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Feng C, Liu Q, Huang C, Li T, Wang L, Liu F, Eickhoff SB, Qu C. Common neural dysfunction of economic decision-making across psychiatric conditions. Neuroimage 2024; 294:120641. [PMID: 38735423 DOI: 10.1016/j.neuroimage.2024.120641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 04/29/2024] [Accepted: 05/09/2024] [Indexed: 05/14/2024] Open
Abstract
Adaptive decision-making, which is often impaired in various psychiatric conditions, is essential for well-being. Recent evidence has indicated that decision-making capacity in multiple tasks could be accounted for by latent dimensions, enlightening the question of whether there is a common disruption of brain networks in economic decision-making across psychiatric conditions. Here, we addressed the issue by combining activation/lesion network mapping analyses with a transdiagnostic brain imaging meta-analysis. Our findings indicate that there were transdiagnostic alterations in the thalamus and ventral striatum during the decision or outcome stage of decision-making. The identified regions represent key nodes in a large-scale network, which is composed of multiple heterogeneous brain regions and plays a causal role in motivational functioning. The findings suggest that disturbances in the network associated with emotion- and reward-related processing play a key role in dysfunctions of decision-making observed in various psychiatric conditions. This study provides the first meta-analytic evidence of common neural alterations linked to deficits in economic decision-making.
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Affiliation(s)
- Chunliang Feng
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, 510631, China; School of Psychology, South China Normal University, Guangzhou, 510631, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China.
| | - Qingxia Liu
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, 510631, China; School of Psychology, South China Normal University, Guangzhou, 510631, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Chuangbing Huang
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, 510631, China; School of Psychology, South China Normal University, Guangzhou, 510631, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Ting Li
- Institute of Brain and Psychological Science, Sichuan Normal University, Chengdu, 610066, China
| | - Li Wang
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, 510631, China; School of Psychology, South China Normal University, Guangzhou, 510631, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Feilong Liu
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, 510631, China; School of Psychology, South China Normal University, Guangzhou, 510631, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, 40225, Germany; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, 52428, Germany
| | - Chen Qu
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, 510631, China; School of Psychology, South China Normal University, Guangzhou, 510631, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China.
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2
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Tao Y, Schubert T, Wiley R, Stark C, Rapp B. Cortical and Subcortical Mechanisms of Orthographic Word-form Learning. J Cogn Neurosci 2024; 36:1071-1098. [PMID: 38527084 DOI: 10.1162/jocn_a_02147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
We examined the initial stages of orthographic learning in real time as literate adults learned spellings for spoken pseudowords during fMRI scanning. Participants were required to learn and store orthographic word forms because the pseudoword spellings were not uniquely predictable from sound to letter mappings. With eight learning trials per word form, we observed changes in the brain's response as learning was taking place. Accuracy was evaluated during learning, immediately after scanning, and 1 week later. We found evidence of two distinct learning systems-hippocampal and neocortical-operating during orthographic learning, consistent with the predictions of dual systems theories of learning/memory such as the complementary learning systems framework [McClelland, J. L., McNaughton, B. L., & O'Reilly, R. C. Why there are complementary learning systems in the hippocampus and neocortex: Insights from the successes and failures of connectionist models of learning and memory. Psychological Review, 102, 419-457, 1995]. The bilateral hippocampus and the visual word form area (VWFA) showed significant BOLD response changes over learning, with the former exhibiting a rising pattern and the latter exhibiting a falling pattern. Moreover, greater BOLD signal increase in the hippocampus was associated with better postscan recall. In addition, we identified two distinct bilateral brain networks that mirrored the rising and falling patterns of the hippocampus and VWFA. Functional connectivity analysis revealed that regions within each network were internally synchronized. These novel findings highlight, for the first time, the relevance of multiple learning systems in orthographic learning and provide a paradigm that can be used to address critical gaps in our understanding of the neural bases of orthographic learning in general and orthographic word-form learning specifically.
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Ullman MT, Clark GM, Pullman MY, Lovelett JT, Pierpont EI, Jiang X, Turkeltaub PE. The neuroanatomy of developmental language disorder: a systematic review and meta-analysis. Nat Hum Behav 2024; 8:962-975. [PMID: 38491094 DOI: 10.1038/s41562-024-01843-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 02/01/2024] [Indexed: 03/18/2024]
Abstract
Developmental language disorder (DLD) is a common neurodevelopmental disorder with adverse impacts that continue into adulthood. However, its neural bases remain unclear. Here we address this gap by systematically identifying and quantitatively synthesizing neuroanatomical studies of DLD using co-localization likelihood estimation, a recently developed neuroanatomical meta-analytic technique. Analyses of structural brain data (22 peer-reviewed papers, 577 participants) revealed highly consistent anomalies only in the basal ganglia (100% of participant groups in which this structure was examined, weighted by group sample sizes; 99.8% permutation-based likelihood the anomaly clustering was not due to chance). These anomalies were localized specifically to the anterior neostriatum (again 100% weighted proportion and 99.8% likelihood). As expected given the task dependence of activation, functional neuroimaging data (11 peer-reviewed papers, 414 participants) yielded less consistency, though anomalies again occurred primarily in the basal ganglia (79.0% and 95.1%). Multiple sensitivity analyses indicated that the patterns were robust. The meta-analyses elucidate the neuroanatomical signature of DLD, and implicate the basal ganglia in particular. The findings support the procedural circuit deficit hypothesis of DLD, have basic research and translational implications for the disorder, and advance our understanding of the neuroanatomy of language.
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Affiliation(s)
- Michael T Ullman
- Brain and Language Laboratory, Department of Neuroscience, Georgetown University, Washington DC, USA.
| | - Gillian M Clark
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Mariel Y Pullman
- Brain and Language Laboratory, Department of Neuroscience, Georgetown University, Washington DC, USA
- Mount Sinai Beth Israel, New York, NY, USA
| | - Jarrett T Lovelett
- Brain and Language Laboratory, Department of Neuroscience, Georgetown University, Washington DC, USA
- Department of Psychology, University of California, San Diego, La Jolla, CA, USA
| | - Elizabeth I Pierpont
- Department of Pediatrics, University of Minnesota Medical Center, Minneapolis, MN, USA
| | - Xiong Jiang
- Department of Neuroscience, Georgetown University, Washington DC, USA
| | - Peter E Turkeltaub
- Center for Brain Plasticity and Recovery, Georgetown University, Washington DC, USA
- Research Division, MedStar National Rehabilitation Network, Washington DC, USA
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Wang M, Deng Y, Liu Y, Suo T, Guo B, Eickhoff SB, Xu J, Rao H. The common and distinct brain basis associated with adult and adolescent risk-taking behavior: Evidence from the neuroimaging meta-analysis. Neurosci Biobehav Rev 2024; 160:105607. [PMID: 38428473 DOI: 10.1016/j.neubiorev.2024.105607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 02/25/2024] [Accepted: 02/26/2024] [Indexed: 03/03/2024]
Abstract
Risk-taking is a common, complex, and multidimensional behavior construct that has significant implications for human health and well-being. Previous research has identified the neural mechanisms underlying risk-taking behavior in both adolescents and adults, yet the differences between adolescents' and adults' risk-taking in the brain remain elusive. This study firstly employs a comprehensive meta-analysis approach that includes 73 adult and 20 adolescent whole-brain experiments, incorporating observations from 1986 adults and 789 adolescents obtained from online databases, including Web of Science, PubMed, ScienceDirect, Google Scholar and Neurosynth. It then combines functional decoding methods to identify common and distinct brain regions and corresponding psychological processes associated with risk-taking behavior in these two cohorts. The results indicated that the neural bases underlying risk-taking behavior in both age groups are situated within the cognitive control, reward, and sensory networks. Subsequent contrast analysis revealed that adolescents and adults risk-taking engaged frontal pole within the fronto-parietal control network (FPN), but the former recruited more ventrolateral area and the latter recruited more dorsolateral area. Moreover, adolescents' risk-taking evoked brain area activity within the ventral attention network (VAN) and the default mode network (DMN) compared with adults, consistent with the functional decoding analyses. These findings provide new insights into the similarities and disparities of risk-taking neural substrates underlying different age cohorts, supporting future neuroimaging research on the dynamic changes of risk-taking.
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Affiliation(s)
- Mengmeng Wang
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China; Business School, NingboTech University, Ningbo, China
| | - Yao Deng
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China; State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Yingying Liu
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China
| | | | - Bowen Guo
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine, Brain and Behavior (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Jing Xu
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China.
| | - Hengyi Rao
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China; Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
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Wang Y, Yao X. Neural correlates of willingness to pay for items: A meta-analysis of functional magnetic resonance imaging studies. Physiol Behav 2024; 278:114481. [PMID: 38369217 DOI: 10.1016/j.physbeh.2024.114481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 01/21/2024] [Accepted: 01/31/2024] [Indexed: 02/20/2024]
Abstract
Willingness to pay (WTP) pervades every marketplace transaction, therefore, understanding how the brain makes bidding decisions is essential in consumer neuroscience. Although some neuroimaging studies have investigated the neural networks of WTP, systematic understanding remains limited. This study identified reliable neural networks activated by the WTP across different reward types and assessed common and distinct neural networks for different reward types (food and other) bids. We conducted an activation likelihood estimation (ALE) meta-analysis on WTP across different reward types (25 studies; 254 foci; 705 participants), and to compared neural representations of WTP for food reward (22 studies; 232 foci; 628 participants) and other rewards (7 studies, 61 foci; 177 participants). The ALE results revealed that the brain centers of WTP for different rewards mainly consist of the bilateral inferior frontal gyrus (IFG), bilateral insula, bilateral anterior cingulate cortex (ACC), along with the left caudate. This suggests that neural networks encoding WTP for different rewards consist of brain regions associated with reward processing, cost-benefit calculations, and goal-directed action activities. In addition, consistent activation of the bilateral IFG and bilateral insula for food but no other rewards bids suggest their involvement in the neural network of appetite. WTP for food and other rewards commonly activated ACC, suggesting a common region encoding bids for different rewards. Our findings provide novel insights into neural networks associated with WTP for food and other rewards bids and the mechanisms underlying WTP across different reward types.
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Affiliation(s)
- Yiwen Wang
- School of Economics and Management, Fuzhou University, Fuzhou, 350108, China; Institute of Psychological and Cognitive Sciences, Fuzhou University, Fuzhou, 350108, China.
| | - Xiaoqiang Yao
- School of Economics and Management, Fuzhou University, Fuzhou, 350108, China; Institute of Psychological and Cognitive Sciences, Fuzhou University, Fuzhou, 350108, China
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Rong D, Hu CP, Yang J, Guo Z, Liu W, Yu M. Consistent abnormal activity in the putamen by dopamine modulation in Parkinson's disease: A resting-state neuroimaging meta-analysis. Brain Res Bull 2024; 210:110933. [PMID: 38508469 DOI: 10.1016/j.brainresbull.2024.110933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 02/16/2024] [Accepted: 03/17/2024] [Indexed: 03/22/2024]
Abstract
OBJECTIVE This study aimed to elucidate brain areas mediated by oral anti-parkinsonian medicine that consistently show abnormal resting-state activation in PD and to reveal their functional connectivity profiles using meta-analytic approaches. METHODS Searches of the PubMed, Web of Science databases identified 78 neuroimaging studies including PD OFF state (PD-OFF) versus (vs.) PD ON state (PD-ON) or PD-ON versus healthy controls (HCs) or PD-OFF versus HCs data. Coordinate-based meta-analysis and functional meta-analytic connectivity modeling (MACM) were performed using the activation likelihood estimation algorithm. RESULTS Brain activation in PD-OFF vs. PD-ON was significantly changed in the right putamen and left inferior parietal lobule (IPL). Contrast analysis indicated that PD-OFF vs. HCs had more consistent activation in the right paracentral lobule, right middle frontal gyrus, right thalamus, left superior parietal lobule and right putamen, whereas PD-ON vs. HCs elicited more consistent activation in the bilateral middle temporal gyrus, left occipital gyrus, right inferior frontal gyrus and right caudate. MACM revealed coactivation of the right putamen in the direct contrast of PD-OFF vs. PD-ON. Subtraction analysis of significant coactivation clusters for PD-OFF vs. PD-ON with the medium of HCs showed effects in the sensorimotor, top-down control, and visual networks. By overlapping the MACM maps of the two analytical strategies, we demonstrated that the coactivated brain region focused on the right putamen. CONCLUSIONS The convergence of local brain regions and co-activation neural networks are involved the putamen, suggesting its potential as a specific imaging biomarker to monitor treatment efficacy. SYSTEMATIC REVIEW REGISTRATION [https://www.crd.york.ac.uk/PROSPERO/], identifier [CRD CRD42022304150].
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Affiliation(s)
- Danyan Rong
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, No.264, Guangzhou Road, Gulou District, Nanjing, Jiangsu 210029, China
| | - Chuan-Peng Hu
- School of Psychology, Nanjing Normal University, No.122, Ninghai Road, Gulou District, Nanjing, Jiangsu 210024, China
| | - Jiaying Yang
- Department of Public Health, School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, No.138, Xianlin Road, Nanjing, Jiangsu 210023, China
| | - Zhiying Guo
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, No.264, Guangzhou Road, Gulou District, Nanjing, Jiangsu 210029, China
| | - Weiguo Liu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, No.264, Guangzhou Road, Gulou District, Nanjing, Jiangsu 210029, China.
| | - Miao Yu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, No.264, Guangzhou Road, Gulou District, Nanjing, Jiangsu 210029, China.
