Search

Your search keyword '"Assaf, Michal"' showing total 243 results
Start Over Author "Assaf, Michal"
243 results on '"Assaf, Michal"'

1. Categorical and Dimensional Approaches for Psychiatric Classification and Treatment Targeting: Considerations from Psychosis Biotypes

Author

Clementz, Brett A., Assaf, Michal, Sweeney, John A., Gershon, Elliot S., Keedy, Sarah K., Hill, S. Kristian, Ivleva, Elena I., Tamminga, Carol A., McDowell, Jennifer E., Keshavan, Matcheri S., Gibbons, Robert D., Carpenter, William T., Pearlson, Godfrey D., Verkhratsky, Alexej, Series Editor, Javitt, Daniel C., editor, and McPartland, James C., editor

Published
2024
Full Text
View/download PDF

4. Brain-based classification of youth with anxiety disorders: transdiagnostic examinations within the ENIGMA-Anxiety database using machine learning

Author

Bruin, Willem B., Zhutovsky, Paul, van Wingen, Guido A., Bas-Hoogendam, Janna Marie, Groenewold, Nynke A., Hilbert, Kevin, Winkler, Anderson M., Zugman, Andre, Agosta, Federica, Åhs, Fredrik, Andreescu, Carmen, Antonacci, Chase, Asami, Takeshi, Assaf, Michal, Barber, Jacques P., Bauer, Jochen, Bavdekar, Shreya Y., Beesdo-Baum, Katja, Benedetti, Francesco, Bernstein, Rachel, Björkstrand, Johannes, Blair, Robert J., Blair, Karina S., Blanco-Hinojo, Laura, Böhnlein, Joscha, Brambilla, Paolo, Bressan, Rodrigo A., Breuer, Fabian, Cano, Marta, Canu, Elisa, Cardinale, Elise M., Cardoner, Narcís, Cividini, Camilla, Cremers, Henk, Dannlowski, Udo, Diefenbach, Gretchen J., Domschke, Katharina, Doruyter, Alexander G. G., Dresler, Thomas, Erhardt, Angelika, Filippi, Massimo, Fonzo, Gregory A., Freitag, Gabrielle F., Furmark, Tomas, Ge, Tian, Gerber, Andrew J., Gosnell, Savannah N., Grabe, Hans J., Grotegerd, Dominik, Gur, Ruben C., Gur, Raquel E., Hamm, Alfons O., Han, Laura K. M., Harper, Jennifer C., Harrewijn, Anita, Heeren, Alexandre, Hofmann, David, Jackowski, Andrea P., Jahanshad, Neda, Jett, Laura, Kaczkurkin, Antonia N., Khosravi, Parmis, Kingsley, Ellen N., Kircher, Tilo, Kostic, Milutin, Larsen, Bart, Lee, Sang-Hyuk, Leehr, Elisabeth J., Leibenluft, Ellen, Lochner, Christine, Lui, Su, Maggioni, Eleonora, Manfro, Gisele G., Månsson, Kristoffer N. T., Marino, Claire E., Meeten, Frances, Milrod, Barbara, Jovanovic, Ana Munjiza, Mwangi, Benson, Myers, Michael J., Neufang, Susanne, Nielsen, Jared A., Ohrmann, Patricia A., Ottaviani, Cristina, Paulus, Martin P., Perino, Michael T., Phan, K. Luan, Poletti, Sara, Porta-Casteràs, Daniel, Pujol, Jesus, Reinecke, Andrea, Ringlein, Grace V., Rjabtsenkov, Pavel, Roelofs, Karin, Salas, Ramiro, Salum, Giovanni A., Satterthwaite, Theodore D., Schrammen, Elisabeth, Sindermann, Lisa, Smoller, Jordan W., Soares, Jair C., Stark, Rudolf, Stein, Frederike, Straube, Thomas, Straube, Benjamin, Strawn, Jeffrey R., Suarez-Jimenez, Benjamin, Sylvester, Chad M., Talati, Ardesheer, Thomopoulos, Sophia I., Tükel, Raşit, van Nieuwenhuizen, Helena, Werwath, Kathryn, Wittfeld, Katharina, Wright, Barry, Wu, Mon-Ju, Yang, Yunbo, Zilverstand, Anna, Zwanzger, Peter, Blackford, Jennifer U., Avery, Suzanne N., Clauss, Jacqueline A., Lueken, Ulrike, Thompson, Paul M., Pine, Daniel S., Stein, Dan J., van der Wee, Nic J. A., Veltman, Dick J., and Aghajani, Moji

