scholarly journals The Brain Network for Deductive Reasoning: A Quantitative Meta-analysis of 28 Neuroimaging Studies

2011 ◽  
Vol 23 (11) ◽  
pp. 3483-3497 ◽  
Author(s):  
Jérôme Prado ◽  
Angad Chadha ◽  
James R. Booth
Keyword(s):  
Deductive Reasoning ◽  
Meta Analysis ◽  
Brain Network ◽  
Cognitive Organization ◽  
Quantitative Evidence ◽  
Density Analysis ◽  
Neural Bases ◽  
Kernel Density Analysis ◽  
The Brain ◽  
Multilevel Kernel Density Analysis

Over the course of the past decade, contradictory claims have been made regarding the neural bases of deductive reasoning. Researchers have been puzzled by apparent inconsistencies in the literature. Some have even questioned the effectiveness of the methodology used to study the neural bases of deductive reasoning. However, the idea that neuroimaging findings are inconsistent is not based on any quantitative evidence. Here, we report the results of a quantitative meta-analysis of 28 neuroimaging studies of deductive reasoning published between 1997 and 2010, combining 382 participants. Consistent areas of activations across studies were identified using the multilevel kernel density analysis method. We found that results from neuroimaging studies are more consistent than what has been previously assumed. Overall, studies consistently report activations in specific regions of a left fronto-parietal system, as well as in the left BG. This brain system can be decomposed into three subsystems that are specific to particular types of deductive arguments: relational, categorical, and propositional. These dissociations explain inconstancies in the literature. However, they are incompatible with the notion that deductive reasoning is supported by a single cognitive system relying either on visuospatial or rule-based mechanisms. Our findings provide critical insight into the cognitive organization of deductive reasoning and need to be accounted for by cognitive theories.

scholarly journals The neural bases of program comprehension: a coordinate-based fMRI meta-analysis

2021 ◽  
Author(s):  
Yoshiharu Ikutani ◽  
Takeshi D. Itoh ◽  
Takatomi Kubo
Keyword(s):  
Brain Activity ◽  
Meta Analysis ◽  
Inferior Frontal Gyrus ◽  
Posterior Part ◽  
Program Comprehension ◽  
Brain Regions ◽  
Middle Temporal Gyrus ◽  
Activation Patterns ◽  
Neural Bases ◽  
Kernel Density Analysis

AbstractThe understanding of brain activity during program comprehension have advanced thanks to noninvasive neuroimaging techniques, such as functional magnetic resonance imaging (fMRI). However, individual neuroimaging studies of program comprehension often provided inconsistent results and made it difficult to identify the neural bases. To identify the essential brain regions, this study performed a small meta-analysis on recent fMRI studies of program comprehension using multilevel kernel density analysis (MKDA). Our analysis identified a set of brain regions consistently activated in various program comprehension tasks. These regions consisted of three clusters, each of which centered at the left inferior frontal gyrus pars triangularis (IFG Tri), posterior part of middle temporal gyrus (pMTG), and right middle frontal gyrus (MFG). Additionally, subsequent analyses revealed relationships among the activation patterns in the previous studies and multiple cognitive functions. These findings suggest that program comprehension mainly recycles the language-related networks and partially employs other domain-general resources in the human brain.

scholarly journals The brain network in support of social semantic accumulation

2021 ◽  
Author(s):  
Guangyao Zhang ◽  
Yangwen Xu ◽  
Meimei Zhang ◽  
Shaonan Wang ◽  
Nan Lin
Keyword(s):  
Semantic Processing ◽  
Semantic Network ◽  
Meta Analysis ◽  
Word List ◽  
Brain Network ◽  
Complex Materials ◽  
Semantic Richness ◽  
The Social ◽  
Social Meanings ◽  
The Brain

Abstract Some studies have indicated that a specific ‘social semantic network’ represents the social meanings of words. However, studies of the comprehension of complex materials, such as sentences and narratives, have indicated that the same network supports the online accumulation of connected semantic information. In this study, we examined the hypothesis that this network does not simply represent the social meanings of words but also accumulates connected social meanings from texts. We defined the social semantic network by conducting a meta-analysis of previous studies on social semantic processing and then examined the effects of social semantic accumulation using a functional Magnetic Resonance Imaging (fMRI) experiment. Two important findings were obtained. First, the social semantic network showed a stronger social semantic effect in sentence and narrative reading than in word list reading, indicating the amplitude of social semantic activation can be accumulated in the network. Second, the activation of the social semantic network in sentence and narrative reading can be better explained by the holistic social-semantic-richness rating scores of the stimuli than by those of the constitutive words, indicating the social semantic contents can be integrated in the network. These two findings convergently indicate that the social semantic network supports the accumulation of connected social meanings.

