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Li C, Dai W, Miao S, Xie W, Yu S. Medication overuse headache and substance use disorder: A comparison based on basic research and neuroimaging. Front Neurol 2023; 14:1118929. [PMID: 36937526 PMCID: PMC10017752 DOI: 10.3389/fneur.2023.1118929] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 02/10/2023] [Indexed: 03/06/2023] Open
Abstract
It has yet to be determined whether medication overuse headache (MOH) is an independent disorder or a combination of primary headache and substance addiction. To further explore the causes of MOH, we compared MOH with substance use disorder (SUD) in terms of the brain regions involved to draw more targeted conclusions. In this review, we selected alcohol use disorder (AUD) as a representative SUD and compared MOH and AUD from two aspects of neuroimaging and basic research. We found that in neuroimaging studies, there were many overlaps between AUD and MOH in the reward circuit, but the extensive cerebral cortex damage in AUD was more serious than that in MOH. This difference was considered to reflect the sensitivity of the cortex structure to alcohol damage. In future research, we will focus on the central amygdala (CeA), prefrontal cortex (PFC), orbital-frontal cortex (OFC), hippocampus, and other brain regions for interventions, which may have unexpected benefits for addiction and headache symptoms in MOH patients.
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2
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Duan R, Jing L, Li Y, Gong Z, Yao Y, Wang W, Zhang Y, Cheng J, Peng Y, Li L, Jia Y. Altered Global Signal Topography in Alcohol Use Disorders. Front Aging Neurosci 2022; 14:803780. [PMID: 35250540 PMCID: PMC8888878 DOI: 10.3389/fnagi.2022.803780] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 01/24/2022] [Indexed: 12/15/2022] Open
Abstract
The most common symptom of patients with alcohol use disorders (AUD) is cognitive impairment that negatively affects abstinence. Presently, there is a lack of indicators for early diagnosis of alcohol-related cognitive impairment (ARCI). We aimed to assess the cognitive deficits in AUD patients with the help of a specific imaging marker for ARCI. Data-driven dynamic and static global signal topography (GST) methods were applied to explore the cross-talks between local and global neuronal activities in the AUD brain. Twenty-six ARCI, 54 AUD without cognitive impairment (AUD-NCI), and gender/age-matched 40 healthy control (HC) subjects were recruited for this study. We found that there was no significant difference with respect to voxel-based morphometry (VBM) and static GST between AUD-NCI and ARCI groups. And in dynamic GST measurements, the AUD-NCI patients had the highest coefficient of variation (CV) at the right insula, followed by ARCI and the HC subjects. In precuneus, the order was reversed. There was no significant correlation between the dynamic GST and behavioral scores or alcohol consumption. These results suggested that dynamic GST might have potential implications in understanding AUD pathogenesis and disease management.
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Affiliation(s)
- Ranran Duan
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lijun Jing
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yanfei Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhe Gong
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yaobing Yao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Weijian Wang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ying Peng
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Li Li
- Department of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
- *Correspondence: Li Li Yanjie Jia
| | - Yanjie Jia
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Li Li Yanjie Jia
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Park SE, Jeon YJ, Baek HM. Association between Changes in Cortical Thickness and Functional Connectivity in Male Patients with Alcohol-dependence. Exp Neurobiol 2021; 30:441-450. [PMID: 34983884 PMCID: PMC8752324 DOI: 10.5607/en21036] [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: 10/01/2021] [Revised: 11/22/2021] [Accepted: 11/22/2021] [Indexed: 11/28/2022] Open
Abstract
Many studies have reported structural or functional brain changes in patients with alcohol-dependence (ADPs). However, there has been an insufficient number of studies that were able to identify functional changes along with structural abnormalities in ADPs. Since neuronal cell death can lead to abnormal brain function, a multimodal approach combined with structural and functional studies is necessary to understand definitive neural mechanisms. Here, we explored regional difference in cortical thickness and their impact on functional connection along with clinical relevance. Fifteen male ADPs who have been diagnosed by the Diagnostic and Statistical Manual of Mental Disorders 5 (DSM-5) underwent high-resolution T1 and resting-state functional magnetic resonance imaging (MRI) scans together with 15 male healthy controls (HCs). The acquired MRI data were post-processed using the Computational Anatomy Toolbox (CAT 12) and CONN-fMRI functional connectivity (FC) toolbox with Statistical Parametric Mapping (SPM 12). When compared with male HCs, the male ADPs showed significantly reduced cortical thickness in the left postcentral gyrus (PoCG), an area responsible for altered resting-state FC patterns in male ADPs. Statistically higher FCs in PoCG-cerebellum (Cb) and lower FCs in PoCG-supplementary motor area (SMA) were observed in male ADPs. In particular, the FCs with PoCG-Cb positively correlated with alcohol use disorders identification test (AUDIT) scores in male ADPs. Our findings suggest that the association of brain structural abnormalities and FC changes could be a characteristic difference in male ADPs. These findings can be useful in understanding the neural mechanisms associated with anatomical, functional and clinical features of individuals with alcoholism.
