Activation Likelihood Estimation Meta-analysis Research Articles

The Common and Different Neural Bases of Distraction and Reinterpretation: A Meta-Analysis of fMRI Studies.

Distraction and reinterpretation have been recognized as two different tactics of emotion regulation. As a tactic of attention deployment, distraction involves shifting attention to neutral information or performing a secondary task to distract attention from emotion stimuli of the primary task. Reinterpretation, a representative tactic of cognitive change, was defined as changing the meaning of a situation to enhance or reduce its emotional impact. Thus, there are significant differences between the two processes. We wondered if the neural mechanisms underlying distraction and reinterpretation are different. Even though their neural correlates have been widely studied with functional magnetic resonance imaging (fMRI), few studies were conducted to compare the two tactics directly. Here we conducted an activation likelihood estimation (ALE) meta-analyses to investigate the common or different neural bases of distraction and reinterpretation. Moreover, we also used the meta-analytic connectivity modeling (MACM) to identify the emotion regulation network of distraction and reinterpretation. Overall, we found that the left dorsal lateral prefrontal cortex (DLPFC) was consistently activated during distraction and reinterpretation, whereas the left amygdala and inferior frontal gyrus/ventrolateral prefrontal cortex (VLPFC) were specifically activated during reinterpretation alone. The results indicate that the neural basis of distraction and reinterpretation are similar but not identical. The MACM results showed that distraction and reinterpretation share a common emotion regulation network, including the bilateral DLPFC, the dorsal medial prefrontal cortex, the inferior parietal lobule, the insula, the left (pre) supplementary motor area, the left middle temporal gyrus, and the right superior temporal gyrus. However, that network may subserve different functions when adopting various emotion regulation strategies. In addition, we suggest that the emotion regulation network of the left VLPFC may be a specific regulatory network for reinterpretation.

Neural substrates of brand equity: applying a quantitative meta-analytical method for neuroimage studies

Although the concept of brand equity has been investigated using various approaches, a comprehensive neural basis for brand equity remains unclear. The default mode network (DMN) as a mental process might influence brand equity related consumers' decision-making, as reported in the marketing literature. While studies on the overlapping regions between the DMN and value-based decision-making related brain regions have been reported in neuroscience literature, relationships between the DMN and a neural mechanism of brand equity have not been clarified. The aim of our study is to identify neural substrates of brand equity and examine brand equity-related mental processes by comparing them to the DMN. To determine the neural substrates of brand equity, we first carried out the activation likelihood estimation (ALE) meta-analysis. We examined 26 studies using branded objects as experimental stimuli for the ALE. Next, we set the output regions from ALE as the region of interest for meta-analytic connectivity modeling (MACM). Further, we compared the brand equity-related brain network (BE-RBN) revealed by the MACM with the DMN. We confirmed that the BE-RBN brain regions overlap with the medial temporal lobule (MTL) sub-system, a module composed of the DMN but excluding the retrosplenial cortex. Further, we discovered that several brain regions apart from the DMN are also distinctive BE-RBN brain regions (i.e., the insula, the inferior frontal gyrus, amygdala, ventral striatum, parietal region). We decoded the BE-RBN brain regions using the BrandMap module. The decoded results revealed that the brand equity-related mental processes are complex constructs integrated via multiple mental processes such as self-referential, reward, emotional, memory, and sensorimotor processing. Our study demonstrated that the DMN alone is insufficient to engage in brand equity-related mental processes. Therefore, marketers are required to make strategic plans to integrate the five consumer's multiple mental processes while building brand equity.

OAB supraspinal control network, transition with age, and effect of treatment: A systematic review.

