NPP-digital psychiatry and neuroscience最新文献

{"title":"Mobile EEG examination of putative biomarkers of mental health in individuals that use cannabis.","authors":"Conor H Murray, Kaihan Danesh, Ziva D Cooper","doi":"10.1038/s44277-025-00039-8","DOIUrl":"10.1038/s44277-025-00039-8","url":null,"abstract":"<p><p>Healthy individuals that use cannabis are at greater risk of developing mental health conditions than those that do not use cannabis. Here, using mobile electroencephalography (EEG) in controlled laboratory settings, we examined two putative biomarkers of mental health across two studies of people who use cannabis (N = 100, 50% male; N = 40, 60% male). We examined associations to cannabis use and mood and assessed the influence of sex and age on the outcomes. Specifically, in the first study, we examined prefrontal broadband power, previously found to be related to healthy neurocognitive development, in relation cannabis use. We also examined left prefrontal alpha power, previously found to be related to anxiety and depression, in relation to Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI) scores. In the second study, we examined only left prefrontal alpha power during the cold pressor test (CPT), which elicits a stress response. We found that in the first study, young males (ages 21-23) showed the greatest association between prefrontal broadband power and cannabis use (R = 0.50; p = 0.007), while females showed associations between left prefrontal alpha power and BAI scores (R = 0.61, p = 0.013). In the second study, the CPT increased anxiousness (p < 0.001) but did not affect left prefrontal alpha power. Together, our findings help to characterize these putative biomarkers in individuals that use cannabis, while informing the utility of mobile EEG devices for tracking markers of mental health and wellness outside of laboratory settings.</p>","PeriodicalId":520008,"journal":{"name":"NPP-digital psychiatry and neuroscience","volume":"3 1","pages":"18"},"PeriodicalIF":0.0,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145710688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging biosensors in clinical and research settings: a guide to device selection.","authors":"Lana Ruvolo Grasser","doi":"10.1038/s44277-025-00037-w","DOIUrl":"10.1038/s44277-025-00037-w","url":null,"abstract":"<p><p>Psychophysiological variables-e.g., heart rate (HR), heart rate variability (HRV), and skin conductance response (SCR)-reflect autonomic nervous system functioning implicated in arousal, emotion (dys)regulation, and psychopathology. Psychophysiological variables can be leveraged to assess cognitive, social, and functional domains by overcoming subjective biases associated with self-, caregiver- and observer report. Psychophysiology can be measured across multiple contexts using various biosensing devices. Naturalistic biosensing can expand diverse participation in neurobiological research, by removing barriers of time and geographic distance required for lab-based assessments. Biosensing in clinical contexts also has the potential to provide peripheral physiological indicators of response to psychotherapeutic interventions. Measuring psychophysiology naturalistically and during psychotherapeutic sessions can elucidate mechanistic and causal processes. This Perspectives piece provides guideposts for scientists and practitioners to consider when selected biosensing devices/systems for clinical and research applications. Empirical evidence supporting the use of biosensors for valid and reliable psychophysiological signals-like electrodermal activity (EDA), photoplethysmography (PPG), and electrocardiography (ECG)-are reviewed in terms of the end-to-end user experience, accessibility of raw data, data quality, and data security. Finally, considerations of racial bias and variation related to biological sex in psychophysiological measures are discussed. The ultimate goal of this Perspectives piece is to inform expanded use of biosensing for the measurement of peripheral physiology to (1) improve understanding of naturalistic disease processes, (2) predict treatment response, (3) guide treatment progression, and (4) identify underlying treatment mechanisms for further refinement in clinical and research settings.