Published
2024
Full Text
View/download PDF

8. Autistic Traits Moderate Reappraisal Success for Depression and Anxiety Symptoms

Author

Diefenbach, Gretchen J., Stevens, Kimberly T., Dunlap, Amanda, Nicholson, Alycia M., Grella, Olivia N., Pearlson, Godfrey, and Assaf, Michal

Abstract

Cognitive reappraisal is associated with reduced emotional distress; however, little is known about the nature of this relationship in autism. This study tested whether autistic traits moderate reappraisal success (i.e., the negative correlation between reappraisal use and emotional symptom severity). Emotional symptoms were assessed using measures of depression, anxiety, and stress. It was hypothesized that more severe autistic traits would be associated with "weaker" reappraisal success across all scales. Data were collected from 377 adults using an on-line survey. Structural equation models found moderation effects for depression and anxiety, but not stress. Contrary to hypotheses, more severe autistic traits were associated with "stronger" reappraisal success. These preliminary results support including reappraisal in emotion regulation treatments for individuals with autistic traits.

Published
2022
Full Text
View/download PDF

9. Cortical and subcortical brain structure in generalized anxiety disorder: findings from 28 research sites in the ENIGMA-Anxiety Working Group

Author

Harrewijn, Anita, Cardinale, Elise M, Groenewold, Nynke A, Bas-Hoogendam, Janna Marie, Aghajani, Moji, Hilbert, Kevin, Cardoner, Narcis, Porta-Casteràs, Daniel, Gosnell, Savannah, Salas, Ramiro, Jackowski, Andrea P, Pan, Pedro M, Salum, Giovanni A, Blair, Karina S, Blair, James R, Hammoud, Mira Z, Milad, Mohammed R, Burkhouse, Katie L, Phan, K Luan, Schroeder, Heidi K, Strawn, Jeffrey R, Beesdo-Baum, Katja, Jahanshad, Neda, Thomopoulos, Sophia I, Buckner, Randy, Nielsen, Jared A, Smoller, Jordan W, Soares, Jair C, Mwangi, Benson, Wu, Mon-Ju, Zunta-Soares, Giovana B, Assaf, Michal, Diefenbach, Gretchen J, Brambilla, Paolo, Maggioni, Eleonora, Hofmann, David, Straube, Thomas, Andreescu, Carmen, Berta, Rachel, Tamburo, Erica, Price, Rebecca B, Manfro, Gisele G, Agosta, Federica, Canu, Elisa, Cividini, Camilla, Filippi, Massimo, Kostić, Milutin, Munjiza Jovanovic, Ana, Alberton, Bianca AV, Benson, Brenda, Freitag, Gabrielle F, Filippi, Courtney A, Gold, Andrea L, Leibenluft, Ellen, Ringlein, Grace V, Werwath, Kathryn E, Zwiebel, Hannah, Zugman, André, Grabe, Hans J, Van der Auwera, Sandra, Wittfeld, Katharina, Völzke, Henry, Bülow, Robin, Balderston, Nicholas L, Ernst, Monique, Grillon, Christian, Mujica-Parodi, Lilianne R, van Nieuwenhuizen, Helena, Critchley, Hugo D, Makovac, Elena, Mancini, Matteo, Meeten, Frances, Ottaviani, Cristina, Ball, Tali M, Fonzo, Gregory A, Paulus, Martin P, Stein, Murray B, Gur, Raquel E, Gur, Ruben C, Kaczkurkin, Antonia N, Larsen, Bart, Satterthwaite, Theodore D, Harper, Jennifer, Myers, Michael, Perino, Michael T, Sylvester, Chad M, Yu, Qiongru, Lueken, Ulrike, Veltman, Dick J, Thompson, Paul M, Stein, Dan J, Van der Wee, Nic JA, Winkler, Anderson M, and Pine, Daniel S

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Clinical Sciences, Psychology, Neurosciences, Women's Health, Brain Disorders, Behavioral and Social Science, Biomedical Imaging, 4.2 Evaluation of markers and technologies, Mental health, Adult, Anxiety, Anxiety Disorders, Brain, Child, Female, Humans, Magnetic Resonance Imaging, Male, Public Health and Health Services, Clinical sciences, Biological psychology
Abstract