In light of a better understanding of supraspinal control of nonneurogenic overactive bladder (OAB), the prevalence of which increases with age, functional imaging has gained significant momentum. The objective of this study was to perform a systematic review on the transition of supraspinal control of OAB with age, the effect of therapeutic modalities, and a coordinate-based meta-analysis of all neuroimaging evidence on supraspinal OAB control in response to bladder filling. We performed a systematic literature search of all relevant libraries in November 2021. The coordinates of brain activity were extracted from eligible neuroimaging studies to perform an activation likelihood estimation (ALE)meta-analysis. A total of 16 studies out of 241 were selected for our systematic review. Coordinates were extracted from five experiments involving 70 patients. ALE meta-analysis showed activation of the insula, supplementary motor area, dorsolateral prefrontal cortex, anterior cingulate gyrus, and temporal gyrus with a transition of activation patterns with age, using a threshold of uncorrected p < 0.001. Among young patients, neuroplasticity allows the activation of accessory circuits to maintain continence, as in the cerebellum and temporoparietal lobes. Anticholinergics, pelvic floor muscle training, sacral neuromodulation, and hypnotherapy are correlated with supraspinal changes attributed to adaptability and possibly a substratum of an intrinsic supraspinal component. The latter is better demonstrated by a resting-state functional connectivity analysis, a promising tool to phenotype OAB with recent successful models of predicting severity and response to behavioral treatments. Future neuroimaging studies are necessary to better define an OAB neurosignature to allocate patients to successful treatments.

Imaging Insights of Isolated Idiopathic Dystonia: Voxel-Based Morphometry and Activation Likelihood Estimation Studies.

The understanding of brain structural abnormalities across different clinical forms of dystonia and their contribution to clinical characteristics remains unclear. The objective of this study is to investigate shared and specific gray matter volume (GMV) abnormalities in various forms of isolated idiopathic dystonia. We collected imaging data from 73 isolated idiopathic dystonia patients and matched them with healthy controls to explore the GMV alterations in patients and their correlations with clinical characteristics using the voxel-based morphometry (VBM) technique. In addition, we conducted an activation likelihood estimation (ALE) meta-analysis of previous VBM studies. Our study demonstrated widespread morphometry alterations in patients with idiopathic dystonia. Multiple systems were affected, which mainly included basal ganglia, sensorimotor, executive control, and visual networks. As the result of the ALE meta-analysis, a convergent cluster with increased GMV was found in the left globus pallidus. In subgroup VBM analyses, decreased putamen GMV was observed in all clinic forms, while the increased GMV was observed in parahippocampal, lingual, and temporal gyrus. GD demonstrated the most extensive GMV abnormalities in cortical regions, and the aberrant GMV of the posterior cerebellar lobe was prominent in CD. Moreover, trends of increased GMV regions of the left precuneus and right superior frontal gyrus were demonstrated in the moderate-outcome group compared with the superior-outcome group. Results of our study indicated shared pathophysiology of the disease-centered on the dysfunction of the basal ganglia-thalamo-cortical circuit, impairing sensorimotor integration, high-level motor execution, and cognition of patients. Dysfunction of the cerebello-thalamo-cortical circuit could also be involved in CD especially. Finally, the frontal-parietal pathway may act as a potential marker for predicting treatment outcomes such as deep brain stimulation.

Volume, density, and thickness brain abnormalities in mild cognitive impairment: an ALE meta-analysis controlling for age and education.

Prior meta-analyses have provided important information regarding which brain areas are structurally compromised in individuals with mild cognitive impairment (MCI). These studies have not however separated volume, density, and thickness, controlled for important demographic influences, considered null findings, or recognized studies indicating increased brain volumes in MCI individuals. Furthermore, there is a question as to whether deficits extend into cortical regions, and also into the thalamus. This study aims to address these issues using activation likelihood estimation (ALE) analyses with a sample size more than twice that of prior meta-analyses. A total of 71 studies were identified and entered into the ALE analysis which consisted of 2262 with MCI and 1902 healthy controls. Three major clusters were identified showing decreased gray matter volume in the MCI group compared to controls, with the most salient decreases being in the hippocampus, parahippocampal gyrus, and the amygdala. Reduced thalamic volume was also observed, but to a lesser extent. Density was reduced in the left hippocampus, while thickness was reduced in the uncus. No significant cluster emerged from an ALE meta-analysis of studies finding volume increases in MCI individuals. While the MCI group was significantly older and less educated than controls, controlling for these factors still resulted in significant, albeit attenuated findings. These results support hippocampal and parahippocampal deficits in MCI, and further highlight the amygdala, thalamus, and uncus as other areas to be considered in future MCI studies.

