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Böhmer J, Reinhardt P, Garbusow M, Marxen M, Smolka MN, Zimmermann US, Heinz A, Bzdok D, Friedel E, Kruschwitz JD, Walter H. Aberrant functional brain network organization is associated with relapse during 1-year follow-up in alcohol-dependent patients. Addict Biol 2023; 28:e13339. [PMID: 37855075 DOI: 10.1111/adb.13339] [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: 02/17/2023] [Revised: 08/12/2023] [Accepted: 09/11/2023] [Indexed: 10/20/2023]
Abstract
Alcohol dependence (AD) is a debilitating disease associated with high relapse rates even after long periods of abstinence. Thus, elucidating neurobiological substrates of relapse risk is fundamental for the development of novel targeted interventions that could promote long-lasting abstinence. In the present study, we analysed resting-state functional magnetic resonance imaging (rsfMRI) data from a sample of recently detoxified patients with AD (n = 93) who were followed up for 12 months after rsfMRI assessment. Specifically, we employed graph theoretic analyses to compare functional brain network topology and functional connectivity between future relapsers (REL, n = 59), future abstainers (ABS, n = 28) and age- and gender-matched controls (CON, n = 83). Our results suggest increased whole-brain network segregation, decreased global network integration and overall blunted connectivity strength in REL compared with CON. Conversely, we found evidence for a comparable network architecture in ABS relative to CON. At the nodal level, REL exhibited decreased integration and decoupling between multiple brain systems compared with CON, encompassing regions associated with higher-order executive functions, sensory and reward processing. Among patients with AD, increased coupling between nodes implicated in reward valuation and salience attribution constitutes a particular risk factor for future relapse. Importantly, aberrant network organization in REL was consistently associated with shorter abstinence duration during follow-up, portending to a putative neural signature of relapse risk in AD. Future research should further evaluate the potential diagnostic value of the identified changes in network topology and functional connectivity for relapse prediction at the individual subject level.
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Affiliation(s)
- Justin Böhmer
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Pablo Reinhardt
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Maria Garbusow
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Michael Marxen
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
- Collaborative Research Centre (SFB 940) "Volition and Cognitive Control", Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
- Collaborative Research Centre (SFB 940) "Volition and Cognitive Control", Technische Universität Dresden, Dresden, Germany
| | - Ulrich S Zimmermann
- Department of Addiction Medicine and Psychotherapy, kbo-Isar-Amper-Klinikum München-Ost, Haar, Germany
- Department of Biomedical Engineering, Faculty of Medicine, McConnell Brain Imaging Centre (BIC), Montreal Neurological Institute (MNI), McGill University, Montreal, Canada
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Danilo Bzdok
- Department of Biomedical Engineering, Faculty of Medicine, McConnell Brain Imaging Centre (BIC), Montreal Neurological Institute (MNI), McGill University, Montreal, Canada
- Mila - Quebec Artificial Intelligence Institute, Montreal, Canada
| | - Eva Friedel
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Johann D Kruschwitz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
- Collaborative Research Centre (SFB 940) "Volition and Cognitive Control", Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
- Collaborative Research Centre (SFB 940) "Volition and Cognitive Control", Technische Universität Dresden, Dresden, Germany
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Lee H, Jung JH, Chung S, Ju G, Kim S, Son JW, Shin CJ, Lee SI, Lee J. Graph Theoretical Analysis of Brain Structural Connectivity in Patients with Alcohol Dependence. Exp Neurobiol 2023; 32:362-369. [PMID: 37927134 PMCID: PMC10628861 DOI: 10.5607/en23026] [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: 08/03/2023] [Revised: 10/19/2023] [Accepted: 10/26/2023] [Indexed: 11/07/2023] Open
Abstract
This study aimed to compare brain structural connectivity using graph theory between patients with alcohol dependence and social drinkers. The participants were divided into two groups; the alcohol group (N=23) consisting of patients who had been hospitalized and had abstained from alcohol for at least three months and the control group (N=22) recruited through advertisements and were social drinkers. All participants were evaluated using 3T magnetic resonance imaging. A total of 1000 repeated whole-brain tractographies with random parameters were performed using DSI Studio. Four hundred functionally defined cortical regions of interest (ROIs) were parcellated using FreeSurfer based on the Schaefer Atlas. The ROIs were overlaid on the tractography results to generate 1000 structural connectivity matrices per person, and 1000 matrices were averaged into a single matrix per subject. Graph analysis was performed through igraph R package. Graph measures were compared between the two groups using analysis of covariance, considering the effects of age and smoking pack years. The alcohol group showed lower local efficiency than the control group in the whole-brain (F=5.824, p=0.020), somato-motor (F=5.963, p=0.019), and default mode networks (F=4.422, p=0.042). The alcohol group showed a lower global efficiency (F=5.736, p=0.021) in the control network. The transitivity of the alcohol group in the dorsal attention network was higher than that of the control (F=4.257, p=0.046). Our results imply that structural stability of the whole-brain network is affected in patients with alcohol dependence, which can lead to ineffective information processing in cases of local node failure.