</p>","PeriodicalId":520008,"journal":{"name":"NPP-digital psychiatry and neuroscience","volume":"3 1","pages":"17"},"PeriodicalIF":0.0,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12624877/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145710682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the relationship between mean performance and within-person variability on smartphone-based cognitive testing in adults across the lifespan.","authors":"Laura M Campbell, Andrea M Weinstein, Ashley Henneghan, Emily W Paolillo, Robert Ackerman, Jessica Bomyea, Colin A Depp, Philip D Harvey, Amy E Pinkham, Elizabeth W Twamley, Raeanne C Moore","doi":"10.1038/s44277-025-00036-x","DOIUrl":"10.1038/s44277-025-00036-x","url":null,"abstract":"<p><p>Cognitive performance is classically measured through measures of central tendency. However, intraindividual cognitive variability (IIV) also holds important information about cognitive functioning. Smartphone-based ecological momentary cognitive testing (EMCT) can capture IIV across days. This study examined predictors of IIV, including demographics, affect, and mean performance, in EMCTs completed on the NeuroUX platform among two US-based samples: adults and older adults with high rates of mild cognitive impairment. The adult sample (n = 375) completed eight EMCTs assessing memory, processing speed, executive functioning, and working memory; each test was self-administered five times over ten days. The older adult sample (n = 94) completed three EMCTs assessing memory, processing speed/executive function, and working memory at three difficulty levels; each test at each difficulty level was self-administered five times over thirty days. Mean performance demonstrated the strongest association with IIV across groups. In the adult group, better mean performance was associated with less variability on tests of memory, executive functioning, and two out of three tests of processing speed. On tests of working memory, better mean performance was associated with greater variability, possibly due to the difficulty of these measures at higher performance levels. In the older adult sample, better mean performance was associated with two of three versions of the memory and working memory EMCTs and all difficulty levels of the processing speed/executive function task. Better average performance was associated with greater consistency across most measures. Broader and more diverse data collection methods like EMCT can provide valuable insights into cognitive functioning beyond traditional mean-based measures.</p>","PeriodicalId":520008,"journal":{"name":"NPP-digital psychiatry and neuroscience","volume":"3 1","pages":"15"},"PeriodicalIF":0.0,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145710701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Signs and symptoms of internalizing and externalizing disorders and opportunities for clinical translation.","authors":"Adrienne L Romer","doi":"10.1038/s44277-025-00031-2","DOIUrl":"10.1038/s44277-025-00031-2","url":null,"abstract":"","PeriodicalId":520008,"journal":{"name":"NPP-digital psychiatry and neuroscience","volume":"3 1","pages":"12"},"PeriodicalIF":0.0,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12624918/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145710655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Language models in digital psychiatry: challenges with simplification of healthcare materials.","authors":"Ankit Aich, Tingting Liu, Salvatore Giorgi, Kelsey Isman, Ruhshana Bobojonova, Lyle Ungar, Brenda Curtis","doi":"10.1038/s44277-025-00029-w","DOIUrl":"10.1038/s44277-025-00029-w","url":null,"abstract":"<p><p>Linguistic hurdles in healthcare, such as complex language, significantly affect patient outcomes, including satisfaction with interaction, comprehension of healthcare materials, and engagement with the healthcare system. Reducing these hurdles has been a focus in healthcare delivery, as they significantly hinder patient engagement and adherence to treatments. The growing use of large language models (LLMs) in healthcare opens the possibility to reduce these linguistic hurdles. This study evaluates the ability of five prominent LLMs-GPT-3.5, GPT-4, GPT-4o, LLaMA-3, and Mistral-to simplify healthcare information to the standard recommended by the American Journal of Medicine. Our results indicate that while LLMs can approximate targeted reading levels, their outputs are inconsistent, with significant variability in reading level and deviation from the topic, making them unsuitable for deployment in healthcare settings.</p>","PeriodicalId":520008,"journal":{"name":"NPP-digital psychiatry and neuroscience","volume":"3 1","pages":"10"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12624920/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145710678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: \"Ask\" or \"Inquire\": operationalizing speech formality in psychosis and its risk states using etymology.","authors":"Matthew Cotter, Alessia McGowan, Zarina Bilgrami, Cansu Sarac, Johanna Bayer, Jessica Spark, Marija Krcmar, Melanie Formica, Kate Gwyther, Jessica Hartmann, Sophia Shuster, Alexandria Selloni, Jai Shah, Shaynna N Herrera, Patrick McGorry, Alison R Yung, Barnaby Nelson, Romina Mizrahi, Guillermo Cecchi, Stephen Heisig, Agrima Srivastava, Cheryl M Corcoran","doi":"10.1038/s44277-025-00027-y","DOIUrl":"10.1038/s44277-025-00027-y","url":null,"abstract":"","PeriodicalId":520008,"journal":{"name":"NPP-digital psychiatry and neuroscience","volume":"3 1","pages":"7"},"PeriodicalIF":0.