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Kirse HA, Bahrami M, Lyday RG, Simpson SL, Peterson-Sockwell H, Burdette JH, Laurienti PJ. Differences in Brain Network Topology Based on Alcohol Use History in Adolescents. Brain Sci 2023; 13:1676. [PMID: 38137124 PMCID: PMC10741456 DOI: 10.3390/brainsci13121676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 11/10/2023] [Accepted: 11/28/2023] [Indexed: 12/24/2023] Open
Abstract
Approximately 6 million youth aged 12 to 20 consume alcohol monthly in the United States. The effect of alcohol consumption in adolescence on behavior and cognition is heavily researched; however, little is known about how alcohol consumption in adolescence may alter brain function, leading to long-term developmental detriments. In order to investigate differences in brain connectivity associated with alcohol use in adolescents, brain networks were constructed using resting-state functional magnetic resonance imaging data collected by the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) from 698 youth (12-21 years; 117 hazardous drinkers and 581 no/low drinkers). Analyses assessed differences in brain network topology based on alcohol consumption in eight predefined brain networks, as well as in whole-brain connectivity. Within the central executive network (CEN), basal ganglia network (BGN), and sensorimotor network (SMN), no/low drinkers demonstrated stronger and more frequent connections between highly globally efficient nodes, with fewer and weaker connections between highly clustered nodes. Inverse results were observed within the dorsal attention network (DAN), visual network (VN), and frontotemporal network (FTN), with no/low drinkers demonstrating weaker connections between nodes with high efficiency and increased frequency of clustered nodes compared to hazardous drinkers. Cross-sectional results from this study show clear organizational differences between adolescents with no/low or hazardous alcohol use, suggesting that aberrant connectivity in these brain networks is associated with risky drinking behaviors.
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Affiliation(s)
- Haley A. Kirse
- Laboratory for Complex Brain Networks, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA; (H.A.K.); (M.B.); (R.G.L.); (S.L.S.); (H.P.-S.); (J.H.B.)
- Graduate Program, Wake Forest Graduate School of Arts and Sciences, Integrative Physiology and Pharmacology, Winston-Salem, NC 27101, USA
| | - Mohsen Bahrami
- Laboratory for Complex Brain Networks, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA; (H.A.K.); (M.B.); (R.G.L.); (S.L.S.); (H.P.-S.); (J.H.B.)
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Robert G. Lyday
- Laboratory for Complex Brain Networks, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA; (H.A.K.); (M.B.); (R.G.L.); (S.L.S.); (H.P.-S.); (J.H.B.)
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Sean L. Simpson
- Laboratory for Complex Brain Networks, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA; (H.A.K.); (M.B.); (R.G.L.); (S.L.S.); (H.P.-S.); (J.H.B.)
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Hope Peterson-Sockwell
- Laboratory for Complex Brain Networks, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA; (H.A.K.); (M.B.); (R.G.L.); (S.L.S.); (H.P.-S.); (J.H.B.)
| | - Jonathan H. Burdette
- Laboratory for Complex Brain Networks, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA; (H.A.K.); (M.B.); (R.G.L.); (S.L.S.); (H.P.-S.); (J.H.B.)
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Paul J. Laurienti
- Laboratory for Complex Brain Networks, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA; (H.A.K.); (M.B.); (R.G.L.); (S.L.S.); (H.P.-S.); (J.H.B.)
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
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2
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Morales AM, Gilbert S, Hart E, Jones SA, Boyd SJ, Mitchell SH, Nagel BJ. Alcohol-induced changes in mesostriatal resting-state functional connectivity are linked to sensation seeking in young adults. ALCOHOL, CLINICAL & EXPERIMENTAL RESEARCH 2023; 47:659-667. [PMID: 36799331 PMCID: PMC10149605 DOI: 10.1111/acer.15032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 01/25/2023] [Accepted: 01/31/2023] [Indexed: 02/18/2023]
Abstract
BACKGROUND Studies in animals and humans suggest that greater levels of sensation seeking and alcohol use are related to individual differences in drug-induced dopamine release. However, it remains unclear whether drug-induced alterations in the functional synchrony between mesostriatal regions are related to sensation seeking and alcohol use. METHODS In this within-subject masked-design study, 21-year-old participants (n = 34) underwent functional magnetic resonance imaging to measure ventral tegmental area (VTA) resting-state functional connectivity to the striatum after receiving alcohol (target blood alcohol concentration 0.08 g/dL) or placebo. Participants also completed the UPPS-P Impulsive Behavior Scale to assess sensation seeking, the Young Adult Alcohol Consequences Questionnaire, and self-reported patterns of alcohol and drug use. RESULTS Voxel-wise analyses within the striatum demonstrated that during the alcohol condition (compared with placebo) young adults had less connectivity between the VTA and bilateral caudate (p < 0.05 corrected). However, young adults exhibiting smaller alcohol-induced decreases or increases in VTA-left caudate connectivity reported greater sensation seeking. CONCLUSION These findings provide novel information about how acute alcohol impacts resting-state connectivity, an effect that may be driven by the complex pre and postsynaptic effects of alcohol on various neurotransmitters including dopamine. Further, alcohol-induced differences in VTA connectivity represent a plausible mechanistic substrate underlying sensation seeking.
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Affiliation(s)
| | - Sydney Gilbert
- Departments of Psychiatry, Oregon Health & Science University
| | - Elijah Hart
- Departments of Psychiatry, Oregon Health & Science University
| | - Scott A. Jones
- Departments of Psychiatry, Oregon Health & Science University
| | - Stephen J. Boyd
- Departments of Anesthesiology and Perioperative Medicine, Oregon Health & Science University
| | - Suzanne H. Mitchell
- Departments of Psychiatry, Oregon Health & Science University
- Departments of Behavioral Neuroscience, Oregon Health & Science University
- Oregon Institute of Occupational Health Sciences, Oregon Health & Science University
| | - Bonnie J. Nagel
- Departments of Psychiatry, Oregon Health & Science University
- Departments of Behavioral Neuroscience, Oregon Health & Science University
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3
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Mestre-Bach G, Potenza MN. Potential Biological Markers and Treatment Implications for Binge Eating Disorder and Behavioral Addictions. Nutrients 2023; 15:827. [PMID: 36839185 PMCID: PMC9962023 DOI: 10.3390/nu15040827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 01/28/2023] [Accepted: 02/04/2023] [Indexed: 02/08/2023] Open
Abstract
The reward system is highly relevant to behavioral addictions such as gambling disorder (GD), internet gaming disorder (IGD), and food addiction/binge eating disorder (FA/BED). Among other brain regions, the ventral striatum (VS) has been implicated in reward processing. The main objective of the present state-of-the-art review was to explore in depth the specific role of the VS in GD, IGD and FA/BED, understanding it as a possible biomarker of these conditions. Studies analyzing brain changes following interventions for these disorders, and especially those that had explored possible treatment-related changes in VS, are discussed. More evidence is needed on how existing treatments (both pharmacological and psychobehavioral) for behavioral addictions affect the activation of the VS and related circuitry.
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Affiliation(s)
- Gemma Mestre-Bach
- Facultad de Ciencias de la Salud, Universidad Internacional de La Rioja, 26006 Logroño, Spain
| | - Marc N. Potenza
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT 06510, USA
- Connecticut Mental Health Center, New Haven, CT 06519, USA
- Connecticut Council on Problem Gambling, Wethersfield, CT 06109, USA
- Wu Tsai Institute, Yale University, New Haven, CT 06510, USA
- Yale Child Study Center, School of Medicine, Yale University, New Haven, CT 06510, USA
- Department of Neuroscience, School of Medicine, Yale University, New Haven, CT 06510, USA
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4
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Schaub AC, Vogel M, Baumgartner S, Lang UE, Borgwardt S, Schmidt A, Walter M. Striatal resting-state connectivity after long-term diacetylmorphine treatment in opioid-dependent patients. Brain Commun 2022; 4:fcac275. [PMID: 36382218 PMCID: PMC9642101 DOI: 10.1093/braincomms/fcac275] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 07/26/2022] [Accepted: 10/24/2022] [Indexed: 08/22/2023] Open
Abstract
New treatment approaches for opioid-dependent patients include injectable opioid agonist treatment with diacetylmorphine. While evidence has shown beneficial clinical effects of diacetylmorphine, it is still not clear how long-term diacetylmorphine treatment affects the brain and whether functional brain changes are accompanied by clinical improvements. Therefore, this prospective case-control study focuses on long-term effects of diacetylmorphine on resting-state functional connectivity. We included opioid-dependent patients (N = 22, age range 33-58, 16 males) treated with diacetylmorphine and healthy controls (N = 9, age range 27-55, 5 males) that underwent two MRI assessments approximately nine years apart. For the patients, the assessments took part shortly after the diacetylmorphine intake to be able to explore changes in resting-state functional connectivity in brain regions related to the stage of binge and intoxication (caudate, putamen, nucleus accumbens). A cluster in the right superior frontal gyrus was detected, showing over nine years an increase in functional connectivity originating from the left caudate and the left accumbens in patients but not in healthy controls. These connectivity changes in patients were related to the duration of the diacetylmorphine treatment at the follow-up, indicating smaller increases in functional connectivity with longer treatment duration (r = 0.63, P < 0.01). These results suggest that long-term diacetylmorphine treatment in opioid-dependent patients increases fronto-striatal connections, an effect that is linked to the duration of the treatment duration. Future research needs to further address the wide-ranging effects of diacetylmorphine on brain functioning and deepen the understanding of their clinical relevance.
