scholarly journals The Neural Basis of Motivational Influences on Cognitive Control

2017 ◽  
Author(s):  
Cameron Parro ◽  
Matthew L Dixon ◽  
Kalina Christoff
Keyword(s):  
Cognitive Control ◽  
Large Scale ◽  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Premotor Cortex ◽  
Likelihood Estimation ◽  
Brain Regions ◽  
Control Mechanisms ◽  
Neural Basis ◽  
The Brain

AbstractCognitive control mechanisms support the deliberate regulation of thought and behavior based on current goals. Recent work suggests that motivational incentives improve cognitive control, and has begun to elucidate the brain regions that may support this effect. Here, we conducted a quantitative meta-analysis of neuroimaging studies of motivated cognitive control using activation likelihood estimation (ALE) and Neurosynth in order to delineate the brain regions that are consistently activated across studies. The analysis included functional neuroimaging studies that investigated changes in brain activation during cognitive control tasks when reward incentives were present versus absent. The ALE analysis revealed consistent recruitment in regions associated with the frontoparietal control network including the inferior frontal sulcus (IFS) and intraparietal sulcus (IPS), as well as consistent recruitment in regions associated with the salience network including the anterior insula and anterior mid-cingulate cortex (aMCC). A large-scale exploratory meta-analysis using Neurosynth replicated the ALE results, and also identified the caudate nucleus, nucleus accumbens, medial thalamus, inferior frontal junction/premotor cortex (IFJ/PMC), and hippocampus. Finally, we conducted separate ALE analyses to compare recruitment during cue and target periods, which tap into proactive engagement of rule-outcome associations, and the mobilization of appropriate viscero-motor states to execute a response, respectively. We found that largely distinct sets of brain regions are recruited during cue and target periods. Altogether, these findings suggest that flexible interactions between frontoparietal, salience, and dopaminergic midbrain-striatal networks may allow control demands to be precisely tailored based on expected value.

scholarly journals Seeking the “beauty center” in the brain: A meta-analysis of fMRI studies of beautiful human faces and visual art

2016 ◽  
Author(s):  
Chuan-Peng Hu ◽  
Yi Huang ◽  
Simon B. Eickhoff ◽  
Kaiping Peng ◽  
Jie Sui
Keyword(s):  
Visual Art ◽  
Ventral Striatum ◽  
Meta Analysis ◽  
Likelihood Estimation ◽  
Brain Regions ◽  
Neural Basis ◽  
The Common ◽  
Conjunction Analysis ◽  
Human Faces ◽  
The Brain

AbstractThe existence of a common beauty is a long-standing debate in philosophy and related disciplines. In the last two decades, cognitive neuroscientists have sought to elucidate this issue by exploring the common neural basis of the experience of beauty. Still, empirical evidence for such common neural basis of different forms of beauty is not conclusive. To address this question, we performed an activation likelihood estimation (ALE) meta-analysis on the existing neuroimaging studies of beauty appreciation of faces and visual art by non-expert adults (49 studies, 982 participants, meta-data are available at https://osf.io/s9xds/). We observed that perceiving these two forms of beauty activated distinct brain regions: while the beauty of faces convergently activated the left ventral striatum, the beauty of visual art convergently activated the anterior medial prefrontal cortex (aMPFC). However, a conjunction analysis failed to reveal any common brain regions for the beauty of visual art and faces. The implications of these results are discussed.

scholarly journals Willingness to Pay in the Human Brain: A fMRI Activation Likelihood Estimation Meta-analysis

2021 ◽  
Author(s):  
Xiaoqiang Yao ◽  
Zhigang Huang ◽  
Yiwen Wang
Keyword(s):  
Willingness To Pay ◽  
Human Brain ◽  
Meta Analysis ◽  
Likelihood Estimation ◽  
Brain Regions ◽  
Angular Gyrus ◽  
Activation Likelihood Estimation ◽  
Neural Basis ◽  
Medial Cortex ◽  
The Brain

