Deep grey matter iron accumulation in alcohol use disorder

NeuroImage ◽  
2017 ◽  
Vol 148 ◽  
pp. 115-122 ◽  
Author(s):  
Michal Juhás ◽  
Hongfu Sun ◽  
Matthew R.G. Brown ◽  
Marnie B. MacKay ◽  
Karl F. Mann ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Alcohol Use Disorder ◽  
Grey Matter ◽  
Iron Accumulation ◽  
Deep Grey Matter

scholarly journals Family history of alcohol use disorder is associated with brain structural and functional changes in healthy first-degree relatives

2019 ◽  
Vol 62 ◽  
pp. 107-115 ◽  
Author(s):  
Irina Filippi ◽  
Nicolas Hoertel ◽  
Eric Artiges ◽  
Guillaume Airagnes ◽  
Christophe Guérin-Langlois ◽  
...  
Keyword(s):  
Family History ◽  
Alcohol Use ◽  
Childhood Maltreatment ◽  
Alcohol Use Disorder ◽  
Grey Matter ◽  
Brain Regions ◽  
Whole Brain ◽  
Childhood Trauma Questionnaire ◽  
Functional Changes ◽  
History Of

Abstract Background: Neuroimaging studies of vulnerability to Alcohol Use Disorder (AUD) have identified structural and functional variations which might reflect inheritable features in alcohol-naïve relatives of AUD individuals (FH+) compared to controls having no such family history (FH-). However, prior research did not simultaneously account for childhood maltreatment, any clinically significant disorder and maternal AUD. Therefore, we mainly aimed to investigate the brain structure and reward-related neural activations (fMRI), using whole-brain analysis in FH+ young adults with no prevalent confounders. Methods: 46 FH+ and 45 FH- male and female participants had no severe childhood maltreatment exposure, neither any psychiatric disorder or AUD, nor a prenatal exposure to maternal AUD. We used a 3 T MRI coupled with a whole brain voxel-based method to compare between groups the grey matter volumes and activations in response to big versus small wins during a Monetary Incentive Delay task. The Childhood Trauma Questionnaire score was used as confounding variable in the analyses to account for the remaining variance between groups. Results: Compared to FH- controls, FH+ participants had smaller grey matter volumes in the frontal and cingulate regions as well as in the bilateral nucleus accumbens and right insula. The FH+ participants’ fMRI datasets denoted a blunted activation in the middle cingulum with respect to FH- controls’ during the processing of reward magnitude, and a greater activation in the anterior cingulum in response to anticipation of a small win. Conclusions: Family history of alcohol use disorder is linked to structural and functional variations including brain regions involved in reward processes.

scholarly journals The effect of alcohol withdrawal syndrome severity on sleep, brain and cognition

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Alice Laniepce ◽  
Nicolas Cabé ◽  
Claire André ◽  
Françoise Bertran ◽  
Céline Boudehent ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Sleep Quality ◽  
Alcohol Withdrawal ◽  
Withdrawal Syndrome ◽  
Alcohol Use Disorder ◽  
Grey Matter ◽  
Short Term Memory ◽  
Alcohol Withdrawal Syndrome ◽  
Healthy Controls ◽  
Sleep Alterations

