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Peraza JA, Salo T, Riedel MC, Bottenhorn KL, Poline JB, Dockès J, Kent JD, Bartley JE, Flannery JS, Hill-Bowen LD, Lobo RP, Poudel R, Ray KL, Robinson JL, Laird RW, Sutherland MT, de la Vega A, Laird AR. Methods for decoding cortical gradients of functional connectivity. bioRxiv 2023:2023.08.01.551505. [PMID: 37577598 PMCID: PMC10418206 DOI: 10.1101/2023.08.01.551505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Macroscale gradients have emerged as a central principle for understanding functional brain organization. Previous studies have demonstrated that a principal gradient of connectivity in the human brain exists, with unimodal primary sensorimotor regions situated at one end and transmodal regions associated with the default mode network and representative of abstract functioning at the other. The functional significance and interpretation of macroscale gradients remains a central topic of discussion in the neuroimaging community, with some studies demonstrating that gradients may be described using meta-analytic functional decoding techniques. However, additional methodological development is necessary to fully leverage available meta-analytic methods and resources and quantitatively evaluate their relative performance. Here, we conducted a comprehensive series of analyses to investigate and improve the framework of data-driven, meta-analytic methods, thereby establishing a principled approach for gradient segmentation and functional decoding. We found that a two-segment solution determined by a k-means segmentation approach and an LDA-based meta-analysis combined with the NeuroQuery database was the optimal combination of methods for decoding functional connectivity gradients. Finally, we proposed a method for decoding additional components of the gradient decomposition. The current work aims to provide recommendations on best practices and flexible methods for gradient-based functional decoding of fMRI data.
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Affiliation(s)
- Julio A. Peraza
- Department of Physics, Florida International University, Miami, FL, USA
| | - Taylor Salo
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Katherine L. Bottenhorn
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Jean-Baptiste Poline
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Jérôme Dockès
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - James D. Kent
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
| | | | - Jessica S. Flannery
- Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, NC, USA
| | | | | | - Ranjita Poudel
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - Kimberly L. Ray
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
| | | | - Robert W. Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | | | | | - Angela R. Laird
- Department of Physics, Florida International University, Miami, FL, USA
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Diveica V, Riedel MC, Salo T, Laird AR, Jackson RL, Binney RJ. Graded functional organization in the left inferior frontal gyrus: evidence from task-free and task-based functional connectivity. Cereb Cortex 2023; 33:11384-11399. [PMID: 37833772 PMCID: PMC10690868 DOI: 10.1093/cercor/bhad373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 08/17/2023] [Accepted: 09/18/2023] [Indexed: 10/15/2023] Open
Abstract
The left inferior frontal gyrus has been ascribed key roles in numerous cognitive domains, such as language and executive function. However, its functional organization is unclear. Possibilities include a singular domain-general function, or multiple functions that can be mapped onto distinct subregions. Furthermore, spatial transition in function may be either abrupt or graded. The present study explored the topographical organization of the left inferior frontal gyrus using a bimodal data-driven approach. We extracted functional connectivity gradients from (i) resting-state fMRI time-series and (ii) coactivation patterns derived meta-analytically from heterogenous sets of task data. We then sought to characterize the functional connectivity differences underpinning these gradients with seed-based resting-state functional connectivity, meta-analytic coactivation modeling and functional decoding analyses. Both analytic approaches converged on graded functional connectivity changes along 2 main organizational axes. An anterior-posterior gradient shifted from being preferentially associated with high-level control networks (anterior functional connectivity) to being more tightly coupled with perceptually driven networks (posterior). A second dorsal-ventral axis was characterized by higher connectivity with domain-general control networks on one hand (dorsal functional connectivity), and with the semantic network, on the other (ventral). These results provide novel insights into an overarching graded functional organization of the functional connectivity that explains its role in multiple cognitive domains.
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Affiliation(s)
- Veronica Diveica
- Department of Psychology & Cognitive Neuroscience Institute, Bangor University, Bangor, Wales LL57 2AS, United Kingdom
- Department of Neurology and Neurosurgery & Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Michael C Riedel
- Department of Physics, Florida International University, Miami, FL 33199, United States
| | - Taylor Salo
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, United States
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL 33199, United States
| | - Rebecca L Jackson
- Department of Psychology & York Biomedical Research Institute, University of York, York, YO10 5DD, United Kingdom
| | - Richard J Binney
- Department of Psychology & Cognitive Neuroscience Institute, Bangor University, Bangor, Wales LL57 2AS, United Kingdom
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Meca A, Peraza JA, Riedel MC, Hale W, Pettit JW, Musser ED, Salo T, Flannery JS, Bottenhorn KL, Dick AS, Pintos Lobo R, Ucros LM, Greaves CA, Hawes SW, Sanchez M, Gonzalez MR, Sutherland MT, Gonzalez R, Laird AR. Acculturative Orientations Among Hispanic/Latinx Caregivers in the ABCD Study: Associations With Caregiver and Youth Mental Health and Youth Brain Function. Biol Psychiatry Glob Open Sci 2023; 3:785-796. [PMID: 37881576 PMCID: PMC10593892 DOI: 10.1016/j.bpsgos.2023.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 02/08/2023] [Accepted: 02/09/2023] [Indexed: 02/19/2023] Open
Abstract
Background Population-based neuroscience offers opportunities to examine important but understudied sociocultural factors such as acculturation. Acculturation refers to the extent to which an individual retains their cultural heritage and/or adopts the receiving society's culture and is particularly salient among Hispanic/Latinx immigrants. Specific acculturative orientations have been linked to vulnerability to substance use, depression, and suicide and are known to influence family dynamics between caregivers and their children. Methods Using data from first- and second-generation Hispanic/Latinx caregivers in the Adolescent Brain Cognitive Development (ABCD) Study (N = 1057), we examined how caregivers' acculturative orientation affects their mental health, as well as the mental health and brain function of their children. Neuroimaging analyses focused on regions associated with self- and affiliation-based social processing (ventromedial prefrontal cortex, insula, and temporoparietal junction). Results We identified 2 profiles of caregiver acculturation: bicultural (retains heritage culture while adopting U.S. culture) and detached (discards heritage culture and rejects U.S. culture). Bicultural caregivers exhibited fewer internalizing and externalizing problems than detached caregivers; furthermore, youth exhibited similar internalizing effects across caregiver profiles. In addition, youth with bicultural caregivers displayed increased resting-state brain activity (i.e., fractional amplitude of low-frequency fluctuations and regional homogeneity) in the left insula, which has been linked to psychopathology; however, differences in long-range functional connectivity were not significant. Conclusions Caregiver acculturation is an important familial factor that has been linked to significant differences in youth mental health and insula activity. Future work should examine sociocultural and neurodevelopmental changes across adolescence to assess health outcomes and determine whether localized, corticolimbic brain effects are ultimately translated into long-range connectivity differences.
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Affiliation(s)
- Alan Meca
- Department of Psychology, University of Texas San Antonio, San Antonio, Texas
| | - Julio A. Peraza
- Department of Physics, Florida International University, Miami, Florida
| | - Michael C. Riedel
- Department of Physics, Florida International University, Miami, Florida
| | - Willie Hale
- Department of Psychology, University of Texas San Antonio, San Antonio, Texas
| | - Jeremy W. Pettit
- Department of Psychology, Florida International University, Miami, Florida
| | - Erica D. Musser
- Department of Psychology, Florida International University, Miami, Florida
| | - Taylor Salo
- Department of Psychology, Florida International University, Miami, Florida
| | - Jessica S. Flannery
- Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, North Carolina
| | - Katherine L. Bottenhorn
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California
| | - Anthony S. Dick
- Department of Psychology, Florida International University, Miami, Florida
| | | | - Laura M. Ucros
- School of Integrated Science and Humanities, Florida International University, Miami, Florida
| | - Chelsea A. Greaves
- School of Integrated Science and Humanities, Florida International University, Miami, Florida
| | - Samuel W. Hawes
- Department of Psychology, Florida International University, Miami, Florida
| | - Mariana Sanchez
- Department of Health Promotion and Disease Prevention, Florida International University, Miami, Florida
| | | | | | - Raul Gonzalez
- Department of Psychology, Florida International University, Miami, Florida
| | - Angela R. Laird
- Department of Physics, Florida International University, Miami, Florida
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Smith DD, Meca A, Bottenhorn KL, Bartley JE, Riedel MC, Salo T, Peraza JA, Laird RW, Pruden SM, Sutherland MT, Brewe E, Laird AR. Task-based attentional and default mode connectivity associated with science and math anxiety profiles among university physics students. Trends Neurosci Educ 2023; 32:100204. [PMID: 37689430 PMCID: PMC10501206 DOI: 10.1016/j.tine.2023.100204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 05/15/2023] [Accepted: 05/24/2023] [Indexed: 09/11/2023]
Abstract
PURPOSE Attentional control theory (ACT) posits that elevated anxiety increases the probability of re-allocating cognitive resources needed to complete a task to processing anxiety-related stimuli. This process impairs processing efficiency and can lead to reduced performance effectiveness. Science, technology, engineering, and math (STEM) students frequently experience anxiety about their coursework, which can interfere with learning and performance and negatively impact student retention and graduation rates. The objective of this study was to extend the ACT framework to investigate the neurobiological associations between science and math anxiety and cognitive performance among 123 physics undergraduate students. PROCEDURES Latent profile analysis (LPA) identified four profiles of science and math anxiety among STEM students, including two profiles that represented the majority of the sample (Low Science and Math Anxiety; 59.3% and High Math Anxiety; 21.9%) and two additional profiles that were not well represented (High Science and Math Anxiety; 6.5% and High Science Anxiety; 4.1%). Students underwent a functional magnetic resonance imaging (fMRI) session in which they performed two tasks involving physics cognition: the Force Concept Inventory (FCI) task and the Physics Knowledge (PK) task. FINDINGS No significant differences were observed in FCI or PK task performance between High Math Anxiety and Low Science and Math Anxiety students. During the three phases of the FCI task, we found no significant brain connectivity differences during scenario and question presentation, yet we observed significant differences during answer selection within and between the dorsal attention network (DAN), ventral attention network (VAN), and default mode network (DMN). Further, we found significant group differences during the PK task were limited to the DAN, including DAN-VAN and within-DAN connectivity. CONCLUSIONS These results highlight the different cognitive processes required for physics conceptual reasoning compared to physics knowledge retrieval, provide new insight into the underlying brain dynamics associated with anxiety and physics cognition, and confirm the relevance of ACT theory for science and math anxiety.
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Affiliation(s)
- Donisha D Smith
- Department of Psychology, Florida International University, Miami, FL, United States of America.
| | - Alan Meca
- Department of Psychology, University of Texas San Antonio, San Antonio, United States of America
| | - Katherine L Bottenhorn
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States of America
| | - Jessica E Bartley
- Department of Physics, Florida International University, Miami, FL, United States of America
| | - Michael C Riedel
- Department of Physics, Florida International University, Miami, FL, United States of America
| | - Taylor Salo
- Department of Psychology, Florida International University, Miami, FL, United States of America
| | - Julio A Peraza
- Department of Physics, Florida International University, Miami, FL, United States of America
| | - Robert W Laird
- Department of Physics, Florida International University, Miami, FL, United States of America
| | - Shannon M Pruden
- Department of Psychology, Florida International University, Miami, FL, United States of America
| | - Matthew T Sutherland
- Department of Psychology, Florida International University, Miami, FL, United States of America
| | - Eric Brewe
- Department of Physics, Drexel University, Philadelphia, PA, United States of America
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, United States of America
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5
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Diveica V, Riedel MC, Salo T, Laird AR, Jackson RL, Binney RJ. Graded functional organisation in the left inferior frontal gyrus: evidence from task-free and task-based functional connectivity. bioRxiv 2023:2023.02.02.526818. [PMID: 36778322 PMCID: PMC9915604 DOI: 10.1101/2023.02.02.526818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The left inferior frontal gyrus (LIFG) has been ascribed key roles in numerous cognitive domains, including language, executive function and social cognition. However, its functional organisation, and how the specific areas implicated in these cognitive domains relate to each other, is unclear. Possibilities include that the LIFG underpins a domain-general function or, alternatively, that it is characterized by functional differentiation, which might occur in either a discrete or a graded pattern. The aim of the present study was to explore the topographical organisation of the LIFG using a bimodal data-driven approach. To this end, we extracted functional connectivity (FC) gradients from 1) the resting-state fMRI time-series of 150 participants (77 female), and 2) patterns of co-activation derived meta-analytically from task data across a diverse set of cognitive domains. We then sought to characterize the FC differences driving these gradients with seed-based resting-state FC and meta-analytic co-activation modelling analyses. Both analytic approaches converged on an FC profile that shifted in a graded fashion along two main organisational axes. An anterior-posterior gradient shifted from being preferentially associated with high-level control networks (anterior LIFG) to being more tightly coupled with perceptually-driven networks (posterior). A second dorsal-ventral axis was characterized by higher connectivity with domain-general control networks on one hand (dorsal LIFG), and with the semantic network, on the other (ventral). These results provide novel insights into a graded functional organisation of the LIFG underpinning both task-free and task-constrained mental states, and suggest that the LIFG is an interface between distinct large-scale functional networks.
