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Patients with posttraumatic stress disorder (PTSD) exhibit smaller regional brain volumes in commonly reported regions including the amygdala and hippocampus, regions associated with fear and memory processing. In the current study, we have conducted a voxel-based morphometry (VBM) meta-analysis using whole-brain statistical maps with neuroimaging data from the ENIGMA-PGC PTSD working group.
Methods
T1-weighted structural neuroimaging scans from 36 cohorts (PTSD n = 1309; controls n = 2198) were processed using a standardized VBM pipeline (ENIGMA-VBM tool). We meta-analyzed the resulting statistical maps for voxel-wise differences in gray matter (GM) and white matter (WM) volumes between PTSD patients and controls, performed subgroup analyses considering the trauma exposure of the controls, and examined associations between regional brain volumes and clinical variables including PTSD (CAPS-4/5, PCL-5) and depression severity (BDI-II, PHQ-9).
Results
PTSD patients exhibited smaller GM volumes across the frontal and temporal lobes, and cerebellum, with the most significant effect in the left cerebellum (Hedges’ g = 0.22, pcorrected = .001), and smaller cerebellar WM volume (peak Hedges’ g = 0.14, pcorrected = .008). We observed similar regional differences when comparing patients to trauma-exposed controls, suggesting these structural abnormalities may be specific to PTSD. Regression analyses revealed PTSD severity was negatively associated with GM volumes within the cerebellum (pcorrected = .003), while depression severity was negatively associated with GM volumes within the cerebellum and superior frontal gyrus in patients (pcorrected = .001).
Conclusions
PTSD patients exhibited widespread, regional differences in brain volumes where greater regional deficits appeared to reflect more severe symptoms. Our findings add to the growing literature implicating the cerebellum in PTSD psychopathology.
Multicenter clinical trials are essential for evaluating interventions but often face significant challenges in study design, site coordination, participant recruitment, and regulatory compliance. To address these issues, the National Institutes of Health’s National Center for Advancing Translational Sciences established the Trial Innovation Network (TIN). The TIN offers a scientific consultation process, providing access to clinical trial and disease experts who provide input and recommendations throughout the trial’s duration, at no cost to investigators. This approach aims to improve trial design, accelerate implementation, foster interdisciplinary teamwork, and spur innovations that enhance multicenter trial quality and efficiency. The TIN leverages resources of the Clinical and Translational Science Awards (CTSA) program, complementing local capabilities at the investigator’s institution. The Initial Consultation process focuses on the study’s scientific premise, design, site development, recruitment and retention strategies, funding feasibility, and other support areas. As of 6/1/2024, the TIN has provided 431 Initial Consultations to increase efficiency and accelerate trial implementation by delivering customized support and tailored recommendations. Across a range of clinical trials, the TIN has developed standardized, streamlined, and adaptable processes. We describe these processes, provide operational metrics, and include a set of lessons learned for consideration by other trial support and innovation networks.
Recent changes to US research funding are having far-reaching consequences that imperil the integrity of science and the provision of care to vulnerable populations. Resisting these changes, the BJPsych Portfolio reaffirms its commitment to publishing mental science and advancing psychiatric knowledge that improves the mental health of one and all.
Posttraumatic stress disorder (PTSD) has been associated with advanced epigenetic age cross-sectionally, but the association between these variables over time is unclear. This study conducted meta-analyses to test whether new-onset PTSD diagnosis and changes in PTSD symptom severity over time were associated with changes in two metrics of epigenetic aging over two time points.
Methods
We conducted meta-analyses of the association between change in PTSD diagnosis and symptom severity and change in epigenetic age acceleration/deceleration (age-adjusted DNA methylation age residuals as per the Horvath and GrimAge metrics) using data from 7 military and civilian cohorts participating in the Psychiatric Genomics Consortium PTSD Epigenetics Workgroup (total N = 1,367).
Results
Meta-analysis revealed that the interaction between Time 1 (T1) Horvath age residuals and new-onset PTSD over time was significantly associated with Horvath age residuals at T2 (meta β = 0.16, meta p = 0.02, p-adj = 0.03). The interaction between T1 Horvath age residuals and changes in PTSD symptom severity over time was significantly related to Horvath age residuals at T2 (meta β = 0.24, meta p = 0.05). No associations were observed for GrimAge residuals.