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Tilton-Bolowsky V, Stockbridge MD, Hillis AE. Remapping and Reconnecting the Language Network after Stroke. Brain Sci 2024; 14:419. [PMID: 38790398 PMCID: PMC11117613 DOI: 10.3390/brainsci14050419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 04/22/2024] [Accepted: 04/23/2024] [Indexed: 05/26/2024] Open
Abstract
Here, we review the literature on neurotypical individuals and individuals with post-stroke aphasia showing that right-hemisphere regions homologous to language network and other regions, like the right cerebellum, are activated in language tasks and support language even in healthy people. We propose that language recovery in post-stroke aphasia occurs largely by potentiating the right hemisphere network homologous to the language network and other networks that previously supported language to a lesser degree and by modulating connection strength between nodes of the right-hemisphere language network and undamaged nodes of the left-hemisphere language network. Based on this premise (supported by evidence we review), we propose that interventions should be aimed at potentiating the right-hemisphere language network through Hebbian learning or by augmenting connections between network nodes through neuroplasticity, such as non-invasive brain stimulation and perhaps modulation of neurotransmitters involved in neuroplasticity. We review aphasia treatment studies that have taken this approach. We conclude that further aphasia rehabilitation with this aim is justified.
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Affiliation(s)
| | | | - Argye E. Hillis
- Departments of Neurology, Physical Medicine & Rehabilitation, and Cognitive Science, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (V.T.-B.); (M.D.S.)
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Ou CH, Cheng CS, Lin PL, Lee CL. Grey matter alterations in generalized anxiety disorder: A voxel-wise meta-analysis of voxel-based morphometry studies. Int J Dev Neurosci 2024. [PMID: 38638086 DOI: 10.1002/jdn.10330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 03/09/2024] [Accepted: 03/26/2024] [Indexed: 04/20/2024] Open
Abstract
OBJECTIVE Grey matter, a crucial component of the brain, has been found altered in generalized anxiety disorder (GAD) of several voxel-based morphometry studies. The conclusive and consistent grey matter alterations in GAD have not been confirmed. METHOD Eleven voxel-based morphometry studies of GAD patients were included in the current systematic review and meta-analysis. The linear model of anxiety severity scores was applied to explore the relationship of grey matter alterations and anxiety severity. The subgroup analysis of adult GAD and adolescent GAD was also performed. RESULTS Significantly modest grey matter alterations in the left superior temporal gyrus of patients with GAD were found. The anxiety severity score was significantly correlated with grey matter alterations in the right insula, lenticular nucleus, putamen and striatum. The subgroup analysis of adult GAD and adolescent GAD all failed to show significant grey matter alterations. However, in the adult GAD subgroup, anxiety severity score was significantly correlated with grey matter alterations in the right insula. CONCLUSION GAD might have the modest grey matter alterations in the left superior temporal gyrus. Anxiety severity might be related to the grey matter alterations in the limbic regions, such as the right insula, lenticular nucleus, putamen and striatum. This kind of correlation might be related to the effects of adult GAD. Future studies with adequate sample sizes and sophisticated GAD categories will be needed.
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Affiliation(s)
- Chang-Hsien Ou
- Department of Neuroradiology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Chiu-Shih Cheng
- Department of Neuroradiology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Pei-Ling Lin
- Department of Neuroradiology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Cheng-Lung Lee
- Department of Neuroradiology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
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Seoane S, van den Heuvel M, Acebes Á, Janssen N. The subcortical default mode network and Alzheimer's disease: a systematic review and meta-analysis. Brain Commun 2024; 6:fcae128. [PMID: 38665961 PMCID: PMC11043657 DOI: 10.1093/braincomms/fcae128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 02/28/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
The default mode network is a central cortical brain network suggested to play a major role in several disorders and to be particularly vulnerable to the neuropathological hallmarks of Alzheimer's disease. Subcortical involvement in the default mode network and its alteration in Alzheimer's disease remains largely unknown. We performed a systematic review, meta-analysis and empirical validation of the subcortical default mode network in healthy adults, combined with a systematic review, meta-analysis and network analysis of the involvement of subcortical default mode areas in Alzheimer's disease. Our results show that, besides the well-known cortical default mode network brain regions, the default mode network consistently includes subcortical regions, namely the thalamus, lobule and vermis IX and right Crus I/II of the cerebellum and the amygdala. Network analysis also suggests the involvement of the caudate nucleus. In Alzheimer's disease, we observed a left-lateralized cluster of decrease in functional connectivity which covered the medial temporal lobe and amygdala and showed overlap with the default mode network in a portion covering parts of the left anterior hippocampus and left amygdala. We also found an increase in functional connectivity in the right anterior insula. These results confirm the consistency of subcortical contributions to the default mode network in healthy adults and highlight the relevance of the subcortical default mode network alteration in Alzheimer's disease.
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Affiliation(s)
- Sara Seoane
- Department of Complex Traits Genetics, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands
- Institute of Biomedical Technologies (ITB), University of La Laguna, Tenerife 38200, Spain
- Instituto Universitario de Neurociencia (IUNE), University of La Laguna, Tenerife 38200, Spain
| | - Martijn van den Heuvel
- Department of Complex Traits Genetics, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands
- Department of Child and Adolescent Psychiatry and Psychology, Section Complex Trait Genetics, Amsterdam Neuroscience, Vrije Universiteit Medical Center, Amsterdam UMC, Amsterdam 1081 HV, The Netherlands
| | - Ángel Acebes
- Institute of Biomedical Technologies (ITB), University of La Laguna, Tenerife 38200, Spain
- Department of Basic Medical Sciences, University of La Laguna, Tenerife 38200, Spain
| | - Niels Janssen
- Institute of Biomedical Technologies (ITB), University of La Laguna, Tenerife 38200, Spain
- Instituto Universitario de Neurociencia (IUNE), University of La Laguna, Tenerife 38200, Spain
- Department of Cognitive, Social and Organizational Psychology, University of La Laguna, Tenerife 38200, Spain
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Sulpizio V, Teghil A, Pitzalis S, Boccia M. Common and specific activations supporting optic flow processing and navigation as revealed by a meta-analysis of neuroimaging studies. Brain Struct Funct 2024:10.1007/s00429-024-02790-8. [PMID: 38592557 DOI: 10.1007/s00429-024-02790-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 03/12/2024] [Indexed: 04/10/2024]
Abstract
Optic flow provides useful information in service of spatial navigation. However, whether brain networks supporting these two functions overlap is still unclear. Here we used Activation Likelihood Estimation (ALE) to assess the correspondence between brain correlates of optic flow processing and spatial navigation and their specific neural activations. Since computational and connectivity evidence suggests that visual input from optic flow provides information mainly during egocentric navigation, we further tested the correspondence between brain correlates of optic flow processing and that of both egocentric and allocentric navigation. Optic flow processing shared activation with egocentric (but not allocentric) navigation in the anterior precuneus, suggesting its role in providing information about self-motion, as derived from the analysis of optic flow, in service of egocentric navigation. We further documented that optic flow perception and navigation are partially segregated into two functional and anatomical networks, i.e., the dorsal and the ventromedial networks. Present results point to a dynamic interplay between the dorsal and ventral visual pathways aimed at coordinating visually guided navigation in the environment.
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Affiliation(s)
- Valentina Sulpizio
- Department of Psychology, Sapienza University, Rome, Italy
- Department of Humanities, Education and Social Sciences, University of Molise, Campobasso, Italy
| | - Alice Teghil
- Department of Psychology, Sapienza University, Rome, Italy
- Department of Cognitive and Motor Rehabilitation and Neuroimaging, Santa Lucia Foundation (IRCCS Fondazione Santa Lucia), Rome, Italy
| | - Sabrina Pitzalis
- Department of Cognitive and Motor Rehabilitation and Neuroimaging, Santa Lucia Foundation (IRCCS Fondazione Santa Lucia), Rome, Italy
- Department of Movement, Human and Health Sciences, University of Rome ''Foro Italico'', Rome, Italy
| | - Maddalena Boccia
- Department of Psychology, Sapienza University, Rome, Italy.
- Department of Cognitive and Motor Rehabilitation and Neuroimaging, Santa Lucia Foundation (IRCCS Fondazione Santa Lucia), Rome, Italy.
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Bortolini T, Laport MC, Latgé-Tovar S, Fischer R, Zahn R, de Oliveira-Souza R, Moll J. The extended neural architecture of human attachment: An fMRI coordinate-based meta-analysis of affiliative studies. Neurosci Biobehav Rev 2024; 159:105584. [PMID: 38367888 DOI: 10.1016/j.neubiorev.2024.105584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/30/2024] [Accepted: 02/12/2024] [Indexed: 02/19/2024]
Abstract
Functional imaging studies and clinical evidence indicate that cortical areas relevant to social cognition are closely integrated with evolutionarily conserved basal forebrain structures and neighboring regions, enabling human attachment and affiliative emotions. The neural circuitry of human affiliation is continually being unraveled as functional magnetic resonance imaging (fMRI) becomes increasingly prevalent, with studies examining human brain responses to various attachment figures. However, previous fMRI meta-analyses on affiliative stimuli have encountered challenges, such as low statistical power and the absence of robustness measures. To address these issues, we conducted an exhaustive coordinate-based meta-analysis of 79 fMRI studies, focusing on personalized affiliative stimuli, including one's infants, family, romantic partners, and friends. We employed complementary coordinate-based analyses (Activation Likelihood Estimation and Signed Differential Mapping) and conducted a robustness analysis of the results. Findings revealed cluster convergence in cortical and subcortical structures related to reward and motivation, salience detection, social bonding, and cognition. Our study thoroughly explores the neural correlates underpinning affiliative responses, effectively overcoming the limitations noted in previous meta-analyses. It provides an extensive view of the neural substrates associated with affiliative stimuli, illuminating the intricate interaction between cortical and subcortical regions. Our findings significantly contribute to understanding the neurobiology of human affiliation, expanding the known human attachment circuitry beyond the traditional basal forebrain regions observed in other mammals to include uniquely human isocortical structures.
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Affiliation(s)
- Tiago Bortolini
- Cognitive Neuroscience and Neuroinformatics Unit, The D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil; IDOR - Pioneer Science Initiative, São Paulo, Brazil.
| | - Maria Clara Laport
- Cognitive Neuroscience and Neuroinformatics Unit, The D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
| | - Sofia Latgé-Tovar
- Institute of Psychiatry, Center for Alzheimer's Disease, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil
| | - Ronald Fischer
- Cognitive Neuroscience and Neuroinformatics Unit, The D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil; IDOR - Pioneer Science Initiative, São Paulo, Brazil; School of Psychology, PO Box 600, Victoria University of Wellington, Wellington 6021, New Zealand
| | - Roland Zahn
- Centre for Affective Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK
| | - Ricardo de Oliveira-Souza
- Cognitive Neuroscience and Neuroinformatics Unit, The D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil; The Federal University of the State of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Jorge Moll
- Cognitive Neuroscience and Neuroinformatics Unit, The D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil; IDOR - Pioneer Science Initiative, São Paulo, Brazil
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12
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Testa G, Sotgiu I, Rusconi ML, Cauda F, Costa T. The Functional Neuroimaging of Autobiographical Memory for Happy Events: A Coordinate-Based Meta-Analysis. Healthcare (Basel) 2024; 12:711. [PMID: 38610134 PMCID: PMC11011908 DOI: 10.3390/healthcare12070711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 02/14/2024] [Accepted: 03/21/2024] [Indexed: 04/14/2024] Open
Abstract
Neuroimaging studies using autobiographical recall methods investigated the neural correlates of happy autobiographical memories (AMs). The scope of the present activation likelihood estimation (ALE) meta-analysis was to quantitatively analyze neuroimaging studies of happy AMs conducted with autobiographical recall paradigms. A total of 17 studies (12 fMRI; 5 PET) on healthy individuals were included in this meta-analysis. During recall of happy life events, consistent activation foci were found in the frontal gyrus, the cingulate cortex, the basal ganglia, the parahippocampus/hippocampus, the hypothalamus, and the thalamus. The result of this quantitative coordinate-based ALE meta-analysis provides an objective view of brain responses associated with AM recollection of happy events, thus identifying brain areas consistently activated across studies. This extended brain network included frontal and limbic regions involved in remembering emotionally relevant positive events. The frontal gyrus and the cingulate cortex may be responsible for cognitive appraisal processes during recollection of happy AMs, while the subthalamic nucleus and globus pallidus may be involved in pleasure reactions associated with recollection of happy life events. These findings shed light on the neural network involved in recalling positive AMs in healthy individuals, opening further avenues for future research in clinical populations with mood disorders.
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Affiliation(s)
- Giulia Testa
- Instituto de Transferencia e Investigación, Universidad Internacional de La Rioja, 26004 La Rioja, Spain
| | - Igor Sotgiu
- Department of Human and Social Sciences, University of Bergamo, 24129 Bergamo, Italy; (I.S.); (M.L.R.)
| | - Maria Luisa Rusconi
- Department of Human and Social Sciences, University of Bergamo, 24129 Bergamo, Italy; (I.S.); (M.L.R.)
| | - Franco Cauda
- Department of Psychology, University of Turin, 10124 Turin, Italy; (F.C.); (T.C.)
- GCS-fMRI Research Group, Koelliker Hospital, 10134 Turin, Italy
| | - Tommaso Costa
- Department of Psychology, University of Turin, 10124 Turin, Italy; (F.C.); (T.C.)
