1
|
Ertl N, Freeman TP, Mokrysz C, Ofori S, Borissova A, Petrilli K, Curran HV, Lawn W, Wall MB. Acute effects of different types of cannabis on young adult and adolescent resting-state brain networks. Neuropsychopharmacology 2024:10.1038/s41386-024-01891-6. [PMID: 38806583 DOI: 10.1038/s41386-024-01891-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 05/02/2024] [Accepted: 05/10/2024] [Indexed: 05/30/2024]
Abstract
Adolescence is a time of rapid neurodevelopment and the endocannabinoid system is particularly prone to change during this time. Cannabis is a commonly used drug with a particularly high prevalence of use among adolescents. The two predominant phytocannabinoids are Delta-9-tetrahydrocannabinol (THC) and cannabidiol (CBD), which affect the endocannabinoid system. It is unknown whether this period of rapid development makes adolescents more or less vulnerable to the effects of cannabis on brain-network connectivity, and whether CBD may attenuate the effects of THC. Using fMRI, we explored the impact of vaporized cannabis (placebo, THC: 8 mg/75 kg, THC + CBD: 8 mg/75 kg THC & 24 mg/75 kg CBD) on resting-state networks in groups of semi-regular cannabis users (usage frequency between 0.5 and 3 days/week), consisting of 22 adolescents (16-17 years) and 24 young adults (26-29 years) matched for cannabis use frequency. Cannabis caused reductions in within-network connectivity in the default mode (F[2,88] = 3.97, P = 0.022, η² = 0.018), executive control (F[2,88] = 18.62, P < 0.001, η² = 0.123), salience (F[2,88] = 12.12, P < 0.001, η² = 0.076), hippocampal (F[2,88] = 14.65, P < 0.001, η² = 0.087), and limbic striatal (F[2,88] = 16.19, P < 0.001, η² = 0.102) networks compared to placebo. Whole-brain analysis showed cannabis significantly disrupted functional connectivity with cortical regions and the executive control, salience, hippocampal, and limbic striatal networks compared to placebo. CBD did not counteract THC's effects and further reduced connectivity both within networks and the whole brain. While age-related differences were observed, there were no interactions between age group and cannabis treatment in any brain network. Overall, these results challenge the assumption that CBD can make cannabis safer, as CBD did not attenuate THC effects (and in some cases potentiated them); furthermore, they show that cannabis causes similar disruption to resting-state connectivity in the adolescent and adult brain.
Collapse
Affiliation(s)
- Natalie Ertl
- Invicro London, Burlington Danes Building, Hammersmith Hospital, Du Cane Road, W12 0NN, London, UK
- Faculty of Medicine, Imperial College London, Hammersmith Hospital, Du Cane Road, W12 0NN, London, UK
| | - Tom P Freeman
- Clinical Psychopharmacology Unit, University College London, 1-19 Torrington Place, WC1E 7HB, London, UK
- Addiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK
| | - Claire Mokrysz
- Clinical Psychopharmacology Unit, University College London, 1-19 Torrington Place, WC1E 7HB, London, UK
| | - Shelan Ofori
- Clinical Psychopharmacology Unit, University College London, 1-19 Torrington Place, WC1E 7HB, London, UK
| | - Anna Borissova
- Clinical Psychopharmacology Unit, University College London, 1-19 Torrington Place, WC1E 7HB, London, UK
- National Addiction Centre, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Kat Petrilli
- Addiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK
| | - H Valerie Curran
- Clinical Psychopharmacology Unit, University College London, 1-19 Torrington Place, WC1E 7HB, London, UK
| | - Will Lawn
- Clinical Psychopharmacology Unit, University College London, 1-19 Torrington Place, WC1E 7HB, London, UK
- National Addiction Centre, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Matthew B Wall
- Invicro London, Burlington Danes Building, Hammersmith Hospital, Du Cane Road, W12 0NN, London, UK.
- Faculty of Medicine, Imperial College London, Hammersmith Hospital, Du Cane Road, W12 0NN, London, UK.
| |
Collapse
|
2
|
Chirokoff V, Pohl KM, Berthoz S, Fatseas M, Misdrahi D, Serre F, Auriacombe M, Pfefferbaum A, Sullivan EV, Chanraud S. Multi-level prediction of substance use: Interaction of white matter integrity, resting-state connectivity and inhibitory control measured repeatedly in every-day life. Addict Biol 2024; 29:e13400. [PMID: 38706091 PMCID: PMC11070496 DOI: 10.1111/adb.13400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 04/15/2024] [Accepted: 04/16/2024] [Indexed: 05/07/2024]
Abstract
Substance use disorders are characterized by inhibition deficits related to disrupted connectivity in white matter pathways, leading via interaction to difficulties in resisting substance use. By combining neuroimaging with smartphone-based ecological momentary assessment (EMA), we questioned how biomarkers moderate inhibition deficits to predict use. Thus, we aimed to assess white matter integrity interaction with everyday inhibition deficits and related resting-state network connectivity to identify multi-dimensional predictors of substance use. Thirty-eight patients treated for alcohol, cannabis or tobacco use disorder completed 1 week of EMA to report substance use five times and complete Stroop inhibition testing twice daily. Before EMA tracking, participants underwent resting state functional MRI and diffusion tensor imaging (DTI) scanning. Regression analyses were conducted between mean Stroop performances and whole-brain fractional anisotropy (FA) in white matter. Moderation testing was conducted between mean FA within significant clusters as moderator and the link between momentary Stroop performance and use as outcome. Predictions between FA and resting-state connectivity strength in known inhibition-related networks were assessed using mixed modelling. Higher FA values in the anterior corpus callosum and bilateral anterior corona radiata predicted higher mean Stroop performance during the EMA week and stronger functional connectivity in occipital-frontal-cerebellar regions. Integrity in these regions moderated the link between inhibitory control and substance use, whereby stronger inhibition was predictive of the lowest probability of use for the highest FA values. In conclusion, compromised white matter structural integrity in anterior brain systems appears to underlie impairment in inhibitory control functional networks and compromised ability to refrain from substance use.
Collapse
Affiliation(s)
- Valentine Chirokoff
- Univ. Bordeaux, INCIA CNRS‐UMR 5287BordeauxFrance
- EPHEPSL Research UniversityParisFrance
| | - Kilian M. Pohl
- Department of Psychiatry & Behavioral SciencesStanford University School of MedicineStanfordCaliforniaUSA
| | - Sylvie Berthoz
- Univ. Bordeaux, INCIA CNRS‐UMR 5287BordeauxFrance
- Department of Psychiatry for Adolescents and Young AdultsInstitut Mutualiste MontsourisParisFrance
| | - Melina Fatseas
- Univ. Bordeaux, INCIA CNRS‐UMR 5287BordeauxFrance
- CH Charles PerrensBordeauxFrance
- CHU BordeauxBordeauxFrance
| | - David Misdrahi
- Univ. Bordeaux, INCIA CNRS‐UMR 5287BordeauxFrance
- CH Charles PerrensBordeauxFrance
| | - Fuschia Serre
- CNRS UMR 6033 – Sleep, Addiction and Neuropsychiatry (SANPSY)University of BordeauxBordeauxFrance
| | - Marc Auriacombe
- CH Charles PerrensBordeauxFrance
- CNRS UMR 6033 – Sleep, Addiction and Neuropsychiatry (SANPSY)University of BordeauxBordeauxFrance
| | - Adolf Pfefferbaum
- Department of Psychiatry & Behavioral SciencesStanford University School of MedicineStanfordCaliforniaUSA
- Center for Health SciencesSRI InternationalMenlo ParkCaliforniaUSA
| | - Edith V. Sullivan
- Department of Psychiatry & Behavioral SciencesStanford University School of MedicineStanfordCaliforniaUSA
| | - Sandra Chanraud
- Univ. Bordeaux, INCIA CNRS‐UMR 5287BordeauxFrance
- EPHEPSL Research UniversityParisFrance
| |
Collapse
|
3
|
Zhou H, Gong L, Su C, Teng B, Xi W, Li X, Geng F, Hu Y. White matter integrity of right frontostriatal circuit predicts internet addiction severity among internet gamers. Addict Biol 2024; 29:e13399. [PMID: 38711213 PMCID: PMC11074389 DOI: 10.1111/adb.13399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 03/25/2024] [Accepted: 04/16/2024] [Indexed: 05/08/2024]
Abstract
Excessive use of the internet, which is a typical scenario of self-control failure, could lead to potential consequences such as anxiety, depression, and diminished academic performance. However, the underlying neuropsychological mechanisms remain poorly understood. This study aims to investigate the structural basis of self-control and internet addiction. In a cohort of 96 internet gamers, we examined the relationships among grey matter volume and white matter integrity within the frontostriatal circuits and internet addiction severity, as well as self-control measures. The results showed a significant and negative correlation between dACC grey matter volume and internet addiction severity (p < 0.001), but not with self-control. Subsequent tractography from the dACC to the bilateral ventral striatum (VS) was conducted. The fractional anisotropy (FA) and radial diffusivity of dACC-right VS pathway was negatively (p = 0.011) and positively (p = 0.020) correlated with internet addiction severity, respectively, and the FA was also positively correlated with self-control (p = 0.036). These associations were not observed for the dACC-left VS pathway. Further mediation analysis demonstrated a significant complete mediation effect of self-control on the relationship between FA of the dACC-right VS pathway and internet addiction severity. Our findings suggest that the dACC-right VS pathway is a critical neural substrate for both internet addiction and self-control. Deficits in this pathway may lead to impaired self-regulation over internet usage, exacerbating the severity of internet addiction.
Collapse
Affiliation(s)
- Hui Zhou
- The State Key Lab of Brain‐Machine IntelligenceZhejiang UniversityHangzhouChina
- Department of Psychology and Behavioral SciencesZhejiang UniversityHangzhouChina
| | - Liangyu Gong
- Department of Psychology and Behavioral SciencesZhejiang UniversityHangzhouChina
| | - Conghui Su
- Department of Psychology and Behavioral SciencesZhejiang UniversityHangzhouChina
| | - Binyu Teng
- Department of Psychology and Behavioral SciencesZhejiang UniversityHangzhouChina
| | - Wan Xi
- Department of Psychology and Behavioral SciencesZhejiang UniversityHangzhouChina
| | - Xiumei Li
- Department of Psychology and Behavioral SciencesZhejiang UniversityHangzhouChina
| | - Fengji Geng
- Department of Curriculum and Learning SciencesZhejiang University, Zijingang CampusHangzhouChina
| | - Yuzheng Hu
- The State Key Lab of Brain‐Machine IntelligenceZhejiang UniversityHangzhouChina
- Department of Psychology and Behavioral SciencesZhejiang UniversityHangzhouChina
- MOE Frontiers Science Center for Brain Science & Brain‐Machine IntegrationZhejiang UniversityHangzhouChina
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of MedicineHangzhou City UniversityHangzhouChina
| |
Collapse
|
4
|
Chien A, Wu T, Lau CY, Pandya D, Wiebold A, Agan B, Snow J, Smith B, Nath A, Nair G. White and Gray Matter Changes are Associated With Neurocognitive Decline in HIV Infection. Ann Neurol 2024; 95:941-950. [PMID: 38362961 PMCID: PMC11060903 DOI: 10.1002/ana.26896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 01/09/2024] [Accepted: 01/30/2024] [Indexed: 02/17/2024]
Abstract
OBJECTIVE To investigate the relationship between neurocognitive deficits and structural changes on brain magnetic resonance imaging in people living with HIV (PLWH) with good virological control on combination antiretroviral therapy, compared with socioeconomically matched control participants recruited from the same communities. METHODS Brain magnetic resonance imaging scans, and clinical and neuropsychological data were obtained from virologically controlled PLWH (viral load of <50 c/mL and at least 1 year of combination antiretroviral therapy) and socioeconomically matched control participants. Magnetic resonance imaging was carried out on 3 T scanner with 8-channel head coils and segmented using Classification using Derivative-based Features. Multiple regression analysis was performed to examine the association between brain volume and various clinical and neuropsychiatric parameters adjusting for age, race, and sex. To evaluate longitudinal changes in brain volumes, a random coefficient model was used to evaluate the changes over time (age) adjusting for sex and race. RESULTS The cross-sectional study included 164 PLWH and 51 controls, and the longitudinal study included 68 PLWH and 20 controls with 2 or more visits (mean 2.2 years, range 0.8-5.1 years). Gray matter (GM) atrophy rate was significantly higher in PLWH compared with control participants, and importantly, the GM and global atrophy was associated with the various neuropsychological domain scores. Higher volume of white matter hyperintensities were associated with increased atherosclerotic cardiovascular disease risk score, and decreased executive functioning and memory domain scores in PLWH. INTERPRETATION These findings suggest ongoing neurological damage even in virologically controlled participants, with significant implications for clinical management of PLWH. ANN NEUROL 2024;95:941-950.
Collapse
Affiliation(s)
- Alice Chien
- National Institute of Neurological Disorders and Stroke, MD, USA
| | - Tianxia Wu
- National Institute of Neurological Disorders and Stroke, MD, USA
| | - Chuen-Yen Lau
- National Institute of Allergy and Infectious Diseases, MD, USA
| | - Darshan Pandya
- National Institute of Neurological Disorders and Stroke, MD, USA
| | - Amanda Wiebold
- National Institute of Neurological Disorders and Stroke, MD, USA
| | - Brian Agan
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, MD, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA
| | - Joseph Snow
- National Institute of Mental Health, MD, USA
| | - Bryan Smith
- National Institute of Neurological Disorders and Stroke, MD, USA
| | - Avindra Nath
- National Institute of Neurological Disorders and Stroke, MD, USA
| | - Govind Nair
- National Institute of Neurological Disorders and Stroke, MD, USA
| |
Collapse
|
5
|
Wallace AL, Courtney KE, Wade NE, Hatz LE, Baca R, Jacobson A, Liu TT, Jacobus J. Neurite Orientation Dispersion and Density Imaging (NODDI) of Brain Microstructure in Adolescent Cannabis and Nicotine Use. Behav Sci (Basel) 2024; 14:231. [PMID: 38540534 PMCID: PMC10968201 DOI: 10.3390/bs14030231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 03/05/2024] [Accepted: 03/11/2024] [Indexed: 04/13/2024] Open
Abstract
INTRODUCTION Despite evidence suggesting deleterious effects of cannabis and nicotine tobacco product (NTP) use on white matter integrity, there have been limited studies examining white matter integrity among users of both cannabis and nicotine. Further, updated white matter methodology provides opportunities to investigate use patterns on neurite orientation dispersion and density (NODDI) indices and subtle tissue changes related to the intra- and extra-neurite compartment. We aimed to investigate how cannabis and NTP use among adolescents and young adults interacts to impact the white matter integrity microstructure. MATERIALS AND METHODS A total of 221 participants between the ages of 16 and 22 completed the Customary Drinking and Drug Use Record (CDDR) to measure substance use, and underwent a magnetic resonance imaging (MRI) session. Participants were divided into NTP-control and NTP groupings and cannabis-control and cannabis groupings (≥26 NTP/cannabis uses in past 6 months). Tract-Based Spatial Statistics (TBSS) and two-way between-subjects ANOVA investigated the effects of NTP use group, cannabis use group, and their interaction on fractional anisotropy (FA) and NODDI indices while controlling for age and biological sex. RESULTS NTP use was associated with decreased FA values and increased orientation dispersion in the left anterior capsule. There were no significant effects of cannabis use or the interaction of NTP and cannabis use on white matter outcomes. DISCUSSION NTP use was associated with altered white matter integrity in an adolescent and young adult sample. Findings suggest that NTP-associated alterations may be linked to altered fiber tract geometry and dispersed neurite structures versus myelination, as well as differential effects of NTP and cannabis use on white matter structure. Future work is needed to investigate how altered white matter is related to downstream behavioral effects from NTP use.