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Affiliation(s)
- Veronica Diveica
- Cognitive Neuroscience Institute, Department of Psychology, School of Human and Behavioural Sciences, Bangor University, Wales, UK
| | - Michael C. Riedel
- Department of Physics, Florida International University, Miami, FL, USA
| | - Taylor Salo
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Angela R. Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Rebecca L. Jackson
- Department of Psychology & York Biomedical Research Institute, University of York, UK
| | - Richard J. Binney
- Cognitive Neuroscience Institute, Department of Psychology, School of Human and Behavioural Sciences, Bangor University, Wales, UK
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6
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Kondracki AJ, Riedel MC, Crooks K, Perez PV, Flannery JS, Laird AR, Sutherland MT. The Link Between Neuroticism and Everyday Cognitive Failures is Mediated by Self-Reported Mindfulness Among College Students. Psychol Rep 2023; 126:265-287. [PMID: 34772304 DOI: 10.1177/00332941211048467] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Neuroticism has been linked to an increased likelihood of cognitive failures, including episodes of inattentiveness, forgetfulness, or accidents causing difficulties in successfully executing everyday tasks and impacting health and quality of life. Cognitive failures associated with trait neuroticism can prompt some negative psychological outcomes and risky behaviors. Accumulating evidence shows that augmenting mindfulness can benefit cognitive health and general well-being. However, little is known regarding potential cognitive-behavioral pathways through which individual differences in trait neuroticism could influence the propensity to cognitive failures. Using a sample of 1003 undergraduate college students (females: n = 779) consisting of self-reported questionnaire data, we conducted correlational and mediational analyses to investigate the interrelationship between neuroticism, mindfulness, and cognitive failures. Higher neuroticism scores (females: r = -0.388, males: r = -0.390) and higher cognitive failures scores (females: r = -0.339, males: r = -0.407, p < .001) were significantly correlated with lower self-reported mindfulness scores. Mindfulness significantly mediated the relationship between neuroticism and cognitive failures (β = 0.50, 95%, CI: 0.37, 0.65). These findings indicate that higher mindfulness may help ameliorate negative effects of neuroticism on everyday cognitive failures. Future research will determine how college students may benefit from positive impact of mindfulness to improve their psychological and physical health.
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Affiliation(s)
- Anthony J Kondracki
- Center for Children and Families, 5450Florida International University, Miami, FL, USA
| | - Michael C Riedel
- Department of Physics, 5450Florida International University, Miami, FL, USA
| | - Katharine Crooks
- Department of Psychology, 5450Florida International University, Miami, FL, USA
| | | | - Jessica S Flannery
- Department of Psychology, 5450Florida International University, Miami, FL, USA
| | - Angela R Laird
- Department of Physics, 5450Florida International University, Miami, FL, USA
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Pintos Lobo R, Bottenhorn KL, Riedel MC, Toma AI, Hare MM, Smith DD, Moor AC, Cowan IK, Valdes JA, Bartley JE, Salo T, Boeving ER, Pankey B, Sutherland MT, Musser ED, Laird AR. Neural systems underlying RDoC social constructs: An activation likelihood estimation meta-analysis. Neurosci Biobehav Rev 2023; 144:104971. [PMID: 36436737 PMCID: PMC9843621 DOI: 10.1016/j.neubiorev.2022.104971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 10/13/2022] [Accepted: 11/21/2022] [Indexed: 11/27/2022]
Abstract
Neuroscientists have sought to identify the underlying neural systems supporting social processing that allow interaction and communication, forming social relationships, and navigating the social world. Through the use of NIMH's Research Domain Criteria (RDoC) framework, we evaluated consensus among studies that examined brain activity during social tasks to elucidate regions comprising the "social brain". We examined convergence across tasks corresponding to the four RDoC social constructs, including Affiliation and Attachment, Social Communication, Perception and Understanding of Self, and Perception and Understanding of Others. We performed a series of coordinate-based meta-analyses using the activation likelihood estimate (ALE) method. Meta-analysis was performed on whole-brain coordinates reported from 864 fMRI contrasts using the NiMARE Python package, revealing convergence in medial prefrontal cortex, anterior cingulate cortex, posterior cingulate cortex, temporoparietal junction, bilateral insula, amygdala, fusiform gyrus, precuneus, and thalamus. Additionally, four separate RDoC-based meta-analyses revealed differential convergence associated with the four social constructs. These outcomes highlight the neural support underlying these social constructs and inform future research on alterations among neurotypical and atypical populations.
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Affiliation(s)
| | - Katherine L Bottenhorn
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Michael C Riedel
- Department of Physics, Florida International University, Miami, FL, USA
| | - Afra I Toma
- Department of Biomedical Engineering, Emory University, Atlanta, GA, USA
| | - Megan M Hare
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Donisha D Smith
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Alexandra C Moor
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Isis K Cowan
- Department of Psychology, Old Dominion University, Norfolk, VA, USA
| | - Javier A Valdes
- College of Medicine, Florida International University, Miami, FL, USA
| | - Jessica E Bartley
- Department of Physics, Florida International University, Miami, FL, USA
| | - Taylor Salo
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Emily R Boeving
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Brianna Pankey
- Department of Psychology, Florida International University, Miami, FL, USA
| | | | - Erica D Musser
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA
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8
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Sutherland BD, Viera Perez PM, Crooks KE, Flannery JS, Hill-Bowen LD, Riedel MC, Laird AR, Trucco EM, Sutherland MT. The association of amygdala-insula functional connectivity and adolescent e-cigarette use via sleep problems and depressive symptoms. Addict Behav 2022; 135:107458. [PMID: 35998541 PMCID: PMC9730909 DOI: 10.1016/j.addbeh.2022.107458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 06/16/2022] [Accepted: 08/02/2022] [Indexed: 11/20/2022]
Abstract
BACKGROUND Adolescent electronic cigarette (e-cigarette) use remains high. Elucidating contributing factors may enhance prevention strategies. Neurobiologically, amygdala-insula resting-state functional connectivity (rsFC) has been linked with aspects of sleep, affect, and substance use (SU). As such, we hypothesized that amygdala's rsFC with the insula would be associated with e-cigarette use via sleep problems and/or depression levels. METHODS An adolescent sample (N = 146) completed a rs-fMRI scan at time 1 and self-reports at time 2 (∼15 months later). Given consistent associations between mental health outcomes and the rsFC of the laterobasal amygdala (lbAMY) with the anterior insula, we utilized a seed region (lbAMY) to region of interest (ROI) analysis approach to characterize brain-behavior relationships. Two serial mediation models tested the interrelations between amygdala's rsFC with distinct anterior insula subregions (i.e., ventral insula [vI], dorsal insula [dI]), sleep problems, depression levels, and days of e-cigarette use. RESULTS An indirect effect was observed when considering the lbAMY's rsFC with the vI. Greater rsFC predicted more sleep problems, more sleep problems were linked with greater depressive symptoms, and greater depressive symptoms were associated with more e-cigarette use (indirect effect = 0.08, CI [0.01,0.21]). Indicative of a neurobiological dissociation, a similar indirect effect linking these variables was not observed when considering the lbAMY's rsFC with the dI (indirect effect = 0.03, CI [-0.001,0.10]). CONCLUSIONS These outcomes highlight functional interactions between the amygdala and insula as a neurobiological contributor to sleep problems, depressive symptoms, and ultimately SU thereby suggesting potential intervention points to reduce teen e-cigarette use.
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Affiliation(s)
| | | | - Katharine E Crooks
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Jessica S Flannery
- Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, NC, United States
| | - Lauren D Hill-Bowen
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Michael C Riedel
- Department of Physics, Florida International University, Miami, FL, United States
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, United States
| | - Elisa M Trucco
- Department of Psychology, Florida International University, Miami, FL, United States; Addiction Center, University of Michigan, Ann Arbor, MI, United States; Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
| | - Matthew T Sutherland
- Department of Psychology, Florida International University, Miami, FL, United States
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9
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Hill-Bowen LD, Riedel MC, Salo T, Flannery JS, Poudel R, Laird AR, Sutherland MT. Convergent gray matter alterations across drugs of abuse and network-level implications: A meta-analysis of structural MRI studies. Drug Alcohol Depend 2022; 240:109625. [PMID: 36115222 DOI: 10.1016/j.drugalcdep.2022.109625] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 09/01/2022] [Accepted: 09/06/2022] [Indexed: 01/06/2023]
Abstract
BACKGROUND Neuroimaging studies often consider brain alterations linked with substance abuse within the context of individual drugs (e.g., nicotine), while neurobiological theories of addiction emphasize common brain network-level alterations across drug classes. Using emergent meta-analytic techniques, we identified common structural brain alterations across drugs and characterized the functionally-connected networks with which such structurally altered regions interact. METHODS We identified 82 articles characterizing gray matter (GM) volume differences for substance users vs. controls. Using the anatomical likelihood estimation algorithm, we identified convergent GM reductions across drug classes. Next, we performed resting-state and meta-analytic functional connectivity analyses using each structurally altered region as a seed and computed whole-brain functional connectivity profiles as the union of both maps. We characterized an "extended network" by identifying brain areas demonstrating the highest degree of functional coupling with structurally impacted regions. Finally, hierarchical clustering was performed leveraging extended network nodes' functional connectivity profiles to delineate subnetworks. RESULTS Across drug classes, we identified medial frontal/ventromedial prefrontal, and multiple regions in anterior cingulate (ACC) and insula as regions displaying convergent GM reductions among users. Overlap of these regions' functional connectivity profiles identified ACC, inferior frontal, PCC, insula, superior temporal, and putamen as regions of an impacted extended network. Hierarchical clustering revealed 3 subnetworks closely corresponding to default mode (PCC, angular), salience (dACC, caudate), and executive control networks (dlPFC and parietal). CONCLUSIONS These outcomes suggest that substance-related structural brain alterations likely have implications for the functioning of canonical large-scale networks and the perpetuation of substance use and neurocognitive alterations.
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Affiliation(s)
- Lauren D Hill-Bowen
- Department of Psychology, Florida International University, 11200 SW 8th Street, Miami, FL 33199, United States
| | - Michael C Riedel
- Department of Physics, Florida International University, 11200 SW 8th Street, Miami, FL 33199, United States
| | - Taylor Salo
- Department of Psychology, Florida International University, 11200 SW 8th Street, Miami, FL 33199, United States
| | - Jessica S Flannery
- Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, NC, United States
| | - Ranjita Poudel
- Department of Psychology, Florida International University, 11200 SW 8th Street, Miami, FL 33199, United States
| | - Angela R Laird
- Department of Physics, Florida International University, 11200 SW 8th Street, Miami, FL 33199, United States
| | - Matthew T Sutherland
- Department of Psychology, Florida International University, 11200 SW 8th Street, Miami, FL 33199, United States.
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10
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Pankey BS, Riedel MC, Cowan I, Bartley JE, Pintos Lobo R, Hill-Bowen LD, Salo T, Musser ED, Sutherland MT, Laird AR. Extended functional connectivity of convergent structural alterations among individuals with PTSD: a neuroimaging meta-analysis. Behav Brain Funct 2022; 18:9. [PMID: 36100907 PMCID: PMC9472396 DOI: 10.1186/s12993-022-00196-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 08/27/2022] [Indexed: 02/04/2023] Open
Abstract
Background Post-traumatic stress disorder (PTSD) is a debilitating disorder defined by the onset of intrusive, avoidant, negative cognitive or affective, and/or hyperarousal symptoms after witnessing or experiencing a traumatic event. Previous voxel-based morphometry studies have provided insight into structural brain alterations associated with PTSD with notable heterogeneity across these studies. Furthermore, how structural alterations may be associated with brain function, as measured by task-free and task-based functional connectivity, remains to be elucidated. Methods Using emergent meta-analytic techniques, we sought to first identify a consensus of structural alterations in PTSD using the anatomical likelihood estimation (ALE) approach. Next, we generated functional profiles of identified convergent structural regions utilizing resting-state functional connectivity (rsFC) and meta-analytic co-activation modeling (MACM) methods. Finally, we performed functional decoding to examine mental functions associated with our ALE, rsFC, and MACM brain characterizations. Results We observed convergent structural alterations in a single region located in the medial prefrontal cortex. The resultant rsFC and MACM maps identified functional connectivity across a widespread, whole-brain network that included frontoparietal and limbic regions. Functional decoding revealed overlapping associations with attention, memory, and emotion processes. Conclusions Consensus-based functional connectivity was observed in regions of the default mode, salience, and central executive networks, which play a role in the tripartite model of psychopathology. Taken together, these findings have important implications for understanding the neurobiological mechanisms associated with PTSD. Supplementary Information The online version contains supplementary material available at 10.1186/s12993-022-00196-2.
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Flannery JS, Riedel MC, Hill-Bowen LD, Poudel R, Bottenhorn KL, Salo T, Laird AR, Gonzalez R, Sutherland MT. Altered large-scale brain network interactions associated with HIV infection and error processing. Netw Neurosci 2022; 6:791-815. [PMID: 36605414 PMCID: PMC9810366 DOI: 10.1162/netn_a_00241] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 02/14/2022] [Indexed: 01/07/2023] Open
Abstract
Altered activity within and between large-scale brain networks has been implicated across various neuropsychiatric conditions. However, patterns of network dysregulation associated with human immunodeficiency virus (HIV), and further impacted by cannabis (CB) use, remain to be delineated. We examined the impact of HIV and CB on resting-state functional connectivity (rsFC) between brain networks and associations with error awareness and error-related network responsivity. Participants (N = 106), stratified into four groups (HIV+/CB+, HIV+/CB-, HIV-/CB+, HIV-/CB-), underwent fMRI scanning while completing a resting-state scan and a modified Go/NoGo paradigm assessing brain responsivity to errors and explicit error awareness. We examined separate and interactive effects of HIV and CB on resource allocation indexes (RAIs), a measure quantifying rsFC strength between the default mode network (DMN), central executive network (CEN), and salience network (SN). We observed reduced RAIs among HIV+ (vs. HIV-) participants, which was driven by increased SN-DMN rsFC. No group differences were detected for SN-CEN rsFC. Increased SN-DMN rsFC correlated with diminished error awareness, but not with error-related network responsivity. These outcomes highlight altered network interactions among participants with HIV and suggest such rsFC dysregulation may persist during task performance, reflecting an inability to disengage irrelevant mental operations, ultimately hindering error processing.
