scholarly journals Meta-analysis of functional neuroimaging data: current and future directions

2007 ◽  
Vol 2 (2) ◽  
pp. 150-158 ◽  
Author(s):  
Tor D. Wager ◽  
Martin Lindquist ◽  
Lauren Kaplan
Keyword(s):  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Future Directions ◽  
Neuroimaging Data

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 Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization

2017 ◽  
Author(s):  
Romy Lorenz ◽  
Ines R. Violante ◽  
Ricardo Pio Monti ◽  
Giovanni Montana ◽  
Adam Hampshire ◽  
...  
Keyword(s):  
Deductive Reasoning ◽  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Bayesian Optimization ◽  
Cognitive Tasks ◽  
Optimization Approach ◽  
Real Time Analysis ◽  
Starting Point ◽  
Neuroimaging Data ◽  
Meta Analyses

AbstractUnderstanding the unique contributions of frontoparietal networks (FPN) in cognition is challenging because different FPNs spatially overlap and are co-activated for diverse tasks. In order to characterize these networks involves studying how they activate across many different cognitive tasks, which previously has only been possible with meta-analyses. Here, building upon meta-analyses as a starting point, we use neuroadaptive Bayesian optimization, an approach combining real-time analysis of functional neuroimaging data with machine-learning, to discover cognitive tasks that dissociate ventral and dorsal FPN activity from a large pool of tasks. We identify and subsequently refine two cognitive tasks (Deductive Reasoning and Tower of London) that are optimal for dissociating the FPNs. The identified cognitive tasks are not those predicted by meta-analysis, highlighting a different mapping between cognitive tasks and FPNs than expected. The optimization approach converged on a similar neural dissociation independently for the two different tasks, suggesting a possible common underlying functional mechanism and the need for neurally-derived cognitive taxonomies.

scholarly journals Toward a Global and Reproducible Science for Brain Imaging in Neurotrauma: The ENIGMA Adult Moderate/Severe Traumatic Brain Injury Working Group

2019 ◽  
Author(s):  
Alexander Olsen ◽  
Talin Babikian ◽  
Erin D. Bigler ◽  
Karen Caeyenberghs ◽  
Virginia Conde ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Data Analysis ◽  
Brain Injury ◽  
Working Group ◽  
Large Scale ◽  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Small Sample ◽  
Mortality And Morbidity ◽  
Neuroimaging Data

The global burden of mortality and morbidity caused by traumatic brain injury (TBI) is significant and the heterogeneity of TBI patients and the relatively small sample sizes of most current neuroimaging studies is a major challenge for scientific advances and clinical translation. The ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Adult moderate/severe TBI (AMS-TBI) working group aims to be a driving force for new discoveries in AMS-TBI by providing researchers world-wide with an effective framework and platform for large-scale cross-border collaboration and data sharing. Based on the principles of transparency, rigor, reproducibility and collaboration, we will facilitate the development and dissemination of multiscale and big data analysis pipelines for harmonized analyses in AMS-TBI using structural and functional neuroimaging in combination with nonimaging biomarkers, genetics, as well as clinical and behavioral measures. Ultimately, we will offer investigators an unprecedented opportunity to test important hypotheses about recovery and morbidity in AMS-TBI by taking advantage of our robust methods for largescale neuroimaging data analysis. In this consensus statement we outline the working group’s short-term, intermediate, and long-term goals.

scholarly journals Language systems from lesion-symptom mapping in aphasia: A meta-analysis of voxel-based lesion mapping studies

2021 ◽  
Author(s):  
Yoonhye Na ◽  
JeYoung Jung ◽  
Christopher Tench ◽  
Dorothee P Auer ◽  
Sung-Bom Pyun
Keyword(s):  
Language Processing ◽  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Temporal Cortex ◽  
Superior Temporal Gyrus ◽  
Comprehensive Overview ◽  
Post Stroke ◽  
Language Functions ◽  
Neuroimaging Data ◽  
Lesion Symptom Mapping

Background: Aphasia is one of the most common causes of post-stroke disabilities. As the symptoms and impact of post-stroke aphasia are heterogeneous, it is important to understand how topographical lesion heterogeneity in patients with aphasia is associated with different domains of language impairments. Here, we aim to provide a comprehensive overview of neuroanatomical basis in post-stroke aphasia through coordinate based meta-analysis of voxel-based lesion-symptom mapping studies. Methods: We performed a meta-analysis of lesion-symptom mapping studies in post-stroke aphasia. We obtained coordinate-based functional neuroimaging data for 2,007 individuals with aphasia from 25 studies that met predefined inclusion criteria. Results: Overall, our results revealed that the distinctive patterns of lesions in aphasia are associated with different language functions and tasks. Damage to the insular-motor areas impaired speech with preserved comprehension and a similar pattern was observed when the lesion covered the insular-motor and inferior parietal lobule. Lesions in the frontal area severely impaired speaking with relatively good comprehension. The repetition-selective deficits only arise from lesions involving the posterior superior temporal gyrus. Damage in the anterior-to-posterior temporal cortex was associated with semantic deficits. Conclusion: The association patterns of lesion topography and specific language deficits provide key insights into the specific underlying language pathways. Our meta-analysis results strongly support the dual pathway model of language processing, capturing the link between the different symptom complexes of aphasias and the different underlying location of damage.

scholarly journals Coordinate Based Meta-Analysis of Functional Neuroimaging Data Using Activation Likelihood Estimation; Full Width Half Max and Group Comparisons

PLoS ONE ◽  
2014 ◽  
Vol 9 (9) ◽  
pp. e106735 ◽  
Author(s):  
Christopher R. Tench ◽  
Radu Tanasescu ◽  
Dorothee P. Auer ◽  
William J. Cottam ◽  
Cris S. Constantinescu
Keyword(s):  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Likelihood Estimation ◽  
Full Width ◽  
Activation Likelihood Estimation ◽  
Neuroimaging Data ◽  
Group Comparisons

scholarly journals Coordinate Based Meta-Analysis of Functional Neuroimaging Data; False Discovery Control and Diagnostics

PLoS ONE ◽  
2013 ◽  
Vol 8 (7) ◽  
pp. e70143 ◽  
Author(s):  
Christopher R. Tench ◽  
Radu Tanasescu ◽  
Dorothee P. Auer ◽  
Cris S. Constantinescu
Keyword(s):  
Functional Neuroimaging ◽  
Meta Analysis ◽  
False Discovery ◽  
Neuroimaging Data

scholarly journals Meta Analysis of Functional Neuroimaging Data via Bayesian Spatial Point Processes

2011 ◽  
Vol 106 (493) ◽  
pp. 124-134 ◽  
Author(s):  
Jian Kang ◽  
Timothy D. Johnson ◽  
Thomas E. Nichols ◽  
Tor D. Wager
Keyword(s):  
Point Processes ◽  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Spatial Point Processes ◽  
Spatial Point ◽  
Neuroimaging Data

The effects of exercise on the structure of cognitive related brain regions: a meta-analysis of functional neuroimaging data

2019 ◽  
Vol 129 (4) ◽  
pp. 406-415 ◽  
Author(s):  
Guohua Zheng ◽  
Bingzhao Ye ◽  
Yuhui Zheng ◽  
Zhenyu Xiong ◽  
Rui Xia ◽  
...  
Keyword(s):  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Brain Regions ◽  
Neuroimaging Data
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