- GCS-fMRI Research Group, Koelliker Hospital, 10134 Turin, Italy
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13
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Scalabrini A, Cavicchioli M, Benedetti F, Mucci C, Northoff G. The nested hierarchical model of self and its non-relational vs relational posttraumatic manifestation: an fMRI meta-analysis of emotional processing. Mol Psychiatry 2024:10.1038/s41380-024-02520-w. [PMID: 38514803 DOI: 10.1038/s41380-024-02520-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 02/29/2024] [Accepted: 03/04/2024] [Indexed: 03/23/2024]
Abstract
Different kinds of traumatic experiences like natural catastrophes vs. relational traumatic experiences (e.g., sex/physical abuse, interpersonal partner violence) are involved in the development of the self and PTSD psychopathological manifestations. Looking at a neuroscience approach, it has been proposed a nested hierarchical model of self, which identifies three neural-mental networks: (i) interoceptive; (ii) exteroceptive; (iii) mental. However, it is still unclear how the self and its related brain networks might be affected by non-relational vs relational traumatic experiences. Departing from this background, the current study aims at conducting a meta-analytic review of task-dependent fMRI studies (i.e., emotional processing task) among patients with PTSD due to non-relational (PTSD-NR) and relational (PTSD-R) traumatic experiences using two approaches: (i) a Bayesian network meta-analysis for a region-of-interest-based approach; (ii) a coordinated-based meta-analysis. Our findings suggested that the PTSD-NR mainly recruited areas ascribed to the mental self to process emotional stimuli. Whereas, the PTSD-R mainly activated regions associated with the intero-exteroceptive self. Accordingly, the PTSD-R compared to the PTSD-NR might not reach a higher symbolic capacity to process stimuli with an emotional valence. These results are also clinically relevant in support of the development of differential treatment approaches for non-relational vs. relational PTSD.
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Affiliation(s)
- Andrea Scalabrini
- Department of Human and Social Sciences, University of Bergamo, P.le S. Agostino, 2, Bergamo, 24129, Italy.
| | - Marco Cavicchioli
- University Vita- Salute San Raffaele, Milan, Via Olgettina, 58, Milan, 20132, Italy.
| | - Francesco Benedetti
- University Vita- Salute San Raffaele, Milan, Via Olgettina, 58, Milan, 20132, Italy
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Clara Mucci
- Department of Human and Social Sciences, University of Bergamo, P.le S. Agostino, 2, Bergamo, 24129, Italy
| | - Georg Northoff
- The Royal's Institute of Mental Health Research & University of Ottawa. Brain and Mind Research Institute, Centre for Neural Dynamics, Faculty of Medicine, University of Ottawa, Ottawa, 145 Carling Avenue, Rm. 6435, Ottawa, ON, K1Z 7K412, Canada
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14
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Vin R, Blauch NM, Plaut DC, Behrmann M. Visual word processing engages a hierarchical, distributed, and bilateral cortical network. iScience 2024; 27:108809. [PMID: 38303718 PMCID: PMC10831251 DOI: 10.1016/j.isci.2024.108809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 12/20/2023] [Accepted: 01/02/2024] [Indexed: 02/03/2024] Open
Abstract
Although the Visual Word Form Area (VWFA) in left temporal cortex is considered the pre-eminent region in visual word processing, other regions are also implicated. We examined the entire text-selective circuit, using functional MRI. Ten regions of interest (ROIs) per hemisphere were defined, which, based on clustering, grouped into early vision, high-level vision, and language clusters. We analyzed the responses of the ROIs and clusters to words, inverted words, and consonant strings using univariate, multivariate, and functional connectivity measures. Bilateral modulation by stimulus condition was evident, with a stronger effect in left hemisphere regions. Last, using graph theory, we observed that the VWFA was equivalently connected with early visual and language clusters in both hemispheres, reflecting its role as a mediator in the circuit. Although the individual ROIs and clusters bilaterally were flexibly altered by the nature of the input, stability held at the level of global circuit connectivity, reflecting the complex hierarchical distributed system serving visual text perception.
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Affiliation(s)
- Raina Vin
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT 06520, USA
| | - Nicholas M. Blauch
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Program in Neural Computation, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - David C. Plaut
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Marlene Behrmann
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA 15219, USA
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15
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Mattavelli G, Gorrino I, Tornaghi D, Canessa N. Cognitive and motor impulsivity in the healthy brain, and implications for eating disorders and obesity: A coordinate-based meta-analysis and systematic review. Cortex 2024; 171:90-112. [PMID: 37984247 DOI: 10.1016/j.cortex.2023.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 05/10/2023] [Accepted: 10/25/2023] [Indexed: 11/22/2023]
Abstract
Alterations in the impulse-control balance, and in its neural bases, have been reported in obesity and eating disorders (EDs). Neuroimaging studies suggest a role of fronto-parietal networks in impulsive behaviour, with evaluation and anticipatory processes additionally recruiting meso-limbic regions. However, whether distinct facets of cognitive and motor impulsivity involve common vs. specific neural correlates remains unclear. We addressed this issue through Activation Likelihood Estimation (ALE) meta-analyses of fMRI studies on delay discounting (DD) and go/no-go (GNG) tasks, alongside conjunction and subtraction analyses. We also performed systematic reviews of neuroimaging studies using the same tasks in individuals with obesity or EDs. ALE results showed consistent activations in the striatum, anterior/posterior cingulate cortex, medial/left superior frontal gyrus and left supramarginal gyrus for impulsive choices in DD, while GNG tasks elicited mainly right-lateralized fronto-parietal activations. Conjunction and subtraction analyses showed: i) common bilateral responses in the caudate nucleus; ii) DD-specific responses in the ventral striatum, anterior/posterior cingulate cortex, left supramarginal and medial frontal gyri; iii) GNG-specific activations in the right inferior parietal cortex. Altered fronto-lateral responses to both tasks are suggestive of dysfunctional cortico-striatal balance in obesity and EDs, but these findings are controversial due to the limited number of studies directly comparing patients and controls. Overall, we found evidence for distinctive neural correlates of the motor and cognitive facets of impulsivity: the right inferior parietal lobe underpins action inhibition, whereas fronto-striatal regions and the left supramarginal gyrus are related to impulsive decision-making. While showing that further research on clinical samples is required to better characterize the neural bases of their behavioural changes, these findings help refining neurocognitive model of impulsivity and highlight potential translational implications for EDs and obesity treatment.
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Affiliation(s)
- Giulia Mattavelli
- IUSS Cognitive Neuroscience (ICoN) Center, Scuola Universitaria Superiore IUSS, Pavia, Italy; Cognitive Neuroscience Laboratory of Pavia Institute, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.
| | - Irene Gorrino
- IUSS Cognitive Neuroscience (ICoN) Center, Scuola Universitaria Superiore IUSS, Pavia, Italy
| | - Diana Tornaghi
- IUSS Cognitive Neuroscience (ICoN) Center, Scuola Universitaria Superiore IUSS, Pavia, Italy
| | - Nicola Canessa
- IUSS Cognitive Neuroscience (ICoN) Center, Scuola Universitaria Superiore IUSS, Pavia, Italy; Cognitive Neuroscience Laboratory of Pavia Institute, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy
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16
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Gronchi G, Gavazzi G, Viggiano MP, Giovannelli F. Dual-Process Theory of Thought and Inhibitory Control: An ALE Meta-Analysis. Brain Sci 2024; 14:101. [PMID: 38275521 PMCID: PMC10813498 DOI: 10.3390/brainsci14010101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 01/11/2024] [Accepted: 01/17/2024] [Indexed: 01/27/2024] Open
Abstract
The dual-process theory of thought rests on the co-existence of two different thinking modalities: a quick, automatic, and associative process opposed to a slow, thoughtful, and deliberative process. The increasing interest in determining the neural foundation of the dual-process distinction has yielded mixed results, also given the difficulty of applying the fMRI standard approach to tasks usually employed in the cognitive literature. We report an activation likelihood estimation (ALE) meta-analysis to investigate the neural foundation of the dual-process theory of thought. Eligible studies allowed for the identification of cerebral areas associated with dual-process theory-based tasks without differentiating between fast and slow thinking. The ALE algorithm converged on the medial frontal cortex, superior frontal cortex, anterior cingulate cortex, insula, and left inferior frontal gyrus. These structures partially overlap with the cerebral areas recurrently reported in the literature about the neural basis of the dual-process distinction, where the PARCS theory-based interpretation emphasizes the role of the right inferior gyrus. The results confirm the potential (but still almost unexplored) common ground between the dual-process literature and the cognitive control literature.
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Affiliation(s)
| | | | - Maria Pia Viggiano
- Department of Neuroscience, Psychology, Drug Research and Child’s Health (NEUROFARBA), University of Florence, 50135 Florence, Italy; (G.G.); (G.G.); (F.G.)
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17
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Duan Q, Wang Z, Cheung W, Liu J, Zhang H, Qiao W, Zhang Q. Functional decoding and meta-analytic connectivity modeling in thyroid-associated ophthalmopathy. Heliyon 2024; 10:e23749. [PMID: 38226223 PMCID: PMC10788440 DOI: 10.1016/j.heliyon.2023.e23749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 10/24/2023] [Accepted: 12/12/2023] [Indexed: 01/17/2024] Open
Abstract
Background Thyroid-associated ophthalmopathy (TAO) is an orbital disease closely related to thyroid disease with a long-lasting duration that can be blinding and disabling. Recently, structural and functional neuroimaging studies have been performed in TAO patients, but studies have reported inconsistent results. This quantitative meta-analysis was conducted to identify convergent patterns of abnormal brain function among different studies in TAO. Methods We searched PubMed, EMBASE, Cochrane, and Web of Science, performed reference tracking, and retrieved 15 eligible studies. Peak coordinates were extracted from these studies and subsequently tested for convergence using activation likelihood estimation (ALE). Results Compared to healthy subjects, resting-state brain activity in the whole brain of TAO patients was significantly increased in the left superior frontal gyrus (SFG) and decreased in the left cuneus/precuneus. Functional decoding analysis of the BrainMap database revealed that these regions are predominantly associated with cognitive and emotional impairment. In this study, task-related meta-analytic connectivity modeling (MACM) analysis was used to describe the connectivity and function of the two seed regions. Significant coactivation of these regions was found primarily in the bilateral superior parietal lobule, medial frontal gyrus, left fusiform gyrus, left cingulate gyrus, supplementary motor area and thalamus. Conclusion Our findings underscore the role of the SFG and the cuneus/precuneus in the pathophysiology of TAO, highlighting the crucial impact of working memory deficits.
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Affiliation(s)
- Qidang Duan
- School of Basic Medicine and Life Science, Hainan Medical University, Haikou, 571199, China
| | - Zhihong Wang
- The first people's hospital of lanzhou city, Lanzhou, 730000, China
| | | | - Jing Liu
- Department of Endocrinology and Gerontology, Gansu Provincial Hospital, Lanzhou, 730000, China
| | - Huiyan Zhang
- School of Clinical Medicine, Ningxia Medical University, Yinchuan, 750000, China
| | - Wenjun Qiao
- School of Clinical Medicine, Ningxia Medical University, Yinchuan, 750000, China
| | - Qi Zhang
- Department of Endocrinology and Gerontology, Gansu Provincial Hospital, Lanzhou, 730000, China
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18
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Gerosa M, Canessa N, Morawetz C, Mattavelli G. Cognitive reappraisal of food craving and emotions: a coordinate-based meta-analysis of fMRI studies. Soc Cogn Affect Neurosci 2024; 19:nsad077. [PMID: 38113382 PMCID: PMC10868133 DOI: 10.1093/scan/nsad077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 10/02/2023] [Accepted: 12/18/2023] [Indexed: 12/21/2023] Open
Abstract
Growing evidence supports the effectiveness of cognitive reappraisal in down-regulating food desire. Still, the neural bases of food craving down-regulation via reappraisal, as well as their degree of overlap vs specificity compared with emotion down-regulation, remain unclear. We addressed this gap through activation likelihood estimation meta-analyses of neuroimaging studies on the neural bases of (i) food craving down-regulation and (ii) emotion down-regulation, alongside conjunction and subtraction analyses among the resulting maps. Exploratory meta-analyses on activations related to food viewing compared with active regulation and up-regulation of food craving have also been performed. Food and emotion down-regulation via reappraisal consistently engaged overlapping activations in dorsolateral and ventrolateral prefrontal, posterior parietal, pre-supplementary motor and lateral posterior temporal cortices, mainly in the left hemisphere. Its distinctive association with the right anterior/posterior insula and left inferior frontal gyrus suggests that food craving down-regulation entails a more extensive integration of interoceptive information about bodily states and greater inhibitory control over the appetitive urge towards food compared with emotion down-regulation. This evidence is suggestive of unique interoceptive and motivational components elicited by food craving reappraisal, associated with distinctive patterns of fronto-insular activity. These results might inform theoretical models of food craving regulation and prompt novel therapeutic interventions for obesity and eating disorders.