The neural substrate of willingness to pay (WTP) ultimately supports human economic exchange activities and plays a crucial role in daily life. This paper aimed to identify the neural basis of WTP for food and nonfood, as well as the brain regions related to real and hypothetical WTP choices. We found the human brain centers of WTP by performing an activation likelihood estimation (ALE) meta-analysis (27 experiments, 796 subjects) on the existing neuroimaging studies. The conjunction analysis revealed that WTP for food and nonfood engaged a common cluster in the paracingulate and cingulate gyrus, revealing a common reward circuit in the brain. The frontal medial cortex and paracingulate gyrus were particularly activated by WTP for nonfood. Furthermore, the left caudate, left thalamus, angular gyrus and supramarginal gyrus (subregions of inferior parietal lobule) were more convergently activated by hypothetical WTP choice. Our findings support the idea that a common currency representation in the brain and reward-specific neural basis. Results also provide evidence of neural representations of the hypothetical bias.

scholarly journals Rethinking brain-wide interactions through multi-region “network of networks” models

2020 ◽  
Author(s):  
Matthew Perich ◽  
Kanaka Rajan
Keyword(s):  
Recent Work ◽  
Neural Control ◽  
Large Scale ◽  
Brain Regions ◽  
Interconnected Network ◽  
Neural Basis ◽  
Theoretical Approaches ◽  
Neural Populations ◽  
The Brain ◽  
Network Of Networks

The neural control of behavior is distributed across many functionally and anatomically distinct brain regions even in small nervous systems. While classical neuroscience models treated these regions as a set of hierarchically isolated nodes, the brain comprises a recurrently interconnected network in which each region is intimately modulated by many others. Uncovering these interactions is now possible through experimental techniques that access large neural populations from many brain regions simultaneously. Harnessing these large-scale datasets, however, requires new theoretical approaches. Here, we review recent work to understand brain-wide interactions using multi-region "network of networks" models and discuss how they can guide future experiments. We also emphasize the importance of multi-region recordings, and posit that studying individual components in isolation will be insufficient to understand the neural basis of behavior.

scholarly journals An fMRI Study Using a Combined Task of Interval Discrimination and Oddball Could Reveal Common Brain Circuits of Cognitive Change

2021 ◽  
Vol 12 ◽  
Author(s):  
María Sol Garcés ◽  
Irene Alústiza ◽  
Anton Albajes-Eizagirre ◽  
Javier Goena ◽  
Patricio Molero ◽  
...  
Keyword(s):  
Cognitive Processes ◽  
Healthy Subjects ◽  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Brain Structures ◽  
Cognitive Change ◽  
Brain Regions ◽  
Task Type ◽  
Meta Analyses ◽  
The Brain

Recent functional neuroimaging studies suggest that the brain networks responsible for time processing are involved during other cognitive processes, leading to a hypothesis that time-related processing is needed to perform a range of tasks across various cognitive functions. To examine this hypothesis, we analyze whether, in healthy subjects, the brain structures activated or deactivated during performance of timing and oddball-detection type tasks coincide. To this end, we conducted two independent signed differential mapping (SDM) meta-analyses of functional magnetic resonance imaging (fMRI) studies assessing the cerebral generators of the responses elicited by tasks based on timing and oddball-detection paradigms. Finally, we undertook a multimodal meta-analysis to detect brain regions common to the findings of the two previous meta-analyses. We found that healthy subjects showed significant activation in cortical areas related to timing and salience networks. The patterns of activation and deactivation corresponding to each task type partially coincided. We hypothesize that there exists a time and change-detection network that serves as a common underlying resource used in a broad range of cognitive processes.

The Neural Basis of Religious Cognition

2020 ◽  
Vol 29 (2) ◽  
pp. 126-133 ◽  
Author(s):  
Jordan Grafman ◽  
Irene Cristofori ◽  
Wanting Zhong ◽  
Joseph Bulbulia
Keyword(s):  
Cognitive Control ◽  
Religious Beliefs ◽  
Brain Regions ◽  
Social Reasoning ◽  
Adaptive Responses ◽  
Neural Basis ◽  
Complex Interplay ◽  
Social Motivations ◽  
Neural Underpinnings ◽  
The Brain

Religion’s neural underpinnings have long been a topic of speculation and debate, but an emerging neuroscience of religion is beginning to clarify which regions of the brain integrate moral, ritual, and supernatural religious beliefs with functionally adaptive responses. Here, we review evidence indicating that religious cognition involves a complex interplay among the brain regions underpinning cognitive control, social reasoning, social motivations, and ideological beliefs.

scholarly journals Disentangling predictive processing in the brain: a meta-analytic study in favour of a predictive network