Meta-analytical transdiagnostic neural correlates in common pediatric psychiatric disorders

In the last decades, neuroimaging studies have attempted to unveil the neurobiological markers underlying pediatric psychiatric disorders. Yet, the vast majority of neuroimaging studies still focus on a single nosological category, which limit our understanding of the shared/specific neural correlates between these disorders. Therefore, we aimed to investigate the transdiagnostic neural correlates through a novel and data-driven meta-analytical method. A data-driven meta-analysis was carried out which grouped similar experiments’ topographic map together, irrespectively of nosological categories and task-characteristics. Then, activation likelihood estimation meta-analysis was performed on each group of experiments to extract spatially convergent brain regions. One hundred forty-seven experiments were retrieved (3124 cases compared to 3100 controls): 79 attention-deficit/hyperactivity disorder, 32 conduct/oppositional defiant disorder, 14 anxiety disorders, 22 major depressive disorders. Four significant groups of experiments were observed. Functional characterization suggested that these groups of aberrant brain regions may be implicated internally/externally directed processes, attentional control of affect, somato-motor and visual processes. Furthermore, despite that some differences in rates of studies involving major depressive disorders were noticed, nosological categories were evenly distributed between these four sets of regions. Our results may reflect transdiagnostic neural correlates of pediatric psychiatric disorders, but also underscore the importance of studying pediatric psychiatric disorders simultaneously rather than independently to examine differences between disorders.

Neural correlates of morphological processing: An activation likelihood estimation meta-analysis

BackgroundMorphemes are the smallest building blocks of language that convey meaning or function. A controversial issue in psycho- and neurolinguistics is whether morphologically complex words consisting of multiple morphemes are processed in a combinatorial manner and, if so, which brain regions underlie this process. Relatively less is known about the neural underpinnings of morphological processing compared to other aspects of grammatical competence such as syntax. PurposeThe present study aimed to shed light on the neural correlates of morphological processing by examining functional convergence for inflectional morphology reported in previous neuroimaging studies. MethodA systematic literature search was performed on PubMed with search terms related to morphological complexity and neuroimaging. 16 studies (279 subjects) comparing regular inflection with stems or irregular inflection met the inclusion and exclusion criteria and were subjected to a series of activation likelihood estimation meta-analyses. ResultsSignificant functional convergence was found in several mainly left frontal regions for processing inflectional morphology. Specifically, the left inferior frontal gyrus (LIFG) was found to be consistently involved in morphological complexity. Diagnostic analyses revealed that involvement of posterior LIFG was robust against potential publication bias and over-influence of individual studies. Furthermore, LIFG involvement was maintained in meta-analyses of subsets of experiments that matched phonological complexity between conditions, although diagnostic analyses suggested that this conclusion may be premature. ConclusionThe findings provide evidence for combinatorial processing of morphologically complex words and inform psycholinguistic accounts of complex word processing. Furthermore, they highlight the role of LIFG in processing inflectional morphology, in addition to syntactic processing as has been emphasized in previous research. In particular, posterior LIFG seems to underlie grammatical functions encompassing inflectional morphology and syntax.

Neural Correlates of the Risk for Schizophrenia and Bipolar Disorder: A Meta-analysis of Structural and Functional Neuroimaging Studies

BackgroundClinical features and genetics overlap in schizophrenia (SCZ) and bipolar disorder (BD). Identifying brain alterations associated with genetic vulnerability for SCZ and BD could help to discover intermediate phenotypes, quantifiable biological traits with greater prevalence in unaffected relatives (RELs), and early recognition biomarkers in ultrahigh risk populations. However, a comprehensive meta-analysis of structural and functional magnetic resonance imaging (MRI) studies examining relatives of patients with SCZ and BD has not been performed yet. MethodsWe systematically searched PubMed, Scopus, and Web of Science for structural and functional MRI studies investigating relatives and healthy control subjects. A total of 230 eligible neuroimaging studies (6274 SCZ-RELs, 1900 BD-RELs, 10,789 healthy control subjects) were identified. We conducted coordinate-based activation likelihood estimation meta-analyses on 26 structural MRI and 81 functional MRI investigations, including stratification by task type. We also meta-analyzed regional and global volumetric changes. Finally, we performed a meta-analysis of all MRI studies combined. ResultsReduced thalamic volume was present in both SCZ and BD RELs. Moreover, SCZ-RELs showed alterations in corticostriatal-thalamic networks, spanning the dorsolateral prefrontal cortex and temporal regions, while BD-RELs showed altered thalamocortical and limbic regions, including the ventrolateral prefrontal, superior parietal, and medial temporal cortices, with frontoparietal alterations in RELs of BD type I. ConclusionsFamiliarity for SCZ and BD is associated with alterations in the thalamocortical circuits, which may be the expression of the shared genetic mechanism underlying both disorders. Furthermore, the involvement of different prefrontocortical and temporal nodes may be associated with a differential symptom expression in the two disorders.

