Neural correlates of voluntary breathing in humans

2003 ◽  
Vol 95 (3) ◽  
pp. 1170-1178 ◽  
Author(s):  
L. C. McKay ◽  
K. C. Evans ◽  
R. S. J. Frackowiak ◽  
D. R. Corfield
Keyword(s):  
Small Volume ◽  
A Priori ◽  
Respiratory Control ◽  
Region Of Interest ◽  
Multiple Comparisons ◽  
Functional Neuroanatomy ◽  
Functional Images ◽  
Isocapnic Hyperpnea ◽  
The Brain ◽  
Dorsal Position

To investigate the functional neuroanatomy of voluntary respiratory control, blood O2 level-dependent functional magnetic resonance imaging was performed in six healthy right-handed individuals during voluntary hyperpnea. Functional images of the whole brain were acquired during 30-s periods of spontaneous breathing alternated with 30-s periods of isocapnic hyperpnea [spontaneous vs. voluntary: tidal volume = 0.5 ± 0.01 vs. 1.3 ± 0.1 (SE) liters and breath duration = 4.0 ± 0.4 vs. 3.2 ± 0.4 (SE) s]. For the group, voluntary hyperpnea was associated with significant ( P < 0.05, corrected for multiple comparisons) neural activity bilaterally in the primary sensory and motor cortices, supplementary motor area, cerebellum, thalamus, caudate nucleus, and globus pallidum. Significant increases in activity were also identified in the medulla (corrected for multiple comparisons on the basis of a small volume correction for a priori region of interest) in a superior dorsal position ( P = 0.012). Activity within the medulla suggests that the brain stem respiratory centers may have a role in mediating the voluntary control of breathing in humans.

Cortical and subcortical morphology deficits in cerebral gray matter in patients with schizophrenia and not affected siblings

2016 ◽  
Vol 33 (S1) ◽  
pp. s249-s249
Author(s):  
F. Pastoriza ◽  
L. Galindo ◽  
A. Mané ◽  
D. Bergé ◽  
N. Pujol ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Linear Model ◽  
Cortical Thickness ◽  
A Priori ◽  
Multiple Comparisons ◽  
General Linear Model ◽  
General Linear ◽  
Group Differences ◽  
Competing Interest ◽  
The Brain

ObjectiveExplore the basis of cortical morphometry in patients with schizophrenia and non-affected siblings by Magnetic Resonance Structural analyzing cortical thickness.MethodsTwenty-nine patients with schizophrenia treated with atypical antipsychotics and clinically stable in the last 6 months were recruited. Twenty-three not affected siblings of patients with schizophrenia and 37 healthy volunteers were recruited. Magnetic Resonance Structural was performed. FreeSurfer the brain imaging software package for analysis of Cortical Thickness is used. In the analysis of group differences in cortical thickness (CT) with the general linear model (GLM), the P-value was established in 0003 following the Bonferroni correction to control for multiple comparisons (seven regions of interest a priori in each hemisphere).ResultsSignificant differences in cortical thickness between patients and healthy controls. Differences between groups were calculated by general linear model (GLM) with age and sex as covairables (Table 1).ConclusionsIn applying the correction for multiple comparisons, differences in bilateral-lateral orbitofrontal, medial orbitofrontal-right and left temporal transverse frontal cortex are significant. Our study replicates previous findings and provides further evidence of abnormalities in the cerebral cortex, particularly in the frontal and temporal regions, being characteristic of schizophrenia.Disclosure of interestThe authors have not supplied their declaration of competing interest.AcknowledgementsL. Galindo is a Rio-Hortega-fellowship-(ISC-III; CM14/00111).

scholarly journals Physiological ROI Definition by Image Subtraction

1991 ◽  
Vol 11 (1_suppl) ◽  
pp. A79-A82 ◽  
Author(s):  
Peter T. Fox
Keyword(s):  
A Priori ◽  
Region Of Interest ◽  
Image Data ◽  
Distribution Analysis ◽  
Image Subtraction ◽  
Functional Images ◽  
Analysis Strategy ◽  
Image Pixels ◽  
Numeric Data ◽  
Sensitivity Specificity

Quantitative analysis of functional images requires a strategy for reducing to tractable size the overwhelming amount of numeric data contained therein. Region-of-interest (ROI) selection is the most widely used means of image-data reduction, but it has many limitations. Spatial bias, introduced by selection of regions as being “of interest,” is probably the greatest limitation of ROI analyses. Change-distribution analysis is a new data-analysis strategy that eliminates this a priori selection bias in a way that can increase the sensitivity, specificity, and localization precision. All image pixels are surveyed for changes from the control condition. Only areas of change are sampled and contribute to statistical analysis. Change-distribution analysis has been validated for within-subject pairs of images, but it is potentially applicable in a wide variety of imaging protocols.