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Affiliation(s)
- Marta Gerosa
- IUSS Cognitive Neuroscience (ICON) Center, Scuola Universitaria Superiore IUSS, Pavia 27100, Italy
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia 27100, Italy
| | - Nicola Canessa
- IUSS Cognitive Neuroscience (ICON) Center, Scuola Universitaria Superiore IUSS, Pavia 27100, Italy
- Istituti Clinici Scientifici Maugeri IRCCS, Cognitive Neuroscience Laboratory of Pavia Institute, Pavia 27100, Italy
| | - Carmen Morawetz
- Department of Psychology, University of Innsbruck, Innsbruck 6020, Austria
| | - Giulia Mattavelli
- IUSS Cognitive Neuroscience (ICON) Center, Scuola Universitaria Superiore IUSS, Pavia 27100, Italy
- Istituti Clinici Scientifici Maugeri IRCCS, Cognitive Neuroscience Laboratory of Pavia Institute, Pavia 27100, Italy
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19
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Cieslik EC, Ullsperger M, Gell M, Eickhoff SB, Langner R. Success versus failure in cognitive control: Meta-analytic evidence from neuroimaging studies on error processing. Neurosci Biobehav Rev 2024; 156:105468. [PMID: 37979735 DOI: 10.1016/j.neubiorev.2023.105468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 10/23/2023] [Accepted: 11/13/2023] [Indexed: 11/20/2023]
Abstract
Brain mechanisms of error processing have often been investigated using response interference tasks and focusing on the posterior medial frontal cortex, which is also implicated in resolving response conflict in general. Thereby, the role other brain regions may play has remained undervalued. Here, activation likelihood estimation meta-analyses were used to synthesize the neuroimaging literature on brain activity related to committing errors versus responding successfully in interference tasks and to test for commonalities and differences. The salience network and the temporoparietal junction were commonly recruited irrespective of whether responses were correct or incorrect, pointing towards a general involvement in coping with situations that call for increased cognitive control. The dorsal posterior cingulate cortex, posterior thalamus, and left superior frontal gyrus showed error-specific convergence, which underscores their consistent involvement when performance goals are not met. In contrast, successful responding revealed stronger convergence in the dorsal attention network and lateral prefrontal regions. Underrecruiting these regions in error trials may reflect failures in activating the task-appropriate stimulus-response contingencies necessary for successful response execution.
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Affiliation(s)
- Edna C Cieslik
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany.
| | - Markus Ullsperger
- Institute of Psychology, Otto-von-Guericke University, D-39106 Magdeburg, Germany; Center for Behavioral Brain Sciences, Magdeburg, Germany
| | - Martin Gell
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH, Aachen, Germany
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
| | - Robert Langner
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
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20
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Acar F, Maumet C, Heuten T, Vervoort M, Bossier H, Seurinck R, Moerkerke B. Improving the Eligibility of Task-Based fMRI Studies for Meta-Analysis: A Review and Reporting Recommendations. Neuroinformatics 2024; 22:5-22. [PMID: 37924428 DOI: 10.1007/s12021-023-09643-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/09/2023] [Indexed: 11/06/2023]
Abstract
Decisions made during the analysis or reporting of an fMRI study influence the eligibility of that study to be entered into a meta-analysis. In a meta-analysis, results of different studies on the same topic are combined. To combine the results, it is necessary that all studies provide equivalent pieces of information. However, in task-based fMRI studies we see a large variety in reporting styles. Several specific meta-analysis methods have been developed to deal with the reporting practices occurring in task-based fMRI studies, therefore each requiring a specific type of input. In this manuscript we provide an overview of the meta-analysis methods and the specific input they require. Subsequently we discuss how decisions made during the study influence the eligibility of a study for a meta-analysis and finally we formulate some recommendations about how to report an fMRI study so that it complies with as many meta-analysis methods as possible.
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Affiliation(s)
- Freya Acar
- Department of Data-Analysis, Faculty of Psychology and Educational Science, Ghent University, Ghent, Belgium.
| | - Camille Maumet
- Inria, Univ Rennes, CNRS, Inserm, IRISA UMR 6074, Empenn ERL U 1228, Rennes, F-35000, France
| | - Talia Heuten
- Department of Data-Analysis, Faculty of Psychology and Educational Science, Ghent University, Ghent, Belgium
| | - Maya Vervoort
- Department of Data-Analysis, Faculty of Psychology and Educational Science, Ghent University, Ghent, Belgium
| | - Han Bossier
- Department of Data-Analysis, Faculty of Psychology and Educational Science, Ghent University, Ghent, Belgium
| | - Ruth Seurinck
- Department of Data-Analysis, Faculty of Psychology and Educational Science, Ghent University, Ghent, Belgium
| | - Beatrijs Moerkerke
- Department of Data-Analysis, Faculty of Psychology and Educational Science, Ghent University, Ghent, Belgium
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21
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Varma MM, Chowdhury A, Yu R. The road not taken: Common and distinct neural correlates of regret and relief. Neuroimage 2023; 283:120413. [PMID: 37858905 DOI: 10.1016/j.neuroimage.2023.120413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 10/11/2023] [Accepted: 10/16/2023] [Indexed: 10/21/2023] Open
Abstract
Humans anticipate and evaluate both obtained and counterfactual outcomes - outcomes that could have been had an alternate decision been taken - and experience associated emotions of regret and relief. Although many functional magnetic resonance imaging (fMRI) studies have examined the neural correlates of these emotions, there is substantial heterogeneity in their results. We conducted coordinate-based ALE and network-based ANM meta-analysis of fMRI studies of experienced regret and relief to examine commonalities and differences in their neural correlates. Regionally, we observed that the experience of both regret and relief was associated with greater activation in the right ventral striatum (VS), which is implicated in tracking reward prediction error. At the network level, regret and relief shared the reward-sensitive mesocorticolimbic network with preferential activation of the medial orbitofrontal cortex (mOFC) for regret processing and medial cingulate cortex (MCC) for relief processing. Our research identified shared and separable brain systems subserving regret and relief experience, which may inform the treatment of regret-related mood disorders.
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Affiliation(s)
- Mohith M Varma
- Department of Management, Marketing, and Information Systems, Hong Kong Baptist University, Hong Kong, China
| | - Avijit Chowdhury
- Massachusetts General Hospital, Harvard Medical School, Massachusetts, USA
| | - Rongjun Yu
- Department of Management, Marketing, and Information Systems, Hong Kong Baptist University, Hong Kong, China.
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22
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Jordan N, Emanuelle R. Hands off, brain off? A meta-analysis of neuroimaging data during active and passive driving. Brain Behav 2023; 13:e3272. [PMID: 37828722 PMCID: PMC10726911 DOI: 10.1002/brb3.3272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 09/21/2023] [Accepted: 09/23/2023] [Indexed: 10/14/2023] Open
Abstract
BACKGROUND Car driving is more and more automated, to such an extent that driving without active steering control is becoming a reality. Although active driving requires the use of visual information to guide actions (i.e., steering the vehicle), passive driving only requires looking at the driving scene without any need to act (i.e., the human is passively driven). MATERIALS & METHODS After a careful search of the scientific literature, 11 different studies, providing 17 contrasts, were used to run a comprehensive meta-analysis contrasting active driving with passive driving. RESULTS Two brain regions were recruited more consistently for active driving compared to passive driving, the left precentral gyrus (BA3 and BA4) and the left postcentral gyrus (BA4 and BA3/40), whereas a set of brain regions was recruited more consistently in passive driving compared to active driving: the left middle frontal gyrus (BA6), the right anterior lobe and the left posterior lobe of the cerebellum, the right sub-lobar thalamus, the right anterior prefrontal cortex (BA10), the right inferior occipital gyrus (BA17/18/19), the right inferior temporal gyrus (BA37), and the left cuneus (BA17). DISCUSSION From a theoretical perspective, these findings support the idea that the output requirement of the visual scanning process engaged for the same activity can trigger different cerebral pathways, associated with different cognitive processes. A dorsal stream dominance was found during active driving, whereas a ventral stream dominance was obtained during passive driving. From a practical perspective, and contrary to the dominant position in the Human Factors community, our findings support the idea that a transition from passive to active driving would remain challenging as passive and active driving engage distinct neural networks.
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Affiliation(s)
- Navarro Jordan
- Laboratoire d'Etude des Mécanismes Cognitifs (EA 3082)Université de LyonBron Cedex, LyonFrance
- Institut Universitaire de FranceParisFrance
| | - Reynaud Emanuelle
- Laboratoire d'Etude des Mécanismes Cognitifs (EA 3082)Université de LyonBron Cedex, LyonFrance
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23
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Luo Y, Dong D, Huang H, Zhou J, Zuo X, Hu J, He H, Jiang S, Duan M, Yao D, Luo C. Associating Multimodal Neuroimaging Abnormalities With the Transcriptome and Neurotransmitter Signatures in Schizophrenia. Schizophr Bull 2023; 49:1554-1567. [PMID: 37607339 PMCID: PMC10686354 DOI: 10.1093/schbul/sbad047] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
BACKGROUND AND HYPOTHESIS Schizophrenia is a multidimensional disease. This study proposes a new research framework that combines multimodal meta-analysis and genetic/molecular architecture to solve the consistency in neuroimaging biomarkers of schizophrenia and whether these link to molecular genetics. STUDY DESIGN We systematically searched Web of Science, PubMed, and BrainMap for the amplitude of low-frequency fluctuations (ALFF) or fractional ALFF, regional homogeneity, regional cerebral blood flow, and voxel-based morphometry analysis studies investigating schizophrenia. The pooled-modality, single-modality, and illness duration-dependent meta-analyses were performed using the activation likelihood estimation algorithm. Subsequently, Spearman correlation and partial least squares regression analyses were conducted to assess the relationship between identified reliable convergent patterns of multimodality and neurotransmitter/transcriptome, using prior molecular imaging and brain-wide gene expression. STUDY RESULTS In total, 203 experiments comprising 10 613 patients and 10 461 healthy controls were included. Multimodal meta-analysis showed that brain regions of significant convergence in schizophrenia were mainly distributed in the frontotemporal cortex, anterior cingulate cortex, insula, thalamus, striatum, and hippocampus. Interestingly, the analyses of illness-duration subgroups identified aberrant functional and structural evolutionary patterns: Lines from the striatum to the cortical core networks to extensive cortical and subcortical regions. Subsequently, we found that these robust multimodal neuroimaging abnormalities were associated with multiple neurobiological abnormalities, such as dopaminergic, glutamatergic, serotonergic, and GABAergic systems. CONCLUSIONS This work links transcriptome/neurotransmitters with reliable structural and functional signatures of brain abnormalities underlying disease effects in schizophrenia, which provides novel insight into the understanding of schizophrenia pathophysiology and targeted treatments.
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Affiliation(s)
- Yuling Luo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Debo Dong
- Key Laboratory of Cognition and Personality, Ministry of Education, Chongqing, China
- Faculty of Psychology, Southwest University, Chongqing, China
| | - Huan Huang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Jingyu Zhou
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaojun Zuo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Jian Hu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Hui He
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Mental Health Center of Chengdu, The fourth people’s Hospital of Chengdu, Chengdu, China
| | - Sisi Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Mingjun Duan
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Mental Health Center of Chengdu, The fourth people’s Hospital of Chengdu, Chengdu, China
| | - Dezhong Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
- Research Unit of NeuroInformation (2019RU035), Chinese Academy of Medical Sciences, Chengdu, China
| | - Cheng Luo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
- Research Unit of NeuroInformation (2019RU035), Chinese Academy of Medical Sciences, Chengdu, China
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24
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Freitas PM, Haase VG, Wood GM. The neural correlates of interference effects of numerical Stroop task: An ALE meta-analysis and connectometry. PROGRESS IN BRAIN RESEARCH 2023; 282:71-93. [PMID: 38035910 DOI: 10.1016/bs.pbr.2023.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Abstract
Numerical skills are part of cognitive and formal education development, and low performance in math has been associated with adverse features such as low income and unemployment. The studies of functional magnetic resonance imaging (fMRI) activation in numerical Stroop interference had been accomplished to evidence neural correlates of numerical, automatic, and controlled processes. The aim of this research was to summarize the results of the neural correlates of a number-size congruity task through meta-analysis of fMRI, behavioral evidence, and connectometry. Our study includes 15 fMRI papers (total number of subjects n=155-302, the total number of foci=81-233). Meta-analyses used an activation likelihood estimation (ALE) logarithm. For connectometry, it was used the diffusion tensor image. We found that, for the attentional control numerical Stroop effect, the activated areas were the dorsolateral prefrontal cortex, the anterior cingulate gyrus, and the intraparietal sulcus. Consistent activation over both paradigms was found in five clusters, two in the frontal and three in the parietal lobe. The matrix of connectivity showed connections between insula and inferior parietal right with 587 fibers, cingulate gyrus, and inferior parietal right with 843 fibers. Both paradigms activate parietal areas but differ in the activation of regions correlated to attentional control. The results of these meta-analyses summarized results from fMRI studies that may contribute to current theories. The results of connectometry could be interpreted regarding the fibers connection between the clusters right inferior parietal with insula and cingulate gyrus that suggests the integration of information.
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Affiliation(s)
- Patricia Martins Freitas
- Graduate Program in Health Psychology, Federal University of Bahia, Vitória da Conquista, Brazil; Graduate Program of Teaching, State University of Southwest Bahia, Vitória da Conquista, Brazil.
| | - Vitor Geraldi Haase
- Graduate Program in Psychology: Cognition and Behavior, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Guilherme Maia Wood
- Institute of Psychology, University of Graz, Graz, Austria; BioTechMed-Graz, Graz, Austria
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25
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Vuong V, Hewan P, Perron M, Thaut MH, Alain C. The neural bases of familiar music listening in healthy individuals: An activation likelihood estimation meta-analysis. Neurosci Biobehav Rev 2023; 154:105423. [PMID: 37839672 DOI: 10.1016/j.neubiorev.2023.105423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 10/06/2023] [Accepted: 10/08/2023] [Indexed: 10/17/2023]
Abstract
Accumulating evidence suggests that the neural activations during music listening differs as a function of familiarity with the excerpts. However, the implicated brain areas are unclear. After an extensive literature search, we conducted an Activation Likelihood Estimation analysis on 23 neuroimaging studies (232 foci, 364 participants) to identify consistently activated brain regions when healthy adults listen to familiar music, compared to unfamiliar music or an equivalent condition. The results revealed a left cortical-subcortical co-activation pattern comprising three significant clusters localized to the supplementary motor areas (BA 6), inferior frontal gyrus (IFG, BA 44), and the claustrum/insula. Our results are discussed in a predictive coding framework, whereby temporal expectancies and familiarity may drive motor activations, despite any overt movement. Though conventionally associated with syntactic violation, our observed activation in the IFG may support a recent proposal of its involvement in a network that subserves both violation and prediction. Finally, the claustrum/insula plays an integral role in auditory processing, functioning as a hub that integrates sensory and limbic information to (sub)cortical structures.
