scholarly journals A short, robust brain activation control task optimised for pharmacological fMRI studies

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5540 ◽  
Author(s):  
Jessica-Lily Harvey ◽  
Lysia Demetriou ◽  
John McGonigle ◽  
Matthew B. Wall
Keyword(s):  
Correlation Coefficients ◽  
Region Of Interest ◽  
Neurovascular Coupling ◽  
Brain Activation ◽  
Brain Regions ◽  
Control Task ◽  
Physiological Factors ◽  
Basic Task ◽  
Task Conditions ◽  
Reliability Coefficients

Background Functional magnetic resonance imaging (fMRI) is a popular method for examining pharmacological effects on the brain; however, the BOLD response is dependent on intact neurovascular coupling, and potentially modulated by a number of physiological factors. Pharmacological fMRI is therefore vulnerable to confounding effects of pharmacological probes on general physiology or neurovascular coupling. Controlling for such non-specific effects in pharmacological fMRI studies is therefore an important consideration, and there is an additional need for well-validated fMRI task paradigms that could be used to control for such effects, or for general testing purposes. Methods We have developed two variants of a standardized control task that are short (5 minutes duration) simple (for both the subject and experimenter), widely applicable, and yield a number of readouts in a spatially diverse set of brain networks. The tasks consist of four functionally discrete three-second trial types (plus additional null trials) and contain visual, auditory, motor and cognitive (eye-movements, and working memory tasks in the two task variants) stimuli. Performance of the tasks was assessed in a group of 15 subjects scanned on two separate occasions, with test-retest reliability explicitly assessed using intra-class correlation coefficients. Results Both tasks produced robust patterns of brain activation in the expected brain regions, and region of interest-derived reliability coefficients for the tasks were generally high, with four out of eight task conditions rated as ‘excellent’ or ‘good’, and only one out of eight rated as ‘poor’. Median values in the voxel-wise reliability measures were also >0.7 for all task conditions, and therefore classed as ‘excellent’ or ‘good’. The spatial concordance between the most highly activated voxels and those with the highest reliability coefficients was greater for the sensory (auditory, visual) conditions than the other (motor, cognitive) conditions. Discussion Either of the two task variants would be suitable for use as a control task in future pharmacological fMRI studies or for any other investigation where a short, reliable, basic task paradigm is required. Stimulus code is available online for re-use by the scientific community.

scholarly journals A short, robust brain activation control task optimised for pharmacological fMRI studies

2017 ◽  
Author(s):  
Jessica-Lily Harvey ◽  
Lysia Demetriou ◽  
John McGonigle ◽  
Matthew B Wall
Keyword(s):  
Correlation Coefficients ◽  
Brain Activation ◽  
Brain Regions ◽  
Control Task ◽  
Indirect Measure ◽  
Basic Task ◽  
Specific Effects ◽  
Task Conditions ◽  
Test Retest Reliability ◽  
The Brain

AbstractFunctional magnetic resonance imaging (fMRI) is a popular method for examining pharmacological effects on the brain; however the BOLD response is an indirect measure of neural activity, and as such is vulnerable to confounding effects of pharmacological probes. Controlling for such non-specific effects in pharmacological fMRI studies is therefore an important consideration. We have developed two variants of a standardized control task that are short (5 minutes duration) simple (for both the subject and experimenter), widely applicable, and yield a number of readouts in a spatially diverse set of brain networks. The tasks consist of four functionally discreet three-second trial types (plus additional null trials) and contain visual, auditory, motor and cognitive (eye-movements, and working memory tasks in the two task variants) stimuli. Performance of the tasks was assessed in a group of 15 subjects scanned on two separate occasions, with test-retest reliability explicitly assessed using intra-class correlation coefficients. Both tasks produced robust patterns of brain activation in the expected brain regions, and reliability coefficients for the tasks were generally high, with four out of eight task conditions rated as ‘excellent’, and only one out of eight rated as ‘poor’. Voxel-wise reliability measures also showed good spatial concordances with the brain activation results. Either of the two task variants would be suitable for use as a control task in future pharmacological fMRI studies or for any situation where a short, reliable, basic task paradigm is required. Stimulus code is available online for re-use by the scientific community.

