Biology subjects

Ellman, L. M.

Publications and source records attributed to Ellman, L. M..

7 recordsLinked to original sources

bioRxiv2026

Altered Dopamine-Linked Striatal Hemodynamic Latency in Early Psychosis

Key Points Question: Is striatal hemodynamic latency, a novel indirect correlate of dopamine physiology, altered in individuals with early psychosis? Findings: In this cross-sectional study of 105 individuals with early psychosis and 55 healthy comparison participants, early psychosis was associated with significantly lower striatal hemodynamic latency. Differences were observed in the dorsal striatum (caudate and putamen), whereas ventral striatal (nucleus accumbens) latency did not significantly differ between groups. Meaning: These findings support further evaluation of striatal hemodynamic latency as a noninvasive, indirect marker of dopamine-linked physiology in early psychosis. Abstract Importance: Psychosis is strongly associated with striatal dopamine dysfunction, but noninvasive measures that capture variation in dopamine remain limited. Hemodynamic latency, which quantifies the timing of low-frequency blood oxygen level-dependent (BOLD) fluctuations, may provide a way to indirectly probe dopamine dysfunction in psychosis. Objective: To determine whether striatal hemodynamic latency differs between individuals with early psychosis (EP) and healthy control (HC) participants and whether latency is associated with positive or negative symptom severity. Design: Cross-sectional analysis of resting-state functional magnetic resonance imaging (fMRI) data from the Human Connectome Project (HCP)-EP dataset. Setting: Multisite study at 4 sites using 3T Siemens Prisma MRI scanners. Participants: 105 individuals with EP and 55 HC participants with usable resting-state fMRI and hemodynamic latency data. Exposure: EP status. Main Outcomes and Measures: Voxel-wise hemodynamic latency was estimated using RapidTide and summarized within 6 striatal regions: nucleus accumbens core and shell, anterior and posterior caudate and putamen. Group differences were evaluated using linear mixed-effects models accounting for region and subject-level random effects and controlling for age, sex, and mean framewise displacement. Positive symptoms were measured using the Positive and Negative Syndrome Scale positive subscale; negative symptoms using the Clinical Assessment Interview for Negative Symptoms. Associations with symptoms were assessed using nested linear regressions within the EP group. Results: Latency was significantly lower in the dorsal than ventral striatum in HC and EP, with a greater difference in EP (b=-119.46 ms, SE=52.16, p=.022). Follow-up six-subregion models found significant main effects of group F(1,156.55)=7.79, p=.006, and region F(5,2760)=187.99; p< .001, but no group-by-region interaction F(5,2760)=1.74; p=.121. Region-specific contrasts showed lower latency in EP in the anterior caudate (p=.014), posterior caudate (p<.001), anterior putamen (p=.007), and posterior putamen (p=.029), but not NAc core or shell. Striatal latency was not significantly associated with positive or negative symptom severity among participants with EP. Conclusions and Relevance: EP was associated with broadly reduced striatal hemodynamic latency, with the strongest differences in the caudate and putamen. Altered striatal latency in psychosis warrants further evaluation as a noninvasive indirect marker of striatal pathophysiology linked to dopamine.

neuroscience↗

bioRxiv2026

Prenatal Maternal Inflammation Is Associated with Altered Offspring Mesolimbic White Matter Circuitry Observed in Late Midlife

BackgroundExposure to prenatal maternal inflammation (PNMI) has been linked to neurodevelopmental alterations in human offspring. Preclinical studies suggest that PNMI disrupts reward circuitry, particularly within mesolimbic circuits. However, the effects of PNMI on mesolimbic circuits (i.e, ventral tegmental area (VTA) projections to the hippocampus (VTA-H) and limbic striatum (VTA-LS)) in humans are not yet known. MethodsData for PNMI biomarkers [interleukin (IL)-6, IL-8, IL-1 receptor antagonist (IL-1ra), soluble TNF receptor-II (sTNF-RII)] from first trimester (T1) and second trimester (T2) maternal sera, and offspring MRI brain scans in late midlife (aged 57-63 years), were available for 89 mother-offspring dyads. Probabilistic tractography delineated bilateral VTA-H and VTA-LS tracts. Macrostructural tract measures were examined using hierarchical linear regressions. Microstructural integrity was assessed using neurite orientation dispersion and density imaging, and permutation-based cluster analyses. ResultsHigher T2 IL-1ra was associated with increased macrostructure (left VTA-H tract), whereas higher T2 sTNF-RII was associated with reduced macrostructure (right VTA-H and VTA-LS tracts) and higher T2 IL-8 (bilateral VTA-LS tracts). Microstructurally, higher T2 IL-6 was associated with increased neurite density (distal cluster, right VTA-H tract), while higher T1 IL-8 was associated with reduced neurite density (near the hippocampus in the left VTA-H tract, near the VTA in bilateral VTA-LS tracts). ConclusionsPNMI was associated with altered mesolimbic reward circuitry in offspring. This suggests that prenatal inflammation may contribute to affective and motivational disorders in offspring via alterations in mesolimbic circuitry.

