scholarly journals Singing training predicts increased insula connectivity with speech and respiratory sensorimotor areas at rest

2019 ◽  
Author(s):  
A.M. Zamorano ◽  
R.J. Zatorre ◽  
P. Vuust ◽  
A. Friberg ◽  
N. Birbaumer ◽  
...  
Keyword(s):  
Language Production ◽  
Resting State Fmri ◽  
Long Term Effects ◽  
Activation Patterns ◽  
Sensorimotor Network ◽  
Vocal Training ◽  
Parietal Lobes ◽  
Somatosensory Information ◽  
Co Activation ◽  
Laryngeal Control

AbstractThe insula contributes to the detection of salient events during goal-directed behavior and participates in the coordination of motor, multisensory, and cognitive systems. Recent task-fMRI studies with trained singers suggest that singing experience can enhance the access to these resources. However, the long-term effects of vocal training on insula based networks are still unknown. In this study, we employed resting-state fMRI to assess experience-dependent differences in insula co-activation patterns between conservatory-trained singers and non-singers. Results indicate enhanced bilateral insula connectivity in singers relative to non-singers with constituents of the speech sensorimotor network in both hemispheres. Specifically, with the cerebellum (lobule VI, crus 2), primary somatosensory cortex, the parietal lobes, and the thalamus. Furthermore, singing training predicted enhanced bilateral co-activation of primary sensorimotor areas representing the larynx (with left dorsal anterior insula, dAI) and the diaphragm (with bilateral dAI)—crucial regions for cortico-motor control of complex vocalizations, as well as the thalamus (with bilateral posterior insula/left dAI) and the left putamen (with left dAI). Together, these data support a crucial role of the insula in respiratory and laryngeal control and suggest that singing experience enhances the integration of somatosensory information within the speech motor system, perhaps by strengthening salient associations of bodily signals associated with conscious and non-conscious aspects of expressive language production within a musical framework.

scholarly journals Rest-task Modulation of fMRI-derived Global Signal Topography is Mediated by Transient Co-activation Patterns

2019 ◽  
Author(s):  
Jianfeng Zhang ◽  
Zirui Huang ◽  
Shankar Tumati ◽  
Georg Northoff
Keyword(s):  
Resting State ◽  
Resting State Fmri ◽  
Peak Period ◽  
Physiological Noise ◽  
Activation Patterns ◽  
Global Signal ◽  
Co Activation ◽  
Human Connectome Project ◽  
Partial Dissociation ◽  
Signal Correlation

AbstractRecent resting-state fMRI studies have revealed that the global signal (GS) exhibits a non-uniform spatial distribution across the gray matter. Whether this topography is informative remains largely unknown. We therefore tested rest-task modulation of global signal topography by analyzing static global signal correlation and dynamic co-activation patterns in a large sample of fMRI dataset (n=837) from the Human Connectome Project. The GS topography in the resting-state and in seven different tasks was first measured by correlating the global signal with the local timeseries (GSCORR). In the resting state, high GSCORR was observed mainly in the primary sensory and motor regions, while low GSCORR was seen in the association brain areas. This pattern changed during the seven tasks, with mainly decreased GSCORR in sensorimotor cortex. Importantly, this rest-task modulation of GSCORR could be traced to transient co-activation patterns at the peak period of global signal (GS-peak). By comparing the topography of GSCORR and respiration effects, we observed that the topography of respiration mimicked the topography of global signal in the resting-state whereas both differed during the task states; due to such partial dissociation, we assume that GSCORR could not be equated with a respiration effect. Finally, rest-task modulation of GS topography could not be exclusively explained by other sources of physiological noise. Together, we here demonstrate the informative nature of global signal topography by showing its rest-task modulation, the underlying dynamic co-activation patterns, and its partial dissociation from respiration effects during task states.

scholarly journals Posterior Cingulate Cortex-Related Co-Activation Patterns: A Resting State fMRI Study in Propofol-Induced Loss of Consciousness

PLoS ONE ◽  
2014 ◽  
Vol 9 (6) ◽  
pp. e100012 ◽  
Author(s):  
Enrico Amico ◽  
Francisco Gomez ◽  
Carol Di Perri ◽  
Audrey Vanhaudenhuyse ◽  
Damien Lesenfants ◽  
...  
Keyword(s):  
Resting State ◽  
Cingulate Cortex ◽  
Resting State Fmri ◽  
Posterior Cingulate Cortex ◽  
Loss Of Consciousness ◽  
Activation Patterns ◽  
Posterior Cingulate ◽  
Fmri Study ◽  
Co Activation

scholarly journals Co-activation patterns in resting-state fMRI signals

NeuroImage ◽  
2018 ◽  
Vol 180 ◽  
pp. 485-494 ◽  
Author(s):  
Xiao Liu ◽  
Nanyin Zhang ◽  
Catie Chang ◽  
Jeff H. Duyn
Keyword(s):  
Resting State ◽  
Resting State Fmri ◽  
Activation Patterns ◽  
Co Activation

scholarly journals How (not) to cross a boundary: Crosslinguistic influence in simultaneous bilingual children's event construal