Reading musical notation versus English letters: Mapping brain activation with MEG

2017 ◽  
Vol 47 (2) ◽  
pp. 255-269 ◽  
Author(s):  
Ching-I Lu ◽  
Margaret L. Greenwald ◽  
Yung-Yang Lin ◽  
Susan M. Bowyer
Keyword(s):  
Cognitive Load ◽  
Left Hemisphere ◽  
Region Of Interest ◽  
Brain Activation ◽  
Brain Regions ◽  
High Temporal Resolution ◽  
Neural Activation ◽  
Professional Musicians ◽  
Musical Notation ◽  
Superior Parietal Cortex

Temporal and spatial analyses of brain function with magnetoencephalography (MEG) are seldom reported in studies of musical sight-reading. We used MEG to compare the timing and localization of brain regions active during print-to-sound translation of musical notation versus English letters. MEG recordings were made on 22 professional musicians during print-to-sound tasks involving low versus high cognitive load. The MEG data were analyzed using MR-FOCUSS, a current density imaging technique. A laterality index was calculated to determine which hemisphere had more neural activation during these music and language reading tasks, and showed brain activation more lateralized to the language dominant (left) hemisphere in these right-handed musicians. Both note and letter reading tasks required translation to phonological codes and activated left hemisphere language areas. Also, the superior parietal cortex was a region of interest bilaterally. The high temporal resolution of MEG, coupled with its spatial resolution, proved sensitive to differences in cognitive load in reading both letters and musical notes. MEG will be useful in future studies of how brain structure or function may change as a result of learning music.

scholarly journals Regional Brain Activation during Meditation Shows Time and Practice Effects: An Exploratory FMRI Study

2010 ◽  
Vol 7 (1) ◽  
pp. 121-127 ◽  
Author(s):  
E. Baron Short ◽  
Samet Kose ◽  
Qiwen Mu ◽  
Jeffery Borckardt ◽  
Andrew Newberg ◽  
...  
Keyword(s):  
Region Of Interest ◽  
Brain Regions ◽  
Anterior Cingulate ◽  
Entire Group ◽  
Control Task ◽  
Short Term ◽  
Regional Brain ◽  
Response Versus ◽  
Time Courses

Meditation involves attentional regulation and may lead to increased activity in brain regions associated with attention such as dorsal lateral prefrontal cortex (DLPFC) and anterior cingulate cortex (ACC). Using functional magnetic resonance imaging, we examined whether DLPFC and ACC were activated during meditation. Subjects who meditate were recruited and scanned on a 3.0 Tesla scanner. Subjects meditated for four sessions of 12 min and performed four sessions of a 6 min control task. Individual and group t-maps were generated of overall meditation response versus control response and late meditation response versus early meditation response for each subject and time courses were plotted. For the overall group (n= 13), and using an overall brain analysis, there were no statistically significant regional activations of interest using conservative thresholds. A region of interest analysis of the entire group time courses of DLPFC and ACC were statistically more active throughout meditation in comparison to the control task. Moreover, dividing the cohort into short (n= 8) and long-term (n= 5) practitioners (>10 years) revealed that the time courses of long-term practitioners had significantly more consistent and sustained activation in the DLPFC and the ACC during meditation versus control in comparison to short-term practitioners. The regional brain activations in the more practised subjects may correlate with better sustained attention and attentional error monitoring. In summary, brain regions associated with attention vary over the time of a meditation session and may differ between long- and short-term meditation practitioners.

scholarly journals Dissociable Mechanisms of Verbal Working Memory Revealed through Multivariate Lesion Mapping

2019 ◽  
Vol 30 (4) ◽  
pp. 2542-2554 ◽  
Author(s):  
Maryam Ghaleh ◽  
Elizabeth H Lacey ◽  
Mackenzie E Fama ◽  
Zainab Anbari ◽  
Andrew T DeMarco ◽  
...  
Keyword(s):  
Working Memory ◽  
Spatial Working Memory ◽  
Superior Temporal Gyrus ◽  
Verbal Working Memory ◽  
Brain Structures ◽  
Brain Regions ◽  
Task Demands ◽  
Auditory Information ◽  
Verbal Information ◽  
Task Conditions

Abstract Two maintenance mechanisms with separate neural systems have been suggested for verbal working memory: articulatory-rehearsal and non-articulatory maintenance. Although lesion data would be key to understanding the essential neural substrates of these systems, there is little evidence from lesion studies that the two proposed mechanisms crucially rely on different neuroanatomical substrates. We examined 39 healthy adults and 71 individuals with chronic left-hemisphere stroke to determine if verbal working memory tasks with varying demands would rely on dissociable brain structures. Multivariate lesion–symptom mapping was used to identify the brain regions involved in each task, controlling for spatial working memory scores. Maintenance of verbal information relied on distinct brain regions depending on task demands: sensorimotor cortex under higher demands and superior temporal gyrus (STG) under lower demands. Inferior parietal cortex and posterior STG were involved under both low and high demands. These results suggest that maintenance of auditory information preferentially relies on auditory-phonological storage in the STG via a nonarticulatory maintenance when demands are low. Under higher demands, sensorimotor regions are crucial for the articulatory rehearsal process, which reduces the reliance on STG for maintenance. Lesions to either of these regions impair maintenance of verbal information preferentially under the appropriate task conditions.