scholarly journals Impacts of Acute Sucralose and Glucose on Brain Activity during Food Decisions in Humans

Nutrients ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3283
Author(s):  
Xiaobei Zhang ◽  
Shan Luo ◽  
Sabrina Jones ◽  
Eustace Hsu ◽  
Kathleen A. Page ◽  
...  
Keyword(s):  
Brain Activity ◽  
Cue Reactivity ◽  
A Priori ◽  
Region Of Interest ◽  
Functional Magnetic Resonance ◽  
Frontal Pole ◽  
Flavored Water ◽  
Food Decisions ◽  
Significant Attenuation ◽  
The Brain

It is not known how acute sucralose and glucose alter signaling within the brain when individuals make decisions about available food. Here we examine this using Food Bid Task in which participants bid on visually depicted food items, while simultaneously undergoing functional Magnetic Resonance Imaging. Twenty-eight participants completed three sessions after overnight fast, distinguished only by the consumption at the start of the session of 300 mL cherry flavored water with either 75 g glucose, 0.24 g sucralose, or no other ingredient. There was a marginally significant (p = 0.05) effect of condition on bids, with 13.0% lower bids after glucose and 16.6% lower bids after sucralose (both relative to water). Across conditions, greater activity within regions a priori linked to food cue reactivity predicted higher bids, as did greater activity within the medial orbitofrontal cortex and bilateral frontal pole. There was a significant attenuation within the a priori region of interest (ROI) after sucralose compared to water (p < 0.05). Activity after glucose did not differ significantly from either of the other conditions in the ROI, but an attenuation in signal was observed in the parietal cortex, relative to the water condition. Taken together, these data suggest attenuation of central nervous system (CNS) signaling associated with food valuation after glucose and sucralose.

Cortical and subcortical control of tongue movement in humans: a functional neuroimaging study using fMRI

1999 ◽  
Vol 86 (5) ◽  
pp. 1468-1477 ◽  
Author(s):  
D. R. Corfield ◽  
K. Murphy ◽  
O. Josephs ◽  
G. R. Fink ◽  
R. S. J. Frackowiak ◽  
...  
Keyword(s):  
Brain Stem ◽  
Functional Neuroimaging ◽  
Region Of Interest ◽  
Multiple Comparisons ◽  
Tongue Movement ◽  
Planar Imaging ◽  
Blood Oxygen Level ◽  
Functional Images ◽  
Neuroimaging Study ◽  
Echo Planar

We have used voluntary tongue contraction to test whether we can image activation of the hypoglossal nuclei within the human brain stem by using functional magnetic resonance imaging (fMRI). Functional images of the whole brain were acquired in eight subjects by using T2-weighted echo planar imaging (blood oxygen level development) every 6.2 s. Sequences of images were acquired during 12 periods of 31-s “isometric” rhythmic tongue contraction alternated with 12 periods of 31-s tongue relaxation. Noise arising from cardiac- and respiratory-related movement was removed either by filtration (high pass; cutoff 120 s) or by inclusion in the statistical analysis as confounding effects of no interest. For the group, tongue contraction was associated with significant signal increases ( P < 0.05 corrected for multiple comparisons) in the sensorimotor cortex, supplementary motor area, operculum, insula, thalamus, and cerebellum. For the group and for six of eight individuals, significant signal increases were also seen within the medulla ( P < 0.001, predefined region of interest with no correction for multiple comparisons); this signal is most likely to reflect neuronal activation associated with the hypoglossal motor nuclei. The data demonstrate that fMRI can be used to detect, simultaneously, the cerebral and brain stem control of tongue movement.

scholarly journals A probabilistic atlas of the human ventral tegmental area (VTA) based on 7 Tesla MRI data

2021 ◽  
Vol 226 (4) ◽  
pp. 1155-1167 ◽  
Author(s):  
Anne C. Trutti ◽  
Laura Fontanesi ◽  
Martijn J. Mulder ◽  
Pierre-Louis Bazin ◽  
Bernhard Hommel ◽  
...  
Keyword(s):  
Ventral Tegmental Area ◽  
Region Of Interest ◽  
Reward Processing ◽  
7 Tesla ◽  
Subcortical Structures ◽  
7 Tesla Mri ◽  
Subcortical Nuclei ◽  
Ventral Tegmental ◽  
The Brain

AbstractFunctional magnetic resonance imaging (fMRI) BOLD signal is commonly localized by using neuroanatomical atlases, which can also serve for region of interest analyses. Yet, the available MRI atlases have serious limitations when it comes to imaging subcortical structures: only 7% of the 455 subcortical nuclei are captured by current atlases. This highlights the general difficulty in mapping smaller nuclei deep in the brain, which can be addressed using ultra-high field 7 Tesla (T) MRI. The ventral tegmental area (VTA) is a subcortical structure that plays a pivotal role in reward processing, learning and memory. Despite the significant interest in this nucleus in cognitive neuroscience, there are currently no available, anatomically precise VTA atlases derived from 7 T MRI data that cover the full region of the VTA. Here, we first provide a protocol for multimodal VTA imaging and delineation. We then provide a data description of a probabilistic VTA atlas based on in vivo 7 T MRI data.