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Affiliation(s)
- Jessica S. Flannery
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Michael C. Riedel
- Department of Physics, Florida International University, Miami, FL, USA
| | | | - Ranjita Poudel
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Katherine L. Bottenhorn
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Taylor Salo
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Angela R. Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Raul Gonzalez
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Matthew T. Sutherland
- Department of Psychology, Florida International University, Miami, FL, USA,* Corresponding Author:
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12
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Poudel R, Tobia MJ, Riedel MC, Salo T, Flannery JS, Hill-Bowen LD, Dick AS, Laird AR, Parra CM, Sutherland MT. Risky decision-making strategies mediate the relationship between amygdala activity and real-world financial savings among individuals from lower income households: A pilot study. Behav Brain Res 2022; 428:113867. [PMID: 35385783 PMCID: PMC10739684 DOI: 10.1016/j.bbr.2022.113867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Revised: 03/06/2022] [Accepted: 03/28/2022] [Indexed: 11/19/2022]
Abstract
Lower financial savings among individuals experiencing adverse social determinants of health (SDoH) increases vulnerabilities during times of crisis. SDoH including low socioeconomic status (low-SES) influence cognitive abilities as well as health and life outcomes that may perpetuate poverty and disparities. Despite evidence suggesting a role for financial growth in minimizing SDoH-related disparities and vulnerabilities, neurobiological mechanisms linked with financial behavior remain to be elucidated. As such, we examined the relationships between brain activity during decision-making (DM), laboratory-based task performance, and money savings behavior. Participants (N = 24, 14 females) from low-SES households (income<$20,000/year) underwent fMRI scanning while performing the Balloon Analogue Risk Task (BART), a DM paradigm probing risky- and strategic-DM processes. Participants also completed self-report instruments characterizing relevant personality characteristics and then engaged in a community outreach financial program where amount of money saved was tracked over a 6-month period. Regarding BART-related brain activity, we observed expected activity in regions implicated in reward and emotional processing including the amygdala. Regarding brain-behavior relationships, we found that laboratory-based BART performance mediated the impact of amygdala activity on real-world behavior. That is, elevated amygdala activity was linked with BART strategic-DM which, in turn, was linked with more money saved after 6 months. In exploratory analyses, this mediation was moderated by emotion-related personality characteristics such that, only individuals reporting lower alexithymia demonstrated a relationship between amygdala activity and savings. These outcomes suggest that DM-related amygdala activity and/or emotion-related personality characteristics may provide utility as an endophenotypic marker of individual's financial savings behavior.
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Affiliation(s)
- Ranjita Poudel
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Michael J Tobia
- Department of Physics, Florida International University, Miami, FL, United States
| | - Michael C Riedel
- Department of Physics, Florida International University, Miami, FL, United States
| | - Taylor Salo
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Jessica S Flannery
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Lauren D Hill-Bowen
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Anthony S Dick
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, United States
| | - Carlos M Parra
- College of Business, Florida International University, Miami, FL, United States
| | - Matthew T Sutherland
- Department of Psychology, Florida International University, Miami, FL, United States.
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13
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Flannery JS, Riedel MC, Salo T, Poudel R, Laird AR, Gonzalez R, Sutherland MT. HIV infection is linked with reduced error-related default mode network suppression and poorer medication management abilities. Prog Neuropsychopharmacol Biol Psychiatry 2021; 111:110398. [PMID: 34224796 PMCID: PMC8380727 DOI: 10.1016/j.pnpbp.2021.110398] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 06/07/2021] [Accepted: 06/29/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Brain activity linked with error processing has rarely been examined among persons living with HIV (PLWH) despite importance for monitoring and modifying behaviors that could lead to adverse health outcomes (e.g., medication non-adherence, drug use, risky sexual practices). Given that cannabis (CB) use is prevalent among PLWH and impacts error processing, we assessed the influence of HIV serostatus and chronic CB use on error-related brain activity while also considering associated implications for everyday functioning and clinically-relevant disease management behaviors. METHODS A sample of 109 participants, stratified into four groups by HIV and CB (HIV+/CB+, n = 32; HIV+/CB-, n = 27; HIV-/CB+, n = 28; HIV-/CB-, n = 22), underwent fMRI scanning while completing a modified Go/NoGo paradigm called the Error Awareness Task (EAT). Participants also completed a battery of well-validated instruments including a subjective report of everyday cognitive failures and an objective measure of medication management abilities. RESULTS Across all participants, we observed expected error-related anterior insula (aI) activation which correlated with better task performance (i.e., less errors) and, among HIV- participants, fewer self-reported cognitive failures. Regarding awareness, greater insula activation as well as greater posterior cingulate cortex (PCC) deactivation were notably linked with aware (vs. unaware) errors. Regarding group effects, unlike HIV- participants, PLWH displayed a lack of error-related deactivation in two default mode network (DMN) regions (i.e., PCC, medial prefrontal cortex [mPFC]). No CB main or interaction effects were detected. Across all participants, reduced error-related PCC deactivation correlated with reduced medication management abilities and PCC deactivation mediated the effect of HIV on such abilities. More lifetime CB use was linked with reduced error-related mPFC deactivation among HIV- participants and poorer medication management across CB users. CONCLUSIONS These results demonstrate that insufficient error-related DMN suppression linked with HIV infection, as well as chronic CB use among HIV- participants, has real-world consequences for medication management behaviors. We speculate that insufficient DMN suppression may reflect an inability to disengage task irrelevant mental operations, ultimately hindering error monitoring and behavior modification.
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Affiliation(s)
| | | | - Taylor Salo
- Department of Psychology, Florida International University, Miami, FL
| | - Ranjita Poudel
- Department of Psychology, Florida International University, Miami, FL
| | - Angela R. Laird
- Department of Physics, Florida International University, Miami, FL
| | - Raul Gonzalez
- Department of Psychology, Florida International University, Miami, FL
| | - Matthew T. Sutherland
- Department of Psychology, Florida International University, Miami, FL,Correspondence: Matthew T. Sutherland, Ph.D., Florida International University, Department of Psychology, AHC-4, RM 312, 11299 S.W. 8th St, Miami, FL 33199, , 305-348-7962
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14
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Hill-Bowen LD, Riedel MC, Poudel R, Salo T, Flannery JS, Camilleri JA, Eickhoff SB, Laird AR, Sutherland MT. The cue-reactivity paradigm: An ensemble of networks driving attention and cognition when viewing drug and natural reward-related stimuli. Neurosci Biobehav Rev 2021; 130:201-213. [PMID: 34400176 PMCID: PMC8511211 DOI: 10.1016/j.neubiorev.2021.08.010] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 07/02/2021] [Accepted: 08/09/2021] [Indexed: 11/30/2022]
Abstract
The cue-reactivity paradigm is a widely adopted neuroimaging probe engendering brain activity linked with attentional, affective, and reward processes following presentation of appetitive stimuli. Given the multiple mental operations invoked, we sought to decompose cue-related brain activity into constituent components employing emergent meta-analytic techniques when considering drug and natural reward-related cues. We conducted coordinate-based meta-analyses delineating common and distinct brain activity convergence across cue-reactivity studies (N = 196 articles) involving drug (n = 133) or natural (n = 63) visual stimuli. Across all studies, convergence was observed in limbic, cingulate, insula, and fronto-parieto-occipital regions. Drug-distinct convergence was observed in posterior cingulate, dorsolateral prefrontal, and temporo-parietal regions, whereas distinct-natural convergence was observed in thalamic, insular, orbitofrontal, and occipital regions. We characterized connectivity profiles of identified regions by leveraging task-independent and task-dependent MRI datasets, grouped these profiles into subnetworks, and linked each with putative mental operations. Outcomes suggest multifaceted brain activity during cue-reactivity can be decomposed into elemental processes and indicate that while drugs of abuse usurp the brain's natural-reward-processing system, some regions appear distinct to drug cue-reactivity.
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Affiliation(s)
- Lauren D Hill-Bowen
- Department of Psychology, Florida International University, 11200 SW 8(th)Street, Miami, FL, 33199, United States
| | - Michael C Riedel
- Department of Physics, Florida International University, 11200 SW 8(th)Street, Miami, FL, 33199, United States
| | - Ranjita Poudel
- Department of Psychology, Florida International University, 11200 SW 8(th)Street, Miami, FL, 33199, United States
| | - Taylor Salo
- Department of Psychology, Florida International University, 11200 SW 8(th)Street, Miami, FL, 33199, United States
| | - Jessica S Flannery
- Department of Psychology, Florida International University, 11200 SW 8(th)Street, Miami, FL, 33199, United States
| | - Julia A Camilleri
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, 52425, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, 52425, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany
| | - Angela R Laird
- Department of Physics, Florida International University, 11200 SW 8(th)Street, Miami, FL, 33199, United States
| | - Matthew T Sutherland
- Department of Psychology, Florida International University, 11200 SW 8(th)Street, Miami, FL, 33199, United States.
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15
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Chaarani B, Hahn S, Allgaier N, Adise S, Owens MM, Juliano AC, Yuan DK, Loso H, Ivanciu A, Albaugh MD, Dumas J, Mackey S, Laurent J, Ivanova M, Hagler DJ, Cornejo MD, Hatton S, Agrawal A, Aguinaldo L, Ahonen L, Aklin W, Anokhin AP, Arroyo J, Avenevoli S, Babcock D, Bagot K, Baker FC, Banich MT, Barch DM, Bartsch H, Baskin-Sommers A, Bjork JM, Blachman-Demner D, Bloch M, Bogdan R, Bookheimer SY, Breslin F, Brown S, Calabro FJ, Calhoun V, Casey BJ, Chang L, Clark DB, Cloak C, Constable RT, Constable K, Corley R, Cottler LB, Coxe S, Dagher RK, Dale AM, Dapretto M, Delcarmen-Wiggins R, Dick AS, Do EK, Dosenbach NUF, Dowling GJ, Edwards S, Ernst TM, Fair DA, Fan CC, Feczko E, Feldstein-Ewing SW, Florsheim P, Foxe JJ, Freedman EG, Friedman NP, Friedman-Hill S, Fuemmeler BF, Galvan A, Gee DG, Giedd J, Glantz M, Glaser P, Godino J, Gonzalez M, Gonzalez R, Grant S, Gray KM, Haist F, Harms MP, Hawes S, Heath AC, Heeringa S, Heitzeg MM, Hermosillo R, Herting MM, Hettema JM, Hewitt JK, Heyser C, Hoffman E, Howlett K, Huber RS, Huestis MA, Hyde LW, Iacono WG, Infante MA, Irfanoglu O, Isaiah A, Iyengar S, Jacobus J, James R, Jean-Francois B, Jernigan T, Karcher NR, Kaufman A, Kelley B, Kit B, Ksinan A, Kuperman J, Laird AR, Larson C, LeBlanc K, Lessov-Schlagger C, Lever N, Lewis DA, Lisdahl K, Little AR, Lopez M, Luciana M, Luna B, Madden PA, Maes HH, Makowski C, Marshall AT, Mason MJ, Matochik J, McCandliss BD, McGlade E, Montoya I, Morgan G, Morris A, Mulford C, Murray P, Nagel BJ, Neale MC, Neigh G, Nencka A, Noronha A, Nixon SJ, Palmer CE, Pariyadath V, Paulus MP, Pelham WE, Pfefferbaum D, Pierpaoli C, Prescot A, Prouty D, Puttler LI, Rajapaske N, Rapuano KM, Reeves G, Renshaw PF, Riedel MC, Rojas P, de la Rosa M, Rosenberg MD, Ross MJ, Sanchez M, Schirda C, Schloesser D, Schulenberg J, Sher KJ, Sheth C, Shilling PD, Simmons WK, Sowell ER, Speer N, Spittel M, Squeglia LM, Sripada C, Steinberg J, Striley C, Sutherland MT, Tanabe J, Tapert SF, Thompson W, Tomko RL, Uban KA, Vrieze S, Wade NE, Watts R, Weiss S, Wiens BA, Williams OD, Wilbur A, Wing D, Wolff-Hughes D, Yang R, Yurgelun-Todd DA, Zucker RA, Potter A, Garavan HP. Baseline brain function in the preadolescents of the ABCD Study. Nat Neurosci 2021; 24:1176-1186. [PMID: 34099922 PMCID: PMC8947197 DOI: 10.1038/s41593-021-00867-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 04/30/2021] [Indexed: 02/05/2023]
Abstract
The Adolescent Brain Cognitive Development (ABCD) Study® is a 10-year longitudinal study of children recruited at ages 9 and 10. A battery of neuroimaging tasks are administered biennially to track neurodevelopment and identify individual differences in brain function. This study reports activation patterns from functional MRI (fMRI) tasks completed at baseline, which were designed to measure cognitive impulse control with a stop signal task (SST; N = 5,547), reward anticipation and receipt with a monetary incentive delay (MID) task (N = 6,657) and working memory and emotion reactivity with an emotional N-back (EN-back) task (N = 6,009). Further, we report the spatial reproducibility of activation patterns by assessing between-group vertex/voxelwise correlations of blood oxygen level-dependent (BOLD) activation. Analyses reveal robust brain activations that are consistent with the published literature, vary across fMRI tasks/contrasts and slightly correlate with individual behavioral performance on the tasks. These results establish the preadolescent brain function baseline, guide interpretation of cross-sectional analyses and will enable the investigation of longitudinal changes during adolescent development.
