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  1. Article: Cerebral perivascular spaces as predictors of dementia risk and accelerated brain atrophy.

    Barisano, Giuseppe / Iv, Michael / Choupan, Jeiran / Hayden-Gephart, Melanie

    medRxiv : the preprint server for health sciences

    2024  

    Abstract: Cerebral small vessel disease, an important risk factor for dementia, lacks robust, ...

    Abstract Cerebral small vessel disease, an important risk factor for dementia, lacks robust,
    Language English
    Publishing date 2024-04-26
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2024.04.25.24306324
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Sex, gender diversity, and brain structure in early adolescence.

    Torgerson, Carinna / Ahmadi, Hedyeh / Choupan, Jeiran / Fan, Chun Chieh / Blosnich, John R / Herting, Megan M

    Human brain mapping

    2024  Volume 45, Issue 5, Page(s) e26671

    Abstract: There remains little consensus about the relationship between sex and brain structure, particularly in early adolescence. Moreover, few pediatric neuroimaging studies have analyzed both sex and gender as variables of interest-many of which included small ...

    Abstract There remains little consensus about the relationship between sex and brain structure, particularly in early adolescence. Moreover, few pediatric neuroimaging studies have analyzed both sex and gender as variables of interest-many of which included small sample sizes and relied on binary definitions of gender. The current study examined gender diversity with a continuous felt-gender score and categorized sex based on X and Y allele frequency in a large sample of children ages 9-11 years old (N = 7195). Then, a statistical model-building approach was employed to determine whether gender diversity and sex independently or jointly relate to brain morphology, including subcortical volume, cortical thickness, gyrification, and white matter microstructure. Additional sensitivity analyses found that male versus female differences in gyrification and white matter were largely accounted for by total brain volume, rather than sex per se. The model with sex, but not gender diversity, was the best-fitting model in 60.1% of gray matter regions and 61.9% of white matter regions after adjusting for brain volume. The proportion of variance accounted for by sex was negligible to small in all cases. While models including felt-gender explained a greater amount of variance in a few regions, the felt-gender score alone was not a significant predictor on its own for any white or gray matter regions examined. Overall, these findings demonstrate that at ages 9-11 years old, sex accounts for a small proportion of variance in brain structure, while gender diversity is not directly associated with neurostructural diversity.
    MeSH term(s) Humans ; Male ; Female ; Adolescent ; Child ; Magnetic Resonance Imaging/methods ; Brain/diagnostic imaging ; Brain/anatomy & histology ; Gray Matter/diagnostic imaging ; Gray Matter/anatomy & histology ; White Matter/diagnostic imaging ; Neuroimaging
    Language English
    Publishing date 2024-04-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1197207-5
    ISSN 1097-0193 ; 1065-9471
    ISSN (online) 1097-0193
    ISSN 1065-9471
    DOI 10.1002/hbm.26671
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Perivascular spaces in Alzheimer's disease are associated with inflammatory, stress-related, and hypertension biomarkers.

    Sibilia, Francesca / Sheikh-Bahaei, Nasim / Mack, Wendy J / Choupan, Jeiran

    bioRxiv : the preprint server for biology

    2023  

    Abstract: Perivascular spaces (PVS) are fluid-filled spaces surrounding the brain vasculature. Literature suggests that PVS may play a significant role in aging and neurological disorders, including Alzheimer's disease (AD). Cortisol, a stress hormone, has been ... ...