Collapse
Affiliation(s)
- Alexander L Wallace
- Psychiatry Department, University of California San Diego, La Jolla, CA 92093, USA; (A.L.W.)
| | - Kelly E. Courtney
- Psychiatry Department, University of California San Diego, La Jolla, CA 92093, USA; (A.L.W.)
| | - Natasha E. Wade
- Psychiatry Department, University of California San Diego, La Jolla, CA 92093, USA; (A.L.W.)
| | - Laura E. Hatz
- Psychiatry Department, University of California San Diego, La Jolla, CA 92093, USA; (A.L.W.)
| | - Rachel Baca
- Psychiatry Department, University of California San Diego, La Jolla, CA 92093, USA; (A.L.W.)
| | - Aaron Jacobson
- Center for Functional MRI and Department of Radiology, University of California San Diego, La Jolla, CA 92093, USA
| | - Thomas T. Liu
- Center for Functional MRI and Department of Radiology, University of California San Diego, La Jolla, CA 92093, USA
| | - Joanna Jacobus
- Psychiatry Department, University of California San Diego, La Jolla, CA 92093, USA; (A.L.W.)
| |
Collapse
|
6
|
Koller D, Friligkou E, Stiltner B, Pathak GA, Løkhammer S, Levey DF, Zhou H, Hatoum AS, Deak JD, Kember RL, Treur JL, Kranzler HR, Johnson EC, Stein MB, Gelernter J, Polimanti R. Pleiotropy and genetically inferred causality linking multisite chronic pain to substance use disorders. Mol Psychiatry 2024:10.1038/s41380-024-02446-3. [PMID: 38355787 DOI: 10.1038/s41380-024-02446-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 01/18/2024] [Accepted: 01/22/2024] [Indexed: 02/16/2024]
Abstract
Individuals suffering from chronic pain develop substance use disorders (SUDs) more often than others. Understanding the shared genetic influences underlying the comorbidity between chronic pain and SUDs will lead to a greater understanding of their biology. Genome-wide association statistics were obtained from the UK Biobank for multisite chronic pain (MCP, Neffective = 387,649) and from the Million Veteran Program and the Psychiatric Genomics Consortium meta-analyses for alcohol use disorder (AUD, Neffective = 296,974), cannabis use disorder (CanUD, Neffective = 161,053), opioid use disorder (OUD, Neffective = 57,120), and problematic tobacco use (PTU, Neffective = 270,120). SNP-based heritability was estimated for each of the traits and genetic correlation (rg) analyses were performed to assess MCP-SUD pleiotropy. Bidirectional Mendelian Randomization analyses evaluated possible causal relationships. Finally, to identify and characterize individual loci, we performed a genome-wide pleiotropy analysis and a brain-wide analysis using imaging phenotypes available from the UK Biobank. MCP was positively genetically correlated with AUD (rg = 0.26, p = 7.55 × 10-18), CanUD (rg = 0.37, p = 8.21 × 10-37), OUD (rg = 0.20, p = 1.50 × 10-3), and PTU (rg = 0.29, p = 8.53 × 10-12). Although the MR analyses supported bi-directional relationships, MCP had larger effects on AUD (pain-exposure: beta = 0.18, p = 8.21 × 10-4; pain-outcome: beta = 0.07, p = 0.018), CanUD (pain-exposure: beta = 0.58, p = 2.70 × 10-6; pain-outcome: beta = 0.05, p = 0.014) and PTU (pain-exposure: beta = 0.43, p = 4.16 × 10-8; pain-outcome: beta = 0.09, p = 3.05 × 10-6) than the reverse. The genome-wide analysis identified two SNPs pleiotropic between MCP and all SUD investigated: IHO1 rs7652746 (ppleiotropy = 2.69 × 10-8), and CADM2 rs1248857 (ppleiotropy = 1.98 × 10-5). In the brain-wide analysis, rs7652746 was associated with multiple cerebellum and amygdala imaging phenotypes. When analyzing MCP pleiotropy with each SUD separately, we found 25, 22, and 4 pleiotropic variants for AUD, CanUD, and OUD, respectively. To our knowledge, this is the first large-scale study to provide evidence of potential causal relationships and shared genetic mechanisms underlying MCP-SUD comorbidity.
Collapse
Affiliation(s)
- Dora Koller
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
- Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA.
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, University of Barcelona, Catalonia, Spain.
| | - Eleni Friligkou
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Brendan Stiltner
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Gita A Pathak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Solveig Løkhammer
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Daniel F Levey
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Hang Zhou
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Alexander S Hatoum
- Department of Psychological and Brain Sciences, Washington University in Saint Louis, St. Louis, MO, USA
| | - Joseph D Deak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Rachel L Kember
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Mental Illness Research, Education and Clinical Center, Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Jorien L Treur
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Henry R Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Mental Illness Research, Education and Clinical Center, Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Murray B Stein
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- VA San Diego Healthcare System, San Diego, CA, USA
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
- Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA.
- Wu Tsai Institute, Yale University, New Haven, CT, USA.
| |
Collapse
|
7
|
Hendrikse C, Lückhoff HK, Fouché JP, van den Heuvel LL, Emsley R, Seedat S, du Plessis S. Fronto-limbic white matter microstructural changes in psychiatrically healthy adults with childhood trauma. J Neurosci Res 2024; 102:e25308. [PMID: 38361421 DOI: 10.1002/jnr.25308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 01/19/2024] [Accepted: 01/31/2024] [Indexed: 02/17/2024]
Abstract
Childhood trauma (CT) may influence brain white matter microstructure; however, few studies have examined the differential impact of distinct CT types on white matter microstructure in psychiatrically healthy adults living in a developing country. In adults without significant medical or psychiatric disorders, we investigated the association(s) between CT, including abuse and neglect, and fractional anisotropy (FA) of limbic tracts previously shown to be associated with CT. Participants underwent diffusion tensor imaging and completed the Childhood Trauma Questionnaire. Multivariate analysis of variance models were used to test the effects of total overall CT, as well as CT subtypes, on FA in six fronto-limbic tracts, adjusting for age, sex, and educational level. The final sample included 69 adults (age 47 ± 17 years; 70% female). Overall, CT had a significant main effect on FA for tracts of interest (p < .001). Greater CT severity was associated with lower FA for the bilateral and left stria terminalis (uncorrected) as well as the bilateral, left, and right anterior limb of the internal capsule (ALIC; corrected). Exposure to total non-violent/deprivational trauma specifically was associated with lower FA of the bilateral, left, and right ALIC, suggesting that distinct types of CT are associated with differential white matter changes in apparently healthy adults. The ALIC predominantly carries fibers connecting the thalamus with prefrontal cortical regions. Microstructural alterations in the ALIC may be associated with functional brain changes, which may be adaptive or increase the risk of accelerated age-related cognitive decline, maladaptive behaviors, and subsyndromal psychiatric symptoms.
Collapse
Affiliation(s)
- Chanellé Hendrikse
- Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | | | - Jean-Paul Fouché
- Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
- Genomics of Brain Disorders Research Unit, South African Medical Research Council/Stellenbosch University, Cape Town, South Africa
| | - Leigh L van den Heuvel
- Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
- Genomics of Brain Disorders Research Unit, South African Medical Research Council/Stellenbosch University, Cape Town, South Africa
| | - Robin Emsley
- Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | - Soraya Seedat
- Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
- Genomics of Brain Disorders Research Unit, South African Medical Research Council/Stellenbosch University, Cape Town, South Africa
| | - Stefan du Plessis
- Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
- Genomics of Brain Disorders Research Unit, South African Medical Research Council/Stellenbosch University, Cape Town, South Africa
| |
Collapse
|
8
|
Caldwell M, Ayo-Jibunoh V, Mendoza JC, Brimblecombe KR, Reynolds LM, Zhu Jiang XY, Alarcon C, Fiore E, N Tomaio J, Phillips GR, Mingote S, Flores C, Casaccia P, Liu J, Cragg SJ, McCloskey DP, Yetnikoff L. Axo-glial interactions between midbrain dopamine neurons and oligodendrocyte lineage cells in the anterior corpus callosum. Brain Struct Funct 2023; 228:1993-2006. [PMID: 37668732 PMCID: PMC10516790 DOI: 10.1007/s00429-023-02695-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 08/09/2023] [Indexed: 09/06/2023]
Abstract
Oligodendrocyte progenitor cells (OPCs) receive synaptic innervation from glutamatergic and GABAergic axons and can be dynamically regulated by neural activity, resulting in activity-dependent changes in patterns of axon myelination. However, it remains unclear to what extent other types of neurons may innervate OPCs. Here, we provide evidence implicating midbrain dopamine neurons in the innervation of oligodendrocyte lineage cells in the anterior corpus callosum and nearby white matter tracts of male and female adult mice. Dopaminergic axon terminals were identified in the corpus callosum of DAT-Cre mice after injection of an eYFP reporter virus into the midbrain. Furthermore, fast-scan cyclic voltammetry revealed monoaminergic transients in the anterior corpus callosum, consistent with the anatomical findings. Using RNAscope, we further demonstrate that ~ 40% of Olig2 + /Pdfgra + cells and ~ 20% of Olig2 + /Pdgfra- cells in the anterior corpus callosum express Drd1 and Drd2 transcripts. These results suggest that oligodendrocyte lineage cells may respond to dopamine released from midbrain dopamine axons, which could affect myelination. Together, this work broadens our understanding of neuron-glia interactions with important implications for myelin plasticity by identifying midbrain dopamine axons as a potential regulator of corpus callosal oligodendrocyte lineage cells.
Collapse
Affiliation(s)
- Megan Caldwell
- CUNY Neuroscience Collaborative, The Graduate Center, City University of New York, 365 5Th Ave, New York, NY, 10016, USA
- Department of Psychology, College of Staten Island, City University of New York, 2800 Victory Boulevard, Staten Island, NY, 10314, USA
| | - Vanessa Ayo-Jibunoh
- Department of Psychology, College of Staten Island, City University of New York, 2800 Victory Boulevard, Staten Island, NY, 10314, USA
| | - Josue Criollo Mendoza
- Department of Biology, College of Staten Island, City University of New York, 2800 Victory Boulevard, Staten Island, NY, 10314, USA
| | - Katherine R Brimblecombe
- Centre for Integrative Neuroscience, Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, OX1 3PT, UK
- Oxford Parkinson's Disease Centre, University of Oxford, Oxford, OX1 3PT, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815, USA
| | - Lauren M Reynolds
- Plasticité du Cerveau, CNRS UMR8249, École Supérieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), Paris, France
| | - Xin Yan Zhu Jiang
- Department of Biology, College of Staten Island, City University of New York, 2800 Victory Boulevard, Staten Island, NY, 10314, USA
| | - Colin Alarcon
- Department of Psychology, College of Staten Island, City University of New York, 2800 Victory Boulevard, Staten Island, NY, 10314, USA
| | - Elizabeth Fiore
- Department of Psychology, College of Staten Island, City University of New York, 2800 Victory Boulevard, Staten Island, NY, 10314, USA
| | - Jacquelyn N Tomaio
- CUNY Neuroscience Collaborative, The Graduate Center, City University of New York, 365 5Th Ave, New York, NY, 10016, USA
- Neuroscience Initiative, Advanced Science Research Center, Graduate Center of The City University of New York, New York, NY, USA
| | - Greg R Phillips
- CUNY Neuroscience Collaborative, The Graduate Center, City University of New York, 365 5Th Ave, New York, NY, 10016, USA
- Department of Biology, College of Staten Island, City University of New York, 2800 Victory Boulevard, Staten Island, NY, 10314, USA
- Center for Developmental Neuroscience, College of Staten Island, City University of New York, 2800 Victory Boulevard, Staten Island, NY, 10314, USA
| | - Susana Mingote
- CUNY Neuroscience Collaborative, The Graduate Center, City University of New York, 365 5Th Ave, New York, NY, 10016, USA
- Neuroscience Initiative, Advanced Science Research Center, Graduate Center of The City University of New York, New York, NY, USA
| | - Cecilia Flores
- Department of Psychiatry and of Neurology and Neuroscience, McGill University, and Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Patrizia Casaccia
- Neuroscience Initiative, Advanced Science Research Center, Graduate Center of The City University of New York, New York, NY, USA
- Department of Neuroscience and Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Jia Liu
- Neuroscience Initiative, Advanced Science Research Center, Graduate Center of The City University of New York, New York, NY, USA
| | - Stephanie J Cragg
- Centre for Integrative Neuroscience, Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, OX1 3PT, UK
- Oxford Parkinson's Disease Centre, University of Oxford, Oxford, OX1 3PT, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815, USA
| | - Dan P McCloskey
- CUNY Neuroscience Collaborative, The Graduate Center, City University of New York, 365 5Th Ave, New York, NY, 10016, USA
- Department of Psychology, College of Staten Island, City University of New York, 2800 Victory Boulevard, Staten Island, NY, 10314, USA
| | - Leora Yetnikoff
- CUNY Neuroscience Collaborative, The Graduate Center, City University of New York, 365 5Th Ave, New York, NY, 10016, USA.
- Department of Psychology, College of Staten Island, City University of New York, 2800 Victory Boulevard, Staten Island, NY, 10314, USA.
| |
Collapse
|
9
|
Bilaus B, Turchinski NR, Ahdoot HL, Gavish RE, Shany O, Maayan R, Rosca P, Weizman A, Delayahu Y, Yadid G, Admon R. The Effect of Dehydroepiandrosterone Administration during Rehabilitation on White Matter Integrity Among Individuals With Polysubstance Use Disorder. J Addict Med 2023; 17:551-556. [PMID: 37788608 DOI: 10.1097/adm.0000000000001176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
OBJECTIVES Individuals with polysubstance use disorder (pSUD) exhibit vulnerability to relapse even after prolonged abstinence, with rehabilitation efforts achieving limited success. Previous studies highlighted dehydroepiandrosterone (DHEA) as a putative therapeutic agent that may aid rehabilitation, potentially by impacting white matter (WM) properties. The current study tested, for the first time, the effect of DHEA administration during rehabilitation on WM integrity among pSUD individuals, while assessing its putative association with long-term relapse rates. METHODS Immediately after admission to rehabilitation, 30 pSUD individuals were assigned to receive either placebo or DHEA (100 mg) daily for 3 months, via a randomized double-blind counterbalanced design. Participants also provided blood samples to assess circulating DHEA levels at treatment initiation and completed a diffusion tensor imaging (DTI) scan approximately 1 month after treatment initiation. Clinical status was evaluated 16 months after treatment initiation. Thirty matched healthy controls also underwent a DTI scan without any intervention. RESULTS DHEA administration was not associated with reduced relapse rates compared with placebo. Nevertheless, exploratory analysis revealed that DHEA was associated with successful rehabilitation among pSUD individuals with low circulating DHEA levels at treatment initiation. White matter integrity in the splenium corpus callosum (CC) was reduced in pSUD individuals compared with healthy controls, yet pSUD individuals receiving DHEA exhibited recovery of splenium CC WM integrity. CONCLUSIONS DHEA administration during rehabilitation may restore WM integrity in the CC among pSUD individuals. Although DHEA was not associated with reduced relapse rates in here, its therapeutic efficacy may depend on circulating DHEA levels at treatment initiation.
Collapse
Affiliation(s)
- Ben Bilaus
- From the School of Psychological Sciences, University of Haifa, Haifa, Israel (BB, RA); Sagol Department of Neurobiology, University of Haifa, Haifa, Israel (NRT); Leslie and Susan Gonda (Goldschmied) Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan, Israel (HLA, REG, GY); School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel (OS); Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel (OS); The Laboratory of Molecular Psychiatry, Felsenstein Medical Research Center, Petah Tikva, Israel (RM, AW); Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel (RM, AW, YD); Department for the Treatment of Substance Abuse and Mental Health Services, Israeli Ministry of Health, Jerusalem, Israel (PR); Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel (PR); Research Unit, Geha Mental Health Center, Petah Tikva, Israel (AW); The Dual Diagnosis Ward, Abarbanel Mental Health Center, Bat Yam, Israel (YD); The Integrated Brain and Behavior Research Center, University of Haifa, Haifa, Israel (RA)
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
10
|
Orihuel J, Capellán R, Casquero-Veiga M, Soto-Montenegro ML, Desco M, Oteo-Vives M, Ibáñez-Moragues M, Magro-Calvo N, Luján VM, Morcillo MÁ, Ambrosio E, Higuera-Matas A. The long-term effects of adolescent Δ9-tetrahydrocannabinol on brain structure and function assessed through neuroimaging techniques in male and female rats. Eur Neuropsychopharmacol 2023; 74:47-63. [PMID: 37276836 DOI: 10.1016/j.euroneuro.2023.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 03/24/2023] [Accepted: 05/22/2023] [Indexed: 06/07/2023]
Abstract
Several studies performed on human subjects have examined the effects of adolescent cannabis consumption on brain structure or function using brain imaging techniques. However, the evidence from these studies is usually heterogenous and affected by several confounding variables. Animal models of adolescent cannabinoid exposure may help to overcome these difficulties. In this exploratory study, we aim to increase our understanding of the protracted effects of adolescent Δ9-tetrahydrocannabinol (THC) in rats of both sexes using magnetic resonance (MR) to obtain volumetric data, assess grey and white matter microstructure with diffusion tensor imaging (DTI) and measure brain metabolites with 1H-MR spectroscopy (MRS); in addition, we studied brain function using positron emission tomography (PET) with 2-deoxy-2-[18F]fluoro-d-glucose as the tracer. THC-exposed rats exhibited volumetric and microstructural alterations in the striatum, globus pallidus, lateral ventricles, thalamus, and septal nuclei in a sex-specific manner. THC administration also reduced fractional anisotropy in several white matter tracts, prominently in rostral sections, while in vivo MRS identified lower levels of cortical choline compounds. THC-treated males had increased metabolism in the cerebellum and olfactory bulb and decreased metabolism in the cingulate cortex. By contrast, THC-treated females showed hypermetabolism in a cluster of voxels comprising the entorhinal piriform cortices and in the cingulate cortex. These results indicate that mild THC exposure during adolescence leaves a lingering mark on brain structure and function in a sex-dependant manner. Some of the changes found here resemble those observed in human studies and highlight the importance of studying sex-specific effects in cannabinoid research.