Gray Matter Alterations in Pediatric Schizophrenia and Obsessive-Compulsive Disorder: A Systematic Review and Meta-Analysis of Voxel-Based Morphometry Studies.

ObjectiveThe aim of this study is comparing gray matter alterations in SCZ pediatric patients with those suffering from obsessive-compulsive disorder (OCD) based on a systematic review and an activation likelihood estimation (ALE) meta-analysis.MethodsA systematic literature search was performed in PubMed, Elsevier, and China National Knowledge Infrastructure (CNKI). A systematic review and an ALE meta-analysis were performed to quantitatively examine brain gray matter alterations.ResultsChildren and adolescents with schizophrenia had decreased gray matter volume (GMV) mainly in the prefrontal cortex (PFC), temporal cortex (such as the middle temporal gyrus and transverse temporal gyrus), and insula, while children and adolescents with OCD mainly had increased GMV in the PFC and the striatum (including the lentiform nucleus and caudate nucleus), and decreased GMV in the parietal cortex.ConclusionsOur results suggest that gray matter abnormalities in the PFC may indicate homogeneity between the two diseases. In children and adolescents, structural alterations in schizophrenia mainly involve the fronto-temporal and cortico-insula circuits, whereas those in OCD mainly involve the prefrontal-parietal and the prefrontal-striatal circuits.

The neural activities of different emotion carriers and their similarities and differences: A meta-analysis of functional neuroimaging studies

<p id=C6>Emotion recognition has always been a hot topic in psychology. Although some studies have explored the brain mechanisms of dynamic facial expressions, dynamic bodily expressions and emotional voices, empirical studies have their own inevitable defects, which may lead to low statistical test power and effect size and inconsistent results. In addition, the existing meta-analyses of the three emotion carriers still have some deficiencies. Therefore, at present, the overall understanding of the three emotion carriers is relatively incomplete, and the commonness and differences of neural mechanisms among different emotion carriers were still poorly known. So, based on the background of high ecological validity, this study adopted the meta-analysis technique based on large-scale data synthesis method to overcome the above shortcomings. First, three separated activation likelihood estimation (ALE) meta-analyses were used to identify the brain regions activated by each emotion pattern, and then conjunction and contrast analysis of these activation maps were used to assess common and unique neural activity between the three emotion carriers. It is the first time that meta-analysis is used to explore the brain mechanism of dynamic bodily expressions, and it is also the first time that meta-analysis is used to explore the similarities and differences of neural activity among three emotion carriers: dynamic facial expressions, dynamic bodily expressions and emotional voices, and further improves the overall understanding of the neural mechanisms of dynamic facial expressions and emotional voices by previous meta-analyses. The results of single meta-analysis showed that the brain regions of dynamic facial expressions included superior frontal gyrus (SFG), middle frontal gyrus (MFG), inferior frontal gyrus (IFG), precentral gyrus (PG), inferior parietal lobule (IPL), middle occipital gyrus (MOG), inferior occipital gyrus (IOG), fusiform gyrus (FG), superior temporal gyrus (STG), middle temporal gyrus (MTG), inferior temporal gyrus (ITG), parahippocampal gyrus (PHG), cerebellum, amygdala, lentiform nucleus (LN) and insula. Dynamic bodily expressions caused activation of the middle occipital gyrus, inferior occipital gyrus, fusiform gyrus, superior temporal gyrus, middle temporal gyrus, inferior temporal gyrus, cuneus, lingual gyrus (LING), cerebellum, and parahippocampal gyrus. The activation of emotional voices was concentrated in the middle frontal gyrus, inferior frontal gyrus, precentral gyrus, superior temporal gyrus, middle temporal gyrus, heschl’s gyrus (HG), insula, amygdala and caudate nucleus (CN). Conjunction analysis suggested that the left middle temporal gyrus and the right superior temporal gyrus were activated by three emotion carrier across the modalities. The results of the contrast analysis proved that the visual stimuli was more advantaged than the auditory stimuli, especially the dynamic facial expressions, the dynamic bodily expressions also played an important role. However, the emotional voices had their own uniqueness. In sum, these findings validate, support, and extend the existing neural models of the three emotion carriers, revealing a central, universal region of the emotional processing, but with each emotion carrier relying on its own reliable specific neural circuits. This study provides consistent results across studies for researchers of emotional problems, and representative reference coordinate points for future region of interest (ROI) analysis, which is conducive to propose and test hypotheses of future researches, and also is conducive to the identification and neural regulation of patients with emotional disorders. Future researches should further validate and extend these findings to explore the neural mechanisms of emotional processing at different ages and their similarities and differences. In addition, it is necessary to study the brain mechanism of each emotion type and the similarity and difference of neural activity of each emotion in different carriers in the case of sufficient data. Examining the connection of different brain regions, and the different functions of a brain region also is necessary. Meanwhile, it is essential to focus on the neural basis of dynamic bodily expressions.