    Abstract Perivascular spaces (PVS) are fluid-filled spaces surrounding the brain vasculature. Literature suggests that PVS may play a significant role in aging and neurological disorders, including Alzheimer's disease (AD). Cortisol, a stress hormone, has been implicated in the development and progression of AD. Hypertension, a common condition in older adults, has been found to be a risk factor for AD. Hypertension may contribute to PVS enlargement, impairing the clearance of waste products from the brain and promoting neuroinflammation. This study aims to understand the potential interactions between PVS, cortisol, hypertension, and inflammation in the context of cognitive impairment. Using MRI scans acquired at 1.5T, PVS were quantified in a cohort of 465 individuals with cognitive impairment. PVS was calculated in the basal ganglia and centrum semiovale using an automated segmentation approach. Levels of cortisol and angiotensin-converting enzyme (ACE) (an indicator of hypertension) were measured from plasma. Inflammatory biomarkers, such as cytokines and matrix metalloproteinases, were analyzed using advanced laboratory techniques. Main effect and interaction analyses were performed to examine the associations between PVS severity, cortisol levels, hypertension, and inflammatory biomarkers. In the centrum semiovale, higher levels of inflammation reduced cortisol associations with PVS volume fraction. For ACE, an inverse association with PVS was seen only when interacting with TNFr2 (a transmembrane receptor of TNF). There was also a significant inverse main effect of TNFr2. In the PVS basal ganglia, a significant positive association was found with TRAIL (a TNF receptor inducing apoptosis). These findings show for the first time the intricate relationships between PVS structure and the levels of stress-related, hypertension, and inflammatory biomarkers. This research could potentially guide future studies regarding the underlying mechanisms of AD pathogenesis and the potential development of novel therapeutic strategies targeting these inflammation factors.
    Language English
    Publishing date 2023-06-05
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.06.02.543504
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Brain perivascular space imaging across the human lifespan.

    Lynch, Kirsten M / Sepehrband, Farshid / Toga, Arthur W / Choupan, Jeiran

    NeuroImage

    2023  Volume 271, Page(s) 120009

    Abstract: Enlarged perivascular spaces (PVS) are considered a biomarker for vascular pathology and are observed in normal aging and neurological conditions; however, research on the role of PVS in health and disease are hindered by the lack of knowledge regarding ... ...

    Abstract Enlarged perivascular spaces (PVS) are considered a biomarker for vascular pathology and are observed in normal aging and neurological conditions; however, research on the role of PVS in health and disease are hindered by the lack of knowledge regarding the normative time course of PVS alterations with age. To this end, we characterized the influence of age, sex and cognitive performance on PVS anatomical characteristics in a large cross-sectional cohort (∼1400) of healthy subjects between 8 and 90 years of age using multimodal structural MRI data. Our results show age is associated with wider and more numerous MRI-visible PVS over the course of the lifetime with spatially-varying patterns of PVS enlargement trajectories. In particular, regions with low PVS volume fraction in childhood are associated with rapid age-related PVS enlargement (e.g., temporal regions), while regions with high PVS volume fraction in childhood are associated with minimal age-related PVS alterations (e.g., limbic regions). PVS burden was significantly elevated in males compared to females with differing morphological time courses with age. Together, these findings contribute to our understanding of perivascular physiology across the healthy lifespan and provide a normative reference for the spatial distribution of PVS enlargement patterns to which pathological alterations can be compared.
    MeSH term(s) Male ; Female ; Humans ; Glymphatic System ; Longevity ; Cross-Sectional Studies ; Magnetic Resonance Imaging/methods ; Aging
    Language English
    Publishing date 2023-03-11
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1147767-2
    ISSN 1095-9572 ; 1053-8119
    ISSN (online) 1095-9572
    ISSN 1053-8119
    DOI 10.1016/j.neuroimage.2023.120009
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Sex, gender diversity, and brain structure in children ages 9 to 11 years old.

    Torgerson, Carinna / Ahmadi, Hedyeh / Choupan, Jeiran / Fan, Chun Chieh / Blosnich, John R / Herting, Megan M

    bioRxiv : the preprint server for biology

    2023  

    Abstract: There remains little consensus about the relationship between sex and brain structure, particularly in childhood. Moreover, few pediatric neuroimaging studies have analyzed both sex and gender as variables of interest - many of which included small ... ...

    Abstract There remains little consensus about the relationship between sex and brain structure, particularly in childhood. Moreover, few pediatric neuroimaging studies have analyzed both sex and gender as variables of interest - many of which included small sample sizes and relied on binary definitions of gender. The current study examined gender diversity with a continuous felt-gender score and categorized sex based on X and Y allele frequency in a large sample of children ages 9-11 years-old (N=7693). Then, a statistical model-building approach was employed to determine whether gender diversity and sex independently or jointly relate to brain morphology, including subcortical volume, cortical thickness, gyrification, and white matter microstructure. The model with sex, but not gender diversity, was the best-fitting model in 75% of gray matter regions and 79% of white matter regions examined. The addition of gender to the sex model explained significantly more variance than sex alone with regard to bilateral cerebellum volume, left precentral cortical thickness, as well as gyrification in the right superior frontal gyrus, right parahippocampal gyrus, and several regions in the left parietal lobe. For mean diffusivity in the left uncinate fasciculus, the model with sex, gender, and their interaction captured the most variance. Nonetheless, the magnitude of variance accounted for by sex was small in all cases and felt-gender score was not a significant predictor on its own for any white or gray matter regions examined. Overall, these findings demonstrate that at ages 9-11 years-old, sex accounts for a small proportion of variance in brain structure, while gender diversity is not directly associated with neurostructural diversity.
    Language English
    Publishing date 2023-07-29
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.07.28.551036
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Effects of sleep on brain perivascular space in a cognitively healthy population.

