Article
Anatomy & Morphology
Firat Soylu, Kaitlyn May, Rajesh Kana
Summary: This study investigated white matter volume and gray matter volume differences between autistic and nonautistic samples, and their relationships with age and theory of mind (ToM) skills. The results showed widespread differences in both gray and white matter volumes between the two groups in regions crucial for social processes. The autistic group exhibited different correlations between age and structural changes compared to the nonautistic group, suggesting abnormalities in developmental structural changes. Additionally, differences were found in how gray and white matter volumes relate to ToM skills, particularly in the left frontal regions and cingulate/corpus callosum, respectively. The left insula was identified as a crucial region distinguishing ToM performance between the two groups.
BRAIN STRUCTURE & FUNCTION
(2023)
Article
Neurosciences
Marissa DiPiero, Hassan Cordash, Molly B. Prigge, Carolyn K. King, Jubel Morgan, Jose Guerrero-Gonzalez, Nagesh Adluru, Jace B. King, Nicholas Lange, Erin D. Bigler, Brandon A. Zielinski, Andrew L. Alexander, Janet E. Lainhart, Douglas C. Dean
Summary: All diffusion MRI measures showed significant associations with age across white matter and gray matter. Significant group differences were observed in both white matter and gray matter. There were no significant age-by-group interactions detected. Within the ASD group, positive relationships were found between white matter microstructure and ADOS-2 Calibrated Severity Scores. The findings provide new insights into group differences of white matter and gray matter microstructure in autistic males from adolescence into adulthood, contributing to a better understanding of brain-behavior relationships of ASD.
FRONTIERS IN NEUROSCIENCE
(2023)
Review
Psychiatry
Carolin Spindler, Louisa Mallien, Sebastian Trautmann, Nina Alexander, Markus Muehlhan
Summary: White matter (WM) alterations are significant in patients with alcohol use disorder (AUD), and these changes may contribute to motor, cognitive, affective, and perceptual impairments. However, further research is needed to understand the variations of WM alterations over the course of the disorder and their reversibility with prolonged abstinence.
TRANSLATIONAL PSYCHIATRY
(2022)
Article
Geriatrics & Gerontology
Shanshan Cao, Jiajia Nie, Jun Zhang, Chen Chen, Xiaojing Wang, Yuanyuan Liu, Yuting Mo, Baogen Du, Yajuan Hu, Yanghua Tian, Qiang Wei, Kai Wang
Summary: Our study found that CSVD patients with WMHs had reduced gray matter volume and functional connectivity in the cerebellum, which were associated with cognitive impairment. This suggests that the cerebellum may have a crucial role in modulating cognitive function in CSVD patients with WMHs.
FRONTIERS IN AGING NEUROSCIENCE
(2021)
Article
Neurosciences
Feng-Yi Su, Jyun-Ru Chen, Chun-Ming Chen, Yen-Chih Huang, Shin-Lei Peng
Summary: This study identified patterns of gray matter volume changes with age in a young population, highlighting the influence of field strength on results and the importance of considering this factor when comparing brain differences across studies.
Article
Psychiatry
Charles Okanda Nyatega, Li Qiang, Mohammed Jajere Adamu, Halima Bello Kawuwa
Summary: This study compared anatomical brain differences between PD patients and healthy controls using voxel-based morphometry (VBM). The results showed that PD patients had lower gray matter volumes in certain brain regions, lower white matter volumes in specific areas, and higher cerebrospinal fluid levels in a particular region compared to controls.
FRONTIERS IN PSYCHIATRY
(2022)
Article
Neurosciences
Ting Mei, Natalie J. Forde, Dorothea L. Floris, Flavio Dell'Acqua, Richard Stones, Iva Ilioska, Sarah Durston, Carolin Moessnang, Tobias Banaschewski, Rosemary J. Holt, Simon Baron-Cohen, Annika Rausch, Eva Loth, Bethany Oakley, Tony Charman, Christine Ecker, Declan G. M. Murphy, Christian F. Beckmann, Alberto Llera, Jan K. Buitelaar
Summary: The study utilized integrated analysis of GM and WM alterations to demonstrate brain mechanisms underlying autism, showing that certain brain patterns were significantly associated with autism symptoms.
BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING
(2023)
Article
Neurosciences
Huai-Bin Liang, Liao Dong, Yangyang Cui, Jing Wu, Wei Tang, Xiaoxia Du, Jian-Ren Liu
Summary: This study found significant structural changes and changes in functional connectivity (FC) patterns in the posterior cerebellar lobe of patients with somatic symptom disorder (SSD). These findings provide new insights into the psychological and neural substrates of SSD and may serve as a potential treatment target.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Sally C. Chester, Tatsuyoshi Ogawa, Maki Terao, Ryusuke Nakai, Nobuhito Abe, Stephane A. De Brito
Summary: This study investigated the neuroanatomical correlates of psychopathic traits in a Japanese sample using structural magnetic resonance imaging data. The results showed associations between psychopathic traits and gray matter volume as well as gyrification in specific brain regions. The associations varied based on sex and different levels of psychopathy factors.
Article
Neurosciences
Lilian M. Mennink, Elouise A. Koops, Dave R. M. Langers, Marlien W. Aalbers, J. Marc C. van Dijk, Pim van Dijk
Summary: This study investigated the relationship between tinnitus and the cerebellum in healthy participants. The results showed that there was no relationship between the gray matter volume of the (P)FL-complex or other cerebellar lobules and the presence and severity of tinnitus in healthy participants.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Genetics & Heredity
Chun-Hung Yeh, Rung-Yu Tseng, Hsing-Chang Ni, Luca Cocchi, Jung-Chi Chang, Mei-Yun Hsu, En-Nien Tu, Yu-Yu Wu, Tai-Li Chou, Susan Shur-Fen Gau, Hsiang-Yuan Lin
Summary: This study aims to provide a comprehensive understanding of white matter alterations in individuals with autism spectrum disorder (ASD), particularly those with intellectual impairment (II) and/or minimally verbal (MV) status. The results suggest that ASD patients show specific white matter changes that are associated with symptoms and cognitive abilities.
Article
Behavioral Sciences
Guan-Jye Seng, Meng-Chuan Lai, Joshua Oon Soo Goh, Wen-Yih Issac Tseng, Susan Shur-Fen Gau
Summary: The present study found alterations in parietal, temporal, and cerebellar gray matter volume in autistic youth with higher insistence on sameness. The findings suggest that insistence on sameness may be a useful feature to parse the heterogeneity of the autism spectrum, yet further research investigating the underlying neurocognitive mechanism is warranted.
Review
Clinical Neurology
Xiang Huang, Junyu Lin, Huifang Shang, Jing Yang
Summary: In this study, a meta-analysis was conducted to investigate gray matter changes in patients with idiopathic dystonia. The results showed consistent widespread gray matter abnormalities in various brain regions. These abnormalities were shared among different subtypes of idiopathic dystonia and were not limited to the corticostriatal circuits.
JOURNAL OF NEUROLOGY
(2022)
Article
Psychiatry
Stuart B. Murray, Christina J. Duval, Ane A. Balkchyan, Ryan P. Cabeen, Jason M. Nagata, Arthur W. Toga, Steven J. Siegel, Kay Jann
Summary: Early-onset binge eating disorder (BED) may be characterized by diffuse morphological abnormalities in gray matter density, suggesting alterations in cortical architecture which may reflect decreased synaptic pruning and arborization, or decreased myelinated fibers and therefore inter-regional afferents.