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Affiliation(s)
- Hyunjung Lee
- Department of Psychiatry, Chungbuk National University Hospital, Cheongju 28644, Korea
| | - Joon Hyung Jung
- Department of Psychiatry, Chungbuk National University Hospital, Cheongju 28644, Korea
- Department of Psychiatry, College of Medicine, Seoul National University, Seoul 03080, Korea
| | - Seungwon Chung
- Department of Psychiatry, Chungbuk National University Hospital, Cheongju 28644, Korea
- Department of Psychiatry, College of Medicine, Chungbuk National University, Cheongju 28644, Korea
| | - Gawon Ju
- Department of Psychiatry, Chungbuk National University Hospital, Cheongju 28644, Korea
- Department of Psychiatry, College of Medicine, Chungbuk National University, Cheongju 28644, Korea
| | - Siekyeong Kim
- Department of Psychiatry, Chungbuk National University Hospital, Cheongju 28644, Korea
- Department of Psychiatry, College of Medicine, Chungbuk National University, Cheongju 28644, Korea
| | - Jung-Woo Son
- Department of Psychiatry, Chungbuk National University Hospital, Cheongju 28644, Korea
- Department of Psychiatry, College of Medicine, Chungbuk National University, Cheongju 28644, Korea
| | - Chul-Jin Shin
- Department of Psychiatry, Chungbuk National University Hospital, Cheongju 28644, Korea
- Department of Psychiatry, College of Medicine, Chungbuk National University, Cheongju 28644, Korea
| | - Sang Ick Lee
- Department of Psychiatry, Chungbuk National University Hospital, Cheongju 28644, Korea
- Department of Psychiatry, College of Medicine, Chungbuk National University, Cheongju 28644, Korea
| | - Jeonghwan Lee
- Department of Psychiatry, Chungbuk National University Hospital, Cheongju 28644, Korea
- Department of Psychiatry, College of Medicine, Chungbuk National University, Cheongju 28644, Korea
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3
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Ye J, Garrison KA, Lacadie C, Potenza MN, Sinha R, Goldfarb EV, Scheinost D. Network state dynamics underpin craving in a transdiagnostic population. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.10.03.23296454. [PMID: 37873309 PMCID: PMC10593000 DOI: 10.1101/2023.10.03.23296454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Emerging fMRI brain dynamic methods present a unique opportunity to capture how brain region interactions across time give rise to evolving affective and motivational states. As the unfolding experience and regulation of affective states affect psychopathology and well-being, it is important to elucidate their underlying time-varying brain responses. Here, we developed a novel framework to identify network states specific to an affective state of interest and examine how their instantaneous engagement contributed to its experience. This framework investigated network state dynamics underlying craving, a clinically meaningful and changeable state. In a transdiagnostic sample of healthy controls and individuals diagnosed with or at risk for craving-related disorders (N=252), we utilized connectome-based predictive modeling (CPM) to identify craving-predictive edges. An edge-centric timeseries approach was leveraged to quantify the instantaneous engagement of the craving-positive and craving-negative networks during independent scan runs. Individuals with higher craving persisted longer in a craving-positive network state while dwelling less in a craving-negative network state. We replicated the latter results externally in an independent group of healthy controls and individuals with alcohol use disorder exposed to different stimuli during the scan (N=173). The associations between craving and network state dynamics can still be consistently observed even when craving-predictive edges were instead identified in the replication dataset. These robust findings suggest that variations in craving-specific network state recruitment underpin individual differences in craving. Our framework additionally presents a new avenue to explore how the moment-to-moment engagement of behaviorally meaningful network states supports our changing affective experiences.