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Affiliation(s)
- Shin-Eui Park
- Lee Gil Ya Cancer & Diabetes Institute, Gachon University, Incheon 21999, Korea
| | - Yeong-Jae Jeon
- Department of Health Science and Technology, GAIHST, Gachon University, Incheon 21936, Korea
| | - Hyeon-Man Baek
- Lee Gil Ya Cancer & Diabetes Institute, Gachon University, Incheon 21999, Korea.,Department of Health Science and Technology, GAIHST, Gachon University, Incheon 21936, Korea
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Fukushima S, Kuga H, Oribe N, Mutou T, Yuzuriha T, Ozawa H, Ueno T. Behavioural cue reactivity to alcohol-related and non-alcohol-related stimuli among individuals with alcohol use disorder: An fMRI study with a visual task. PLoS One 2020; 15:e0229187. [PMID: 32678839 PMCID: PMC7367463 DOI: 10.1371/journal.pone.0229187] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 06/29/2020] [Indexed: 01/08/2023] Open
Abstract
Patients with alcohol use disorder (AUD) have difficulty controlling their alcohol cravings and thus exhibit increased use and early relapse. Although patients tend to respond more strongly to alcohol-related images than to non-alcohol-related images, few researchers have examined the factors that modulate cravings. Here, we examined whole-brain blood oxygen level-dependent (BOLD) responses to behavioural cues in individuals with AUD and in healthy controls (HCs). The participants included 24 patients with AUD and 15 HCs. We presented visual cues consisting of four beverage-related images (juice, drinking juice, sake, and drinking sake), and the cue reactivity of AUD participants was contrasted with that of HC participants. Multiple comparisons revealed that the AUD group had lower BOLD responses than the HC group in the left precuneus (p = 0.036) and the left posterior cingulate cortex (PCC) (p = 0.044) to images of drinking juice and higher BOLD responses than the HC group in the left PCC (p = 0.044) to images of drinking sake. Furthermore, compared to the HCs, the AUD patients had decreased BOLD responses associated with cue reactivity to drinking juice in the left precuneus during the periods from 15 to 18 s (p = 0.004, df = 37) and 18 to 21 s (p = 0.002, df = 37). Our findings suggest that HCs and AUD patients differ in their responses not to images of alcoholic beverages but to images related to alcohol-drinking behaviour. Thus, these patients appear to have different patterns of brain activity. This information may aid clinicians in developing treatments for patients with AUD.
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Affiliation(s)
- Shou Fukushima
- Department of Neuropsychiatry, Nagasaki University, Nagasaki, Japan
- Department of Clinical Research, National Hospital Organization, Hizen Psychiatric Medical Center, Saga, Japan
- Department of Psychiatry, Michinoo Hospital, Nagasaki, Japan
| | - Hironori Kuga
- Department of Clinical Research, National Hospital Organization, Hizen Psychiatric Medical Center, Saga, Japan
- Department of Neuropsychiatry, Kyushu University, Fukuoka, Japan
- * E-mail: (TU); (HK)
| | - Naoya Oribe
- Department of Clinical Research, National Hospital Organization, Hizen Psychiatric Medical Center, Saga, Japan
- Department of Neuropsychiatry, Kyushu University, Fukuoka, Japan
| | - Takeo Mutou
- Department of Clinical Research, National Hospital Organization, Hizen Psychiatric Medical Center, Saga, Japan
| | - Takefumi Yuzuriha
- Department of Clinical Research, National Hospital Organization, Hizen Psychiatric Medical Center, Saga, Japan
| | - Hiroki Ozawa
- Department of Neuropsychiatry, Nagasaki University, Nagasaki, Japan
| | - Takefumi Ueno
- Department of Clinical Research, National Hospital Organization, Hizen Psychiatric Medical Center, Saga, Japan
- Department of Neuropsychiatry, Kyushu University, Fukuoka, Japan
- * E-mail: (TU); (HK)
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Fritz M, Klawonn AM, Zahr NM. Neuroimaging in alcohol use disorder: From mouse to man. J Neurosci Res 2019; 100:1140-1158. [PMID: 31006907 DOI: 10.1002/jnr.24423] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 02/15/2019] [Accepted: 03/14/2019] [Indexed: 02/06/2023]
Abstract
This article provides an overview of recent advances in understanding the effects of alcohol use disorders (AUD) on the brain from the perspective of magnetic resonance imaging (MRI) research in preclinical models and clinical studies. As a noninvasive investigational tool permitting assessment of morphological, metabolic, and hemodynamic changes over time, MRI offers insight into the dynamic course of alcoholism beginning with initial exposure through periods of binge drinking and escalation, sobriety, and relapse and has been useful in differential diagnosis of neurological diseases associated with AUD. Structural MRI has revealed acute and chronic effects of alcohol on both white and gray matter volumes. MR Spectroscopy, able to quantify brain metabolites in vivo, has shed light on biochemical alterations associated with alcoholism. Diffusion tensor imaging permits microstructural characterization of white matter fiber tracts. Functional MRI has allowed for elucidation of hemodynamic responses at rest and during task engagement. Positron emission tomography, a non-MRI imaging tool, has led to a deeper understanding of alcohol-induced receptor and neurotransmitter changes during various stages of drinking and abstinence. Together, such in vivo imaging tools have expanded our understanding of the dynamic course of alcoholism including evidence for regional specificity of the effects of AUD, hints at mechanisms underlying the shift from casual to compulsive use of alcohol, and profound recovery with sustained abstinence.
