Article
Clinical Neurology
Guochao Chen, Dan-Chao Cai, Fengxiang Song, Yi Zhan, Lei Wei, Chunzi Shi, He Wang, Yuxin Shi
Summary: This study investigated the morphological changes in the brains of HIV-infected individuals using deformation-based morphometry (DBM) analysis. The results revealed alterations in both gray and white matter volume in frontal regions and the cerebellum, as well as disrupted functional connectivity. These structural changes were associated with cognitive performance.
FRONTIERS IN NEUROLOGY
(2022)
Article
Clinical Neurology
Michael Rebsamen, Piotr Radojewski, Richard McKinley, Mauricio Reyes, Roland Wiest, Christian Rummel
Summary: This study compared the sensitivity of different automated segmentation methods for assessing hippocampal sclerosis. The results showed that the deep learning-based segmentation method was the most sensitive in detecting hippocampal sclerosis. Additionally, shape features derived from the segmentations were able to accurately identify patients with hippocampal sclerosis. These findings have important implications for quantitative imaging of hippocampal sclerosis.
FRONTIERS IN NEUROLOGY
(2022)
Article
Mathematical & Computational Biology
Mikhail Lipin, Jean Bennett, Gui-Shuang Ying, Yinxi Yu, Manzar Ashtari
Summary: A novel edge enhancement algorithm was proposed to improve the reliability and accuracy of LGN morphology measurement using routine 3D-MRI imaging protocols. The algorithm significantly increased the contrast-to-noise ratio of LGN and surrounding structures, as well as doubling the original spatial resolution, showing potential for retrospective use on noisy and low contrast 3D brain images acquired in routine clinical MRI visits.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
(2021)
Article
Neurosciences
Liangjun Chen, Zhengwang Wu, Fenqiang Zhao, Ya Wang, Weili Lin, Li Wang, Gang Li
Summary: In this study, a context-guided, attention-based, coarse-to-fine deep framework is proposed to accurately segment subcortical structures from infant brain magnetic resonance (MR) images. The framework utilizes a SDM-Unet to predict signed distance maps (SDMs) at the coarse stage, which are then integrated with multi-modal intensity images to refine the segmentation using a multi-source and multi-path attention Unet (M2A-Unet) at the fine stage. The proposed framework achieves higher segmentation accuracy and exhibits good generalizability in both qualitative and quantitative evaluations.
Article
Anatomy & Morphology
Andrea Chiappiniello, Roberto Tarducci, Cristina Muscio, Maria Grazia Bruzzone, Marco Bozzali, Pietro Tiraboschi, Anna Nigri, Claudia Ambrosi, Elena Chipi, Stefania Ferraro, Cristina Festari, Roberto Gasparotti, Ruben Gianeri, Giovanni Giulietti, Lorella Mascaro, Chiara Montanucci, Valentina Nicolosi, Cristina Rosazza, Laura Serra, Giovanni B. Frisoni, Daniela Perani, Fabrizio Tagliavini, Jorge Jovicich
Summary: This study evaluated the test-retest reproducibility of hippocampal subfield segmentation using FreeSurfer 6.0 and found that longitudinal pipelines with 3D-T1 and 3D-FLAIR data resulted in more accurate and spatially reproducible segmentation compared to cross-sectional pipelines. Additionally, including high-resolution 2D-T2 data in the longitudinal pipeline may further improve reproducibility.
BRAIN STRUCTURE & FUNCTION
(2021)
Article
Engineering, Biomedical
Yan Dong, Ting Wang, Chiyuan Ma, Zhenxing Li, Ryad Chellali
Summary: In brain tumor segmentation, both high-precision local information and global contextual information are crucial. This paper proposes a brain tumor segmentation model called DE-Uformer, which utilizes both CNN encoder and Transformer encoder to extract local features and global representations. A nested encoder-aware feature fusion (NEaFF) module is introduced to effectively fuse the information from both encoders. Experimental results demonstrate that the proposed model outperforms state-of-the-art methods in brain tumor segmentation tasks.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Multidisciplinary Sciences
Olivier Roy, Jean Levasseur-Moreau, Emmanuelle Renauld, Luc J. Hebert, Jean Leblond, Mathieu Bilodeau, Shirley Fecteau
Summary: This study found that soldiers with PTSD exhibit brain structural differences compared to healthy individuals, including smaller and thinner frontal regions and larger subcortical structures, which may be related to impaired emotional regulation. These findings provide insights into potential therapeutic approaches for PTSD.
ANNALS OF THE NEW YORK ACADEMY OF SCIENCES
(2022)
Article
Psychology, Developmental
Ted K. Turesky, Talat Shama, Shahria Hafiz Kakon, Rashidul Haque, Nazrul Islam, Amala Someshwar, Borjan Gagoski, William A. Jr Jr Petri, Charles A. Nelson, Nadine Gaab
Summary: This study found that malnutrition may be one pathway through which socioeconomic status affects brain development and general cognitive ability in areas of extreme poverty, especially through its impact on subcortical and white matter subcortical volumes. Specifically, brain volume in the left pallidum and right ventral diencephalon played a significant role in mediating the relationship between diminished growth and full-scale IQ.
