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Allen CH, Maurer JM, Gullapalli AR, Edwards BG, Aharoni E, Harenski CL, Anderson NE, Harenski KA, Calhoun VD, Kiehl KA. Psychopathic traits and altered resting-state functional connectivity in incarcerated adolescent girls. FRONTIERS IN NEUROIMAGING 2023; 2:1216494. [PMID: 37554634 PMCID: PMC10406221 DOI: 10.3389/fnimg.2023.1216494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 07/19/2023] [Indexed: 08/10/2023]
Abstract
Previous work in incarcerated boys and adult men and women suggest that individuals scoring high on psychopathic traits show altered resting-state limbic/paralimbic, and default mode functional network properties. However, it is unclear whether similar results extend to high-risk adolescent girls with elevated psychopathic traits. This study examined whether psychopathic traits [assessed via the Hare Psychopathy Checklist: Youth Version (PCL:YV)] were associated with altered inter-network connectivity, intra-network connectivity (i.e., functional coherence within a network), and amplitude of low-frequency fluctuations (ALFFs) across resting-state networks among high-risk incarcerated adolescent girls (n = 40). Resting-state networks were identified by applying group independent component analysis (ICA) to resting-state fMRI scans, and a priori regions of interest included limbic, paralimbic, and default mode network components. We tested the association of psychopathic traits (PCL:YV Factor 1 measuring affective/interpersonal traits and PCL:YV Factor 2 assessing antisocial/lifestyle traits) to these three resting-state measures. PCL:YV Factor 1 scores were associated with increased low-frequency and decreased high-frequency fluctuations in components corresponding to the default mode network, as well as increased intra-network FNC in components corresponding to cognitive control networks. PCL:YV Factor 2 scores were associated with increased low-frequency fluctuations in sensorimotor networks and decreased high-frequency fluctuations in default mode, sensorimotor, and visual networks. Consistent with previous analyses in incarcerated adult women, our results suggest that psychopathic traits among incarcerated adolescent girls are associated with altered intra-network ALFFs-primarily that of increased low-frequency and decreased high-frequency fluctuations-and connectivity across multiple networks including paralimbic regions. These results suggest stable neurobiological correlates of psychopathic traits among women across development.
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Affiliation(s)
- Corey H. Allen
- The Mind Research Network, Albuquerque, NM, United States
| | | | | | | | - Eyal Aharoni
- Department of Psychology, Georgia State University, Atlanta, GA, United States
| | | | | | | | - Vince D. Calhoun
- Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States
- Department of Computer Science, Georgia State University, Atlanta, GA, United States
| | - Kent A. Kiehl
- The Mind Research Network, Albuquerque, NM, United States
- Department of Psychology, University of New Mexico, Albuquerque, NM, United States
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van Lutterveld R, Varkevisser T, Kouwer K, van Rooij SJH, Kennis M, Hueting M, van Montfort S, van Dellen E, Geuze E. Spontaneous brain activity, graph metrics, and head motion related to prospective post-traumatic stress disorder trauma-focused therapy response. Front Hum Neurosci 2022; 16:730745. [PMID: 36034114 PMCID: PMC9413840 DOI: 10.3389/fnhum.2022.730745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 07/21/2022] [Indexed: 11/29/2022] Open
Abstract
Introduction Trauma-focused psychotherapy for post-traumatic stress disorder (PTSD) is effective in about half of all patients. Investigating biological systems related to prospective treatment response is important to gain insight in mechanisms predisposing patients for successful intervention. We studied if spontaneous brain activity, brain network characteristics and head motion during the resting state are associated with future treatment success. Methods Functional magnetic resonance imaging scans were acquired from 46 veterans with PTSD around the start of treatment. Psychotherapy consisted of trauma-focused cognitive behavioral therapy (tf-CBT), eye movement desensitization and reprocessing (EMDR), or a combination thereof. After intervention, 24 patients were classified as treatment responders and 22 as treatment resistant. Differences between groups in spontaneous brain activity were evaluated using amplitude of low-frequency fluctuations (ALFF), while global and regional brain network characteristics were assessed using a minimum spanning tree (MST) approach. In addition, in-scanner head motion was assessed. Results No differences in spontaneous brain activity and global network characteristics were observed between the responder and non-responder group. The right inferior parietal lobule, right putamen and left superior parietal lobule had a more central position in the network in the responder group compared to the non-responder group, while the right dorsolateral prefrontal cortex (DLPFC), right inferior frontal gyrus and left inferior temporal gyrus had a less central position. In addition, responders showed less head motion. Discussion These results show that areas involved in executive functioning, attentional and action processes, learning, and visual-object processing, are related to prospective PTSD treatment response in veterans. In addition, these findings suggest that involuntary micromovements may be related to future treatment success.