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Affiliation(s)
- Anna-Chiara Schaub
- Department of Psychiatry (UPK), University of Basel, 4002 Basel, Switzerland
| | - Marc Vogel
- Department of Psychiatry (UPK), University of Basel, 4002 Basel, Switzerland
| | - Sophie Baumgartner
- Department of Psychiatry (UPK), University of Basel, 4002 Basel, Switzerland
| | - Undine E Lang
- Department of Psychiatry (UPK), University of Basel, 4002 Basel, Switzerland
| | - Stefan Borgwardt
- Department of Psychiatry and Psychotherapy, University of Lübeck, 23562 Lübeck, Germany
| | - André Schmidt
- Department of Psychiatry (UPK), University of Basel, 4002 Basel, Switzerland
| | - Marc Walter
- Department of Psychiatry (UPK), University of Basel, 4002 Basel, Switzerland
- Psychiatrische Dienste Aargau, Windisch, Switzerland
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5
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Withey SL, Cao L, de Moura FB, Cayetano KR, Rohan ML, Bergman J, Kohut SJ. Fentanyl-induced changes in brain activity in awake nonhuman primates at 9.4 Tesla. Brain Imaging Behav 2022; 16:1684-1694. [PMID: 35226333 DOI: 10.1007/s11682-022-00639-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/13/2022] [Indexed: 12/17/2022]
Abstract
Functional magnetic resonance imaging (fMRI) has been used to study the influence of opioids on neural circuitry implicated in opioid use disorder, such as the cortico-striatal-thalamo-cortical (CSTC) circuit. Given the increase in fentanyl-related deaths, this study was conducted to characterize the effects of fentanyl on patterns of brain activation in awake nonhuman primates. Four squirrel monkeys were acclimated to awake scanning procedures conducted at 9.4 Tesla. Subsequently, test sessions were conducted in which a dose of fentanyl that reliably maintains intravenous (IV) self-administration behavior in monkeys, 1 μg/kg, was administered and the effects on patterns of brain activity were assessed using: (1) a pharmacological regressor to elucidate fentanyl-induced patterns of neural activity, and (2) seed-based approaches targeting bilateral anterior cingulate, thalamus, or nucleus accumbens (NAc) to determine alterations in CSTC functional connectivity. Results showed a functional inhibition of BOLD signal in brain regions that mediate behavioral effects of opioid agonists, such as cingulate cortex, striatum and midbrain. Functional connectivity between each of the seed regions and areas involved in motoric, sensory and cognition-related behavior generally decreased. In contrast, NAc functional connectivity with other striatal regions increased. These results indicate that fentanyl produces changes within CSTC circuitry that may reflect key features of opioid use disorder (e.g. persistent drug-taking/seeking) and thereby contribute to long-term disruptions in behavior and addiction. They also indicate that fMRI in alert nonhuman primates can detect drug-induced changes in neural circuits and, in turn, may be useful for investigating the effectiveness of medications to reverse drug-induced dysregulation.
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Affiliation(s)
- Sarah L Withey
- Behavioral Biology Program, McLean Hospital - Harvard Medical School, 115 Mill Street, Belmont, MA, 02478, USA.
| | - Lei Cao
- Behavioral Neuroimaging Laboratory, McLean Hospital - Harvard Medical School, Belmont, MA, USA.,McLean Imaging Center, McLean Hospital - Harvard Medical School, Belmont, MA, USA
| | - Fernando B de Moura
- Behavioral Biology Program, McLean Hospital - Harvard Medical School, 115 Mill Street, Belmont, MA, 02478, USA.,Behavioral Neuroimaging Laboratory, McLean Hospital - Harvard Medical School, Belmont, MA, USA.,McLean Imaging Center, McLean Hospital - Harvard Medical School, Belmont, MA, USA
| | - Kenroy R Cayetano
- McLean Imaging Center, McLean Hospital - Harvard Medical School, Belmont, MA, USA
| | - Michael L Rohan
- McLean Imaging Center, McLean Hospital - Harvard Medical School, Belmont, MA, USA
| | - Jack Bergman
- Behavioral Biology Program, McLean Hospital - Harvard Medical School, 115 Mill Street, Belmont, MA, 02478, USA
| | - Stephen J Kohut
- Behavioral Biology Program, McLean Hospital - Harvard Medical School, 115 Mill Street, Belmont, MA, 02478, USA.,Behavioral Neuroimaging Laboratory, McLean Hospital - Harvard Medical School, Belmont, MA, USA.,McLean Imaging Center, McLean Hospital - Harvard Medical School, Belmont, MA, USA
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6
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Mohammadzadeh L, Alizadeh AM, Feiz MS, Jamali S, Abedi M, Latifi H, Haghparast A. Acute morphine administration, morphine dependence, and naloxone-induced withdrawal syndrome affect the resting-state functional connectivity and local field potentials of the rat prefrontal cortex. Behav Brain Res 2022; 427:113859. [PMID: 35337941 DOI: 10.1016/j.bbr.2022.113859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 02/14/2022] [Accepted: 03/19/2022] [Indexed: 11/02/2022]
Abstract
Opiates are among the widely abused substances worldwide. Also, the clinical use of opioids can cause unwanted and potentially severe consequences such as developing tolerance and dependence. This study simultaneously measured the changes induced after morphine dependence and naloxone-induced withdrawal syndrome on the resting-state functional connectivity (rsFC) and local field potential (LFP) power in the prefrontal cortex of the rat. The obtained results revealed that acute morphine administration significantly increased the LFP power in all frequency bands, as well as the rsFC strength of the prefrontal cortex, and naloxone injection reversed this effect. In contrast, chronic morphine administration reduced neural activity and general correlation values in intrinsic signals, as well as the LFP power in all frequency bands. In morphine-dependent rats, after each morphine administration, the LFP power in all frequency bands and the rsFC strength of the prefrontal cortex were increased, and these effects were further enhanced after naloxone precipitated withdrawal syndrome. The present study concludes that general correlation merely reflects the field activity of the local cortices imaged.
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Affiliation(s)
- Leila Mohammadzadeh
- Laser and Plasma Research Institute, Shahid Beheshti University, Tehran, 19839-69411, Iran
| | - Amir Mohammad Alizadeh
- Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY 14627, USA
| | - Mohammad Sadegh Feiz
- Laser and Plasma Research Institute, Shahid Beheshti University, Tehran, 19839-69411, Iran
| | - Shole Jamali
- Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland
| | - Mohaddeseh Abedi
- Department of Physics, Shahid Beheshti University, Tehran, 19839-63113, Iran
| | - Hamid Latifi
- Laser and Plasma Research Institute, Shahid Beheshti University, Tehran, 19839-69411, Iran; Department of Physics, Shahid Beheshti University, Tehran, 19839-63113, Iran.
| | - Abbas Haghparast
- Neuroscience Research Center, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, P.O.Box 19615-1178, Iran.
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Sil S, Singh S, Chemparathy DT, Chivero ET, Gordon L, Buch S. Astrocytes & Astrocyte derived Extracellular Vesicles in Morphine Induced Amyloidopathy: Implications for Cognitive Deficits in Opiate Abusers. Aging Dis 2021; 12:1389-1408. [PMID: 34527417 PMCID: PMC8407877 DOI: 10.14336/ad.2021.0406] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 04/06/2021] [Indexed: 12/23/2022] Open
Abstract
While opiates like morphine play a major role in the pharmacotherapy for the control of pain associated with various diseases, paradoxically, their long-term use is associated with cognitive impairments. Furthermore, morphine administration has been shown to result in neuronal synaptodendritic injury in rodent brains, leading to neurodegeneration. We recently reported the role of astrocytes as contributors of amyloidosis associated with HIV-associated neurological disorders. Herein we hypothesize that morphine could induce astrocytic amyloidosis, which, in turn, could be disseminated to various regions in the brain by astrocyte-derived EVs (ADEVs). In this study we demonstrate brain region-specific up-regulation of astrocytic amyloids in morphine dependendent rhesus macaques. In addition, herein we also demonstrate increased expression of β-site cleaving enzyme (BACE1), APP, and Aβ in human primary astrocytes (HPAs) exposed to morphine. Mechanisms involved in this process included the up-regulation of hypoxia-inducible factor (HIF-1α), its translocation and binding to the promoter of BACE1, leading to increased BACE1 activity and, generation of Aβ 1-42. Gene silencing approaches confirmed the regulatory role of HIF-1α in BACE1 mediated amyloidosis leading to astrocyte activation and neuroinflammation. We next sought to assess whether morphine-stimulated ADEVs could carry amyloid cargoes. Results showed that morphine exposure induced the release of morphine-ADEVs, carrying amyloids. Interestingly, silencing HIF-1α in astrocytes not only reduced the numbers of ADEV released, but also the packaging of amyloid cargos in the ADEVs. These findings were further validated in brain derived EVs (BEVs) isolated from macaques, wherein it was shown that BEVs from morphine-dependent macaques, carried varieties of amyloid cargoes including the cytokine IL-1β. This is the first report implicating the role of HIF-1α-BACE1 axis in morphine-mediated induction of astrocytic amyloidosis, leading, in turn, to neuroinflammation and release of the amyloid cargoes via ADEVs. These findings set the groundwork for the future development of therapeutic strategies for targeting cognitive deficits in chronic opiate users.