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Affiliation(s)
- Michael Fritz
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Anna M Klawonn
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Natalie M Zahr
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California.,Neuroscience Program, SRI International, Menlo Park, California
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Hong JY, Müller-Oehring EM, Pfefferbaum A, Sullivan EV, Kwon D, Schulte T. Aberrant blood-oxygen-level-dependent signal oscillations across frequency bands characterize the alcoholic brain. Addict Biol 2018; 23:824-835. [PMID: 28699704 DOI: 10.1111/adb.12532] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Revised: 04/20/2017] [Accepted: 05/29/2017] [Indexed: 11/26/2022]
Abstract
Chronic alcoholism is associated with widespread regional differences from controls in brain activity and connectivity dynamics measured by blood-oxygen-level-dependent (BOLD) signals. Identification of alcoholism-related neurofunctional power dynamics using functional magnetic resonance imaging (fMRI) that relate to cognition and behavior may serve as biomarkers of alcoholism. Previously, resting-state fMRI studies examined BOLD signals at a single low-frequency (LF) bandwidth. BOLD signals, however, oscillate systematically at different frequencies and are organized in a resting brain where LF oscillation facilitates long-distance communication between regions across cortical regions, whereas high-frequency (HF) oscillation occurs in closely localized, subcortical areas. Using a frequency power quantification approach, we investigated whether the organization of BOLD signal oscillations across all measured frequency bandwidths is altered in alcoholism and relates to cognitive performance. Frequency-dependent oscillation power differences between 56 sober alcoholics and 56 healthy controls occurred for all frequency bands. Alcoholics exhibited greater frequency oscillation power in the orbitofrontal cortex and less power in the posterior insula within the HF bandwidth than controls. Aberrant orbitofrontal HF power was associated with poorer memory performance and slower psychomotor speed in alcoholics. Middle-frequency and LF power proved sensitive in detecting altered frequency oscillation dynamics in parietal and postcentral cortical regions of alcoholics. This study is novel in identifying alcohol-related differences in BOLD oscillation power of the full fMRI frequency bandwidth. Specifically, HF power aberrations were associated with poorer cognitive functioning in alcoholism and may serve as a biomarker for identifying neural targets for repair.
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Affiliation(s)
- Jui-Yang Hong
- Neuroscience Program, Center for Health Sciences; SRI International; Menlo Park CA USA
| | - Eva M. Müller-Oehring
- Neuroscience Program, Center for Health Sciences; SRI International; Menlo Park CA USA
- Department of Psychiatry & Behavioral Sciences; Stanford University; Stanford CA USA
| | - Adolf Pfefferbaum
- Neuroscience Program, Center for Health Sciences; SRI International; Menlo Park CA USA
- Department of Psychiatry & Behavioral Sciences; Stanford University; Stanford CA USA
| | - Edith V. Sullivan
- Department of Psychiatry & Behavioral Sciences; Stanford University; Stanford CA USA
| | - Dongjin Kwon
- Neuroscience Program, Center for Health Sciences; SRI International; Menlo Park CA USA
| | - Tilman Schulte
- Neuroscience Program, Center for Health Sciences; SRI International; Menlo Park CA USA
- Pacific Graduate School of Psychology; Palo Alto CA USA
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Alcohol and the Human Brain: a Systematic Review of Recent Functional Neuroimaging and Imaging Genetics Findings. CURRENT ADDICTION REPORTS 2016. [DOI: 10.1007/s40429-016-0082-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Abstract
Neuroimaging, including PET, MRI, and MRS, is a powerful approach to the study of brain function. This article reviews neuroimaging findings related to alcohol and other drugs of abuse that have been published since 2011. Uses of neuroimaging are to characterize patients to determine who will fare better in treatment and to investigate the reasons underlying the effect on outcomes. Neuroimaging is also used to characterize the acute and chronic effects of substances on the brain and how those effects are related to dependence, relapse, and other drug effects. The data can be used to provide encouraging information for patients, as several studies have shown that long-term abstinence is associated with at least partial normalization of neurological abnormalities.
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Affiliation(s)
- Mark J Niciu
- National Institutes of Health and Department of Health and Human Services, Experimental Therapeutics & Pathophysiology Branch, National Institute of Mental Health, 10 Center Dr., Building 10/CRC, Room 7-5545, Bethesda, MD 20892, USA
| | - Graeme F Mason
- Yale University Department of Diagnostic Radiology and Psychiatry, New Haven, CT, USA
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