Affective function of touch and the neurophysiological mechanism

<p id="p00005">Touch is an important sensory channel for individuals to explore the external world in everyday life. The sense of touch helps us to discriminate the location of a stimulus on the skin surface, to identify the shape, size and texture of objects. However, touch can also be affective. The motivational-affective dimension of touch is involved in coding its valence and motivational relevance. This aspect of tactile sensation plays an important role in maintaining social bonding and promoting interpersonal communication. <p id="p00006">The affective function of interpersonal touch can be achieved through unimodal presentations or multimodal information integration processing. That is, tactile action itself, either a strong handshake or a tender hug, can directly convey emotions. Although the accuracy of decoding six basic emotions (anger, fear, happiness, sadness, disgust, and surprise) from interpersonal touch are slightly less than from the facial expression and vocal information, interpersonal touch has advantages in conveying social emotions such as "love", "gratitude" and "sympathy". Such advantages reflect the important significance of affective touch in establishing social bonding and promoting cooperative relationships. Further more, the affective meaning and social attributes carried by interpersonal touch can provide social background for emotion of other modal （e.g., visual or auditory） information processing, so as to enhance participants’ attention and to sharpen their social evaluation of emotional cues. <p id="p00007">Compared with sensory-discriminative subsystem, the motivational-affective subsystem has a special neurophysiological mechanism. For example, C-tactile (CT) afferents are strongly implicated as the neurobiological substrate underlying the affective property of touch. CTs, a class of slowly conducting mechanoreceptors, are specially tuned to the properties of human physical contact. They fire maximally to skin-temperature, light-pressure stroking at a rate of 1-10 cm per s. C-tactile-mediated affective tactile stimulation project in spinothalamic tract (STT) pathway (the spinal signaling of orofacial C-fiber mediated affective touch is still unclear), bypass the primary somatosensory cortex, directly project to the insular cortex, and then process in the amygdala, medial prefrontal cortex (mPFC), posterior superior temporal sulcus (pSTS) and other core areas of the “social brain” neural network. In addition, evidence from EEG research shows that, beta oscillation at parietal scalp sites, may be related to the affective representation of tactile stimuli, and theta oscillation at frontal, parietal, temporal, occipital scalp sites, may reflect an attentional-emotional regulatory mechanism of affective touch. <p id="p00008">Another complex facet of touch is that, affective touch would be complicated by its inextricable links to context, gender and sexuality, culture, and other individual, interpersonal, and societal factors. Moreover, learned from the previous research on facial emotion perception, a considerable body of work about affective touch are also around the topic of coding-decoding of basic emotions, so that the results fail to fully reveal the specificity of tactile channel in transmitting social emotions. Therefore, we should pay more attention to top-down contextual factors in the future researches, such as personal relationship, cultural difference, and social context, that may influence how to define and interpret the emotion and motivation of interpersonal touch. Meanwhile, although the time course of emotional touch perception was explored with electrophysiological measures, however no clear index has been identified till now. In addition, in order to reveal the relevance and independence between the sensory-discriminative and motivational-affective subsystems, such as activation likelihood estimate (ALE) meta-analysis and meta-analytic connectivity modeling (MACM) analysis can be used to reveal the cortical functional neuroanatomy supporting a distinction between affective and discriminative touch.