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Affiliation(s)
- B Chaarani
- Department of Psychiatry, University of Vermont, Burlington, VT, USA.
| | - S Hahn
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - N Allgaier
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - S Adise
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - M M Owens
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - A C Juliano
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - D K Yuan
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - H Loso
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - A Ivanciu
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - M D Albaugh
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - J Dumas
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - S Mackey
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - J Laurent
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - M Ivanova
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - D J Hagler
- University of California, San Diego, La Jolla, CA, USA
| | - M D Cornejo
- Institute of Physics UC, Pontificia Universidad Catolica de Chile, Pontificia, Chile
| | - S Hatton
- University of California, San Diego, La Jolla, CA, USA
| | - A Agrawal
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - L Aguinaldo
- University of California, San Diego, La Jolla, CA, USA
| | - L Ahonen
- University of Pittsburgh, Pittsburgh, PA, USA
| | - W Aklin
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - A P Anokhin
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - J Arroyo
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - S Avenevoli
- National Institute of Mental Health, Bethesda, MD, USA
| | - D Babcock
- National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - K Bagot
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - F C Baker
- SRI International, Menlo Park, CA, USA
| | - M T Banich
- University of Colorado, Boulder, CO, USA
| | - D M Barch
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - H Bartsch
- Haukeland University Hospital, Bergen, Norway
| | | | - J M Bjork
- Virginia Commonwealth University, Richmond, VA, USA
| | - D Blachman-Demner
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | - M Bloch
- National Cancer Institute, Bethesda, MD, USA
| | - R Bogdan
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | | | - F Breslin
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - S Brown
- University of California, San Diego, La Jolla, CA, USA
| | - F J Calabro
- University of Pittsburgh, Pittsburgh, PA, USA
| | - V Calhoun
- University of Colorado, Boulder, CO, USA
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | | | - L Chang
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - D B Clark
- University of Pittsburgh, Pittsburgh, PA, USA
| | - C Cloak
- University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - K Constable
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - R Corley
- University of Colorado, Boulder, CO, USA
| | | | - S Coxe
- Florida International University, Miami, FL, USA
| | - R K Dagher
- National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
| | - A M Dale
- University of California, San Diego, La Jolla, CA, USA
| | - M Dapretto
- University of California, Los Angeles, CA, USA
| | | | - A S Dick
- Florida International University, Miami, FL, USA
| | - E K Do
- Virginia Commonwealth University, Richmond, VA, USA
| | - N U F Dosenbach
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - G J Dowling
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - S Edwards
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - T M Ernst
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - D A Fair
- Oregon Health & Science University, Portland, OR, USA
| | - C C Fan
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - E Feczko
- Oregon Health & Science University, Portland, OR, USA
| | | | | | - J J Foxe
- University of Rochester, Rochester, NY, USA
| | | | | | | | | | - A Galvan
- University of California, Los Angeles, CA, USA
| | - D G Gee
- Yale University, New Haven, CT, USA
| | - J Giedd
- University of California, San Diego, La Jolla, CA, USA
| | - M Glantz
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - P Glaser
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - J Godino
- University of California, San Diego, La Jolla, CA, USA
| | - M Gonzalez
- Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - R Gonzalez
- Florida International University, Miami, FL, USA
| | - S Grant
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - K M Gray
- Medical University of South Carolina, Charleston, SC, USA
| | - F Haist
- University of California, San Diego, La Jolla, CA, USA
| | - M P Harms
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - S Hawes
- Florida International University, Miami, FL, USA
| | - A C Heath
- University of California, San Diego, La Jolla, CA, USA
| | - S Heeringa
- University of Michigan, Ann Arbor, MI, USA
| | | | - R Hermosillo
- Oregon Health & Science University, Portland, OR, USA
| | - M M Herting
- University of Southern California, Los Angeles, CA, USA
| | - J M Hettema
- Virginia Commonwealth University, Richmond, VA, USA
| | - J K Hewitt
- University of Colorado, Boulder, CO, USA
| | - C Heyser
- University of California, San Diego, La Jolla, CA, USA
| | - E Hoffman
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - K Howlett
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - R S Huber
- University of Utah, Salt Lake City, UT, USA
| | - M A Huestis
- Thomas Jefferson University, Philadelphia, PA, USA
| | - L W Hyde
- University of Michigan, Ann Arbor, MI, USA
| | - W G Iacono
- University of Minnesota, Minneapolis, MN, USA
| | - M A Infante
- University of California, San Diego, La Jolla, CA, USA
| | - O Irfanoglu
- National Institute of Biomedical Imaging and Bioengineering, Bethesda, MD, USA
| | - A Isaiah
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - S Iyengar
- National Endowment for the Arts, Washington DC, USA
| | - J Jacobus
- University of California, San Diego, La Jolla, CA, USA
| | - R James
- Virginia Commonwealth University, Richmond, VA, USA
| | - B Jean-Francois
- National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
| | - T Jernigan
- University of California, San Diego, La Jolla, CA, USA
| | - N R Karcher
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - A Kaufman
- National Cancer Institute, Bethesda, MD, USA
| | - B Kelley
- National Institute of Justice, Washington DC, USA
| | - B Kit
- National Heart, Lung, and Blood Institute, Bethesda, MD, USA
| | - A Ksinan
- Virginia Commonwealth University, Richmond, VA, USA
| | - J Kuperman
- University of California, San Diego, La Jolla, CA, USA
| | - A R Laird
- Florida International University, Miami, FL, USA
| | - C Larson
- University of Wisconsin, Milwaukee, WI, USA
| | - K LeBlanc
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - C Lessov-Schlagger
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - N Lever
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - D A Lewis
- University of Pittsburgh, Pittsburgh, PA, USA
| | - K Lisdahl
- University of Wisconsin, Milwaukee, WI, USA
| | - A R Little
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - M Lopez
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - M Luciana
- University of Minnesota, Minneapolis, MN, USA
| | - B Luna
- University of Pittsburgh, Pittsburgh, PA, USA
| | - P A Madden
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - H H Maes
- Virginia Commonwealth University, Richmond, VA, USA
| | - C Makowski
- University of California, San Diego, La Jolla, CA, USA
| | - A T Marshall
- Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - M J Mason
- University of Tennessee, Knoxville, TN, USA
| | - J Matochik
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | | | - E McGlade
- University of Utah, Salt Lake City, UT, USA
| | - I Montoya
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - G Morgan
- National Cancer Institute, Bethesda, MD, USA
| | - A Morris
- Oklahoma State University, Stillwater, OK, USA
| | - C Mulford
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - P Murray
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - B J Nagel
- Oregon Health & Science University, Portland, OR, USA
| | - M C Neale
- Virginia Commonwealth University, Richmond, VA, USA
| | - G Neigh
- Virginia Commonwealth University, Richmond, VA, USA
| | - A Nencka
- Medical College of Wisconsin, Milwaukee, WI, USA
| | - A Noronha
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - S J Nixon
- University of Florida, Gainesville, FL, USA
| | - C E Palmer
- University of California, San Diego, La Jolla, CA, USA
| | - V Pariyadath
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - M P Paulus
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - W E Pelham
- Florida International University, Miami, FL, USA
| | | | - C Pierpaoli
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA
| | - A Prescot
- University of Utah, Salt Lake City, UT, USA
| | - D Prouty
- SRI International, Menlo Park, CA, USA
| | | | - N Rajapaske
- National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
| | | | - G Reeves
- University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - M C Riedel
- Florida International University, Miami, FL, USA
| | - P Rojas
- Florida International University, Miami, FL, USA
| | - M de la Rosa
- Florida International University, Miami, FL, USA
| | | | - M J Ross
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - M Sanchez
- Florida International University, Miami, FL, USA
| | - C Schirda
- University of Pittsburgh, Pittsburgh, PA, USA
| | - D Schloesser
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | | | - K J Sher
- University of Missouri, Columbia, MO, USA
| | - C Sheth
- University of Utah, Salt Lake City, UT, USA
| | - P D Shilling
- University of California, San Diego, La Jolla, CA, USA
| | - W K Simmons
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - E R Sowell
- Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - N Speer
- University of Colorado, Boulder, CO, USA
| | - M Spittel
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | - L M Squeglia
- Medical University of South Carolina, Charleston, SC, USA
| | - C Sripada
- University of Michigan, Ann Arbor, MI, USA
| | - J Steinberg
- Virginia Commonwealth University, Richmond, VA, USA
| | - C Striley
- University of Florida, Gainesville, FL, USA
| | | | - J Tanabe
- University of Colorado, Boulder, CO, USA
| | - S F Tapert
- University of California, San Diego, La Jolla, CA, USA
| | - W Thompson
- University of California, San Diego, La Jolla, CA, USA
| | - R L Tomko
- Medical University of South Carolina, Charleston, SC, USA
| | - K A Uban
- University of California, Irvine, CA, USA
| | - S Vrieze
- University of Minnesota, Minneapolis, MN, USA
| | - N E Wade
- University of California, San Diego, La Jolla, CA, USA
| | - R Watts
- Yale University, New Haven, CT, USA
| | - S Weiss
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - B A Wiens
- University of Florida, Gainesville, FL, USA
| | - O D Williams
- Florida International University, Miami, FL, USA
| | - A Wilbur
- SRI International, Menlo Park, CA, USA
| | - D Wing
- University of California, San Diego, La Jolla, CA, USA
| | - D Wolff-Hughes
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | - R Yang
- University of California, San Diego, La Jolla, CA, USA
| | | | - R A Zucker
- University of Michigan, Ann Arbor, MI, USA
| | - A Potter
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - H P Garavan
- Department of Psychiatry, University of Vermont, Burlington, VT, USA.
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16
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Hawes SW, Waller R, Byrd AL, Bjork JM, Dick AS, Sutherland MT, Riedel MC, Tobia MJ, Thomson N, Laird AR, Gonzalez R. Reward Processing in Children With Disruptive Behavior Disorders and Callous-Unemotional Traits in the ABCD Study. Am J Psychiatry 2021; 178:333-342. [PMID: 32731811 PMCID: PMC7855017 DOI: 10.1176/appi.ajp.2020.19101092] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Disrupted reward processing is implicated in the etiology of disruptive behavior disorders (DBDs) and callous-unemotional traits. However, neuroimaging investigations of reward processing underlying these phenotypes remain sparse. The authors examined neural sensitivity in response to reward anticipation and receipt among youths with DBDs, with and without callous-unemotional traits. METHODS Data were obtained from the Adolescent Brain and Cognitive Development Study (mean age=9.51 years [SD=0.50]; 49% female). Reward-related activation during the monetary incentive delay task was examined across 16 brain regions, including the amygdala, anterior cingulate cortex (ACC), nucleus accumbens (NAcc), and orbitofrontal cortex (OFC). Latent variable modeling was used to examine network-level coactivation. The following diagnostic groups were compared: typically developing youths (N=693) and youths with DBDs (N=995), subdivided into those with callous-unemotional traits (DBD+CU, N=198) and without callous-unemotional traits (DBD only, N=276). RESULTS During reward anticipation, youths in the overall DBD group (with and without callous-unemotional traits) showed decreased dorsal ACC activation compared with typically developing youths. The DBD-only group exhibited reduced ventral and dorsal striatal activity compared with the DBD+CU and typically developing groups. During reward receipt, youths with DBDs showed increased cortical (e.g., OFC) and subcortical (e.g., NAcc) regional activation compared with typically developing youths. The DBD+CU group demonstrated greater activation in several regions compared with those in the typically developing (e.g., amygdala) and DBD-only (e.g., dorsal ACC) groups. At the network level, the DBD-only group showed reduced anticipatory reward activation compared with the typically developing and DBD+CU groups, whereas youths in the DBD+CU group showed increased activation during reward receipt compared with those in the typically developing group. CONCLUSIONS These findings advance our understanding of unique neuroetiologic pathways to DBDs and callous-unemotional traits.
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17
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Morawetz C, Riedel MC, Salo T, Berboth S, Eickhoff SB, Laird AR, Kohn N. Multiple large-scale neural networks underlying emotion regulation. Neurosci Biobehav Rev 2020; 116:382-395. [PMID: 32659287 DOI: 10.1016/j.neubiorev.2020.07.001] [Citation(s) in RCA: 79] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 06/05/2020] [Accepted: 07/04/2020] [Indexed: 12/28/2022]
Abstract
Recent models suggest emotion generation, perception, and regulation rely on multiple, interacting large-scale brain networks. Despite the wealth of research in this field, the exact functional nature and different topological features of these neural networks remain elusive. Here, we addressed both using a well-established data-driven meta-analytic grouping approach. We applied k-means clustering to a large set of previously published experiments investigating emotion regulation (independent of strategy, goal and stimulus type) to segregate the results of these experiments into large-scale networks. To elucidate the functional nature of these distinct networks, we used functional decoding of metadata terms (i.e. task-level descriptions and behavioral domains). We identified four large-scale brain networks. The first two were related to regulation and functionally characterized by a stronger focus on response inhibition or executive control versus appraisal or language processing. In contrast, the second two networks were primarily related to emotion generation, appraisal, and physiological processes. We discuss how our findings corroborate and inform contemporary models of emotion regulation and thereby significantly add to the literature.