PSYCHIATRY RESEARCH
(2022)
Article
Neurosciences
Mahsa Dadar, Olivier Potvin, Richard Camicioli, Simon Duchesne
Summary: The study investigated the impact of white matter hyperintensities (WMHs) on FreeSurfer gray matter (GM) structure volumes, finding higher overlaps of WMHs with GM volumes in several brain structures for participants with higher WMH volumes. Uncorrected caudate volumes increased with age, with no difference between cognitively healthy individuals and probable Alzheimer's disease patients. However, after correcting for WMHs, caudate volumes decreased with age and Alzheimer's disease patients had lower caudate volumes than cognitively healthy individuals. The presence of WMHs can lead to systematic inaccuracies in GM segmentations and change clinical associations, affecting cognitive performance assessments.
HUMAN BRAIN MAPPING
(2021)
Review
Neurosciences
Martine Hoogman, Daan van Rooij, Marieke Klein, Premika Boedhoe, Iva Ilioska, Ting Li, Yash Patel, Merel C. Postema, Yanli Zhang-James, Evdokia Anagnostou, Celso Arango, Guillaume Auzias, Tobias Banaschewski, Claiton H. D. Bau, Marlene Behrmann, Mark A. Bellgrove, Daniel Brandeis, Silvia Brem, Geraldo F. Busatto, Sara Calderoni, Rosa Calvo, Francisco X. Castellanos, David Coghill, Annette Conzelmann, Eileen Daly, Christine Deruelle, Ilan Dinstein, Sarah Durston, Christine Ecker, Stefan Ehrlich, Jeffery N. Epstein, Damien A. Fair, Jacqueline Fitzgerald, Christine M. Freitag, Thomas Frodl, Louise Gallagher, Eugenio H. Grevet, Jan Haavik, Pieter J. Hoekstra, Joost Janssen, Georgii Karkashadze, Joseph A. King, Kerstin Konrad, Jonna Kuntsi, Luisa Lazaro, Jason P. Lerch, Klaus-Peter Lesch, Mario R. Louza, Beatriz Luna, Paulo Mattos, Jane McGrath, Filippo Muratori, Clodagh Murphy, Joel T. Nigg, Eileen Oberwelland-Weiss, Ruth L. O'Gorman Tuura, Kirsten O'Hearn, Jaap Oosterlaan, Mara Parellada, Paul Pauli, Kerstin J. Plessen, J. Antoni Ramos-Quiroga, Andreas Reif, Liesbeth Reneman, Alessandra Retico, Pedro G. P. Rosa, Katya Rubia, Philip Shaw, Tim J. Silk, Leanne Tamm, Oscar Vilarroya, Susanne Walitza, Neda Jahanshad, Stephen Faraone, Clyde Francks, Odile A. van den Heuvel, Tomas Paus, Paul M. Thompson, Jan K. Buitelaar, Barbara Franke
Summary: Neuroimaging has been extensively used to study brain structure and function in individuals with ADHD and ASD. However, there have been limitations in the current literature, such as small sample sizes and heterogeneous methods. To address these limitations, the ENIGMA-ADHD and ENIGMA-ASD working groups were established to collaborate on large-scale neuroimaging projects. The findings so far have shown overlap and unique differences in cortical structures between ASD and ADHD. Ongoing work is exploring other research questions.