scholarly journals Comparison of Activation in the Prefrontal Cortex of Native Speakers of Mandarin by Ability of Japanese as a Second Language Using a Novel Speaking Task

Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 412
Author(s):  
Li Cong ◽  
Hideki Miyaguchi ◽  
Chinami Ishizuki
Keyword(s):  
Second Language ◽  
Prefrontal Cortex ◽  
Cognitive Load ◽  
Near Infrared ◽  
Native Speakers ◽  
Brain Activation ◽  
Brain Regions ◽  
Strong Inhibition ◽  
Functional Near Infrared Spectroscopy ◽  
High Level

Evidence shows that second language (L2) learning affects cognitive function. Here in this work, we compared brain activation in native speakers of Mandarin (L1) who speak Japanese (L2) between and within two groups (high and low L2 ability) to determine the effect of L2 ability in L1 and L2 speaking tasks, and to map brain regions involved in both tasks. The brain activation during task performance was determined using prefrontal cortex blood flow as a proxy, measured by functional near-infrared spectroscopy (fNIRS). People with low L2 ability showed much more brain activation when speaking L2 than when speaking L1. People with high L2 ability showed high-level brain activation when speaking either L2 or L1. Almost the same high-level brain activation was observed in both ability groups when speaking L2. The high level of activation in people with high L2 ability when speaking either L2 or L1 suggested strong inhibition of the non-spoken language. A wider area of brain activation in people with low compared with high L2 ability when speaking L2 is considered to be attributed to the cognitive load involved in code-switching L1 to L2 with strong inhibition of L1 and the cognitive load involved in using L2.

scholarly journals Diversity of neurovascular coupling dynamics along vascular arbors in layer II/III somatosensory cortex

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Ravi L. Rungta ◽  
Marc Zuend ◽  
Ali-Kemal Aydin ◽  
Éric Martineau ◽  
Davide Boido ◽  
...  
Keyword(s):  
Cerebral Cortex ◽  
Somatosensory Cortex ◽  
Cerebral Blood Volume ◽  
Transfer Functions ◽  
Neurovascular Coupling ◽  
Sensory Stimulation ◽  
Brain Regions ◽  
Blood Velocity ◽  
Functional Brain Imaging ◽  
Vascular Events

AbstractThe spatial-temporal sequence of cerebral blood flow (CBF), cerebral blood volume (CBV) and blood velocity changes triggered by neuronal activation is critical for understanding functional brain imaging. This sequence follows a stereotypic pattern of changes across different zones of the vasculature in the olfactory bulb, the first relay of olfaction. However, in the cerebral cortex, where most human brain mapping studies are performed, the timing of activity evoked vascular events remains controversial. Here we utilized a single whisker stimulation model to map out functional hyperemia along vascular arbours from layer II/III to the surface of primary somatosensory cortex, in anesthetized and awake Thy1-GCaMP6 mice. We demonstrate that sensory stimulation triggers an increase in blood velocity within the mid-capillary bed and a dilation of upstream large capillaries, and the penetrating and pial arterioles. We report that under physiological stimulation, response onset times are highly variable across compartments of different vascular arbours. Furthermore, generating transfer functions (TFs) between neuronal Ca2+ and vascular dynamics across different brain states demonstrates that anesthesia decelerates neurovascular coupling (NVC). This spatial-temporal pattern of vascular events demonstrates functional diversity not only between different brain regions but also at the level of different vascular arbours within supragranular layers of the cerebral cortex.

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 Handling Multiplicity in Neuroimaging through Bayesian Lenses with Multilevel Modeling

2017 ◽  
Author(s):  
Gang Chen ◽  
Yaqiong Xiao ◽  
Paul A. Taylor ◽  
Justin K. Rajendra ◽  
Tracy Riggins ◽  
...  
Keyword(s):  
Multiple Testing ◽  
False Positive Rate ◽  
Region Of Interest ◽  
Brain Regions ◽  
Integrative Model ◽  
Multidimensional Data ◽  
Positive Rate ◽  
Incorrect Sign ◽  
Sign Type ◽  
Univariate Approach

