scholarly journals Neural Systems Underlying Emotional and Non-emotional Interference Processing: An ALE Meta-Analysis of Functional Neuroimaging Studies

2016 ◽  
Vol 10 ◽  
Author(s):  
Min Xu ◽  
Guiping Xu ◽  
Yang Yang
Keyword(s):  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Neural Systems ◽  
Emotional Interference ◽  
Interference Processing

scholarly journals Meta-analysis of neural systems underlying placebo analgesia from individual participant fMRI data

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Matthias Zunhammer ◽  
◽  
Tamás Spisák ◽  
Tor D. Wager ◽  
Ulrike Bingel
Keyword(s):  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Neural Systems ◽  
Related Activity ◽  
Placebo Analgesia ◽  
Study Heterogeneity ◽  
Individual Participant ◽  
Decision Making Processes ◽  
Posterior Insula ◽  
And Control

AbstractThe brain systems underlying placebo analgesia are insufficiently understood. Here we performed a systematic, participant-level meta-analysis of experimental functional neuroimaging studies of evoked pain under stimulus-intensity-matched placebo and control conditions, encompassing 603 healthy participants from 20 (out of 28 eligible) studies. We find that placebo vs. control treatments induce small, widespread reductions in pain-related activity, particularly in regions belonging to ventral attention (including mid-insula) and somatomotor networks (including posterior insula). Behavioral placebo analgesia correlates with reduced pain-related activity in these networks and the thalamus, habenula, mid-cingulate, and supplementary motor area. Placebo-associated activity increases occur mainly in frontoparietal regions, with high between-study heterogeneity. We conclude that placebo treatments affect pain-related activity in multiple brain areas, which may reflect changes in nociception and/or other affective and decision-making processes surrounding pain. Between-study heterogeneity suggests that placebo analgesia is a multi-faceted phenomenon involving multiple cerebral mechanisms that differ across studies.

Task- and age-effects in functional neuroimaging studies of working memory – a quantitative meta-analysis

2010 ◽  
Vol 41 (01) ◽  
Author(s):  
C Rottschy ◽  
S Eickhoff ◽  
I Dogan ◽  
A Laird ◽  
P Fox ◽  
...  
Keyword(s):  
Working Memory ◽  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Age Effects

scholarly journals Stuttered and fluent speech production: An ALE meta-analysis of functional neuroimaging studies

2005 ◽  
Vol 25 (1) ◽  
pp. 105-117 ◽  
Author(s):  
Steven Brown ◽  
Roger J. Ingham ◽  
Janis C. Ingham ◽  
Angela R. Laird ◽  
Peter T. Fox
Keyword(s):  
Speech Production ◽  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Fluent Speech

Meta-analysis of the neural representation of first language and second language

2011 ◽  
Vol 32 (4) ◽  
pp. 799-819 ◽  
Author(s):  
RAJANI SEBASTIAN ◽  
ANGELA R. LAIRD ◽  
SWATHI KIRAN
Keyword(s):  
Second Language ◽  
Language Proficiency ◽  
Language Processing ◽  
Functional Neuroimaging ◽  
Meta Analysis ◽  
First Language ◽  
Likelihood Estimation ◽  
Neural Representation ◽  
Second Language Processing ◽  
Meta Analyses

ABSTRACTThis study reports an activation likelihood estimation meta-analysis of published functional neuroimaging studies of bilingualism. Four parallel meta-analyses were conducted by taking into account the proficiency of participants reported in the studies. The results of the meta-analyses suggest differences in the probabilities of activation patterns between high proficiency and moderate/low proficiency bilinguals. The Talairach coordinates of activation in first language processing were very similar to that of second language processing in the high proficient bilinguals. However, in the low proficient group, the activation clusters were generally smaller and distributed over wider areas in both the hemispheres than the clusters identified in the ALE maps from the high proficient group. These findings draw attention to the importance of language proficiency in bilingual neural representation.

scholarly journals A Methodological Review of fNIRS in Driving Research: Relevance to the Future of Autonomous Vehicles

2021 ◽  
Vol 15 ◽  
Author(s):  
Stephanie Balters ◽  
Joseph M. Baker ◽  
Joseph W. Geeseman ◽  
Allan L. Reiss
Keyword(s):  
Brain Imaging ◽  
Near Infrared ◽  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Autonomous Driving ◽  
Functional Brain Imaging ◽  
Future Research ◽  
Functional Near Infrared Spectroscopy ◽  
Methodological Review ◽  
The Future

As automobile manufacturers have begun to design, engineer, and test autonomous driving systems of the future, brain imaging with functional near-infrared spectroscopy (fNIRS) can provide unique insights about cognitive processes associated with evolving levels of autonomy implemented in the automobile. Modern fNIRS devices provide a portable, relatively affordable, and robust form of functional neuroimaging that allows researchers to investigate brain function in real-world environments. The trend toward “naturalistic neuroscience” is evident in the growing number of studies that leverage the methodological flexibility of fNIRS, and in doing so, significantly expand the scope of cognitive function that is accessible to observation via functional brain imaging (i.e., from the simulator to on-road scenarios). While more than a decade’s worth of study in this field of fNIRS driving research has led to many interesting findings, the number of studies applying fNIRS during autonomous modes of operation is limited. To support future research that directly addresses this lack in autonomous driving research with fNIRS, we argue that a cogent distillation of the methods used to date will help facilitate and streamline this research of tomorrow. To that end, here we provide a methodological review of the existing fNIRS driving research, with the overarching goal of highlighting the current diversity in methodological approaches. We argue that standardization of these approaches will facilitate greater overlap of methods by researchers from all disciplines, which will, in-turn, allow for meta-analysis of future results. We conclude by providing recommendations for advancing the use of such fNIRS technology in furthering understanding the adoption of safe autonomous vehicle technology.