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Affiliation(s)
- Veronica Vuong
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; Rotman Research Institute, Baycrest Health Sciences, Toronto, ON M6A 2E1, Canada; Music and Health Research Collaboratory, Faculty of Music, University of Toronto, Toronto, ON M5S 2C5, Canada.
| | - Patrick Hewan
- Department of Psychology, York University, Toronto, ON M3J 1P3, Canada
| | - Maxime Perron
- Rotman Research Institute, Baycrest Health Sciences, Toronto, ON M6A 2E1, Canada; Department of Psychology, University of Toronto, Toronto, ON M5S 3G3, Canada
| | - Michael H Thaut
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; Music and Health Research Collaboratory, Faculty of Music, University of Toronto, Toronto, ON M5S 2C5, Canada; Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Claude Alain
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; Rotman Research Institute, Baycrest Health Sciences, Toronto, ON M6A 2E1, Canada; Music and Health Research Collaboratory, Faculty of Music, University of Toronto, Toronto, ON M5S 2C5, Canada; Department of Psychology, University of Toronto, Toronto, ON M5S 3G3, Canada
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26
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Ashburn SM, Lynn Flowers D, Eden GF. A comparison of functional activation and connectivity of the cerebellum in adults and children during single word processing. BRAIN AND LANGUAGE 2023; 246:105346. [PMID: 37994829 PMCID: PMC10722870 DOI: 10.1016/j.bandl.2023.105346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 08/17/2023] [Accepted: 10/10/2023] [Indexed: 11/24/2023]
Abstract
Meta-analyses on reading show cerebellar activation in adults, but not children, suggesting a possible age-dependent role of the cerebellum in reading. However, the few studies that compare adults and children during reading report mixed cerebellar activation results. Here, we studied (i) cerebellar activation during implicit word processing in adults and children and (ii) functional connectivity (FC) between the cerebellum and left cortical regions involved in reading. First, both groups activated bilateral cerebellum for word processing when compared to fixation, but not when compared to the active control. There were no differences between adults and children. Second, we found intrinsic FC between several cerebellar seed regions and cortical target regions in adults and children, as well as between-group differences. However, task-modulated FC specific to word processing revealed no within- nor between-group results. Together this study does not provide support for a role of the cerebellum in word processing at either age.
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Affiliation(s)
- Sikoya M Ashburn
- Center for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, Washington, DC, United States
| | - D Lynn Flowers
- Center for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, Washington, DC, United States
| | - Guinevere F Eden
- Center for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, Washington, DC, United States.
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27
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Frahm L, Satterthwaite TD, Fox PT, Langner R, Eickhoff SB. ALE meta-analyses of voxel-based morphometry studies: Parameter validation via large-scale simulations. Neuroimage 2023; 281:120383. [PMID: 37734477 PMCID: PMC10686967 DOI: 10.1016/j.neuroimage.2023.120383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 09/15/2023] [Accepted: 09/19/2023] [Indexed: 09/23/2023] Open
Abstract
Activation likelihood estimation (ALE) meta-analysis has been applied to structural neuroimaging data since long, but up to now, any systematic assessment of the algorithm's behavior, power and sensitivity has been based on simulations using functional neuroimaging databases as their foundation. Here, we aimed to determine whether the guidelines offered by previous evaluations can be generalized to ALE meta-analyses of voxel-based morphometry (VBM) studies. We ran 365000 distinct ALE analyses filled with simulated experiments, randomly sampling parameters from BrainMap's VBM experiment database. We then examined the algorithm's sensitivity, its susceptibility to spurious convergence, and its susceptibility to excessive contributions by individual experiments. In general, the performance of the ALE algorithm was highly comparable between imaging modalities, with the algorithm's sensitivity and specificity reaching similar levels with structural data as previously observed with functional data. Because of the lower number of foci reported and the higher number of participants usually included in structural experiments, individual studies had, on average, a higher impact towards significant clusters. To prevent significant clusters from being driven by single experiments, we recommend that researchers include at least 23 experiments in a VBM ALE dataset, instead of the previously recommended minimum of n = 17. While these recommendations do not constitute hard borders, running ALE analyses on smaller datasets would require special diligence in assessing and reporting the contributions of experiments to individual clusters.
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Affiliation(s)
- Lennart Frahm
- Department of Psychiatry, Psychotherapy and Psychosomatics, School of Medicine, RWTH Aachen University, Aachen, Germany; Institute of Neuroscience and Medicine (INM7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany.
| | - Theodore D Satterthwaite
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA; Penn Lifespan Informatics and Neuroimaging Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, USA; Departments of Radiology, Neurology, Psychiatry and Behavioral Sciences, and Physiology, University of Texas Health Science Center, San Antonio, USA
| | - Robert Langner
- Institute of Neuroscience and Medicine (INM7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine (INM7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
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28
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Boeken OJ, Cieslik EC, Langner R, Markett S. Characterizing functional modules in the human thalamus: coactivation-based parcellation and systems-level functional decoding. Brain Struct Funct 2023; 228:1811-1834. [PMID: 36547707 PMCID: PMC10516793 DOI: 10.1007/s00429-022-02603-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 12/08/2022] [Indexed: 12/24/2022]
Abstract
The human thalamus relays sensory signals to the cortex and facilitates brain-wide communication. The thalamus is also more directly involved in sensorimotor and various cognitive functions but a full characterization of its functional repertoire, particularly in regard to its internal anatomical structure, is still outstanding. As a putative hub in the human connectome, the thalamus might reveal its functional profile only in conjunction with interconnected brain areas. We therefore developed a novel systems-level Bayesian reverse inference decoding that complements the traditional neuroinformatics approach towards a network account of thalamic function. The systems-level decoding considers the functional repertoire (i.e., the terms associated with a brain region) of all regions showing co-activations with a predefined seed region in a brain-wide fashion. Here, we used task-constrained meta-analytic connectivity-based parcellation (MACM-CBP) to identify thalamic subregions as seed regions and applied the systems-level decoding to these subregions in conjunction with functionally connected cortical regions. Our results confirm thalamic structure-function relationships known from animal and clinical studies and revealed further associations with language, memory, and locomotion that have not been detailed in the cognitive neuroscience literature before. The systems-level decoding further uncovered large systems engaged in autobiographical memory and nociception. We propose this novel decoding approach as a useful tool to detect previously unknown structure-function relationships at the brain network level, and to build viable starting points for future studies.
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Affiliation(s)
- Ole J Boeken
- Faculty of Life Sciences, Department of Molecular Psychology, Humboldt-Universität Zu Berlin, Rudower Chaussee 18, 12489, Berlin, Germany.
| | - Edna C Cieslik
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
| | - Robert Langner
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
| | - Sebastian Markett
- Faculty of Life Sciences, Department of Molecular Psychology, Humboldt-Universität Zu Berlin, Rudower Chaussee 18, 12489, Berlin, Germany
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29
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Arioli M, Segatta C, Papagno C, Tettamanti M, Cattaneo Z. Social perception in deaf individuals: A meta-analysis of neuroimaging studies. Hum Brain Mapp 2023; 44:5402-5415. [PMID: 37609693 PMCID: PMC10543108 DOI: 10.1002/hbm.26444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 06/22/2023] [Accepted: 07/22/2023] [Indexed: 08/24/2023] Open
Abstract
Deaf individuals may report difficulties in social interactions. However, whether these difficulties depend on deafness affecting social brain circuits is controversial. Here, we report the first meta-analysis comparing brain activations of hearing and (prelingually) deaf individuals during social perception. Our findings showed that deafness does not impact on the functional mechanisms supporting social perception. Indeed, both deaf and hearing control participants recruited regions of the action observation network during performance of different social tasks employing visual stimuli, and including biological motion perception, face identification, action observation, viewing, identification and memory for signs and lip reading. Moreover, we found increased recruitment of the superior-middle temporal cortex in deaf individuals compared with hearing participants, suggesting a preserved and augmented function during social communication based on signs and lip movements. Overall, our meta-analysis suggests that social difficulties experienced by deaf individuals are unlikely to be associated with brain alterations but may rather depend on non-supportive environments.
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Affiliation(s)
- Maria Arioli
- Department of Human and Social SciencesUniversity of BergamoBergamoItaly
| | - Cecilia Segatta
- Department of Human and Social SciencesUniversity of BergamoBergamoItaly
| | - Costanza Papagno
- Center for Mind/Brain Sciences (CIMeC)University of TrentoTrentoItaly
| | | | - Zaira Cattaneo
- Department of Human and Social SciencesUniversity of BergamoBergamoItaly
- IRCCS Mondino FoundationPaviaItaly
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30
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Chaudhary IS, Shyi GCW, Huang STT. A systematic review and activation likelihood estimation meta-analysis of fMRI studies on arousing or wake-promoting effects in Buddhist meditation. Front Psychol 2023; 14:1136983. [PMID: 38022985 PMCID: PMC10646186 DOI: 10.3389/fpsyg.2023.1136983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 09/22/2023] [Indexed: 12/01/2023] Open
Abstract
Conventional Buddhist texts illustrate meditation as a condition of relaxed alertness that must fend against extreme hypoarousal (sleep, drowsiness) and extreme hyperarousal (restlessness). Theoretical, neurophysiological, and neuroimaging investigations of meditation have highlighted the relaxing effects and hypoarousing without emphasizing the alertness-promoting effects. Here we performed a systematic review supported by an activation-likelihood estimate (ALE) meta-analysis in an effort to counterbalance the surfeit of scholarship emphasizing the hypoarousing and relaxing effects of different forms of Buddhist meditation. Specifically, the current systematic review-cum-meta-analytical review seeks to highlight more support for meditation's wake-promoting effects by drawing from neuroimaging research during wakefulness and meditation. In this systematic review and meta-analysis of 22 fMRI studies, we aim to highlight support for Buddhist meditation's wake-promoting or arousing effects by identifying brain regions associated with alertness during meditation. The most significant peaks were localized medial frontal gyrus (MFG) and precuneus. We failed to determine areas ostensibly common to alertness-related meditation such as the medial prefrontal cortex (mPFC), superior parietal lobule, basal ganglia, thalamus, most likely due to the relatively fewer fMRI investigations that used wakefulness-promoting meditation techniques. Also, we argue that forthcoming research on meditation, related to alertness or wakefulness, continues to adopt a multi-modal method to investigate the correlation between actual behaviors and neural networks connected to Buddhist meditation. Moreover, we recommend the implementation of fMRI paradigms on Buddhist meditation with clinically diagnosed participants to complement recent trends in psychotherapy such as mindfulness-based cognitive therapy (MBCT).
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Affiliation(s)
- Inder S. Chaudhary
- PhD Program in Cognitive Sciences, National Chung Cheng University, Chiayi City, Taiwan
- Center for Research in Cognitive Sciences, National Chung Cheng University, Chiayi City, Taiwan
- Department of Psychology, National Chung Cheng University, Chiayi City, Taiwan
| | - Gary Chon-Wen Shyi
- PhD Program in Cognitive Sciences, National Chung Cheng University, Chiayi City, Taiwan
- Center for Research in Cognitive Sciences, National Chung Cheng University, Chiayi City, Taiwan
- Department of Psychology, National Chung Cheng University, Chiayi City, Taiwan
| | - Shih-Tseng Tina Huang
- PhD Program in Cognitive Sciences, National Chung Cheng University, Chiayi City, Taiwan
- Center for Research in Cognitive Sciences, National Chung Cheng University, Chiayi City, Taiwan
- Department of Psychology, National Chung Cheng University, Chiayi City, Taiwan
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31
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Varma MM, Zhen S, Yu R. Not all discounts are created equal: Regional activity and brain networks in temporal and effort discounting. Neuroimage 2023; 280:120363. [PMID: 37673412 DOI: 10.1016/j.neuroimage.2023.120363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 08/31/2023] [Accepted: 09/03/2023] [Indexed: 09/08/2023] Open
Abstract
Reward outcomes associated with costs like time delay and effort investment are generally discounted in decision-making. Standard economic models predict rewards associated with different types of costs are devalued in a similar manner. However, our review of rodent lesion studies indicated partial dissociations between brain regions supporting temporal- and effort-based decision-making. Another debate is whether options involving low and high costs are processed in different brain substrates (dual-system) or in the same regions (single-system). This research addressed these issues using coordinate-based, connectivity-based, and activation network-based meta-analyses to identify overlapping and separable neural systems supporting temporal (39 studies) and effort (20 studies) discounting. Coordinate-based activation likelihood estimation and resting-state connectivity analyses showed immediate-small reward and delayed-large reward choices engaged distinct regions with unique connectivity profiles, but their activation network mapping was found to engage the default mode network. For effort discounting, salience and sensorimotor networks supported low-effort choices, while the frontoparietal network supported high-effort choices. There was little overlap between the temporal and effort networks. Our findings underscore the importance of differentiating different types of costs in decision-making and understanding discounting at both regional and network levels.
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Affiliation(s)
- Mohith M Varma
- Department of Management, Marketing, and Information Systems, Hong Kong Baptist University, Hong Kong, China
| | - Shanshan Zhen
- Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong, China.
| | - Rongjun Yu
- Department of Management, Marketing, and Information Systems, Hong Kong Baptist University, Hong Kong, China.
