The correspondence between morphometric MRI and metabolic profile in Rasmussen’s encephalitis

Tang, Chongyang; Ren, Peng; Ma, Kaiqiang; Li, Siyang; Wang, Xiongfei; Guan, Yuguang; Zhou, Jian; Li, Tianfu; Liang, Xia; Luan, Guoming

doi:10.1016/j.nicl.2021.102918

Cited by 12 publications

(5 citation statements)

References 35 publications

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“…Indeed, a novel analysis toolbox, developed by Dukart et al, implemented this idea of the indirect study of potential neurotransmission changes, providing an elegant analysis pipeline for calculating cross-sample spatial regression coefficients (spatial-RC) reflecting the relationship between brain metric individual difference maps and molecular imaging-derived normative neurotransmitter maps (Dukart et al, 2021). Previous studies using the toolbox provided reliable results and were able to validate the methodology (Chen et al, 2021;Dugré & Potvin, 2022;Han et al, 2022;Martins et al, 2022;Oldehinkel et al, 2022;Park et al, 2022;Sakreida et al, 2022;Tang et al, 2022;Xu et al, 2022;Zarkali et al, 2022). There are similar methodological approaches, for example, the Receptor-Enriched Analysis of functional Connectivity by Targets (REACT) toolbox (Dipasquale et al, 2019), whose analytic approach combines pharmacological rs-fMRI analyses and specific neurotransmitter receptor distributions by PET imaging in healthy brains, or, in general, toolboxes from the field of imaging transcriptomics that work in a similar way (e.g., Imaging Transcriptomics [Martins et al, 2021] or Gene Category Enrichment Analysis [Fulcher et al, 2021]).…”

Section: Lipska Et Al Demonstrated Delayed and Persistent Behavioral ...mentioning

confidence: 99%

Indirect evidence for altered dopaminergic neurotransmission in very premature‐born adults

Schinz,

Schmitz‐Koep,

Zimmermann

et al. 2023

Human Brain Mapping

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While animal models indicate altered brain dopaminergic neurotransmission after premature birth, corresponding evidence in humans is scarce due to missing molecular imaging studies. To overcome this limitation, we studied dopaminergic neurotransmission changes in human prematurity indirectly by evaluating the spatial co‐localization of regional alterations in blood oxygenation fluctuations with the distribution of adult dopaminergic neurotransmission. The study cohort comprised 99 very premature‐born (<32 weeks of gestation and/or birth weight below 1500 g) and 107 full‐term born young adults, being assessed by resting‐state functional MRI (rs‐fMRI) and IQ testing. Normative molecular imaging dopamine neurotransmission maps were derived from independent healthy control groups. We computed the co‐localization of local (rs‐fMRI) activity alterations in premature‐born adults with respect to term‐born individuals to different measures of dopaminergic neurotransmission. We performed selectivity analyses regarding other neuromodulatory systems and MRI measures. In addition, we tested if the strength of the co‐localization is related to perinatal measures and IQ. We found selectively altered co‐localization of rs‐fMRI activity in the premature‐born cohort with dopamine‐2/3‐receptor availability in premature‐born adults. Alterations were specific for the dopaminergic system but not for the used MRI measure. The strength of the co‐localization was negatively correlated with IQ. In line with animal studies, our findings support the notion of altered dopaminergic neurotransmission in prematurity which is associated with cognitive performance.

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Section: Lipska Et Al Demonstrated Delayed and Persistent Behavioral ...mentioning

confidence: 99%

Indirect evidence for altered dopaminergic neurotransmission in very premature‐born adults

Schinz,

Schmitz‐Koep,

Zimmermann

et al. 2023

Human Brain Mapping

View full text Add to dashboard Cite

show abstract

“…An earlier study employed both resting-state fMRI and structural MRI and associated changes in GMV and intrinsic connectivities with serotonergic, dopaminergic and μ-opioid receptor systems in heavy cannabis users (Hirjak et al, 2022). Tang and colleagues investigated volumetric atrophy, glucose hypometabolism, and neurotransmitter distribution utilizing both MRI and positron emission tomography data in Rasmussen’s encephalitis (Tang et al, 2022). Another study conducted meta-analytic co-activation analyses on lesion masks of individuals who acquired antisocial behaviors following their brain lesions and implicated multiple cortical and subcortical areas as well as the serotoninergic system (Dugre and Potvin, 2022).…”