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12624872/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145710696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multimodal objective assessment of impulsivity in healthy and mood disorder participants.","authors":"Bishal Lamichhane, Nidal Moukaddam, Ramiro Salas, Wayne Goodman, Ashutosh Sabharwal","doi":"10.1038/s44277-025-00026-z","DOIUrl":"10.1038/s44277-025-00026-z","url":null,"abstract":"<p><p>Impulsivity represents an individual's tendency to act on urges without sufficient forethought. Heightened impulsivity is a hallmark of many mental health disorders. Objective impulsivity assessments could improve risk evaluation, diagnosis, and behavioral outcome monitoring in impulsivity-related health disorders. Towards objective impulsivity assessment, in this work, we identify impulsivity correlates in objective measurements, investigate their complementarity, and contrast impulsivity mechanisms across health conditions. We analyzed behavioral tests, heart rate variability (HRV), and fMRI-based brain connectivity in 227 healthy participants and 34 participants with mood disorders. Impulsivity dimensions had complementary correlates in objective measurements, with fMRI providing the strongest correlates. Multimodal assessment provided high r-squared (adjusted) values in modeling impulsivity of the mood disorder participants (e.g., r-squared of 0.73, p < 0.001 for attentional impulsivity) but low r-squared for healthy participants (the best r-squared being 0.17, p < 0.001 for sensation seeking impulsivity). The differing association between impulsivity dimensions across the two populations likely indicates a health condition-specific impulsivity mechanism across populations. The complementary nature of objective impulsivity correlates across populations demonstrates the distributed signature of multidimensional impulsivity, likely capturing the complexity of behavioral modeling.</p>","PeriodicalId":520008,"journal":{"name":"NPP-digital psychiatry and neuroscience","volume":"3 1","pages":"6"},"PeriodicalIF":0.0,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12624883/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145710644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel method for estrous cycle staging using supervised object detection.","authors":"Benjamin Babaev, Saachi Goyal, Tushar Arora, Anita Autry, Rachel A Ross","doi":"10.1038/s44277-024-00020-x","DOIUrl":"10.1038/s44277-024-00020-x","url":null,"abstract":"<p><p>The estrous cycle regulates reproductive events and hormone changes in female mammals and is analogous to the menstrual cycle in humans. Monitoring this cycle is necessary as it serves as a biomarker for overall health and is crucial for interpreting study results. The estrous cycle comprises four stages influenced by fluctuating levels of hormones, mainly estradiol and progesterone. Tracking the cycle traditionally relies on vaginal cytology, which categorizes stages based on three epithelial cell concentrations. However, this method has limitations, including time-consuming training and variability among researchers. This study assesses the feasibility and reliability of two previous image classification models as well as introducing an alternative method of machine learning to address the challenges posed by manual vaginal cytology and image classification. An object detection-based machine learning model, Object Detection Estrous Staging (ODES), was employed to identify cell types throughout the estrous cycle in mice. A dataset of 730 vaginal cytology images with four different stains was used, with 335 images for training, 45 for validation, and 350 for testing. A novel, accurate set of rules for classification was derived by analyzing training images. ODES achieved an average accuracy of 80% in classifying cycle stages, comparable to human accuracy (66%) and previous image classification models (41-79%). The efficiency of ODES, processing 100 test images in just 2.67 minutes, makes it a valuable tool for large-scale neuropsychiatric studies involving female rodents and also encourages the integration of this variable into neurological and psychiatric research. These results demonstrate that ODES offers a fast, reliable, and accessible method for estrous cycle monitoring, potentially improving how researchers approach sex-based variables in neuropsychiatric studies.