neuroscience↗

bioRxiv2024

Synergistic Neural Circuits for Novelty and Goal-Directed Behavior

The ability to adapt to a dynamic world relies on detecting, learning, and responding to environmental changes. The detection of novelty serves as a critical indicator of such changes, priming mechanisms to detect and respond to goal-relevant information. However, neural regions that support novelty detection (hippocampus) and goal-directed behavior (dopaminergic midbrain [VTA] and prefrontal cortex [PFC]) have yet to be described as a sequential process that unfolds over time. Using a forward-prediction functional magnetic resonance imaging (fMRI) model, we explored interactions between the hippocampus, VTA, and PFC in humans performing a novelty-imbued target-detection task. Hippocampal novelty activation predicted subsequent VTA target activation, enhancing readiness to detect goal-relevant information. Concurrently, goal-directed PFC activation modulated VTA target activation, refining focus on behaviorally significant cues. These circuits function both synergistically and independently, promoting subsequent hippocampal activity during target trials. This work provides new insights into how distributed circuits coordinate to optimize adaptive behavior. Significance StatementSurviving in dynamic environments requires coordinated neural mechanisms to detect, learn from, and respond to change. However, neural regions that support novelty detection and goal-oriented behavior have yet to be described as a sequential process that unfolds over time. Using a novel forward-prediction functional magnetic resonance imaging (fMRI) model, we show that hippocampal activation during novelty predicts ventral tegmental area (VTA) readiness to process goal-relevant information. Concurrently, goal-directed prefrontal cortex activity modulates VTA responses, sharpening focus on behaviorally significant cues. Furthermore, these synergistic and independent circuits enhance hippocampal sensitivity for future adaptive responses, offering novel insights into integration of brain mechanisms critical for learning, motivation, and executive function.

neuroscience↗

bioRxiv2024

Decreased hippocampal neurite density in middle-aged/aging adults following prenatal exposure to higher levels of maternal inflammation

In animal models, exposure to heightened maternal inflammation in utero is associated with altered offspring hippocampal development, including reduced dendritic arborization and density. However, the effects of prenatal maternal inflammation (PNMI) on offspring hippocampal microstructure in humans remains unclear. Here, we examined the relationship between exposure to PNMI and neurite density in the hippocampus and its subfields among offspring during late middle age. Participants included 72 mother-offspring dyads from the Child Health and Development Studies (CHDS) cohort. Data for four inflammatory biomarkers (IL-6, IL-8, IL-1 receptor antagonist [IL-1RA], and soluble TNF receptor-II [sTNF-RII]) were available from first and second trimester maternal sera. Neurite density in the offspring hippocampus and its subfields was estimated using microstructural modeling of offsprings diffusion-weighted Magnetic Resonance Imaging data (mean age of offspring at imaging = 59 years; 51% male). We estimated the relationship between each biomarker and region-of-interests neurite density. Higher first trimester maternal IL-1RA and IL-6 levels were associated with lower offspring hippocampal neurite density. These relationships were specific to the CA3, CA4, dentate gyrus, and subiculum subfields. In addition, higher second trimester IL-6 was associated with lower subiculum neurite density. Our findings reveal that exposure to heightened prenatal levels of maternal inflammation is linked to altered offspring hippocampal microstructure in late middle age, which could have implications for memory decreases during this period and may be relevant for understanding risk of aging-related cognitive changes. Significance StatementThe contribution of prenatal maternal inflammation (PNMI) to offspring brain microstructure in later life is well established in animal models but poorly understood in humans. Our study discovered long-lasting impacts of elevated PNMI during early mid-gestation on the structural integrity of the hippocampus in offspring during late middle age. Our findings underscore the potential role of prenatal insults in aging-related neurological and cognitive decline, as the observed degradation in hippocampal microstructure is present over half a century following exposure.

immunology↗

bioRxiv2023

In Vivo Structural Connectivity of the Reward System Along the Hippocampal Long-Axis