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Affiliation(s)
- Susmita Sil
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68198-5880, USA
| | - Seema Singh
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68198-5880, USA
| | - Divya T Chemparathy
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68198-5880, USA
| | - Ernest T Chivero
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68198-5880, USA
| | - Lila Gordon
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68198-5880, USA
| | - Shilpa Buch
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68198-5880, USA
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8
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Yoga as an Adjunct for Management of Opioid Dependence Syndrome: A Nine-Month Follow-Up Case Report. Case Rep Psychiatry 2021; 2021:5541995. [PMID: 34336342 PMCID: PMC8324390 DOI: 10.1155/2021/5541995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 06/29/2021] [Indexed: 11/17/2022] Open
Abstract
Opioid dependence syndrome (ODS) is a chronic relapsing remitting condition associated with significant impairment and mortality risk. Opioid substitution therapy is used worldwide, but long-term retention rates are low and there is risk of misuse and diversion. Yoga practice can improve quality of life, reduce chronic pain, and enhance endogenous opioids (beta-endorphins). We describe a case of ODS where yoga was added to the conventional management and who was followed up for 9 months. Assessments were done for clinical symptoms, urine drug screening, plasma beta-endorphins, and Buprenorphine dosage. We observed an improvement in his clinical symptoms and reduction in the requirements for Buprenorphine. A slight increase in basal plasma beta-endorphin levels was also observed at the 9-month follow-up (from 2.02 pmol/L at baseline to 6.51 pmol/L).
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9
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Schmidt A, Vogel M, Baumgartner S, Wiesbeck GA, Lang U, Borgwardt S, Walter M. Brain volume changes after long-term injectable opioid treatment: A longitudinal voxel-based morphometry study. Addict Biol 2021; 26:e12970. [PMID: 33000891 DOI: 10.1111/adb.12970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 07/31/2020] [Accepted: 09/16/2020] [Indexed: 11/28/2022]
Abstract
Clinical research has demonstrated the efficacy of injectable opioid treatment for long-term, treatment-refractory opioid-dependent patients. It has been hypothesized that compulsive drug use is particularly associated with neuroplasticity changes in the networks corresponding to withdrawal/negative affect and preoccupation/anticipation rather than binge/intoxication. However, as yet, no study has investigated the effect of long-term opioid treatment on key regions within these networks. Magnetic resonance imaging (MRI) was used to assess brain volumes changes during long-term (approximately 9 years) injectable opioid agonist treatment with diacetylmorphine (DAM) in 22 patients with opioid use disorder. Voxel-based morphometry was applied to detect volumetric changes within the networks of binge/intoxication (ventral/dorsal striatum, globus pallidus and thalamus), withdrawal/negative affect (amygdala and ventral striatum) and preoccupation/anticipation (hippocampus, orbitofrontal and anterior cingulate cortex). The relationships between significant volume changes and features of opioid use disorder were tested using Pearson correlation. Long-term opioid agonist treatment was associated with the enlargement of the right caudate nucleus, which was related to the duration of opioid use disorder. In contrast, reduced volume in the right amygdala, anterior cingulate cortex and orbitofrontal cortex were found that were related to opioid dose, onset of opioid consumption and state anxiety. These findings suggest that long-term opioid agonist treatment is related to structural changes in key brain regions underlying binge/intoxication, withdrawal/negative affect and preoccupation/anticipation, suggesting sustained interaction between these systems.
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Affiliation(s)
- André Schmidt
- Department of Psychiatry (UPK) University of Basel, Department of Psychiatry (UPK) Basel Switzerland
| | - Marc Vogel
- Department of Psychiatry (UPK) University of Basel, Department of Psychiatry (UPK) Basel Switzerland
- Psychiatric Services of Thurgovia Psychiatric Hospital Münsterlingen Münsterlingen Switzerland
| | - Sophie Baumgartner
- Department of Psychiatry (UPK) University of Basel, Department of Psychiatry (UPK) Basel Switzerland
| | - Gerhard A. Wiesbeck
- Department of Psychiatry (UPK) University of Basel, Department of Psychiatry (UPK) Basel Switzerland
| | - Undine Lang
- Department of Psychiatry (UPK) University of Basel, Department of Psychiatry (UPK) Basel Switzerland
| | - Stefan Borgwardt
- Department of Psychiatry (UPK) University of Basel, Department of Psychiatry (UPK) Basel Switzerland
- Department of Psychiatry and Psychotherapy University of Lübeck Lübeck Germany
| | - Marc Walter
- Department of Psychiatry (UPK) University of Basel, Department of Psychiatry (UPK) Basel Switzerland
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10
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Zhu X, Suarez-Jimenez B, Zilcha-Mano S, Lazarov A, Arnon S, Lowell AL, Bergman M, Ryba M, Hamilton AJ, Hamilton JF, Turner JB, Markowitz JC, Fisher PW, Neria Y. Neural changes following equine-assisted therapy for posttraumatic stress disorder: A longitudinal multimodal imaging study. Hum Brain Mapp 2021; 42:1930-1939. [PMID: 33547694 PMCID: PMC7978114 DOI: 10.1002/hbm.25360] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 01/09/2021] [Accepted: 01/21/2021] [Indexed: 12/17/2022] Open
Abstract
Background While effective treatments for posttraumatic stress disorder (PTSD) exist, many individuals, including military personnel and veterans fail to respond to them. Equine‐assisted therapy (EAT), a novel PTSD treatment, may complement existing PTSD interventions. This study employs longitudinal neuro‐imaging, including structural magnetic resonance imaging (sMRI), resting state‐fMRI (rs‐fMRI), and diffusion tensor imaging (DTI), to determine mechanisms and predictors of EAT outcomes for PTSD. Method Nineteen veterans with PTSD completed eight weekly group sessions of EAT undergoing multimodal MRI assessments before and after treatment. Clinical assessments were conducted at baseline, post‐treatment and at 3‐month follow‐up. Results At post‐treatment patients showed a significant increase in caudate functional connectivity (FC) and reduction in the gray matter density of the thalamus and the caudate. The increase of caudate FC was positively associated with clinical improvement seen immediately at post‐treatment and at 3‐month follow‐up. In addition, higher baseline caudate FC was associated with greater PTSD symptom reduction post‐treatment. Conclusions This exploratory study is the first to demonstrate that EAT can affect functional and structural changes in the brains of patients with PTSD. The findings suggest that EAT may target reward circuitry responsiveness and produce a caudate pruning effect from pre‐ to post‐treatment.
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Affiliation(s)
- Xi Zhu
- Department of Psychiatry, Columbia University, New York, New York, USA.,New York State Psychiatric Institute, New York, New York, USA
| | - Benjamin Suarez-Jimenez
- Department of Psychiatry, Columbia University, New York, New York, USA.,New York State Psychiatric Institute, New York, New York, USA.,Neuroscience Department, University of Rochester, Rochester, New York, USA
| | | | - Amit Lazarov
- Department of Psychiatry, Columbia University, New York, New York, USA.,School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Shay Arnon
- New York State Psychiatric Institute, New York, New York, USA
| | - Ari L Lowell
- Department of Psychiatry, Columbia University, New York, New York, USA.,New York State Psychiatric Institute, New York, New York, USA.,Memphis Veterans Administration Medical Center, Memphis, Tennessee, USA
| | - Maja Bergman
- New York State Psychiatric Institute, New York, New York, USA
| | - Matthew Ryba
- New York State Psychiatric Institute, New York, New York, USA
| | | | - Jane F Hamilton
- Rancho Bosque Equestrian Center of Excellence, House Hamilton Business Group, PLC, Tucson, Arizona, USA
| | - J Blake Turner
- Department of Psychiatry, Columbia University, New York, New York, USA.,New York State Psychiatric Institute, New York, New York, USA
| | - John C Markowitz
- Department of Psychiatry, Columbia University, New York, New York, USA.,New York State Psychiatric Institute, New York, New York, USA
| | - Prudence W Fisher
- Department of Psychiatry, Columbia University, New York, New York, USA.,New York State Psychiatric Institute, New York, New York, USA
| | - Yuval Neria
- Department of Psychiatry, Columbia University, New York, New York, USA.,New York State Psychiatric Institute, New York, New York, USA.,Department of Epidemiology, Columbia University Irving Medical Center, New York, New York, USA
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11
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Yang W, Wang S, Shao Z, Yang R, Tang F, Luo J, Yan C, Zhang J, Chen J, Liu J, Yuan K. Novel circuit biomarker of impulsivity and craving in male heroin-dependent individuals. Drug Alcohol Depend 2021; 219:108485. [PMID: 33360853 DOI: 10.1016/j.drugalcdep.2020.108485] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 11/14/2020] [Accepted: 11/17/2020] [Indexed: 01/12/2023]
Abstract
INTRODUCTION The striatum mediates reward processing in addiction, and previous fMRI (functional Magnetic Resonance Imaging) studies have revealed abnormal striatofrontal functional connectivity in heroin addiction. However, little is known about whether there is abnormal structural connectivity of the striatal circuit in heroin addiction. This study investigated the structural connectivity of striatal circuits in abstinent heroin-dependent individuals (HDIs) without methadone treatment. METHODS Forty-three (age: 38.8 ± 7.1) male HDIs and twenty-one (age: 42.4 ± 7.9) matched healthy controls underwent high-resolution T1 and whole-brain diffusion tensor imaging (64 directions) magnetic resonance imaging. Connectivity-based seed classification probabilistic tractography was used to detect the tract strengths of striatal circuits with 10 a priori target masks. Tract strengths were compared between groups and correlated with impulsivity behavior, evaluated using the Barratt Impulsivity Scale (BIS), and craving, measured on visual analogue scale (VAS). RESULTS HDIs showed significantly weaker tract strength of the left striatum-medial orbitofrontal cortex (mOFC) (Bonferroni corrected, p < 0.05/20 = 0.0025) and significantly higher BIS total, attention, motor, and non-planning scores (Bonferroni corrected, p < 0.05/4 = 0.0125) than controls. In HDIs, negative correlations were observed between the left striatum- mOFC tract strengths and the BIS total, attention and non-planning scores (r1=-0.410, p1 = 0.005; r2=-0.432, p2 = 0.003; r3=-0.506, p3<0.001) and between the right striatum-posterior cingulate cortex (PCC) tract strengths and craving scores (r=-0.433, p = 0.009) in HDIs. CONCLUSION HDIs displayed decreased structural connectivity of the striatum-mOFC circuit and higher impulsivity. Higher impulsive behavior was associated with decreased left striatal circuit connectivity. These findings suggest that the striatal circuit tract strengths might be a novel potential biomarker in heroin and, potentially, general opioid addiction.
