Pub Date : 2024-09-08DOI: 10.1101/2024.09.07.24313237
Sam A Sievertsen, Jinhan Zhu, Angela Fang, Jennifer K Forsyth
Introduction Generalized anxiety disorder (GAD) frequently emerges during childhood or adolescence, yet, few studies have examined functional connectivity differences in youth GAD. Functional MRI studies of adult GAD have implicated multiple brain regions; however, frequent examination of individual brain seed regions and/or networks has limited a holistic view of GAD-associated differences. The current study therefore used resting-state fMRI data from the Adolescent Brain Cognitive Development study to investigate connectivity in youth with GAD across multiple cortical networks and subcortical regions implicated in adult GAD, considering diagnosis changes across two assessment periods. Methods Within- and between-network connectivity in 164 GAD youth and 3158 healthy controls for 6 cortical networks and 6 subcortical regions was assessed using linear mixed effect models. Changes in GAD-associated connectivity between baseline and 2-year follow-up were then compared for subjects with: continuous GAD, GAD at baseline and not follow-up (GAD-remitters), GAD at follow-up and not baseline (GAD-converters), and controls. Associations between GAD-associated connectivity metrics and Child Behavior Checklist (CBCL) symptom severity were assessed using mixed effects models. Results GAD youth showed greater within-ventral attention network (VAN) connectivity, and hyperconnectivity between the amygdala and cingulo-opercular network, and between striatal regions and the cingulo-opercular, default mode, and salience networks (FDR p<0.05). Within-VAN connectivity decreased for GAD-remitters between baseline and follow-up. Connectivity was not associated with symptom severity. Discussion Results indicate that GAD in childhood and adolescence is associated with altered subcortical to cortical network connectivity affecting multiple networks, and that within-VAN hyperconnectivity, in particular, is associated with clinically-significant GAD symptoms.
{"title":"Resting State Cortical Network and Subcortical Hyperconnectivity in Youth With Generalized Anxiety Disorder in the ABCD Study","authors":"Sam A Sievertsen, Jinhan Zhu, Angela Fang, Jennifer K Forsyth","doi":"10.1101/2024.09.07.24313237","DOIUrl":"https://doi.org/10.1101/2024.09.07.24313237","url":null,"abstract":"Introduction\u0000Generalized anxiety disorder (GAD) frequently emerges during childhood or adolescence, yet, few studies have examined functional connectivity differences in youth GAD. Functional MRI studies of adult GAD have implicated multiple brain regions; however, frequent examination of individual brain seed regions and/or networks has limited a holistic view of GAD-associated differences. The current study therefore used resting-state fMRI data from the Adolescent Brain Cognitive Development study to investigate connectivity in youth with GAD across multiple cortical networks and subcortical regions implicated in adult GAD, considering diagnosis changes across two assessment periods. Methods\u0000Within- and between-network connectivity in 164 GAD youth and 3158 healthy controls for 6 cortical networks and 6 subcortical regions was assessed using linear mixed effect models. Changes in GAD-associated connectivity between baseline and 2-year follow-up were then compared for subjects with: continuous GAD, GAD at baseline and not follow-up (GAD-remitters), GAD at follow-up and not baseline (GAD-converters), and controls. Associations between GAD-associated connectivity metrics and Child Behavior Checklist (CBCL) symptom severity were assessed using mixed effects models. Results\u0000GAD youth showed greater within-ventral attention network (VAN) connectivity, and hyperconnectivity between the amygdala and cingulo-opercular network, and between striatal regions and the cingulo-opercular, default mode, and salience networks (FDR p<0.05). Within-VAN connectivity decreased for GAD-remitters between baseline and follow-up. Connectivity was not associated with symptom severity. Discussion\u0000Results indicate that GAD in childhood and adolescence is associated with altered subcortical to cortical network connectivity affecting multiple networks, and that within-VAN hyperconnectivity, in particular, is associated with clinically-significant GAD symptoms.","PeriodicalId":501388,"journal":{"name":"medRxiv - Psychiatry and Clinical Psychology","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142196710","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}
Pub Date : 2024-09-07DOI: 10.1101/2024.09.06.24313128
Nicholas R. Farrell, Catherine W MacDonald, Mia Nuñez, Andreas Rhode, Nicholas Lume, Patrick B. McGrath, Marina Baskova, Eli Wilson, Jonathan S. Abramowitz, Jamie D. Feusner
The Dimensional Obsessive Compulsive Scale (DOCS) was developed to address several limitations of existing self-report measures of obsessive compulsive disorder (OCD) symptoms, and has been found to be a psychometrically sound method of assessing OCD symptoms in adults. However, to date, the psychometric performance of the DOCS has not been studied in a youth sample. The present study addressed this gap in the literature by examining the psychometric properties of the DOCS in a large sample (n=182) of treatment-seeking youth diagnosed with OCD. Results indicated that the DOCS showed good convergent validity with a youth OCD assessment scale, as well as similar sensitivity to the effects of treatment-related change in symptom severity. The DOCS also maintained its original four-factor structure in the youth sample, similar to findings in adults, supporting the consistency of the four subscales included. Overall, the DOCS appears to represent a promising method for assessing OCD symptom severity and response to treatment of OCD in youth.