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Affiliation(s)
- Remko van Lutterveld
- Brain Research and Innovation Centre, Ministry of Defence, Utrecht, Netherlands
- Department of Psychiatry, University Medical Centre, Utrecht, Netherlands
- *Correspondence: Remko van Lutterveld,
| | - Tim Varkevisser
- Brain Research and Innovation Centre, Ministry of Defence, Utrecht, Netherlands
- Department of Psychiatry, University Medical Centre, Utrecht, Netherlands
| | - Karlijn Kouwer
- Brain Research and Innovation Centre, Ministry of Defence, Utrecht, Netherlands
- Department of Psychiatry, University Medical Centre, Utrecht, Netherlands
| | - Sanne J. H. van Rooij
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States
| | - Mitzy Kennis
- ARQ National Psychotrauma Centre, ARQ Centre of Expertise for the Impact of Disasters and Crises, Diemen, Netherlands
| | - Martine Hueting
- Brain Research and Innovation Centre, Ministry of Defence, Utrecht, Netherlands
| | - Simone van Montfort
- Department of Intensive Care Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Edwin van Dellen
- Department of Psychiatry, University Medical Centre, Utrecht, Netherlands
- Department of Intensive Care Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Elbert Geuze
- Brain Research and Innovation Centre, Ministry of Defence, Utrecht, Netherlands
- Department of Psychiatry, University Medical Centre, Utrecht, Netherlands
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Strigo IA, Spadoni AD, Simmons AN. Understanding Pain and Trauma Symptoms in Veterans From Resting-State Connectivity: Unsupervised Modeling. FRONTIERS IN PAIN RESEARCH 2022; 3:871961. [PMID: 35620636 PMCID: PMC9127988 DOI: 10.3389/fpain.2022.871961] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 04/07/2022] [Indexed: 01/19/2023] Open
Abstract
Trauma and posttraumatic stress are highly comorbid with chronic pain and are often antecedents to developing chronic pain conditions. Pain and trauma are associated with greater utilization of medical services, greater use of psychiatric medication, and increased total cost of treatment. Despite the high overlap in the clinic, the neural mechanisms of pain and trauma are often studied separately. In this study, resting-state functional magnetic resonance imaging (rs-fMRI) scans were completed among a diagnostically heterogeneous sample of veterans with a range of back pain and trauma symptoms. Using Group Iterative Multiple Model Estimation (GIMME), an effective functional connectivity analysis, we explored an unsupervised model deriving subgroups based on path similarity in a priori defined regions of interest (ROIs) from brain regions implicated in the experience of pain and trauma. Three subgroups were identified by patterns in functional connection and differed significantly on several psychological measures despite similar demographic and diagnostic characteristics. The first subgroup was highly connected overall, was characterized by functional connectivity from the nucleus accumbens (NAc), the anterior cingulate cortex (ACC), and the posterior cingulate cortex (PCC) to the insula and scored low on pain and trauma symptoms. The second subgroup did not significantly differ from the first subgroup on pain and trauma measures but was characterized by functional connectivity from the ACC and NAc to the thalamus and from ACC to PCC. The third subgroup was characterized by functional connectivity from the thalamus and PCC to NAc and scored high on pain and trauma symptoms. Our results suggest that, despite demographic and diagnostic similarities, there may be neurobiologically dissociable biotypes with different mechanisms for managing pain and trauma. These findings may have implications for the determination of appropriate biotype-specific interventions that target these neurological systems.