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Affiliation(s)
- Wenhan Yang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Shicong Wang
- School of Life Science and Technology, Xidian University, Xi'an, 710071, China
| | - Ziqiang Shao
- School of Life Science and Technology, Xidian University, Xi'an, 710071, China
| | - Ru Yang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Fei Tang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Jing Luo
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Cui Yan
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Jun Zhang
- Hunan Judicial Police Academy, Changsha, China
| | - Jiyuan Chen
- Hunan Judicial Police Academy, Changsha, China
| | - Jun Liu
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China.
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, 710071, China; Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, China.
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12
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Neria Y. Functional Neuroimaging in PTSD: From Discovery of Underlying Mechanisms to Addressing Diagnostic Heterogeneity. Am J Psychiatry 2021; 178:128-135. [PMID: 33517750 DOI: 10.1176/appi.ajp.2020.20121727] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Yuval Neria
- Departments of Psychiatry and Epidemiology and New York State Psychiatric Institute, Columbia University Irving Medical Center, New York
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13
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Zilcha-Mano S, Zhu X, Suarez-Jimenez B, Pickover A, Tal S, Such S, Marohasy C, Chrisanthopoulos M, Salzman C, Lazarov A, Neria Y, Rutherford BR. Diagnostic and Predictive Neuroimaging Biomarkers for Posttraumatic Stress Disorder. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 5:688-696. [PMID: 32507508 PMCID: PMC7354213 DOI: 10.1016/j.bpsc.2020.03.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Revised: 03/29/2020] [Accepted: 03/30/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND Comorbidity between posttraumatic stress disorder (PTSD) and major depressive disorder (MDD) has been commonly overlooked by studies examining resting-state functional connectivity patterns in PTSD. The current study used a data-driven approach to identify resting-state functional connectivity biomarkers to 1) differentiate individuals with PTSD (with or without MDD) from trauma-exposed healthy control subjects (TEHCs), 2) compare individuals with PTSD alone with those with comorbid PTSD+MDD, and 3) explore the clinical utility of the identified biomarkers by testing their associations with clinical symptoms and treatment response. METHODS Resting-state magnetic resonance images were obtained from 51 individuals with PTSD alone, 52 individuals with PTSD+MDD, and 76 TEHCs. Of the 103 individuals with PTSD, 55 were enrolled in prolonged exposure treatment. A support vector machine model was used to identify resting-state functional connectivity biomarkers differentiating individuals with PTSD (with or without MDD) from TEHCs and differentiating individuals with PTSD alone from those with PTSD+MDD. The associations between the identified features and symptomatology were tested with Pearson correlations. RESULTS The support vector machine model achieved 70.6% accuracy in discriminating between individuals with PTSD and TEHCs and achieved 76.7% accuracy in discriminating between individuals with PTSD alone and those with PTSD+MDD for out-of-sample prediction. Within-network connectivity in the executive control network, prefrontal network, and salience network discriminated individuals with PTSD from TEHCs. The basal ganglia network played an important role in differentiating individuals with PTSD alone from those with PTSD+MDD. PTSD scores were inversely correlated with within-executive control network connectivity (p < .001), and executive control network connectivity was positively correlated with treatment response (p < .001). CONCLUSIONS Results suggest that unique brain-based abnormalities differentiate individuals with PTSD from TEHCs, differentiate individuals with PTSD from those with PTSD+MDD, and demonstrate clinical utility in predicting levels of symptomatology and treatment response.
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Affiliation(s)
- Sigal Zilcha-Mano
- Department of Psychology, University of Haifa, Mount Carmel, Haifa, Israel.
| | - Xi Zhu
- Department of Psychiatry, Columbia University, New York, New York; New York State Psychiatric Institute, Columbia University Medical Center, New York, New York
| | - Benjamin Suarez-Jimenez
- Department of Psychiatry, Columbia University, New York, New York; New York State Psychiatric Institute, Columbia University Medical Center, New York, New York
| | - Alison Pickover
- Department of Psychiatry, Columbia University, New York, New York; New York State Psychiatric Institute, Columbia University Medical Center, New York, New York
| | - Shachaf Tal
- Department of Psychology, University of Haifa, Mount Carmel, Haifa, Israel
| | - Sara Such
- New York State Psychiatric Institute, Columbia University Medical Center, New York, New York
| | - Caroline Marohasy
- New York State Psychiatric Institute, Columbia University Medical Center, New York, New York
| | - Marika Chrisanthopoulos
- New York State Psychiatric Institute, Columbia University Medical Center, New York, New York; Columbia University Vagelos College of Physicians and Surgeons, New York, New York
| | - Chloe Salzman
- New York State Psychiatric Institute, Columbia University Medical Center, New York, New York; Columbia University Vagelos College of Physicians and Surgeons, New York, New York
| | - Amit Lazarov
- School of Psychological Sciences, Tel-Aviv University, Tel-Aviv, Israel; Department of Psychiatry, Columbia University, New York, New York
| | - Yuval Neria
- Department of Psychiatry, Columbia University, New York, New York; New York State Psychiatric Institute, Columbia University Medical Center, New York, New York
| | - Bret R Rutherford
- New York State Psychiatric Institute, Columbia University Medical Center, New York, New York; Columbia University Vagelos College of Physicians and Surgeons, New York, New York
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14
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Colledge F, Cody R, Buchner UG, Schmidt A, Pühse U, Gerber M, Wiesbeck G, Lang UE, Walter M. Excessive Exercise-A Meta-Review. Front Psychiatry 2020; 11:521572. [PMID: 33329076 PMCID: PMC7714788 DOI: 10.3389/fpsyt.2020.521572] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 10/26/2020] [Indexed: 12/21/2022] Open
Abstract
Background and Aims: While a number of studies have reported on individuals who exercise excessively, and feel unable to stop despite negative consequences, there is still insufficient evidence to categorize exercise as an addictive disorder. The aim of this meta-review is to summarize the published articles and to compile a list of symptoms reported in the qualitative literature in conjunction with excessive exercise. This list is compared with the DSM-5 criteria for gambling disorder, and initial diagnostic criteria for exercise addiction are suggested. Methods: The databases MEDLINE, Web of Science and PsycInfo were searched for qualitative studies or case reports, in which excessive exercise was the main focus. All symptoms reported in conjunction with excessive exercise were extracted from each study and documented. Symptoms were also compared to the diagnostic criteria for gambling disorder. Results: Seventeen studies were included in the review, yielding 56 distinct symptoms. The Critical Appraisal Skills Program tool showed that the majority of the studies were of acceptable quality. Exercise-related symptoms corresponded with seven of the nine DSM-5 criteria for gambling disorder. The ten suggested criteria for exercise addiction are: increasing volume, negative affect, inability to reduce, preoccupation, exercise as coping, continuation despite illness/injury, minimization, jeopardized relationships, continuation despite recognizing consequences, guilt when exercise is missed. Discussion: Our results suggest that excessive exercise may constitute a behavioral addiction, based on the criteria of the DSM-5. Conclusions: Subsequent studies should aim to systematically classify symptoms of excessive exercise; in addition, it should be noted that basic questionnaires may be need to be supplemented with detailed clinical examinations.
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Affiliation(s)
- Flora Colledge
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Robyn Cody
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Ursula G Buchner
- Deutsche Hochschule für Gesundheit und Sport GmbH, Ismaning, Germany
| | - André Schmidt
- University Psychiatric Clinics, University of Basel, Basel, Switzerland
| | - Uwe Pühse
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Markus Gerber
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Gerhard Wiesbeck
- University Psychiatric Clinics, University of Basel, Basel, Switzerland
| | - Undine E Lang
- University Psychiatric Clinics, University of Basel, Basel, Switzerland
| | - Marc Walter
- University Psychiatric Clinics, University of Basel, Basel, Switzerland
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15
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Zhang R, Volkow ND. Brain default-mode network dysfunction in addiction. Neuroimage 2019; 200:313-331. [DOI: 10.1016/j.neuroimage.2019.06.036] [Citation(s) in RCA: 131] [Impact Index Per Article: 26.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 06/14/2019] [Accepted: 06/17/2019] [Indexed: 12/21/2022] Open
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16
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Altered brain functional networks in Internet gaming disorder: independent component and graph theoretical analysis under a probability discounting task. CNS Spectr 2019; 24:544-556. [PMID: 30968814 DOI: 10.1017/s1092852918001505] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVES Internet gaming disorder (IGD) is becoming a matter of concern around the world. However, the neural mechanism underlying IGD remains unclear. The purpose of this paper is to explore the differences between the neuronal network of IGD participants and that of recreational Internet game users (RGU). METHODS Imaging and behavioral data were collected from 18 IGD participants and 20 RGU under a probability discounting task. The independent component analysis (ICA) and graph theoretical analysis (GTA) were used to analyze the data. RESULTS Behavioral results showed the IGD participants, compared to RGU, prefer risky options to the fixed ones and spent less time in making risky decisions. In imaging results, the ICA analysis revealed that the IGD participants showed stronger functional connectivity (FC) in reward circuits and executive control network, as well as lower FC in anterior salience network (ASN) than RGU; for the GTA results, the IGD participants showed impaired FC in reward circuits and ASN when compared with RGU. CONCLUSIONS These results suggest that IGD participants were more sensitive to rewards, and they were more impulsive in decision-making as they could not control their impulsivity effectively. This might explain why IGD participants cannot stop their gaming behaviors even when facing severe negative consequences.