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Linda Ficco ◽  
Lorenzo Mancuso ◽  
Jordi Manuello ◽  
Alessia Teneggi ◽  
Donato Liloia ◽  
...  
Keyword(s):  
Large Scale ◽  
Inferior Frontal Gyrus ◽  
Predictive Coding ◽  
Likelihood Estimation ◽  
Brain Regions ◽  
Predictive Processing ◽  
Spatial Convergence ◽  
Large Scale Networks ◽  
The Brain

AbstractAccording to the predictive coding (PC) theory, the brain is constantly engaged in predicting its upcoming states and refining these predictions through error signals. Despite extensive research investigating the neural bases of this theory, to date no previous study has systematically attempted to define the neural mechanisms of predictive coding across studies and sensory channels, focussing on functional connectivity. In this study, we employ a coordinate-based meta-analytical approach to address this issue. We first use the Activation Likelihood Estimation (ALE) algorithm to detect spatial convergence across studies, related to prediction error and encoding. Overall, our ALE results suggest the ultimate role of the left inferior frontal gyrus and left insula in both processes. Moreover, we employ a meta-analytic connectivity method (Seed-Voxel Correlations Consensus). This technique reveals a large, bilateral predictive network, which resembles large-scale networks involved in task-driven attention and execution. In sum, we find that: (i) predictive processing seems to occur more in certain brain regions than others, when considering different sensory modalities at a time; (ii) there is no evidence, at the network level, for a distinction between error and prediction processing.

scholarly journals Delineating visual, auditory and motor regions in the human brain with functional neuroimaging: a BrainMap-based meta-analytic synthesis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Marisa K. Heckner ◽  
Edna C. Cieslik ◽  
Vincent Küppers ◽  
Peter T. Fox ◽  
Simon B. Eickhoff ◽  
...  
Keyword(s):  
Large Scale ◽  
Functional Neuroimaging ◽  
Motor Task ◽  
Brain Regions ◽  
Affective Processing ◽  
Resting State Functional Connectivity ◽  
Motor Processes ◽  
Brain Correlates ◽  
Meta Analyses ◽  
The Brain

AbstractMost everyday behaviors and laboratory tasks rely on visual, auditory and/or motor-related processes. Yet, to date, there has been no large-scale quantitative synthesis of functional neuroimaging studies mapping the brain regions consistently recruited during such perceptuo-motor processing. We therefore performed three coordinate-based meta-analyses, sampling the results of neuroimaging experiments on visual (n = 114), auditory (n = 122), or motor-related (n = 251) processing, respectively, from the BrainMap database. Our analyses yielded both regions known to be recruited for basic perceptual or motor processes and additional regions in posterior frontal cortex. Comparing our results with data-driven network definitions based on resting-state functional connectivity revealed good overlap in expected regions but also showed that perceptual and motor task-related activations consistently involve additional frontal, cerebellar, and subcortical areas associated with “higher-order” cognitive functions, extending beyond what is captured when the brain is at “rest.” Our resulting sets of domain-typical brain regions can be used by the neuroimaging community as robust functional definitions or masks of regions of interest when investigating brain correlates of perceptual or motor processes and their interplay with other mental functions such as cognitive control or affective processing. The maps are made publicly available via the ANIMA database.

scholarly journals Disentangling Predictive Processing in the Brain: A Meta-analytic Study in Favour of a Predictive Network

2021 ◽  
Author(s):  
Linda Ficco ◽  
Lorenzo Mancuso ◽  
Jordi Manuello ◽  
Alessia Teneggi ◽  
Donato Liloia ◽  
...  
Keyword(s):  
Large Scale ◽  
Inferior Frontal Gyrus ◽  
Predictive Coding ◽  
Likelihood Estimation ◽  
Brain Regions ◽  
Predictive Processing ◽  
Spatial Convergence ◽  
Large Scale Networks ◽  
The Brain