scholarly journals Functional Neuroanatomy of Contextual Acquisition of Concrete and Abstract Words

2009 ◽  
Vol 21 (11) ◽  
pp. 2154-2171 ◽  
Author(s):  
Anna Mestres-Missé ◽  
Thomas F. Münte ◽  
Antoni Rodriguez-Fornells
Keyword(s):  
Native Speakers ◽  
Brain Regions ◽  
Functional Neuroanatomy ◽  
Linguistic Context ◽  
Abstract Concepts ◽  
New Words ◽  
Simulation Paradigm ◽  
Abstract Words ◽  
The Brain ◽  
Concrete Words

The meaning of a novel word can be acquired by extracting it from linguistic context. Here we simulated word learning of new words associated to concrete and abstract concepts in a variant of the human simulation paradigm that provided linguistic context information in order to characterize the brain systems involved. Native speakers of Spanish read pairs of sentences in order to derive the meaning of a new word that appeared in the terminal position of the sentences. fMRI revealed that learning the meaning associated to concrete and abstract new words was qualitatively different and recruited similar brain regions as the processing of real concrete and abstract words. In particular, learning of new concrete words selectively boosted the activation of the ventral anterior fusiform gyrus, a region driven by imageability, which has previously been implicated in the processing of concrete words.

Syntactic Dependencies as Memorized Sequences in the Brain

2005 ◽  
Vol 50 (1-4) ◽  
pp. 241-266 ◽  
Author(s):  
Yosef Grodzinsky
Keyword(s):  
Working Memory ◽  
Inferior Frontal Gyrus ◽  
Functional Neuroanatomy ◽  
Left Inferior Frontal Gyrus ◽  
Broca’S Region ◽  
Syntactic Representation ◽  
Syntactic Approach ◽  
Syntactic Relations ◽  
Syntactic Dependencies ◽  
The Brain

AbstractThe prospects of a cognitive neuroscience of syntax are considered with respect to functional neuroanatomy of two seemingly independent systems: Working Memory and syntactic representation and processing. It is proposed that these two systems are more closely related than previously supposed. In particular, it is claimed that a sentence with anaphoric dependencies involves several Working Memories, each entrusted with a different linguistic function. Components of Working Memory reside in the Left Inferior Frontal Gyrus, which is associated with Broca’s region. When lesioned, this area manifests comprehension disruptions in the ability to analyze intra-sentential dependencies, suggesting that Working Memory spans over syntactic computations. The unification of considerations regarding Working Memory with a purely syntactic approach to Broca’s regions leads to the conclusion that mechanisms that compute transformations—and no other syntactic relations—reside in this area.

scholarly journals Ventilation and neurochemical changes during µ-opioid receptor activation or blockade of excitatory receptors in the hypoglossal motor nucleus of goats

2017 ◽  
Vol 123 (6) ◽  
pp. 1532-1544 ◽  
Author(s):  
Thomas M. Langer ◽  
Suzanne E. Neumueller ◽  
Emma Crumley ◽  
Nicholas J. Burgraff ◽  
Sawan Talwar ◽  
...  
Keyword(s):  
Receptor Antagonist ◽  
Pulmonary Ventilation ◽  
Respiratory Control ◽  
Nrem Sleep ◽  
Receptor Activation ◽  
Motor Nucleus ◽  
Physiological Conditions ◽  
Neurochemical Changes ◽  
Underlying Mechanisms ◽  
The Brain