{"title":"A Psychometric Examination of the Dimensional Obsessive Compulsive Scale in a Treatment-Seeking Youth Sample","authors":"Nicholas R. Farrell, Catherine W MacDonald, Mia Nuñez, Andreas Rhode, Nicholas Lume, Patrick B. McGrath, Marina Baskova, Eli Wilson, Jonathan S. Abramowitz, Jamie D. Feusner","doi":"10.1101/2024.09.06.24313128","DOIUrl":"https://doi.org/10.1101/2024.09.06.24313128","url":null,"abstract":"The Dimensional Obsessive Compulsive Scale (DOCS) was developed to address several limitations of existing self-report measures of obsessive compulsive disorder (OCD) symptoms, and has been found to be a psychometrically sound method of assessing OCD symptoms in adults. However, to date, the psychometric performance of the DOCS has not been studied in a youth sample. The present study addressed this gap in the literature by examining the psychometric properties of the DOCS in a large sample (n=182) of treatment-seeking youth diagnosed with OCD. Results indicated that the DOCS showed good convergent validity with a youth OCD assessment scale, as well as similar sensitivity to the effects of treatment-related change in symptom severity. The DOCS also maintained its original four-factor structure in the youth sample, similar to findings in adults, supporting the consistency of the four subscales included. Overall, the DOCS appears to represent a promising method for assessing OCD symptom severity and response to treatment of OCD in youth.","PeriodicalId":501388,"journal":{"name":"medRxiv - Psychiatry and Clinical Psychology","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142196711","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}
Pub Date : 2024-09-06DOI: 10.1101/2024.09.02.24312960
Luke J. Hearne, B.T. Thomas Yeo, Lachlan Webb, Andrew Zalesky, Paul B. Fitzgerald, Oscar W. Murphy, Ye Tian, Michael Breakspear, Caitlin V. Hall, Sunah Choi, Minah Kim, Jun Soo Kwon, Luca Cocchi
Improving diagnostic accuracy of obsessive-compulsive disorder (OCD) using models of brain imaging data is a key goal of the field, but this objective is challenging due to the limited size and phenotypic depth of clinical datasets. Leveraging the phenotypic diversity in large non-clinical datasets such as the UK Biobank (UKBB), offers a potential solution to this problem. Nevertheless, it remains unclear whether classification models trained on non-clinical populations will generalise to individuals with clinical OCD. This question is also relevant for the conceptualisation of OCD; specifically, whether the symptomology of OCD exists on a continuum from normal to pathological. Here, we examined a recently published “meta-matching” model trained on functional connectivity data from five large normative datasets (N=45,507) to predict cognitive, health and demographic variables. Specifically, we tested whether this model could classify OCD status in three independent clinical datasets (N=345). We found that the model could identify out-of-sample OCD individuals. Notably, the most predictive functional connectivity features mapped onto known cortico-striatal abnormalities in OCD and correlated with genetic brain expression maps previously implicated in the disorder. Further, the meta-matching model relied upon estimates of cognitive functions, such as cognitive flexibility and inhibition, to successfully predict OCD. These findings suggest that variability in non-clinical brain and behavioural features can discriminate clinical OCD status. These results support a dimensional and transdiagnostic conceptualisation of the brain and behavioural basis of OCD, with implications for research approaches and treatment targets.
