Keith Jamison
YOU?
Author Swipe
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: 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: Krakencoder: a unified brain connectome translation and fusion tool
Krakencoder: a unified brain connectome translation and fusion tool Open
View article: Longitudinal multimodal neuroimaging after traumatic brain injury
Longitudinal multimodal neuroimaging after traumatic brain injury Open
Traumatic brain injury is a major cause of long-term cognitive impairment, yet the mechanisms underlying recovery remain poorly understood. Neuroimaging methods such as diffusion MRI, functional MRI, and positron emission tomography (PET) …
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: 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: Brain Activity Dynamics after Traumatic Brain Injury Indicate Increased State Transition Energy and Preference of Lower Order States
Brain Activity Dynamics after Traumatic Brain Injury Indicate Increased State Transition Energy and Preference of Lower Order States Open
View article: Coupling of Event-Related Potential and Pupil Dilation as a Compensatory Marker of Executive Attention in Traumatic Brain Injury
Coupling of Event-Related Potential and Pupil Dilation as a Compensatory Marker of Executive Attention in Traumatic Brain Injury Open
Traumatic brain injury (TBI) impairs attention and executive function, often through disrupted coordination between cognitive and autonomic systems. While electroencephalography (EEG) and pupillometry are widely used to assess neural and a…
View article: Brain activity dynamics after traumatic brain injury indicate increased state transition energy and preference of lower order states
Brain activity dynamics after traumatic brain injury indicate increased state transition energy and preference of lower order states Open
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: Contributions of network structure, chemoarchitecture and diagnostic categories to transitions between cognitive topographies
Contributions of network structure, chemoarchitecture and diagnostic categories to transitions between cognitive topographies Open
The mechanisms linking the brain’s network structure to cognitively relevant activation patterns remain largely unknown. Here, by leveraging principles of network control, we show how the architecture of the human connectome shapes transit…
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: Predicting Language Function Post-Stroke: A Model-Based Structural Connectivity Approach
Predicting Language Function Post-Stroke: A Model-Based Structural Connectivity Approach Open
Background The prediction of post-stroke language function is essential for the development of individualized treatment plans based on the personal recovery potential of aphasic stroke patients. Objective To establish a framework for integ…
View article: Diffusion Tensor Imaging Along Perivascular Spaces (DTI-ALPS) to Assess Effects of Age, Sex, and Head Size on Interstitial Fluid Dynamics in Healthy Subjects
Diffusion Tensor Imaging Along Perivascular Spaces (DTI-ALPS) to Assess Effects of Age, Sex, and Head Size on Interstitial Fluid Dynamics in Healthy Subjects Open
Diffusion tensor imaging along perivascular spaces (DTI-ALPS) is a novel MRI method for assessing brain interstitial fluid dynamics, potentially indexing glymphatic function. Failed glymphatic clearance is implicated in Alzheimer’s disease…
View article: Data-driven biomarkers better associate with stroke motor outcomes than theory-based biomarkers
Data-driven biomarkers better associate with stroke motor outcomes than theory-based biomarkers Open
Chronic motor impairments are a leading cause of disability after stroke. Previous studies have associated motor outcomes with the degree of damage to predefined structures in the motor system, such as the corticospinal tract. However, suc…
View article: Altered structural connectivity and functional brain dynamics in individuals with heavy alcohol use
Altered structural connectivity and functional brain dynamics in individuals with heavy alcohol use Open
Heavy alcohol use and its associated conditions, such as alcohol use disorder (AUD), impact millions of individuals worldwide. While our understanding of the neurobiological correlates of AUD has evolved substantially, we still lack models…
View article: Human brain responses are modulated when exposed to optimized natural images or synthetically generated images
Human brain responses are modulated when exposed to optimized natural images or synthetically generated images Open
View article: Data-driven biomarkers outperform theory-based biomarkers in predicting stroke motor outcomes
Data-driven biomarkers outperform theory-based biomarkers in predicting stroke motor outcomes Open
Chronic motor impairments are a leading cause of disability after stroke. Previous studies have predicted motor outcomes based on the degree of damage to predefined structures in the motor system, such as the corticospinal tract. However, …
View article: Comparisons of electrophysiological markers of impaired executive attention after traumatic brain injury and in healthy aging
Comparisons of electrophysiological markers of impaired executive attention after traumatic brain injury and in healthy aging Open
Executive attention impairments are a persistent and debilitating consequence of traumatic brain injury (TBI). To make headway towards treating and predicting outcomes following heterogeneous TBI, cognitive impairment specific pathophysiol…
View article: Graph‐matching distance between individuals' functional connectomes varies with relatedness, age, and cognitive score
Graph‐matching distance between individuals' functional connectomes varies with relatedness, age, and cognitive score Open
Functional connectomes (FCs), represented by networks or graphs that summarize coactivation patterns between pairs of brain regions, have been related at a population level to age, sex, cognitive/behavioral scores, life experience, genetic…
View article: Association Between the Attention Network Test, Neuropsychological Measures, and Disability in Post-Acute Traumatic Brain Injury
Association Between the Attention Network Test, Neuropsychological Measures, and Disability in Post-Acute Traumatic Brain Injury Open
Cognitive impairment after traumatic brain injury (TBI) is persistent and disabling. Assessing cognitive function in a reliable and valid manner, using measures that are sensitive to the integrity of underlying neural substrates, is crucia…
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: The sequence of regional structural disconnectivity due to multiple sclerosis lesions
The sequence of regional structural disconnectivity due to multiple sclerosis lesions Open
Prediction of disease progression is challenging in multiple sclerosis as the sequence of lesion development and retention of inflammation within a subset of chronic lesions is heterogeneous among patients. We investigated the sequence of …
View article: Glymphatic clearance estimated using diffusion tensor imaging along perivascular spaces is reduced after traumatic brain injury and correlates with plasma neurofilament light, a biomarker of injury severity
Glymphatic clearance estimated using diffusion tensor imaging along perivascular spaces is reduced after traumatic brain injury and correlates with plasma neurofilament light, a biomarker of injury severity Open
The glymphatic system is a perivascular fluid clearance system, most active during sleep, considered important for clearing the brain of waste products and toxins. Glymphatic failure is hypothesized to underlie brain protein deposition in …
View article: Personalized visual encoding model construction with small data
Personalized visual encoding model construction with small data Open
Quantifying population heterogeneity in brain stimuli-response mapping may allow insight into variability in bottom-up neural systems that can in turn be related to individual’s behavior or pathological state. Encoding models that predict …
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
Quantifying the relationship between the brain’s functional activity patterns and its structural backbone is crucial when relating the severity of brain pathology to disability in multiple sclerosis (MS). Network control theory (NCT) chara…
View article: Reduced glymphatic function after traumatic brain injury measured using diffusion MRI
Reduced glymphatic function after traumatic brain injury measured using diffusion MRI Open
The glymphatic system is a perivascular fluid clearance system, most active during sleep, considered important for clearing the brain of waste products and toxins. Glymphatic failure is hypothesized to underlie brain protein deposition in …
View article: A graph-matching based metric of functional connectome distance between pairs of individuals varies with their ages, cognitive performances and familial relationships
A graph-matching based metric of functional connectome distance between pairs of individuals varies with their ages, cognitive performances and familial relationships Open
Functional connectomes (FCs), represented by networks or graphs that summarize coactivation patterns between pairs of brain regions, have been related at a population level to age, sex, cognitive/behavioral scores, life experience, genetic…