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32
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Kraaijenvanger EJ, Banaschewski T, Eickhoff SB, Holz NE. A coordinate-based meta-analysis of human amygdala connectivity alterations related to early life adversities. Sci Rep 2023; 13:16541. [PMID: 37783710 PMCID: PMC10545708 DOI: 10.1038/s41598-023-43057-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 09/19/2023] [Indexed: 10/04/2023] Open
Abstract
By affecting core neurobiological systems early in development, early life adversities (ELAs) might confer latent vulnerability to future psychopathologies. This coordinate-based meta-analysis aims to identify significant convergent alterations in functional connectivity of the amygdala related to ELAs across resting-state and task-based fMRI-studies. Five electronic databases were systematically searched until 22 October 2020, retrieving 49 eligible studies (n = 3162 participants). Convergent alterations in functional connectivity related to ELAs between the amygdala and the anterior cingulate cortex (ACC) and left hippocampus were found. Sub-analyses based on hemisphere and direction showed that connectivity seeded in the right amygdala was affected and, moreover, revealed that connectivity with ACC was decreased. Analyses based on paradigm and age showed that amygdala-ACC coupling was altered during resting state and that amygdala-left hippocampus connectivity was mostly affected during task-based paradigms and in adult participants. While both regions showed altered connectivity during emotion processing and following adverse social postnatal experiences such as maltreatment, amygdala-ACC coupling was mainly affected when ELAs were retrospectively assessed through self-report. We show that ELAs are associated with altered functional connectivity of the amygdala with the ACC and hippocampus. As such, ELAs may embed latent vulnerability to future psychopathologies by systematically affecting important neurocognitive systems.
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Affiliation(s)
- Eline J Kraaijenvanger
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, J5, 68159, Mannheim, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, J5, 68159, Mannheim, Germany
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Nathalie E Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, J5, 68159, Mannheim, Germany.
- Donders Institute, Radboud University, Nijmegen, The Netherlands.
- Radboud University Medical Centre, Nijmegen, The Netherlands.
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33
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Xu M, Ju XD. A meta-analysis of gray matter volume abnormalities in HIV patients. Psychiatry Res Neuroimaging 2023; 335:111722. [PMID: 37862957 DOI: 10.1016/j.pscychresns.2023.111722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 08/31/2023] [Accepted: 10/02/2023] [Indexed: 10/22/2023]
Abstract
HIV infection is known to have significant effects on central nervous system. This study conducted a meta-analysis of whole voxel-based morphometry (VBM) in HIV patients (N = 435) and HIV-uninfected controls (N = 397). This study observed a reduction of limbic lobe, cingulate gyrus, frontal lobe, middle frontal gyrus, sub-lobar, insula, inferior frontal gyrus and superior frontal gyrus volume in HIV patients. These morphological differences may be responsible for cognitive decline in HIV patients, as these brain regions are closely related to motor and memory functions. These results contribute to a better understanding of the neural mechanisms underlying brain injury in HIV patients and could help develop targeted brain targets, provide more personalized treatment and predict neurodevelopmental outcomes.
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Affiliation(s)
- Mingxiang Xu
- School of Psychology, Northeast Normal University, No. 5268 Renmin Street, Changchun 130024, China
| | - Xing-Da Ju
- School of Psychology, Northeast Normal University, No. 5268 Renmin Street, Changchun 130024, China; Jilin Provincial Key Laboratory of Cognitive Neuroscience and Brain Development, Changchun,Jilin 130024, China.
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von Gal A, Boccia M, Nori R, Verde P, Giannini AM, Piccardi L. Neural networks underlying visual illusions: An activation likelihood estimation meta-analysis. Neuroimage 2023; 279:120335. [PMID: 37591478 DOI: 10.1016/j.neuroimage.2023.120335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 07/05/2023] [Accepted: 08/14/2023] [Indexed: 08/19/2023] Open
Abstract
Visual illusions have long been used to study visual perception and contextual integration. Neuroimaging studies employ illusions to identify the brain regions involved in visual perception and how they interact. We conducted an Activation Likelihood Estimation (ALE) meta-analysis and meta-analytic connectivity modeling on fMRI studies using static and motion illusions to reveal the neural signatures of illusory processing and to investigate the degree to which different areas are commonly recruited in perceptual inference. The resulting networks encompass ventral and dorsal regions, including the inferior and middle occipital cortices bilaterally in both types of illusions. The static and motion illusion networks selectively included the right posterior parietal cortex and the ventral premotor cortex respectively. Overall, these results describe a network of areas crucially involved in perceptual inference relying on feed-back and feed-forward interactions between areas of the ventral and dorsal visual pathways. The same network is proposed to be involved in hallucinogenic symptoms characteristic of schizophrenia and other disorders, with crucial implications in the use of illusions as biomarkers.
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Affiliation(s)
| | - Maddalena Boccia
- Department of Psychology, Sapienza University of Rome, Rome, Italy; Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Raffaella Nori
- Department of Psychology, University of Bologna, Bologna, Italy
| | - Paola Verde
- Italian Air Force Experimental Flight Center, Aerospace Medicine Department, Pratica di Mare, Rome, Italy
| | | | - Laura Piccardi
- Department of Psychology, Sapienza University of Rome, Rome, Italy; San Raffaele Cassino Hospital, Cassino, FR, Italy
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35
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Cona G, Santacesaria P, Scarpazza C. Envisioning the future: An ALE meta-analysis on neural correlates of future thinking, prospective memory and delay discounting. Neurosci Biobehav Rev 2023; 153:105355. [PMID: 37562654 DOI: 10.1016/j.neubiorev.2023.105355] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 07/19/2023] [Accepted: 08/04/2023] [Indexed: 08/12/2023]
Abstract
Our representations of the future are processed in the service of several different cognitive functions, including episodic future thinking, prospective memory, and temporal discounting. The present meta-analysis used the Activation Likelihood Estimation method to understand whether there is a core network underlying future-oriented cognition and to identify the specific brain regions that support future-related processes in each function. Following the PRISMA guidelines, a total of 24, 19, and 27 neuroimaging studies were included for future thinking, prospective memory, and temporal discounting, respectively. Results showed that there is no specific region or network for the future. Instead, the 'future' seems to be represented on an anterior-posterior tangibility gradient, based on the level of abstractness/concreteness of the simulated scenario. Additionally, future-oriented cognition is mediated by two distinct networks: the Default Network and the Salience Network. The Default Network is mainly active in supporting future thinking, whereas the Salience Network is primarily involved in prospective memory and delay discounting.
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Affiliation(s)
- Giorgia Cona
- Department of General Psychology, University of Padua, Via Venezia 8, 35131 Padua, Italy; Padova Neuroscience Center, University of Padua, Italy.
| | - Paola Santacesaria
- Department of General Psychology, University of Padua, Via Venezia 8, 35131 Padua, Italy; Padova Neuroscience Center, University of Padua, Italy
| | - Cristina Scarpazza
- Department of General Psychology, University of Padua, Via Venezia 8, 35131 Padua, Italy; IRCSS San Camillo Hospital, Venice, Italy
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Kearney E, Brownsett SLE, Copland DA, Drummond KJ, Jeffree RL, Olson S, Murton E, Ong B, Robinson GA, Tolkacheva V, McMahon KL, de Zubicaray GI. Relationships between reading performance and regional spontaneous brain activity following surgical removal of primary left-hemisphere tumors: A resting-state fMRI study. Neuropsychologia 2023; 188:108631. [PMID: 37356540 DOI: 10.1016/j.neuropsychologia.2023.108631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 06/08/2023] [Accepted: 06/23/2023] [Indexed: 06/27/2023]
Abstract
Left-hemisphere intraparenchymal primary brain tumor patients are at risk of developing reading difficulties that may be stable, improve or deteriorate after surgery. Previous studies examining language organization in brain tumor patients have provided insights into neural plasticity supporting recovery. Only a single study, however, has examined the role of white matter tracts in preserving reading ability post-surgery and none have examined the functional reading network. The current study aimed to investigate the regional spontaneous brain activity associated with reading performance in a group of 36 adult patients 6-24 months following left-hemisphere tumor resection. Spontaneous brain activity was assessed using resting-state fMRI (rs-fMRI) regional homogeneity (ReHo) and fractional amplitude low frequency fluctuation (fALFF) metrics, which measure local functional connectivity and activity, respectively. ReHo in the left occipito-temporal and right superior parietal regions was negatively correlated with reading performance. fALFF in the putamen bilaterally and the left cerebellum was negatively correlated with reading performance, and positively correlated in the right superior parietal gyrus. These findings are broadly consistent with reading networks reported in healthy participants, indicating that reading ability following brain tumor surgery might not involve substantial functional re-organization.
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Affiliation(s)
- Elaine Kearney
- School of Psychology and Counselling, Queensland University of Technology, Brisbane, 4059, Australia.
| | - Sonia L E Brownsett
- Queensland Aphasia Research Centre, School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, 4072, Australia; Surgical Treatment and Rehabilitation Service (STARS), Education and Research Alliance, University of Queensland and Metro North Health, Queensland, Australia; Centre of Research Excellence in Aphasia Recovery and Rehabilitation, Australia
| | - David A Copland
- Queensland Aphasia Research Centre, School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, 4072, Australia; Surgical Treatment and Rehabilitation Service (STARS), Education and Research Alliance, University of Queensland and Metro North Health, Queensland, Australia; Centre of Research Excellence in Aphasia Recovery and Rehabilitation, Australia
| | - Katharine J Drummond
- Department of Neurosurgery, Royal Melbourne Hospital, Parkville, 3050, Australia; Department of Surgery, University of Melbourne, Parkville, 3052, Australia
| | | | - Sarah Olson
- Princess Alexandra Hospital, Brisbane, 4102, Australia
| | - Emma Murton
- Department of Speech Pathology, Royal Melbourne Hospital, Parkville, 3050, Australia
| | - Benjamin Ong
- Princess Alexandra Hospital, Brisbane, 4102, Australia
| | - Gail A Robinson
- Queensland Brain Institute and School of Psychology, University of Queensland, Brisbane, 4072, Australia
| | - Valeriya Tolkacheva
- School of Psychology and Counselling, Queensland University of Technology, Brisbane, 4059, Australia
| | - Katie L McMahon
- School of Clinical Sciences, Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, 4059, Australia; Herston Imaging Research Facility, Royal Brisbane & Women's Hospital, Brisbane, 4029, Australia
| | - Greig I de Zubicaray
- School of Psychology and Counselling, Queensland University of Technology, Brisbane, 4059, Australia
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37
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Gavazzi G, Giovannelli F, Noferini C, Cincotta M, Cavaliere C, Salvatore M, Mascalchi M, Viggiano MP. Subregional prefrontal cortex recruitment as a function of inhibitory demand: an fMRI metanalysis. Neurosci Biobehav Rev 2023; 152:105285. [PMID: 37327836 DOI: 10.1016/j.neubiorev.2023.105285] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 05/26/2023] [Accepted: 06/11/2023] [Indexed: 06/18/2023]
Abstract
Convergent studies corroborated the idea that the right prefrontal cortex is the crucial brain region responsible for inhibiting our actions. However, which sub-regions of the right prefrontal cortex are involved is still a matter of debate. To map the inhibitory function of the sub-regions of the right prefrontal cortex, we performed Activation Likelihood Estimation (ALE) meta-analyses and meta-regressions (ES-SDM) of fMRI studies exploring inhibitory control. Sixty-eight studies (1684 subjects, 912 foci) were identified and divided in three groups depending on the incremental demand. Overall, our results showed that higher was the inhibitory demand based on the individual differences in performances, more the upper portion of the right prefrontal cortex was activated to achieve a successful inhibition. Conversely, a lower demand of the inhibitory function, was associated with the inferior portions of the right prefrontal cortex recruitment. Notably, in the latter case, we also observed activation of areas associated with working memory and responsible for cognitive strategies.
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Affiliation(s)
- Gioele Gavazzi
- Department of Neuroscience, Psychology, Drug Research, Child Health, University of Florence, Florence, Italy
| | - Fabio Giovannelli
- Department of Neuroscience, Psychology, Drug Research, Child Health, University of Florence, Florence, Italy
| | - Chiara Noferini
- Department of Neuroscience, Psychology, Drug Research, Child Health, University of Florence, Florence, Italy
| | - Massimo Cincotta
- Unit of Neurology of Florence, Central Tuscany Local Health Authority, Firenze, Italy
| | | | | | - Mario Mascalchi
- "Mario Serio" Department of Experimental and Clinical Biomedical Sciences, University of Florence, Italy; Division of Epidemiology, Institute for Study, Prevention and network in Oncology (ISPRO), Florence, Italy
| | - Maria Pia Viggiano
- Department of Neuroscience, Psychology, Drug Research, Child Health, University of Florence, Florence, Italy.
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38
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Soares C, Gonzalo G, Castelhano J, Castelo-Branco M. The relationship between the default mode network and the theory of mind network as revealed by psychedelics - A meta-analysis. Neurosci Biobehav Rev 2023; 152:105325. [PMID: 37467907 DOI: 10.1016/j.neubiorev.2023.105325] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 07/07/2023] [Accepted: 07/14/2023] [Indexed: 07/21/2023]
Abstract
The Default Mode Network (DMN) and the Theory of Mind (ToM) networks play a crucial role in our understanding of the neurocognition of the self. The DMN is commonly associated with introspection, while the ToM is involved in perspective-taking. There is no research investigating the overlap between the DMN and ToM in relation to causal effects such as induced by psychedelics, and their precise relationship remains therefore unknown. Psychedelics alter self-perception and modulate these networks, providing a unique opportunity to shed light on this relationship. We performed a quantitative meta-analysis of 88 studies with a total of 2122 participants to investigate the overlap between DMN and ToM and whether psychedelics affect their neural relationship. We found that the cingulate cortex (BA23 and BA31) plays a crucial role in the overlap between these networks which is substantiated by the effects of psychedelics. These compounds affect the neural basis of ToM and social cognition, which may underlie their therapeutic potential and deepen our understanding of the neural correlates of the self.