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Affiliation(s)
- Carmen Morawetz
- MR Center of Excellence, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
| | - Michael C Riedel
- Department of Physics, Florida International University, Miami, FL, USA
| | - Taylor Salo
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Stella Berboth
- Department of Education and Psychology, Freie Universität Berlin, 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
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Nils Kohn
- Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmengen, the Netherlands
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18
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Waller R, Hawes SW, Byrd AL, Dick AS, Sutherland MT, Riedel MC, Tobia MJ, Bottenhorn KL, Laird AR, Gonzalez R. Disruptive Behavior Problems, Callous-Unemotional Traits, and Regional Gray Matter Volume in the Adolescent Brain and Cognitive Development Study. Biol Psychiatry Cogn Neurosci Neuroimaging 2020; 5:481-489. [PMID: 32144045 PMCID: PMC7214118 DOI: 10.1016/j.bpsc.2020.01.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 12/05/2019] [Accepted: 01/02/2020] [Indexed: 02/02/2023]
Abstract
BACKGROUND Neurobiological differences linked to socioemotional and cognitive processing are well documented in youths with disruptive behavior disorders (DBDs), especially youths with callous-unemotional (CU) traits. The current study expanded this literature by examining gray matter volume (GMV) differences among youths with DBD with CU traits (DBDCU+), youths with DBD without CU traits (DBD-only), and youths that were typically developing (TD). METHODS Data were from the first full sample release of the Adolescent Brain and Cognitive Development Study (mean age = 9.49 years; 49% female). We tested whether the GMVs of 11 regions of interest selected a priori differentiated between our 3 groups: DBDCU+ (n = 288), DBD-only (n = 362), and TD (n = 915). Models accounted for demographic confounders, attention-deficit/hyperactivity disorder, and intracranial volume. We examined two potential moderators of the relationship between GMVs and group membership: sex and clinically significant anxiety (i.e., primary vs. secondary CU traits subtype). RESULTS Youths in the DBDCU+ group had lower right amygdala GMV, and youths in the DBD-only group had lower bilateral amygdala GMV relative to TD youths. Youths in the DBDCU+ group had lower bilateral hippocampal GMV, and youths in the DBD-only group had lower left hippocampal GMV relative to TD youths. Youths in the DBDCU+ group evidenced lower left insula GMV relative to TD youths. Finally, youths in the DBD-only group had lower left superior frontal gyrus and lower right caudal anterior cingulate cortex GMVs relative to TD youths. There was no moderation of associations between GMV and group membership by sex. CONCLUSIONS Our findings implicate structural aberrations in both the amygdala and hippocampus in the etiology of DBDs, with minimal evidence for differences based on the presence or absence of CU traits.
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Affiliation(s)
- Rebecca Waller
- Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania.
| | - Samuel W Hawes
- Department of Psychology, Florida International University, Miami, Florida
| | - Amy L Byrd
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Anthony S Dick
- Department of Psychology, Florida International University, Miami, Florida
| | | | - Michael C Riedel
- Department of Physics, Florida International University, Miami, Florida
| | - Michael J Tobia
- Department of Physics, Florida International University, Miami, Florida
| | | | - Angela R Laird
- Department of Physics, Florida International University, Miami, Florida
| | - Raul Gonzalez
- Department of Psychology, Florida International University, Miami, Florida
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19
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Bartley JE, Riedel MC, Salo T, Boeving ER, Bottenhorn KL, Bravo EI, Odean R, Nazareth A, Laird RW, Sutherland MT, Pruden SM, Brewe E, Laird AR. Brain activity links performance in science reasoning with conceptual approach. NPJ Sci Learn 2019; 4:20. [PMID: 31814997 PMCID: PMC6889284 DOI: 10.1038/s41539-019-0059-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 10/21/2019] [Indexed: 06/08/2023]
Abstract
Understanding how students learn is crucial for helping them succeed. We examined brain function in 107 undergraduate students during a task known to be challenging for many students-physics problem solving-to characterize the underlying neural mechanisms and determine how these support comprehension and proficiency. Further, we applied module analysis to response distributions, defining groups of students who answered by using similar physics conceptions, and probed for brain differences linked with different conceptual approaches. We found that integrated executive, attentional, visual motion, and default mode brain systems cooperate to achieve sequential and sustained physics-related cognition. While accuracy alone did not predict brain function, dissociable brain patterns were observed when students solved problems by using different physics conceptions, and increased success was linked to conceptual coherence. Our analyses demonstrate that episodic associations and control processes operate in tandem to support physics reasoning, offering potential insight to support student learning.
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Affiliation(s)
| | - Michael C. Riedel
- Department of Physics, Florida International University, Miami, FL USA
| | - Taylor Salo
- Department of Psychology, Florida International University, Miami, FL USA
| | - Emily R. Boeving
- Department of Psychology, Florida International University, Miami, FL USA
| | | | - Elsa I. Bravo
- Department of Psychology, Florida International University, Miami, FL USA
| | - Rosalie Odean
- Department of Psychology, Florida International University, Miami, FL USA
| | - Alina Nazareth
- Department of Psychology, Temple University, Philadelphia, PA USA
| | - Robert W. Laird
- Department of Physics, Florida International University, Miami, FL USA
| | | | - Shannon M. Pruden
- Department of Psychology, Florida International University, Miami, FL USA
| | - Eric Brewe
- Department of Physics, Drexel University, Philadelphia, PA USA
- Department of Education, Drexel University, Philadelphia, PA USA
- Department of Teaching and Learning, Florida International University, Miami, FL USA
| | - Angela R. Laird
- Department of Physics, Florida International University, Miami, FL USA
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20
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Hagler DJ, Hatton SN, Cornejo MD, Makowski C, Fair DA, Dick AS, Sutherland MT, Casey BJ, Barch DM, Harms MP, Watts R, Bjork JM, Garavan HP, Hilmer L, Pung CJ, Sicat CS, Kuperman J, Bartsch H, Xue F, Heitzeg MM, Laird AR, Trinh TT, Gonzalez R, Tapert SF, Riedel MC, Squeglia LM, Hyde LW, Rosenberg MD, Earl EA, Howlett KD, Baker FC, Soules M, Diaz J, de Leon OR, Thompson WK, Neale MC, Herting M, Sowell ER, Alvarez RP, Hawes SW, Sanchez M, Bodurka J, Breslin FJ, Morris AS, Paulus MP, Simmons WK, Polimeni JR, van der Kouwe A, Nencka AS, Gray KM, Pierpaoli C, Matochik JA, Noronha A, Aklin WM, Conway K, Glantz M, Hoffman E, Little R, Lopez M, Pariyadath V, Weiss SRB, Wolff-Hughes DL, DelCarmen-Wiggins R, Ewing SWF, Miranda-Dominguez O, Nagel BJ, Perrone AJ, Sturgeon DT, Goldstone A, Pfefferbaum A, Pohl KM, Prouty D, Uban K, Bookheimer SY, Dapretto M, Galvan A, Bagot K, Giedd J, Infante MA, Jacobus J, Patrick K, Shilling PD, Desikan R, Li Y, Sugrue L, Banich MT, Friedman N, Hewitt JK, Hopfer C, Sakai J, Tanabe J, Cottler LB, Nixon SJ, Chang L, Cloak C, Ernst T, Reeves G, Kennedy DN, Heeringa S, Peltier S, Schulenberg J, Sripada C, Zucker RA, Iacono WG, Luciana M, Calabro FJ, Clark DB, Lewis DA, Luna B, Schirda C, Brima T, Foxe JJ, Freedman EG, Mruzek DW, Mason MJ, Huber R, McGlade E, Prescot A, Renshaw PF, Yurgelun-Todd DA, Allgaier NA, Dumas JA, Ivanova M, Potter A, Florsheim P, Larson C, Lisdahl K, Charness ME, Fuemmeler B, Hettema JM, Maes HH, Steinberg J, Anokhin AP, Glaser P, Heath AC, Madden PA, Baskin-Sommers A, Constable RT, Grant SJ, Dowling GJ, Brown SA, Jernigan TL, Dale AM. Image processing and analysis methods for the Adolescent Brain Cognitive Development Study. Neuroimage 2019; 202:116091. [PMID: 31415884 PMCID: PMC6981278 DOI: 10.1016/j.neuroimage.2019.116091] [Citation(s) in RCA: 414] [Impact Index Per Article: 82.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 08/01/2019] [Accepted: 08/08/2019] [Indexed: 01/29/2023] Open
Abstract
The Adolescent Brain Cognitive Development (ABCD) Study is an ongoing, nationwide study of the effects of environmental influences on behavioral and brain development in adolescents. The main objective of the study is to recruit and assess over eleven thousand 9-10-year-olds and follow them over the course of 10 years to characterize normative brain and cognitive development, the many factors that influence brain development, and the effects of those factors on mental health and other outcomes. The study employs state-of-the-art multimodal brain imaging, cognitive and clinical assessments, bioassays, and careful assessment of substance use, environment, psychopathological symptoms, and social functioning. The data is a resource of unprecedented scale and depth for studying typical and atypical development. The aim of this manuscript is to describe the baseline neuroimaging processing and subject-level analysis methods used by ABCD. Processing and analyses include modality-specific corrections for distortions and motion, brain segmentation and cortical surface reconstruction derived from structural magnetic resonance imaging (sMRI), analysis of brain microstructure using diffusion MRI (dMRI), task-related analysis of functional MRI (fMRI), and functional connectivity analysis of resting-state fMRI. This manuscript serves as a methodological reference for users of publicly shared neuroimaging data from the ABCD Study.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Feng Xue
- University of California, San Diego
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Megan Herting
- University of Southern California & Children’s Hospital Los Angeles
| | | | - Ruben P Alvarez
- Eunice Kennedy Shriver National Institute of Child Health and Human Development
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Yi Li
- University of California, San Francisco
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Michael E Charness
- VA Boston Healthcare System; Harvard Medical School; Boston University School of Medicine
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21
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Gonzalez AA, Bottenhorn KL, Bartley JE, Hayes T, Riedel MC, Salo T, Bravo EI, Odean R, Nazareth A, Laird RW, Sutherland MT, Brewe E, Pruden SM, Laird AR. Sex differences in brain correlates of STEM anxiety. NPJ Sci Learn 2019; 4:18. [PMID: 31700677 PMCID: PMC6825125 DOI: 10.1038/s41539-019-0058-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Accepted: 09/13/2019] [Indexed: 06/10/2023]
Abstract
Anxiety is known to dysregulate the salience, default mode, and central executive networks of the human brain, yet this phenomenon has not been fully explored across the STEM learning experience, where anxiety can impact negatively academic performance. Here, we evaluated anxiety and large-scale brain connectivity in 101 undergraduate physics students. We found sex differences in STEM-related and clinical anxiety, with longitudinal increases in science anxiety observed for both female and male students. Sex-specific relationships between STEM anxiety and brain connectivity emerged, with male students exhibiting distinct inter-network connectivity for STEM and clinical anxiety, and female students demonstrating no significant within-sex correlations. Anxiety was negatively correlated with academic performance in sex-specific ways at both pre- and post-instruction. Moreover, math anxiety in male students mediated the relation between default mode-salience connectivity and course grade. Together, these results reveal complex sex differences in the neural mechanisms driving how anxiety is related to STEM learning.
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Affiliation(s)
- Ariel A. Gonzalez
- Center for Imaging Science, Florida International University, Miami, FL USA
- Department of Psychology, Florida International University, Miami, FL USA
| | - Katherine L. Bottenhorn
- Center for Imaging Science, Florida International University, Miami, FL USA
- Department of Psychology, Florida International University, Miami, FL USA
| | - Jessica E. Bartley
- Center for Imaging Science, Florida International University, Miami, FL USA
- Department of Physics, Florida International University, Miami, FL USA
| | - Timothy Hayes
- Department of Psychology, Florida International University, Miami, FL USA
| | - Michael C. Riedel
- Center for Imaging Science, Florida International University, Miami, FL USA
- Department of Physics, Florida International University, Miami, FL USA
| | - Taylor Salo
- Center for Imaging Science, Florida International University, Miami, FL USA
- Department of Psychology, Florida International University, Miami, FL USA
| | - Elsa I. Bravo
- Department of Psychology, Florida International University, Miami, FL USA
| | - Rosalie Odean
- School of Education, University of Delaware, Newark, DE USA
| | - Alina Nazareth
- Department of Psychology, Temple University, Philadelphia, PA USA
| | - Robert W. Laird
- Center for Imaging Science, Florida International University, Miami, FL USA
- Department of Physics, Florida International University, Miami, FL USA
| | - Matthew T. Sutherland
- Center for Imaging Science, Florida International University, Miami, FL USA
- Department of Psychology, Florida International University, Miami, FL USA
| | - Eric Brewe
- Department of Physics, Drexel University, Philadelphia, PA USA
- Department of Education, Drexel University, Philadelphia, PA USA
- Department of Teaching and Learning, Florida International University, Miami, FL USA
| | - Shannon M. Pruden
- Department of Psychology, Florida International University, Miami, FL USA
| | - Angela R. Laird
- Center for Imaging Science, Florida International University, Miami, FL USA
- Department of Physics, Florida International University, Miami, FL USA
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22
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Flannery JS, Riedel MC, Poudel R, Laird AR, Ross TJ, Salmeron BJ, Stein EA, Sutherland MT. Habenular and striatal activity during performance feedback are differentially linked with state-like and trait-like aspects of tobacco use disorder. Sci Adv 2019; 5:eaax2084. [PMID: 31633021 PMCID: PMC6785263 DOI: 10.1126/sciadv.aax2084] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 09/14/2019] [Indexed: 05/15/2023]
Abstract
The habenula, an epithalamic nucleus involved in reward and aversive processing, may contribute to negative reinforcement mechanisms maintaining nicotine use. We used a performance feedback task that differentially activates the striatum and habenula and administered nicotine and varenicline (versus placebos) to overnight-abstinent smokers and nonsmokers to delineate feedback-related functional brain alterations both as a function of smoking trait (smokers versus nonsmokers) and drug administration state (drug versus placebo). Smokers showed less striatal responsivity to positive feedback, an alteration not mitigated by drug administration, but rather correlated with trait-level addiction severity. Conversely, nicotine administration reduced habenula activity following both positive and negative feedback among abstinent smokers, but not nonsmokers, and increased habenula activity among smokers correlated with elevated state-level tobacco cravings. These outcomes highlight a dissociation between neurobiological processes linked with the dependence severity trait and the nicotine withdrawal state. Interventions simultaneously targeting both aspects may improve currently poor cessation outcomes.