Abstract In alcohol use disorder, drinking cessation is frequently associated with an alcohol withdrawal syndrome. Early in abstinence (within the first 2 months after drinking cessation), when patients do not exhibit physical signs of alcohol withdrawal syndrome anymore (such as nausea, tremor or anxiety), studies report various brain, sleep and cognitive alterations, highly heterogeneous from one patient to another. While the acute neurotoxicity of alcohol withdrawal syndrome is well-known, its contribution to structural brain alterations, sleep disturbances and neuropsychological deficits observed early in abstinence has never been investigated and is addressed in this study. We included 54 alcohol use disorder patients early in abstinence (from 4 to 21 days of sobriety) and 50 healthy controls. When acute physical signs of alcohol withdrawal syndrome were no longer present, patients performed a detailed neuropsychological assessment, a T1-weighted MRI and a polysomnography for a subgroup of patients. According to the severity of the clinical symptoms collected during the acute withdrawal period, patients were subsequently classified as mild alcohol withdrawal syndrome (mild-AWS) patients (Cushman score ≤ 4, no benzodiazepine prescription, N = 17) or moderate alcohol withdrawal syndrome (moderate-AWS) patients (Cushman score > 4, benzodiazepine prescription, N = 37). Patients with severe withdrawal complications (delirium tremens or seizures) were not included. Mild-AWS patients presented similar grey matter volume and sleep quality as healthy controls, but lower processing speed and episodic memory performance. Compared to healthy controls, moderate-AWS patients presented non-rapid eye movement sleep alterations, widespread grey matter shrinkage and lower performance for all the cognitive domains assessed (processing speed, short-term memory, executive functions and episodic memory). Moderate-AWS patients presented a lower percentage of slow-wave sleep, grey matter atrophy in fronto-insular and thalamus/hypothalamus regions, and lower short-term memory and executive performance than mild-AWS patients. Mediation analyses revealed both direct and indirect (via fronto-insular and thalamus/hypothalamus atrophy) relationships between poor sleep quality and cognitive performance. Alcohol withdrawal syndrome severity, which reflects neurotoxic hyperglutamatergic activity, should be considered as a critical factor for the development of non-rapid eye movement sleep alterations, fronto-insular atrophy and executive impairments in recently detoxified alcohol use disorder patients. The glutamatergic activity is involved in sleep-wake circuits and may thus contribute to molecular mechanisms underlying alcohol-related brain damage, resulting in cognitive deficits. Alcohol withdrawal syndrome severity and sleep quality deserve special attention for a better understanding and treatment of brain and cognitive alterations observed early in abstinence, and ultimately for more efficient relapse prevention strategies.

scholarly journals Analysis of deep grey nuclei susceptibility in early childhood: a quantitative susceptibility mapping and R2* study at 3 Tesla

2021 ◽  
Author(s):  
Peter Raab ◽  
Stefan Ropele ◽  
Eva Bültmann ◽  
Rolf Salcher ◽  
Heinrich Lanfermann ◽  
...  
Keyword(s):  
Early Childhood ◽  
Caudate Nucleus ◽  
Grey Matter ◽  
Brain Mri ◽  
Iron Accumulation ◽  
Iron Deposition ◽  
3 Tesla ◽  
Brain Maturation ◽  
Brain Iron ◽  
Deep Grey Matter

Abstract Purpose Aging is the most significant determinant for brain iron accumulation in the deep grey matter. Data on brain iron evolution during brain maturation in early childhood are limited. The purpose of this study was to investigate age-related iron deposition in the deep grey matter in children using quantitative susceptibility (QSM) and R2* mapping. Methods We evaluated brain MRI scans of 74 children (age 6–154 months, mean 40 months). A multi-echo gradient-echo sequence obtained at 3 Tesla was used for the QSM and R2* calculation. Susceptibility of the pallidum, head of caudate nucleus, and putamen was correlated with age and compared between sexes. Results Susceptibility changes in all three nuclei correlated with age (correlation coefficients for QSM/R2*: globus pallidus 0.955/0.882, caudate nucleus 0.76/0.65, and putamen 0.643/0.611). During the first 2 years, the R2* values increased more rapidly than the QSM values, indicating a combined effect of iron deposition and myelination, followed by a likely dominating effect of iron deposition. There was no significant gender difference. Conclusion QSM and R2* can monitor myelin maturation processes and iron accumulation in the deep grey nuclei of the brain in early life and may be a promising tool for the detection of deviations of this normal process. Susceptibility in the deep nuclei is almost similar early after birth and increases more quickly in the pallidum. The combined use of QSM and R2* analysis is beneficial.