{"title":"Distinct cognitive and functional connectivity features from healthy cohorts can identify clinical obsessive-compulsive disorder","authors":"Luke J. Hearne, B.T. Thomas Yeo, Lachlan Webb, Andrew Zalesky, Paul B. Fitzgerald, Oscar W. Murphy, Ye Tian, Michael Breakspear, Caitlin V. Hall, Sunah Choi, Minah Kim, Jun Soo Kwon, Luca Cocchi","doi":"10.1101/2024.09.02.24312960","DOIUrl":"https://doi.org/10.1101/2024.09.02.24312960","url":null,"abstract":"Improving diagnostic accuracy of obsessive-compulsive disorder (OCD) using models of brain imaging data is a key goal of the field, but this objective is challenging due to the limited size and phenotypic depth of clinical datasets. Leveraging the phenotypic diversity in large non-clinical datasets such as the UK Biobank (UKBB), offers a potential solution to this problem. Nevertheless, it remains unclear whether classification models trained on non-clinical populations will generalise to individuals with clinical OCD. This question is also relevant for the conceptualisation of OCD; specifically, whether the symptomology of OCD exists on a continuum from normal to pathological. Here, we examined a recently published “meta-matching” model trained on functional connectivity data from five large normative datasets (N=45,507) to predict cognitive, health and demographic variables. Specifically, we tested whether this model could classify OCD status in three independent clinical datasets (N=345). We found that the model could identify out-of-sample OCD individuals. Notably, the most predictive functional connectivity features mapped onto known cortico-striatal abnormalities in OCD and correlated with genetic brain expression maps previously implicated in the disorder. Further, the meta-matching model relied upon estimates of cognitive functions, such as cognitive flexibility and inhibition, to successfully predict OCD. These findings suggest that variability in non-clinical brain and behavioural features can discriminate clinical OCD status. These results support a dimensional and transdiagnostic conceptualisation of the brain and behavioural basis of OCD, with implications for research approaches and treatment targets.","PeriodicalId":501388,"journal":{"name":"medRxiv - Psychiatry and Clinical Psychology","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142196577","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}
Pub Date : 2024-09-06DOI: 10.1101/2024.09.05.24311404
Hendrik-Jan De Vuyst, Angeliki-Ilektra Karaiskou, Javier R. Soriano, Jelle Pergens, Ruth Op de Beeck, Katleen Van der Gucht, Filip Raes, Maarten De Vos, Carolina Varon, Kaat Alaerts
Objectives Neurofeedback training involves real-time monitoring and self-regulation of neural activity. Neurofeedback training paradigms have been widely employed in the context of meditation. Interestingly, prior research revealed focused attention meditation to be associated with desynchronized, non-harmonic, cross-frequency relationships between alpha and theta rhythms, suggesting cross-frequency decoupling. However, the potential of training these brainwave patterns to assist meditative practices remains unexplored.
{"title":"Assisting focused attention meditation through EEG-based alpha-theta cross-frequency neurofeedback","authors":"Hendrik-Jan De Vuyst, Angeliki-Ilektra Karaiskou, Javier R. Soriano, Jelle Pergens, Ruth Op de Beeck, Katleen Van der Gucht, Filip Raes, Maarten De Vos, Carolina Varon, Kaat Alaerts","doi":"10.1101/2024.09.05.24311404","DOIUrl":"https://doi.org/10.1101/2024.09.05.24311404","url":null,"abstract":"<strong>Objectives</strong> Neurofeedback training involves real-time monitoring and self-regulation of neural activity. Neurofeedback training paradigms have been widely employed in the context of meditation. Interestingly, prior research revealed focused attention meditation to be associated with desynchronized, non-harmonic, cross-frequency relationships between alpha and theta rhythms, suggesting cross-frequency decoupling. However, the potential of training these brainwave patterns to assist meditative practices remains unexplored.","PeriodicalId":501388,"journal":{"name":"medRxiv - Psychiatry and Clinical Psychology","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142196735","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}
Pub Date : 2024-09-06DOI: 10.1101/2024.09.05.24312724
Joshua Ryan Smith, Seri Lim, Snehal Bindra, Sarah Marler, Bavani Rajah, Zachary J. Williams, Isaac Baldwin, Nausheen Hossain, Jo Ellen Wilson, D. Catherine Fuchs, James Luccarelli
Introduction Catatonia is a highly morbid psychomotor and affective disorder which can affect autistic individuals with and without profound impairment. Catatonic symptoms are treatable with pharmacotherapy and electroconvulsive therapy, but the longitudinal effectiveness of these treatments has not been described.