Shared increased entropy of brain signals across patients with different mental illnesses: A coordinate-based activation likelihood estimation meta-analysis.

Entropy is a measurement of brain signal complexity. Studies have found increased/decreased entropy of brain signals in psychiatric patients. There is no consistent conclusion regarding the relationship between the entropy of brain signals and mental illness. Therefore, this meta-analysis aimed to identify consistent abnormalities in the brain signal entropy in patients with different mental illnesses. We conducted a systematic search to collect resting-state functional magnetic resonance imaging (rs-fMRI) studies in patients with psychiatric disorders. This work identified 9 eligible rs-fMRI studies, which included a total of 14 experiments, 67 activation foci, and 1383 subjects. We tested the convergence across their findings by using the activation likelihood estimation method. P-value maps were corrected by using cluster-level family-wise error p < 0.05 and permuting 2000 times. Results showed that patients with different psychiatric disorders shared commonly increased entropy of brain signals in the left inferior and middle frontal gyri, and the right fusiform gyrus, cuneus, precuneus. No shared alterations were found in the subcortical regions and cerebellum in the patient group. Our findings suggested that the increased entropy of brain signals in the cortex, not subcortical regions and cerebellum, might have associations with the pathophysiology across mental illnesses. This meta-analysis study provided the first comprehensive understanding of the abnormality in brain signal complexity across patients with different psychiatric disorders.

The Neural Basis of Tonal Processing in Music: An ALE Meta-Analysis

Music is used as an important medium for communication in human societies, often times to enhance the emotional meaning of narrative scenarios and ritual events. Music has a number of domain-specific tonal devices for doing this, spanning from scale structure to harmonic progressions and beyond. In order to explore the neural basis of tonal processing in music, we carried out an activation likelihood estimation (ALE) meta-analysis of 20 published functional magnetic resonance imaging studies of tonal cognition, with an emphasis on harmony processing. The most concordant areas of activation across these studies occurred at the junction of the inferior frontal gyrus, anterior insula, and orbitofrontal cortex in Brodmann areas 47 and 13 in the right hemisphere. This region is associated not only with emotion in general, but with the conveyance of affective meanings during communication processes, including speech prosody and music.

A Dysfunctional Descending Pain Modulation System in Chronic Nonspecific Low Back Pain: A Systematic Review and ALE Meta-Analysis

Pain, a physiological protective mechanism, turns into a complex dynamic neural response when it becomes chronic. The role of neuroplastic brain changes is more evident than the peripheral factors in the maintenance, modulation and amplification of chronic low back pain (cLBP). In this background, we summarise the brain changes in cLBP in a coordinate-based activation likelihood estimation (ALE) meta-analysis of previous functional magnetic resonance imaging (fMRI) studies. Databases ('PubMed', 'Scopus' and 'Sleuth') were searched till May 2022 and the activity pattern was noted under the 'without stimulation' and 'with stimulation' groups. A total of 312 studies were selected after removing duplicates. Seventeen (553 cLBP patients, 192 activation foci) studies were fulfilled the eligibility criteria and included in the 'without stimulation' group. Twelve statistically significant clusters are localized in the prefrontal cortex, primary somatosensory cortex, primary motor cortex, parietal cortex, anterior cingulate cortex, caudate, putamen, globus pallidus amygdala, occipital lobe, temporal lobe and associated white matter in this group. Ten studies (353 cLBP patients, 125 activation foci) were selected in the' with stimulation' groups. In this group, seven statistically significant clusters were found in the frontal cortex, orbitofrontal cortex, premotor cortex, parietal cortex, claustrum and insula. These statistically significant clusters indicate a probable imbalance in GABAergic modulation of brain circuits and dysfunction in the descending pain modulation system. This disparity in the pain neuro-matrix is the source of spontaneous and persisting pain in cLBP.

Abnormal brain activity in nonsuicidal self-injury: a coordinate-based activation likelihood meta-analysis of functional neuroimaging studies.