Abstract According to the predictive coding (PC) theory, the brain is constantly engaged in predicting its upcoming states and refining these predictions through error signal. Despite extensive research has investigated the neural bases of this theory, to date no previous study has systematically attempted to define the neural mechanisms of predictive coding across studies and sensory channels, focussing on functional connectivity. In this study, we employ a coordinate-based meta-analytical approach to address this issue. We first use the Activation Likelihood Estimation (ALE) algorithm to detect spatial convergence across studies, related to prediction error and encoding. Overall, our ALE results suggest the ultimate role of the left inferior frontal gyrus and left insula in both processes. Moreover, we employ a task-based meta-analytic connectivity method (Seed-Voxel Correlations Consensus). This technique reveals a large, bilateral predictive network, which resembles large-scale networks involved in task-driven attention and execution. In sum, we find that: i) predictive processing seems to occur more in certain brain regions than others, when considering different sensory modalities at a time; ii) there is no evidence, at the network level, for a distinction between error and prediction processing.

scholarly journals Functional networks of empathy: A systematic review and meta-analysis of fMRI studies of empathy for observed pain

2018 ◽  
Author(s):  
Nicholas Fallon ◽  
Carl Roberts ◽  
Andrej Stancak
Keyword(s):  
Systematic Review ◽  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Likelihood Estimation ◽  
Brain Regions ◽  
Therapeutic Interventions ◽  
Clinical Aspects ◽  
Pain Processing ◽  
Empathy For Pain ◽  
Contrast Analysis

See published version here: https://doi.org/10.1093/scan/nsaa090 Background: Empathy is a phenomenon which incorporates cognitive and affective processes with importance for socio-political, interpersonal and clinical aspects of everyday life. Functional neuroimaging studies of empathy for pain demonstrate rich and heterogeneous patterns of brain activation. However, previous meta-analyses of such studies indicated a limited array of concordant activations focused on bilateral anterior insula (AI) and anterior/anterior mid-cingulate cortex (ACC/aMCC), which points to the need for further research to resolve this dichotomy. Greater understanding of the neurobiological mechanisms of empathy for pain has potential for research, therapeutic interventions and social applications.Objective: To conduct coordinate based meta-analysis (activation likelihood estimation, ALE) investigating neurobiological processes associated with empathy for observed pain. Data source: We adhered to the ‘Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRIMSA) method. Thirty-four studies comprising 897 participants and 420 reported foci were selected for ALE meta-analysis from a systematic review. In addition we contrasted ALE maps of empathy for pain with those of directly perceived pain processing in healthy people from a previous comprehensive meta-analysis (180 studies, Tanasescu 2016). Results: The ALE results revealed consistent activation across studies for empathy for observed pain in aMCC, bilateral AI, supramarginal and lateral occipitotemporal regions and inferior frontal gyri. Conjunction analysis highlighted a broad degree of overlap for empathy and direct experience of pain, but contrast analysis also indicated distinct patterns of activation for empathy for pain, particularly in bilateral supramarginal and occipitotemporal regions.Conclusion: The findings reveal an extended bilateral network underpinning empathy for observed pain which incorporates brain regions with relevance for pain processing, interoception, social cognition, and self-other distinction. The present analysis highlights an important role for supramarginal and occipitotemporal cortices in empathic responses to observed pain which were previously largely overlooked.

scholarly journals Establishing a Role of the Semantic Control Network in Social Cognitive Processing: A Meta-analysis of Functional Neuroimaging Studies

2021 ◽  
Author(s):  
Richard J Binney ◽  
Veronica Diveica ◽  
Kami Koldewyn
Keyword(s):  
Cognitive Processing ◽  
Social Cognitive ◽  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Inferior Frontal Gyrus ◽  
Brain Regions ◽  
Middle Temporal Gyrus ◽  
Neural Activation ◽  
Control Mechanisms ◽  
Meta Analyses

Most leading models of socio-cognitive processing devote little discussion to the nature and neuroanatomical correlates of cognitive control mechanisms. Recently, it has been proposed that the regulation of social behaviours could rely on brain regions specialised in the controlled retrieval of semantic information, namely the anterior inferior frontal gyrus (IFG) and posterior middle temporal gyrus. Accordingly, we set out to investigate whether the neural activation commonly found in social functional neuroimaging studies extends to these semantic control regions. We conducted five coordinate-based meta-analyses to combine results of over 500 fMRI/PET experiments and identified the brain regions consistently involved in semantic control, as well as four social abilities: theory of mind, trait inference, empathy and moral reasoning. This allowed an unprecedented parallel review of the neural networks associated with each of these cognitive domains. The results confirmed that the anterior left IFG region involved in semantic control is reliably engaged in all four social domains. This suggests that social cognition could be partly regulated by the neurocognitive system underpinning semantic control.

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