    Shih, Nien-Chu / Barisano, Giuseppe / Lincoln, Karen D / Mack, Wendy J / Sepehrband, Farshid / Choupan, Jeiran

    Sleep medicine

    2023  Volume 111, Page(s) 170–179

    Abstract: The magnetic resonance imaging (MRI) visible perivascular space (PVS) reportedly clears amyloid-β and metabolic waste during sleep. Previous studies reported an association between sleep and the PVS in small vessel disease, traumatic brain injury, and ... ...

    Abstract The magnetic resonance imaging (MRI) visible perivascular space (PVS) reportedly clears amyloid-β and metabolic waste during sleep. Previous studies reported an association between sleep and the PVS in small vessel disease, traumatic brain injury, and Alzheimer's disease. However, this relationship in a healthy cohort is still unclear. Here, we used the Human Connectome Project Aging dataset to analyze the relationship between sleep and the PVS in cognitively healthy adults across the aging continuum. We measured sleep parameters using the self-reported Pittsburgh Sleep Quality Index questionnaire. We found that older adults who had better sleep quality and sleep efficiency presented with a larger PVS volume fraction in the basal ganglia (BG). However, sleep measures were not associated with PVS volume fraction in the centrum semiovale (CSO). In addition, we found that body mass index (BMI) influenced the BG-PVS across middle-aged and older participants. In the entire cognitively healthy cohort, the effect of sleep quality on PVS volume fraction was mediated by BMI. However, BMI did not influence this effect in the older cohort. Furthermore, there are significant differences in PVS volume fraction across racial/ethnic cohorts. In summary, the effect of sleep on the PVS volume alteration was different in the middle-aged adults and older adults.
    MeSH term(s) Middle Aged ; Humans ; Aged ; Glymphatic System ; Aging ; Magnetic Resonance Imaging/methods ; Brain Injuries, Traumatic ; Sleep
    Language English
    Publishing date 2023-09-25
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2012041-2
    ISSN 1878-5506 ; 1389-9457
    ISSN (online) 1878-5506
    ISSN 1389-9457
    DOI 10.1016/j.sleep.2023.09.024
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: The association between white matter hyperintensities and amyloid and tau deposition.

    Alban, Sierra L / Lynch, Kirsten M / Ringman, John M / Toga, Arthur W / Chui, Helena C / Sepehrband, Farshid / Choupan, Jeiran

    NeuroImage. Clinical

    2023  Volume 38, Page(s) 103383

    Abstract: White matter hyperintensities (WMHs) frequently occur in Alzheimer's Disease (AD) and have a contribution from ischemia, though their relationship with β-amyloid and cardiovascular risk factors (CVRFs) is not completely understood. We used AT ... ...