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Affiliation(s)
| | - Michael C. Riedel
- Department of Physics, Florida International University, Miami, FL, USA
| | - Ranjita Poudel
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Angela R. Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Thomas J. Ross
- Neuroimaging Research Branch, National Institute on Drug Abuse–Intramural Research Program, NIH/DHHS, Baltimore, MD, USA
| | - Betty Jo Salmeron
- Neuroimaging Research Branch, National Institute on Drug Abuse–Intramural Research Program, NIH/DHHS, Baltimore, MD, USA
| | - Elliot A. Stein
- Neuroimaging Research Branch, National Institute on Drug Abuse–Intramural Research Program, NIH/DHHS, Baltimore, MD, USA
| | - Matthew T. Sutherland
- Department of Psychology, Florida International University, Miami, FL, USA
- Corresponding author.
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23
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Dick AS, Garcia NL, Pruden SM, Thompson WK, Hawes SW, Sutherland MT, Riedel MC, Laird AR, Gonzalez R. Author Correction: No evidence for a bilingual executive function advantage in the ABCD study. Nat Hum Behav 2019; 3:1124. [PMID: 31554938 DOI: 10.1038/s41562-019-0756-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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24
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Dick AS, Garcia NL, Pruden SM, Thompson WK, Hawes SW, Sutherland MT, Riedel MC, Laird AR, Gonzalez R. No evidence for a bilingual executive function advantage in the nationally representative ABCD study. Nat Hum Behav 2019; 3:692-701. [PMID: 31110341 PMCID: PMC7156280 DOI: 10.1038/s41562-019-0609-3] [Citation(s) in RCA: 81] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 04/12/2019] [Indexed: 11/08/2022]
Abstract
Learning a second language in childhood is inherently advantageous for communication. However, parents, educators and scientists have been interested in determining whether there are additional cognitive advantages. One of the most exciting yet controversial1 findings about bilinguals is a reported advantage for executive function. That is, several studies suggest that bilinguals perform better than monolinguals on tasks assessing cognitive abilities that are central to the voluntary control of thoughts and behaviours-the so-called 'executive functions' (for example, attention, inhibitory control, task switching and resolving conflict). Although a number of small-2-4 and large-sample5,6 studies have reported a bilingual executive function advantage (see refs. 7-9 for a review), there have been several failures to replicate these findings10-15, and recent meta-analyses have called into question the reliability of the original empirical claims8,9. Here we show, in a very large, demographically representative sample (n = 4,524) of 9- to 10-year-olds across the United States, that there is little evidence for a bilingual advantage for inhibitory control, attention and task switching, or cognitive flexibility, which are key aspects of executive function. We also replicate previously reported disadvantages in English vocabulary in bilinguals7,16,17. However, these English vocabulary differences are substantially mitigated when we account for individual differences in socioeconomic status or intelligence. In summary, notwithstanding the inherently positive benefits of learning a second language in childhood18, we found little evidence that it engenders additional benefits to executive function development.
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Riedel MC, Salo T, Hays J, Turner MD, Sutherland MT, Turner JA, Laird AR. Automated, Efficient, and Accelerated Knowledge Modeling of the Cognitive Neuroimaging Literature Using the ATHENA Toolkit. Front Neurosci 2019; 13:494. [PMID: 31156374 PMCID: PMC6530419 DOI: 10.3389/fnins.2019.00494] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 04/29/2019] [Indexed: 11/13/2022] Open
Abstract
Neuroimaging research is growing rapidly, providing expansive resources for synthesizing data. However, navigating these dense resources is complicated by the volume of research articles and variety of experimental designs implemented across studies. The advent of machine learning algorithms and text-mining techniques has advanced automated labeling of published articles in biomedical research to alleviate such obstacles. As of yet, a comprehensive examination of document features and classifier techniques for annotating neuroimaging articles has yet to be undertaken. Here, we evaluated which combination of corpus (abstract-only or full-article text), features (bag-of-words or Cognitive Atlas terms), and classifier (Bernoulli naïve Bayes, k-nearest neighbors, logistic regression, or support vector classifier) resulted in the highest predictive performance in annotating a selection of 2,633 manually annotated neuroimaging articles. We found that, when utilizing full article text, data-driven features derived from the text performed the best, whereas if article abstracts were used for annotation, features derived from the Cognitive Atlas performed better. Additionally, we observed that when features were derived from article text, anatomical terms appeared to be the most frequently utilized for classification purposes and that cognitive concepts can be identified based on similar representations of these anatomical terms. Optimizing parameters for the automated classification of neuroimaging articles may result in a larger proportion of the neuroimaging literature being annotated with labels supporting the meta-analysis of psychological constructs.
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Affiliation(s)
- Michael C. Riedel
- Department of Physics, Florida International University, Miami, FL, United States
| | - Taylor Salo
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Jason Hays
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Matthew D. Turner
- Psychology and Neuroscience, Georgia State University, Atlanta, GA, United States
| | - Matthew T. Sutherland
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Jessica A. Turner
- Psychology and Neuroscience, Georgia State University, Atlanta, GA, United States
| | - Angela R. Laird
- Department of Physics, Florida International University, Miami, FL, United States
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26
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Bottenhorn KL, Flannery JS, Boeving ER, Riedel MC, Eickhoff SB, Sutherland MT, Laird AR. Cooperating yet distinct brain networks engaged during naturalistic paradigms: A meta-analysis of functional MRI results. Netw Neurosci 2018; 3:27-48. [PMID: 30793072 PMCID: PMC6326731 DOI: 10.1162/netn_a_00050] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Accepted: 03/02/2018] [Indexed: 11/04/2022] Open
Abstract
Cognitive processes do not occur by pure insertion and instead depend on the full complement of co-occurring mental processes, including perceptual and motor functions. As such, there is limited ecological validity to human neuroimaging experiments that use highly controlled tasks to isolate mental processes of interest. However, a growing literature shows how dynamic, interactive tasks have allowed researchers to study cognition as it more naturally occurs. Collective analysis across such neuroimaging experiments may answer broader questions regarding how naturalistic cognition is biologically distributed throughout the brain. We applied an unbiased, data-driven, meta-analytic approach that uses k-means clustering to identify core brain networks engaged across the naturalistic functional neuroimaging literature. Functional decoding allowed us to, then, delineate how information is distributed between these networks throughout the execution of dynamical cognition in realistic settings. This analysis revealed six recurrent patterns of brain activation, representing sensory, domain-specific, and attentional neural networks that support the cognitive demands of naturalistic paradigms. Although gaps in the literature remain, these results suggest that naturalistic fMRI paradigms recruit a common set of networks that allow both separate processing of different streams of information and integration of relevant information to enable flexible cognition and complex behavior.
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Affiliation(s)
| | | | - Emily R. Boeving
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Michael C. Riedel
- Department of Physics, Florida International University, Miami, FL, USA
| | - 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
| | | | - Angela R. Laird
- Department of Physics, Florida International University, Miami, FL, USA
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27
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Bartley JE, Boeving ER, Riedel MC, Bottenhorn KL, Salo T, Eickhoff SB, Brewe E, Sutherland MT, Laird AR. Meta-analytic evidence for a core problem solving network across multiple representational domains. Neurosci Biobehav Rev 2018; 92:318-337. [PMID: 29944961 PMCID: PMC6425494 DOI: 10.1016/j.neubiorev.2018.06.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 06/11/2018] [Accepted: 06/11/2018] [Indexed: 12/21/2022]
Abstract
Problem solving is a complex skill engaging multi-stepped reasoning processes to find unknown solutions. The breadth of real-world contexts requiring problem solving is mirrored by a similarly broad, yet unfocused neuroimaging literature, and the domain-general or context-specific brain networks associated with problem solving are not well understood. To more fully characterize those brain networks, we performed activation likelihood estimation meta-analysis on 280 neuroimaging problem solving experiments reporting 3166 foci from 1919 individuals across 131 papers. The general map of problem solving revealed broad fronto-cingulo-parietal convergence, regions similarly identified when considering separate mathematical, verbal, and visuospatial problem solving domain-specific analyses. Conjunction analysis revealed a common network supporting problem solving across diverse contexts, and difference maps distinguished functionally-selective sub-networks specific to task type. Our results suggest cooperation between representationally specialized sub-network and whole-brain systems provide a neural basis for problem solving, with the core network contributing general purpose resources to perform cognitive operations and manage problem demand. Further characterization of cross-network dynamics could inform neuroeducational studies on problem solving skill development.
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Affiliation(s)
- Jessica E Bartley
- Department of Physics, Florida International University, Miami, FL, USA
| | - Emily R Boeving
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Michael C Riedel
- Department of Physics, Florida International University, Miami, FL, USA
| | | | - Taylor Salo
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Simon B Eickhoff
- Institute for Systems Neuroscience, Medical Faculty, Heinrich Heine University Dusseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Center Jülich, Jülich, Germany
| | - Eric Brewe
- Department of Teaching and Learning, Florida International University, Miami, FL, USA; Department of Physics, Drexel University, Philadelphia, PA, USA; Department of Education, Drexel University, Philadelphia, PA, USA
| | | | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA.
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28
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Brewe E, Bartley JE, Riedel MC, Sawtelle V, Salo T, Boeving ER, Bravo EI, Odean R, Nazareth A, Bottenhorn KL, Laird RW, Sutherland MT, Pruden SM, Laird AR. Toward a Neurobiological Basis for Understanding Learning in University Modeling Instruction Physics Courses. ACTA ACUST UNITED AC 2018; 5. [PMID: 31106219 DOI: 10.3389/fict.2018.00010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Modeling Instruction (MI) for University Physics is a curricular and pedagogical approach to active learning in introductory physics. A basic tenet of science is that it is a model-driven endeavor that involves building models, then validating, deploying, and ultimately revising them in an iterative fashion. MI was developed to provide students a facsimile in the university classroom of this foundational scientific practice. As a curriculum, MI employs conceptual scientific models as the basis for the course content, and thus learning in a MI classroom involves students appropriating scientific models for their own use. Over the last 10 years, substantial evidence has accumulated supporting MI's efficacy, including gains in conceptual understanding, odds of success, attitudes toward learning, self-efficacy, and social networks centered around physics learning. However, we still do not fully understand the mechanisms of how students learn physics and develop mental models of physical phenomena. Herein, we explore the hypothesis that the MI curriculum and pedagogy promotes student engagement via conceptual model building. This emphasis on conceptual model building, in turn, leads to improved knowledge organization and problem solving abilities that manifest as quantifiable functional brain changes that can be assessed with functional magnetic resonance imaging (fMRI). We conducted a neuroeducation study wherein students completed a physics reasoning task while undergoing fMRI scanning before (pre) and after (post) completing a MI introductory physics course. Preliminary results indicated that performance of the physics reasoning task was linked with increased brain activity notably in lateral prefrontal and parietal cortices that previously have been associated with attention, working memory, and problem solving, and are collectively referred to as the central executive network. Critically, assessment of changes in brain activity during the physics reasoning task from pre- vs. post-instruction identified increased activity after the course notably in the posterior cingulate cortex (a brain region previously linked with episodic memory and self-referential thought) and in the frontal poles (regions linked with learning). These preliminary outcomes highlight brain regions linked with physics reasoning and, critically, suggest that brain activity during physics reasoning is modifiable by thoughtfully designed curriculum and pedagogy.
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Affiliation(s)
- Eric Brewe
- Department of Physics, School of Education, Drexel University, Philadelphia, PA, United States
| | - Jessica E Bartley
- Department of Physics, Florida International University, Miami, FL, United States
| | - Michael C Riedel
- Department of Physics, Florida International University, Miami, FL, United States
| | - Vashti Sawtelle
- Lyman Briggs College, Department of Physics and Astronomy, Michigan State University, Lansing, MI, United States
| | - Taylor Salo
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Emily R Boeving
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Elsa I Bravo
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Rosalie Odean
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Alina Nazareth
- Department of Psychology, Temple University, Philadelphia, PA, United States
| | | | - Robert W Laird
- Department of Physics, Florida International University, Miami, FL, United States
| | - Matthew T Sutherland
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Shannon M Pruden
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, United States
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29
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Casey BJ, Cannonier T, Conley MI, Cohen AO, Barch DM, Heitzeg MM, Soules ME, Teslovich T, Dellarco DV, Garavan H, Orr CA, Wager TD, Banich MT, Speer NK, Sutherland MT, Riedel MC, Dick AS, Bjork JM, Thomas KM, Chaarani B, Mejia MH, Hagler DJ, Daniela Cornejo M, Sicat CS, Harms MP, Dosenbach NUF, Rosenberg M, Earl E, Bartsch H, Watts R, Polimeni JR, Kuperman JM, Fair DA, Dale AM. The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites. Dev Cogn Neurosci 2018; 32:43-54. [PMID: 29567376 PMCID: PMC5999559 DOI: 10.1016/j.dcn.2018.03.001] [Citation(s) in RCA: 903] [Impact Index Per Article: 150.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Revised: 01/29/2018] [Accepted: 03/02/2018] [Indexed: 11/29/2022] Open
Abstract
The ABCD study is recruiting and following the brain development and health of over 10,000 9–10 year olds through adolescence. The imaging component of the study was developed by the ABCD Data Analysis and Informatics Center (DAIC) and the ABCD Imaging Acquisition Workgroup. Imaging methods and assessments were selected, optimized and harmonized across all 21 sites to measure brain structure and function relevant to adolescent development and addiction. This article provides an overview of the imaging procedures of the ABCD study, the basis for their selection and preliminary quality assurance and results that provide evidence for the feasibility and age-appropriateness of procedures and generalizability of findings to the existent literature.