Collapse
Affiliation(s)
- Javier Orihuel
- Department of Psychobiology, School of Psychology, National University for Distance Learning (UNED), C/Juan del Rosal 10, Madrid, Spain
| | - Roberto Capellán
- Department of Psychobiology, School of Psychology, National University for Distance Learning (UNED), C/Juan del Rosal 10, Madrid, Spain
| | - Marta Casquero-Veiga
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; CIBER de Salud Mental (CIBERSAM), Madrid, Spain; Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
| | - María Luisa Soto-Montenegro
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; CIBER de Salud Mental (CIBERSAM), Madrid, Spain; Grupo de Fisiopatología y Farmacología del Sistema Digestivo de la Universidad Rey Juan Carlos (NEUGUT), Madrid, Spain
| | - Manuel Desco
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; CIBER de Salud Mental (CIBERSAM), Madrid, Spain; Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Spain; Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
| | - Marta Oteo-Vives
- CIEMAT - Research Centre for Energy, Environment and Technology, Medical Applications of Ionizing Radiations Unit, Madrid, Spain
| | - Marta Ibáñez-Moragues
- CIEMAT - Research Centre for Energy, Environment and Technology, Medical Applications of Ionizing Radiations Unit, Madrid, Spain
| | - Natalia Magro-Calvo
- CIEMAT - Research Centre for Energy, Environment and Technology, Medical Applications of Ionizing Radiations Unit, Madrid, Spain
| | - Víctor M Luján
- CIEMAT - Research Centre for Energy, Environment and Technology, Medical Applications of Ionizing Radiations Unit, Madrid, Spain
| | - Miguel Ángel Morcillo
- CIEMAT - Research Centre for Energy, Environment and Technology, Medical Applications of Ionizing Radiations Unit, Madrid, Spain
| | - Emilio Ambrosio
- Department of Psychobiology, School of Psychology, National University for Distance Learning (UNED), C/Juan del Rosal 10, Madrid, Spain
| | - Alejandro Higuera-Matas
- Department of Psychobiology, School of Psychology, National University for Distance Learning (UNED), C/Juan del Rosal 10, Madrid, Spain.
| |
Collapse
|
11
|
Murnane KS, Edinoff AN, Cornett EM, Kaye AD. Updated Perspectives on the Neurobiology of Substance Use Disorders Using Neuroimaging. Subst Abuse Rehabil 2023; 14:99-111. [PMID: 37583934 PMCID: PMC10424678 DOI: 10.2147/sar.s362861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 06/27/2023] [Indexed: 08/17/2023] Open
Abstract
Substance use problems impair social functioning, academic achievement, and employability. Psychological, biological, social, and environmental factors can contribute to substance use disorders. In recent years, neuroimaging breakthroughs have helped elucidate the mechanisms of substance misuse and its effects on the brain. Functional magnetic resonance imaging (MRI), positron emission tomography (PET), single-photon emission computed tomography (SPECT), and magnetic resonance spectroscopy (MRS) are all examples. Neuroimaging studies suggest substance misuse affects executive function, reward, memory, and stress systems. Recent neuroimaging research attempts have provided clinicians with improved tools to diagnose patients who misuse substances, comprehend the complicated neuroanatomy and neurobiology involved, and devise individually tailored and monitorable treatment regimens for individuals with substance use disorders. This review describes the most recent developments in drug misuse neuroimaging, including the neurobiology of substance use disorders, neuroimaging, and substance use disorders, established neuroimaging techniques, recent developments with established neuroimaging techniques and substance use disorders, and emerging clinical neuroimaging technology.
Collapse
Affiliation(s)
- Kevin S Murnane
- Department of Pharmacology, Toxicology and Neuroscience, Louisiana State University Health Sciences Center at Shreveport, Shreveport, LA, USA
| | - Amber N Edinoff
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Elyse M Cornett
- Department of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, Shreveport, LA, USA
| | - Alan D Kaye
- Department of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, Shreveport, LA, USA
| |
Collapse
|
12
|
Hodges CB, Steinberg JL, Zuniga EA, Ma L, Bjork JM, Moeller FG. Chronic Cocaine Use and White Matter Coherence: A Diffusion Tensor Imaging Study. J Stud Alcohol Drugs 2023; 84:585-597. [PMID: 36971714 PMCID: PMC10488304 DOI: 10.15288/jsad.21-00410] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 01/09/2023] [Indexed: 08/29/2023] Open
Abstract
OBJECTIVE Chronic substance use and its effects on brain function and structure has long been of interest to clinicians and researchers. Prior cross-sectional comparisons of diffusion tensor imaging (DTI) metrics have suggested deleterious effects of chronic substance use (i.e., cocaine use) on white matter coherence. However, it is unclear how these effects may replicate across geographic regions when examined with similar technologies. In this study, we sought to conduct a replication of previous work in this area and determine whether there are any patterns of persistent differences in white matter microstructure between individuals with a history of cocaine use disorder (CocUD, according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition) and healthy controls. METHOD A total of 46 participants (21 healthy controls, 25 chronic cocaine users) were recruited from the Richmond, Virginia metropolitan area. Information regarding past and current substance use was collected from all participants. Participants also completed structural and DTI scans. RESULTS Consistent with previous DTI studies, significant differences were found between fractional anisotropy (FA) and axial diffusivity (AD) CocUD and controls, with CocUD showing lower FA and AD in the right inferior and superior longitudinal fasciculus, the genu, body, and splenium of the corpus callosum, and the anterior, posterior, and superior corona radiata, among several other regions. These differences were not significant for other diffusivity metrics. Lifetime alcohol consumption was greater in the CocUD group, but lifetime alcohol consumption did not show a significant linear relationship with any of the DTI metrics in within-group regression analyses. CONCLUSIONS These data align with previously reported declines in white matter coherence in chronic cocaine users. However, it is less clear whether comorbid alcohol consumption results in an additive deleterious effect on white matter microstructure.
Collapse
Affiliation(s)
- Cooper B. Hodges
- Department of Physical Medicine and Rehabilitation, School of Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Joel L. Steinberg
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, Virginia
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
- C. Kenneth and Dianne Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, Virginia
| | - Edward A. Zuniga
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, Virginia
| | - Liangsuo Ma
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, Virginia
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - James M. Bjork
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, Virginia
| | - F. Gerard Moeller
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
- C. Kenneth and Dianne Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, Virginia
- Department of Pharmacology and Toxicology, Virginia Commonwealth University, Richmond, Virginia
| |
Collapse
|
13
|
Francis AN, Camprodon JA, Filbey F. Functional hyperconnectivity between corticocerebellar networks and altered decision making in young adult cannabis users: Evidence from 7T and multivariate pattern analysis. Psychiatry Res Neuroimaging 2023; 331:111613. [PMID: 36924741 DOI: 10.1016/j.pscychresns.2023.111613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 01/24/2023] [Accepted: 02/13/2023] [Indexed: 03/18/2023]
Abstract
Decision-making (DM) impairments are important predictors of cannabis initiation and continued use. In cannabis users, how decision-making abnormalities related to structural and functional connectivity in the brain are not fully understood. We employed a three-method multimodal image analysis and multivariate pattern analysis (MVPA) on high dimensional 7 tesla MRI images examining functional connectivity, white matter microstructure and gray matter volume in a group of cannabis users and non-users. Neuroimaging and cognitive analyses were performed on 92 CU and 92 age- matched NU from a total of 187 7T scans. CU were selected on the basis of their scores on the Semi-Structured Assessment for the Genetics of Alcoholism. The groups were first compared on a decision-making test and then on ICA based functional connectivity between corticocerebellar networks. An MVPA was done as a confirmatory analysis. The anatomy of these networks was then assessed using Diffusion Tensor imaging (DTI) and cortical volume analyses. Cannabis Users had significantly higher scores on the Iowa Gambling task (IGT) [Gambling task Percentage larger] and significantly lower scores on the [Gambling task reward Percentage smaller]. Left accumbens (L NAc) volume was significantly larger in cannabis users. DTI analysis between the groups yielded no significant (FWE corrected) differences. Resting state FC analysis of the left Cerebellum region 9 showed enhanced functional connectivity with the right nucleus accumbens and left pallidum and left putamen in CU. In addition, posterior cerebellum showed enhanced functional connectivity (FWE corrected) with 2 nodes of the DMN and left and right paracingulate (sub genual ACC) and the sub callosal cortex in CU. IGT percentage larger scores correlated with posterior cerebellar functional connectivity in non-user women. A multivariate pattern analysis confirmed this cerebellar hyperconnectivity in both groups. Our results demonstrate for the first time that deficits in DM observed in cannabis users are mirrored in hyper connectivity in corticocerebellar networks. Cortical volumes of some of the nodes of these networks showed increases in users. However, the underlying white matter was largely intact in CU. The observed DM deficits and hyper connectivity in resting networks may contribute to difficulties in quitting and/or facilitating relapse.
Collapse
Affiliation(s)
- Alan N Francis
- Department of Neuroscience, University of Texas Rio Grande Valley, TX, United States.
| | - Joan A Camprodon
- Dept of Psychiatry, Massachusetts General Hospital, Harvard Medical School, United States
| | - Francesca Filbey
- Center for Brain Health, School of Behavioral & Brain Science, University of Texas, Dallas, United States
| |
Collapse
|
14
|
Xu C, Neuroth T, Fujiwara T, Liang R, Ma KL. A Predictive Visual Analytics System for Studying Neurodegenerative Disease Based on DTI Fiber Tracts. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 2023; 29:2020-2035. [PMID: 34965212 DOI: 10.1109/tvcg.2021.3137174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Diffusion tensor imaging (DTI) has been used to study the effects of neurodegenerative diseases on neural pathways, which may lead to more reliable and early diagnosis of these diseases as well as a better understanding of how they affect the brain. We introduce a predictive visual analytics system for studying patient groups based on their labeled DTI fiber tract data and corresponding statistics. The system's machine-learning-augmented interface guides the user through an organized and holistic analysis space, including the statistical feature space, the physical space, and the space of patients over different groups. We use a custom machine learning pipeline to help narrow down this large analysis space and then explore it pragmatically through a range of linked visualizations. We conduct several case studies using DTI and T1-weighted images from the research database of Parkinson's Progression Markers Initiative.
Collapse
|
15
|
Robinson EA, Gleeson J, Arun AH, Clemente A, Gaillard A, Rossetti MG, Brambilla P, Bellani M, Crisanti C, Curran HV, Lorenzetti V. Measuring white matter microstructure in 1,457 cannabis users and 1,441 controls: A systematic review of diffusion-weighted MRI studies. FRONTIERS IN NEUROIMAGING 2023; 2:1129587. [PMID: 37554654 PMCID: PMC10406316 DOI: 10.3389/fnimg.2023.1129587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 02/09/2023] [Indexed: 08/10/2023]
Abstract
INTRODUCTION Cannabis is the most widely used regulated substance by youth and adults. Cannabis use has been associated with psychosocial problems, which have been partly ascribed to neurobiological changes. Emerging evidence to date from diffusion-MRI studies shows that cannabis users compared to controls show poorer integrity of white matter fibre tracts, which structurally connect distinct brain regions to facilitate neural communication. However, the most recent evidence from diffusion-MRI studies thus far has yet to be integrated. Therefore, it is unclear if white matter differences in cannabis users are evident consistently in selected locations, in specific diffusion-MRI metrics, and whether these differences in metrics are associated with cannabis exposure levels. METHODS We systematically reviewed the results from diffusion-MRI imaging studies that compared white matter differences between cannabis users and controls. We also examined the associations between cannabis exposure and other behavioral variables due to changes in white matter. Our review was pre-registered in PROSPERO (ID: 258250; https://www.crd.york.ac.uk/prospero/). RESULTS We identified 30 diffusion-MRI studies including 1,457 cannabis users and 1,441 controls aged 16-to-45 years. All but 6 studies reported group differences in white matter integrity. The most consistent differences between cannabis users and controls were lower fractional anisotropy within the arcuate/superior longitudinal fasciculus (7 studies), and lower fractional anisotropy of the corpus callosum (6 studies) as well as higher mean diffusivity and trace (4 studies). Differences in fractional anisotropy were associated with cannabis use onset (4 studies), especially in the corpus callosum (3 studies). DISCUSSION The mechanisms underscoring white matter differences are unclear, and they may include effects of cannabis use onset during youth, neurotoxic effects or neuro adaptations from regular exposure to tetrahydrocannabinol (THC), which exerts its effects by binding to brain receptors, or a neurobiological vulnerability predating the onset of cannabis use. Future multimodal neuroimaging studies, including recently developed advanced diffusion-MRI metrics, can be used to track cannabis users over time and to define with precision when and which region of the brain the white matter changes commence in youth cannabis users, and whether cessation of use recovers white matter differences. SYSTEMATIC REVIEW REGISTRATION www.crd.york.ac.uk/prospero/, identifier: 258250.
Collapse
Affiliation(s)
- Emily Anne Robinson
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
| | - John Gleeson
- Digital Innovation in Mental Health and Well-Being Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
| | - Arush Honnedevasthana Arun
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
| | - Adam Clemente
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
| | - Alexandra Gaillard
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
- Centre for Mental Health and Brain Sciences, Swinburne University of Technology, Melbourne, VIC, Australia
| | - Maria Gloria Rossetti
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Marcella Bellani
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
| | - Camilla Crisanti
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - H. Valerie Curran
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
- Clinical Psychopharmacology Unit, University College London, London, United Kingdom
| | - Valentina Lorenzetti
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
| |
Collapse
|
16
|
Gaudreault PO, King SG, Malaker P, Alia-Klein N, Goldstein RZ. Whole-brain white matter abnormalities in human cocaine and heroin use disorders: association with craving, recency, and cumulative use. Mol Psychiatry 2023; 28:780-791. [PMID: 36369361 PMCID: PMC9911401 DOI: 10.1038/s41380-022-01833-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 10/04/2022] [Accepted: 10/10/2022] [Indexed: 11/13/2022]
Abstract
Neuroimaging studies in substance use disorder have shown widespread impairments in white matter (WM) microstructure suggesting demyelination and axonal damage. However, substantially fewer studies explored the generalized vs. the acute and/or specific drug effects on WM. Our study assessed whole-brain WM integrity in three subgroups of individuals addicted to drugs, encompassing those with cocaine (CUD) or heroin (HUD) use disorder, compared to healthy controls (CTL). Diffusion MRI was acquired in 58 CTL, 28 current cocaine users/CUD+, 32 abstinent cocaine users/CUD-, and 30 individuals with HUD (urine was positive for cocaine in CUD+ and opiates used for treatment in HUD). Tract-Based Spatial Statistics allowed voxelwise analyses of diffusion metrics [fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD)]. Permutation statistics (p-corrected < 0.05) were used for between-group t-tests. Compared to CTL, all individuals with addiction showed widespread decreases in FA, and increases in MD, RD, and AD (19-57% of WM skeleton, p < 0.05). The HUD group showed the most impairments, followed by the CUD+, with only minor FA reductions in CUD- (<0.2% of WM skeleton, p = 0.05). Longer periods of regular use were associated with decreased FA and AD, and higher subjective craving was associated with increased MD, RD, and AD, across all individuals with drug addiction (p < 0.05). These findings demonstrate extensive WM impairments in individuals with drug addiction characterized by decreased anisotropy and increased diffusivity, thought to reflect demyelination and lower axonal packing. Extensive abnormalities in both groups with positive urine status (CUD+ and HUD), and correlations with craving, suggest greater WM impairments with more recent use. Results in CUD-, and correlations with regular use, further imply cumulative and/or persistent WM damage.