    Abstract White matter hyperintensities (WMHs) frequently occur in Alzheimer's Disease (AD) and have a contribution from ischemia, though their relationship with β-amyloid and cardiovascular risk factors (CVRFs) is not completely understood. We used AT classification to categorize individuals based on their β-amyloid and tau pathologies, then assessed the effects of β-amyloid and tau on WMH volume and number. We then determined regions in which β-amyloid and WMH accumulation were related. Last, we analyzed the effects of various CVRFs on WMHs. As secondary analyses, we observed effects of age and sex differences, atrophy, cognitive scores, and APOE genotype. PET, MRI, FLAIR, demographic, and cardiovascular health data was collected from the Alzheimer's Disease Neuroimaging Initiative (ADNI-3) (N = 287, 48 % male). Participants were categorized as A + and T + if their Florbetapir SUVR and Flortaucipir SUVR were above 0.79 and 1.25, respectively. WMHs were mapped on MRI using a deep convolutional neural network (Sepehrband et al., 2020). CVRF scores were based on history of hypertension, systolic and diastolic blood pressure, pulse rate, respiration rate, BMI, and a cumulative score with 6 being the maximum score. Regression models and Pearson correlations were used to test associations and correlations between variables, respectively, with age, sex, years of education, and scanner manufacturer as covariates of no interest. WMH volume percent was significantly associated with global β-amyloid (r = 0.28, p < 0.001), but not tau (r = 0.05, p = 0.25). WMH volume percent was higher in individuals with either A + or T + pathology compared to controls, particularly within in the A+/T + group (p = 0.007, Cohen's d = 0.4, t = -2.5). Individual CVRFs nor cumulative CVRF scores were associated with increased WMH volume. Finally, the regions where β-amyloid and WMH count were most positively associated were the middle temporal region in the right hemisphere (r = 0.18, p = 0.002) and the fusiform region in the left hemisphere (r = 0.017, p = 0.005). β-amyloid and WMH have a clear association, though the mechanism facilitating this association is still not fully understood. The associations found between β-amyloid and WMH burden emphasizes the relationship between β-amyloid and vascular lesion formation while factors like CVRFs, age, and sex affect AD development through various mechanisms. These findings highlight potential causes and mechanisms of AD as targets for future preventions and treatments. Going forward, a larger emphasis may be placed on β-amyloid's vascular effects and the implications of impaired brain clearance in AD.
    MeSH term(s) Humans ; Male ; Female ; Alzheimer Disease/pathology ; White Matter/pathology ; tau Proteins/metabolism ; Cognitive Dysfunction/pathology ; Amyloid beta-Peptides/metabolism ; Amyloidogenic Proteins ; Amyloid
    Chemical Substances tau Proteins ; Amyloid beta-Peptides ; Amyloidogenic Proteins ; Amyloid
    Language English
    Publishing date 2023-03-20
    Publishing country Netherlands
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 2701571-3
    ISSN 2213-1582 ; 2213-1582
    ISSN (online) 2213-1582
    ISSN 2213-1582
    DOI 10.1016/j.nicl.2023.103383
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Weakly supervised perivascular spaces segmentation with salient guidance of Frangi filter.

    Lan, Haoyu / Lynch, Kirsten M / Custer, Rachel / Shih, Nien-Chu / Sherlock, Patrick / Toga, Arthur W / Sepehrband, Farshid / Choupan, Jeiran

    Magnetic resonance in medicine

    2023  Volume 89, Issue 6, Page(s) 2419–2431

    Abstract: Purpose: To develop a weakly supervised 3D perivascular spaces (PVS) segmentation model that combines the filter-based image processing algorithm and the convolutional neural network.: Methods: We present a weakly supervised learning method for PVS ... ...

    Abstract Purpose: To develop a weakly supervised 3D perivascular spaces (PVS) segmentation model that combines the filter-based image processing algorithm and the convolutional neural network.
    Methods: We present a weakly supervised learning method for PVS segmentation by combing a rule-based image processing approach Frangi filter with a canonical deep learning algorithm Unet using conditional random field theory. The weighted cross entropy loss function and the training patch selection were implemented for the optimization and to alleviate the class imbalance issue. The performance of the model was evaluated on the Human Connectome Project data.
    Results: The proposed method increases the true positive rate compared to the rule-based method and reduces the false positive rate by 36% in the weakly supervised training experiment and 39.4% in the supervised training experiment compared to Unet, which results in superior overall performance. In addition, by training the model on manually quality controlled and annotated data which includes the subjects with the presence of white matter hyperintensities, the proposed method differentiates between PVS and white matter hyperintensities, which reduces the false positive rate by 78.5% compared to weakly supervised trained model.
    Conclusions: Combing the filter-based image processing algorithm and the convolutional neural network algorithm could improve the model's segmentation accuracy, while reducing the training dependence on the large scale annotated PVS mask data by the trained physician. Compared to the filter-based image processing algorithm, the data driven PVS segmentation model using quality-controlled data as the training target could differentiate the white matter hyperintensity from PVS resulting low false positive rate.
    MeSH term(s) Humans ; Magnetic Resonance Imaging/methods ; Neural Networks, Computer ; Image Processing, Computer-Assisted/methods ; Algorithms
    Language English
    Publishing date 2023-01-24
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 605774-3
    ISSN 1522-2594 ; 0740-3194
    ISSN (online) 1522-2594
    ISSN 0740-3194
    DOI 10.1002/mrm.29593
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Sight restoration reverses blindness-induced cross-modal functional connectivity changes between the visual and somatosensory cortex at rest.