2021 ◽  
pp. 1-13
Author(s):  
Helen Engemann
Keyword(s):  
Production Process ◽  
Age Groups ◽  
Boundary Crossing ◽  
Bilingual Children ◽  
Activation Patterns ◽  
Motion Event ◽  
Co Activation ◽  
Crosslinguistic Influence ◽  
Event Construal ◽  
Two Age Groups

Abstract Simultaneous bilingual children sometimes display crosslinguistic influence (CLI), widely attested in the domain of morphosyntax. It remains less clear whether CLI affects bilinguals’ event construal, what motivates its occurrence and directionality, and how developmentally persistent it is. The present study tested predictions generated by the structural overlap hypothesis and the co-activation account in the motion event domain. 96 English–French bilingual children of two age groups and 96 age-matched monolingual English and French controls were asked to describe animated videos displaying voluntary motion events. Semantic encoding in main verbs showed bidirectional CLI. Unidirectional CLI affected French path encoding in the verbal periphery and was predicted by the presence of boundary-crossing, despite the absence of structural overlap. Furthermore, CLI increased developmentally in the French data. It is argued that these findings reflect highly dynamic co-activation patterns sensitive to the requirements of the task and to language-specific challenges in the online production process.

scholarly journals Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Arian Ashourvan ◽  
Preya Shah ◽  
Adam Pines ◽  
Shi Gu ◽  
Christopher W. Lynn ◽  
...  
Keyword(s):  
White Matter ◽  
Maximum Entropy ◽  
Large Scale ◽  
Structural Connectivity ◽  
Quantitative Relationship ◽  
Brain Regions ◽  
Maximum Entropy Model ◽  
Entropy Model ◽  
Activation Patterns ◽  
Co Activation

AbstractA major challenge in neuroscience is determining a quantitative relationship between the brain’s white matter structural connectivity and emergent activity. We seek to uncover the intrinsic relationship among brain regions fundamental to their functional activity by constructing a pairwise maximum entropy model (MEM) of the inter-ictal activation patterns of five patients with medically refractory epilepsy over an average of ~14 hours of band-passed intracranial EEG (iEEG) recordings per patient. We find that the pairwise MEM accurately predicts iEEG electrodes’ activation patterns’ probability and their pairwise correlations. We demonstrate that the estimated pairwise MEM’s interaction weights predict structural connectivity and its strength over several frequencies significantly beyond what is expected based solely on sampled regions’ distance in most patients. Together, the pairwise MEM offers a framework for explaining iEEG functional connectivity and provides insight into how the brain’s structural connectome gives rise to large-scale activation patterns by promoting co-activation between connected structures.

scholarly journals First evidence of long-term effects of transcranial pulse stimulation (TPS) on the human brain

2022 ◽  
Vol 20 (1) ◽  
Author(s):  
Eva Matt ◽  
Lisa Kaindl ◽  
Saskia Tenk ◽  
Anicca Egger ◽  
Teodora Kolarova ◽  
...  
Keyword(s):  
Human Brain ◽  
Brain Stimulation ◽  
Longitudinal Design ◽  
Brain Structures ◽  
Brain Network ◽  
Long Term Effects ◽  
Sensorimotor Network ◽  
Functional Brain Network ◽  
Pulse Stimulation

Abstract Background With the high spatial resolution and the potential to reach deep brain structures, ultrasound-based brain stimulation techniques offer new opportunities to non-invasively treat neurological and psychiatric disorders. However, little is known about long-term effects of ultrasound-based brain stimulation. Applying a longitudinal design, we comprehensively investigated neuromodulation induced by ultrasound brain stimulation to provide first sham-controlled evidence of long-term effects on the human brain and behavior. Methods Twelve healthy participants received three sham and three verum sessions with transcranial pulse stimulation (TPS) focused on the cortical somatosensory representation of the right hand. One week before and after the sham and verum TPS applications, comprehensive structural and functional resting state MRI investigations and behavioral tests targeting tactile spatial discrimination and sensorimotor dexterity were performed. Results Compared to sham, global efficiency significantly increased within the cortical sensorimotor network after verum TPS, indicating an upregulation of the stimulated functional brain network. Axial diffusivity in left sensorimotor areas decreased after verum TPS, demonstrating an improved axonal status in the stimulated area. Conclusions TPS increased the functional and structural coupling within the stimulated left primary somatosensory cortex and adjacent sensorimotor areas up to one week after the last stimulation. These findings suggest that TPS induces neuroplastic changes that go beyond the spatial and temporal stimulation settings encouraging further clinical applications.

