Neural effects of social environmental stress – an activation likelihood estimation meta-analysis

BackgroundSocial environmental stress, including childhood abuse and deprivation, is associated with increased rates of psychiatric disorders such as schizophrenia and depression. However, the neural mechanisms mediating risk are not completely understood. Functional magnetic resonance imaging (MRI) studies have reported effects of social environmental stress on a variety of brain regions, but interpretation of results is complicated by the variety of environmental risk factors examined and different methods employed.MethodWe examined brain regions consistently showing differences in blood oxygen level-dependent (BOLD) response in individuals exposed to higher levels of environmental stress by performing a coordinate-based meta-analysis on 54 functional MRI studies using activation likelihood estimation (ALE), including an overall sample of 3044 participants. We performed separate ALE analyses on studies examining adults (mean age ⩾18 years) and children/adolescents (mean age <18 years) and a contrast analysis comparing the two types of study.ResultsAcross both adult and children/adolescent studies, ALE meta-analysis revealed several clusters in which differences in BOLD response were associated with social environmental stress across multiple studies. These clusters incorporated several brain regions, among which the right amygdala was most frequently implicated.ConclusionsThese findings suggest that a variety of social environmental stressors is associated with differences in the BOLD response of specific brain regions such as the right amygdala in both children/adolescents and adults. What remains unknown is whether these environmental stressors have differential effects on treatment response in these brain regions.

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Neural Underpinnings of Numerical and Spatial Cognition: An fMRI Meta-Analysis of Brain Regions Associated with Symbolic Number, Arithmetic, and Mental Rotation

10.31234/osf.io/dyqrx ◽

2019 ◽

Author(s):

Zachary Hawes ◽

H Moriah Sokolowski ◽

Chuka Bosah Ononye ◽

Daniel Ansari

Keyword(s):

Mental Rotation ◽

Parietal Lobe ◽

Meta Analysis ◽

Likelihood Estimation ◽

Brain Regions ◽

Angular Gyrus ◽

Number Representation ◽

Neural Underpinnings ◽

The Right ◽

Symbolic Number

Where and under what conditions do spatial and numerical skills converge and diverge in the brain? To address this question, we conducted a meta-analysis of brain regions associated with basic symbolic number processing, arithmetic, and mental rotation. We used Activation Likelihood Estimation (ALE) to construct quantitative meta-analytic maps synthesizing results from 86 neuroimaging papers (~ 30 studies/cognitive process). All three cognitive processes were found to activate bilateral parietal regions in and around the intraparietal sulcus (IPS); a finding consistent with shared processing accounts. Numerical and arithmetic processing were associated with overlap in the left angular gyrus, whereas mental rotation and arithmetic both showed activity in the middle frontal gyri. These patterns suggest regions of cortex potentially more specialized for symbolic number representation and domain-general mental manipulation, respectively. Additionally, arithmetic was associated with unique activity throughout the fronto-parietal network and mental rotation was associated with unique activity in the right superior parietal lobe. Overall, these results provide new insights into the intersection of numerical and spatial thought in the human brain.

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Neural Correlates of Anti-appetite Medications: an fMRI Meta-analysis

Current Neuropharmacology ◽

10.2174/1570159x19666210914142227 ◽

2021 ◽

Vol 19 ◽

Author(s):

Andy Wai Kan Yeung

Keyword(s):

Meta Analysis ◽

Likelihood Estimation ◽

Neural Correlates ◽

Brain Regions ◽

Physiological Effect ◽

Activity Level ◽

Considerable Proportion ◽

Food Cues ◽

The Right ◽

Cerebral Processing

: Food craving is a health issue for a considerable proportion of the general population. Medications have been introduced to alleviate the craving or reduce the appetite via a neuropharmacological approach. However, the underlying cerebral processing of the medications was largely unknown. This study aimed to meta-analyze existing neuroimaging findings. We searched PubMed, Web of Science, and Scopus to identify relevant publications. Original studies that reported brain imaging findings using functional magnetic resonance imaging (fMRI) were initially included. The reported coordinates of brain activation available from the studies were extracted and meta-analyzed with the activation likelihood estimation (ALE) approach via the software GingerALE. The overall analysis pooling data from 24 studies showed that the right claustrum and insula were the targeted sites of altered cerebral processing of food cues by the medications. Subgroup analysis pooling data from 11 studies showed that these sites had reduced activity level under medications compared to placebo. The location of this significant cluster partially overlapped with that attributable to affective value processing of food cue in a prior meta-analysis. No brain regions were found to have increased activity level by medications. These neural correlates may help explain the physiological effect of food consumption by anti-appetite and anti-obesity medications.