{"title":"Longitudinal Symptom Burden and Pharmacologic Management of Catatonia in Autism with and without Profound Impairment: An Observational Study","authors":"Joshua Ryan Smith, Seri Lim, Snehal Bindra, Sarah Marler, Bavani Rajah, Zachary J. Williams, Isaac Baldwin, Nausheen Hossain, Jo Ellen Wilson, D. Catherine Fuchs, James Luccarelli","doi":"10.1101/2024.09.05.24312724","DOIUrl":"https://doi.org/10.1101/2024.09.05.24312724","url":null,"abstract":"<strong>Introduction</strong> Catatonia is a highly morbid psychomotor and affective disorder which can affect autistic individuals with and without profound impairment. Catatonic symptoms are treatable with pharmacotherapy and electroconvulsive therapy, but the longitudinal effectiveness of these treatments has not been described.","PeriodicalId":501388,"journal":{"name":"medRxiv - Psychiatry and Clinical Psychology","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142225128","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}
Pub Date : 2024-09-06DOI: 10.1101/2024.09.05.24313116
Pénélope Pelland-Goulet, Martin Arguin, Hélène Brisebois, Nathalie Gosselin
ADHD is a neurodevelopmental disorder affecting 3-4% of Canadian adults and 2.6% of adults worldwide. Its symptoms include inattention, hyperactivity and impulsivity. Though ADHD is known to affect several brain functions and cognitive processes, little is known regarding its impact on perceptual oscillations. This study compared the temporal features of visual processing between ADHD and neurotypical individuals in a word recognition task. These features were sufficiently different across groups while at the same time sufficiently congruent across participants of the same group that a machine learning algorithm classified participants in their respective groups with a 91.8% accuracy using only a small portion of the available features. Secondary findings showed that individuals with ADHD could be classified with high accuracy (91.3%) regarding their use of psychostimulant medication. These findings suggest the existence of strong behavioral markers of ADHD as well as of regular medication usage on visual performance which can be uncovered by random temporal sampling.
{"title":"Visual processing oscillates differently through time for adults with ADHD","authors":"Pénélope Pelland-Goulet, Martin Arguin, Hélène Brisebois, Nathalie Gosselin","doi":"10.1101/2024.09.05.24313116","DOIUrl":"https://doi.org/10.1101/2024.09.05.24313116","url":null,"abstract":"ADHD is a neurodevelopmental disorder affecting 3-4% of Canadian adults and 2.6% of adults worldwide. Its symptoms include inattention, hyperactivity and impulsivity. Though ADHD is known to affect several brain functions and cognitive processes, little is known regarding its impact on perceptual oscillations. This study compared the temporal features of visual processing between ADHD and neurotypical individuals in a word recognition task. These features were sufficiently different across groups while at the same time sufficiently congruent across participants of the same group that a machine learning algorithm classified participants in their respective groups with a 91.8% accuracy using only a small portion of the available features. Secondary findings showed that individuals with ADHD could be classified with high accuracy (91.3%) regarding their use of psychostimulant medication. These findings suggest the existence of strong behavioral markers of ADHD as well as of regular medication usage on visual performance which can be uncovered by random temporal sampling.","PeriodicalId":501388,"journal":{"name":"medRxiv - Psychiatry and Clinical Psychology","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142196713","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}
Pub Date : 2024-09-05DOI: 10.1101/2024.09.02.24312939
Karissa DiMarzio, Darlynn M. Rojo-Wissar, Evelyn Hernandez Valencia, Mikayla Ver Pault, Shane Denherder, Adamari Lopez, Jena Lerch, Georgette Metrailer, Sarah M. Merrill, April Highlander, Justin Parent
Study Objectives We investigated how a dimension of early life adversity (ELA) capturing threat in the home relates to later epigenetic age acceleration in adolescence through sleep (duration, efficiency, and timing), to empirically test theoretical models suggesting the importance of sleep as a key mechanism linking ELA with poor health outcomes, and to expand the limited literature on sleep and epigenetic aging among youth.