The goal of this study was to compare brain structure between individuals with generalized anxiety disorder (GAD) and healthy controls. Previous studies have generated inconsistent findings, possibly due to small sample sizes, or clinical/analytic heterogeneity. To address these concerns, we combined data from 28 research sites worldwide through the ENIGMA-Anxiety Working Group, using a single, pre-registered mega-analysis. Structural magnetic resonance imaging data from children and adults (5-90 years) were processed using FreeSurfer. The main analysis included the regional and vertex-wise cortical thickness, cortical surface area, and subcortical volume as dependent variables, and GAD, age, age-squared, sex, and their interactions as independent variables. Nuisance variables included IQ, years of education, medication use, comorbidities, and global brain measures. The main analysis (1020 individuals with GAD and 2999 healthy controls) included random slopes per site and random intercepts per scanner. A secondary analysis (1112 individuals with GAD and 3282 healthy controls) included fixed slopes and random intercepts per scanner with the same variables. The main analysis showed no effect of GAD on brain structure, nor interactions involving GAD, age, or sex. The secondary analysis showed increased volume in the right ventral diencephalon in male individuals with GAD compared to male healthy controls, whereas female individuals with GAD did not differ from female healthy controls. This mega-analysis combining worldwide data showed that differences in brain structure related to GAD are small, possibly reflecting heterogeneity or those structural alterations are not a major component of its pathophysiology.

Published
2021

12. Inferring pathobiology from structural MRI in schizophrenia and bipolar disorder: Modeling head motion and neuroanatomical specificity

Author

Yao, Nailin, Winkler, Anderson M, Barrett, Jennifer, Book, Gregory A, Beetham, Tamara, Horseman, Rachel, Leach, Olivia, Hodgson, Karen, Knowles, Emma E, Mathias, Samuel, Stevens, Michael C, Assaf, Michal, van Erp, Theo GM, Pearlson, Godfrey D, and Glahn, David C

Subjects
Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Brain Disorders, Schizophrenia, Mental Health, Neurosciences, Serious Mental Illness, Biomedical Imaging, 2.3 Psychological, social and economic factors, 4.2 Evaluation of markers and technologies, Aetiology, Detection, screening and diagnosis, Mental health, Adult, Bipolar Disorder, Brain, Cohort Studies, Diagnosis, Differential, Female, Head, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Models, Biological, Motion, Organ Size, Psychiatric Status Rating Scales, Neuroanatomy, Neuroimaging, Structural MRI, bipolar disorder, head motion, neuroanatomic specificity, neuroanatomy, neuroimaging, schizophrenia, structural MRI, Cognitive Sciences, Experimental Psychology, Biological psychology, Cognitive and computational psychology
Abstract

Despite over 400 peer-reviewed structural MRI publications documenting neuroanatomic abnormalities in bipolar disorder and schizophrenia, the confounding effects of head motion and the regional specificity of these defects are unclear. Using a large cohort of individuals scanned on the same research dedicated MRI with broadly similar protocols, we observe reduced cortical thickness indices in both illnesses, though less pronounced in bipolar disorder. While schizophrenia (n = 226) was associated with wide-spread surface area reductions, bipolar disorder (n = 227) and healthy comparison subjects (n = 370) did not differ. We replicate earlier reports that head motion (estimated from time-series data) influences surface area and cortical thickness measurements and demonstrate that motion influences a portion, but not all, of the observed between-group structural differences. Although the effect sizes for these differences were small to medium, when global indices were covaried during vertex-level analyses, between-group effects became nonsignificant. This analysis raises doubts about the regional specificity of structural brain changes, possible in contrast to functional changes, in affective and psychotic illnesses as measured with current imaging technology. Given that both schizophrenia and bipolar disorder showed cortical thickness reductions, but only schizophrenia showed surface area changes, and assuming these measures are influenced by at least partially unique sets of biological factors, then our results could indicate some degree of specificity between bipolar disorder and schizophrenia. Hum Brain Mapp 38:3757-3770, 2017. © 2017 Wiley Periodicals, Inc.