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Affiliation(s)
- Irina A. Strigo
- Emotion and Pain Laboratory, San Francisco Veterans Affairs Health Care Center, San Francisco, CA, United States
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Andrea D. Spadoni
- Stress and Neuroimaging Laboratory, San Diego Veterans Affairs Health Care Center, San Francisco, CA, United States
- Center of Excellence in Stress and Mental Health, San Diego Veterans Affairs Health Care Center, San Diego, CA, United States
- Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
| | - Alan N. Simmons
- Stress and Neuroimaging Laboratory, San Diego Veterans Affairs Health Care Center, San Francisco, CA, United States
- Center of Excellence in Stress and Mental Health, San Diego Veterans Affairs Health Care Center, San Diego, CA, United States
- Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
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Vines L, Sotelo D, Johnson A, Dennis E, Manza P, Volkow ND, Wang GJ. Ketamine use disorder: preclinical, clinical, and neuroimaging evidence to support proposed mechanisms of actions. INTELLIGENT MEDICINE 2022; 2:61-68. [PMID: 35783539 PMCID: PMC9249268 DOI: 10.1016/j.imed.2022.03.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Ketamine, a noncompetitive NMDA receptor antagonist, has been exclusively used as an anesthetic in medicine and has led to new insights into the pathophysiology of neuropsychiatric disorders. Clinical studies have shown that low subanesthetic doses of ketamine produce antidepressant effects for individuals with depression. However, its use as a treatment for psychiatric disorders has been limited due to its reinforcing effects and high potential for diversion and misuse. Preclinical studies have focused on understanding the molecular mechanisms underlying ketamine's antidepressant effects, but a precise mechanism had yet to be elucidated. Here we review different hypotheses for ketamine's mechanism of action including the direct inhibition and disinhibition of NMDA receptors, AMPAR activation, and heightened activation of monoaminergic systems. The proposed mechanisms are not mutually exclusive, and their combined influence may exert the observed structural and functional neural impairments. Long term use of ketamine induces brain structural, functional impairments, and neurodevelopmental effects in both rodents and humans. Its misuse has increased rapidly in the past 20 years and is one of the most common addictive drugs used in Asia. The proposed mechanisms of action and supporting neuroimaging data allow for the development of tools to identify 'biotypes' of ketamine use disorder (KUD) using machine learning approaches, which could inform intervention and treatment.
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Affiliation(s)
| | | | | | | | | | | | - Gene-Jack Wang
- Corresponding author: Gene-Jack Wang, Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, 10 Center Dr, Rm B2L124, Bethesda, Maryland, United States ()
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Arredondo MM, Kovelman I, Satterfield T, Hu X, Stojanov L, Beltz AM. Person-specific connectivity mapping uncovers differences of bilingual language experience on brain bases of attention in children. BRAIN AND LANGUAGE 2022; 227:105084. [PMID: 35176615 PMCID: PMC9617512 DOI: 10.1016/j.bandl.2022.105084] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 01/12/2022] [Accepted: 01/27/2022] [Indexed: 05/31/2023]
Abstract
Bilingualism influences children's cognition, yet bilinguals vary greatly in their dual-language experiences. To uncover sources of variation in bilingual and monolingual brain function, the present study used standard analysis and innovative person-specific connectivity models combined with a data-driven grouping algorithm. Children (ages 7-9; N = 52) completed a visuo-spatial attention task while undergoing functional near-infrared spectroscopy neuroimaging. Both bilingual and monolingual groups performed similarly, and engaged bilateral frontal and parietal regions. However, bilinguals showed greater brain activity than monolinguals in left frontal and parietal regions. Connectivity models revealed two empirically-derived subgroups. One subgroup was composed of monolinguals and bilinguals who were more English dominant, and showed left frontal-parietal connections. The other was composed of bilinguals who were balanced in their dual-language abilities and showed left frontal lobe connections. The findings inform how individual variation in early language experiences influences children's emerging cortical networks for executive function, and reveal efficacy of data-driven approaches.
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Affiliation(s)
- Maria M Arredondo
- The University of Texas at Austin, Dept. of Human Development & Family Sciences, 108 E Dean Keeton St., Austin, TX 78712, USA; University of Michigan, Dept. of Psychology, 530 Church St., Ann Arbor, MI 48109, USA.
| | - Ioulia Kovelman
- University of Michigan, Dept. of Psychology, 530 Church St., Ann Arbor, MI 48109, USA.
| | - Teresa Satterfield
- University of Michigan, Dept. of Romance Languages & Literatures, 812 E. Washington St., Ann Arbor, MI 48109, USA.
| | - Xiaosu Hu
- University of Michigan, Dept. of Biologic and Materials Sciences & Prosthodontics, School of Dentistry, Ann Arbor, MI 48109, USA.
| | - Lara Stojanov
- University of Michigan, Dept. of Psychology, 530 Church St., Ann Arbor, MI 48109, USA.
| | - Adriene M Beltz
- University of Michigan, Dept. of Psychology, 530 Church St., Ann Arbor, MI 48109, USA.
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