Conclusions
Results indicated that individuals who developed new-onset PTSD or showed increased PTSD symptom severity over time evidenced greater epigenetic age acceleration at follow-up than would be expected based on baseline age acceleration. This suggests that PTSD may accelerate biological aging over time and highlights the need for intervention studies to determine if PTSD treatment has a beneficial effect on the aging methylome.
Objectives/Goals: This study tests how fiber microstructural integrity and myelination levels within the cingulum connectome are associated with information processing speed (IPS) in relapsing-remitting multiple sclerosis (RRMS). We investigate the functional impact of structural coherence, myelin content, and white matter hyperintensities (WMH) load on IPS. Methods/Study Population: Data from 63 RRMS and 25 healthy controls (HC) were used. We hypothesize that the structural integrity of the cingulum bundle and its structural network – or connectome – is distinctly associated with IPS function in people with RRMS (vs. HC) due to myelin-related plasticity across the wiring. Using diffusion spectrum imaging and high-resolution tract segmentation, we constructed individualized white matter connectomes. Diffusion quantitative anisotropy (QA) and myelin fractions (MWF) were used to quantify structural coherence and myelination. WMH load was measured with T2-FLAIR imaging. Bayesian–Pearson correlations, mixed-linear, and moderation models explored how fiber-specific QA, MWF, and WMH load relate to IPS function in RRMS, as measured by Symbol Digit Modalities Test (SDMT). Results/Anticipated Results: We theorize that (1) QA in the cingulum connectome correlates with SDMT performance dimensionally, indicating that structural coherence in the white matter supports IPS function among both groups; (2) increased myelination will strengthen the positive association between QA and SDMT scores, suggesting that connectome-specific myelin content facilitates IPS; (3) conversely, WMH load within the cingulum connectome is expected to inversely correlate with SDMT scores, reflecting the detrimental impact of lesion burden on IPS function; (4) myelination in specialized tracts within the cingulum connectome play a compensatory role to support IPS function in the RRMS group. These investigations can offer a mechanistic clue to potential neuroplastic targets for cognitive interventions in MS. Discussion/Significance of Impact: By linking white matter integrity to cognitive function at the connectome level, this study can support neuroregenerative strategies to mitigate cognitive burden in RRMS. Our findings may advance understanding of how structural coherence, tract myelination, and WMH affect IPS, shaping personalized prognostic and therapeutic interventions.
Objectives/Goals: Early childhood obesity is a major concern for Latin American children in the U.S., with gut barrier dysfunction as a key risk factor. Diet plays a role in gut development, but few studies have focused on Latin American infants. Our objective is to identify culturally relevant introductory foods that promote in vitro gut barrier development and function. Methods/Study Population: Pooled human milk (2.5 mL) from 6-month postpartum Hispanic mothers was combined with fruit and vegetable baby food products (2.5 g) and subjected to a 3-phase in vitro digestion system that simulates oral, gastric, and intestinal digestion. Digesta products were then anaerobically fermented for 24-hours using human stool inoculum, centrifuged, and filter sterilized. Intestinal epithelial cells (Caco-2, ATCC) were grown to confluence on 0.4 μm polystyrene transwell inserts using a DMEM + 10% FBS medium and allowed to differentiate for 21-days. Highly differentiated monolayers were treated with a 1:4 dilution of fermenta with medium in triplicate. The cell experiment was conducted twice. Cell layer integrity was measured using transepithelial electrical resistance (TEER) 24- and 48-hours after treatment. Results/Anticipated Results: Dietary intake data from the What We Eat in America database indicated that the top 3 fruit and vegetable exposures for infants with Mexican or Hispanic ethnicity were banana, apple, and carrot. Commercial baby food purees of these fruits and vegetables, in addition to baby foods with blueberry and spinach (Natural for Baby, Gerber Products Company) were acquired for digestion and fermentation experiments. Caco-2 cell experiments with these foods are ongoing. We expect Caco-2 monolayer incubated with fermenta from human milk and fruit or vegetables will have greater TEER values due to increased integrity of the cell layer as compared to those with breast milk alone. We also expect that exposure to fruit and vegetable fermenta will increase gene expression of tight junctions compared to exposure to media and human milk. Discussion/Significance of Impact: Using an in vitro digestion and fermentation system coupled with cell culture studies, we are identifying cellular mechanisms that link individual fruits and vegetables to gut barrier function. This will support translational work focused on mitigating obesity development in vulnerable populations.
