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View article: Sex-specific differences in brain activity dynamics of youth with a family history of substance use disorder
Sex-specific differences in brain activity dynamics of youth with a family history of substance use disorder Open
An individual’s risk of substance use disorder (SUD) is shaped by potent biosocial factors. Family history is one of the strongest predictors, yet its impact on the brain before substance exposure remains unclear. Here we apply network con…
View article: Cocaine use disorder is associated with lower brain state transition energy particularly in higher order and excitatory networks
Cocaine use disorder is associated with lower brain state transition energy particularly in higher order and excitatory networks Open
Cocaine use disorder (CUD) detrimentally impacts personal health, social relationships, and economic opportunity. Here, we assess CUD-associated shifts in brain dynamics using Network Control Theory and examine how they align with previous…
View article: Radiomic Prediction of Parkinson’s Disease Deep Brain Stimulation Surgery Outcomes using Quantitative Susceptibility Mapping and Label Noise Compensation
Radiomic Prediction of Parkinson’s Disease Deep Brain Stimulation Surgery Outcomes using Quantitative Susceptibility Mapping and Label Noise Compensation Open
View article: Disrupted Energy Landscape in Individuals with Mild Cognitive Impairment: Insights from Network Control Theory
Disrupted Energy Landscape in Individuals with Mild Cognitive Impairment: Insights from Network Control Theory Open
Introduction Patients with mild cognitive impairment (MCI) have shown disruptions in both brain structure and function, often studied separately. However, understanding the relationship between brain structure and function can provide valu…
View article: Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis
Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Open
Quantitative susceptibility maps from magnetic resonance images can provide both prognostic and diagnostic information in multiple sclerosis, a neurodegenerative disease characterized by the formation of lesions in white matter brain tissu…
View article: Predicting cognition using estimated structural and functional connectivity networks and artificial intelligence in multiple sclerosis
Predicting cognition using estimated structural and functional connectivity networks and artificial intelligence in multiple sclerosis Open
Our prior work demonstrated that estimated structural and functional connectomes (eSC and eFC) generated using multiple sclerosis (MS) lesion masks and artificial intelligence (AI) models can predict disability as effectively as SC and FC …
View article: Predicting cognition using estimated structural and functional connectivity networks and artificial intelligence in multiple sclerosis
Predicting cognition using estimated structural and functional connectivity networks and artificial intelligence in multiple sclerosis Open
Background Our prior work demonstrated that estimated structural and functional connectomes (eSC and eFC) generated using multiple sclerosis (MS) lesion masks and artificial intelligence (AI) models can predict disability as effectively as…
View article: Novel Risk Factors for Predicting Immune Effector Cell-Associated Neurotoxicity Syndrome
Novel Risk Factors for Predicting Immune Effector Cell-Associated Neurotoxicity Syndrome Open
ICANS is a common form of neurological immunotoxicity from CAR T-cell therapy (CAR-T). While high tumor burden, product type and cell dose are established risk factors, there are many unknowns. Our objective was to characterize novel neuro…
View article: TSPO-PET Reveals Higher Inflammation in White Matter Disrupted by Paramagnetic Rim Lesions in Multiple Sclerosis
TSPO-PET Reveals Higher Inflammation in White Matter Disrupted by Paramagnetic Rim Lesions in Multiple Sclerosis Open
Objective To explore whether the inflammatory activity is higher in white matter (WM) tracts disrupted by paramagnetic rim lesions (PRLs) and if inflammation in PRL-disrupted WM tracts is associated with disability in people with multiple …
View article: Decreased entropy of functional MRI signals in individuals with mild cognitive impairment compared to cognitively normal controls
Decreased entropy of functional MRI signals in individuals with mild cognitive impairment compared to cognitively normal controls Open
Background Mild cognitive impairment (MCI) is a clinical cognitive deficit that is not severe enough to meet the threshold for Alzheimer's Disease (AD); however, MCI patients have an increased risk of developing AD. Therefore, a diagnosis …
View article: Sex-specific differences in brain activity dynamics of youth with a family history of substance use disorder
Sex-specific differences in brain activity dynamics of youth with a family history of substance use disorder Open
An individual’s risk of substance use disorder (SUD) is shaped by a complex interplay of potent biosocial factors. Current neurodevelopmental models posit vulnerability to SUD in youth is due to an overreactive reward system and reduced in…
View article: Sex-specific differences in brain activity dynamics of youth with a family history of substance use disorder
Sex-specific differences in brain activity dynamics of youth with a family history of substance use disorder Open
An individual’s risk of substance use disorder (SUD) is shaped by a complex interplay of potent biosocial factors. Current neurodevelopmental models posit vulnerability to SUD in youth is due to an overreactive reward system and reduced in…
View article: Release the Krakencoder: A unified brain connectome translation and fusion tool
Release the Krakencoder: A unified brain connectome translation and fusion tool Open
Brain connectivity can be estimated in many ways, depending on modality and processing strategy. Here we present the Krakencoder, a joint connectome mapping tool that simultaneously, bidirectionally translates between structural (SC) and f…
View article: Point of View on Outcome Prediction Models in Post-Stroke Motor Recovery
Point of View on Outcome Prediction Models in Post-Stroke Motor Recovery Open
Stroke is a leading cause of disability worldwide which can cause significant and persistent upper limb (UL) impairment. It is difficult to predict UL motor recovery after stroke and to forecast the expected outcomes of rehabilitation inte…
View article: The sequence of regional structural disconnectivity due to multiple sclerosis lesions
The sequence of regional structural disconnectivity due to multiple sclerosis lesions Open