DEVELOPMENTAL COGNITIVE NEUROSCIENCE
(2021)
Article
Infectious Diseases
C. Bernard, B. Dilharreguy, H. Font, A. Ndoye Diop, J. M. Tine, I. Cisse Diakhate, M. Seydi, J. F. Dartigues, F. Dabis, G. Catheline, F. Bonnet
Summary: In Senegal, a study on brain alterations in PLHIV aged over 50 receiving ART showed a high prevalence of atrophy and WMH, with no significant association with HIV status. Unemployment and hypertension were associated with atrophy, while being over 60 years old was linked with WMH.
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
(2021)
Article
Neurosciences
David Andre Barriere, Arsene Ella, Frederic Szeremeta, Hans Adriaensen, William Meme, Elodie Chaillou, Martine Migaud, Sandra Meme, Frederic Levy, Matthieu Keller
Summary: Using new MRI resources, transient hypertrophies were observed in various brain regions of female mice during gestation and lactation. Highly maternal females exhibited different brain modifications compared to females with lower levels of maternal care.
Article
Neurosciences
Shao-Lun Lu, Heng-Chun Liao, Feng-Ming Hsu, Chun-Chih Liao, Feipei Lai, Furen Xiao
Summary: The ICTS dataset consists of contrast-enhanced T1-weighted images of 1500 patients, with tumors labeled by qualified neurosurgeons and radiation oncologists. This dataset is publicly available for ongoing benchmarking through an online evaluation system.
Article
Computer Science, Interdisciplinary Applications
Baoshi Chen, Lingling Zhang, Hongyan Chen, Kewei Liang, Xuzhu Chen
Summary: The proposed machine learning-based method in this paper demonstrates high accuracy in automatically detecting, segmenting, and classifying brain tumors, with a 96.05% accuracy for automatically classifying brain tumors. Further studies should focus on obtaining more negative examples and exploring the performance of deep learning algorithms for automatic diagnosis and segmentation of brain tumors.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2021)
Article
Neurosciences
Stener Nerland, Therese S. Stokkan, Kjetil N. Jorgensen, Laura A. Wortinger, Genevieve Richard, Dani Beck, Dennis van Der Meer, Lars T. Westlye, Ole A. Andreassen, Ingrid Agartz, Claudia Barth
Summary: In this study, five commonly used intracranial volume (ICV) estimation methods were compared. The results showed high correlations among these methods, with variations influenced by head size. The findings of associations between ICV and age were both positive and negative, depending on the dataset and estimation method. Longitudinal analysis demonstrated ICV reductions in mid- to late adulthood, providing strong evidence for age-related ICV changes.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Chloe C. Casagrande, Brandon J. Lew, Brittany K. Taylor, Mikki Schantell, Jennifer O'Neill, Pamela E. May, Susan Swindells, Tony W. Wilson
Summary: The study found that both HIV-infected individuals and controls exhibit similar somatosensory gating, but there are differences in the strength of spontaneous cortical activity in the left postcentral gyrus. Interestingly, HIV-infected individuals also showed a significant reduction in cortical thickness within the same tissue. Further analysis indicated that this reduction was significantly correlated with CD4 nadir levels and mediated the relationship between HIV infection and spontaneous cortical activity in the left postcentral gyrus.
HUMAN BRAIN MAPPING
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Darvin Yi, Endre Grovik, Elizabeth Tong, Michael Iv, Kyrre Eeg Emblem, Line Brennhaug Nilsen, Cathrine Saxhaug, Anna Latysheva, Kari Dolven Jacobsen, Aslaug Helland, Greg Zaharchuk, Daniel Rubin
Summary: In this study, different integration methods of MR pulse sequences were evaluated to optimize the performance of a deep-learning network for metastasis segmentation. Low variance integration levels and weight sharing modes were found to work best with limited training data. Adding an input-level dropout layer helped maintain network performance and allowed for inference on inputs with missing pulse sequences.
Article
Biochemistry & Molecular Biology
Susanne G. Mueller, Dieter J. Meyerhoff
Summary: Alcohol use disorders (AUD) are associated with gray matter (GM) atrophy, particularly in the frontal lobes, which can impact GM loss in other regions and potentially influence drinking behavior and relapse. Studies show that GM connectivity plays a crucial role in understanding the patterns of GM loss in interconnected regions.