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Affiliation(s)
- B J Casey
- Department of Psychology, Yale University, United States; Sackler Institute for Developmental Psycholobiology, Weill Cornell Medical College, United States.
| | | | - May I Conley
- Department of Psychology, Yale University, United States; Sackler Institute for Developmental Psycholobiology, Weill Cornell Medical College, United States
| | - Alexandra O Cohen
- Sackler Institute for Developmental Psycholobiology, Weill Cornell Medical College, United States
| | - Deanna M Barch
- Departments of Psychological & Brain Sciences and Psychiatry, Washington University, St. Louis, United States
| | - Mary M Heitzeg
- Department of Psychiatry, University of Michigan, United States
| | - Mary E Soules
- Department of Psychiatry, University of Michigan, United States
| | - Theresa Teslovich
- Sackler Institute for Developmental Psycholobiology, Weill Cornell Medical College, United States
| | - Danielle V Dellarco
- Sackler Institute for Developmental Psycholobiology, Weill Cornell Medical College, United States
| | - Hugh Garavan
- Departments of Psychiatry and Radiology, University of Vermont, United States
| | - Catherine A Orr
- Departments of Psychiatry and Radiology, University of Vermont, United States
| | - Tor D Wager
- Department of Psychology & Neuroscience, University of Colorado, Boulder, United States
| | - Marie T Banich
- Department of Psychology & Neuroscience, University of Colorado, Boulder, United States
| | - Nicole K Speer
- Department of Psychology & Neuroscience, University of Colorado, Boulder, United States
| | - Matthew T Sutherland
- Departments of Physics and Psychology, Florida International University, United States
| | - Michael C Riedel
- Departments of Physics and Psychology, Florida International University, United States
| | - Anthony S Dick
- Departments of Physics and Psychology, Florida International University, United States
| | - James M Bjork
- Department of Psychiatry, Virginia Commonwealth University, United States
| | - Kathleen M Thomas
- Institute of Child Development, University of Minnesota, United States
| | - Bader Chaarani
- Departments of Psychiatry and Radiology, University of Vermont, United States
| | - Margie H Mejia
- Center for Human Development, Departments of Neuroscience and Radiology, University of California, San Diego, United States
| | - Donald J Hagler
- Center for Human Development, Departments of Neuroscience and Radiology, University of California, San Diego, United States
| | - M Daniela Cornejo
- Center for Human Development, Departments of Neuroscience and Radiology, University of California, San Diego, United States
| | - Chelsea S Sicat
- Center for Human Development, Departments of Neuroscience and Radiology, University of California, San Diego, United States
| | - Michael P Harms
- Department of Psychiatry, Washington University, St. Louis, United States
| | - Nico U F Dosenbach
- Department of Pediatric Neurology, Washington University, St. Louis, United States
| | | | - Eric Earl
- Behavioral Neuroscience and Psychiatry, Oregon Health State University, United States
| | - Hauke Bartsch
- Center for Human Development, Departments of Neuroscience and Radiology, University of California, San Diego, United States
| | - Richard Watts
- Departments of Psychiatry and Radiology, University of Vermont, United States
| | - Jonathan R Polimeni
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, United States
| | - Joshua M Kuperman
- Center for Human Development, Departments of Neuroscience and Radiology, University of California, San Diego, United States
| | - Damien A Fair
- Behavioral Neuroscience and Psychiatry, Oregon Health State University, United States
| | - Anders M Dale
- Center for Human Development, Departments of Neuroscience and Radiology, University of California, San Diego, United States
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30
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Yanes JA, Riedel MC, Ray KL, Kirkland AE, Bird RT, Boeving ER, Reid MA, Gonzalez R, Robinson JL, Laird AR, Sutherland MT. Neuroimaging meta-analysis of cannabis use studies reveals convergent functional alterations in brain regions supporting cognitive control and reward processing. J Psychopharmacol 2018; 32:283-295. [PMID: 29338547 PMCID: PMC5858977 DOI: 10.1177/0269881117744995] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Lagging behind rapid changes to state laws, societal views, and medical practice is the scientific investigation of cannabis's impact on the human brain. While several brain imaging studies have contributed important insight into neurobiological alterations linked with cannabis use, our understanding remains limited. Here, we sought to delineate those brain regions that consistently demonstrate functional alterations among cannabis users versus non-users across neuroimaging studies using the activation likelihood estimation meta-analysis framework. In ancillary analyses, we characterized task-related brain networks that co-activate with cannabis-affected regions using data archived in a large neuroimaging repository, and then determined which psychological processes may be disrupted via functional decoding techniques. When considering convergent alterations among users, decreased activation was observed in the anterior cingulate cortex, which co-activated with frontal, parietal, and limbic areas and was linked with cognitive control processes. Similarly, decreased activation was observed in the dorsolateral prefrontal cortex, which co-activated with frontal and occipital areas and linked with attention-related processes. Conversely, increased activation among users was observed in the striatum, which co-activated with frontal, parietal, and other limbic areas and linked with reward processing. These meta-analytic outcomes indicate that cannabis use is linked with differential, region-specific effects across the brain.
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Affiliation(s)
- Julio A Yanes
- Department of Psychology, Auburn University, Auburn, AL, USA,Auburn University Magnetic Resonance Imaging Research Center, Auburn University, Auburn, AL, USA,Advanced Alabama Imaging Consortium, Alabama, USA
| | - Michael C Riedel
- Center for Imaging Science, Florida International University, Miami, FL, USA
| | - Kimberly L Ray
- Imaging Research Center, University of California Davis, Sacramento, CA, USA
| | - Anna E Kirkland
- Department of Psychology, Auburn University, Auburn, AL, USA,Auburn University Magnetic Resonance Imaging Research Center, Auburn University, Auburn, AL, USA,Advanced Alabama Imaging Consortium, Alabama, USA
| | - Ryan T Bird
- Department of Psychology, Auburn University, Auburn, AL, USA,Auburn University Magnetic Resonance Imaging Research Center, Auburn University, Auburn, AL, USA,Advanced Alabama Imaging Consortium, Alabama, USA
| | - Emily R Boeving
- Center for Imaging Science, Florida International University, Miami, FL, USA,Department of Psychology, Florida International University, Miami, FL, USA
| | - Meredith A Reid
- Auburn University Magnetic Resonance Imaging Research Center, Auburn University, Auburn, AL, USA,Advanced Alabama Imaging Consortium, Alabama, USA
| | - Raul Gonzalez
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Jennifer L Robinson
- Department of Psychology, Auburn University, Auburn, AL, USA,Auburn University Magnetic Resonance Imaging Research Center, Auburn University, Auburn, AL, USA,Advanced Alabama Imaging Consortium, Alabama, USA
| | - Angela R Laird
- Center for Imaging Science, Florida International University, Miami, FL, USA,Department of Physics, Florida International University, Miami, FL, USA
| | - Matthew T Sutherland
- Center for Imaging Science, Florida International University, Miami, FL, USA,Department of Psychology, Florida International University, Miami, FL, USA
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31
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Riedel MC, Yanes JA, Ray KL, Eickhoff SB, Fox PT, Sutherland MT, Laird AR. Dissociable meta-analytic brain networks contribute to coordinated emotional processing. Hum Brain Mapp 2018; 39:2514-2531. [PMID: 29484767 DOI: 10.1002/hbm.24018] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2017] [Revised: 02/09/2018] [Accepted: 02/15/2018] [Indexed: 01/05/2023] Open
Abstract
Meta-analytic techniques for mining the neuroimaging literature continue to exert an impact on our conceptualization of functional brain networks contributing to human emotion and cognition. Traditional theories regarding the neurobiological substrates contributing to affective processing are shifting from regional- towards more network-based heuristic frameworks. To elucidate differential brain network involvement linked to distinct aspects of emotion processing, we applied an emergent meta-analytic clustering approach to the extensive body of affective neuroimaging results archived in the BrainMap database. Specifically, we performed hierarchical clustering on the modeled activation maps from 1,747 experiments in the affective processing domain, resulting in five meta-analytic groupings of experiments demonstrating whole-brain recruitment. Behavioral inference analyses conducted for each of these groupings suggested dissociable networks supporting: (1) visual perception within primary and associative visual cortices, (2) auditory perception within primary auditory cortices, (3) attention to emotionally salient information within insular, anterior cingulate, and subcortical regions, (4) appraisal and prediction of emotional events within medial prefrontal and posterior cingulate cortices, and (5) induction of emotional responses within amygdala and fusiform gyri. These meta-analytic outcomes are consistent with a contemporary psychological model of affective processing in which emotionally salient information from perceived stimuli are integrated with previous experiences to engender a subjective affective response. This study highlights the utility of using emergent meta-analytic methods to inform and extend psychological theories and suggests that emotions are manifest as the eventual consequence of interactions between large-scale brain networks.
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Affiliation(s)
- Michael C Riedel
- Department of Physics, Florida International University, Miami, Florida
| | - Julio A Yanes
- Department of Psychology, Auburn University, Auburn, Alabama
| | - Kimberly L Ray
- Department of Psychology, University of Texas, Austin, Texas
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, Texas.,South Texas Veterans Health Care System, San Antonio, Texas.,State Key Laboratory for Brain and Cognitive Sciences, University of Hong Kong, Hong Kong, China
| | | | - Angela R Laird
- Department of Physics, Florida International University, Miami, Florida
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32
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Laird AR, Riedel MC, Okoe M, Jianu R, Ray KL, Eickhoff SB, Smith SM, Fox PT, Sutherland MT. Heterogeneous fractionation profiles of meta-analytic coactivation networks. Neuroimage 2017; 149:424-435. [PMID: 28222386 PMCID: PMC5408583 DOI: 10.1016/j.neuroimage.2016.12.037] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Revised: 12/01/2016] [Accepted: 12/14/2016] [Indexed: 11/22/2022] Open
Abstract
Computational cognitive neuroimaging approaches can be leveraged to characterize the hierarchical organization of distributed, functionally specialized networks in the human brain. To this end, we performed large-scale mining across the BrainMap database of coordinate-based activation locations from over 10,000 task-based experiments. Meta-analytic coactivation networks were identified by jointly applying independent component analysis (ICA) and meta-analytic connectivity modeling (MACM) across a wide range of model orders (i.e., d=20-300). We then iteratively computed pairwise correlation coefficients for consecutive model orders to compare spatial network topologies, ultimately yielding fractionation profiles delineating how "parent" functional brain systems decompose into constituent "child" sub-networks. Fractionation profiles differed dramatically across canonical networks: some exhibited complex and extensive fractionation into a large number of sub-networks across the full range of model orders, whereas others exhibited little to no decomposition as model order increased. Hierarchical clustering was applied to evaluate this heterogeneity, yielding three distinct groups of network fractionation profiles: high, moderate, and low fractionation. BrainMap-based functional decoding of resultant coactivation networks revealed a multi-domain association regardless of fractionation complexity. Rather than emphasize a cognitive-motor-perceptual gradient, these outcomes suggest the importance of inter-lobar connectivity in functional brain organization. We conclude that high fractionation networks are complex and comprised of many constituent sub-networks reflecting long-range, inter-lobar connectivity, particularly in fronto-parietal regions. In contrast, low fractionation networks may reflect persistent and stable networks that are more internally coherent and exhibit reduced inter-lobar communication.
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Affiliation(s)
- Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA.
| | - Michael C Riedel
- Department of Physics, Florida International University, Miami, FL, USA
| | - Mershack Okoe
- School of Computing and Information Sciences, Florida International University, Miami, FL, USA
| | - Radu Jianu
- School of Computing and Information Sciences, Florida International University, Miami, FL, USA
| | - Kimberly L Ray
- Research Imaging Center, University of California Davis, Sacramento, CA, USA
| | - Simon B Eickhoff
- Institute of Clinical Neuroscience and Medical Psychology, Heinrich-Heine University, Düsseldorf, Germany; Institute of Neuroscience and Medicine, Research Center Jülich, Jülich, Germany
| | - Stephen M Smith
- Oxford Centre for Functional MRI of the Brain, University of Oxford, Oxford, UK
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA; Research Service, South Texas Veterans Administration Medical Center, San Antonio, TX, USA; State Key Laboratory for Brain and Cognitive Sciences, University of Hong Kong, Hong Kong
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33
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Sutherland MT, Riedel MC, Flannery JS, Yanes JA, Fox PT, Stein EA, Laird AR. Chronic cigarette smoking is linked with structural alterations in brain regions showing acute nicotinic drug-induced functional modulations. Behav Brain Funct 2016; 12:16. [PMID: 27251183 PMCID: PMC4890474 DOI: 10.1186/s12993-016-0100-5] [Citation(s) in RCA: 76] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Accepted: 05/14/2016] [Indexed: 12/21/2022] Open
Abstract
Background Whereas acute nicotine administration alters brain function which may, in turn, contribute to enhanced attention and performance, chronic cigarette smoking is linked with regional brain atrophy and poorer cognition. However, results from structural magnetic resonance imaging (MRI) studies comparing smokers versus nonsmokers have been inconsistent and measures of gray matter possess limited ability to inform functional relations or behavioral implications. The purpose of this study was to address these interpretational challenges through meta-analytic techniques in the service of clarifying the impact of chronic smoking on gray matter integrity and more fully contextualizing such structural alterations. Methods We first conducted a coordinate-based meta-analysis of structural MRI studies to identify consistent structural alterations associated with chronic smoking. Subsequently, we conducted two additional meta-analytic assessments to enhance insight into potential functional and behavioral relations. Specifically, we performed a multimodal meta-analytic assessment to test the structural–functional hypothesis that smoking-related structural alterations overlapped those same regions showing acute nicotinic drug-induced functional modulations. Finally, we employed database driven tools to identify pairs of structurally impacted regions that were also functionally related via meta-analytic connectivity modeling, and then delineated behavioral phenomena associated with such functional interactions via behavioral decoding. Results Across studies, smoking was associated with convergent structural decreases in the left insula, right cerebellum, parahippocampus, multiple prefrontal cortex (PFC) regions, and the thalamus. Indicating a structural–functional relation, we observed that smoking-related gray matter decreases overlapped with the acute functional effects of nicotinic agonist administration in the left insula, ventromedial PFC, and mediodorsal thalamus. Suggesting structural-behavioral implications, we observed that the left insula’s task-based, functional interactions with multiple other structurally impacted regions were linked with pain perception, the right cerebellum’s interactions with other regions were associated with overt body movements, interactions between the parahippocampus and thalamus were linked with memory processes, and interactions between medial PFC regions were associated with face processing. Conclusions Collectively, these findings emphasize brain regions (e.g., ventromedial PFC, insula, thalamus) critically linked with cigarette smoking, suggest neuroimaging paradigms warranting additional consideration among smokers (e.g., pain processing), and highlight regions in need of further elucidation in addiction (e.g., cerebellum). Electronic supplementary material The online version of this article (doi:10.1186/s12993-016-0100-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Matthew T Sutherland
- Department of Psychology, Florida International University, AHC-4, RM 312, 11200 S.W. 8th St, Miami, FL, 33199, USA.