Collapse
Affiliation(s)
- Pierre-Olivier Gaudreault
- Psychiatry and Neuroscience Departments, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Sarah G King
- Psychiatry and Neuroscience Departments, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Pias Malaker
- Psychiatry and Neuroscience Departments, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Nelly Alia-Klein
- Psychiatry and Neuroscience Departments, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Rita Z Goldstein
- Psychiatry and Neuroscience Departments, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
| |
Collapse
|
17
|
Stubbs JL, Jones AA, Wolfman D, Chan RCY, Vila-Rodriguez F, Vertinsky AT, Heran MK, Su W, Lang DJ, Field TS, Gicas KM, Woodward ML, Thornton AE, Barr AM, Leonova O, MacEwan W, Rauscher A, Honer WG, Panenka WJ. Differential age-associated brain atrophy and white matter changes among homeless and precariously housed individuals compared with the general population. BMJ Neurol Open 2023; 5:e000349. [PMID: 36660541 PMCID: PMC9843194 DOI: 10.1136/bmjno-2022-000349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 01/05/2023] [Indexed: 01/15/2023] Open
Abstract
Background Homeless or precariously housed individuals live with poor health and experience premature mortality compared with the general population, yet little is known about age-related brain changes among these individuals. We evaluated whether MRI measures of brain structure are differentially associated with age and selected risk factors among individuals who are homeless or precariously housed compared with a general population sample. Methods We compared T1-weighted and diffusion tensor imaging measures of brain macrostructure and white matter microstructure in a well-characterised sample of 312 precariously housed participants with a publicly available dataset of 382 participants recruited from the general population. We used piecewise and multiple linear regression to examine differential associations between MRI measures and between the samples, and to explore associations with risk factors in the precariously housed sample. Results Compared with the general population sample, older age in the precariously housed sample was associated with more whole-brain atrophy (β=-0.20, p=0.0029), lower whole-brain fractional anisotropy (β=-0.32, p<0.0001) and higher whole-brain mean diffusivity (β=0.69, p<0.0001). Several MRI measures had non-linear associations with age, with further adverse changes after age 35-40 in the precariously housed sample. History of traumatic brain injury, stimulant dependence and heroin dependence was associated with more atrophy or alterations in white matter diffusivity in the precariously housed sample. Conclusions Older age is associated with adverse MRI measures of brain structure among homeless and precariously housed individuals compared with the general population. Education, improvements in care provision and policy may help to reduce the health disparities experienced by these individuals.
Collapse
Affiliation(s)
- Jacob L Stubbs
- Department of Psychaitry, University of British Columbia, Vancouver, BC, Canada,British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, BC, Canada
| | - Andrea A Jones
- Division of Neurology, University of British Columbia, Vancouver, BC, Canada
| | - Daniel Wolfman
- Department of Psychaitry, University of British Columbia, Vancouver, BC, Canada,British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, BC, Canada
| | - Ryan C Y Chan
- Department of Psychaitry, University of British Columbia, Vancouver, BC, Canada,British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, BC, Canada
| | - Fidel Vila-Rodriguez
- Department of Psychaitry, University of British Columbia, Vancouver, BC, Canada,Non-Invasive Neurostimulation Therapies Laboratory, University of British Columbia, Vancouver, BC, Canada
| | | | - Manraj K Heran
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Wayne Su
- Department of Psychaitry, University of British Columbia, Vancouver, BC, Canada,British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, BC, Canada
| | - Donna J Lang
- British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, BC, Canada,Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Thalia S Field
- Division of Neurology, University of British Columbia, Vancouver, BC, Canada
| | | | - Melissa L Woodward
- Department of Psychaitry, University of British Columbia, Vancouver, BC, Canada,British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, BC, Canada
| | - Allen E Thornton
- British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, BC, Canada,Department of Psychology, Simon Fraser University, Burnaby, BC, Canada
| | - Alasdair M Barr
- Department of Anesthesiology, Pharmacology, and Therapeutics, University of British Columbia, Vancouver, BC, Canada
| | - Olga Leonova
- Department of Psychaitry, University of British Columbia, Vancouver, BC, Canada
| | - William MacEwan
- Department of Psychaitry, University of British Columbia, Vancouver, BC, Canada
| | - Alexander Rauscher
- Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - William G Honer
- Department of Psychaitry, University of British Columbia, Vancouver, BC, Canada,British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, BC, Canada
| | - William J Panenka
- Department of Psychaitry, University of British Columbia, Vancouver, BC, Canada,British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, BC, Canada,British Columbia Neuropsychiatry Program, University of British Columbia, Vancouver, BC, Canada
| |
Collapse
|
18
|
Tallus J, Mohammadian M, Kurki T, Roine T, Posti JP, Tenovuo O. A comparison of diffusion tensor imaging tractography and constrained spherical deconvolution with automatic segmentation in traumatic brain injury. Neuroimage Clin 2023; 37:103284. [PMID: 36502725 PMCID: PMC9758569 DOI: 10.1016/j.nicl.2022.103284] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 10/20/2022] [Accepted: 12/05/2022] [Indexed: 12/12/2022]
Abstract
Detection of microstructural white matter injury in traumatic brain injury (TBI) requires specialised imaging methods, of which diffusion tensor imaging (DTI) has been extensively studied. Newer fibre alignment estimation methods, such as constrained spherical deconvolution (CSD), are better than DTI in resolving crossing fibres that are ubiquitous in the brain and may improve the ability to detect microstructural injuries. Furthermore, automatic tract segmentation has the potential to improve tractography reliability and accelerate workflow compared to the manual segmentation commonly used. In this study, we compared the results of deterministic DTI based tractography and manual tract segmentation with CSD based probabilistic tractography and automatic tract segmentation using TractSeg. 37 participants with a history of TBI (with Glasgow Coma Scale 13-15) and persistent symptoms, and 41 healthy controls underwent deterministic DTI-based tractography with manual tract segmentation and probabilistic CSD-based tractography with TractSeg automatic segmentation.Fractional anisotropy (FA) and mean diffusivity of corpus callosum and three bilateral association tracts were measured. FA and MD values derived from both tractography methods were generally moderately to strongly correlated. CSD with TractSeg differentiated the groups based on FA, while DTI did not. CSD and TractSeg-based tractography may be more sensitive in detecting microstructural changes associated with TBI than deterministic DTI tractography. Additionally, CSD with TractSeg was found to be applicable at lower b-value and number of diffusion-encoding gradients data than previously reported.
Collapse
Affiliation(s)
- Jussi Tallus
- Turku Brain Injury Center, Department of Clinical Neurosciences, University of Turku and Turku University Hospital, Hämeentie 11, Turku FI-20521, Finland; Department of Radiology, University of Turku and Turku University Hospital, Hämeentie 11, Turku FI-20521, Finland.
| | - Mehrbod Mohammadian
- Turku Brain Injury Center, Department of Clinical Neurosciences, University of Turku and Turku University Hospital, Hämeentie 11, Turku FI-20521, Finland
| | - Timo Kurki
- Turku Brain Injury Center, Department of Clinical Neurosciences, University of Turku and Turku University Hospital, Hämeentie 11, Turku FI-20521, Finland; Department of Radiology, University of Turku and Turku University Hospital, Hämeentie 11, Turku FI-20521, Finland
| | - Timo Roine
- Turku Brain and Mind Center, University of Turku, Turku FI-20014, Finland; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Rakentajanaukio 2 C, Espoo 02150, Finland
| | - Jussi P Posti
- Turku Brain Injury Center, Department of Clinical Neurosciences, University of Turku and Turku University Hospital, Hämeentie 11, Turku FI-20521, Finland; Neurocenter, Department of Neurosurgery, Turku University Hospital, University of Turku, Hämeentie 11, Turku FI-20521, Finland
| | - Olli Tenovuo
- Turku Brain Injury Center, Department of Clinical Neurosciences, University of Turku and Turku University Hospital, Hämeentie 11, Turku FI-20521, Finland
| |
Collapse
|
19
|
Dahlgren MK, Gonenc A, Sagar KA, Smith RT, Lambros AM, El-Abboud C, Gruber SA. Increased White Matter Coherence Following Three and Six Months of Medical Cannabis Treatment. Cannabis Cannabinoid Res 2022; 7:827-839. [PMID: 36367574 PMCID: PMC9784607 DOI: 10.1089/can.2022.0097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background: Previous studies have demonstrated abnormal white matter (WM) microstructure in recreational cannabis consumers; however, the long-term impact of medical cannabis (MC) use on WM coherence is unknown. Accordingly, this study assessed the longitudinal impact of MC treatment on WM coherence. Given results from preclinical studies, we hypothesized that MC treatment would be associated with increased fractional anisotropy (FA) and reduced mean diffusivity (MD). Methods: As part of a larger, longitudinal investigation, patients interested in treating at least one medical condition with commercially available MC products of their choosing were assessed before initiating MC use (baseline n=37; female=25, male=12) and following three (n=31) and six (n=22) months of treatment. WM coherence was assessed via diffusion tensor imaging for bilateral regions of interest including the genu of the corpus callosum, anterior limb of the internal capsule, external capsule, and anterior corona radiata, as well as an occipital control region not expected to change over time. Results: In MC patients, FA values significantly increased bilaterally in several callosal regions relative to baseline following both 3 and 6 months of treatment; MD values significantly decreased in all callosal regions but only following 6 months of treatment. No significant changes in WM coherence were observed in the control region or in a pilot sample of treatment-as-usual patients (baseline n=14), suggesting that increased WM coherence observed in MC patients may be attributed to MC treatment as opposed to confounding factors. Interestingly, significant reductions in MD values correlated with higher cannabidiol (CBD) exposure but not Δ-9-tetrahydrocannabinol exposure. Conclusions: Overall, MC treatment was associated with increased WM coherence, which contrasts with prior research examining recreational cannabis consumers, likely related to inherent differences between recreational consumers and MC patients (e.g., product choice, age of onset). In addition, increased CBD exposure was associated with reduced MD following 6 months of treatment, extending evidence from preclinical research indicating that CBD may be neuroprotective against demyelination. However, additional research is needed to elucidate the clinical efficacy of MC treatment and the risks and benefits of long-term MC use.
Collapse
Affiliation(s)
- Mary Kathryn Dahlgren
- Cognitive and Clinical Neuroimaging Core and McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Marijuana Investigations for Neuroscientific Discovery (MIND) Program, McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Atilla Gonenc
- Cognitive and Clinical Neuroimaging Core and McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Marijuana Investigations for Neuroscientific Discovery (MIND) Program, McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Kelly A Sagar
- Cognitive and Clinical Neuroimaging Core and McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Marijuana Investigations for Neuroscientific Discovery (MIND) Program, McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Rosemary T Smith
- Cognitive and Clinical Neuroimaging Core and McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Marijuana Investigations for Neuroscientific Discovery (MIND) Program, McLean Hospital Imaging Center, Belmont, Massachusetts, USA
| | - Ashley M Lambros
- Cognitive and Clinical Neuroimaging Core and McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Marijuana Investigations for Neuroscientific Discovery (MIND) Program, McLean Hospital Imaging Center, Belmont, Massachusetts, USA
| | - Celine El-Abboud
- Cognitive and Clinical Neuroimaging Core and McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Marijuana Investigations for Neuroscientific Discovery (MIND) Program, McLean Hospital Imaging Center, Belmont, Massachusetts, USA
| | - Staci A Gruber
- Cognitive and Clinical Neuroimaging Core and McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Marijuana Investigations for Neuroscientific Discovery (MIND) Program, McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| |
Collapse
|
20
|
Differences in white matter microstructure in first-episode schizophrenia spectrum disorders vs healthy volunteers and their association with cognition. Schizophr Res 2022; 250:196-202. [PMID: 36436499 DOI: 10.1016/j.schres.2022.11.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 05/06/2022] [Accepted: 11/15/2022] [Indexed: 11/27/2022]
Abstract
OBJECTIVE Both cognitive impairment and alterations in white matter tissue microstructure are well recognised in schizophrenia. We investigated whether differences in white matter microstructure underpin cognitive impairments in patients with first-episode schizophrenia spectrum disorders when controlling for multiple confounding factors. METHODS We employed a cross-sectional study design and compared fractional anisotropy (FA) between individuals diagnosed with first- episode schizophrenia spectrum disorders (FES) (n = 68) and matched healthy controls (n = 120). We conducted multiple analyses of covariance (ANCOVAs) to compare the mean FA values for patients and controls across 27 white matter tracts. We conducted exploratory correlation analyses to determine if white matter tract differences were associated with global cognitive impairment as well as deficits across seven cognitive domains. RESULTS We found widespread reductions in FA in patients compared to controls, after controlling for confounding variables, such as age, biological sex, education, substances, and childhood adversities. We found a significant positive correlation between the attention/vigilance domain and the splenium of the corpus collosum and external capsule after correction for multiple comparisons. In the control group we found no significant correlations between FA and cognition. CONCLUSION Our findings provide a neurobiological basis for attentional cognitive deficits in schizophrenia, highlighting a potential role for the splenium of the corpus collosum and external capsule.
Collapse
|
21
|
Fox HS, Niu M, Morsey BM, Lamberty BG, Emanuel K, Periyasamy P, Callen S, Acharya A, Kubik G, Eudy J, Guda C, Dyavar SR, Fletcher CV, Byrareddy SN, Buch S. Morphine suppresses peripheral responses and transforms brain myeloid gene expression to favor neuropathogenesis in SIV infection. Front Immunol 2022; 13:1012884. [PMID: 36466814 PMCID: PMC9709286 DOI: 10.3389/fimmu.2022.1012884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 10/31/2022] [Indexed: 11/18/2022] Open
Abstract
The twin pandemics of opioid abuse and HIV infection can have devastating effects on physiological systems, including on the brain. Our previous work found that morphine increased the viral reservoir in the brains of treated SIV-infected macaques. In this study, we investigated the interaction of morphine and SIV to identify novel host-specific targets using a multimodal approach. We probed systemic parameters and performed single-cell examination of the targets for infection in the brain, microglia and macrophages. Morphine treatment created an immunosuppressive environment, blunting initial responses to infection, which persisted during antiretroviral treatment. Antiretroviral drug concentrations and penetration into the cerebrospinal fluid and brain were unchanged by morphine treatment. Interestingly, the transcriptional signature of both microglia and brain macrophages was transformed to one of a neurodegenerative phenotype. Notably, the expression of osteopontin, a pleiotropic cytokine, was significantly elevated in microglia. This was especially notable in the white matter, which is also dually affected by HIV and opioids. Increased osteopontin expression was linked to numerous HIV neuropathogenic mechanisms, including those that can maintain a viral reservoir. The opioid morphine is detrimental to SIV/HIV infection, especially in the brain.
Collapse
Affiliation(s)
- Howard S. Fox
- Departments of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, United States,*Correspondence: Howard S. Fox,
| | - Meng Niu
- Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States
| | - Brenda M. Morsey
- Departments of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, United States
| | - Benjamin G. Lamberty
- Departments of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, United States
| | - Katy Emanuel
- Departments of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, United States
| | - Palsamy Periyasamy
- Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, United States
| | - Shannon Callen
- Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, United States
| | - Arpan Acharya
- Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, United States
| | - Gregory Kubik
- The Genomics Core Facility, University of Nebraska Medical Center, Omaha, NE, United States
| | - James Eudy
- Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States
| | - Chittibabu Guda
- Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States
| | - Shetty Ravi Dyavar
- The Antiviral Pharmacology Laboratory, University of Nebraska Medical Center, Omaha, NE, United States
| | - Courtney V. Fletcher
- The Antiviral Pharmacology Laboratory, University of Nebraska Medical Center, Omaha, NE, United States
| | - Siddappa N. Byrareddy
- Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, United States
| | - Shilpa Buch
- Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, United States
| |
Collapse
|
22
|
Manuweera T, Kisner MA, Almira E, Momenan R. Alcohol use disorder-associated structural and functional characteristics of the insula. J Neurosci Res 2022; 100:2077-2089. [PMID: 35946335 PMCID: PMC11059243 DOI: 10.1002/jnr.25113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 06/27/2022] [Accepted: 07/18/2022] [Indexed: 11/07/2022]
Abstract
Based on our current understanding of insular regions, effects of chronic alcohol use on the insula may affect the integration of sensory-motor, socio-emotional, and cognitive function. There is no comprehensive understanding about these differences in individuals with alcohol use disorder that accounts for both structural and functional differences related to chronic alcohol use. The purpose of this study was to investigate these variations in both the anterior and posterior insula in persons with alcohol use disorder. We investigated insula gray matter volume, morphometry, white matter structural connectivity, and resting state functional connectivity in 75 participants with alcohol use disorder (females = 27) and 75 age-matched healthy control participants (females = 39). Results indicated structural differences mostly in the anterior regions, while functional connectivity differences were observed in both the anterior and posterior insula in those with alcohol use disorder. Differing connectivity was observed with frontal, parietal, occipital, cingulate, cerebellar, and temporal brain regions. While these results align with prior studies showing differences primarily in anterior insular regions, they also contribute to the existing literature suggesting differences in anterior insular connectivity with brain regions shown to be engaged during higher cognitive and emotional tasks.