scholarly journals A Meta-analysis of Functional Neuroimaging Studies of Self- and Other Judgments Reveals a Spatial Gradient for Mentalizing in Medial Prefrontal Cortex

2012 ◽  
Vol 24 (8) ◽  
pp. 1742-1752 ◽  
Author(s):  
Bryan T. Denny ◽  
Hedy Kober ◽  
Tor D. Wager ◽  
Kevin N. Ochsner
Keyword(s):  
Functional Organization ◽  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Brain Regions ◽  
The Self ◽  
Spatial Gradient ◽  
Self And Other ◽  
Neuroimaging Data ◽  
Medial Pfc ◽  
Meta Analyses

The distinction between processes used to perceive and understand the self and others has received considerable attention in psychology and neuroscience. Brain findings highlight a role for various regions, in particular the medial PFC (mPFC), in supporting judgments about both the self and others. We performed a meta-analysis of 107 neuroimaging studies of self- and other-related judgments using multilevel kernel density analysis [Kober, H., & Wager, T. D. Meta-analyses of neuroimaging data. Wiley Interdisciplinary Reviews, 1, 293–300, 2010]. We sought to determine what brain regions are reliably involved in each judgment type and, in particular, what the spatial and functional organization of mPFC is with respect to them. Relative to nonmentalizing judgments, both self- and other judgments were associated with activity in mPFC, ranging from ventral to dorsal extents, as well as common activation of the left TPJ and posterior cingulate. A direct comparison between self- and other judgments revealed that ventral mPFC as well as left ventrolateral PFC and left insula were more frequently activated by self-related judgments, whereas dorsal mPFC, in addition to bilateral TPJ and cuneus, was more frequently activated by other-related judgments. Logistic regression analyses revealed that ventral and dorsal mPFC lay at opposite ends of a functional gradient: The z coordinates reported in individual studies predicted whether the study involved self- or other-related judgments, which were associated with increasingly ventral or dorsal portions of mPFC, respectively. These results argue for a distributed rather than localizationist account of mPFC organization and support an emerging view on the functional heterogeneity of mPFC.

scholarly journals The Neural Correlates of Time: A Meta-analysis of Neuroimaging Studies

2019 ◽  
Vol 31 (12) ◽  
pp. 1796-1826 ◽  
Author(s):  
Andrea Nani ◽  
Jordi Manuello ◽  
Donato Liloia ◽  
Sergio Duca ◽  
Tommaso Costa ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Analytical Investigation ◽  
Neural Systems ◽  
Subcortical Structures ◽  
Time Intervals ◽  
Sense Of Time ◽  
Task Conditions ◽  
Estimation Of Time ◽  
The Brain ◽  
Neuroimaging Techniques

During the last two decades, our inner sense of time has been repeatedly studied with the help of neuroimaging techniques. These investigations have suggested the specific involvement of different brain areas in temporal processing. At least two distinct neural systems are likely to play a role in measuring time: One is mainly constituted of subcortical structures and is supposed to be more related to the estimation of time intervals below the 1-sec range (subsecond timing tasks), and the other is mainly constituted of cortical areas and is supposed to be more related to the estimation of time intervals above the 1-sec range (suprasecond timing tasks). Tasks can then be performed in motor or nonmotor (perceptual) conditions, thus providing four different categories of time processing. Our meta-analytical investigation partly confirms the findings of previous meta-analytical works. Both sub- and suprasecond tasks recruit cortical and subcortical areas, but subcortical areas are more intensely activated in subsecond tasks than in suprasecond tasks, which instead receive more contributions from cortical activations. All the conditions, however, show strong activations in the SMA, whose rostral and caudal parts have an important role not only in the discrimination of different time intervals but also in relation to the nature of the task conditions. This area, along with the striatum (especially the putamen) and the claustrum, is supposed to be an essential node in the different networks engaged when the brain creates our sense of time.

scholarly journals Covert Cognition in Disorders of Consciousness: A Meta-Analysis

2020 ◽  
Vol 10 (12) ◽  
pp. 930
Author(s):  
Caroline Schnakers ◽  
Michaela Hirsch ◽  
Enrique Noé ◽  
Roberto Llorens ◽  
Nicolas Lejeune ◽  
...  
Keyword(s):  
Observational Studies ◽  
Functional Neuroimaging ◽  
Vegetative State ◽  
Meta Analysis ◽  
Minimally Conscious State ◽  
Conscious State ◽  
Demographic Variables ◽  
Disorders Of Consciousness ◽  
Minimally Conscious ◽  
Increase Sample Size

Covert cognition in patients with disorders of consciousness represents a real diagnostic conundrum for clinicians. In this meta-analysis, our main objective was to identify clinical and demographic variables that are more likely to be associated with responding to an active paradigm. Among 2018 citations found on PubMed, 60 observational studies were found relevant. Based on the QUADAS-2, 49 studies were considered. Data from 25 publications were extracted and included in the meta-analysis. Most of these studies used electrophysiology as well as counting tasks or mental imagery. According to our statistical analysis, patients clinically diagnosed as being in a vegetative state and in a minimally conscious state minus (MCS−) show similar likelihood in responding to active paradigm and responders are most likely suffering from a traumatic brain injury. In the future, multi-centric studies should be performed in order to increase sample size, with similar methodologies and include structural and functional neuroimaging in order to identify cerebral markers related to such a challenging diagnosis.

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