Naturalizing Aesthetics

2021 ◽  
pp. 18-21
Author(s):  
Steven Brown
Keyword(s):  
Large Scale ◽  
Meta Analysis ◽  
Brain Network ◽  
Anterior Insula ◽  
Food Sources ◽  
Sensory Pathways ◽  
Biological Importance ◽  
Art Works ◽  
Taste And Smell ◽  
The Brain

Aesthetic processing is about what we like and dislike. It applies to all types of perceived objects, not just art works. There should be a general brain network that deals with aesthetic appraisals of like and dislike regardless of the appraised object. In order to investigate this, the authors carried out a large-scale meta-analysis of published neuroimaging studies of aesthetic processing for objects that are perceived using four different sensory pathways: vision, audition, taste, and smell. A part of the brain called the anterior insula appeared as the most concordant area of activation across the four sensory pathways. From an evolutionary standpoint, it most likely that the appreciation of human artifacts like art works piggybacked onto an existing system for the appraisal of objects of biological importance, such as food sources and potential mates.

A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps

2011 ◽  
Vol 27 (8) ◽  
pp. 605-611 ◽  
Author(s):  
J. Radua ◽  
D. Mataix-Cols ◽  
M.L. Phillips ◽  
W. El-Hage ◽  
D.M. Kronhaus ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Likelihood Estimation ◽  
Pooled Analysis ◽  
Brain Response ◽  
Fearful Faces ◽  
Density Analysis ◽  
Probability Methods ◽  
Kernel Density Analysis ◽  
Meta Analyses ◽  
Parametric Maps

AbstractMeta-analyses are essential to summarize the results of the growing number of neuroimaging studies in psychiatry, neurology and allied disciplines. Image-based meta-analyses use full image information (i.e. the statistical parametric maps) and well-established statistics, but images are rarely available making them highly unfeasible. Peak-probability meta-analyses such as activation likelihood estimation (ALE) or multilevel kernel density analysis (MKDA) are more feasible as they only need reported peak coordinates. Signed-differences methods, such as signed differential mapping (SDM) build upon the positive features of existing peak-probability methods and enable meta-analyses of studies comparing patients with controls. In this paper we present a new version of SDM, named Effect Size SDM (ES-SDM), which enables the combination of statistical parametric maps and peak coordinates and uses well-established statistics. We validated the new method by comparing the results of an ES-SDM meta-analysis of studies on the brain response to fearful faces with the results of a pooled analysis of the original individual data. The results showed that ES-SDM is a valid and reliable coordinate-based method, whose performance might be additionally increased by including statistical parametric maps. We anticipate that ES-SDM will be a helpful tool for researchers in the fields of psychiatry, neurology and allied disciplines.

scholarly journals Brain Abnormalities Associated with Self-Injurious Thoughts and Behaviors: A Meta-Analysis of Neuroimaging Studies

2019 ◽  
Author(s):  
Xieyining Huang ◽  
Kelly Rootes-Murdy ◽  
Diana M. Bastidas ◽  
Derek E. Nee ◽  
Joseph C. Franklin
Keyword(s):  
Meta Analysis ◽  
Likelihood Estimation ◽  
Posterior Cingulate Cortex ◽  
Brain Abnormalities ◽  
Moderator Effects ◽  
Structural Abnormalities ◽  
Density Analysis ◽  
Self Harm ◽  
And Behaviors ◽  
Kernel Density Analysis

AbstractSelf-injurious thoughts and behaviors (SITBs) have long been believed to result in part from brain abnormalities. This meta-analysis aims to evaluate whether the extant literature justifies any definitive conclusions about whether and how SITBs may be associated with aberrant findings. Sixty studies published through June 1st, 2017 that compared individuals with and without SITBs were included, resulting in 734 coordinates. A pooled meta-analysis assessing for general risk for SITBs indicated a lack of convergence on structural abnormalities. Functional abnormalities in the precuneus/posterior cingulate cortex (PCC), temporal-parietal junction, and rostral-lateral prefrontal cortex were significant using multi-level kernel density analysis but nonsignificant using activation-likelihood estimation. Separate analyses for types of SITBs suggested that deliberate self-harm might be associated with abnormalities in the precuneus/PCC. Some moderator effects were detected. Overall, the meta-analytic evidence was not robust. More studies are needed to reach definitive conclusions about whether SITBs are associated with brain abnormalities.

