Add Laird and Sutherland papers (#335)

* Add Laird and Sutherland papers

* Delete 2022-07-28-meca-acculturative-orientations-among.md

* Move NiMARE paper from the preprint section

* Clean preprint section

* Update 2023-01-29-pintos-neural-systems-underlying.md

papers/_posts/2022-02-28-sutherland-electronic-cigarette-use.md

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+---
+layout: paper
+title: "Electronic Cigarette Use Intentions Mediate the Association between Low Self-Control and Future Use by Internalizing Symptoms"
+nickname: 2022-02-28-sutherland-electronic-cigarette-use
+authors: "Sutherland BD, Sutherland MT, Trucco EM"
+year: "2022"
+journal: "Subst Use Misuse"
+volume: 57
+issue: 12
+pages: 1797-1807
+is_published: true
+image: /assets/images/papers/subst-use-misuse.png
+projects:
+tags: []
+
+# Text
+fulltext:
+pdf:
+pdflink:
+pmcid: PMC9560985
+preprint:
+supplement:
+
+# Links
+doi: "10.1080/10826084.2022.2115848"
+pmid: 36041007
+
+# Data and code
+github:
+neurovault:
+openneuro:
+figshare:
+figshare_names:
+osf:
+---
+{% include JB/setup %}
+
+# Abstract
+
+Background: Adolescent electronic (e-)cigarette use intentions are related to initiation. Low self-control is also a risk factor for early stages of substance use. Yet, the impact of low self-control on use through intentions may vary across individuals; depression and anxiety may affect this association. Methods: A sample of 200 adolescents who completed waves 1 and 2 of an ongoing longitudinal study were assessed. We hypothesized that high internalizing symptoms would moderate the indirect effect of low self-control on actual e-cigarette use through e-cigarette use intentions. Results: The mediation pathway was significant at high levels of internalizing symptoms, but not at low or moderate levels. Conclusion: Specifically, those with low self-control and high internalizing symptomatology endorsed the highest e-cigarette use intentions and were more likely to subsequently use e-cigarettes. Youth low in self-control and high in depression and anxiety might be at increased risk to initiate e-cigarette use compared to youth high in self-control and high in internalizing symptomatology.

papers/_posts/2022-07-29-flannery-altered-largescale-brain.md

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+---
+layout: paper
+title: "Altered large-scale brain network interactions associated with HIV infection and error processing"
+nickname: 2022-07-29-flannery-altered-largescale-brain
+authors: "Flannery JS, Riedel MC, Hill-Bowen LD, Poudel R, Bottenhorn KL, Salo T, Laird AR, Gonzalez R, Sutherland MT"
+year: "2022"
+journal: "Netw Neurosci"
+volume: 6
+issue: 3
+pages: 791-815
+is_published: true
+image: /assets/images/papers/netw-neurosci.png
+projects:
+tags: []
+
+# Text
+fulltext:
+pdf:
+pdflink:
+pmcid: PMC9810366
+preprint:
+supplement:
+
+# Links
+doi: "10.1162/netn_a_00241"
+pmid: 36605414
+
+# Data and code
+github:
+neurovault:
+openneuro:
+figshare:
+figshare_names:
+osf:
+---
+{% include JB/setup %}
+
+# 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.

papers/_posts/2022-09-13-pankey-extended-functional-connectivity.md

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+---
+layout: paper
+title: "Extended functional connectivity of convergent structural alterations among individuals with PTSD: a neuroimaging meta-analysis"
+nickname: 2022-09-13-pankey-extended-functional-connectivity
+authors: "Pankey BS, Riedel MC, Cowan I, Bartley JE, Pintos Lobo R, Hill-Bowen LD, Salo T, Musser ED, Sutherland MT, Laird AR"
+year: "2022"
+journal: "Behav Brain Funct"
+volume: 18
+issue: 1
+pages: 9
+is_published: true
+image: /assets/images/papers/behav-brain-functions.png
+projects:
+tags: []
+
+# Text
+fulltext:
+pdf:
+pdflink:
+pmcid: PMC9472396
+preprint:
+supplement:
+
+# Links
+doi: "10.1186/s12993-022-00196-2"
+pmid: 36100907
+
+# Data and code
+github:
+neurovault:
+openneuro:
+figshare:
+figshare_names:
+osf:
+---
+
+{% include JB/setup %}
+
+# 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.

papers/_posts/2022-11-01-hill-bowen-convergent-gray-matter.md

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+---
+layout: paper
+title: "Convergent gray matter alterations across drugs of abuse and network-level implications: A meta-analysis of structural MRI studies"
+nickname: 2022-11-01-hill-bowen-convergent-gray-matter
+authors: "Hill-Bowen LD, Riedel MC, Salo T, Flannery JS, Poudel R, Laird AR, Sutherland MT"
+year: "2022"
+journal: "Drug Alcohol Depend"
+volume: 240
+issue: 
+pages: 109625
+is_published: true
+image: /assets/images/papers/drug-alcohol-depend.png
+projects:
+tags: []
+
+# Text
+fulltext:
+pdf:
+pdflink:
+pmcid: 
+preprint:
+supplement:
+
+# Links
+doi: "10.1016/j.drugalcdep.2022.109625"
+pmid: 36115222
+
+# Data and code
+github:
+neurovault:
+openneuro:
+figshare:
+figshare_names:
+osf:
+---
+{% include JB/setup %}
+
+# 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.