| | - Michael C Riedel
- Department of Psychology, Florida International University, AHC-4, RM 312, 11200 S.W. 8th St, Miami, FL, 33199, USA.,Department of Physics, Florida International University, Miami, FL, USA
| | - Jessica S Flannery
- Department of Psychology, Florida International University, AHC-4, RM 312, 11200 S.W. 8th St, Miami, FL, 33199, USA
| | - Julio A Yanes
- Department of Psychology, Auburn University, Auburn, AL, USA
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA.,South Texas Veterans Health Care System, San Antonio, TX, USA.,State Key Laboratory for Brain and Cognitive Sciences, University of Hong Kong, Hong Kong, China
| | - Elliot A Stein
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, NIH/DHHS, Baltimore, MD, USA
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA
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Sutherland MT, Ray KL, Riedel MC, Yanes JA, Stein EA, Laird AR. Neurobiological impact of nicotinic acetylcholine receptor agonists: an activation likelihood estimation meta-analysis of pharmacologic neuroimaging studies. Biol Psychiatry 2015; 78:711-20. [PMID: 25662104 PMCID: PMC4494985 DOI: 10.1016/j.biopsych.2014.12.021] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2014] [Revised: 12/03/2014] [Accepted: 12/12/2014] [Indexed: 12/13/2022]
Abstract
BACKGROUND Nicotinic acetylcholine receptor (nAChR) agonists augment cognition among cigarette smokers and nonsmokers, yet the systems-level neurobiological mechanisms underlying such improvements are not fully understood. Aggregating neuroimaging results regarding nAChR agonists provides a means to identify common functional brain changes that may be related to procognitive drug effects. METHODS We conducted a meta-analysis of pharmacologic neuroimaging studies within the activation likelihood estimation framework. We identified published studies contrasting a nAChR drug condition versus a baseline and coded each contrast by activity change direction (decrease or increase), participant characteristics (smokers or nonsmokers), and drug manipulation employed (pharmacologic administration or cigarette smoking). RESULTS When considering all studies, nAChR agonist administration was associated with activity decreases in multiple regions, including the ventromedial prefrontal cortex (vmPFC), posterior cingulate cortex (PCC), parahippocampus, insula, and the parietal and precentral cortices. Conversely, activity increases were observed in lateral frontoparietal cortices, the anterior cingulate cortex, thalamus, and cuneus. Exploratory analyses indicated that both smokers and nonsmokers showed activity decreases in the vmPFC and PCC, and increases in lateral frontoparietal regions. Among smokers, both pharmacologic administration and cigarette smoking were associated with activity decreases in the vmPFC, PCC, and insula and increases in the lateral PFC, dorsal anterior cingulate cortex, thalamus, and cuneus. CONCLUSIONS These results provide support for the systems-level perspective that nAChR agonists suppress activity in default-mode network regions and enhance activity in executive control network regions in addition to reducing activation of some task-related regions. We speculate these are potential mechanisms by which nAChR agonists enhance cognition.
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Affiliation(s)
- Matthew T. Sutherland
- Department of Psychology, Florida International University, Miami, FL,Correspondence: Matthew T. Sutherland, Ph.D. Florida International University Department of Psychology AHC-4, RM 312 11299 S.W. 8th St Miami, FL 33199
| | - Kimberly L. Ray
- Department of Psychiatry, University of California, Davis, Sacramento, CA
| | - Michael C. Riedel
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX
| | - Julio A. Yanes
- Department of Physics, Florida International University, Miami, FL
| | - Elliot A. Stein
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, NIH/DHHS, Baltimore, MD
| | - Angela R. Laird
- Department of Physics, Florida International University, Miami, FL
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Riedel MC, Ray KL, Dick AS, Sutherland MT, Hernandez Z, Fox PM, Eickhoff SB, Fox PT, Laird AR. Meta-analytic connectivity and behavioral parcellation of the human cerebellum. Neuroimage 2015; 117:327-42. [PMID: 25998956 PMCID: PMC4512917 DOI: 10.1016/j.neuroimage.2015.05.008] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2014] [Revised: 04/14/2015] [Accepted: 05/05/2015] [Indexed: 01/07/2023] Open
Abstract
The cerebellum historically has been thought to mediate motor and sensory signals between the body and cerebral cortex, yet cerebellar lesions are also associated with altered cognitive behavioral performance. Neuroimaging evidence indicates that the cerebellum contributes to a wide range of cognitive, perceptual, and motor functions. Here, we used the BrainMap database to investigate whole-brainco-activation patterns between cerebellar structures and regions of the cerebral cortex, as well as associations with behavioral tasks. Hierarchical clustering was performed to meta-analytically identify cerebellar structures with similar cortical co-activation, and independently, with similar correlations to specific behavioral tasks. Strong correspondences were observed in these separate but parallel analyses of meta-analytic connectivity and behavioral metadata. We recovered differential zones of cerebellar co-activation that are reflected across the literature. Furthermore, the behaviors and tasks associated with the different cerebellar zones provide insight into the specialized function of the cerebellum, relating to high-order cognition, emotion, perception, interoception, and action. Taken together, these task-basedmeta-analytic results implicate distinct zones of the cerebellum as critically involved in the monitoring and mediation of psychological responses to internal and external stimuli.
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Affiliation(s)
- Michael C Riedel
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA
| | - Kimberly L Ray
- Imaging Research Center, University of California Davis, Sacramento, CA, USA
| | - Anthony S Dick
- Department of Psychology, Florida International University, Miami, FL, USA
| | | | - Zachary Hernandez
- Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA
| | - P Mickle Fox
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; Institute for Clinical Neuroscience and Medical Psychology, Heinrich-Heine University, Dusseldorf, Germany
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA; South Texas Veterans Health Care System, San Antonio, TX, USA; State Key Laboratory for Brain and Cognitive Sciences, University of Hong Kong, Hong Kong, China
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA.
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Ray KL, Zald DH, Bludau S, Riedel MC, Bzdok D, Yanes J, Falcone KE, Amunts K, Fox PT, Eickhoff SB, Laird AR. Co-activation based parcellation of the human frontal pole. Neuroimage 2015; 123:200-11. [PMID: 26254112 DOI: 10.1016/j.neuroimage.2015.07.072] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Revised: 05/14/2015] [Accepted: 07/27/2015] [Indexed: 12/16/2022] Open
Abstract
Historically, the human frontal pole (FP) has been considered as a single architectonic area. Brodmann's area 10 is located in the frontal lobe with known contributions in the execution of various higher order cognitive processes. However, recent cytoarchitectural studies of the FP in humans have shown that this portion of cortex contains two distinct cytoarchitectonic regions. Since architectonic differences are accompanied by differential connectivity and functions, the frontal pole qualifies as a candidate region for exploratory parcellation into functionally discrete sub-regions. We investigated whether this functional heterogeneity is reflected in distinct segregations within cytoarchitectonically defined FP-areas using meta-analytic co-activation based parcellation (CBP). The CBP method examined the co-activation patterns of all voxels within the FP as reported in functional neuroimaging studies archived in the BrainMap database. Voxels within the FP were subsequently clustered into sub-regions based on the similarity of their respective meta-analytically derived co-activation maps. Performing this CBP analysis on the FP via k-means clustering produced a distinct 3-cluster parcellation for each hemisphere corresponding to previously identified cytoarchitectural differences. Post-hoc functional characterization of clusters via BrainMap metadata revealed that lateral regions of the FP mapped to memory and emotion domains, while the dorso- and ventromedial clusters were associated broadly with emotion and social cognition processes. Furthermore, the dorsomedial regions contain an emphasis on theory of mind and affective related paradigms whereas ventromedial regions couple with reward tasks. Results from this study support previous segregations of the FP and provide meta-analytic contributions to the ongoing discussion of elucidating functional architecture within human FP.
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Affiliation(s)
- K L Ray
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA
| | - D H Zald
- Department of Psychology, Vanderbilt University, Nashville, TN, USA; Department of Psychiatry, Vanderbilt University, Nashville, TN, USA
| | - S Bludau
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany; Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University, Düsseldorf, Germany
| | - M C Riedel
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA
| | - D Bzdok
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany; Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University, Düsseldorf, Germany; Parietal Team, INRIA, NeuroSpin, Bat 145, CEA Saclay, 91191 Gif-sur-Yvette, France; NeuroSpin, CEA, Bat 145, CEA Saclay, 91191 Gif-sur-Yvette, France
| | - J Yanes
- Department of Physics, Florida International University, Miami, FL, USA
| | - K E Falcone
- Department of Physics, Florida International University, Miami, FL, USA
| | - K Amunts
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany
| | - P T Fox
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA; Research Service, South Texas Veterans Administration Medical Center, San Antonio, TX, USA; State Key Laboratory for Brain and Cognitive Sciences, University of Hong Kong, Hong Kong; School of Medicine, Shenzhen University, Shenzhen, China
| | - S B Eickhoff
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany; Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University, Düsseldorf, Germany
| | - A R Laird
- Department of Physics, Florida International University, Miami, FL, USA.
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Laird AR, Riedel MC, Sutherland MT, Eickhoff SB, Ray KL, Uecker AM, Fox PM, Turner JA, Fox PT. Neural architecture underlying classification of face perception paradigms. Neuroimage 2015; 119:70-80. [PMID: 26093327 DOI: 10.1016/j.neuroimage.2015.06.044] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Revised: 05/27/2015] [Accepted: 06/02/2015] [Indexed: 10/23/2022] Open
Abstract
We present a novel strategy for deriving a classification system of functional neuroimaging paradigms that relies on hierarchical clustering of experiments archived in the BrainMap database. The goal of our proof-of-concept application was to examine the underlying neural architecture of the face perception literature from a meta-analytic perspective, as these studies include a wide range of tasks. Task-based results exhibiting similar activation patterns were grouped as similar, while tasks activating different brain networks were classified as functionally distinct. We identified four sub-classes of face tasks: (1) Visuospatial Attention and Visuomotor Coordination to Faces, (2) Perception and Recognition of Faces, (3) Social Processing and Episodic Recall of Faces, and (4) Face Naming and Lexical Retrieval. Interpretation of these sub-classes supports an extension of a well-known model of face perception to include a core system for visual analysis and extended systems for personal information, emotion, and salience processing. Overall, these results demonstrate that a large-scale data mining approach can inform the evolution of theoretical cognitive models by probing the range of behavioral manipulations across experimental tasks.
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Affiliation(s)
- Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA; Department of Psychology, Florida International University, Miami, FL, USA.
| | - Michael C Riedel
- Department of Physics, Florida International University, Miami, FL, USA; Research Imaging Institute, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | | | - Simon B Eickhoff
- Institute of Neuroscience and Medicine, Research Center Jülich, Jülich, Germany; Institute for Clinical Neuroscience and Medical Psychology, Heinrich-Heine University, Dusseldorf, Germany
| | - Kimberly L Ray
- Research Imaging Institute, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - Angela M Uecker
- Research Imaging Institute, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - P Mickle Fox
- Research Imaging Institute, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - Jessica A Turner
- Department of Psychology and Neuroscience, Georgia State University, Atlanta, GA, USA
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center San Antonio, San Antonio, TX, USA; Research Service, South Texas Veterans Administration Medical Center, San Antonio, TX, USA; State Key Laboratory for Brain and Cognitive Sciences, University of Hong Kong, Hong Kong
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Ray KL, McKay DR, Fox PM, Riedel MC, Uecker AM, Beckmann CF, Smith SM, Fox PT, Laird AR. ICA model order selection of task co-activation networks. Front Neurosci 2013; 7:237. [PMID: 24339802 PMCID: PMC3857551 DOI: 10.3389/fnins.2013.00237] [Citation(s) in RCA: 119] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2013] [Accepted: 11/23/2013] [Indexed: 12/14/2022] Open
Abstract
Independent component analysis (ICA) has become a widely used method for extracting functional networks in the brain during rest and task. Historically, preferred ICA dimensionality has widely varied within the neuroimaging community, but typically varies between 20 and 100 components. This can be problematic when comparing results across multiple studies because of the impact ICA dimensionality has on the topology of its resultant components. Recent studies have demonstrated that ICA can be applied to peak activation coordinates archived in a large neuroimaging database (i.e., BrainMap Database) to yield whole-brain task-based co-activation networks. A strength of applying ICA to BrainMap data is that the vast amount of metadata in BrainMap can be used to quantitatively assess tasks and cognitive processes contributing to each component. In this study, we investigated the effect of model order on the distribution of functional properties across networks as a method for identifying the most informative decompositions of BrainMap-based ICA components. Our findings suggest dimensionality of 20 for low model order ICA to examine large-scale brain networks, and dimensionality of 70 to provide insight into how large-scale networks fractionate into sub-networks. We also provide a functional and organizational assessment of visual, motor, emotion, and interoceptive task co-activation networks as they fractionate from low to high model-orders.
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Affiliation(s)
- Kimberly L Ray
- Research Imaging Institute, University of Texas Health Science Center, San Antonio TX, USA
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