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Affiliation(s)
- Jean Ye
- Interdepartmental Neuroscience Program, Yale School of Medicine
| | | | - Cheryl Lacadie
- Department of Radiology & Biomedical Imaging, Yale School of Medicine
| | - Marc N. Potenza
- Interdepartmental Neuroscience Program, Yale School of Medicine
- Department of Psychiatry, Yale School of Medicine
- Child Study Center, Yale School of Medicine
- Department of Neuroscience, Yale School of Medicine
- Connecticut Mental Health Center
- Connecticut Council on Problem Gambling
- Wu Tsai Institute, Yale University
| | - Rajita Sinha
- Department of Psychiatry, Yale School of Medicine
- Child Study Center, Yale School of Medicine
- Department of Neuroscience, Yale School of Medicine
| | - Elizabeth V. Goldfarb
- Interdepartmental Neuroscience Program, Yale School of Medicine
- Department of Psychiatry, Yale School of Medicine
- Wu Tsai Institute, Yale University
- Department of Psychology, Yale University
- National Center for PTSD
| | - Dustin Scheinost
- Interdepartmental Neuroscience Program, Yale School of Medicine
- Department of Radiology & Biomedical Imaging, Yale School of Medicine
- Child Study Center, Yale School of Medicine
- Wu Tsai Institute, Yale University
- Department of Biomedical Engineering, Yale University
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4
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Wolf RC, Werler F, Schmitgen MM, Wolf ND, Wittemann M, Reith W, Hirjak D. Functional correlates of neurological soft signs in heavy cannabis users. Addict Biol 2023; 28:e13270. [PMID: 36825488 DOI: 10.1111/adb.13270] [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: 08/10/2022] [Revised: 12/03/2022] [Accepted: 01/20/2023] [Indexed: 02/17/2023]
Abstract
Sensorimotor dysfunction has been previously reported in persons with cannabis dependence. Such individuals can exhibit increased levels of neurological soft signs (NSS), particularly involving motor coordination, sensorimotor integration and complex motor task performance. Abnormal NSS levels can also be detected in non-dependent individuals with heavy cannabis use (HCU), yet very little is known about the functional correlates underlying such deficits. Here, we used resting-state functional magnetic resonance imaging (MRI) to investigate associations between NSS and intrinsic neural activity (INA) in HCU (n = 21) and controls (n = 26). Compared with controls, individuals with HCU showed significantly higher NSS across all investigated subdomains. Three of these subdomains, that is, motor coordination, sensorimotor integration and complex motor task behaviour, were associated with specific use-dependent variables, particularly age of onset of cannabis use and current cannabis use. Between-group comparisons of INA revealed lower regional homogeneity (ReHo) in left precentral gyrus, left inferior occipital gyrus, right triangular pat of the inferior frontal gyrus and right precentral gyrus in HCU compared with controls. In addition, HCU showed also higher ReHo in right cerebellum and left postcentral gyrus compared with controls. Complex motor task behaviour in HCU was significantly related to INA in postcentral, inferior frontal and occipital cortices. Our findings indicate abnormal ReHo in HCU in regions associated with sensorimotor, executive control and visuomotor-integration processes. Importantly, we show associations between ReHo, cannabis-use behaviour and execution of complex motor tasks. Given convergent findings in manifest psychotic disorders, this study suggests an HCU endophenotype that may present with a cumulative risk for psychosis.