AbstractHere we address the current issues of inefficiency and over-penalization in the massively univariate approach followed by the correction for multiple testing, and propose a more efficient model that pools and shares information among brain regions. Using Bayesian multilevel (BML) modeling, we control two types of error that are more relevant than the conventional false positive rate (FPR): incorrect sign (type S) and incorrect magnitude (type M). BML also aims to achieve two goals: 1) improving modeling efficiency by having one integrative model and thereby dissolving the multiple testing issue, and 2) turning the focus of conventional null hypothesis significant testing (NHST) on FPR into quality control by calibrating type S errors while maintaining a reasonable level of inference efficiency The performance and validity of this approach are demonstrated through an application at the region of interest (ROI) level, with all the regions on an equal footing: unlike the current approaches under NHST, small regions are not disadvantaged simply because of their physical size. In addition, compared to the massively univariate approach, BML may simultaneously achieve increased spatial specificity and inference efficiency, and promote results reporting in totality and transparency. The benefits of BML are illustrated in performance and quality checking using an experimental dataset. The methodology also avoids the current practice of sharp and arbitrary thresholding in thep-value funnel to which the multidimensional data are reduced. The BML approach with its auxiliary tools is available as part of the AFNI suite for general use.

The Contributions of Emotion and Reward to Aesthetic Judgment of Visual Art

2021 ◽  
pp. 83-87
Author(s):  
Oshin Vartanian
Keyword(s):  
Magnetic Resonance Imaging ◽  
Visual Cortex ◽  
Magnetic Resonance ◽  
Brain Activation ◽  
Brain Regions ◽  
Aesthetic Judgment ◽  
Aesthetic Preference ◽  
Aesthetic Experiences ◽  
Preference Ratings ◽  
Images Of Paintings

It has long been assumed that emotions play an important role in our interactions with artworks. Similarly, how rewarding we find an artwork could also be an important driver of our aesthetic preference for it. Vartanian and Goel (2004) tested this idea by presenting participants with images of paintings in the functional magnetic resonance imaging (fMRI) scanner, recording brain activation as they viewed and rated them on aesthetic preference. Their results demonstrated that activation in brain regions that encode reward and emotions—including the caudate nucleus, cingulate sulcus, and the visual cortex—covaried with preference ratings assigned to the paintings. This study represented an early example of how brain imaging could be used to test theoretically derived predictions from empirical aesthetics. Indeed, data from that study and several others since have accumulated to demonstrate that emotions and rewards are a cornerstone of our aesthetic experiences in relation to artworks and other classes of stimuli.

scholarly journals Modulation of hippocampal brain networks produces changes in episodic simulation and divergent thinking

2020 ◽  
Vol 117 (23) ◽  
pp. 12729-12740 ◽  
Author(s):  
Preston P. Thakral ◽  
Kevin P. Madore ◽  
Sarah E. Kalinowski ◽  
Daniel L. Schacter
Keyword(s):  
Divergent Thinking ◽  
Brain Networks ◽  
Brain Regions ◽  
Angular Gyrus ◽  
Seed Region ◽  
Core Network ◽  
Control Task ◽  
Resting State Functional Connectivity ◽  
Target Region ◽  
Episodic Simulation

Prior functional magnetic resonance imaging (fMRI) studies indicate that a core network of brain regions, including the hippocampus, is jointly recruited during episodic memory, episodic simulation, and divergent creative thinking. Because fMRI data are correlational, it is unknown whether activity increases in the hippocampus, and the core network more broadly, play a causal role in episodic simulation and divergent thinking. Here we employed fMRI-guided transcranial magnetic stimulation (TMS) to assess whether temporary disruption of hippocampal brain networks impairs both episodic simulation and divergent thinking. For each of two TMS sessions, continuous θ-burst stimulation (cTBS) was applied to either a control site (vertex) or to a left angular gyrus target region. The target region was identified on the basis of a participant-specific resting-state functional connectivity analysis with a hippocampal seed region previously associated with memory, simulation, and divergent thinking. Following cTBS, participants underwent fMRI and performed a simulation, divergent thinking, and nonepisodic control task. cTBS to the target region reduced the number of episodic details produced for the simulation task and reduced idea production on divergent thinking. Performance in the control task did not statistically differ as a function of cTBS site. fMRI analyses revealed a selective and simultaneous reduction in hippocampal activity during episodic simulation and divergent thinking following cTBS to the angular gyrus versus vertex but not during the nonepisodic control task. Our findings provide evidence that hippocampal-targeted TMS can specifically modulate episodic simulation and divergent thinking, and suggest that the hippocampus is critical for these cognitive functions.

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