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17
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Smallwood RF, Price LR, Campbell JL, Garrett AS, Atalla SW, Monroe TB, Aytur SA, Potter JS, Robin DA. Network Alterations in Comorbid Chronic Pain and Opioid Addiction: An Exploratory Approach. Front Hum Neurosci 2019; 13:174. [PMID: 31191279 PMCID: PMC6548857 DOI: 10.3389/fnhum.2019.00174] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Accepted: 05/13/2019] [Indexed: 12/17/2022] Open
Abstract
The comorbidity of chronic pain and opioid addiction is a serious problem that has been growing with the practice of prescribing opioids for chronic pain. Neuroimaging research has shown that chronic pain and opioid dependence both affect brain structure and function, but this is the first study to evaluate the neurophysiological alterations in patients with comorbid chronic pain and addiction. Eighteen participants with chronic low back pain and opioid addiction were compared with eighteen age- and sex-matched healthy individuals in a pain-induction fMRI task. Unified structural equation modeling (SEM) with Lagrange multiplier (LM) testing yielded a network model of pain processing for patient and control groups based on 19 a priori defined regions. Tests of differences between groups on specific regression parameters were determined on a path-by-path basis using z-tests corrected for the number of comparisons. Patients with the chronic pain and addiction comorbidity had increased connection strengths; many of these connections were interhemispheric and spanned regions involved in sensory, affective, and cognitive processes. The affected regions included those that are commonly altered in chronic pain or addiction alone, indicating that this comorbidity manifests with neurological symptoms of both disorders. Understanding the neural mechanisms involved in the comorbidity is crucial to finding a comprehensive treatment, rather than treating the symptoms individually.
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Affiliation(s)
- Rachel F Smallwood
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Larry R Price
- Metholology, Measurement and Statistical Analysis, Texas State University, San Marcos, TX, United States
| | - Jenna L Campbell
- Department of Communication Sciences and Disorders, University of New Hampshire, Durham, NH, United States
| | - Amy S Garrett
- Department of Psychiatry, University of Texas Health Science Center San Antonio, San Antonio, TX, United States
| | - Sebastian W Atalla
- College of Nursing, The Ohio State University, Columbus, OH, United States
| | - Todd B Monroe
- College of Nursing, The Ohio State University, Columbus, OH, United States
| | - Semra A Aytur
- Department of Health Management and Policy, University of New Hampshire, Durham, NH, United States
| | - Jennifer S Potter
- Department of Psychiatry, University of Texas Health Science Center San Antonio, San Antonio, TX, United States
| | - Donald A Robin
- Department of Communication Sciences and Disorders, University of New Hampshire, Durham, NH, United States.,Interdisciplinary Program in Neuroscience and Behavior, University of New Hampshire, Durham, NH, United States
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18
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Hampton WH, Hanik IM, Olson IR. Substance abuse and white matter: Findings, limitations, and future of diffusion tensor imaging research. Drug Alcohol Depend 2019; 197:288-298. [PMID: 30875650 PMCID: PMC6440853 DOI: 10.1016/j.drugalcdep.2019.02.005] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 01/14/2019] [Accepted: 02/07/2019] [Indexed: 10/27/2022]
Abstract
Individuals who abuse substances often differ from nonusers in their brain structure. Substance abuse and addiction is often associated with atrophy and pathology of grey matter, but much less is known about the role of white matter, which constitutes over half of human brain volume. Diffusion tensor imaging (DTI), a method for non-invasively estimating white matter, is increasingly being used to study addiction and substance abuse. Here we review recent DTI studies of major substances of abuse (alcohol, opiates, cocaine, cannabis, and nicotine substance abuse) to examine the relationship, specificity, causality, and permanence of substance-related differences in white matter microstructure. Across substance, users tended to exhibit differences in the microstructure of major fiber pathways, such as the corpus callosum. The direction of these differences, however, appeared substance-dependent. The subsample of longitudinal studies reviewed suggests that substance abuse may cause changes in white matter, though it is unclear to what extent such alterations are permanent. While collectively informative, some studies reviewed were limited by methodological and technical approach. We therefore also provide methodological guidance for future research using DTI to study substance abuse.
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Affiliation(s)
- William H Hampton
- Department of Psychology, College of Liberal Arts, Temple University, United States
| | - Italia M Hanik
- Department of Psychology, College of Liberal Arts, Temple University, United States
| | - Ingrid R Olson
- Department of Psychology, College of Liberal Arts, Temple University, United States.
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19
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Moningka H, Lichenstein S, Worhunsky PD, DeVito EE, Scheinost D, Yip SW. Can neuroimaging help combat the opioid epidemic? A systematic review of clinical and pharmacological challenge fMRI studies with recommendations for future research. Neuropsychopharmacology 2019; 44:259-273. [PMID: 30283002 PMCID: PMC6300537 DOI: 10.1038/s41386-018-0232-4] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 09/11/2018] [Accepted: 09/18/2018] [Indexed: 02/04/2023]
Abstract
The current opioid epidemic is an urgent public health problem, with enormous individual, societal, and healthcare costs. Despite effective, evidence-based treatments, there is significant individual variability in treatment responses and relapse rates are high. In addition, the neurobiology of opioid-use disorder (OUD) and its treatment is not well understood. This review synthesizes published fMRI literature relevant to OUD, with an emphasis on findings related to opioid medications and treatment, and proposes areas for further research. We conducted a systematic literature review of Medline and Psychinfo to identify (i) fMRI studies comparing OUD and control participants; (ii) studies related to medication, treatment, abstinence or withdrawal effects in OUD; and (iii) studies involving manipulation of the opioid system in healthy individuals. Following application of exclusionary criteria (e.g., insufficient sample size), 45 studies were retained comprising data from ~1400 individuals. We found convergent evidence that individuals with OUD display widespread heightened neural activation to heroin cues. This pattern is potentiated by heroin, attenuated by medication-assisted treatments for opioids, predicts treatment response, and is reduced following extended abstinence. Nonetheless, there is a paucity of literature examining neural characteristics of OUD and its treatment. We discuss limitations of extant research and identify critical areas for future neuroimaging studies, including the urgent need for studies examining prescription opioid users, assessing sex differences and utilizing a wider range of clinically relevant task-based fMRI paradigms across different stages of addiction.
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Affiliation(s)
- Hestia Moningka
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Sarah Lichenstein
- Yale School of Medicine, Radiology and Bioimaging Sciences, New Haven, CT, 06510, USA
| | - Patrick D Worhunsky
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Elise E DeVito
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Dustin Scheinost
- Yale School of Medicine, Radiology and Bioimaging Sciences, New Haven, CT, 06510, USA
| | - Sarah W Yip
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA.
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20
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Griffanti L, Stratmann P, Rolinski M, Filippini N, Zsoldos E, Mahmood A, Zamboni G, Douaud G, Klein JC, Kivimäki M, Singh-Manoux A, Hu MT, Ebmeier KP, Mackay CE. Exploring variability in basal ganglia connectivity with functional MRI in healthy aging. Brain Imaging Behav 2018; 12:1822-1827. [PMID: 29442271 PMCID: PMC6302142 DOI: 10.1007/s11682-018-9824-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Changes in functional connectivity (FC) measured using resting state fMRI within the basal ganglia network (BGN) have been observed in pathologies with altered neurotransmitter systems and conditions involving motor control and dopaminergic processes. However, less is known about non-disease factors affecting FC in the BGN. The aim of this study was to examine associations of FC within the BGN with dopaminergic processes in healthy older adults. We explored the relationship between FC in the BGN and variables related to demographics, impulsive behavior, self-paced tasks, mood, and motor correlates in 486 participants in the Whitehall-II imaging sub-study using both region-of-interest- and voxel-based approaches. Age was the only correlate of FC in the BGN that was consistently significant with both analyses. The observed adverse effect of aging on FC may relate to alterations of the dopaminergic system, but no unique dopamine-related function seemed to have a link with FC beyond those detectable in and linearly correlated with healthy aging.
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Affiliation(s)
- Ludovica Griffanti
- Centre for the functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Oxford Parkinson's Disease Centre (OPDC), Oxford, UK
| | - Philipp Stratmann
- Department of Psychiatry, University of Oxford, Oxford, UK
- Department of Informatics, Germany and Institute of Robotics and Mechatronics, German Aerospace Center (DLR), Technical University of Munich, Wessling, Germany
| | - Michal Rolinski
- Oxford Parkinson's Disease Centre (OPDC), Oxford, UK
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Institute of Clinical Neurosciences, University of Bristol, Bristol, UK
| | - Nicola Filippini
- Centre for the functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Enikő Zsoldos
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Abda Mahmood
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Giovanna Zamboni
- Centre for the functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Gwenaëlle Douaud
- Centre for the functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Johannes C Klein
- Centre for the functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Oxford Parkinson's Disease Centre (OPDC), Oxford, UK
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Archana Singh-Manoux
- Department of Epidemiology and Public Health, University College London, London, UK
- INSERM, U 1018, Hôpital Paul-Brousse, Villejuif, France
| | - Michele T Hu
- Oxford Parkinson's Disease Centre (OPDC), Oxford, UK
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | | | - Clare E Mackay
- Oxford Parkinson's Disease Centre (OPDC), Oxford, UK.