Collapse
Affiliation(s)
- Thushini Manuweera
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - Mallory A Kisner
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - Erika Almira
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - Reza Momenan
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| |
Collapse
|
23
|
Rasmussen JØ, Nordholm D, Glenthøj LB, Jensen MA, Garde AH, Ragahava JM, Jennum PJ, Glenthøj BY, Nordentoft M, Baandrup L, Ebdrup BH, Kristensen TD. White matter microstructure and sleep-wake disturbances in individuals at ultra-high risk of psychosis. Front Hum Neurosci 2022; 16:1029149. [PMID: 36393990 PMCID: PMC9649829 DOI: 10.3389/fnhum.2022.1029149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 10/07/2022] [Indexed: 11/25/2022] Open
Abstract
Aim White matter changes in individuals at ultra-high risk for psychosis (UHR) may be involved in the transition to psychosis. Sleep-wake disturbances commonly precede the first psychotic episode and predict development of psychosis. We examined associations between white matter microstructure and sleep-wake disturbances in UHR individuals compared to healthy controls (HC), as well as explored the confounding effect of medication, substance use, and level of psychopathology. Methods Sixty-four UHR individuals and 35 HC underwent clinical interviews and diffusion weighted imaging. Group differences on global and callosal mean fractional anisotropy (FA) was tested using general linear modeling. Sleep-wake disturbances were evaluated using the subjective measures disturbed sleep index (DSI) and disturbed awakening index (AWI) from the Karolinska Sleep Questionnaire, supported by objective sleep measures from one-night actigraphy. The primary analyses comprised partial correlation analyses between global FA/callosal FA and sleep-wake measures. Secondary analyses investigated multivariate patterns of covariance between measures of sleep-wake disturbances and FA in 48 white matter regions of interest using partial least square correlations. Results Ultra-high risk for psychosis individuals displayed lower global FA (F = 14.56, p < 0.001) and lower callosal FA (F = 11.34, p = 0.001) compared to HC. Subjective sleep-wake disturbances were significantly higher among the UHR individuals (DSI: F = 27.59, p < 0.001, AWI: F = 36.42, p < 0.001). Lower callosal FA was correlated with increased wake after sleep onset (r = -0.34, p = 0.011) and increased sleep fragmentation index (r = -0.31, p = 0.019) in UHR individuals. Multivariate analyses identified a pattern of covariance in regional FA which were associated with DSI and AWI in UHR individuals (p = 0.028), but not in HC. Substance use, sleep medication and antipsychotic medication did not significantly confound these associations. The association with objective sleep-wake measures was sustained when controlling for level of depressive and UHR symptoms, but symptom level confounded the covariation between FA and subjective sleep-wake measures in the multivariate analyses. Conclusion Compromised callosal microstructure in UHR individuals was related to objectively observed disruptions in sleep-wake functioning. Lower FA in ventrally located regions was associated with subjectively measured sleep-wake disturbances and was partly explained by psychopathology. These findings call for further investigation of sleep disturbances as a potential treatment target.
Collapse
Affiliation(s)
- Jesper Ø. Rasmussen
- Centre for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Dorte Nordholm
- Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Louise B. Glenthøj
- Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Department of Psychology, Faculty of Social Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marie A. Jensen
- The National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Anne H. Garde
- The National Research Centre for the Working Environment, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jayachandra M. Ragahava
- Centre for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Poul J. Jennum
- Danish Centre for Sleep Medicine, Department of Clinical Neurophysiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Birte Y. Glenthøj
- Centre for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Merete Nordentoft
- Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lone Baandrup
- Centre for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Mental Health Centre Copenhagen, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Bjørn H. Ebdrup
- Centre for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tina D. Kristensen
- Centre for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| |
Collapse
|
24
|
White matter alterations in chronic MDMA use: Evidence from diffusion tensor imaging and neurofilament light chain blood levels. NEUROIMAGE: CLINICAL 2022; 36:103191. [PMID: 36126513 PMCID: PMC9486575 DOI: 10.1016/j.nicl.2022.103191] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 09/01/2022] [Accepted: 09/09/2022] [Indexed: 12/14/2022] Open
Abstract
3,4-Methylenedioxymethamphetamine (MDMA, "Ecstasy") is a serotonin- and noradrenaline-releasing substance, currently among the most widely used illicit substances worldwide. In animal studies, repeated exposure to MDMA has been associated with dendritic but also axonal degeneration in the brain. However, translation of the axonal findings, specifically, to humans has been repeatedly questioned and the few existing studies investigating white matter alterations in human chronic MDMA users have yielded conflicting findings. In this study, we combined whole-brain diffusion tensor imaging and neurofilament light chain (NfL) analysis in blood to reveal potential MDMA-induced axonal neuropathology. To this end, we assessed 39 chronic MDMA users and 39 matched MDMA-naïve healthy controls. MDMA users showed increased fractional anisotropy in several white matter tracts, most prominently in the corpus callosum as well as corticospinal tracts, with these findings partly related to MDMA use intensity. However, the NfL levels of MDMA users were not significantly different from those of controls. We conclude that MDMA use is not associated with significant white matter lesions due to the absence of reduced fractional anisotropy and increased NfL levels commonly observed in conditions associated with white matter lesions, including stimulant and ketamine use disorders. Hence, the MDMA-induced axonal degradation demonstrated in animal models was not observed in this human study of chronic MDMA users.
Collapse
|
25
|
Agunbiade K, Fonville L, McGonigle J, Elliott R, Ersche KD, Flechais R, Orban C, Murphy A, Smith DG, Suckling J, Taylor EM, Deakin B, Robbins TW, Nutt DJ, Lingford‐Hughes AR, Paterson LM, Nutt D, Lingford‐Hughes A, Paterson L, McGonigle J, Flechais R, Orban C, Deakin B, Elliott R, Murphy A, Taylor E, Robbins T, Ersche K, Suckling J, Smith D, Reed L, Passetti F, Faravelli L, Erritzoe D, Mick I, Kalk N, Waldman A, Nestor L, Kuchibatla S, Boyapati V, Metastasio A, Faluyi Y, Fernandez‐Egea E, Abbott S, Sahakian B, Voon V, Rabiner I. Alterations in white matter microstructure in alcohol and alcohol‐polydrug dependence: Associations with lifetime alcohol and nicotine exposure. Addict Biol 2022. [PMCID: PMC9540248 DOI: 10.1111/adb.13207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Evidence suggests that alcohol dependence (AD) is associated with microstructural deficits in white matter, but the relationship with lifetime alcohol exposure and the impact of polydrug dependence is not well understood. Using diffusion tensor magnetic resonance (MR) imaging, we examined white matter microstructure in relation to alcohol and polydrug dependence using data from the Imperial College Cambridge Manchester (ICCAM) platform study. Tract‐based spatial statistics were used to examine fractional anisotropy (FA) in a cohort of abstinent AD participants, most of whom had a lifetime history of dependence to nicotine. A further subgroup also had a lifetime history of dependence to cocaine and/or opiates. Individuals with AD had lower FA throughout the corpus callosum, and negative associations with alcohol and nicotine exposure were found. A group‐by‐age interaction effect was found showing greater reductions with age in the alcohol‐dependent group within corpus callosum, overlapping with the group difference. We found no evidence of recovery with abstinence. A comparison of alcohol‐only‐ and alcohol‐polydrug‐dependent groups found no differences in FA. Overall, our findings show that AD is associated with lower FA and suggest that these alterations are primarily driven by lifetime alcohol consumption and cigarette smoking, showing no relationship with exposure to other substances such as cocaine, opiates or cannabis. Reductions in FA across the adult lifespan are more pronounced in AD and offer further support for the notion of accelerated ageing in relation to alcohol dependence. These findings highlight there may be lasting structural differences in white matter in alcohol dependence, despite continued abstinence.
Collapse
Affiliation(s)
- Kofoworola Agunbiade
- Division of Psychiatry, Department of Brain Sciences Imperial College London London UK
| | - Leon Fonville
- Division of Psychiatry, Department of Brain Sciences Imperial College London London UK
| | - John McGonigle
- Division of Psychiatry, Department of Brain Sciences Imperial College London London UK
| | - Rebecca Elliott
- Neuroscience and Psychiatry Unit, Institute of Brain, Behaviour and Mental Health University of Manchester Manchester UK
| | - Karen D. Ersche
- Behavioural and Clinical Neuroscience Institute University of Cambridge Cambridge UK
- Department of Psychiatry University of Cambridge Cambridge UK
- Department of Systems Neuroscience University Medical Centre Hamburg‐Eppendorf Hamburg Germany
| | - Remy Flechais
- Division of Psychiatry, Department of Brain Sciences Imperial College London London UK
| | - Csaba Orban
- Division of Psychiatry, Department of Brain Sciences Imperial College London London UK
| | - Anna Murphy
- Neuroscience and Psychiatry Unit, Institute of Brain, Behaviour and Mental Health University of Manchester Manchester UK
| | - Dana G. Smith
- Behavioural and Clinical Neuroscience Institute University of Cambridge Cambridge UK
- Department of Psychology University of Cambridge Cambridge UK
| | - John Suckling
- Behavioural and Clinical Neuroscience Institute University of Cambridge Cambridge UK
- Department of Psychiatry University of Cambridge Cambridge UK
| | - Eleanor M. Taylor
- Neuroscience and Psychiatry Unit, Institute of Brain, Behaviour and Mental Health University of Manchester Manchester UK
| | - Bill Deakin
- Neuroscience and Psychiatry Unit, Institute of Brain, Behaviour and Mental Health University of Manchester Manchester UK
| | - Trevor W. Robbins
- Behavioural and Clinical Neuroscience Institute University of Cambridge Cambridge UK
- Department of Psychology University of Cambridge Cambridge UK
| | - David J. Nutt
- Division of Psychiatry, Department of Brain Sciences Imperial College London London UK
| | | | - Louise M. Paterson
- Division of Psychiatry, Department of Brain Sciences Imperial College London London UK
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
26
|
Gibson BC, Claus ED, Sanguinetti J, Witkiewitz K, Clark VP. A review of functional brain differences predicting relapse in substance use disorder: Actionable targets for new methods of noninvasive brain stimulation. Neurosci Biobehav Rev 2022; 141:104821. [PMID: 35970417 DOI: 10.1016/j.neubiorev.2022.104821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 08/03/2022] [Accepted: 08/06/2022] [Indexed: 11/17/2022]
Abstract
Neuroimaging studies have identified a variety of brain regions whose activity predicts substance use (i.e., relapse) in patients with substance use disorder (SUD), suggesting that malfunctioning brain networks may exacerbate relapse. However, this knowledge has not yet led to a marked improvement in treatment outcomes. Noninvasive brain stimulation (NIBS) has shown some potential for treating SUDs, and a new generation of NIBS technologies offers the possibility of selectively altering activity in both superficial and deep brain structures implicated in SUDs. The goal of the current review was to identify deeper brain structures involved in relapse to SUD and give an account of innovative methods of NIBS that might be used to target them. Included studies measured fMRI in currently abstinent SUD patients and tracked treatment outcomes, and fMRI results were organized with the framework of the Addictions Neuroclinical Assessment (ANA). Four brain structures were consistently implicated: the anterior and posterior cingulate cortices, ventral striatum and insula. These four deeper brain structures may be appropriate future targets for the treatment of SUD using these innovative NIBS technologies.
Collapse
Affiliation(s)
- Benjamin C Gibson
- Psychology Clinical Neuroscience Center, Department of Psychology, University of New Mexico, Albuquerque, NM 87131, USA; Department of Psychology, University of New Mexico, Albuquerque, NM 87131, USA; The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM 87106, USA
| | - Eric D Claus
- Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA 16802, USA
| | - Jay Sanguinetti
- The Center for Consciousness Studies, University of Arizona, Tucson, AZ 85719, USA
| | - Katie Witkiewitz
- Department of Psychology, University of New Mexico, Albuquerque, NM 87131, USA
| | - Vincent P Clark
- Psychology Clinical Neuroscience Center, Department of Psychology, University of New Mexico, Albuquerque, NM 87131, USA; Department of Psychology, University of New Mexico, Albuquerque, NM 87131, USA; The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM 87106, USA.
| |
Collapse
|
27
|
Hüpen P, Habel U, Votinov M, Kable JW, Wagels L. A Systematic Review on Common and Distinct Neural Correlates of Risk-taking in Substance-related and Non-substance Related Addictions. Neuropsychol Rev 2022; 33:492-513. [PMID: 35906511 PMCID: PMC10148787 DOI: 10.1007/s11065-022-09552-5] [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: 06/25/2021] [Accepted: 05/24/2022] [Indexed: 12/01/2022]
Abstract
Both substance-related as well as non-substance-related addictions may include recurrent engagement in risky actions despite adverse outcomes. We here apply a unified approach and review task-based neuroimaging studies on substance-related (SRAs) and non-substance related addictions (NSRAs) to examine commonalities and differences in neural correlates of risk-taking in these two addiction types. To this end, we conducted a systematic review adhering to the PRISMA guidelines. Two databases were searched with predefined search terms to identify neuroimaging studies on risk-taking tasks in individuals with addiction disorders. In total, 19 studies on SRAs (comprising a total of 648 individuals with SRAs) and 10 studies on NSRAs (comprising a total of 187 individuals with NSRAs) were included. Risk-related brain activation in SRAs and NSRAs was summarized individually and subsequently compared to each other. Results suggest convergent altered risk-related neural processes, including hyperactivity in the OFC and the striatum. As characteristic for both addiction types, these brain regions may represent an underlying mechanism of suboptimal decision-making. In contrast, decreased DLPFC activity may be specific to SRAs and decreased IFG activity could only be identified for NSRAs. The precuneus and posterior cingulate show elevated activity in SRAs, while findings regarding these areas were mixed in NSRAs. Additional scarce evidence suggests decreased ventral ACC activity and increased dorsal ACC activity in both addiction types. Associations between identified activation patterns with drug use severity underpin the clinical relevance of these findings. However, this exploratory evidence should be interpreted with caution and should be regarded as preliminary. Future research is needed to evaluate the findings gathered by this review.
Collapse
Affiliation(s)
- Philippa Hüpen
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany. .,JARA - Translational Brain Medicine, Aachen, Germany.
| | - Ute Habel
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany.,Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany
| | - Mikhail Votinov
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany.,Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany
| | - Joseph W Kable
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Lisa Wagels
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany.,Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany
| |
Collapse
|
28
|
Biomarkers of Relapse in Cocaine Use Disorder: A Narrative Review. Brain Sci 2022; 12:brainsci12081013. [PMID: 36009076 PMCID: PMC9405750 DOI: 10.3390/brainsci12081013] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 07/21/2022] [Accepted: 07/27/2022] [Indexed: 12/10/2022] Open
Abstract
Introduction: Cocaine use disorder is a chronic disease with severe consequences and a high relapse rate. There is a critical need to explore the factors influencing relapse in order to achieve more efficient treatment outcomes. Furthermore, there is a great need for easy-to-measure, repeatable, and valid biomarkers that can predict treatment response or relapse. Methods: We reviewed the available literature on the Pubmed database concerning the biomarkers associated with relapse in CUD, including central nervous system-derived, genetic, immune, oxidative stress, and “other” biomarkers. Results: Fifty-one articles were included in our analysis. Twenty-five imaging brain anatomic and function assessment studies, mostly using fMRI, examined the role of several structures such as the striatum activity in abstinence prediction. There were fewer studies assessing the use of neuropsychological factors, neurotrophins, or genetic/genomic factors, immune system, or oxidative stress measures to predict abstinence. Conclusion: Several biomarkers have been shown to have predictive value. Prospective studies using combined multimodal assessments are now warranted.