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Affiliation(s)
- Carla Soares
- CIBIT/ ICNAS, Faculty of Medicine, University of Coimbra, R. Santa Comba, 3000-548 Coimbra, Portugal
| | - Gerardo Gonzalo
- CIBIT/ ICNAS, Faculty of Medicine, University of Coimbra, R. Santa Comba, 3000-548 Coimbra, Portugal
| | - João Castelhano
- CIBIT/ ICNAS, Faculty of Medicine, University of Coimbra, R. Santa Comba, 3000-548 Coimbra, Portugal
| | - Miguel Castelo-Branco
- CIBIT/ ICNAS, Faculty of Medicine, University of Coimbra, R. Santa Comba, 3000-548 Coimbra, Portugal.
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Cona G, Wiener M, Allegrini F, Scarpazza C. Gradient Organization of Space, Time, and Numbers in the Brain: A Meta-analysis of Neuroimaging Studies. Neuropsychol Rev 2023:10.1007/s11065-023-09609-z. [PMID: 37594695 DOI: 10.1007/s11065-023-09609-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 07/07/2023] [Indexed: 08/19/2023]
Abstract
In this study, we ran a meta-analysis of neuroimaging studies to pinpoint the neural regions that are commonly activated across space, time, and numerosity, and we tested the existence of gradient transitions among these magnitude representations in the brain. Following PRISMA guidelines, we included in the meta-analysis 112 experiments (for space domain), 114 experiments (time domain), and 115 experiments (numerosity domain), and we used the activation likelihood estimation method. We found a system of brain regions that was commonly recruited in all the three magnitudes, which included bilateral insula, the supplementary motor area (SMA), the right inferior frontal gyrus, and bilateral intraparietal sulci. Gradiental transitions between different magnitudes were found along all these regions but insulae, with space and numbers leading to gradients mainly over parietal regions (and SMA) whereas time and numbers mainly over frontal regions. These findings provide evidence for the GradiATOM theory (Gradient Theory of Magnitude), suggesting that spatial proximity given by overlapping activations and gradients is a key aspect for efficient interactions and integrations among magnitudes.
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Affiliation(s)
- Giorgia Cona
- Department of General Psychology, University of Padua, Via Venezia 8, 35131, Padua, Italy.
- Padova Neuroscience Center, University of Padua, Padua, Italy.
- Department of Neuroscience, University of Padua, Padua, Italy.
| | - Martin Wiener
- Department of Psychology, George Mason University, Fairfax, VA, USA
| | - Francesco Allegrini
- Department of General Psychology, University of Padua, Via Venezia 8, 35131, Padua, Italy
| | - Cristina Scarpazza
- Department of General Psychology, University of Padua, Via Venezia 8, 35131, Padua, Italy
- IRCSS San Camillo Hospital, Venice, Italy
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40
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Yeung AWK. Do "Ten simple rules for neuroimaging meta-analysis" receive equal attention and accurate quotation? An examination on the quotations to an influential neuroimaging meta-analysis guideline. Neuroimage Clin 2023; 39:103496. [PMID: 37603951 PMCID: PMC10458279 DOI: 10.1016/j.nicl.2023.103496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 07/23/2023] [Accepted: 08/10/2023] [Indexed: 08/23/2023]
Abstract
The collection of recommendations and guidelines for conducting and reporting neuroimaging meta-analyses, called "Ten simple rules for neuroimaging meta-analysis" by Müller et al., has been published for a few years. Here, the papers citing this reference were examined to evaluate the rationale of the quotations and what quotation errors existed. In May 2023, an online query via Scopus identified 386 papers citing this reference, 2 of which were inaccessible. The resultant 384 papers were checked to identify the total number of quotations to the reference, the exact quotations, which of the ten recommendations/rules was concerned by each quotation, and if any quotation error existed. Results found that the reference by Müller et al. were quoted 804 times by the 384 papers, meaning an average of 2.1 quotations per paper. Out of the 804 quotations, the three rules that the researchers most frequently referred were the power of the meta-analysis (Rule #2, 14.1%), the consistency of the search coverage and reference space (Rule #4, 13.8%), and the statistical threshold (Rule #8, 10.2%). Overall, 63 quotations from 51 papers contained some errors. In other words, 7.8% (63/804) of the quotations contained errors and they involved 13.3% (51/384) of the papers. The commonest quotation errors were dealing with a failure to substantiate the assertion, unrelated to the assertion, and oversimplification of the original notion. Some notable quotation error examples were to quote Müller et al. to substantiate the assertion of having at least 10 datasets to be considered to have adequate power for ES-SDM meta-analysis (no such recommendation), and having a misquoted primary cluster-forming threshold of p < 0.05 or p < 0.005 (should be p < 0.001). The neuroscience community should be cautious and double-check the accuracy of assertions, even with a quotation.
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Affiliation(s)
- Andy Wai Kan Yeung
- Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China.
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41
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Chaudhary S, Zhang S, Zhornitsky S, Chen Y, Chao HH, Li CSR. Age-related reduction in trait anxiety: Behavioral and neural evidence of automaticity in negative facial emotion processing. Neuroimage 2023; 276:120207. [PMID: 37263454 PMCID: PMC10330646 DOI: 10.1016/j.neuroimage.2023.120207] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 05/14/2023] [Accepted: 05/29/2023] [Indexed: 06/03/2023] Open
Abstract
Trait anxiety diminishes with age, which may result from age-related decline in registering salient emotional stimuli and/or enhancement in emotion regulation. We tested the hypotheses in 88 adults 21 to 85 years of age and studied with fMRI of the Hariri task. Age-related decline in stimulus registration would manifest in delayed reaction time (RT) and diminished saliency circuit activity in response to emotional vs. neutral stimuli. Enhanced control of negative emotions would manifest in diminished limbic/emotional circuit and higher prefrontal cortical (PFC) responses to negative emotion. The results showed that anxiety was negatively correlated with age. Age was associated with faster RT and diminished activation of the medial PFC, in the area of the dorsal and rostral anterior cingulate cortex (dACC/rACC) - a hub of the saliency circuit - during matching of negative but not positive vs. neutral emotional faces. A slope test confirmed the differences in the regressions. Further, age was not associated with activation of the PFC in whole-brain regression or in region-of-interest analysis of the dorsolateral PFC, an area identified from meta-analyses of the emotion regulation literature. Together, the findings fail to support either hypothesis; rather, the findings suggest age-related automaticity in processing negative emotions as a potential mechanism of diminished anxiety. Automaticity results in faster RT and diminished anterior cingulate activity in response to negative but not positive emotional stimuli. In support, analyses of psychophysiological interaction demonstrated higher dACC/rACC connectivity with the default mode network, which has been implicated in automaticity in information processing. As age increased, individuals demonstrated faster RT with higher connectivity during matching of negative vs. neutral images. Automaticity in negative emotion processing needs to be investigated as a mechanism of age-related reduction in anxiety.
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Affiliation(s)
- Shefali Chaudhary
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, United States.
| | - Sheng Zhang
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, United States.
| | - Simon Zhornitsky
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, United States.
| | - Yu Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, United States.
| | - Herta H Chao
- VA Connecticut Healthcare System, West Haven, CT 06516, United States; Department of Medicine, Yale University School of Medicine, New Haven, CT 06519, United States.
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, United States; Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06520, United States; Wu Tsai Institute, Yale University, New Haven, CT 06520, United States.
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42
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Yan H, Wu H, Cai Z, Du S, Li L, Xu B, Chang C, Wang N. The neural correlates of apathy in the context of aging and brain disorders: a meta-analysis of neuroimaging studies. Front Aging Neurosci 2023; 15:1181558. [PMID: 37396666 PMCID: PMC10311641 DOI: 10.3389/fnagi.2023.1181558] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 06/05/2023] [Indexed: 07/04/2023] Open
Abstract
Introduction Apathy is a prevalent mood disturbance that occurs in a wide range of populations, including those with normal cognitive aging, mental disorders, neurodegenerative disorders and traumatic brain injuries. Recently, neuroimaging technologies have been employed to elucidate the neural substrates underlying brain disorders accompanying apathy. However, the consistent neural correlates of apathy across normal aging and brain disorders are still unclear. Methods This paper first provides a brief review of the neural mechanism of apathy in healthy elderly individuals, those with mental disorders, neurodegenerative disorders, and traumatic brain injuries. Further, following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines, the structural and functional neuroimaging meta-analysis using activation likelihood estimation method is performed on the apathy group with brain disorders and the healthy elderly, aiming at exploring the neural correlates of apathy. Results The structural neuroimaging meta-analysis showed that gray matter atrophy is associated with apathy in the bilateral precentral gyrus (BA 13/6), bilateral insula (BA 47), bilateral medial frontal gyrus (BA 11), bilateral inferior frontal gyrus, left caudate (putamen) and right anterior cingulate, while the functional neuroimaging meta-analysis suggested that the functional connectivity in putamen and lateral globus pallidus is correlated with apathy. Discussion Through the neuroimaging meta-analysis, this study has identified the potential neural locations of apathy in terms of brain structure and function, which may offer valuable pathophysiological insights for developing more effective therapeutic interventions for affected patients.
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Affiliation(s)
- Hongjie Yan
- Department of Neurology, Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China
| | - Huijun Wu
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Zenglin Cai
- Department of Neurology, Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou, China
- Department of Neurology, Gusu School, Suzhou Science and Technology Town Hospital, Nanjing Medical University, Suzhou, China
| | - Shouyun Du
- Department of Neurology, Guanyun People’s Hospital, Guanyun, China
| | - Lejun Li
- Department of Neurology, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, China
| | - Bingchao Xu
- Department of Neurology, Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China
| | - Chunqi Chang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
- Pengcheng Laboratory, Shenzhen, China
| | - Nizhuan Wang
- School of Biomedical Engineering, ShanghaiTech University, Shanghai, China
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Gavazzi G, Noferini C, Benedetti V, Cotugno M, Giovannelli F, Caldara R, Mascalchi M, Viggiano MP. Cultural Differences in Inhibitory Control: An ALE Meta-Analysis. Brain Sci 2023; 13:907. [PMID: 37371385 DOI: 10.3390/brainsci13060907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 05/31/2023] [Accepted: 06/02/2023] [Indexed: 06/29/2023] Open
Abstract
Culture greatly influences our attitudes, beliefs, and behaviors, affecting how we communicate and make decisions. There is an ongoing debate regarding the belief that people from Eastern cultures possess greater self-control abilities when compared to people from Western cultures. In this study, we conducted a meta-analysis using the Activation Likelihood Estimation (ALE) algorithm to compare 30 studies (719 subjects, 373 foci) that used fMRI to investigate the performance in Go-Nogo and Stop Signal Tasks of participants from Western and/or Eastern countries. Our meta-analysis found differences between the networks activated in Eastern and Western culture participants. The right prefrontal cortex showed distinct patterns, with the Inferior Frontal gyrus more active in the Eastern group and the middle and superior frontal gyri more active in the Western group. Our findings suggest that Eastern culture subjects have a higher tendency to activate brain regions involved in proactive inhibitory control, while Western culture subjects rely more on reactive inhibitory brain regions during cognitive control tasks. This implies that proactive inhibition may play a crucial role in promoting the collective and interdependent behavior typical of Eastern cultures, while reactive inhibition may be more important for efficient cognitive control in subjects of Western cultures that prioritize individualism and independence.
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Affiliation(s)
- Gioele Gavazzi
- Department of Neuroscience, Psychology, Drug Research and Child's Health (NEUROFARBA), University of Florence, 50135 Florence, Italy
| | - Chiara Noferini
- Department of Neuroscience, Psychology, Drug Research and Child's Health (NEUROFARBA), University of Florence, 50135 Florence, Italy
- European Laboratory for Non-Linear Spectroscopy, University of Florence, Sesto Fiorentino, 50019 Florence, Italy
| | - Viola Benedetti
- Department of Neuroscience, Psychology, Drug Research and Child's Health (NEUROFARBA), University of Florence, 50135 Florence, Italy
| | - Maria Cotugno
- Department of Neuroscience, Psychology, Drug Research and Child's Health (NEUROFARBA), University of Florence, 50135 Florence, Italy
| | - Fabio Giovannelli
- Department of Neuroscience, Psychology, Drug Research and Child's Health (NEUROFARBA), University of Florence, 50135 Florence, Italy
| | - Roberto Caldara
- Eye and Brain Mapping Laboratory (iBMLab), Department of Psychology, University of Fribourg, 1700 Fribourg, Switzerland
| | - Mario Mascalchi
- "Mario Serio" Department of Experimental and Clinical Biomedical Sciences, University of Florence, 50135 Florence, Italy
| | - Maria Pia Viggiano
- Department of Neuroscience, Psychology, Drug Research and Child's Health (NEUROFARBA), University of Florence, 50135 Florence, Italy
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44
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Antoniou G, Lambourg E, Steele JD, Colvin LA. The effect of adverse childhood experiences on chronic pain and major depression in adulthood: a systematic review and meta-analysis. Br J Anaesth 2023; 130:729-746. [PMID: 37087334 PMCID: PMC10251130 DOI: 10.1016/j.bja.2023.03.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 02/23/2023] [Accepted: 03/04/2023] [Indexed: 04/24/2023] Open
Abstract
BACKGROUND Adverse childhood experiences have been linked to increased multimorbidity, with physical and mental health consequences throughout life. Chronic pain is often associated with mood disorders, such as major depressive disorder (MDD); both have been linked to adverse childhood experiences. It is unclear how the effect of adverse childhood experiences on neural processing impacts on vulnerability to chronic pain, MDD, or both, and whether there are shared mechanisms. We aimed to assess evidence for central neural changes associated with adverse childhood experiences in subjects with chronic pain, MDD, or both using systematic review and meta-analysis. METHODS Electronic databases were systematically searched for neuroimaging studies of adverse childhood experiences, with chronic pain, MDD, or both. Two independent reviewers screened title, abstracts, and full text, and assessed quality. After extraction of neuroimaging data, activation likelihood estimate meta-analysis was performed to identify significant brain regions associated with these comorbidities. RESULTS Forty-nine of 2414 studies were eligible, of which 43 investigated adverse childhood experiences and MDD and six investigated adverse childhood experiences and chronic pain. None investigated adverse childhood experiences, chronic pain, and MDD together. Functional and structural brain abnormalities were identified in the superior frontal, lingual gyrus, hippocampus, insula, putamen, superior temporal, inferior temporal gyrus, and anterior cerebellum in patients with MDD exposed to adverse childhood experiences. In addition, brain function abnormalities were identified for patients with MDD or chronic pain and exposure to adverse childhood experiences in the cingulate gyrus, inferior parietal lobule, and precuneus in task-based functional MRI studies. CONCLUSIONS We found that adverse childhood experiences exposure can result in different functional and structural brain alterations in adults with MDD or chronic pain compared with those without adverse childhood experiences. SYSTEMATIC REVIEW PROTOCOL PROSPERO CRD42021233989.