Determinants of iron accumulation in deep grey matter of multiple sclerosis patients

2014 ◽  
Vol 20 (13) ◽  
pp. 1692-1698 ◽  
Author(s):  
Stefan Ropele ◽  
Iris D Kilsdonk ◽  
Mike P Wattjes ◽  
Christian Langkammer ◽  
Wolter L de Graaf ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Substantia Nigra ◽  
Grey Matter ◽  
Disease Duration ◽  
Red Nucleus ◽  
Iron Accumulation ◽  
Lesion Load ◽  
Consistent Finding ◽  
Deep Grey Matter ◽  
Multiple Sclerosis Patients

Background: Iron accumulation in deep grey matter (GM) structures is a consistent finding in multiple sclerosis (MS) patients. This study focused on the identification of independent determinants of iron accumulation using R2* mapping. Subjects and methods: Ninety-seven MS patients and 81 healthy controls were included in this multicentre study. R2* mapping was performed on 3T MRI systems. R2*in deep GM was corrected for age and was related to disease duration, disability, T2 lesion load and brain volume. Results: Compared to controls, R2* was increased in all deep GM regions of MS patients except the globus pallidus and the substantia nigra. R2* increase was most pronounced in the progressive stage of the disease and independently predicted by disease duration and disability. Reduced cortical volume was not associated with iron accumulation in the deep GM with the exception of the substantia nigra and the red nucleus. In lesions, R2* was inversely correlated with disease duration and higher total lesion load. Conclusion: Iron accumulation in deep GM of MS patients is most strongly and independently associated with duration and severity of the disease. Additional associations between cortical GM atrophy and deep GM iron accumulation appear to exist in a region specific manner.

scholarly journals Meta-analysis of grey matter changes and their behavioral characterization in patients with alcohol use disorder

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Carolin Spindler ◽  
Sebastian Trautmann ◽  
Nina Alexander ◽  
Sonja Bröning ◽  
Sarah Bartscher ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Alcohol Use Disorder ◽  
Grey Matter ◽  
Meta Analysis ◽  
Brain Networks ◽  
Likelihood Estimation ◽  
Brain Functions ◽  
Neurocognitive Impairments ◽  
Meta Analyses ◽  
Behavioral Characterization

AbstractAlcohol Use Disorder (AUD) is associated with reductions in grey matter (GM) volume which can lead to changes in numerous brain functions. The results of previous studies on altered GM in AUD differ considerably in the regions identified. Three meta-analyses carried out between 2014 and 2017 yielded different results. The present study includes the considerable amount of newer research and delivers a state-of-the art meta-analysis in line with recently published guidelines. Additionally, we behaviorally characterized affected regions using fMRI metadata and identified related brain networks by determining their meta-analytic connectivity patterns. Twenty-seven studies with 1,045 AUD patients and 1,054 healthy controls were included in the analysis and analyzed by means of Anatomical Likelihood Estimation (ALE). GM alterations were identified in eight clusters covering different parts of the cingulate and medial frontal gyri, paracentral lobes, left post- and precentral gyri, left anterior and right posterior insulae and left superior frontal gyrus. The behavioral characterization associated these regions with specific cognitive, emotional, somatosensory and motor functions. Moreover, the clusters represent nodes within behaviorally relevant brain networks. Our results suggest that GM reduction in AUD could disrupt network communication responsible for the neurocognitive impairments associated with high chronic alcohol consumption.