</p>","PeriodicalId":520008,"journal":{"name":"NPP-digital psychiatry and neuroscience","volume":"3 1","pages":"3"},"PeriodicalIF":0.0,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12510444/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145710667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of neuroscience education therapy, behavioral economics, and digital navigators on patient migraine treatment adherence to a mobile health application: a prospective pilot randomized controlled trial.","authors":"Mia T Minen, Erin K Waire, John Torous, Jessica Fishman, Richard B Lipton, Scott W Powers","doi":"10.1038/s44277-024-00021-w","DOIUrl":"10.1038/s44277-024-00021-w","url":null,"abstract":"<p><p>Mobile health (mHealth) tools can be used to deliver nonpharmacologic therapies to patients with migraine. However, mHealth studies often report poor treatment adherence. Neuroscience Education Therapy (NET), behavioral economics, and Digital Navigators have the potential to increase treatment adherence and thereby improve remote migraine self-management. We conducted a 6-month prospective pilot randomized controlled trial testing if a multi-component package of behavioral interventions increased treatment adherence among patients using one of two different mHealth migraine self-management programs (low-intensity program consisting only of a headache diary versus high-intensity program consisting of a headache diary and behavioral exercises). Our outcomes were the number of diary entries and behavioral exercises completed/week captured via back-end analytics of the mHealth application. We also compared our adherence data at 90-days (a secondary endpoint to assess the durability of the effect) with adherence data from similar published studies without the adherence-enhancing package. We enrolled 26 participants (n = 15 low intensity group, n = 11 high-intensity group). During the 6-week intervention period, we had a median of 7 headache diary entries/week in both groups and a median of 6 days/week of behavioral exercises in the high-intensity group. The rate of adherence with the adherence-enhancing package included was 2.9-8x higher compared to the median rates of the behavioral exercises to historical controls. With use of NET, behavioral economics, and digital navigators, participants achieved higher levels of adherence to both self-management programs compared to prior remote migraine self-management studies. Therefore, these tools may be beneficial to improving adherence to migraine self-management programs.</p>","PeriodicalId":520008,"journal":{"name":"NPP-digital psychiatry and neuroscience","volume":"3 1","pages":"2"},"PeriodicalIF":0.0,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12510445/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145710674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Time-on-task-related decrements in performance in the rodent continuous performance test are not caused by physical disengagement from the task.","authors":"Ye Li, Thomas van Kralingen, Megan Masi, Brandon Villanueva Sanchez, Beyonca Mitchell, Joshua Johnson, Jorge Miranda-Barrientos, Jason Rehg, Keri Martinowich, Gregory V Carr","doi":"10.1038/s44277-025-00025-0","DOIUrl":"10.1038/s44277-025-00025-0","url":null,"abstract":"<p><p>Attention deficits, a hallmark of many neuropsychiatric disorders, significantly impair quality of life and functional outcome for patients. Continuous Performance Tests (CPTs) are widely used to assess attentional function in clinical settings and have been adapted for mice as the rodent Continuous Performance Test (rCPT). In this study, we combined traditional analyses of rCPT performance with markerless pose estimation using DeepLabCut and visual field analysis (VFA) to objectively measure the orientation of mice toward stimuli during rCPT sessions. Additionally, we extended the session length to assess performance decrements over time. Our findings show that extending rCPT sessions from 45-90 min results in a significant decline in performance in male mice, which aligns with performance decrements observed in clinical research. Importantly, physical engagement with the task remained relatively stable throughout the session, even as performance deteriorated. This suggests that the performance decline specifically reflects a time-on-task (TOT)-dependent vigilance decrement rather than physical disengagement. We also investigated the effects of amphetamine, an FDA-approved treatment for attention-deficit/hyperactivity disorder (ADHD), on rCPT performance. Amphetamine significantly reduced false alarms without affecting orientation or physical engagement with task stimuli in both male and female mice. This improved rCPT performance in males, but not in females because hit rate also declined following amphetamine administration in females. Collectively, these findings validate a behavioral tracking platform for objectively measuring physical engagement in the rCPT and a task modification that accentuates TOT-dependent performance decrements, enhancing the translational value of the rCPT for studies related to human neuropsychiatric disorders.</p>","PeriodicalId":520008,"journal":{"name":"NPP-digital psychiatry and neuroscience","volume":"3 1","pages":"4"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11825365/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143434772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}