研究目的 我们调查了早期生活逆境（ELA）的一个维度，即家庭中的威胁如何通过睡眠（持续时间、效率和时间）与青少年后期的表观遗传年龄加速相关联，从而对理论模型进行实证检验，该模型表明睡眠的重要性是将 ELA 与不良健康结果联系起来的一个关键机制，并扩展了有关青少年睡眠和表观遗传衰老的有限文献。
{"title":"Childhood Adversity and Adolescent Epigenetic Age Acceleration: The Role of Adolescent Sleep Health","authors":"Karissa DiMarzio, Darlynn M. Rojo-Wissar, Evelyn Hernandez Valencia, Mikayla Ver Pault, Shane Denherder, Adamari Lopez, Jena Lerch, Georgette Metrailer, Sarah M. Merrill, April Highlander, Justin Parent","doi":"10.1101/2024.09.02.24312939","DOIUrl":"https://doi.org/10.1101/2024.09.02.24312939","url":null,"abstract":"<strong>Study Objectives</strong> We investigated how a dimension of early life adversity (ELA) capturing threat in the home relates to later epigenetic age acceleration in adolescence through sleep (duration, efficiency, and timing), to empirically test theoretical models suggesting the importance of sleep as a key mechanism linking ELA with poor health outcomes, and to expand the limited literature on sleep and epigenetic aging among youth.","PeriodicalId":501388,"journal":{"name":"medRxiv - Psychiatry and Clinical Psychology","volume":"192 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142196738","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}
Pub Date : 2024-09-05DOI: 10.1101/2024.09.04.24313084
Giovanni Abrahão Salum, Marianna de Abreu Costa, Lucas Spanemberg, André Rafael Simioni, Natan Pereira Gosmann, Lívia Hartmann de Souza, Pim Cuijpers, Daniel Samuel Pine, André Russowsky Brunoni, Christian Haag Kristensen, Marcelo Pio de Almeida Fleck, Gisele Gus Manfro, Carolina Blaya Dreher
BACKGROUND The SARS-CoV-2 pandemic has catalyzed a widespread mental health crisis, impacting millions of people. This study aimed to compare three brief remote psychological treatments for healthcare workers with emotional distress during the SARS-CoV-2 pandemic.
{"title":"Brief remote psychological treatments for healthcare workers with emotional distress during the SARS-CoV-2 pandemic: a randomized clinical trial","authors":"Giovanni Abrahão Salum, Marianna de Abreu Costa, Lucas Spanemberg, André Rafael Simioni, Natan Pereira Gosmann, Lívia Hartmann de Souza, Pim Cuijpers, Daniel Samuel Pine, André Russowsky Brunoni, Christian Haag Kristensen, Marcelo Pio de Almeida Fleck, Gisele Gus Manfro, Carolina Blaya Dreher","doi":"10.1101/2024.09.04.24313084","DOIUrl":"https://doi.org/10.1101/2024.09.04.24313084","url":null,"abstract":"<strong>BACKGROUND</strong> The SARS-CoV-2 pandemic has catalyzed a widespread mental health crisis, impacting millions of people. This study aimed to compare three brief remote psychological treatments for healthcare workers with emotional distress during the SARS-CoV-2 pandemic.","PeriodicalId":501388,"journal":{"name":"medRxiv - Psychiatry and Clinical Psychology","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142196739","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}
Pub Date : 2024-09-05DOI: 10.1101/2024.09.04.24313004
Jea Woo Kang, Lora A. Khatib, Margo B. Heston, Amanda H. Dilmore, Jennifer S. Labus, Yuetiva Deming, Leyla Schimmel, Colette Blach, Daniel McDonald, Antonio Gonzalez, MacKenzie Bryant, Karenina Sanders, Lara Schwartz, Tyler K. Ulland, Sterling C. Johnson, Sanjay Asthana, Cynthia M. Carlsson, Nathaniel A. Chin, Kaj Blennow, Henrik Zetterberg, Federico E. Rey, Alzheimer Gut Microbiome Project Consortium, Rima Kaddurah-Daouk, Rob Knight, Barbara B. Bendlin
BACKGROUND The gut microbiome is a potentially modifiable factor in Alzheimer’s disease (AD); however, understanding of its composition and function regarding AD pathology is limited.