Published
2017

13. Enhancing studies of the connectome in autism using the autism brain imaging data exchange II.

Author

Di Martino, Adriana, O'Connor, David, Chen, Bosi, Alaerts, Kaat, Anderson, Jeffrey S, Assaf, Michal, Balsters, Joshua H, Baxter, Leslie, Beggiato, Anita, Bernaerts, Sylvie, Blanken, Laura ME, Bookheimer, Susan Y, Braden, B Blair, Byrge, Lisa, Castellanos, F Xavier, Dapretto, Mirella, Delorme, Richard, Fair, Damien A, Fishman, Inna, Fitzgerald, Jacqueline, Gallagher, Louise, Keehn, R Joanne Jao, Kennedy, Daniel P, Lainhart, Janet E, Luna, Beatriz, Mostofsky, Stewart H, Müller, Ralph-Axel, Nebel, Mary Beth, Nigg, Joel T, O'Hearn, Kirsten, Solomon, Marjorie, Toro, Roberto, Vaidya, Chandan J, Wenderoth, Nicole, White, Tonya, Craddock, R Cameron, Lord, Catherine, Leventhal, Bennett, and Milham, Michael P

Subjects
Humans, Magnetic Resonance Imaging, Neuroimaging, Connectome, Autism Spectrum Disorder
Abstract

The second iteration of the Autism Brain Imaging Data Exchange (ABIDE II) aims to enhance the scope of brain connectomics research in Autism Spectrum Disorder (ASD). Consistent with the initial ABIDE effort (ABIDE I), that released 1112 datasets in 2012, this new multisite open-data resource is an aggregate of resting state functional magnetic resonance imaging (MRI) and corresponding structural MRI and phenotypic datasets. ABIDE II includes datasets from an additional 487 individuals with ASD and 557 controls previously collected across 16 international institutions. The combination of ABIDE I and ABIDE II provides investigators with 2156 unique cross-sectional datasets allowing selection of samples for discovery and/or replication. This sample size can also facilitate the identification of neurobiological subgroups, as well as preliminary examinations of sex differences in ASD. Additionally, ABIDE II includes a range of psychiatric variables to inform our understanding of the neural correlates of co-occurring psychopathology; 284 diffusion imaging datasets are also included. It is anticipated that these enhancements will contribute to unraveling key sources of ASD heterogeneity.

Published
2017

26. Brain-Based Classification of Youth with Anxiety Disorders: an ENIGMA-ANXIETY Transdiagnostic Examination using Machine Learning