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Affiliation(s)
- Robert Christian Wolf
- Department of General Psychiatry at the Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Florian Werler
- Department of General Psychiatry at the Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Mike M Schmitgen
- Department of General Psychiatry at the Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Nadine D Wolf
- Department of General Psychiatry at the Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Miriam Wittemann
- Department of Psychiatry and Psychotherapy, Saarland University, Saarbrücken, Germany
| | - Wolfgang Reith
- Department of Neuroradiology, Saarland University, Saarbrücken, Germany
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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5
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Kozak S, Dezachyo O, Stanford W, Bar-Haim Y, Censor N, Dayan E. Elevated integration within the reward network underlies vulnerability to distress. Cereb Cortex 2022; 33:5797-5807. [PMID: 36453462 DOI: 10.1093/cercor/bhac460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 10/26/2022] [Accepted: 10/31/2022] [Indexed: 12/05/2022] Open
Abstract
Abstract
Distress tolerance (DT), the capability to persist under negative circumstances, underlies a range of psychopathologies. It has been proposed that DT may originate from the activity and connectivity in diverse neural networks integrated by the reward system. To test this hypothesis, we examined the link between DT and integration and segregation in the reward network as derived from resting-state functional connectivity data. DT was measured in 147 participants from a large community sample using the Behavioral Indicator of Resiliency to Distress task. Prior to DT evaluation, participants underwent a resting-state functional magnetic resonance imaging scan. For each participant, we constructed a whole-brain functional connectivity network and calculated the degree of reward network integration and segregation based on the extent to which reward network nodes showed functional connections within and outside their network. We found that distress-intolerant participants demonstrated heightened reward network integration relative to the distress-tolerant participants. In addition, these differences in integration were higher relative to the rest of the brain and, more specifically, the somatomotor network, which has been implicated in impulsive behavior. These findings support the notion that increased integration in large-scale brain networks may constitute a risk for distress intolerance and its psychopathological correlates.
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Affiliation(s)
- Stas Kozak
- School of Psychological Sciences, Tel Aviv University , Tel Aviv 6997801 , Israel
| | - Or Dezachyo
- School of Psychological Sciences, Tel Aviv University , Tel Aviv 6997801 , Israel
- Sagol School of Neuroscience, Tel Aviv University , Tel Aviv 6997801 , Israel
| | - William Stanford
- Biological & Biomedical Sciences Program, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 , United States
| | - Yair Bar-Haim
- School of Psychological Sciences, Tel Aviv University , Tel Aviv 6997801 , Israel
- Sagol School of Neuroscience, Tel Aviv University , Tel Aviv 6997801 , Israel
| | - Nitzan Censor
- School of Psychological Sciences, Tel Aviv University , Tel Aviv 6997801 , Israel
- Sagol School of Neuroscience, Tel Aviv University , Tel Aviv 6997801 , Israel
| | - Eran Dayan
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 , United States
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Cahart MS, Dell’Acqua F, Giampietro V, Cabral J, Timmers M, Streffer J, Einstein S, Zelaya F, Williams SCR, O’Daly O. Test-retest reliability of time-varying patterns of brain activity across single band and multiband resting-state functional magnetic resonance imaging in healthy older adults. Front Hum Neurosci 2022; 16:980280. [PMID: 36438643 PMCID: PMC9685802 DOI: 10.3389/fnhum.2022.980280] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 10/25/2022] [Indexed: 12/23/2023] Open
Abstract
Leading Eigenvector Dynamics Analysis (LEiDA) is an analytic approach that characterizes brain activity recorded with functional Magnetic Resonance Imaging (fMRI) as a succession of discrete phase-locking patterns, or states, that consistently recur over time across all participants. LEiDA allows for the extraction of three state-related measures which have previously been key to gaining a better understanding of brain dynamics in both healthy and clinical populations: the probability of occurrence of a given state, its lifetime and the probability of switching from one state to another. The degree to which test-retest reliability of the LEiDA measures may be affected by increasing MRI multiband (MB) factors in comparison with single band sequences is yet to be established. In this study, 24 healthy older adults were scanned over three sessions, on weeks 0, 1, and 4. On each visit, they underwent a conventional single band resting-state fMRI (rs-fMRI) scan and three different MB rs-fMRI scans, with MB factors of 4, with and without in-plane acceleration, and 6 without in-plane acceleration. We found test-retest reliability scores to be significantly higher with MB factor 4 with and without in-plane acceleration for most cortical networks. These findings will inform the choice of acquisition parameters for future studies and clinical trials.
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Affiliation(s)
- Marie-Stephanie Cahart
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Flavio Dell’Acqua
- NatBrainLab, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Vincent Giampietro
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Joana Cabral
- Life and Health Sciences Research Institute, University of Minho, Braga, Portugal
| | - Maarten Timmers
- Janssen Research and Development, A Division of Janssen Pharmaceutica NV, Beerse, Belgium
| | - Johannes Streffer
- AC Immune SA, Lausanne, Switzerland
- Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | | | - Fernando Zelaya
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Steven C. R. Williams
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Owen O’Daly
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
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Yoga improves older adults’ Affective functioning and resting-state brain connectivity: Evidence from a pilot study. AGING AND HEALTH RESEARCH 2021. [DOI: 10.1016/j.ahr.2021.100018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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