The high prevalence of nonsuicidal self-injury (NSSI) in youths demonstrates a substantial population-level burden on society. NSSI is often associated with emotional and social skill deficits. To date, several studies have aimed to identify the underlying neural mechanism of those deficits in NSSI by using functional magnetic resonance imaging (fMRI). However, their conclusions display poor consistency. We aimed to conduct a meta-analysis using activation likelihood estimation (ALE) for fMRI data based on emotional and cognitive tasks to clarify the underlying neural processing deficits of NSSI. We searched for MRI studies of NSSI in the PubMed, Cochrane, and Embase databases. We identified significant foci for the included studies and conducted two ALE meta-analyses as follows: (i)activation for the NSSI contrast healthy control group and (ii) deactivation for the NSSI contrast healthy controls. Considering the diverse sex composition of study participants and possible bias from one large sample study, we conducted sensitivity analyses for the meta-analysis. Nine studies comprising 359 participants were included, and the results demonstrated substantial activation in NSSI patients compared with healthy controls in two clusters located in the right medial frontal gyrus extending to the rostral anterior cingulate and the left inferior frontal gyrus extending to the insula. The results suggest that individuals with NSSI show brain activity alterations that underpin their core symptoms, including poor emotional regulation and reward processing deficits. Our findings provide new insights into the neural mechanism of NSSI, which may serve as functional biomarkers for developing effective diagnosis and therapeutic interventions for these patients.

Placebo effects and neuromodulation for depression: a meta-analysis and evaluation of shared mechanisms.

There is growing evidence that placebo effects can meaningfully modulate the brain. However, there has been little consideration of whether these changes may overlap with regions/circuits targeted by depression treatments and what the implications of this overlap would be on measuring efficacy in placebo-controlled clinical trials. In this systematic review and meta-analysis, we searched PubMed/Medline and Google Scholar for functional MRI and PET neuroimaging studies of placebo effects. Studies recruiting both healthy subjects and patient populations were included. Neuroimaging coordinates were extracted and included for Activation Likelihood Estimation (ALE) meta-analysis. We then searched for interventional studies of transcranial magnetic stimulation (TMS) and deep brain stimulation (DBS) for depression and extracted target coordinates for comparative spatial analysis with the placebo effects maps. Of 1169 articles identified, 34 neuroimaging studies of placebo effects were included. There were three significant clusters of activation: left dorsolateral prefrontal cortex (DLPFC) (x = -41, y = 16, z = 34), left sub-genual anterior cingulate cortex (sgACC)/ventral striatum (x = -8, y = 18, z = -15) and the right rostral anterior cingulate cortex (rACC) (x = 4, y = 42, z = 10). There were two significant deactivation clusters: right basal ganglia (x = 20, y = 2, z = 7) and right dorsal anterior cingulate cortex (dACC) (x = 1, y = -5, z = 45). TMS and DBS targets for depression treatment overlapped with the left DLPFC cluster and sgACC cluster, respectively. Our findings identify a common set of brain regions implicated in placebo effects across healthy individuals and patient populations, and provide evidence that these regions overlap with depression treatment targets. We model the statistical impacts of this overlap and demonstrate critical implications on measurements of clinical trial efficacy for this field.

Neuroimaging alterations in dementia with Lewy bodies and neuroimaging differences between dementia with Lewy bodies and Alzheimer's disease: An activation likelihood estimation meta-analysis.

AimsThe aim of this study was to identify brain regions with local, structural, and functional abnormalities in dementia with Lewy bodies (DLB) and uncover the differences between DLB and Alzheimer's disease (AD). The neural networks involved in the identified abnormal brain regions were further described.MethodsPubMed, Web of Science, OVID, Science Direct, and Cochrane Library databases were used to identify neuroimaging studies that included DLB versus healthy controls (HCs) or DLB versus AD. The coordinate‐based meta‐analysis and functional meta‐analytic connectivity modeling were performed using the activation likelihood estimation algorithm.ResultsEleven structural studies and fourteen functional studies were included in this quantitative meta‐analysis. DLB patients showed a dysfunction in the bilateral inferior parietal lobule and right lingual gyrus compared with HC patients. DLB patients showed a relative preservation of the medial temporal lobe and a tendency of lower metabolism in the right lingual gyrus compared with AD. The frontal‐parietal, salience, and visual networks were all abnormally co‐activated in DLB, but the default mode network remained normally co‐activated compared with AD.ConclusionsThe convergence of local brain regions and co‐activation neural networks might be potential specific imaging markers in the diagnosis of DLB. This might provide a pathway for the neural regulation in DLB patients, and it might contribute to the development of specific interventions for DLB and AD.