The addiction syndrome is quite similar across different addictive drug types, reflecting a shared pathway of pathological changes within motivational circuits that increasingly prioritize drug acquisition and use. This neurobiology, and drug addiction symptomatology, overlaps considerably with behavioral addictions (e.g., gambling disorder). However, addiction is distinct from symptoms and mechanisms underpinning intoxication and withdrawal, which are diverse and unique to each drug class. The intoxication phase is followed by some degree of withdrawal, manifesting clinically as opposite to intoxication, reflecting a homeostatic response to it. Withdrawal has a quality, duration, and dangerousness that depends on the individual, the drug type, and drug use history. Heavy/chronic patterns of use in addiction can produce longer, more severe withdrawal phases, but addiction and withdrawal can exist separately. How a drug acts upon different receptors and other downstream brain systems (pharmacodynamics) impacts the strength of its psychoactive (intoxicating) and motivational (addictive effects). Meanwhile, the route and rate of drug intake and its breakdown and elimination (pharmacokinetics) can also impact intoxication, withdrawal, and addiction risk. With addiction, the patient becomes tolerant (insensitive) to the intoxicating profiles of drugs they like, whereas their motivation, craving, and wanting to use the drug sensitizes (grows pathologically).
Addiction is a chronic-progressive disease marked by phases of relapse and recovery. Patients with moderate to severe addictions typically have mental illness of some form (they are dual-diagnosis patients) reflecting how mental illness and addiction are biologically and bidirectionally causally interlinked. Addiction psychiatrists are formally cross-trained in the diagnosis and treatment of both addiction and mental illness. They conduct diagnostic workups that fully embrace complex addiction–mental illness comorbidities while longitudinally tracking illness evolution and recovery trajectories. As implemented in the 2 × 4 model blueprint of integrated addiction psychiatry care, repeated diagnostic evaluations guide individualized treatment planning that attends to patient’s stages of change while integrating psychotherapeutic, experiential, medication, and/or neuromodulator treatments. Multiple mental illness and addiction subtypes are simultaneously or sequentially targeted over the course of detoxification-withdrawal treatments, harm reduction, and full remission strategies. The advancing frontier of addiction psychiatry will involve the growth of inpatient and outpatient teams composed of addiction psychiatrists, nurses, and therapists that reject fragmented/siloed/split-care models that segregate addiction from mental illness treatment and professional training. Addiction psychiatry teams will be important for researching new integrative treatments in full recognition of addiction and mental illness as highly neurobiologically interconnected and clinically interrelated brain diseases.
Addiction is a highly prevalent brain disease. It is a major cause of many secondary forms of medical illness and accidents, and it is a leading root cause of death. The disease attacks the circuits of the brain that govern motivational learning and control. It is defined by increasingly compulsive drug seeking and use, despite the accumulation of negative medical, social, and psychiatric consequences. Because the disease also impacts brain systems governing the exercise of free-will, decision-making, and insight, it is often judged, criminalized, and stigmatized, which are countertherapeutic social responses to the disease. Addiction psychiatry is a field of psychiatry that is uniquely trained to treat the entire spectrum of addictions and mental illness, especially for mainstream dual-diagnosis patients who suffer with combinations of these disorders. The epidemiology of addiction shows that the disease is not evenly distributed in the population. Rather, it tends to concentrate in people with genetic, developmental, and environmental risk factors, many of which overlap with those that also produce mental illness. Advances and growth in addiction psychiatry training, research, and clinical care hold tremendous potential for ending mass incarceration and rendering the healthcare system more efficacious and cost-effective.