Objective Prediction of disease progression is challenging in multiple sclerosis (MS) as the sequence of lesion development and retention of inflammation within a subset of chronic lesions is heterogeneous among patients. We investigated t…
View article: Larger Lesion Volume in People with Multiple Sclerosis is Associated with Increased Transition Energies Between Brain States and Decreased Entropy of Brain Activity
Larger Lesion Volume in People with Multiple Sclerosis is Associated with Increased Transition Energies Between Brain States and Decreased Entropy of Brain Activity Open
The mapping between severity or location of this brain tissue damage and an individual's impairment remains challenging in multiple sclerosis (MS). Network control theory (NCT) can be used to characterize the brain's energetic landscape us…
View article: Larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activity
Larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activity Open
Background Neuronal loss, demyelination, and inflammation in the brains of people with multiple sclerosis (pwMS) can cause impairment or disability across a range of domains. However, the mapping between severity or location of this brain …
View article: Dynamic Functional Connectivity Better Predicts Disability Than Structural and Static Functional Connectivity in People With Multiple Sclerosis
Dynamic Functional Connectivity Better Predicts Disability Than Structural and Static Functional Connectivity in People With Multiple Sclerosis Open
Background: Advanced imaging techniques such as diffusion and functional MRI can be used to identify pathology-related changes to the brain's structural and functional connectivity (SC and FC) networks and mapping of these changes to disab…
View article: Machine learning to investigate superficial white matter integrity in early multiple sclerosis
Machine learning to investigate superficial white matter integrity in early multiple sclerosis Open
Background and Purpose This study aims todetermine the sensitivity of superficial white matter (SWM) integrity as a metric to distinguish early multiple sclerosis (MS) patients from healthy controls (HC). Methods Fractional anisotropy and …
View article: Structural disconnectivity from paramagnetic rim lesions is related to disability in multiple sclerosis
Structural disconnectivity from paramagnetic rim lesions is related to disability in multiple sclerosis Open
Background In people with multiple sclerosis (pwMS), lesions with a hyperintense rim (rim+) on Quantitative Susceptibility Mapping (QSM) have been shown to have greater myelin damage compared to rim‐ lesions, but their association with dis…
View article: Lesion features on magnetic resonance imaging discriminate multiple sclerosis patients
Lesion features on magnetic resonance imaging discriminate multiple sclerosis patients Open
Background Magnetic resonance imaging (MRI) provides insight into various pathological processes in multiple sclerosis (MS) and may provide insight into patterns of damage among patients. Objective We sought to determine if MRI features ha…
View article: Author response for "Structural disconnectivity from paramagnetic rim lesions is related to disability in multiple sclerosis"
Author response for "Structural disconnectivity from paramagnetic rim lesions is related to disability in multiple sclerosis" Open
View article: Estimated connectivity networks outperform observed connectivity networks when classifying people with multiple sclerosis into disability groups
Estimated connectivity networks outperform observed connectivity networks when classifying people with multiple sclerosis into disability groups Open
Background Multiple Sclerosis (MS), a neurodegenerative and neuroinflammatory disease, causing lesions that disrupt the brain’s anatomical and physiological connectivity networks, resulting in cognitive, visual and/or motor disabilities. A…
View article: Estimated connectivity networks outperform observed connectivity networks when classifying people with multiple sclerosis into disability groups
Estimated connectivity networks outperform observed connectivity networks when classifying people with multiple sclerosis into disability groups Open
View article: Structural disconnectivity from quantitative susceptibility mapping rim+ lesions is related to disability in people with multiple sclerosis
Structural disconnectivity from quantitative susceptibility mapping rim+ lesions is related to disability in people with multiple sclerosis Open
Background Multiple Sclerosis (MS) is a disease characterized by inflammation, demyelination, and/or axonal loss that disrupts white matter pathways that constitute the brain’s structural connectivity network. Individual disease burden and…
View article: Structural and functional connectomes in people with multiple sclerosis
Structural and functional connectomes in people with multiple sclerosis Open
One of the challenges in multiple sclerosis is that lesion volume does not correlate with symptom severity. Advanced techniques such as diffusion and functional MRI allow imaging of the brain’s connectivity networks, which may provide bett…
View article: Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke
Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke Open
Background. Accurate prediction of clinical impairment in upper-extremity motor function following therapy in chronic stroke patients is a difficult task for clinicians but is key in prescribing appropriate therapeutic strategies. Machine …
View article: Supplementary_Material – Supplemental material for Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke
Supplementary_Material – Supplemental material for Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke Open
Supplemental material, Supplementary_Material for Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke by Ceren Tozlu, Dylan Edwards, Aaron Boes, Douglas Labar, K. Zoe Tsagaris, Joshua…
View article: Modeling individual disability evolution in multiple sclerosis patients based on longitudinal multimodal imaging and clinical data
Modeling individual disability evolution in multiple sclerosis patients based on longitudinal multimodal imaging and clinical data Open
Background The individual disease evolution of multiple sclerosis (MS) is very different from one patient to another. Therefore, the prediction of long-term disability evolution is difficult based on only clinical information. Magnetic res…
View article: Comparison of classification methods for tissue outcome after ischemic stroke
Comparison of classification methods for tissue outcome after ischemic stroke Open
In acute ischemic stroke, identifying brain tissue at high risk of infarction is important for clinical decision-making. This tissue may be identified with suitable classification methods from magnetic resonance imaging (MRI) data. The aim…