Collapse
|
29
|
Zhou Y, Hu Y, Wang Q, Yang Z, Li J, Ma Y, Wu Q, Chen S, Yang D, Hao Y, Wang Y, Li M, Peng P, Liu T, Yang WFZ. Association between white matter microstructure and cognitive function in patients with methamphetamine use disorder. Hum Brain Mapp 2022; 44:304-314. [PMID: 35838008 PMCID: PMC9842920 DOI: 10.1002/hbm.26020] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 06/15/2022] [Accepted: 06/28/2022] [Indexed: 01/25/2023] Open
Abstract
Methamphetamine use disorder (MUD) has been associated with broad neurocognitive impairments. While the cognitive impairments of MUD have been demonstrated, the neuropathological underpinnings remain inadequately understood. To date, the published human diffusion tensor imaging (DTI) studies involving the correlation between diffusion parameters and neurocognitive function in MUD are limited. Hence, the present study aimed to examine the association between cognitive performance and white matter microstructure in patients with MUD. Forty-five patients with MUD and 43 healthy controls (HCs) completed their demographic information collection, cognitive assessments, and DTI imaging. DTI images were preprocessed to extract fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) of various fiber tracts. Univariate tests were used to examine group differences in cognitive assessments and DTI metrics. Linear regression was used to examine the relationship between these two metrics. The results revealed that patients with MUD had lower subset scores of the MATRICS Consensus Cognitive Battery (MCCB), which reflects five cognitive domains: processing speed, attention, verbal learning, visual learning, problem-solving. Patients with MUD also had significantly higher AD, MD, and RD values of the left superior longitudinal fasciculus than HCs. Furthermore, the RD value of the left superior longitudinal fasciculus was a significant predictor of processing speed and problem-solving ability, as shown by the digit-symbol coding test and NAB-Mazes scores, respectively. Findings extended our understanding of white matter microstructure that is related to neurocognitive deficits in MUD and provided potential targets for the prevention and treatment of this chronic disorder.
Collapse
Affiliation(s)
- Yanan Zhou
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina,Department of PsychiatryBrain Hospital of Hunan Province (The Second People's Hospital of Hunan Province)ChangshaChina
| | - Yang Hu
- Laboratory of Psychological Heath and Imaging, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Qianjin Wang
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Zhi Yang
- Laboratory of Psychological Heath and Imaging, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jinguang Li
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Yuejiao Ma
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Qiuxia Wu
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Shubao Chen
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Dong Yang
- Department of PsychiatryBrain Hospital of Hunan Province (The Second People's Hospital of Hunan Province)ChangshaChina
| | - Yuzhu Hao
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Yunfei Wang
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Manyun Li
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Pu Peng
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Tieqiao Liu
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Winson Fu Zun Yang
- Department of Psychological Sciences, College of Arts & SciencesTexas Tech UniversityLubbockTexasUSA
| |
Collapse
|
30
|
Abstract
Diffusion tractography allows identification and measurement of structural tracts in the human brain previously associated with motivated behavior in animal models. Recent findings indicate that the structural properties of a tract connecting the midbrain to nucleus accumbens (NAcc) are associated with a diagnosis of stimulant use disorder (SUD), but not relapse. In this preregistered study, we used diffusion tractography in a sample of patients treated for SUD (n = 60) to determine whether qualities of tracts projecting from medial prefrontal, anterior insular, and amygdalar cortices to NAcc might instead foreshadow relapse. As predicted, reduced diffusion metrics of a tract projecting from the right anterior insula to the NAcc were associated with subsequent relapse to stimulant use, but not with previous diagnosis. These findings highlight a structural target for predicting relapse to stimulant use and further suggest that distinct connections to the NAcc may confer risk for relapse versus diagnosis.
Collapse
|
31
|
Hall SA, Bell RP, Gadde S, Towe SL, Nadeem MT, McCann PS, Song AW, Meade CS. Strengthened and posterior-shifted structural rich-club organization in people who use cocaine. Drug Alcohol Depend 2022; 235:109436. [PMID: 35413558 PMCID: PMC9948276 DOI: 10.1016/j.drugalcdep.2022.109436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 03/18/2022] [Accepted: 03/30/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND People with cocaine use disorder (CUD) often have abnormal cognitive function and brain structure. Cognition is supported by brain networks that typically have characteristics like rich-club organization, which is a group of regions that are highly connected across the brain and to each other, and small worldness, which is a balance between local and long-distance connections. However, it is unknown whether there are abnormalities in structural brain network connectivity of CUD. METHODS Using diffusion-weighted imaging, we measured structural connectivity in 37 people with CUD and 38 age-matched controls. We identified differences in rich-club organization and whether such differences related to small worldness and behavior. We also tested whether rich-club reorganization was associated with caudate and putamen structural connectivity due to the relevance of the dopamine system to cocaine use. RESULTS People with CUD had a higher normalized rich-club coefficient than controls, more edges connecting rich-club nodes to each other and to non-rich-club nodes, and fewer edges connecting non-rich-club nodes. Rich-club nodes were shifted posterior and lateral. Rich-club reorganization was related to lower clustered connectivity around individual nodes found in CUD, to increased impulsivity, and to a decrease in caudate connectivity. CONCLUSIONS These findings are consistent with previous work showing increased rich-club connectivity in conditions associated with a hypofunctional dopamine system. The posterior shift in rich-club nodes in CUD suggests that the structural connectivity of posterior regions may be more impacted than previously recognized in models based on brain function and morphology.
Collapse
Affiliation(s)
- Shana A. Hall
- Duke University School of Medicine, Department of Psychiatry and Behavioral Sciences. Campus Box 102848, Durham, NC 27710, USA
| | - Ryan P. Bell
- Duke University School of Medicine, Department of Psychiatry and Behavioral Sciences. Campus Box 102848, Durham, NC 27710, USA
| | - Syam Gadde
- Brain Imaging and Analysis Center, Duke University Medical Center. Campus Box 3918, Durham, NC 27710, USA
| | - Sheri L. Towe
- Duke University School of Medicine, Department of Psychiatry and Behavioral Sciences. Campus Box 102848, Durham, NC 27710, USA
| | - Muhammad Tauseef Nadeem
- Duke University School of Medicine, Department of Psychiatry and Behavioral Sciences. Campus Box 102848, Durham, NC 27710, USA
| | - Peter S. McCann
- Duke University Hospital. 2301 Erwin Rd, Durham, NC 27710, USA
| | - Allen W. Song
- Brain Imaging and Analysis Center, Duke University Medical Center. Campus Box 3918, Durham, NC 27710, USA
| | - Christina S. Meade
- Duke University School of Medicine, Department of Psychiatry and Behavioral Sciences. Campus Box 102848, Durham, NC 27710, USA.,Brain Imaging and Analysis Center, Duke University Medical Center. Campus Box 3918, Durham, NC 27710, USA
| |
Collapse
|
32
|
Aberrant Structural Connectivity of the Triple Network System in Borderline Personality Disorder Is Associated with Behavioral Dysregulation. J Clin Med 2022; 11:jcm11071757. [PMID: 35407365 PMCID: PMC8999477 DOI: 10.3390/jcm11071757] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 03/18/2022] [Accepted: 03/18/2022] [Indexed: 12/15/2022] Open
Abstract
Background: Core symptoms of Borderline Personality Disorder (BPD) are associated to aberrant connectivity of the triple network system (salience network [SN], default mode network [DMN], executive control network [ECN]). While functional abnormalities are widely reported, structural connectivity (SC) and anatomical changes have not yet been investigated. Here, we explored the triple network’s SC, structure, and its association with BPD clinical features. Methods: A total of 60 BPD and 26 healthy controls (HC) underwent a multidomain neuropsychological and multimodal MRI (diffusion- and T1-weighted imaging) assessment. Metrics (fractional anisotropy [FA], mean diffusivity [MD], cortical thickness) were extracted from SN, DMN, ECN (triple network), and visual network (control network) using established atlases. Multivariate general linear models were conducted to assess group differences in metrics and associations with clinical features. Results: Patients showed increased MD in the anterior SN, dorsal DMN, and right ECN compared to HC. Diffusivity increases were more pronounced in patients with higher behavioral dysregulation, i.e., suicidal attempting, self-harm, and aggressiveness. No differences were detected in network structure. Conclusions: These results indicate that the triple network system is impaired in BPD at the microstructural level. The preferential involvement of anterior and right-lateralized subsystems and their clinical association suggests that these abnormalities could contribute to behavioral dysregulation.
Collapse
|
33
|
Rasgado-Toledo J, Shah A, Ingalhalikar M, Garza-Villarreal EA. Neurite orientation dispersion and density imaging in cocaine use disorder. Prog Neuropsychopharmacol Biol Psychiatry 2022; 113:110474. [PMID: 34758367 DOI: 10.1016/j.pnpbp.2021.110474] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 10/29/2021] [Accepted: 11/01/2021] [Indexed: 01/01/2023]
Abstract
Cocaine use disorder (CUD) is characterized by a compulsive search for cocaine. Several studies have shown that cocaine users exhibit cognitive deficits, including lack of inhibition and decision-making as well as brain volume and diffusion-based white-matter alterations in a wide variety of brain regions. However, the non-specificity of standard volumetric and diffusion-tensor methods to detect structural micropathology may lead to wrong conclusions. To better understand microstructural pathology in CUD, we analyzed 60 CUD participants (3 female) and 43 non-CUD controls (HC; 2 female) retrospectively from our cross-sectional Mexican SUD neuroimaging dataset (SUDMEX-CONN), using multi-shell diffusion-weighted imaging and the neurite orientation dispersion and density imaging (NODDI) analysis, which aims to more accurately model microstructural pathology. We used Viso values of NODDI that employ a three-compartment model in white (WM) and gray-matter (GM). These values were also correlated with clinical measures, including psychiatric severity status, impulsive behavior and pattern of cocaine and tobacco use in the CUD group. We found higher whole-brain microstructural pathology in WM and GM in CUD patients than controls. ROI analysis revealed higher Viso-NODDI values in superior longitudinal fasciculus, cingulum, hippocampus cingulum, forceps minor and Uncinate fasciculus, as well as in frontal and parieto-temporal GM structures. We also found correlations between significant ROI and impulsivity, onset age of cocaine use and weekly dosage with Viso-NODDI. However, we did not find correlations with psychopathology measures. Overall, although their clinical relevance remains questionable, microstructural pathology seems to be present in CUD both in gray and white matter.
Collapse
Affiliation(s)
- Jalil Rasgado-Toledo
- Instituto de Neurobiología, Universidad Nacional Autónoma de México campus Juriquilla, Querétaro, Mexico
| | - Apurva Shah
- Symbiosis Center for Medical Image Analysis, Symbiosis Institute of Technology, Symbiosis International University, Pune, Maharashtra, India
| | - Madhura Ingalhalikar
- Symbiosis Center for Medical Image Analysis, Symbiosis Institute of Technology, Symbiosis International University, Pune, Maharashtra, India
| | - Eduardo A Garza-Villarreal
- Instituto de Neurobiología, Universidad Nacional Autónoma de México campus Juriquilla, Querétaro, Mexico.
| |
Collapse
|
34
|
Okudzhava L, Heldmann M, Münte TF. A systematic review of diffusion tensor imaging studies in obesity. Obes Rev 2022; 23:e13388. [PMID: 34908217 DOI: 10.1111/obr.13388] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 10/18/2021] [Indexed: 12/29/2022]
Abstract
Obesity is a major global health problem leading to serious complications. It has been consistently associated with alterations in brain structure. Diffusion tensor imaging is used to examine brain white matter microstructure by assessing the dynamics of water diffusion in white matter tracts. Fractional anisotropy and mean diffusivity are two parameters measuring the directionality and rate of diffusion, respectively. Changes in these indices associated with obesity have been previously reported in numerous fiber tracts. This systematic review investigates microstructural white matter alterations in obesity using diffusion tensor imaging. A computerized search was performed in PubMed, Web of Science, and Livivo databases. Based on the inclusion/exclusion criteria, 31 cross-sectional studies comparing individuals with obesity and lean controls were identified. The studies included mixed-gender samples of children, young, middle-aged, and older adults. The majority of included studies reported decreased fractional anisotropy and increased mean diffusivity associated with elevated body mass index, suggesting white matter abnormalities. Nevertheless, a pattern of alterations is inconsistent across studies. This could be explained by several potential biases assessed by the National Institute of Health quality assessment tool. Furthermore, a direct assessment of body fat is recommended for a more accurate characterization of the brain-body relationship.
Collapse
Affiliation(s)
- Liana Okudzhava
- Department of Neurology, University of Lübeck, Lübeck, Germany
| | - Marcus Heldmann
- Department of Neurology, University of Lübeck, Lübeck, Germany.,Department of Psychology, University of Lübeck, Lübeck, Germany
| | - Thomas F Münte
- Department of Neurology, University of Lübeck, Lübeck, Germany.,Department of Psychology, University of Lübeck, Lübeck, Germany
| |
Collapse
|
35
|
Spindler C, Mallien L, Trautmann S, Alexander N, Muehlhan M. A coordinate-based meta-analysis of white matter alterations in patients with alcohol use disorder. Transl Psychiatry 2022; 12:40. [PMID: 35087021 PMCID: PMC8795454 DOI: 10.1038/s41398-022-01809-0] [Citation(s) in RCA: 3] [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: 07/28/2021] [Revised: 01/04/2022] [Accepted: 01/13/2022] [Indexed: 12/18/2022] Open
Abstract
INTRODUCTION Besides the commonly described gray matter (GM) deficits, there is growing evidence of significant white matter (WM) alterations in patients with alcohol use disorder (AUD). WM changes can be assessed using volumetric and diffusive magnetic resonance imaging methods, such as voxel-based morphometry (VBM) and diffusion tensor imaging (DTI). The aim of the present meta-analysis is to investigate the spatial convergence of the reported findings on WM alterations in AUD. METHODS Systematic literature search on PubMed and further databases revealed 18 studies eligible for inclusion, entailing a total of 462 AUD patients and 416 healthy controls (up to January 18, 2021). All studies that had used either VBM or DTI whole-brain analyzing methods and reported results as peak-coordinates in standard reference space were considered for inclusion. We excluded studies using approaches non-concordant with recent guidelines for neuroimaging meta-analyses and studies investigating patient groups with Korsakoff syndrome or other comorbid substance use disorders (except tobacco). RESULTS Anatomical likelihood estimation (ALE) revealed four significant clusters of convergent macro- and microstructural WM alterations in AUD patients that were assigned to the genu and body of the corpus callosum, anterior and posterior cingulum, fornix, and the right posterior limb of the internal capsule. DISCUSSION The changes in WM could to some extent explain the deteriorations in motor, cognitive, affective, and perceptual functions seen in AUD. Future studies are needed to clarify how WM alterations vary over the course of the disorder and to what extent they are reversible with prolonged abstinence.