As with other diseases, vulnerability to addiction is not evenly distributed in the population. It is concentrated in people that bear higher concentrations of biologically active risk factors. Addiction vulnerability is associated with earlier age of substance use, multiple concurrent addictions, and mental illness. It is determined by complex interactions between many hundreds of genes, and a wide range of environmental–developmental experiences – all of which are biologically active in shaping motivational-behavioral repertoires and cortical–striatal–limbic networks anchored on the NAC. Understanding the developmental neurocircuitry of addiction and its linkage with mental illness informs our understanding of this disease vulnerability. All major forms of mental illness, spanning schizophrenia, bipolar disorder, depression, trauma-spectrum disorders, personality disorders, impulse controls disorders, etc., involve anatomical–functional abnormalities that overlap and interlink with primary motivational circuits involved in addiction. The neurocircuitry of mental illness, involving disrupted inputs from PFC, AMY, HCF, into the NAC, involuntarily alters NAC network responsivity to addictive drugs, allowing their pathological neuroplastic effects to produce more robust and accelerated sensitization of drug-motivated behavior. Similarly, adolescent neurodevelopment is a biological context marked by profound change of motivational-behavioral repertoires – and neural network revision within cortical–striatal–limbic circuits – that increases brain susceptibility to addiction.
The front door to addiction pathophysiology is through the nucleus accumbens (NAC) (aka, ventral striatum) – the brain’s primary neural network for representing, storing, and modifying motivational information. NAC motivational codes are informed and altered by converging axonal inputs from prefrontal cortex (PFC), hippocampal formation (HCF), and amygdala (AMY) that import cognitive and emotional information carried by glutamate (GLU) neurotransmission. Relaying motivational codes from NAC into the caudate-putamen (CA-PU; aka, dorsal striatum) influences the prioritization, sequencing, automaticity, and execution of complex, goal-directed motor programs. Four classes of stimuli increase dopamine (DA) neurotransmitter release into the NAC – events that are (1) rewarding, (2) unexpected, (3) stressful/painful, and (4) addictive drugs. The three classes of natural salient events promote DA discharge into the NAC to optimize flow of motivational information while operating as a learning signal for the creation and modification of new motivational codes and motor program sequences. In addiction pathogenesis, repeated drug delivery exploits the DA learning signal, causing abnormal changes in neuronal DNA expression, phenotypes, and axodendritic connections within the NAC network. This change in connectivity alters motivational codes managed and stored by the NAC network, so that motivated behavior driving drug use is involuntarily prioritized over other healthy motivations.
This essential, concept-oriented book provides a highly integrative and translational approach to addiction, offering a deep understanding of the condition and its close biological-causal-developmental linkage with mental illness. The book explains addiction around five fundamental components that define disease: 1) Population Impact; 2) Symptom Sets; 3) Disorder of Anatomical Structure and Function; 4) Biological Risk Amplification; and 5) Diagnosis and Treatment. Key evidence and concepts from basic neuroscience are translated to epidemiological, clinical-observational, and treatment levels. The book discusses the broad reach and potent clinical capabilities of addiction psychiatry teams using integrative diagnostics and multi-dimensional treatment plans for patients across the entire addiction-mental illness spectrum. It introduces science-based psychotherapies, therapeutic experiences, medication and neurostimulatory treatments used by addiction psychiatrists in different settings to advance patients through all stages of recovery. An illustrated foundation for advanced undergraduates, physicians, allied clinicians, and scientists entering brain-behavioural health fields.
Starting in late September 1872, horses started falling ill with a severe respiratory complaint in the countryside about a dozen miles north of Toronto, Ontario. Veterinary experts swiftly diagnosed the malady, which paralyzed street transportation, commerce, and everyday life in Toronto itself during the first weeks of October, as influenza. Over the next year, an equine plague that most contemporaries referred to as the epizootic—and which I call the Great Horse Flu in the book I am completing on this outbreak—spread throughout southern Canada, every reach of the United States, and parts of Cuba, Mexico, and Central America. The novel influenza virus responsible for this outbreak sickened between ninety and ninety-nine percent of horses, donkeys, and mules across this vast swath of the northern Americas.1 Our best guess is that the Great Horse Flu killed between one and four percent of the equines it afflicted—a case fatality rate roughly not unlike those recorded by the Great Influenza Pandemic of 1918–1920 and the COVID Pandemic. In less than a year, an estimated 112,500 to 554,000 horses and ponies perished alongside tens or hundreds of thousands of mules and donkeys.2