Publications by authors named "Martin P Paulus"

The ventromedial prefrontal cortex (VMPFC), located along the medial aspect of the frontal area, plays a critical role in regulating arousal/emotions. Its intricate connections with subcortical structures, including the striatum and amygdala, highlight the VMPFC's importance in the neurocircuitry of addiction. Due to these features, the VMPFC is considered a promising target for transcranial magnetic stimulation (TMS) in substance use disorders (SUD).

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A resilience-based approach in American Indian (AI) communities focuses on inherent sociocultural assets that may act as protective resilience buffers linked to mitigated mental health risks (e.g., deep-rooted spiritual, robust social support networks).

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Article Synopsis
  • * Dysfunction in interoceptive processing contributes to craving, emotional regulation issues, and decision-making challenges that drive addiction, with areas like the insula being significant in drug use, particularly nicotine.
  • * The chapter employs a predictive coding framework to explain how disruptions in the brain's predictions of internal states can lead to compulsive drug-seeking behaviors, suggesting that targeted therapies like neuromodulation and mindfulness can help recalibrate these internal predictions for better treatment outcomes.
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Depression and anxiety are common, highly co-morbid conditions associated with a range of learning and decision-making deficits. While the computational mechanisms underlying these deficits have received growing attention, the transdiagnostic vs. diagnosis-specific nature of these mechanisms remains insufficiently characterized.

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The integration of Large Language Models (LLMs) into mental healthcare and research heralds a potentially transformative shift, one offering enhanced access to care, efficient data collection, and innovative therapeutic tools. This paper reviews the development, function, and burgeoning use of LLMs in psychiatry, highlighting their potential to enhance mental healthcare through improved diagnostic accuracy, personalized care, and streamlined administrative processes. It is also acknowledged that LLMs introduce challenges related to computational demands, potential for misinterpretation, and ethical concerns, necessitating the development of pragmatic frameworks to ensure their safe deployment.

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The understanding and treatment of psychiatric disorders present unique challenges due to these conditions' multifaceted nature, comprising dynamic interactions between biological, psychological, social, and environmental factors. Traditional reductionistic approaches often simplify these conditions into linear cause-and-effect relationships, overlooking the complexity and interconnectedness inherent in psychiatric disorders. Advances in complex systems approaches provide a comprehensive framework to capture and quantify the non-linear and emergent properties of psychiatric disorders.

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Background: Mindfulness training has been shown to promote positive mental health outcomes and related changes in neural networks such as the default mode network, which has a central node in the posterior cingulate cortex (PCC). Previous work from our group reported on the impact of a novel, neurofeedback augmented mindfulness training (NAMT) task on regulation of PCC hemodynamic activity in typically developing adolescents. The present pilot study aimed to expand on this finding by examining the pre-post changes of the NAMT task on resting-state functional connectivity of the PCC.

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Background: Repetitive negative thinking (RNT) in major depressive disorder (MDD) involves persistent focus on negative self-related experiences. Resting-state fMRI shows that the functional connectivity (FC) between the insula and the superior temporal sulcus is critical to RNT intensity. This study examines how insular FC patterns differ between resting-state and RNT-induction in MDD and healthy participants (HC).

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The socioeconomic costs of neurodegenerative diseases (NDs) are highly affected by comorbidities. This study aims to enhance our understanding of the prevalent complications of NDs through the lens of network analysis. A multimorbidity network (MN) was constructed based on a longitudinal EHR dataset of 93,647,498 diagnoses of 824,847 patients.

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Article Synopsis
  • The study looked at how people with Major Depressive Disorder (MDD) who think negatively a lot (called repetitive negative thinking or RNT) process mistakes in their brains.
  • They used a special method to measure brain activity while people tried to stop themselves from making errors.
  • Results showed that those with high RNT and no anxiety didn't respond well to mistakes, while those with anxiety managed to process errors better, suggesting that anxiety might help with recognizing mistakes.
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  • More and more women are going to prison in the US, with many there for drug-related crimes, and programs to help them get treatment can be helpful.
  • Researchers used a machine learning technique to find out what factors might help predict whether these women would finish their treatment programs.
  • Although the models didn't perfectly predict success, they found that things like impulsive behavior and history of trauma were important in understanding who might complete the program.
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As a neurobiological process, addiction involves pathological patterns of engagement with substances and a range of behaviors with a chronic and relapsing course. Neuroimaging technologies assess brain activity, structure, physiology, and metabolism at scales ranging from neurotransmitter receptors to large-scale brain networks, providing unique windows into the core neural processes implicated in substance use disorders. Identified aberrations in the neural substrates of reward and salience processing, response inhibition, interoception, and executive functions with neuroimaging can inform the development of pharmacological, neuromodulatory, and psychotherapeutic interventions to modulate the disordered neurobiology.

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Neuroimaging plays a crucial role in understanding brain structure and function, but the lack of transparency, reproducibility, and reliability of findings is a significant obstacle for the field. To address these challenges, there are ongoing efforts to develop reporting checklists for neuroimaging studies to improve the reporting of fundamental aspects of study design and execution. In this review, we first define what we mean by a neuroimaging reporting checklist and then discuss how a reporting checklist can be developed and implemented.