scholarly journals Neural correlates of heart-focused interoception: a functional magnetic resonance imaging meta-analysis

2016 ◽  
Vol 371 (1708) ◽  
pp. 20160018 ◽  
Author(s):  
Stefan M. Schulz
Keyword(s):  
Neural Activity ◽  
Emotional Experience ◽  
Meta Analysis ◽  
Neural Correlates ◽  
Hemispheric Dominance ◽  
Time Interval ◽  
Precentral Gyrus ◽  
Functional Models ◽  
Density Analysis ◽  
Kernel Density Analysis

Interoception is the ability to perceive one's internal body state including visceral sensations. Heart-focused interoception has received particular attention, in part due to a readily available task for behavioural assessment, but also due to accumulating evidence for a significant role in emotional experience, decision-making and clinical disorders such as anxiety and depression. Improved understanding of the underlying neural correlates is important to promote development of anatomical-functional models and suitable intervention strategies. In the present meta-analysis, nine studies reporting neural activity associated with interoceptive attentiveness (i.e. focused attention to a particular interoceptive signal for a given time interval) to one's heartbeat were submitted to a multilevel kernel density analysis. The findings corroborated an extended network associated with heart-focused interoceptive attentiveness including the posterior right and left insula, right claustrum, precentral gyrus and medial frontal gyrus. Right-hemispheric dominance emphasizes non-verbal information processing with the posterior insula presumably serving as the major gateway for cardioception. Prefrontal neural activity may reflect both top-down attention deployment and processing of feed-forward cardioceptive information, possibly orchestrated via the claustrum. This article is part of the themed issue ‘Interoception beyond homeostasis: affect, cognition and mental health’.

Lessons From the Neural Bases of Speech and Voice

2011 ◽  
Vol 21 (1) ◽  
pp. 5-14
Author(s):  
Christy L. Ludlow
Keyword(s):  
Brain Networks ◽  
Neural Substrates ◽  
Voice Behavior ◽  
Therapeutic Approaches ◽  
Neural Bases ◽  
Sound Foundation ◽  
The Brain ◽  
Normal Speech

The premise of this article is that increased understanding of the brain bases for normal speech and voice behavior will provide a sound foundation for developing therapeutic approaches to establish or re-establish these functions. The neural substrates involved in speech/voice behaviors, the types of muscle patterning for speech and voice, the brain networks involved and their regulation, and how they can be externally modulated for improving function will be addressed.

Morphological Changes in the Brain of Acutely Ill and Weight-Recovered Patients with Anorexia Nervosa

2014 ◽  
Vol 42 (1) ◽  
pp. 7-18 ◽  
Author(s):  
Jochen Seitz ◽  
Katharina Bühren ◽  
Georg G. von Polier ◽  
Nicole Heussen ◽  
Beate Herpertz-Dahlmann ◽  
...  
Keyword(s):  
Anorexia Nervosa ◽  
Cognitive Deficits ◽  
Time Course ◽  
Morphological Changes ◽  
Meta Analysis ◽  
Short Term ◽  
Clinical Prognosis ◽  
Qualitative Review ◽  
Brain Changes ◽  
The Brain

Objective: Acute anorexia nervosa (AN) leads to reduced gray (GM) and white matter (WM) volume in the brain, which however improves again upon restoration of weight. Yet little is known about the extent and clinical correlates of these brain changes, nor do we know much about the time-course and completeness of their recovery. Methods: We conducted a meta-analysis and a qualitative review of all magnetic resonance imaging studies involving volume analyses of the brain in both acute and recovered AN. Results: We identified structural neuroimaging studies with a total of 214 acute AN patients and 177 weight-recovered AN patients. In acute AN, GM was reduced by 5.6% and WM by 3.8% compared to healthy controls (HC). Short-term weight recovery 2–5 months after admission resulted in restitution of about half of the GM aberrations and almost full WM recovery. After 2–8 years of remission GM and WM were nearly normalized, and differences to HC (GM: –1.0%, WM: –0.7%) were no longer significant, although small residual changes could not be ruled out. In the qualitative review some studies found GM volume loss to be associated with cognitive deficits and clinical prognosis. Conclusions: GM and WM were strongly reduced in acute AN. The completeness of brain volume rehabilitation remained equivocal.

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