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Brain Network Underlying Executive Functions in Gambling and Alcohol Use Disorders: An Activation Likelihood Estimation Meta-Analysis of fMRI Studies

Brain Sciences ◽

10.3390/brainsci10060353 ◽

2020 ◽

Vol 10 (6) ◽

pp. 353 ◽

Cited By ~ 1

Author(s):

Alessandro Quaglieri ◽

Emanuela Mari ◽

Maddalena Boccia ◽

Laura Piccardi ◽

Cecilia Guariglia ◽

...

Keyword(s):

Alcohol Use ◽

Executive Functions ◽

Meta Analysis ◽

Likelihood Estimation ◽

Brain Network ◽

Middle Frontal Gyrus ◽

Activation Likelihood Estimation ◽

Lentiform Nucleus ◽

Study Approach ◽

The Right

Background: Neuroimaging and neuropsychological studies have suggested that common features characterize both Gambling Disorder (GD) and Alcohol Use Disorder (AUD), but these conditions have rarely been compared. Methods: We provide evidence for the similarities and differences between GD and AUD in neural correlates of executive functions by performing an activation likelihood estimation meta-analysis of 34 functional magnetic resonance imaging studies involving executive function processes in individuals diagnosed with GD and AUD and healthy controls (HC). Results: GD showed greater bilateral clusters of activation compared with HC, mainly located in the head and body of the caudate, right middle frontal gyrus, right putamen, and hypothalamus. Differently, AUD showed enhanced activation compared with HC in the right lentiform nucleus, right middle frontal gyrus, and the precuneus; it also showed clusters of deactivation in the bilateral middle frontal gyrus, left middle cingulate cortex, and inferior portion of the left putamen. Conclusions: Going beyond the limitations of a single study approach, these findings provide evidence, for the first time, that both disorders are associated with specific neural alterations in the neural network for executive functions.

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Resting State Functional Connectivity of Brain With Electroconvulsive Therapy in Depression: Meta-Analysis to Understand Its Mechanisms

Frontiers in Human Neuroscience ◽

10.3389/fnhum.2020.616054 ◽

2021 ◽

Vol 14 ◽

Author(s):

Preeti Sinha ◽

Himanshu Joshi ◽

Dhruva Ithal

Keyword(s):

Systematic Review ◽

Functional Connectivity ◽

Electroconvulsive Therapy ◽

Resting State ◽

Meta Analysis ◽

Likelihood Estimation ◽

Cingulate Cortex ◽

Activation Likelihood Estimation ◽

Resting State Functional Connectivity ◽

The Right

Introduction: Electroconvulsive therapy (ECT) is a commonly used brain stimulation treatment for treatment-resistant or severe depression. This study was planned to find the effects of ECT on brain connectivity by conducting a systematic review and coordinate-based meta-analysis of the studies performing resting state fMRI (rsfMRI) in patients with depression receiving ECT.Methods: We systematically searched the databases published up to July 31, 2020, for studies in patients having depression that compared resting-state functional connectivity (rsFC) before and after a course of pulse wave ECT. Meta-analysis was performed using the activation likelihood estimation method after extracting details about coordinates, voxel size, and method for correction of multiple comparisons corresponding to the significant clusters and the respective rsFC analysis measure with its method of extraction.Results: Among 41 articles selected for full-text review, 31 articles were included in the systematic review. Among them, 13 articles were included in the meta-analysis, and a total of 73 foci of 21 experiments were examined using activation likelihood estimation in 10 sets. Using the cluster-level interference method, one voxel-wise analysis with the measure of amplitude of low frequency fluctuations and one seed-voxel analysis with the right hippocampus showed a significant reduction (p < 0.0001) in the left cingulate gyrus (dorsal anterior cingulate cortex) and a significant increase (p < 0.0001) in the right hippocampus with the right parahippocampal gyrus, respectively. Another analysis with the studies implementing network-wise (posterior default mode network: dorsomedial prefrontal cortex) resting state functional connectivity showed a significant increase (p < 0.001) in bilateral posterior cingulate cortex. There was considerable variability as well as a few key deficits in the preprocessing and analysis of the neuroimages and the reporting of results in the included studies. Due to lesser studies, we could not do further analysis to address the neuroimaging variability and subject-related differences.Conclusion: The brain regions noted in this meta-analysis are reasonably specific and distinguished, and they had significant changes in resting state functional connectivity after a course of ECT for depression. More studies with better neuroimaging standards should be conducted in the future to confirm these results in different subgroups of depression and with varied aspects of ECT.