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  • Real-time fMRI neurofeedback (rtfMRI-NF) shows promise as a treatment for psychiatric disorders, but its effectiveness and underlying mechanisms are still not fully understood.
  • A study involving 43 depressed individuals found that those receiving active neurofeedback training had a significant reduction in brooding rumination compared to a sham group, indicating the potential benefits of rtfMRI-NF.
  • The study highlights that the interaction between brain activity during regulation and responses to feedback is crucial for treatment outcomes, suggesting a need to consider the entire brain's connectivity to better understand and utilize rtfMRI-NF in therapy.
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  • Research highlights a critical gap in understanding long COVID (PASC) in children and emphasizes the need for studies that define its characteristics in this age group.
  • The objective is to identify common prolonged symptoms in children aged 6 to 17 post-SARS-CoV-2 infection, examining differences between school-age kids and adolescents, as well as potential symptom clusters for future research.
  • A multicenter study involved nearly 5,000 participants, revealing that certain symptoms were significantly more prevalent in those with a history of COVID-19 compared to those without.
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  • * Using functional imaging, the research found that AnxMDD participants showed significantly greater brain activation in key areas related to fear processing when exposed to threatening stimuli compared to those with MDD alone.
  • * The findings imply that comorbid anxiety may influence fear-related brain responses, pinpointing areas for potential treatment strategies in individuals who suffer from both depression and anxiety, which are often more challenging to treat.
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A subset of major depressive disorder (MDD) is characterized by immune system dysfunction, but the intracellular origin of these immune changes remains unclear. Here we tested the hypothesis that abnormalities in endoplasmic reticulum (ER) stress, inflammasome activity and mitochondrial biogenesis contribute to the development of systemic inflammation in MDD. RT-qPCR was used to measure mRNA expression of key organellar genes from peripheral blood mononuclear cells (PBMCs) isolated from 186 MDD and 67 healthy control (HC) subjects.

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Background: Posttraumatic stress disorder (PTSD) is characterized not only by its direct association with traumatic events but also by a potential deficit in inhibitory control across emotional, cognitive, and sensorimotor domains. Recent research has shown that a continuous sensorimotor feedback control task, the rapid assessment of motor processing paradigm, can yield reliable measures of individual sensorimotor control performance. This study used this paradigm to investigate control deficits in PTSD compared with both a healthy volunteer group and a non-PTSD psychiatric comparison group.

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  • People with major depressive disorder (MDD) might not be good at getting excited about rewards, which this study wanted to check by looking at their brain activity when they were waiting for a reward.
  • The researchers found that individuals with MDD reacted slower and showed less brain activity (measured by SPN) when they were anticipating a reward compared to those without depression or with both depression and anxiety.
  • They think that how the brain gets ready for rewards might be different in people with MDD, which could help understand more about depression and how it affects people differently.
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  • Treatment-resistant depression (TRD) is a complex mental health issue that affects many individuals and poses significant social and economic challenges, which remain poorly understood in terms of its causes.
  • The study aimed to identify genetic factors linked to TRD by using polygenic scores (PGS) derived from large genomic data involving over 292,000 participants in the All of Us Research Program.
  • Key findings revealed that certain PGS related to traits like insomnia and neuroticism increased TRD risk, while higher education and intelligence were associated with lower risk, with these patterns being consistent across multiple data sets within the study.
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Current theories suggest individuals with methamphetamine use disorder (iMUDs) have difficulty considering long-term outcomes in decision-making, which could contribute to risk of relapse. Aversive interoceptive states (e.g.

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Major depressive disorder (MDD) is a heterogeneous clinical syndrome with widespread subtle neuroanatomical correlates. Our objective was to identify the neuroanatomical dimensions that characterize MDD and predict treatment response to selective serotonin reuptake inhibitor (SSRI) antidepressants or placebo. In the COORDINATE-MDD consortium, raw MRI data were shared from international samples ( = 1,384) of medication-free individuals with first-episode and recurrent MDD ( = 685) in a current depressive episode of at least moderate severity, but not treatment-resistant depression, as well as healthy controls ( = 699).

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  • This study looked at how anxiety affects people's ability to make choices, especially those with mental health issues like depression and anxiety.
  • Researchers tested how breathing exercises that make someone feel anxious impacted decision-making in people who usually have high anxiety levels.
  • They found that while people with anxiety usually try to seek more information, this desire decreased when they felt anxious, leading to slower learning and worse choices.
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Background: Reduced Environmental Stimulation Therapy (REST) is a behavioral intervention that systematically attenuates external sensory input to the nervous system. Previous studies have demonstrated acute anxiolytic and antidepressant effects of single sessions of REST in anxious individuals, however the duration and time course of these effects is unknown. In the current study, we used experience sampling and multiple sessions of REST to explore the time course of the anxiolytic and antidepressant effects over a 48-hour time period.

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Background: Reduced Environmental Stimulation Therapy via floatation (floatation-REST) is a behavioral intervention designed to attenuate exteroceptive sensory input to the nervous system. Prior studies in anxious and depressed individuals demonstrated that single sessions of floatation-REST are safe, well-tolerated, and associated with an acute anxiolytic and antidepressant effect that persists for over 48 hours. However, the feasibility of using floatation-REST as a repeated intervention in anxious and depressed populations has not been well-investigated.

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