{"title":"Gut microbiome compositional and functional features associate with Alzheimer’s disease pathology","authors":"Jea Woo Kang, Lora A. Khatib, Margo B. Heston, Amanda H. Dilmore, Jennifer S. Labus, Yuetiva Deming, Leyla Schimmel, Colette Blach, Daniel McDonald, Antonio Gonzalez, MacKenzie Bryant, Karenina Sanders, Lara Schwartz, Tyler K. Ulland, Sterling C. Johnson, Sanjay Asthana, Cynthia M. Carlsson, Nathaniel A. Chin, Kaj Blennow, Henrik Zetterberg, Federico E. Rey, Alzheimer Gut Microbiome Project Consortium, Rima Kaddurah-Daouk, Rob Knight, Barbara B. Bendlin","doi":"10.1101/2024.09.04.24313004","DOIUrl":"https://doi.org/10.1101/2024.09.04.24313004","url":null,"abstract":"<strong>BACKGROUND</strong> The gut microbiome is a potentially modifiable factor in Alzheimer’s disease (AD); however, understanding of its composition and function regarding AD pathology is limited.","PeriodicalId":501388,"journal":{"name":"medRxiv - Psychiatry and Clinical Psychology","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142196736","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}
Pub Date : 2024-09-05DOI: 10.1101/2024.09.04.24313087
Giovanni Abrahão Salum, Lucas Spanemberg, Marianna de Abreu Costa, André Rafael Simioni, Natan Pereira Gosmann, Lívia Hartmann de Souza, Pim Cuijpers, Daniel Samuel Pine, André Russowsky Brunoni, Natan Katz, Roberto Nunes Umpierre, Christian Haag Kristensen, Gisele Gus Manfro, Marcelo Pio de Almeida Fleck, Carolina Blaya Dreher
BACKGROUND The SARS-CoV-2 pandemic was a major stressful event that significantly affected healthcare providers. This study aimed to compare the efficacy of a single-session intervention (SSI) with and without weekly personalized pre-recorded videos to prevent the worsening of emotional distress.
{"title":"Single-session intervention with and without video support to prevent the worsening of emotional distress among healthcare workers during the SARS-CoV-2 pandemic: a randomized clinical trial","authors":"Giovanni Abrahão Salum, Lucas Spanemberg, Marianna de Abreu Costa, André Rafael Simioni, Natan Pereira Gosmann, Lívia Hartmann de Souza, Pim Cuijpers, Daniel Samuel Pine, André Russowsky Brunoni, Natan Katz, Roberto Nunes Umpierre, Christian Haag Kristensen, Gisele Gus Manfro, Marcelo Pio de Almeida Fleck, Carolina Blaya Dreher","doi":"10.1101/2024.09.04.24313087","DOIUrl":"https://doi.org/10.1101/2024.09.04.24313087","url":null,"abstract":"<strong>BACKGROUND</strong> The SARS-CoV-2 pandemic was a major stressful event that significantly affected healthcare providers. This study aimed to compare the efficacy of a single-session intervention (SSI) with and without weekly personalized pre-recorded videos to prevent the worsening of emotional distress.","PeriodicalId":501388,"journal":{"name":"medRxiv - Psychiatry and Clinical Psychology","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142196737","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}
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