Author

Bruin, Willem B., primary, Zhutovsky, Paul, additional, van Wingen, Guido, additional, Bas-Hoogendam, Janna Marie, additional, Groenewold, Nynke A., additional, Hilbert, Kevin, additional, Winkler, Anderson M., additional, Zugman, André, additional, Agosta, Federica, additional, Åhs, Fredrik, additional, Andreescu, Carmen, additional, Antonacci, Chase, additional, Asami, Takeshi, additional, Assaf, Michal, additional, Barber, Jacques, additional, Bauer, Jochen, additional, Bavdekar, Shreya, additional, Beesdo-Baum, Katja, additional, Benedetti, Francesco, additional, Bernstein, Rachel, additional, Björkstrand, Johannes, additional, Blair, Robert, additional, Blair, Karina S., additional, Blanco-Hinojo, Laura, additional, Böhnlein, Joscha, additional, Brambilla, Paolo, additional, Bressan, Rodrigo, additional, Breuer, Fabian, additional, Cano, Marta, additional, Canu, Elisa, additional, Cardinale, Elise M, additional, Cardoner, Narcís, additional, Cividini, Camilla, additional, Cremers, Henk, additional, Dannlowski, Udo, additional, Diefenbach, Gretchen J., additional, Domschke, Katharina, additional, Doruyter, Alexander, additional, Dresler, Thomas, additional, Erhardt, Angelika, additional, Filippi, Massimo, additional, Fonzo, Gregory, additional, Freitag, Gabrielle Felice, additional, Furmark, Tomas, additional, Ge, Tian, additional, Gerber, Andrew J., additional, Gosnell, Savannah, additional, Grabe, Hans J., additional, Grotegerd, Dominik, additional, Gur, Ruben C., additional, Gur, Raquel E., additional, Hamm, Alfons O., additional, Han, Laura K. M., additional, Harper, Jennifer, additional, Harrewijn, Anita, additional, Heeren, Alexandre, additional, Hoffman, David, additional, Jackowski, Andrea P., additional, Jahanshad, Neda, additional, Jett, Laura, additional, Kaczkurkin, Antonia N., additional, Khosravi, Parmis, additional, Kingsley, Ellen, additional, Kircher, Tilo, additional, Kostić, Milutin, additional, Larsen, Bart, additional, Lee, Sang-Hyuk, additional, Leehr, Elisabeth, additional, Leibenluft, Ellen, additional, Lochner, Christine, additional, Lui, Su, additional, Maggioni, Eleonora, additional, Manfro, Gisele Gus, additional, Månsson, Kristoffer, additional, Marino, Claire, additional, Meeten, Frances, additional, Milrod, Barbara, additional, Munjiza, Ana, additional, Irungu, Benson, additional, Myers, Michael, additional, Neufang, Susanne, additional, Nielsen, Jared, additional, Ohrmann, Patricia, additional, Ottaviani, Cristina, additional, Paulus, Martin P, additional, Perino, Michael T., additional, Phan, K Luan, additional, Poletti, Sara, additional, Porta-Casteràs, Daniel, additional, Pujol, Jesus, additional, Reinecke, Andrea, additional, Ringlein, Grace, additional, Rjabtsenkov, Pavel, additional, Roelofs, Karin, additional, Salas, Ramiro, additional, Salum, Giovanni, additional, Satterthwaite, Theodore D., additional, Schrammen, Elisabeth, additional, Sindermann, Lisa, additional, Smoller, Jordan, additional, Soares, Jair, additional, Stark, Rudolf, additional, Stein, Frederike, additional, straube, thomas, additional, Straube, Benjamin, additional, Strawn, Jeffrey, additional, Suarez-Jimenez, Benjamin, additional, Sylvester, Chad M., additional, Talati, Ardesheer, additional, Thomopoulos, Sophia I, additional, Tükel, Raşit, additional, van Nieuwenhuizen, Helena, additional, Werwath, Katy E., additional, Wittfeld, Katharina, additional, Wright, Barry, additional, Wu, Mon-Ju, additional, Yang, Yunbo, additional, Zilverstand, Anna, additional, Zwanzger, Peter, additional, Blackford, Jennifer, additional, Avery, Suzanne, additional, Clauss, Jacqueline, additional, Lueken, Ulrike, additional, Thompson, Paul, additional, Pine, Daniel, additional, Stein, Dan J., additional, van der Wee, Nic, additional, Veltman, Dick, additional, and Aghajani, Moji, additional

Published
2022
Full Text
View/download PDF

29. Temporal Sequence of Hemispheric Network Activation during Semantic Processing: A Functional Network Connectivity Analysis

Author

Assaf, Michal, Jagannathan, Kanchana, and Calhoun, Vince

Abstract

To explore the temporal sequence of, and the relationship between, the left and right hemispheres (LH and RH) during semantic memory (SM) processing we identified the neural networks involved in the performance of functional MRI semantic object retrieval task (SORT) using group independent component analysis (ICA) in 47 healthy individuals. SORT requires participants to determine whether word pairs describing object features combine to retrieve an object. Functional network connectivity (FNC) was used to assess the correlations between components' time courses. Results showed that semantic left and right hemisphere networks comprise two independent ICA components. The components' time courses were highly correlated and RH activation preceded that of the LH. Moreover, this correlation was significantly stronger in better vs. poorer performers of the SORT. These results indicate an early activation of the RH that is closely followed by activation of the LH, to facilitate performance during word retrieval from SM. (Contains 2 tables and 2 figures.)

Published
2009
Full Text
View/download PDF

45. Effects of weather and season on human brain volume

Author

Book, Gregory A., primary, Meda, Shashwath A., additional, Janssen, Ronald, additional, Dager, Alecia D., additional, Poppe, Andrew, additional, Stevens, Michael C., additional, Assaf, Michal, additional, Glahn, David, additional, and Pearlson, Godfrey D., additional

Published
2021
Full Text
View/download PDF

50. Effects of Weather and Season on Human Brain Volume

Author

Book, Gregory A., primary, Meda, Shashwath A., additional, Janssen, Ronald, additional, Dager, Alecia D., additional, Poppe, Andrew, additional, Stevens, Michael C., additional, Assaf, Michal, additional, Glahn, David, additional, and Pearlson, Godfrey D., additional

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results