- Oxford Health NHS Foundation Trust, Oxford, UK.
- Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK.
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Abstract
This paper is the thirty-ninth consecutive installment of the annual review of research concerning the endogenous opioid system. It summarizes papers published during 2016 that studied the behavioral effects of molecular, pharmacological and genetic manipulation of opioid peptides, opioid receptors, opioid agonists and opioid antagonists. The particular topics that continue to be covered include the molecular-biochemical effects and neurochemical localization studies of endogenous opioids and their receptors related to behavior, and the roles of these opioid peptides and receptors in pain and analgesia, stress and social status, tolerance and dependence, learning and memory, eating and drinking, drug abuse and alcohol, sexual activity and hormones, pregnancy, development and endocrinology, mental illness and mood, seizures and neurologic disorders, electrical-related activity and neurophysiology, general activity and locomotion, gastrointestinal, renal and hepatic functions, cardiovascular responses, respiration and thermoregulation, and immunological responses.
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Affiliation(s)
- Richard J Bodnar
- Department of Psychology and CUNY Neuroscience Collaborative, Queens College, City University of New York, Flushing, NY 11367, United States.
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22
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Zhang JT, Ma SS, Li CSR, Liu L, Xia CC, Lan J, Wang LJ, Liu B, Yao YW, Fang XY. Craving behavioral intervention for internet gaming disorder: remediation of functional connectivity of the ventral striatum. Addict Biol 2018; 23:337-346. [PMID: 27894158 DOI: 10.1111/adb.12474] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Revised: 10/11/2016] [Accepted: 10/13/2016] [Indexed: 12/14/2022]
Abstract
Psychobehavioral intervention is an effective treatment of Internet addiction, including Internet gaming disorder (IGD). However, the neural mechanisms underlying its efficacy remain unclear. Cortical-ventral striatum (VS) circuitry is a common target of psychobehavioral interventions in drug addiction, and cortical-VS dysfunction has been reported in IGD; hence, the primary aim of the study was to investigate how the VS circuitry responds to psychobehavioral interventions in IGD. In a cross-sectional study, we examined resting-state functional connectivity of the VS in 74 IGD subjects (IGDs) and 41 healthy controls (HCs). In a follow-up craving behavioral intervention (CBI) study, of the 74 IGD subjects, 20 IGD subjects received CBI (CBI+) and 16 IGD subjects did not (CBI-). All participants were scanned twice with similar time interval to assess the effects of CBI. IGD subjects showed greater resting-state functional connectivity of the VS to left inferior parietal lobule (lIPL), right inferior frontal gyrus and left middle frontal gyrus, in positive association with the severity of IGD. Moreover, compared with CBI-, CBI+ showed significantly greater decrease in VS-lIPL connectivity, along with amelioration in addiction severity following the intervention. These findings demonstrated that functional connectivity between VS and lIPL, each presumably mediating gaming craving and attentional bias, may be a potential biomarker of the efficacy of psychobehavioral intervention. These results also suggested that non-invasive techniques such as transcranial magnetic or direct current stimulation targeting the VS-IPL circuitry may be used in the treatment of Internet gaming disorders.
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Affiliation(s)
- Jin-Tao Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research; Beijing Normal University; Beijing China
- Center for Collaboration and Innovation in Brain and Learning Sciences; Beijing Normal University; Beijing China
| | - Shan-Shan Ma
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research; Beijing Normal University; Beijing China
| | - Chiang-Shan R. Li
- Department of Psychiatry and Neuroscience; Yale University School of Medicine; New Haven CT USA
| | - Lu Liu
- Institute of Developmental Psychology; Beijing Normal University; Beijing China
| | - Cui-Cui Xia
- Students Counselling Center; Beijing Normal University; Beijing China
| | - Jing Lan
- Institute of Developmental Psychology; Beijing Normal University; Beijing China
| | - Ling-Jiao Wang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research; Beijing Normal University; Beijing China
| | - Ben Liu
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research; Beijing Normal University; Beijing China
| | - Yuan-Wei Yao
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research; Beijing Normal University; Beijing China
| | - Xiao-Yi Fang
- Institute of Developmental Psychology; Beijing Normal University; Beijing China
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23
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Zidda F, Andoh J, Pohlack S, Winkelmann T, Dinu-Biringer R, Cavalli J, Ruttorf M, Nees F, Flor H. Default mode network connectivity of fear- and anxiety-related cue and context conditioning. Neuroimage 2017; 165:190-199. [PMID: 29050910 DOI: 10.1016/j.neuroimage.2017.10.024] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Revised: 08/28/2017] [Accepted: 10/12/2017] [Indexed: 01/15/2023] Open
Abstract
Classical fear conditioning is an important mechanism to adequately respond and adapt to environmental threats and has been related to the development of fear and anxiety. Both cue and context conditioning have been studied but little is known about their relation to relevant resting state networks. The default mode network (DMN) has been reported to be involved in affective learning and described as facilitating a state of readiness in responding to environmental changes. We examined resting state brain connectivity patterns of the default mode network (DMN) in 119 healthy volunteers. Specifically, we carried out correlation analyses between the DMN and skin conductance responses (SCRs) as well as arousal, valence and contingency ratings during learning. In addition, we examined the role of trait anxiety. Two different DMN patterns were identified in which stronger connectivity was linked to lower differential SCRs during fear and anxiety learning. One was related to cue conditioning and involved the amygdala and the medial prefrontal cortex, and one was associated with context conditioning and included the hippocampal formation and sensorimotor areas. These results were replicated in an independent sample. Functional connectivity of the DMN with these key regions at rest was also predictive of trait anxiety but this association could not be replicated in the second sample. We showed that DMN connectivity is differently associated with cued versus contextual learning mechanisms. Uncovering individual differences in baseline network connectivity of the DMN with these key regions might lead to a better understanding of fear and anxiety. Such findings could indeed help to identify vulnerability factors linked to network alterations at rest with dysregulation of learning processes involved in the pathophysiology of stress and anxiety disorders.
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Affiliation(s)
- Francesca Zidda
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Jamila Andoh
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Sebastian Pohlack
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Tobias Winkelmann
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Ramona Dinu-Biringer
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Juliana Cavalli
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Michaela Ruttorf
- Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Frauke Nees
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Germany; Department of Psychology, Faculty for Social Sciences, University of Mannheim, Germany.
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24
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Qiu YW, Jiang GH, Ma XF, Su HH, Lv XF, Zhuo FZ. Aberrant interhemispheric functional and structural connectivity in heroin-dependent individuals. Addict Biol 2017; 22:1057-1067. [PMID: 26969418 DOI: 10.1111/adb.12387] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2015] [Revised: 01/09/2016] [Accepted: 02/16/2016] [Indexed: 02/04/2023]
Abstract
Models of heroin addiction emphasize the role of disrupted frontostriatal circuitry supporting cognitive control processes. However, heroin addiction-related alterations in functional and structural interactions among brain regions, especially between the cerebral hemispheres, are rarely examined directly. Resting-state functional magnetic resonance imaging (fMRI) approaches, which reveal patterns of coherent spontaneous fluctuations in the fMRI signal, offer a means to quantify directly functional interactions between the hemispheres. The corpus callosum (CC), which connects homologous regions of the cortex, is the major conduit for information transfer between the cerebral hemispheres and represents a structural connectivity index between hemispheres. We compared interhemispheric voxel-mirrored homotopic connectivity (VMHC) and CC volume between 45 heroin dependent-individuals (HDIs) and 35 non-addict individuals. We observed significant reduction of VMHC in a number of regions, particularly the striatum/limbic system regions, and significant decrease in splenium and genu sub-regions of CC in HDI. Importantly, within HDI, VMHC in the dorsal lateral prefrontal cortex (DLPFC) correlated with genu CC volume, VMHC in the putamen, VMHC in the DLPFC and genu CC volume and splenium CC volume were negatively correlated with heroin duration and impulsivity traits. Further analyses demonstrated that impairment of VMHC of bilateral DLPFC partially mediated the association between genu CC volumes decreased and increased impulsivity in HDI. Our results reveal a substantial impairment of interhemispheric coordination in the HDI. Further, interhemispheric connectivity correlated with the duration of heroin abuse and higher impulsivity behavior in HDI. Our findings provide insight into a heroin addicts' related pathophysiology and reinforce an integrative view of the interhemispheric cerebral functional and structural organization.