Recent work has identified a critical role for the hippocampus in reward-sensitive behaviors, including motivated memory, reinforcement learning, and decision-making. Animal histology and human functional neuroimaging have shown that brain regions involved in reward processing and motivation are more interconnected with the ventral/anterior hippocampus. However, direct evidence examining gradients of structural connectivity between reward regions and the hippocampus in humans is lacking. The present study used diffusion MRI and probabilistic tractography to quantify the structural connectivity of the hippocampus with key reward processing regions in vivo. Using a large sample of subjects (N=628) from the human connectome dMRI data release, we found that connectivity profiles with the hippocampus varied widely between different regions of the reward circuit. While the dopaminergic midbrain (VTA) showed stronger connectivity with the anterior versus posterior hippocampus, the vmPFC showed stronger connectivity with the posterior hippocampus. The nucleus accumbens (NAc) showed a more homogeneous connectivity profile along the hippocampal long-axis. This is the first study to generate a probabilistic atlas of the hippocampal structural connectivity with reward-related networks, which is essential to investigating how these circuits contribute to normative adaptive behavior and maladaptive behaviors in psychiatric illness. These findings describe nuanced structural connectivity that sets the foundation to better understand how the hippocampus influences reward-guided behavior in humans.

neuroscience↗

bioRxiv2021

The Physiometrics of Inflammatory Proteins and Implications for Medical and Psychiatric Research: Investigation of Empirically-informed Inflammatory Composites

Most research testing the association between inflammation and health outcomes (e.g., heart disease, diabetes, depression) has focused on individual proteins; however, some studies have used summed composites of inflammatory markers without first investigating dimensionality. Using two different samples (MIDUS-2: N = 1,255 adults, MIDUS-R: N = 863 adults), this study investigates the dimensionality of eight inflammatory proteins (C-reactive protein (CRP), interleukin (IL)-6, IL-8, IL-10, tumor necrosis factor- (TNF-), fibrinogen, E-selectin, and intercellular adhesion molecule (ICAM)-1) and compared the resulting factor structure to a) an "a priori"/tau-equivalent factor structure in which all inflammatory proteins equally load onto a single dimension (comparable to the summed composites) and b) proteins modeled individually (i.e., no latent variable) in terms of model fit, replicability, reliability, and their associations with health outcomes. An exploratory factor analysis indicated a two-factor structure (Factor 1: CRP and fibrinogen; Factor 2: IL-8 and IL-10) in MIDUS-2 and was replicated in MIDUS-R. Results did not clearly indicate whether the empirically-identified factor structure or the individual proteins modeled without a latent variable had superior model fit, but both strongly outperformed the "a priori"/tau-equivalent structure (which did not achieve acceptable model fit in any models). Modeling the empirically-identified factors and individual proteins (without a latent factor) as outcomes of medical diagnoses resulted in comparable conclusions. However, modeling individual proteins resulted in findings more robust to correction for multiple comparisons despite more conservative adjustments. Further, reliability for all latent variables was poor. These results indicate that modeling inflammation as a unidimensional construct equally associated with all available proteins does not fit the data well. Instead, individual inflammatory proteins or, potentially (if empirically supported and biologically-plausible) empirically-identified inflammatory factors should be used in accordance with theory.

immunology↗

bioRxiv2021

Novelty-related engagement of VTA and anterior hippocampus propagate changes in cortical network plasticity at different scales

The detection of novelty indicates changes in the environment and the need to update existing representations. In response to novelty, interactions across the ventral tegmental area (VTA)-hippocampal circuit support experience-dependent plasticity in the hippocampus. While theories have broadly suggested plasticity-related changes are also instantiated in the cortex, research has also shown evidence for functional heterogeneity in cortical networks. It therefore remains unclear how the hippocampal-VTA circuit engages cortical networks, and whether novelty targets specific cortical regions or diffuse, large-scale cortical networks. To adjudicate the role of the VTA and hippocampus in cortical network plasticity, we used human functional magnetic resonance imaging (fMRI) to compare resting state functional coupling before and following exposure to novel scene images. Functional coupling between right anterior hippocampus and VTA was enhanced following novelty exposure. However, we also found evidence for a double dissociation, with anterior hippocampus and VTA showing distinct patterns of post-novelty functional coupling enhancements, targeting task-relevant regions versus large-scale networks, respectively. Further, significant correlations between these networks and the novelty-related plasticity in the anterior hippocampal-VTA functional network suggest the central hippocampal-VTA network may facilitate the interactions with the cortex. These findings support an extended model of novelty-induced plasticity, in which novelty elicits plasticity-related changes in both local and global cortical networks. Significance StatementNovelty detection is critical for adaptive behavior, signaling the need to update existing representations. By engaging the bi-directional hippocampal-VTA circuit, novelty has been shown to induce plasticity-related changes in the hippocampus. However, it remains an open question how novelty targets such plasticity-related changes in cortical networks. We show that anterior hippocampus and VTA target cortical networks at different spatial scales, with respective enhancements in post-novelty functional coupling with a task-relevant cortical region and a large-scale memory network. The results presented here support an extended model of novelty-related plasticity, in which engaging the anterior hippocampal-VTA circuit through novelty exposure propagates cortical plasticity through hippocampal and VTA functional pathways at distinct scales, targeting specific or diffuse cortical networks.

neuroscience↗