Collapse
Affiliation(s)
- Carolin Spindler
- grid.461732.5Department of Psychology, Faculty of Human Sciences, Medical School Hamburg, Am Kaiserkai 1, 20457 Hamburg, Germany ,grid.461732.5ICAN Institute for Cognitive and Affective Neuroscience, Medical School Hamburg, Am Kaiserkai 1, 20457 Hamburg, Germany
| | - Louisa Mallien
- grid.461732.5Department of Human Medicine, Faculty of Medicine, Medical School Hamburg, Am Kaiserkai 1, 20457 Hamburg, Germany
| | - Sebastian Trautmann
- grid.461732.5Department of Psychology, Faculty of Human Sciences, Medical School Hamburg, Am Kaiserkai 1, 20457 Hamburg, Germany ,grid.461732.5ICPP Institute for Clinical Psychology and Psychotherapy, Medical School Hamburg, Am Kaiserkai 1, 20457 Hamburg, Germany
| | - Nina Alexander
- grid.461732.5Department of Psychology, Faculty of Human Sciences, Medical School Hamburg, Am Kaiserkai 1, 20457 Hamburg, Germany ,grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps University Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany ,grid.10253.350000 0004 1936 9756Center for Mind, Brain and Behavior, Philipps University Marburg, Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Markus Muehlhan
- Department of Psychology, Faculty of Human Sciences, Medical School Hamburg, Am Kaiserkai 1, 20457, Hamburg, Germany. .,ICAN Institute for Cognitive and Affective Neuroscience, Medical School Hamburg, Am Kaiserkai 1, 20457, Hamburg, Germany.
| |
Collapse
|
36
|
The neurobiology of drug addiction: cross-species insights into the dysfunction and recovery of the prefrontal cortex. Neuropsychopharmacology 2022; 47:276-291. [PMID: 34408275 PMCID: PMC8617203 DOI: 10.1038/s41386-021-01153-9] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 08/02/2021] [Accepted: 08/06/2021] [Indexed: 01/03/2023]
Abstract
A growing preclinical and clinical body of work on the effects of chronic drug use and drug addiction has extended the scope of inquiry from the putative reward-related subcortical mechanisms to higher-order executive functions as regulated by the prefrontal cortex. Here we review the neuroimaging evidence in humans and non-human primates to demonstrate the involvement of the prefrontal cortex in emotional, cognitive, and behavioral alterations in drug addiction, with particular attention to the impaired response inhibition and salience attribution (iRISA) framework. In support of iRISA, functional and structural neuroimaging studies document a role for the prefrontal cortex in assigning excessive salience to drug over non-drug-related processes with concomitant lapses in self-control, and deficits in reward-related decision-making and insight into illness. Importantly, converging insights from human and non-human primate studies suggest a causal relationship between drug addiction and prefrontal insult, indicating that chronic drug use causes the prefrontal cortex damage that underlies iRISA while changes with abstinence and recovery with treatment suggest plasticity of these same brain regions and functions. We further dissect the overlapping and distinct characteristics of drug classes, potential biomarkers that inform vulnerability and resilience, and advancements in cutting-edge psychological and neuromodulatory treatment strategies, providing a comprehensive landscape of the human and non-human primate drug addiction literature as it relates to the prefrontal cortex.
Collapse
|
37
|
Cousijn J, Toenders YJ, Velzen LS, Kaag AM. The relation between cannabis use, dependence severity and white matter microstructure: A diffusion tensor imaging study. Addict Biol 2022; 27:e13081. [PMID: 34402136 PMCID: PMC9285423 DOI: 10.1111/adb.13081] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 06/30/2021] [Accepted: 07/14/2021] [Indexed: 01/12/2023]
Abstract
Despite the significant societal and personal burden of cannabis use, the impact of long‐term use and Cannabis Use Disorder (CUD) on white matter microstructure is still unclear. Previous studies show inconsistent findings, in part due to heterogeneity in methodology, variable severity of cannabis use, and potential confounding effects of other mental health issues and substance use. The goal of this diffusion tensor imaging (DTI) study was to compare whole‐brain white matter microstructure between 39 near daily cannabis users and 28 controls closely matched on age, sex, alcohol use, cigarette use and mental health. Within the group of cannabis users, associations between white matter microstructure and recent cannabis use, dependence severity, and age of onset and duration of weekly use were investigated. White matter microstructure did not differ between cannabis users and controls and did not covary with recent cannabis use, dependence severity, or duration of use. Earlier onset of weekly cannabis use was related to lower fractional anisotropy (FA) in various sections of the right inferior longitudinal fasciculus and uncinate fasciculus. These findings suggest that long‐term near‐daily cannabis use does not necessarily affect white matter microstructure, but vulnerability may be higher during adolescence. These findings underscore the importance of sample composition and warrant further studies that investigate the moderating role of age of onset in the impact of cannabis on the brain.
Collapse
Affiliation(s)
- Janna Cousijn
- Neuroscience of Addiction (NofA) Lab, Department of Psychology, Education & Child Studies Erasmus University Rotterdam Rotterdam The Netherlands
- Department of Psychology University of Amsterdam Amsterdam The Netherlands
| | - Yara J. Toenders
- Orygen, The National Centre of Excellence in Youth Mental Health Parkville Victoria Australia
- Centre for Youth Mental Health The University of Melbourne Parkville Victoria Australia
| | - Laura S. Velzen
- Orygen, The National Centre of Excellence in Youth Mental Health Parkville Victoria Australia
- Centre for Youth Mental Health The University of Melbourne Parkville Victoria Australia
| | - Anne Marije Kaag
- Department of Clinical, Neuro‐ and Developmental Psychology, Faculty of Behavioral and Movement Sciences, Institute for Brain and Behavior Amsterdam Vrije Universiteit Amsterdam The Netherlands
| |
Collapse
|
38
|
Schulz J, Zimmermann J, Sorg C, Menegaux A, Brandl F. Magnetic resonance imaging of the dopamine system in schizophrenia - A scoping review. Front Psychiatry 2022; 13:925476. [PMID: 36203848 PMCID: PMC9530597 DOI: 10.3389/fpsyt.2022.925476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 07/08/2022] [Indexed: 11/30/2022] Open
Abstract
For decades, aberrant dopamine transmission has been proposed to play a central role in schizophrenia pathophysiology. These theories are supported by human in vivo molecular imaging studies of dopamine transmission, particularly positron emission tomography. However, there are several downsides to such approaches, for example limited spatial resolution or restriction of the measurement to synaptic processes of dopaminergic neurons. To overcome these limitations and to measure complementary aspects of dopamine transmission, magnetic resonance imaging (MRI)-based approaches investigating the macrostructure, metabolism, and connectivity of dopaminergic nuclei, i.e., substantia nigra pars compacta and ventral tegmental area, can be employed. In this scoping review, we focus on four dopamine MRI methods that have been employed in patients with schizophrenia so far: neuromelanin MRI, which is thought to measure long-term dopamine function in dopaminergic nuclei; morphometric MRI, which is assumed to measure the volume of dopaminergic nuclei; diffusion MRI, which is assumed to measure fiber-based structural connectivity of dopaminergic nuclei; and resting-state blood-oxygenation-level-dependent functional MRI, which is thought to measure functional connectivity of dopaminergic nuclei based on correlated blood oxygenation fluctuations. For each method, we describe the underlying signal, outcome measures, and downsides. We present the current state of research in schizophrenia and compare it to other disorders with either similar (psychotic) symptoms, i.e., bipolar disorder and major depressive disorder, or dopaminergic abnormalities, i.e., substance use disorder and Parkinson's disease. Finally, we discuss overarching issues and outline future research questions.
Collapse
Affiliation(s)
- Julia Schulz
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Juliana Zimmermann
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Christian Sorg
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany.,Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
| | - Aurore Menegaux
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Felix Brandl
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany.,Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
| |
Collapse
|
39
|
Morgello S, Buyukturkoglu K, Murray J, Veenstra M, Berman JW, Byrd D, Inglese M. MR spectroscopy and diffusion imaging in people with human immunodeficiency virus: Relationships to clinical and immunologic findings. J Neuroimaging 2022; 32:158-170. [PMID: 34520593 PMCID: PMC8752497 DOI: 10.1111/jon.12931] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 08/20/2021] [Accepted: 08/25/2021] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND AND PURPOSE People with human immunodeficiency virus (HIV; PWH) present a complex array of immunologic and medical disorders that impact brain structure and metabolism, complicating the interpretation of neuroimaging. This pilot study of well-characterized multi-morbid PWH examined how medical and immunologic factors predicted brain characteristics on proton MR spectroscopy (1H-MRS) and diffusion-weighted imaging (DWI). METHODS Eighteen individuals on combination antiretroviral therapy (cART), with mean age of 56 years, underwent medical history review, neuroimaging, and on the day of imaging, blood draw for assay of 20 plasma cytokines and flow cytometric characterization of peripheral blood mononuclear cell subsets. Predictors of n-acetyl aspartate, choline, myoinositol, glutamate/glutamine, fractional anisotropy and mean diffusivity were identified through bivariate correlation; those significant at p < .1000 were advanced to multivariate analysis, with models created for each neuroimaging outcome. RESULTS Monocyte subsets and diverse cytokines accounted for 16 of 25 (64%) variables predicting 1H-MRS spectra in frontal gray and white matter and basal ganglia; monocyte subsets did not predict any DWI characteristic. In contrast, age, presence of hypertension, and duration of HIV infection accounted for 13 of 25 (52%) variables predicting diffusion characteristics in the corpus callosum, thalamic radiations, and basal ganglia but only 3 of 25 (12%) predictors of 1H-MRS features. CONCLUSIONS 1H-MRS neurometabolites were most often predicted by immunologic factors sensitive to temporal variation, whereas DWI metrics were more often related to longer-term disease state. In multi-morbid cART-era populations, selection and interpretation of neuroimaging modalities should account for complex temporal and pathogenetic influences of immunologic abnormality, disease state, and aging.
Collapse
Affiliation(s)
- Susan Morgello
- Department of Neurology, The Icahn School of Medicine at Mount Sinai, New York City, New York,Departments of Neuroscience and Pathology, The Icahn School of Medicine at Mount Sinai, New York City, New York
| | | | - Jacinta Murray
- Department of Neurology, The Icahn School of Medicine at Mount Sinai, New York City, New York
| | - Mike Veenstra
- Departments of Pathology, Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, New York
| | - Joan W. Berman
- Departments of Pathology, Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, New York
| | - Desiree Byrd
- Department of Neurology, The Icahn School of Medicine at Mount Sinai, New York City, New York,Department of Psychology, Queens College and the Graduate Center, City University of New York, Queens, New York
| | - Matilde Inglese
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa, Italy
| |
Collapse
|
40
|
Cornish JL, Prasad AA. Sex Differences in Substance Use Disorders: A Neurobiological Perspective. Front Glob Womens Health 2021; 2:778514. [PMID: 34957467 PMCID: PMC8692274 DOI: 10.3389/fgwh.2021.778514] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 11/08/2021] [Indexed: 11/20/2022] Open
Abstract
Clinical studies provide fundamental knowledge of substance use behaviors (substance of abuse, patterns of use, relapse rates). The combination of neuroimaging approaches reveal correlation between substance use disorder (SUD) and changes in neural structure, function, and neurotransmission. Here, we review these advances, placing special emphasis on sex specific findings from structural neuroimaging studies of those dependent on alcohol, nicotine, cannabis, psychostimulants, or opioids. Recent clinical studies in SUD analyzing sex differences reveal neurobiological changes that are differentially impacted in common reward processing regions such as the striatum, hippocampus, amygdala, insula, and corpus collosum. We reflect on the contribution of sex hormones, period of drug use and abstinence, and the potential impact of these factors on the interpretation of the reported findings. With the overall recognition that SUD impacts the brains of females and males differentially, it is of fundamental importance that future research is designed with sex as a variable of study in this field. Improved understanding of neurobiological changes in males and females in SUD will advance knowledge underlying sex-specific susceptibility and the neurobiological impact in these disorders. Together these findings will inform future treatments that are tailor designed for improved efficacy in females and males with SUD.
Collapse
Affiliation(s)
- Jennifer L Cornish
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Asheeta A Prasad
- School of Psychology, University of New South Wales, Sydney, NSW, Australia.,Faculty of Medicine and Health, School of Medical Sciences, University of Sydney, Sydney, NSW, Australia
| |
Collapse
|
41
|
Gerhardt S, Karl D, Mann K, Kiefer F, Vollstädt-Klein S. Association Between Functional and Structural Brain Connectivity of the Default Mode Network in Non-treatment Seeking Individuals With Alcohol Use Disorder. Alcohol Alcohol 2021; 57:540-551. [PMID: 34929740 DOI: 10.1093/alcalc/agab079] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 11/04/2021] [Accepted: 11/12/2021] [Indexed: 12/20/2022] Open
Abstract
AIMS Alcohol use disorder (AUD) is associated with alterations within the default mode network (DMN) at rest. Also, impaired white matter structures have been observed in individuals with AUD. This study developed a workflow for examining the relation between functional and structural connectivity, exemplary for nodes of the DMN within a sample of non-treatment seeking individuals with AUD. Furthermore, AUD severity was correlated with both measures independently. METHODS The functional magnetic resonance imaging (fMRI) protocol included anatomical, resting state and diffusion weighted imaging measurements. Independent component analyses and deterministic fiber tracking as well as correlation analyses, including the severity of AUD, were performed. N = 18 out of 23 adult study participants took part in the fMRI examination, and N = 15 were included in the final analyses. RESULTS Established resting-state networks were reliably identified in our sample. Structural connections were found between several nodes of the DMN, whereas only fibers between the medial prefrontal cortex and the posterior cingulate cortex were reliably detected in all individuals. A negative correlation was observed between brain activation during rest and AUD severity in left parietal and temporal regions and the putamen. A more severe AUD predicted impairments in white matter integrity of the cingulum. CONCLUSION In AUD, information obtained from a combination of resting-state, diffusion weighted data and clinical information has great potential to provide a more profound understanding of the disorder since alterations may already become apparent at earlier stages of the disorder, e.g. in non-treatment seeking individuals. SUMMARY Alcohol use disorder leads to alterations in the default mode network of the resting brain that is associated with the severity of the disorder. Following our workflow, white matter impairments can be observed between some of the nodes of the default mode network using diffusion tensor imaging. Both, resting-state functional and structural connectivity relate to the severity of alcohol use disorder.
Collapse
Affiliation(s)
- Sarah Gerhardt
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Quadrat J 5, 68159 Mannheim, Germany
| | - Damian Karl
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Quadrat J 5, 68159 Mannheim, Germany
| | - Karl Mann
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Quadrat J 5, 68159 Mannheim, Germany
| | - Falk Kiefer
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Quadrat J 5, 68159 Mannheim, Germany.,Mannheim Center for Translational Neurosciences (MCTN), Medical Faculty Mannheim, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany.,Feuerlein Center on Translational Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Quadrat J 5, 68159 Mannheim, Germany
| | - Sabine Vollstädt-Klein
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Quadrat J 5, 68159 Mannheim, Germany.,Mannheim Center for Translational Neurosciences (MCTN), Medical Faculty Mannheim, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| |
Collapse
|
42
|
Nutt D, Hayes A, Fonville L, Zafar R, Palmer EO, Paterson L, Lingford-Hughes A. Alcohol and the Brain. Nutrients 2021; 13:3938. [PMID: 34836193 PMCID: PMC8625009 DOI: 10.3390/nu13113938] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/01/2021] [Accepted: 11/02/2021] [Indexed: 12/20/2022] Open
Abstract
Alcohol works on the brain to produce its desired effects, e.g., sociability and intoxication, and hence the brain is an important organ for exploring subsequent harms. These come in many different forms such as the consequences of damage during intoxication, e.g., from falls and fights, damage from withdrawal, damage from the toxicity of alcohol and its metabolites and altered brain structure and function with implications for behavioral processes such as craving and addiction. On top of that are peripheral factors that compound brain damage such as poor diet, vitamin deficiencies leading to Wernicke-Korsakoff syndrome. Prenatal alcohol exposure can also have a profound impact on brain development and lead to irremediable changes of fetal alcohol syndrome. This chapter briefly reviews aspects of these with a particular focus on recent brain imaging results. Cardiovascular effects of alcohol that lead to brain pathology are not covered as they are dealt with elsewhere in the volume.
Collapse
Affiliation(s)
- David Nutt
- Neuropsychopharmacology Unit, Division of Psychiatry, Department of Brain Sciences, Hammersmith Hospital, Imperial College London, London W12 ONN, UK; (A.H.); (L.F.); (R.Z.); (E.O.C.P.); (L.P.); (A.L.-H.)
| | | | | | | | | | | | | |
Collapse
|
43
|
Hatoum AS, Johnson EC, Baranger DAA, Paul SE, Agrawal A, Bogdan R. Polygenic risk scores for alcohol involvement relate to brain structure in substance-naïve children: Results from the ABCD study. GENES, BRAIN, AND BEHAVIOR 2021; 20:e12756. [PMID: 34092032 PMCID: PMC8645657 DOI: 10.1111/gbb.12756] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 05/29/2021] [Accepted: 06/02/2021] [Indexed: 05/09/2023]
Abstract
Brain imaging-derived structural correlates of alcohol involvement have largely been speculated to arise as a consequence of alcohol exposure. However, they may also reflect predispositional risk. In substance naïve children of European ancestry who completed the baseline session of the Adolescent Brain Cognitive Development (ABCD) Study (n = 3013), mixed-effects models estimated whether polygenic risk scores (PRS) for problematic alcohol use (PAU-PRS) and drinks per week (DPW-PRS) are associated with magnetic resonance imaging-derived brain structure phenotypes (i.e., total and regional: cortical thickness, surface area and volume; subcortical volume; white matter volume, fractional anisotropy, mean diffusivity). Follow-up analyses evaluated whether any identified regions were also associated with polygenic risk among substance naïve children of African ancestry (n = 898). After adjustment for multiple testing correction, polygenic risk for PAU was associated with lower volume of the left frontal pole and greater cortical thickness of the right supramarginal gyrus (|βs| > 0.009; ps < 0.001; psfdr < 0.046; r2 s < 0.004). PAU PRS and DPW PRS showed nominally significant associations with a host of other regional brain structure phenotypes (e.g., insula surface area and volume). None of these regions showed any, even nominal association among children of African ancestry. Genomic liability to alcohol involvement may manifest as variability in brain structure during middle childhood prior to alcohol use initiation. Broadly, alcohol-related variability in brain morphometry may partially reflect predisposing genomic influence. Larger discovery genome-wide association studies and target samples of diverse ancestries are needed to determine whether observed associations may generalize across ancestral origins.