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Affiliation(s)
- Ying-wei Qiu
- Department of Medical Imaging; Guangdong No.2 Provincial People's Hospital; China
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program; Duke-National University of Singapore Graduate Medical School; Singapore
- Department of Medical Imaging, Zhongshan Ophthalmic Center; Sun Yat-sen University; China
| | - Gui-hua Jiang
- Department of Medical Imaging; Guangdong No.2 Provincial People's Hospital; China
| | - Xiao-fen Ma
- Department of Medical Imaging; Guangdong No.2 Provincial People's Hospital; China
| | - Huan-Huan Su
- Department of Medical Imaging; Guangdong No.2 Provincial People's Hospital; China
| | - Xiao-fei Lv
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine; China
| | - Fu-zhen Zhuo
- Addiction Medicine Division; Guangdong No.2 Provincial People's Hospital; China
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25
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Wang Y, Wu L, Zhou H, Lin X, Zhang Y, Du X, Dong G. Impaired executive control and reward circuit in Internet gaming addicts under a delay discounting task: independent component analysis. Eur Arch Psychiatry Clin Neurosci 2017; 267:245-255. [PMID: 27506757 DOI: 10.1007/s00406-016-0721-6] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2016] [Accepted: 08/01/2016] [Indexed: 12/28/2022]
Abstract
This study utilized independent component analysis to explore the abnormal functional connectivity (FC) in male participants with Internet gaming disorder (IGD). Functional magnetic resonance imaging and behavioral data were collected from 21 healthy controls (HC) and 18 IGD patients when they were performing a delay discounting task. Behavioral results revealed that the IGD patients showed higher delay discounting rates than HC. Two networks were found to be associated with IGD: (1) the executive control network containing the anterior cingulate cortex and the medial and superior frontal gyrus, and (2) the basal ganglia network containing the lentiform nucleus. Comparing to HC, IGD exhibited stronger FC when selecting small and now options. In addition, the delay discounting rates were positively correlated with the modulation of the two networks and the reaction time. The results suggested that the IGD patients have enhanced sensitivity to reward and decreased ability to control their impulsivity effectively, which leads to myopic decision making.
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Affiliation(s)
- Yifan Wang
- Department of Psychology, Zhejiang Normal University, 688 Yingbin Road, Jinhua, 321004, Zhejiang Province, People's Republic of China
| | - Lingdan Wu
- Department of Psychology, University of Konstanz, Constance, Germany
| | - Hongli Zhou
- Department of Psychology, Zhejiang Normal University, 688 Yingbin Road, Jinhua, 321004, Zhejiang Province, People's Republic of China
| | - Xiao Lin
- Peking-Tsinghua Center for Life Science, Peking University, Beijing, People's Republic of China
| | - Yifen Zhang
- Department of Psychology, Zhejiang Normal University, 688 Yingbin Road, Jinhua, 321004, Zhejiang Province, People's Republic of China
| | - Xiaoxia Du
- Department of Physics, Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, People's Republic of China
| | - Guangheng Dong
- Department of Psychology, Zhejiang Normal University, 688 Yingbin Road, Jinhua, 321004, Zhejiang Province, People's Republic of China.
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26
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Khalili-Mahani N, Rombouts SARB, van Osch MJP, Duff EP, Carbonell F, Nickerson LD, Becerra L, Dahan A, Evans AC, Soucy JP, Wise R, Zijdenbos AP, van Gerven JM. Biomarkers, designs, and interpretations of resting-state fMRI in translational pharmacological research: A review of state-of-the-Art, challenges, and opportunities for studying brain chemistry. Hum Brain Mapp 2017; 38:2276-2325. [PMID: 28145075 DOI: 10.1002/hbm.23516] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Revised: 11/21/2016] [Accepted: 01/04/2017] [Indexed: 12/11/2022] Open
Abstract
A decade of research and development in resting-state functional MRI (RSfMRI) has opened new translational and clinical research frontiers. This review aims to bridge between technical and clinical researchers who seek reliable neuroimaging biomarkers for studying drug interactions with the brain. About 85 pharma-RSfMRI studies using BOLD signal (75% of all) or arterial spin labeling (ASL) were surveyed to investigate the acute effects of psychoactive drugs. Experimental designs and objectives include drug fingerprinting dose-response evaluation, biomarker validation and calibration, and translational studies. Common biomarkers in these studies include functional connectivity, graph metrics, cerebral blood flow and the amplitude and spectrum of BOLD fluctuations. Overall, RSfMRI-derived biomarkers seem to be sensitive to spatiotemporal dynamics of drug interactions with the brain. However, drugs cause both central and peripheral effects, thus exacerbate difficulties related to biological confounds, structured noise from motion and physiological confounds, as well as modeling and inference testing. Currently, these issues are not well explored, and heterogeneities in experimental design, data acquisition and preprocessing make comparative or meta-analysis of existing reports impossible. A unifying collaborative framework for data-sharing and data-mining is thus necessary for investigating the commonalities and differences in biomarker sensitivity and specificity, and establishing guidelines. Multimodal datasets including sham-placebo or active control sessions and repeated measurements of various psychometric, physiological, metabolic and neuroimaging phenotypes are essential for pharmacokinetic/pharmacodynamic modeling and interpretation of the findings. We provide a list of basic minimum and advanced options that can be considered in design and analyses of future pharma-RSfMRI studies. Hum Brain Mapp 38:2276-2325, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Najmeh Khalili-Mahani
- McGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, Canada.,PERFORM Centre, Concordia University, Montreal, Canada
| | - Serge A R B Rombouts
- Department of Radiology, Leiden University Medical Centre, Leiden, The Netherlands.,Institute of Psychology and Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands
| | | | - Eugene P Duff
- Institute of Psychology and Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands.,Oxford Centre for Functional MRI of the Brain, Oxford University, Oxford, United Kingdom
| | | | - Lisa D Nickerson
- McLean Hospital, Belmont, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Lino Becerra
- Center for Pain and the Brain, Harvard Medical School & Boston Children's Hospital, Boston, Massachusetts
| | - Albert Dahan
- Department of Anesthesiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Alan C Evans
- McGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, Canada.,McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Jean-Paul Soucy
- PERFORM Centre, Concordia University, Montreal, Canada.,McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Richard Wise
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom
| | - Alex P Zijdenbos
- McGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, Canada.,Biospective Inc, Montreal, Quebec, Canada
| | - Joop M van Gerven
- Centre for Human Drug Research, Leiden University Medical Centre, Leiden, The Netherlands
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27
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Vergara VM, Mayer AR, Damaraju E, Hutchison K, Calhoun VD. The effect of preprocessing pipelines in subject classification and detection of abnormal resting state functional network connectivity using group ICA. Neuroimage 2017; 145:365-376. [PMID: 27033684 PMCID: PMC5035165 DOI: 10.1016/j.neuroimage.2016.03.038] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2015] [Revised: 03/10/2016] [Accepted: 03/15/2016] [Indexed: 10/22/2022] Open
Abstract
Resting state functional network connectivity (rsFNC) derived from functional magnetic resonance (fMRI) imaging is emerging as a possible biomarker to identify several brain disorders. Recently it has been pointed out that methods used to preprocess head motion variance might not fully remove all unwanted effects in the data. Proposed processing pipelines locate the treatment of head motion effects either close to the beginning or as one of the final steps. In this work, we assess several preprocessing pipelines applied in group independent component analysis (gICA) methods to study the rsFNC of the brain. The evaluation method utilizes patient/control classification performance based on linear support vector machines and leave-one-out cross validation. In addition, we explored group tests and correlation with severity measures in the patient population. We also tested the effect of removing high frequencies via filtering. Two real data cohorts were used: one consisting of 48 mTBI and one composed of 21 smokers, both with their corresponding matched controls. A simulation procedure was designed to test the classification power of each pipeline. Results show that data preprocessing can change the classification performance. In real data, regressing motion variance before gICA produced clearer group differences and stronger correlation with nicotine dependence.
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Affiliation(s)
- Victor M Vergara
- The Mind Research Network, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA.
| | - Andrew R Mayer
- The Mind Research Network, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA; Neurology and Psychiatry Departments, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA; Department of Psychology, University of New Mexico, Albuquerque, NM 87131, USA
| | - Eswar Damaraju
- The Mind Research Network, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87106, USA
| | - Kent Hutchison
- Departments of Psychology and Neuroscience, University of Colorado, Boulder, CO 80302, USA
| | - Vince D Calhoun
- The Mind Research Network, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87106, USA
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28
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Wang J, Braskie MN, Hafzalla GW, Faskowitz J, McMahon KL, de Zubicaray GI, Wright MJ, Yu C, Thompson PM. Relationship of a common OXTR gene variant to brain structure and default mode network function in healthy humans. Neuroimage 2016; 147:500-506. [PMID: 28017919 DOI: 10.1016/j.neuroimage.2016.12.062] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2016] [Revised: 12/06/2016] [Accepted: 12/21/2016] [Indexed: 12/26/2022] Open
Abstract
A large body of research suggests that oxytocin receptor (OXTR) gene polymorphisms may influence both social behaviors and psychiatric conditions related to social deficits, such as autism spectrum disorders (ASDs), schizophrenia, and mood and anxiety disorders. However, the neural mechanism underlying these associations is still unclear. Relative to controls, patients with these psychiatric conditions show differences in brain structure, and in resting state fMRI (rs-fMRI) signal synchronicity among default mode network (DMN) regions (also known as functional connectivity). We used a stepwise imaging genetics approach in 328 healthy young adults to test the hypothesis that 10 SNPs in OXTR are associated with differences in DMN synchronicity and structure of some of the associated brain regions. As OXTR effects may be sex-dependent, we also tested whether our findings were modulated by sex. OXTR rs2254298 A allele carriers had significantly lower rsFC with PCC in a cluster extending from the right fronto-insular cortex to the putamen and globus pallidus, and in bilateral dorsal anterior cingulate cortex (dACC) compared to individuals with the GG genotype; all observed effects were found only in males. Moreover, compared to the male individuals with GG genotype ofrs2254298, the male A allele carriers demonstrated significantly thinner cortical gray matter in the bilateral dACC. Our findings suggest that there may be sexually dimorphic mechanisms by which a naturally occurring variation of the OXTR gene may influence brain structure and function in DMN-related regions implicated in neuropsychiatric disorders.