Inter-Hemispherical Investigations on the Functional Connectivity in Controls and Autism Spectrum Using Resting State fMRI

2020 ◽  
pp. 169-186
Author(s):  
S. Vidhusha ◽  
A. Kavitha
Keyword(s):  
Functional Connectivity ◽  
Granger Causality ◽  
Resting State ◽  
Cognitive Task ◽  
Resting State Fmri ◽  
Autism Spectrum ◽  
Control Group ◽  
Neural Connectivity ◽  
Activation Patterns ◽  
The Brain

Autism spectrum disorders are connected with disturbances of neural connectivity. Functional connectivity is typically examined during a cognitive task, but also exists in the absence of a task. While a number of studies have performed functional connectivity analysis to differentiate controls and autism individuals, this work focuses on analyzing the brain activation patterns not only between controls and autistic subjects, but also analyses the brain behaviour present within autism spectrum. This can bring out more intuitive ways to understand that autism individuals differ individually. This has been performed between autism group relative to the control group using inter-hemispherical analysis. Indications of under connectivity were exhibited by the Granger Causality (GC) and Conditional Granger Causality (CGC) in autistic group. Results show that as connectivity decreases, the GC and CGC values also get decreased. Further, to demark the differences present within the spectrum of autistic individuals, GC and CGC values have been calculated.

The sensorimotor network dysfunction in migraineurs without aura: a resting-state fMRI study

2017 ◽  
Vol 264 (4) ◽  
pp. 654-663 ◽  
Author(s):  
Jilei Zhang ◽  
Jingjing Su ◽  
Mengxing Wang ◽  
Ying Zhao ◽  
Qi-Ting Zhang ◽  
...  
Keyword(s):  
Resting State ◽  
Resting State Fmri ◽  
Sensorimotor Network ◽  
Fmri Study

scholarly journals A novel meta-analytic approach: Mining frequent co-activation patterns in neuroimaging databases

NeuroImage ◽  
2014 ◽  
Vol 90 ◽  
pp. 390-402 ◽  
Author(s):  
Julian Caspers ◽  
Karl Zilles ◽  
Christoph Beierle ◽  
Claudia Rottschy ◽  
Simon B. Eickhoff
Keyword(s):  
Analytic Approach ◽  
Activation Patterns ◽  
Co Activation

scholarly journals The Default Mode Network In Patient with Temporal Lobe Epilepsy (TLE): A Resting State fMRI Study

2020 ◽  
Vol 4 (1) ◽  
pp. 23-30
Author(s):  
Shuhada J.M ◽  
Husbani M.A.R ◽  
A I A Hamid ◽  
Muhammad
Keyword(s):  
Temporal Lobe Epilepsy ◽  
Temporal Lobe ◽  
Default Mode Network ◽  
Resting State ◽  
Healthy Subjects ◽  
Brain Activation ◽  
Resting State Fmri ◽  
Default Mode ◽  
Parietal Lobes ◽  
The Brain

The default mode network (DMN) is involved in conscious, resting state cognition and is thought to be affected in TLE where seizures cause impairment of consciousness. The study aimed to evaluate the brain activation of the DMN regions in both temporal lobe epilepsy (TLE) patients  and healthy subjects by using resting-state functional Magnetic Resonance Imaging (rsfMRI) technique. A same number of fourteen participants with age and gender matched for the healthy subjects and TLE patients were selected with the average age is 36.9 and 37.0 years old, respectively. The rsfMRI imaging protocol was executed using a 3-T Phillips Achieva MRI scanner at the Radiology Department, Hospital Universiti Sains Malaysia (HUSM). For healthy subjects, the brain activation cluster in bilateral superior parietal lobes (SPL),precuneus (PRE), supramarginal gyrus (SMG) and inferior parietal lobes (IPL) were found higher than TLE patients. While for TLE patients displays higher activation clusters in bilateral MFG, STG, and ANG. The result from  random effects (RFX) on  two-sample t-tests thresholded at p = 0.001 revealed that the TLE patients display significantly higher activations on the bilateral superior frontal gyrus (SFG), left SMG, left middle frontal gyrus (MFG) and right IPL. However for the core-region of DMN such as  bilateral precuneus, left MFG, bilateral STG and bilateral IPL were significantly activated but the number of voxels survives are substantially smaller than other regions such as bilateral SFG. The findings suggested that TLE patients may suffer from an impairment in some DMN region, which may cause certain neuropsychological and cognitive degradation.       Keywords: resting-state fMRI, temporal lobe epilepsy, brain activation, two-sample t-tests

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