Section: Introductionmentioning

confidence: 99%

Functional networks of reward and punishment processing and their molecular profiles predicting the severity of young adult drinking

Li,

Yang,

Hao

et al. 2024

Preprint

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BackgroundAlcohol misuse is associated with altered punishment and reward processing. Here, we investigated neural network responses to reward and punishment and the molecular profiles of the connectivity features predicting alcohol use severity in young adults.MethodsWe curated the Human Connectome Project data and employed connectome-based predictive modeling (CPM) to examine how functional connectivity (FC) features during wins and losses associated with alcohol use severity in 981 young adults. Alcohol use severity was quantified by the first principal component of principal component analysis of all drinking measures of the Semi-Structured Assessment for the Genetics of Alcoholism. We combined the CPM findings and JuSpace toolbox to characterize the molecular profiles of the network connectivity features of alcohol use severity.ResultsThe connectomics predicting alcohol use severity appeared specific, comprising less than 0.12% of all connectivity features. These connectivities featured the medial frontal, motor/sensory, and cerebellum/brainstem networks during punishment processing and medial frontal, fronto-parietal, and motor/sensory networks during reward processing. Spatial correlation analyses showed that these networks were associated predominantly with serotonergic and GABAa signaling.ConclusionsA distinct pattern of network connectivity predicted alcohol use severity in young adult drinkers. These network features were associated with the serotonergic and GABAa signaling. These “neural fingerprints” help in elucidating the impact of alcohol misuse on the brain and providing evidence of new targets for future intervention.

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“…An earlier study employed both resting-state fMRI and structural MRI and associated changes in GMV and intrinsic connectivities with serotonergic, dopaminergic and μ-opioid receptor systems in heavy cannabis users [ 24 ]. Tang and colleagues investigated volumetric atrophy, glucose hypometabolism, and neurotransmitter distribution utilizing both MRI and positron emission tomography data in Rasmussen’s encephalitis [ 25 ]. Another study conducted meta-analytic co-activation analyses on lesion masks of individuals who acquired antisocial behaviors following their brain lesions and implicated multiple cortical and subcortical areas as well as the serotoninergic system [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

Functional Networks of Reward and Punishment Processing and Their Molecular Profiles Predicting the Severity of Young Adult Drinking

Li,

Yang,

Hao

et al. 2024

Brain Sciences

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Alcohol misuse is associated with altered punishment and reward processing. Here, we investigated neural network responses to reward and punishment and the molecular profiles of the connectivity features predicting alcohol use severity in young adults. We curated the Human Connectome Project data and employed connectome-based predictive modeling (CPM) to examine how functional connectivity (FC) features during wins and losses are associated with alcohol use severity, quantified by Semi-Structured Assessment for the Genetics of Alcoholism, in 981 young adults. We combined the CPM findings and the JuSpace toolbox to characterize the molecular profiles of the network connectivity features of alcohol use severity. The connectomics predicting alcohol use severity appeared specific, comprising less than 0.12% of all features, including medial frontal, motor/sensory, and cerebellum/brainstem networks during punishment processing and medial frontal, fronto-parietal, and motor/sensory networks during reward processing. Spatial correlation analyses showed that these networks were associated predominantly with serotonergic and GABAa signaling. To conclude, a distinct pattern of network connectivity predicted alcohol use severity in young adult drinkers. These “neural fingerprints” elucidate how alcohol misuse impacts the brain and provide evidence of new targets for future intervention.

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The correspondence between morphometric MRI and metabolic profile in Rasmussen’s encephalitis

Abstract: Highlights The GM atrophy located in the insular and temporal cortices of the affected side. Positive correlation was found in the brain region featuring MRI atrophy and FDG-PET. GM atrophy was spatially correlated with dopaminergic and serotonergic mapping in RE.

Cited by 12 publications

References 35 publications

Indirect evidence for altered dopaminergic neurotransmission in very premature‐born adults

Indirect evidence for altered dopaminergic neurotransmission in very premature‐born adults

Functional networks of reward and punishment processing and their molecular profiles predicting the severity of young adult drinking

Functional Networks of Reward and Punishment Processing and Their Molecular Profiles Predicting the Severity of Young Adult Drinking

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