DSM-5 alcohol use disorder features among treatment-seeking older adults

2018 ◽  
Vol 64 (4) ◽  
pp. 185-196 ◽  
Author(s):  
Silke Behrendt ◽  
Barbara Braun ◽  
Randi Bilberg ◽  
Gerhard Bühringer ◽  
Michael Bogenschutz ◽  
...  
Keyword(s):  
Older Adults ◽  
Alcohol Use ◽  
Alcohol Use Disorder ◽  
The Elderly ◽  
Treatment Seeking ◽  
Controlled Clinical Trial ◽  
Dsm 5 ◽  
Wide Range ◽  
And Gender ◽  
International Multicenter

Abstract. Background: The number of older adults with alcohol use disorder (AUD) is expected to rise. Adapted treatments for this group are lacking and information on AUD features in treatment seeking older adults is scarce. The international multicenter randomized-controlled clinical trial “ELDERLY-Study” with few exclusion criteria was conducted to investigate two outpatient AUD-treatments for adults aged 60+ with DSM-5 AUD. Aims: To add to 1) basic methodological information on the ELDERLY-Study by providing information on AUD features in ELDERLY-participants taking into account country and gender, and 2) knowledge on AUD features in older adults seeking outpatient treatment. Methods: baseline data from the German and Danish ELDERLY-sites (n=544) were used. AUD diagnoses were obtained with the Mini International Neuropsychiatric Interview, alcohol use information with Form 90. Results: Lost control, desired control, mental/physical problem, and craving were the most prevalent (> 70 %) AUD-symptoms. 54.9 % reported severe DSM-5 AUD (moderate: 28.2 %, mild: 16.9 %). Mean daily alcohol use was 6.3 drinks at 12 grams ethanol each. 93.9 % reported binging. More intense alcohol use was associated with greater AUD-severity and male gender. Country effects showed for alcohol use and AUD-severity. Conclusion: European ELDERLY-participants presented typical dependence symptoms, a wide range of severity, and intense alcohol use. This may underline the clinical significance of AUD in treatment-seeking seniors.

Persönliche vs. computerbasierte Alkoholintervention für Krankenhauspatienten: Studiendesign

2015 ◽  
Vol 61 (6) ◽  
pp. 347-355 ◽  
Author(s):  
Jennis Freyer-Adam ◽  
Sophie Baumann ◽  
Inga Schnuerer ◽  
Katja Haberecht ◽  
Ulrich John ◽  
...  
Keyword(s):  
Public Health ◽  
Alcohol Use ◽  
Alcohol Use Disorder ◽  
Identification Test ◽  
Disorder Identification

Zusammenfassung. Ziel: Persönliche Beratungen können bei stationären Krankenhauspatienten Alkoholkonsum und Mortalität reduzieren. Sie sind jedoch mit hohen Kosten verbunden, wenn aus Public-Health-Erfordernis viele Menschen einer Bevölkerung erreicht werden müssen. Computerbasierte Interventionen stellen eine Alternative dar. Jedoch ist ihre Wirksamkeit im Vergleich zu persönlichen Beratungen und im Allgemeinkrankenhaus noch unklar. Eine quasi-randomisierte Kontrollgruppenstudie „Die Bedeutung der Vermittlungsform für Alkoholinterventionen bei Allgemeinkrankenhauspatienten: Persönlich vs. Computerisiert“ soll dies untersuchen. Design und Methoden werden beschrieben. Methode: Über 18 Monate sind alle 18- bis 64-jährigen Patienten auf Stationen der Universitätsmedizin Greifswald mittels Alcohol Use Disorder Identification Test (AUDIT) zu screenen. Frauen/Männer mit AUDIT-Consumption ≥ 4/5 und AUDIT < 20 werden einer von drei Gruppen zugeordnet: persönliche Intervention (Beratungen zur Konsumreduktion), computerbasierte Intervention (individualisierte Rückmeldebriefe und Broschüren) und Kontrollgruppe. Beide Interventionen erfolgen im Krankenhaus sowie telefonisch bzw. postalisch nach 1 und 3 Monaten. In computergestützten Telefoninterviews nach 6, 12, 18 und 24 Monaten wird Alkoholkonsum erfragt. Schlussfolgerung: Das Studienvorhaben, sofern erfolgreich umgesetzt, ist geeignet die längerfristige Wirksamkeit einer persönlichen und computerbasierten Intervention im Vergleich zu untersuchen.

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