant activation of the LC in the Stroop interference contrast. Thus, we demonstrated the beneficial effect of PNC on data quality and statistical results when analyzing neuronal responses to a cognitive task. Parametric modulation of task events with pupillary responses improved the model of LC BOLD activations in the Stroop interference contrast. Frontiers Media S.A. 2018-10-16 /pmc/articles/PMC6198067/ /pubmed/30386203 http://dx.doi.org/10.3389/fnins.2018.00718 Text en Copyright © 2018 Schumann, Köhler, de la Cruz, Güllmar, Reichenbach, Wagner and Bär. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Schumann, Andy
Köhler, Stefanie
de la Cruz, Feliberto
Güllmar, Daniel
Reichenbach, Jürgen R.
Wagner, Gerd
Bär, Karl-Jürgen
The Use of Physiological Signals in Brainstem/Midbrain fMRI
title The Use of Physiological Signals in Brainstem/Midbrain fMRI
title_full The Use of Physiological Signals in Brainstem/Midbrain fMRI
title_fullStr The Use of Physiological Signals in Brainstem/Midbrain fMRI
title_full_unstemmed The Use of Physiological Signals in Brainstem/Midbrain fMRI
title_short The Use of Physiological Signals in Brainstem/Midbrain fMRI
title_sort use of physiological signals in brainstem/midbrain fmri
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198067/
https://www.ncbi.nlm.nih.gov/pubmed/30386203
http://dx.doi.org/10.3389/fnins.2018.00718
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