Article
Substance Abuse
Timothy C. Durazzo, Linh-Chi Nguyen, Dieter J. Meyerhoff
ALCOHOL AND ALCOHOLISM
(2020)
Article
Biochemistry & Molecular Biology
Timothy C. Durazzo, Dieter J. Meyerhoff
Summary: Chronic cigarette smoking is associated with regional metabolite abnormalities in the human brain, particularly affecting GABA levels in different cortical regions. Smokers had lower GABA levels in the right DLPFC compared to nonsmokers, and higher ACC GABA levels were correlated with better decision-making abilities and auditory-verbal learning in smokers. Longitudinal studies with more female participants are needed to determine if these metabolite abnormalities persist or normalize with smoking cessation.
Article
Substance Abuse
Dieter J. Meyerhoff, Timothy C. Durazzo
ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH
(2020)
Article
Environmental Sciences
Linda L. Chao
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2020)
Article
Psychiatry
Angela M. Muller, Dieter J. Meyerhoff
FRONTIERS IN PSYCHIATRY
(2020)
Article
Neurosciences
Angela M. Muller, Dieter J. Meyerhoff
Summary: Abstinence and relapse are lifelong challenges for patients with AUD. The study revealed that successful recovery from AUD is not linked to regaining the brain organization found in non-drinking controls, but to a new brain configuration distinct from healthy controls. Resting-state fMRI offers valuable insights into neuroplastic adaptations associated with AUD treatment outcomes.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2021)
Article
Neuroimaging
Alison Myoraku, Adam Lang, Charles T. Taylor, R. Scott Mackin, Dieter J. Meyerhoff, Susanne Mueller, Irina A. Strigo, Duygu Tosun
Summary: The study found that differences in brain morphology between MDD patients and healthy controls are dependent on age and brain region, with significant age-by-group interactions in the lateral orbital frontal gyrus and insular subregions, making these regions potential targets for future longitudinal studies of MDD.
NEUROIMAGE-CLINICAL
(2022)
Article
Psychiatry
Angela M. Muller, David L. Pennington, Dieter J. Meyerhoff
Summary: This study found that substance use disorder patients exhibit gray matter loss mainly in the frontal cortex, and the patterns of brain alterations may differ across different types of substance use disorders. These alterations are also associated with functional networks in the brain.
FRONTIERS IN PSYCHIATRY
(2022)
Review
Biochemistry & Molecular Biology
Anna E. Kirkland, Brittney D. Browning, ReJoyce Green, Lorenzo Leggio, Dieter J. Meyerhoff, Lindsay M. Squeglia
Summary: Alcohol misuse and alcohol use disorder have neurobiological consequences as shown by the meta-analysis of proton magnetic resonance spectroscopy studies. These studies reveal alterations in brain metabolite levels, indicating decreased neuronal and axonal viability as well as membrane alterations related to alcohol misuse. The differences in creatine-containing metabolite levels were also noted. This study provides valuable information for further investigation of treatments targeting the observed disturbances.
MOLECULAR PSYCHIATRY
(2022)
Article
Neurosciences
Anna E. E. Kirkland, Brittney D. D. Browning, ReJoyce Green, Helen Liu, Anna M. M. Maralit, Pamela L. L. Ferguson, Dieter J. J. Meyerhoff, James J. J. Prisciandaro, Robert Miranda Jr, Kathleen T. T. Brady, Rachel L. L. Tomko, Kevin M. M. Gray, Lindsay M. M. Squeglia
Summary: Current treatments for adolescent alcohol use disorder (AUD) are limited in their efficacy, so investigating pharmacotherapies as adjunctive treatments is crucial. N-acetylcysteine is a promising candidate due to its tolerability and ability to modulate neurotransmitter systems. This preliminary investigation found no significant differences in brain metabolite levels or alcohol use between N-acetylcysteine and placebo, possibly due to the young age and non-treatment seeking status of the participants.
NEUROPSYCHOPHARMACOLOGY
(2023)
Article
Substance Abuse
A. C. May, D. J. Meyerhoff, T. C. Durazzo
Summary: This study investigated differences in brain structures associated with varying levels of alcohol consumption among individuals with alcohol use disorder (AUD) after treatment. The findings suggest that individuals who consume low-risk levels of alcohol post-treatment have brain volumes more similar to abstainers, indicating that harm reduction may be a beneficial and attainable goal for some individuals seeking treatment for AUD.
ALCOHOL-CLINICAL AND EXPERIMENTAL RESEARCH
(2023)
Article
Neuroimaging
Angela M. Muller, Dieter J. Meyerhoff
Summary: The study found that alcohol use disorder is associated with brain-wide gray matter reduction, with particular impact on the frontocerebellar circuit. There were significant differences in gray matter volume in the frontocerebellar circuit between abstainers and future relapsers, with abstainers showing increased gray matter with abstinence. Additionally, both AUD groups showed global atrophy relative to controls at follow-up, with different recovery patterns observed.
NEUROIMAGE-CLINICAL
(2021)
Meeting Abstract
Substance Abuse
A. M. Muller, D. J. Meyerhoff
ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH
(2020)
Meeting Abstract
Substance Abuse
A. M. Muller, D. J. Meyerhoff
ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH
(2020)