Collapse
Affiliation(s)
- Alexander S Hatoum
- Department of Psychiatry, Washington University St. Louis Medical School, St. Louis, Missouri, USA
| | - Emma C Johnson
- Department of Psychiatry, Washington University St. Louis Medical School, St. Louis, Missouri, USA
| | - David A A Baranger
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Sarah E Paul
- Department of Psychology & Brain Sciences, Washington University St. Louis, St. Louis, Missouri, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University St. Louis Medical School, St. Louis, Missouri, USA
| | - Ryan Bogdan
- Department of Psychology & Brain Sciences, Washington University St. Louis, St. Louis, Missouri, USA
| |
Collapse
|
44
|
Tondo LP, Viola TW, Fries GR, Kluwe-Schiavon B, Rothmann LM, Cupertino R, Ferreira P, Franco AR, Lane SD, Stertz L, Zhao Z, Hu R, Meyer T, Schmitz JM, Walss-Bass C, Grassi-Oliveira R. White matter deficits in cocaine use disorder: convergent evidence from in vivo diffusion tensor imaging and ex vivo proteomic analysis. Transl Psychiatry 2021; 11:252. [PMID: 33911068 PMCID: PMC8081729 DOI: 10.1038/s41398-021-01367-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 03/18/2021] [Accepted: 04/12/2021] [Indexed: 11/27/2022] Open
Abstract
White matter (WM) abnormalities in patients with cocaine use disorder (CUD) have been studied; however, the reported effects on the human brain are heterogenous and most results have been obtained from male participants. In addition, biological data supporting the imaging findings and revealing possible mechanisms underlying the neurotoxic effects of chronic cocaine use (CU) on WM are largely restricted to animal studies. To evaluate the neurotoxic effects of CU in the WM, we performed an in vivo diffusion tensor imaging assessment of male and female cocaine users (n = 75) and healthy controls (HC) (n = 58). Moreover, we performed an ex vivo large-scale proteomic analysis using liquid chromatography-tandem mass spectrometry in postmortem brains of patients with CUD (n = 8) and HC (n = 12). Compared with the HC, the CUD group showed significant reductions in global fractional anisotropy (FA) (p < 0.001), and an increase in global mean (MD) and radial diffusion (RD) (both p < 0.001). The results revealed that FA, RD, and MD alterations in the CUD group were widespread along the major WM tracts, after analysis using the tract-based special statistics approach. Global FA was negatively associated with years of CU (p = 0.0421) and female sex (p < 0.001), but not with years of alcohol or nicotine use. Concerning the fibers connecting the left to the right prefrontal cortex, Brodmann area 9 (BA9), the CUD group presented lower FA (p = 0.006) and higher RD (p < 0.001) values compared with the HC group. A negative association between the duration of CU in life and FA values in this tract was also observed (p = 0.019). Proteomics analyses in BA9 found 11 proteins differentially expressed between cocaine users and controls. Among these, were proteins related to myelination and neuroinflammation. In summary, we demonstrate convergent evidence from in vivo diffusion tensor imaging and ex vivo proteomics analysis of WM disruption in CUD.
Collapse
Affiliation(s)
- Lucca Pizzato Tondo
- Developmental Cognitive Neuroscience Lab (DCNL), Brain Institute, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
| | - Thiago Wendt Viola
- Developmental Cognitive Neuroscience Lab (DCNL), Brain Institute, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
| | - Gabriel R Fries
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Bruno Kluwe-Schiavon
- Developmental Cognitive Neuroscience Lab (DCNL), Brain Institute, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
| | - Leonardo Mello Rothmann
- Developmental Cognitive Neuroscience Lab (DCNL), Brain Institute, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
| | - Renata Cupertino
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Pedro Ferreira
- Developmental Cognitive Neuroscience Lab (DCNL), Brain Institute, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
| | | | - Scott D Lane
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Laura Stertz
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Zhongming Zhao
- Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ruifeng Hu
- Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Thomas Meyer
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Joy M Schmitz
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Consuelo Walss-Bass
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Rodrigo Grassi-Oliveira
- Developmental Cognitive Neuroscience Lab (DCNL), Brain Institute, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
| |
Collapse
|
45
|
Thomas MB, Raghava JM, Pantelis C, Rostrup E, Nielsen MØ, Jensen MH, Glenthøj BY, Mandl RCW, Ebdrup BH, Fagerlund B. Associations between cognition and white matter microstructure in first-episode antipsychotic-naïve patients with schizophrenia and healthy controls: A multivariate pattern analysis. Cortex 2021; 139:282-297. [PMID: 33933719 DOI: 10.1016/j.cortex.2021.03.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Revised: 01/19/2021] [Accepted: 03/01/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Cognitive functions have been associated with white matter (WM) microstructure in schizophrenia, but most studies are limited by examining only select cognitive measures and single WM tracts in chronic, medicated patients. It is unclear if the cognition-WM relationship differs between antipsychotic-naïve patients with schizophrenia and healthy controls, as differential associations have not been directly examined. Here we examine if there are differential patterns of associations between cognition and WM microstructure in first-episode antipsychotic-naïve patients with schizophrenia and healthy controls, and we characterize reliable contributors to the pattern of associations across multiple cognitive domains and WM regions, in order to elucidate white matter contribution to the neural underpinnings of cognitive deficits. METHODS Thirty-six first-episode antipsychotic-naïve patients with schizophrenia and 52 matched healthy controls underwent cognitive tests and diffusion-weighted imaging on a 3T Magnetic Resonance Imaging scanner. Using a multivariate partial least squares correlation analysis, we included 14 cognitive variables and mean fractional anisotropy values of 48 WM regions. RESULTS Initial analyses showed significant group differences in both measures of WM and cognition. There was no group interaction effect in the pattern of associations between cognition and WM microstructure. The combined analysis of patients and controls lead to a significant pattern of associations (omnibus test p = .015). Thirty-four regions and seven cognitive functions contributed reliably to the associations. CONCLUSIONS The lack of an interaction effect suggests similar associations in first-episode antipsychotic-naïve patients with schizophrenia and healthy controls. This, together with the differences in both WM and cognitive measurements, supports the involvement of WM in cognitive deficits in schizophrenia. Our findings add to the field by showing a coherent picture of the overall pattern of association between cognition and WM. These findings increase our understanding of the impact of WM on cognition, contributing to the search for neuromarkers of cognitive deficits in schizophrenia.
Collapse
Affiliation(s)
- Marie B Thomas
- Centre for Neuropsychiatric Schizophrenia Research, CNSR and Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Department of Psychology, University of Copenhagen, Copenhagen, Denmark.
| | - Jayachandra M Raghava
- Centre for Neuropsychiatric Schizophrenia Research, CNSR and Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet Glostrup, University of Copenhagen, Glostrup, Denmark.
| | - Christos Pantelis
- Centre for Neuropsychiatric Schizophrenia Research, CNSR and Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Carlton South, Victoria, Australia.
| | - Egill Rostrup
- Centre for Neuropsychiatric Schizophrenia Research, CNSR and Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet Glostrup, University of Copenhagen, Glostrup, Denmark.
| | - Mette Ø Nielsen
- Centre for Neuropsychiatric Schizophrenia Research, CNSR and Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.
| | - Maria H Jensen
- Centre for Neuropsychiatric Schizophrenia Research, CNSR and Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.
| | - Birte Y Glenthøj
- Centre for Neuropsychiatric Schizophrenia Research, CNSR and Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - René C W Mandl
- Centre for Neuropsychiatric Schizophrenia Research, CNSR and Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; UMC Brain Center, University Medical Center Utrecht, Utrecht, Netherlands.
| | - Bjørn H Ebdrup
- Centre for Neuropsychiatric Schizophrenia Research, CNSR and Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Birgitte Fagerlund
- Centre for Neuropsychiatric Schizophrenia Research, CNSR and Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Department of Psychology, University of Copenhagen, Copenhagen, Denmark.
| |
Collapse
|
46
|
Chan MMY, Yau SSY, Han YMY. The neurobiology of prefrontal transcranial direct current stimulation (tDCS) in promoting brain plasticity: A systematic review and meta-analyses of human and rodent studies. Neurosci Biobehav Rev 2021; 125:392-416. [PMID: 33662444 DOI: 10.1016/j.neubiorev.2021.02.035] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 01/05/2021] [Accepted: 02/23/2021] [Indexed: 12/13/2022]
Abstract
The neurobiological mechanisms underlying prefrontal transcranial direct current stimulation (tDCS) remain elusive. Randomized, sham-controlled trials in humans and rodents applying in vivo prefrontal tDCS were included to explore whether prefrontal tDCS modulates resting-state and event-related functional connectivity, neural oscillation and synaptic plasticity. Fifty studies were included in the systematic review and 32 in the meta-analyses. Neuroimaging meta-analysis indicated anodal prefrontal tDCS significantly enhanced bilateral median cingulate activity [familywise error (FWE)-corrected p < .005]; meta-regression revealed a positive relationship between changes in median cingulate activity after tDCS and current density (FWE-corrected p < .005) as well as electric current strength (FWE-corrected p < .05). Meta-analyses of electroencephalography and magnetoencephalography data revealed nonsignificant changes (ps > .1) in both resting-state and event-related oscillatory power across all frequency bands. Applying anodal tDCS over the rodent hippocampus/prefrontal cortex enhanced long-term potentiation and brain-derived neurotrophic factor expression in the stimulated brain regions (ps <.005). Evidence supporting prefrontal tDCS administration is preliminary; more methodologically consistent studies evaluating its effects on cognitive function that include brain activity measurements are needed.
Collapse
Affiliation(s)
- Melody M Y Chan
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Sonata S Y Yau
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Yvonne M Y Han
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.
| |
Collapse
|
47
|
Associations between different white matter properties and reward-based performance modulation. Brain Struct Funct 2021; 226:1007-1021. [DOI: 10.1007/s00429-021-02222-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 01/14/2021] [Indexed: 12/13/2022]
|
48
|
Vorspan F, Marie-Claire C, Bellivier F, Bloch V. Biomarkers to predict staging and treatment response in opioid dependence: A narrative review. Drug Dev Res 2021; 82:668-677. [PMID: 33416203 DOI: 10.1002/ddr.21789] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 12/17/2020] [Accepted: 12/23/2020] [Indexed: 12/25/2022]
Abstract
Opioid use disorder is a devastating disorder with a high burden in terms of overdose mortality, with an urgent need for more personalized prevention or therapeutic interventions. For this purpose, the description and validation of biological measures of staging or treatment response is a highly active research field. We conducted a narrative review on the pathophysiology of opioid use disorder to propose staging of the disease and search for research studies proposing or demonstrating the predictive value of biomarkers. We propose a IV stage description of opioid use disorder, from (I) vulnerability stage to (II) disease progression, (III) constituted opioid dependence and were several type of treatments can be applied, to the reach a (IV) modified health state. We classified biomarkers studies according to the stage of the disorder they were intended to predict, and to the three categories of methods they used: anatomical and functional aspects of the brain, genetic/transcriptomic/epigenetic studies, and lastly biomarkers of systemic modifications associated with opioid use disorder, especially regarding the immune system. Most studies predicting Stage III that we reviewed collected data from small samples sizes and were cross-sectional association studies comparing opioid dependent patients and control groups. Pharmacogenetic biomarkers are proposed to predict treatment response. Future research should now emphasize prospective studies, replication in independent samples, and predictive value calculation of each biomarker. The most promising results are multimodal evaluations to be able to measure the state of the brain reward system in living individuals.
Collapse
Affiliation(s)
- Florence Vorspan
- Optimisation Thérapeutique en Neuropsychopharmacologie, Université de Paris, INSERM UMRS 1144, Paris, France.,APHP, NORD, Département de Psychiatrie et de Médecine Addictologique, Hôpital Fernand Widal, Paris, France
| | - Cynthia Marie-Claire
- APHP, NORD, Département de Psychiatrie et de Médecine Addictologique, Hôpital Fernand Widal, Paris, France
| | - Frank Bellivier
- Optimisation Thérapeutique en Neuropsychopharmacologie, Université de Paris, INSERM UMRS 1144, Paris, France.,APHP, NORD, Département de Psychiatrie et de Médecine Addictologique, Hôpital Fernand Widal, Paris, France
| | - Vanessa Bloch
- APHP, NORD, Département de Psychiatrie et de Médecine Addictologique, Hôpital Fernand Widal, Paris, France.,APHP, NORD, Service de Pharmacie, Hôpital Fernand Widal, Paris, France
| |
Collapse
|
49
|
Monterosso JR, Schwartz B. Addiction science and the perception of freewill. JOURNAL FOR THE THEORY OF SOCIAL BEHAVIOUR 2020. [DOI: 10.1111/jtsb.12250] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- John R. Monterosso
- Department of Psychology University of Southern California Los Angeles California USA
- Neuroscience Graduate Program University of Southern California Los Angeles California USA
| | | |
Collapse
|
50
|
Benear SL, Ngo CT, Olson IR. Dissecting the Fornix in Basic Memory Processes and Neuropsychiatric Disease: A Review. Brain Connect 2020; 10:331-354. [PMID: 32567331 DOI: 10.1089/brain.2020.0749] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Background: The fornix is the primary axonal tract of the hippocampus, connecting it to modulatory subcortical structures. This review reveals that fornix damage causes cognitive deficits that closely mirror those resulting from hippocampal lesions. Methods: We reviewed the literature on the fornix, spanning non-human animal lesion research, clinical case studies of human patients with fornix damage, as well as diffusion-weighted imaging (DWI) work that evaluates fornix microstructure in vivo. Results: The fornix is essential for memory formation because it serves as the conduit for theta rhythms and acetylcholine, as well as providing mnemonic representations to deep brain structures that guide motivated behavior, such as when and where to eat. In rodents and non-human primates, fornix lesions lead to deficits in conditioning, reversal learning, and navigation. In humans, damage to the fornix manifests as anterograde amnesia. DWI research reveals that the fornix plays a key role in mild cognitive impairment and Alzheimer's Disease, and can potentially predict conversion from the former to the latter. Emerging DWI findings link perturbations in this structure to schizophrenia, mood disorders, and eating disorders. Cutting-edge research has investigated how deep brain stimulation of the fornix can potentially attenuate memory loss, control epileptic seizures, and even improve mood. Conclusions: The fornix is essential to a fully functioning memory system and is implicated in nearly all neurological functions that rely on the hippocampus. Future research needs to use optimized DWI methods to study the fornix in vivo, which we discuss, given the difficult nature of fornix reconstruction. Impact Statement The fornix is a white matter tract that connects the hippocampus to several subcortical brain regions and is pivotal for episodic memory functioning. Functionally, the fornix transmits essential neurotransmitters, as well as theta rhythms, to the hippocampus. In addition, it is the conduit by which memories guide decisions. The fornix is biomedically important because lesions to this tract result in irreversible anterograde amnesia. Research using in vivo imaging methods has linked fornix pathology to cognitive aging, mild cognitive impairment, psychosis, epilepsy, and, importantly, Alzheimer's Disease.
Collapse
Affiliation(s)
- Susan L Benear
- Department of Psychology, Temple University, Philadelphia, Pennsylvania, USA
| | - Chi T Ngo
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Ingrid R Olson
- Department of Psychology, Temple University, Philadelphia, Pennsylvania, USA
| |
Collapse
|