Brain Responses to High-Calorie Visual Food Cues in Individuals with Normal-Weight or Obesity: An Activation Likelihood Estimation Meta-Analysis.

Overconsumption of high-calorie or unhealthy foods commonly leads to weight gain. Understanding people’s neural responses to high-calorie food cues might help to develop better interventions for preventing or reducing overeating and weight gain. In this review, we conducted a coordinate-based meta-analysis of functional magnetic resonance imaging studies of viewing high-calorie food cues in both normal-weight people and people with obesity. Electronic databases were searched for relevant articles, retrieving 59 eligible studies containing 2410 unique participants. The results of an activation likelihood estimation indicate large clusters in a range of structures, including the orbitofrontal cortex (OFC), amygdala, insula/frontal operculum, culmen, as well as the middle occipital gyrus, lingual gyrus, and fusiform gyrus. Conjunction analysis suggested that both normal-weight people and people with obesity activated OFC, supporting that the two groups share common neural substrates of reward processing when viewing high-calorie food cues. The contrast analyses did not show significant activations when comparing obesity with normal-weight. Together, these results provide new important evidence for the neural mechanism underlying high-calorie food cues processing, and new insights into common and distinct brain activations of viewing high-calorie food cues between people with obesity and normal-weight people.

Region-of-interest analysis approaches in neuroimaging studies of body ownership: An activation likelihood estimation meta-analysis.

How do we feel that we own our body? By manipulating the integration of multisensory signals and creating the illusory experience of owning external body parts and entire bodies, researchers have investigated the neurofunctional correlates of body ownership. Recent attempts to synthesize the neuroimaging literature of body ownership through meta-analysis have shown partly inconsistent results. A large proportion of functional magnetic resonance imaging (fMRI) findings on body ownership include analyses based on regions of interest (ROIs). This approach can produce inflated findings when results are synthesized in meta-analyses. We conducted a systematic search of the fMRI literature of ownership of body parts and entire bodies. Three activation likelihood estimation (ALE) meta-analyses were conducted, testing the impact of including ROI-based findings. When both whole-brain and ROI-based results were included, frontal and posterior parietal multisensory areas were associated with body ownership. When only ROI-based results were included, larger areas of the frontal and posterior parietal cortices and the middle occipital gyrus were associated with body ownership. A whole-brain meta-analysis, excluding ROI-based results, found no significant convergence of activation across the brain. These findings highlight the difficulty of quantitatively synthesizing a neuroimaging field where a large part of the literature is based on findings from ROI-based analyses. We discuss these findings in the light of current practices within this field of research and highlight current problems of meta-analytic approaches of body ownership. We recommend the sharing of unthresholded data as a means to facilitate future meta-analyses of the neuroimaging literature of body ownership.

Common functional brain networks between attention deficit and disruptive behaviors in youth

Attention deficits (AD) and disruptive behavior (DB) are highly comorbid youth externalizing behaviors. This study aimed to study reliable functional brain networks shared by AD and DB in youth aged from 8 to 21 years from the Philadelphia Neurodevelopmental Cohort (PNC). The PNC study assessed AD and DB behaviors via Kiddie-Schedule for Affective Disorders and Schizophrenia (K-SADS). This study employed sparse canonical correlation analysis (SCCA) to examine the correlation of AD and DB behaviors with resting-state functional connectivity maps of the brain regions identified via activation likelihood estimation (ALE) meta-analyses on attention deficit/hyperactivity disorder (ADHD) and DB disorder (DBD). Our meta-analyses identified that the middle cingulate cortex, pre-supplementary motor area (pre-SMA), and striatum had a great consensus in existing ADHD studies and the amygdala and inferior parietal lobule were consistently found in existing DBD studies. Our SCCA analysis revealed that the AD and DB behavioral items relevant to inattention and delinquency were correlated with the functional connectivity of the pre-SMA with the ventral attentional and frontoparietal networks (FPN), and the striatum with the default mode (DMN) and dorsal attentional networks. The AD and DB behavioral items relevant to inattention and irritability were associated with the functional connectivity between the amygdala and the DMN and FPN. Our findings suggest that the functional organization of the ADHD- and DBD-related brain regions provides insights on the shared neural basis in AD and DB.