Neuromodulator interdependence posits that changes in one or more neuromodulators are compensated by changes in other modulators to maintain stability in the respiratory control network. Herein, we studied compensatory neuromodulation in the hypoglossal motor nucleus (HMN) after chronic implantation of microtubules unilaterally ( n = 5) or bilaterally ( n = 5) into the HMN. After recovery, receptor agonists or antagonists in mock cerebrospinal fluid (mCSF) were dialyzed during the awake and non-rapid eye movement (NREM) sleep states. During day studies, dialysis of the µ-opioid inhibitory receptor agonist [d-Ala2, N-MePhe4, Gly-ol]enkephalin (DAMGO; 100 µM) decreased pulmonary ventilation (V̇i), breathing frequency ( f), and genioglossus (GG) muscle activity but did not alter neuromodulators measured in the effluent mCSF. However, neither unilateral dialysis of a broad spectrum muscarinic receptor antagonist (atropine; 50 mM) nor unilateral or bilateral dialysis of a mixture of excitatory receptor antagonists altered V̇i or GG activity, but all of these did increase HMN serotonin (5-HT) levels. Finally, during night studies, DAMGO and excitatory receptor antagonist decreased ventilatory variables during NREM sleep but not during wakefulness. These findings contrast with previous dialysis studies in the ventral respiratory column (VRC) where unilateral DAMGO or atropine dialysis had no effects on breathing and bilateral DAMGO or unilateral atropine increased V̇i and f and decreased GABA or increased 5-HT, respectively. Thus we conclude that the mechanisms of compensatory neuromodulation are less robust in the HMN than in the VRC under physiological conditions in adult goats, possibly because of site differences in the underlying mechanisms governing neuromodulator release and consequently neuronal activity, and/or responsiveness of receptors to compensatory neuromodulators. NEW & NOTEWORTHY Activation of inhibitory µ-opioid receptors in the hypoglossal motor nucleus decreased ventilation under physiological conditions and did not affect neurochemicals in effluent dialyzed mock cerebral spinal fluid. These findings contrast with studies in the ventral respiratory column where unilateral [d-Ala2, N-MePhe4, Gly-ol]enkephalin (DAMGO) had no effects on ventilation and bilateral DAMGO or unilateral atropine increased ventilation and decreased GABA or increased serotonin, respectively. Our data support the hypothesis that mechanisms that govern local compensatory neuromodulation within the brain stem are site specific under physiological conditions.

scholarly journals Mapping the common and distinct neural correlates of visual, rule and motor conflict

2020 ◽  
Author(s):  
Bryony Goulding Mew ◽  
Darije Custovic ◽  
Eyal Soreq ◽  
Romy Lorenz ◽  
Ines Violante ◽  
...  
Keyword(s):  
Region Of Interest ◽  
Neural Correlates ◽  
Brain Regions ◽  
Control Mechanisms ◽  
Activation Patterns ◽  
The Common ◽  
Full Factorial ◽  
The Brain ◽  
Categorical Scale ◽  
Conflict Types

AbstractFlexible behaviour requires cognitive-control mechanisms to efficiently resolve conflict between competing information and alternative actions. Whether a global neural resource mediates all forms of conflict or this is achieved within domainspecific systems remains debated. We use a novel fMRI paradigm to orthogonally manipulate rule, response and stimulus-based conflict within a full-factorial design. Whole-brain voxelwise analyses show that activation patterns associated with these conflict types are distinct but partially overlapping within Multiple Demand Cortex (MDC), the brain regions that are most commonly active during cognitive tasks. Region of interest analysis shows that most MDC sub-regions are activated for all conflict types, but to significantly varying levels. We propose that conflict resolution is an emergent property of distributed brain networks, the functional-anatomical components of which place on a continuous, not categorical, scale from domain-specialised to domain general. MDC brain regions place towards one end of that scale but display considerable functional heterogeneity.

scholarly journals Introduction to radiomics and radiogenomics in neuro-oncology: implications and challenges

2020 ◽  
Vol 2 (Supplement_4) ◽  
pp. iv3-iv14
Author(s):  
Niha Beig ◽  
Kaustav Bera ◽  
Pallavi Tiwari
Keyword(s):  
Treatment Response ◽  
A Priori ◽  
Point Mutations ◽  
Region Of Interest ◽  
Next Generation Sequencing Data ◽  
Tumor Segmentation ◽  
Sequencing Data ◽  
Statistical Correlations ◽  
Data Driven Approach ◽  
Mri Scans

Abstract Neuro-oncology largely consists of malignancies of the brain and central nervous system including both primary as well as metastatic tumors. Currently, a significant clinical challenge in neuro-oncology is to tailor therapies for patients based on a priori knowledge of their survival outcome or treatment response to conventional or experimental therapies. Radiomics or the quantitative extraction of subvisual data from conventional radiographic imaging has recently emerged as a powerful data-driven approach to offer insights into clinically relevant questions related to diagnosis, prediction, prognosis, as well as assessing treatment response. Furthermore, radiogenomic approaches provide a mechanism to establish statistical correlations of radiomic features with point mutations and next-generation sequencing data to further leverage the potential of routine MRI scans to serve as “virtual biopsy” maps. In this review, we provide an introduction to radiomic and radiogenomic approaches in neuro-oncology, including a brief description of the workflow involving preprocessing, tumor segmentation, and extraction of “hand-crafted” features from the segmented region of interest, as well as identifying radiogenomic associations that could ultimately lead to the development of reliable prognostic and predictive models in neuro-oncology applications. Lastly, we discuss the promise of radiomics and radiogenomic approaches in personalizing treatment decisions in neuro-oncology, as well as the challenges with clinical adoption, which will rely heavily on their demonstrated resilience to nonstandardization in imaging protocols across sites and scanners, as well as in their ability to demonstrate reproducibility across large multi-institutional cohorts.

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