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From ATOM to GradiATOM: Cortical gradients support time and space processing as revealed by a meta-analysis of neuroimaging studies

10.1101/2020.04.29.068411 ◽

2020 ◽

Author(s):

Giorgia Cona ◽

Martin Wiener ◽

Cristina Scarpazza

Keyword(s):

Meta Analysis ◽

Likelihood Estimation ◽

General System ◽

Brain Regions ◽

Neural System ◽

Gradient Theory ◽

Time Processing ◽

Space And Time ◽

Space Processing ◽

The Right

AbstractAccording to the ATOM (A Theory Of Magnitude), formulated by Walsh more than fifteen years ago, there is a general system of magnitude in the brain that comprises regions, such as the parietal cortex, shared by space, time and other magnitudes (Walsh, 2003).The present meta-analysis of neuroimaging studies used the Activation Likelihood Estimation (ALE) method in order to determine the set of regions commonly activated in space and time processing and to establish the neural activations specific to each magnitude domain. Following PRISMA guidelines, we included in the analysis a total of 112 and 114 experiments, exploring space and time processing, respectively.We clearly identified the presence of a system of brain regions commonly recruited in both space and time and that includes: bilateral insula, the pre-supplementary motor area (SMA), the right frontal operculum and the intraparietal sulci. These regions might be the best candidates to form the core magnitude neural system. Surprisingly, along each of these regions but the insula, ALE values progressed in a cortical gradient from time to space. The SMA exhibited an anterior-posterior gradient, with space activating more-anterior regions (i.e., pre-SMA) and time activating more-posterior regions (i.e., SMA-proper). Frontal and parietal regions showed a dorsal-ventral gradient: space is mediated by dorsal frontal and parietal regions, and time recruits ventral frontal and parietal regions.Our study supports but also expands the ATOM theory. Therefore, we here re-named it the ‘GradiATOM’ theory (Gradient Theory of Magnitude), proposing that gradient organization can facilitate the transformations and integrations of magnitude representations by allowing space- and time-related neural populations to interact with each other over minimal distances.

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Voxelwise Meta-Analysis of Gray Matter Abnormalities in Mild Cognitive Impairment and Subjective Cognitive Decline Using Activation Likelihood Estimation

Journal of Alzheimer s Disease ◽

10.3233/jad-200659 ◽

2020 ◽

Vol 77 (4) ◽

pp. 1495-1512

Author(s):

Shanshan Chen ◽

Wenwen Xu ◽

Chen Xue ◽

Guanjie Hu ◽

Wenying Ma ◽

...

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Cognitive Decline ◽

Gray Matter ◽

Meta Analysis ◽

Likelihood Estimation ◽

Subjective Cognitive Decline ◽

Activation Likelihood Estimation ◽

Amnestic Mci ◽

The Right

Background: Voxel-based morphometry studies have not yielded consistent results among patients with mild cognitive impairment (MCI) and subjective cognitive decline (SCD). Objective: Therefore, we aimed to conduct a meta-analysis of gray matter (GM) abnormalities acquired from these studies to determine their respective neuroanatomical changes. Methods: We systematically searched for voxel-based whole-brain morphometry studies that compared MCI or SCD subjects with healthy controls in PubMed, Web of Science, and EMBASE databases. We used the coordinate-based method of activation likelihood estimation to determine GM changes in SCD, MCI, and MCI sub-groups (amnestic MCI and non-amnestic MCI). Results: A total of 45 studies were included in our meta-analysis. In the MCI group, we found structural atrophy of the bilateral hippocampus, parahippocampal gyrus (PHG), amygdala, right lateral globus pallidus, right insula, and left middle temporal gyrus. The aMCI group exhibited GM atrophy in the bilateral hippocampus, PHG, and amygdala. The naMCI group presented with structural atrophy in the right putamen, right insula, right precentral gyrus, left medial/superior frontal gyrus, and left anterior cingulate. The right lingual gyrus, right cuneus, and left medial frontal gyrus were atrophic GM regions in the SCD group. Conclusion: Our meta-analysis identified unique patterns of neuroanatomical alternations in both the MCI and SCD group. Structural changes in SCD patients provide new evidence for the notion that subtle impairment of visual function, perception, and cognition may be related to early signs of cognitive impairment. In addition, our findings provide a foundation for future targeted interventions at different stages of preclinical Alzheimer’s disease.

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

10.1101/2021.06.14.448018 ◽

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.

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