    Nadvar, Negin / Stiles, Noelle / Choupan, Jeiran / Patel, Vivek / Ameri, Hossein / Shi, Yonggang / Liu, Zhongming / Jonides, John / Weiland, James

    Frontiers in neuroscience

    2022  Volume 16, Page(s) 902866

    Abstract: Resting-state functional connectivity (rsFC) has been used to assess the effect of vision loss on brain plasticity. With the emergence of vision restoration therapies, rsFC analysis provides a means to assess the functional changes following sight ... ...

    Abstract Resting-state functional connectivity (rsFC) has been used to assess the effect of vision loss on brain plasticity. With the emergence of vision restoration therapies, rsFC analysis provides a means to assess the functional changes following sight restoration. Our study demonstrates a partial reversal of blindness-induced rsFC changes in Argus II retinal prosthesis patients compared to those with severe retinitis pigmentosa (RP). For 10 healthy control (HC), 10 RP, and 7 Argus II subjects, four runs of resting-state functional magnetic resonance imaging (fMRI) per subject were included in our study. rsFC maps were created with the primary visual cortex (V1) as the seed. The rsFC group contrast maps for RP > HC, Argus II > RP, and Argus II > HC revealed regions in the post-central gyrus (PostCG) with significant reduction, significant enhancement, and no significant changes in rsFC to V1 for the three contrasts, respectively. These findings were also confirmed by the respective V1-PostCG ROI-ROI analyses between test groups. Finally, the extent of significant rsFC to V1 in the PostCG region was 5,961 in HC, 0 in RP, and 842 mm
    Language English
    Publishing date 2022-09-23
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2411902-7
    ISSN 1662-453X ; 1662-4548
    ISSN (online) 1662-453X
    ISSN 1662-4548
    DOI 10.3389/fnins.2022.902866
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Imaging perivascular space structure and function using brain MRI.

    Barisano, Giuseppe / Lynch, Kirsten M / Sibilia, Francesca / Lan, Haoyu / Shih, Nien-Chu / Sepehrband, Farshid / Choupan, Jeiran

    NeuroImage

    2022  Volume 257, Page(s) 119329

    Abstract: In this article, we provide an overview of current neuroimaging methods for studying perivascular spaces (PVS) in humans using brain MRI. In recent years, an increasing number of studies highlighted the role of PVS in cerebrospinal/interstial fluid ... ...

    Abstract In this article, we provide an overview of current neuroimaging methods for studying perivascular spaces (PVS) in humans using brain MRI. In recent years, an increasing number of studies highlighted the role of PVS in cerebrospinal/interstial fluid circulation and clearance of cerebral waste products and their association with neurological diseases. Novel strategies and techniques have been introduced to improve the quantification of PVS and to investigate their function and morphological features in physiological and pathological conditions. After a brief introduction on the anatomy and physiology of PVS, we examine the latest technological developments to quantitatively analyze the structure and function of PVS in humans with MRI. We describe the applications, advantages, and limitations of these methods, providing guidance and suggestions on the acquisition protocols and analysis techniques that can be applied to study PVS in vivo. Finally, we review the human neuroimaging studies on PVS across the normative lifespan and in the context of neurological disorders.
    MeSH term(s) Brain/diagnostic imaging ; Brain/pathology ; Glymphatic System/diagnostic imaging ; Humans ; Magnetic Resonance Imaging/methods ; Neuroimaging/methods
    Language English
    Publishing date 2022-05-21
    Publishing country United States
    Document type Journal Article ; Review ; Research Support, N.I.H., Extramural
    ZDB-ID 1147767-2
    ISSN 1095-9572 ; 1053-8119
    ISSN (online) 1095-9572
    ISSN 1053-8119
    DOI 10.1016/j.neuroimage.2022.119329
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