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Affiliation(s)
- Junping Wang
- Imaging Genetics Center, Keck/USC School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA; Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 30052, China.
| | - Meredith N Braskie
- Imaging Genetics Center, Keck/USC School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA
| | - George W Hafzalla
- Imaging Genetics Center, Keck/USC School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA
| | - Joshua Faskowitz
- Imaging Genetics Center, Keck/USC School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA
| | - Katie L McMahon
- Center for Advanced Imaging, University of Queensland, Brisbane QLD 4072, Australia
| | - Greig I de Zubicaray
- Faculty of Health and Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Brisbane QLD 4059, Australia
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, Brisbane QLD 4072, Australia
| | - Chunshui Yu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 30052, China
| | - Paul M Thompson
- Imaging Genetics Center, Keck/USC School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA.
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29
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Cabrera EA, Wiers CE, Lindgren E, Miller G, Volkow ND, Wang GJ. Neuroimaging the Effectiveness of Substance Use Disorder Treatments. J Neuroimmune Pharmacol 2016; 11:408-33. [PMID: 27184387 DOI: 10.1007/s11481-016-9680-y] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2016] [Accepted: 04/26/2016] [Indexed: 12/18/2022]
Abstract
Neuroimaging techniques to measure the function and biochemistry of the human brain such as positron emission tomography (PET), proton magnetic resonance spectroscopy ((1)H MRS), and functional magnetic resonance imaging (fMRI), are powerful tools for assessing neurobiological mechanisms underlying the response to treatments in substance use disorders. Here, we review the neuroimaging literature on pharmacological and behavioral treatment in substance use disorder. We focus on neural effects of medications that reduce craving (e.g., naltrexone, bupropion hydrochloride, baclofen, methadone, varenicline) and that improve cognitive control (e.g., modafinil, N-acetylcysteine), of behavioral treatments for substance use disorders (e.g., cognitive bias modification training, virtual reality, motivational interventions) and neuromodulatory interventions such as neurofeedback and transcranial magnetic stimulation. A consistent finding for the effectiveness of therapeutic interventions identifies the improvement of executive control networks and the dampening of limbic activation, highlighting their values as targets for therapeutic interventions in substance use disorders.
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Affiliation(s)
- Elizabeth A Cabrera
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
| | - Corinde E Wiers
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Elsa Lindgren
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Gregg Miller
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Nora D Volkow
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
- National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA
| | - Gene-Jack Wang
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
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30
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Moeller SJ, London ED, Northoff G. Neuroimaging markers of glutamatergic and GABAergic systems in drug addiction: Relationships to resting-state functional connectivity. Neurosci Biobehav Rev 2016; 61:35-52. [PMID: 26657968 PMCID: PMC4731270 DOI: 10.1016/j.neubiorev.2015.11.010] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Revised: 11/05/2015] [Accepted: 11/21/2015] [Indexed: 12/29/2022]
Abstract
Drug addiction is characterized by widespread abnormalities in brain function and neurochemistry, including drug-associated effects on concentrations of the excitatory and inhibitory neurotransmitters glutamate and gamma-aminobutyric acid (GABA), respectively. In healthy individuals, these neurotransmitters drive the resting state, a default condition of brain function also disrupted in addiction. Here, our primary goal was to review in vivo magnetic resonance spectroscopy and positron emission tomography studies that examined markers of glutamate and GABA abnormalities in human drug addiction. Addicted individuals tended to show decreases in these markers compared with healthy controls, but findings also varied by individual characteristics (e.g., abstinence length). Interestingly, select corticolimbic brain regions showing glutamatergic and/or GABAergic abnormalities have been similarly implicated in resting-state functional connectivity deficits in drug addiction. Thus, our secondary goals were to provide a brief review of this resting-state literature, and an initial rationale for the hypothesis that abnormalities in glutamatergic and/or GABAergic neurotransmission may underlie resting-state functional deficits in drug addiction. In doing so, we suggest future research directions and possible treatment implications.
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Affiliation(s)
- Scott J Moeller
- Departments of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Edythe D London
- Departments of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Departments of Psychiatry and Biobehavioral Sciences, and Molecular and Medical Pharmacology, University of California Los Angeles, Los Angeles, CA, USA
| | - Georg Northoff
- Brain Imaging and Neuroethics Research Unit, Institute of Mental Health Research, Ottawa, Canada.
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31
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Neurobiological underpinnings of sensation seeking trait in heroin abusers. Eur Neuropsychopharmacol 2015; 25:1968-80. [PMID: 26364127 DOI: 10.1016/j.euroneuro.2015.07.023] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2014] [Revised: 07/25/2015] [Accepted: 07/28/2015] [Indexed: 11/20/2022]
Abstract
Neurobiological investigation of heroin revealed that abusers of this highly addictive substance show dysregulation in brain circuits for reward processing and cognitive control. Psychologically, personality traits related to reward processing and cognitive control differed between heroin abusers and non-abusers. Yet, there is no direct evidence on the relationship between these neurobiological and psychological findings on heroin abusers, and whether such relationship is altered in these abusers. The present study filled this research gap by integrating findings obtained via magnetic resonance imaging (structural volume and resting-state functional connectivity) and self-reported personality trait measures (Zuckerman׳s Sensation Seeking Scale and Barratt Impulsivity Scale) on 33 abstinent heroin users and 30 matched healthy controls. The key finding is a negative relationship between high sensation seeking tendency and midbrain structural volume in the heroin users. Importantly, there was stronger coupling between the midbrain and ventromedial prefrontal cortex and weaker coupling between the midbrain and dorsolateral prefrontal cortex in heroin users. Our findings offer significant insight into the neural underpinning of sensation seeking in heroin users. Importantly, the data shed light on a novel relationship between the mesolimbic-prefrontal pathway of the reward system and the high sensation seeking personality trait in heroin abusers.
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32
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Denier N, Schmidt A, Gerber H, Vogel M, Huber CG, Lang UE, Riecher-Rossler A, Wiesbeck GA, Radue EW, Walter M, Borgwardt S. Abnormal functional integration of thalamic low frequency oscillation in the BOLD signal after acute heroin treatment. Hum Brain Mapp 2015; 36:5287-300. [PMID: 26441146 DOI: 10.1002/hbm.23011] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2014] [Revised: 09/02/2015] [Accepted: 09/22/2015] [Indexed: 02/04/2023] Open
Abstract
Heroin addiction is a severe relapsing brain disorder associated with impaired cognitive control, including deficits in attention allocation. The thalamus has a high density of opiate receptors and is critically involved in orchestrating cortical activity during cognitive control. However, there have been no studies on how acute heroin treatment modulates thalamic activity. In a cross-over, double-blind, vehicle-controlled study, 29 heroin-maintained outpatients were studied after heroin and placebo administration, while 20 healthy controls were included for the placebo condition only. Resting-state functional magnetic resonance imaging was used to analyze functional integration of the thalamus by three different resting state analysis techniques. Thalamocortical functional connectivity (FC) was analyzed by seed-based correlation, while intrinsic thalamic oscillation was assessed by analysis of regional homogeneity (ReHo) and the fractional amplitude of low frequency fluctuations (fALFF). Relative to the placebo treatment and healthy controls, acute heroin administration reduced thalamocortical FC to cortical regions, including the frontal cortex, while the reductions in FC to the mediofrontal cortex, orbitofrontal cortex, and frontal pole were positively correlated with the plasma level of morphine, the main psychoactive metabolite of heroin. Furthermore, heroin treatment was associated with increased thalamic ReHo and fALFF values, whereas fALFF following heroin exposure correlated negatively with scores of attentional control. The heroin-associated increase in fALFF was mainly dominated by slow-4 (0.027-0.073 Hz) oscillations. Our findings show that there are acute effects of heroin within the thalamocortical system and may shed new light on the role of the thalamus in cognitive control in heroin addiction. Future research is needed to determine the underlying physiological mechanisms and their role in heroin addiction.
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Affiliation(s)
- Niklaus Denier
- Department of Psychiatry (UPK), University of Basel, Basel, 4012, Switzerland
| | - André Schmidt
- Department of Psychiatry (UPK), University of Basel, Basel, 4012, Switzerland.,Medical Image Analysis Centre, University Hospital Basel, Basel, 4031, Switzerland
| | - Hana Gerber
- Department of Psychiatry (UPK), University of Basel, Basel, 4012, Switzerland
| | - Marc Vogel
- Department of Psychiatry (UPK), University of Basel, Basel, 4012, Switzerland
| | - Christian G Huber
- Department of Psychiatry (UPK), University of Basel, Basel, 4012, Switzerland
| | - Undine E Lang
- Department of Psychiatry (UPK), University of Basel, Basel, 4012, Switzerland
| | | | - Gerhard A Wiesbeck
- Department of Psychiatry (UPK), University of Basel, Basel, 4012, Switzerland
| | - Ernst-Wilhelm Radue
- Department of Psychiatry (UPK), University of Basel, Basel, 4012, Switzerland.,Medical Image Analysis Centre, University Hospital Basel, Basel, 4031, Switzerland
| | - Marc Walter
- Department of Psychiatry (UPK), University of Basel, Basel, 4012, Switzerland
| | - Stefan Borgwardt
- Department of Psychiatry (UPK), University of Basel, Basel, 4012, Switzerland.,Medical Image Analysis Centre, University Hospital Basel, Basel, 4031, Switzerland
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