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Affiliation(s)
- Georgia Antoniou
- Division of Population Health and Genomics, Medical Research Institute, University of Dundee, Dundee, UK.
| | - Emilie Lambourg
- Division of Population Health and Genomics, Medical Research Institute, University of Dundee, Dundee, UK
| | - J Douglas Steele
- Division of Imaging Science and Technology, Medical School, University of Dundee, Dundee, UK
| | - Lesley A Colvin
- Division of Population Health and Genomics, Medical Research Institute, University of Dundee, Dundee, UK
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45
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Zhang M, Peng Y. Anterior insula and dorsal anterior cingulate cortex as a hub of self-regulation: combining activation likelihood estimation meta-analysis and meta-analytic connectivity modeling analysis. Brain Struct Funct 2023:10.1007/s00429-023-02652-9. [PMID: 37219626 DOI: 10.1007/s00429-023-02652-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 05/10/2023] [Indexed: 05/24/2023]
Abstract
Self-regulation, which is an individual's ability to control their emotions and behaviors in pursuit of goals, is a complex cognitive function that relies on distributed brain networks. Here, we used activation likelihood estimation (ALE) to conduct two large-scale meta-analyses of brain imaging studies of emotional regulation and behavioral regulation. We used single analysis of ALE to identify brain activation regions associated with behavioral regulation and emotion regulation. The conjunction results of the contrast analysis of the two domains showed that the crucial brain regions of dorsal anterior cingulate cortex (dACC), bilateral anterior insula (AI), and right inferior parietal lobule (IPL) are nested within the brain areas of the two regulation domains at the spatial and functional level. In addition, we assessed the coactivation pattern of the four common regions using meta-analytic connectivity modeling (MACM). The coactivation brain patterns based on the dACC and bilateral AI overlapped with the two regulation brain maps in a high proportion. Furthermore, the functional characters of the identified common regions were reverse-inferenced using the BrainMap database. Collectively, these results indicate that the brain regions of dACC and bilateral AI, playing a crucial role as a hub to other brain regions and networks by effective connectivity in self-regulation, are spatially nested in the brain network of behavioral regulation and emotion regulation.
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Affiliation(s)
- Meng Zhang
- Department of Psychology, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China.
- Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China.
| | - Yunwen Peng
- Department of Psychology, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
- Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
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46
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Nichols ES, Blumenthal A, Kuenzel E, Skinner JK, Duerden EG. Hippocampus long-axis specialization throughout development: A meta-analysis. Hum Brain Mapp 2023. [PMID: 37209288 DOI: 10.1002/hbm.26340] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 05/02/2023] [Accepted: 05/04/2023] [Indexed: 05/22/2023] Open
Abstract
The human adult hippocampus can be subdivided into the head, or anterior hippocampus and its body and tail, or posterior hippocampus, and a wealth of functional differences along the longitudinal axis have been reported. One line of literature emphasizes specialization for different aspects of cognition, whereas another emphasizes the unique role of the anterior hippocampus in emotional processing. While some research suggests that functional differences in memory between the anterior and posterior hippocampus appear early in development, it remains unclear whether this is also the case for functional differences in emotion processing. The goal of this meta-analysis was to determine whether the long-axis functional specialization observed in adults is present earlier in development. Using a quantitative meta-analysis, long-axis functional specialization was assessed using the data from 26 functional magnetic resonance imaging studies, which included 39 contrasts and 804 participants ranging in age from 4 to 21 years. Results indicated that emotion was more strongly localized to the anterior hippocampus, with memory being more strongly localized to the posterior hippocampus, demonstrating long-axis specialization with regard to memory and emotion in children similar to that seen in adults. An additional analysis of laterality indicated that while memory was left dominant, emotion was processed bilaterally.
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Affiliation(s)
- Emily S Nichols
- Faculty of Education, Western University, London, Canada
- Western Institute for Neuroscience, Western University, London, Canada
| | - Anna Blumenthal
- Cervo Brain Research Centre, Université Laval, Quebec, Canada
| | | | | | - Emma G Duerden
- Faculty of Education, Western University, London, Canada
- Western Institute for Neuroscience, Western University, London, Canada
- Pediatrics, Schulich School of Medicine & Dentistry, Western University, London, Canada
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47
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Cieslik EC, Ullsperger M, Gell M, Eickhoff SB, Langner R. Success versus failure in cognitive control: meta-analytic evidence from neuroimaging studies on error processing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.10.540136. [PMID: 37214978 PMCID: PMC10197606 DOI: 10.1101/2023.05.10.540136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Brain mechanisms of error processing have often been investigated using response interference tasks and focusing on the posterior medial frontal cortex, which is also implicated in resolving response conflict in general. Thereby, the role other brain regions may play has remained undervalued. Here, activation likelihood estimation meta-analyses were used to synthesize the neuroimaging literature on brain activity related to committing errors versus responding successfully in interference tasks and to test for commonalities and differences. The salience network and the temporoparietal junction were commonly recruited irrespective of whether responses were correct or incorrect, pointing towards a general involvement in coping with situations that call for increased cognitive control. The dorsal posterior cingulate cortex, posterior thalamus, and left superior frontal gyrus showed error-specific convergence, which underscores their consistent involvement when performance goals are not met. In contrast, successful responding revealed stronger convergence in the dorsal attention network and lateral prefrontal regions. Underrecruiting these regions in error trials may reflect failures in activating the task-appropriate stimulus-response contingencies necessary for successful response execution.
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Affiliation(s)
- Edna C. Cieslik
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
| | - Markus Ullsperger
- Institute of Psychology, Otto-von-Guericke University, D-39106 Magdeburg, Germany
- Center for Behavioral Brain Sciences, Magdeburg, Germany
| | - Martin Gell
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Simon B. Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
| | - Robert Langner
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
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48
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Hauptman M, Blank I, Fedorenko E. Non-literal language processing is jointly supported by the language and theory of mind networks: Evidence from a novel meta-analytic fMRI approach. Cortex 2023; 162:96-114. [PMID: 37023480 PMCID: PMC10210011 DOI: 10.1016/j.cortex.2023.01.013] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 11/08/2022] [Accepted: 01/11/2023] [Indexed: 03/12/2023]
Abstract
Going beyond the literal meaning of language is key to communicative success. However, the mechanisms that support non-literal inferences remain debated. Using a novel meta-analytic approach, we evaluate the contribution of linguistic, social-cognitive, and executive mechanisms to non-literal interpretation. We identified 74 fMRI experiments (n = 1,430 participants) from 2001 to 2021 that contrasted non-literal language comprehension with a literal control condition, spanning ten phenomena (e.g., metaphor, irony, indirect speech). Applying the activation likelihood estimation approach to the 825 activation peaks yielded six left-lateralized clusters. We then evaluated the locations of both the individual-study peaks and the clusters against probabilistic functional atlases (cf. anatomical locations, as is typically done) for three candidate brain networks-the language-selective network (Fedorenko, Behr, & Kanwisher, 2011), which supports language processing, the Theory of Mind (ToM) network (Saxe & Kanwisher, 2003), which supports social inferences, and the domain-general Multiple-Demand (MD) network (Duncan, 2010), which supports executive control. These atlases were created by overlaying individual activation maps of participants who performed robust and extensively validated 'localizer' tasks that selectively target each network in question (n = 806 for language; n = 198 for ToM; n = 691 for MD). We found that both the individual-study peaks and the ALE clusters fell primarily within the language network and the ToM network. These results suggest that non-literal processing is supported by both i) mechanisms that process literal linguistic meaning, and ii) mechanisms that support general social inference. They thus undermine a strong divide between literal and non-literal aspects of language and challenge the claim that non-literal processing requires additional executive resources.
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Affiliation(s)
- Miriam Hauptman
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA; McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, USA; Department of Psychological & Brain Sciences, Johns Hopkins University, Baltimore, MD 21218, USA.
| | - Idan Blank
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA; McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, USA; Department of Psychology, UCLA, Los Angeles, CA 90095, USA; Department of Linguistics, UCLA, Los Angeles, CA 90095, USA
| | - Evelina Fedorenko
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA; McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, USA; Program in Speech and Hearing in Bioscience and Technology, Harvard University, Boston, MA 02114, USA.
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Dang Q, Ma F, Yuan Q, Fu Y, Chen K, Zhang Z, Lu C, Guo T. Processing negative emotion in two languages of bilinguals: Accommodation and assimilation of the neural pathways based on a meta-analysis. Cereb Cortex 2023:7133665. [PMID: 37083264 DOI: 10.1093/cercor/bhad121] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 03/14/2023] [Accepted: 03/17/2023] [Indexed: 04/22/2023] Open
Abstract
Numerous functional magnetic resonance imaging (fMRI) studies have examined the neural mechanisms of negative emotional words, but scarce evidence is available for the interactions among related brain regions from the functional brain connectivity perspective. Moreover, few studies have addressed the neural networks for negative word processing in bilinguals. To fill this gap, the current study examined the brain networks for processing negative words in the first language (L1) and the second language (L2) with Chinese-English bilinguals. To identify objective indicators associated with negative word processing, we first conducted a coordinate-based meta-analysis on contrasts between negative and neutral words (including 32 contrasts from 1589 participants) using the activation likelihood estimation method. Results showed that the left medial prefrontal cortex (mPFC), the left inferior frontal gyrus (IFG), the left posterior cingulate cortex (PCC), the left amygdala, the left inferior temporal gyrus (ITG), and the left thalamus were involved in processing negative words. Next, these six clusters were used as regions of interest in effective connectivity analyses using extended unified structural equation modeling to pinpoint the brain networks for bilingual negative word processing. Brain network results revealed two pathways for negative word processing in L1: a dorsal pathway consisting of the left IFG, the left mPFC, and the left PCC, and a ventral pathway involving the left amygdala, the left ITG, and the left thalamus. We further investigated the similarity and difference between brain networks for negative word processing in L1 and L2. The findings revealed similarities in the dorsal pathway, as well as differences primarily in the ventral pathway, indicating both neural assimilation and accommodation across processing negative emotion in two languages of bilinguals.
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Affiliation(s)
- Qinpu Dang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Fengyang Ma
- School of Education, University of Cincinnati, Cincinnati, OH 45219, USA
| | - Qiming Yuan
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Yongben Fu
- The Psychological Education and Counseling Center, Huazhong Agricultural University, Wuhan 430070, China
| | - Keyue Chen
- Division of Psychology and Language Sciences, University College London, London WC1E 6BT, UK
| | - Zhaoqi Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Chunming Lu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China
| | - Taomei Guo
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China
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50
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Salera C, Boccia M, Pecchinenda A. Segregation of Neural Circuits Involved in Social Gaze and Non-Social Arrow Cues: Evidence from an Activation Likelihood Estimation Meta-Analysis. Neuropsychol Rev 2023:10.1007/s11065-023-09593-4. [PMID: 37067764 DOI: 10.1007/s11065-023-09593-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 03/21/2023] [Indexed: 04/18/2023]
Abstract
Orienting attention by social gaze cues shares some characteristics with orienting attention by non-social arrow cues, but it is unclear whether they rely on similar neural mechanisms. The present ALE-meta-analysis assessed the pattern of brain activation reported in 40 single experiments (18 with arrows, 22 with gaze), with a total number of 806 participants. Our findings show that the network for orienting attention by social gaze and by non-social arrow cues is in part functionally segregated. Orienting by both types of cues relies on the activity of brain regions involved in endogenous attention (the superior frontal gyrus). Importantly, only orienting by gaze cues was also associated with the activity of brain regions involved in exogenous attention (medial frontal gyrus), processing gaze, and mental state attribution (superior temporal sulcus, temporoparietal junction).
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Affiliation(s)
- Claudia Salera
- Ph.D. Program in Behavioural Neuroscience, Department of Psychology, "Sapienza" University of Rome, Via Dei Marsi, 78, 00185, Rome, Italy
- Department of Psychology, Sapienza University of Rome, Via Dei Marsi, 78, 00185, Rome, Italy
| | - Maddalena Boccia
- Department of Psychology, Sapienza University of Rome, Via Dei Marsi, 78, 00185, Rome, Italy
- Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Santa Lucia, Rome, Italy
| | - Anna Pecchinenda
- Department of Psychology, Sapienza University of Rome, Via Dei Marsi, 78, 00185, Rome, Italy.
- Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Santa Lucia, Rome, Italy.
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