HUMAN BRAIN MAPPING
(2022)
Review
Neurosciences
Xiang-Zhen Kong, Merel C. Postema, Tulio Guadalupe, Carolien de Kovel, Premika S. W. Boedhoe, Martine Hoogman, Samuel R. Mathias, Daan van Rooij, Dick Schijven, David C. Glahn, Sarah E. Medland, Neda Jahanshad, Sophia Thomopoulos, Jessica A. Turner, Jan Buitelaar, Theo G. M. van Erp, Barbara Franke, Simon E. Fisher, Odile A. van den Heuvel, Lianne Schmaal, Paul M. Thompson, Clyde Francks
Summary: Left-right asymmetry of the human brain is associated with psychiatric disorders, but previous research findings have been inconsistent. The ENIGMA-Laterality Working Group conducted large-scale studies and mapped the average asymmetry in healthy brains. They also found associations between brain asymmetry and age, sex, handedness, and brain volume. Moreover, they identified subtle changes in cortical thickness asymmetry in autism spectrum disorder and altered subcortical asymmetry in pediatric obsessive-compulsive disorder.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Tiffany C. Ho, Boris Gutman, Elena Pozzi, Hans J. Grabe, Norbert Hosten, Katharina Wittfeld, Henry Voelzke, Bernhard Baune, Udo Dannlowski, Katharina Foerster, Dominik Grotegerd, Ronny Redlich, Andreas Jansen, Tilo Kircher, Axel Krug, Susanne Meinert, Igor Nenadic, Nils Opel, Richard Dinga, Dick J. Veltman, Knut Schnell, Ilya Veer, Henrik Walter, Ian H. Gotlib, Matthew D. Sacchet, Andre Aleman, Nynke A. Groenewold, Dan J. Stein, Meng Li, Martin Walter, Christopher R. K. Ching, Neda Jahanshad, Anjanibhargavi Ragothaman, Dmitry Isaev, Artemis Zavaliangos-Petropulu, Paul M. Thompson, Philipp G. Saemann, Lianne Schmaal
Summary: This study investigated the differences in subcortical shape between patients with major depressive disorder (MDD) and healthy controls. The results showed that both adolescent-onset MDD and recurrent MDD patients had lower thickness and surface area in certain subcortical regions compared to healthy controls.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Artemis Zavaliangos-Petropulu, Meral A. Tubi, Elizabeth Haddad, Alyssa Zhu, Meredith N. Braskie, Neda Jahanshad, Paul M. Thompson, Sook-Lei Liew
Summary: As stroke mortality rates decrease, research on poststroke dementia (PSD) is increasing. This study compared different methods for hippocampal segmentation in stroke populations and found that Hippodeep, a convolutional neural network-based method, performed better than other methods, suggesting its potential utility in stroke research.
HUMAN BRAIN MAPPING
(2022)
Article
Psychology, Multidisciplinary
Jala Rizeq, Daphne J. Korczak, Katherine Tombeau Cost, Evdokia Anagnostou, Alice Charach, Suneeta Monga, Catherine S. Birken, Elizabeth Kelley, Rob Nicolson, Christie L. Burton, Jennifer Crosbie
Summary: This study examined the pathways from pre-existing psychosocial and economic vulnerability to mental health difficulties and stress in families during the COVID-19 pandemic. The results showed that psychosocial and economic vulnerability increased the risk of material deprivation, leading to parent and child stress and mental health difficulties due to COVID-19 restrictions. There were reciprocal effects between increased child and parent stress and greater mental health difficulties over time within families. The study highlights the importance of addressing psychosocial and economic vulnerability in prevention policies and parent and child mental health services during the pandemic.
CURRENT PSYCHOLOGY
(2023)
Article
Pediatrics
Marina Charalampopoulou, Eun Jung Choi, Daphne J. Korczak, Katherine T. Cost, Jennifer Crosbie, Catherine S. Birken, Alice Charach, Suneeta Monga, Elizabeth Kelley, Rob Nicolson, Stelios Georgiades, Muhammad Ayub, Russell J. Schachar, Alana Iaboni, Evdokia Anagnostou
Summary: This study aimed to investigate the mental health changes of autistic children in Canada during the COVID-19 pandemic and explore the associated factors. The results showed that over half of autistic children experienced a decline in mental health, which was associated with child-specific, parent-specific, and system-level factors.
PAEDIATRICS & CHILD HEALTH
(2022)
Article
Psychology, Multidisciplinary
Kristina Safar, Marlee M. Vandewouw, Elizabeth W. Pang, Kathrina de Villa, Jennifer Crosbie, Russell Schachar, Alana Iaboni, Stelios Georgiades, Robert Nicolson, Elizabeth Kelley, Muhammed Ayub, Jason P. Lerch, Evdokia Anagnostou, Margot J. Taylor
Summary: This study investigated the functional connectivity of children with ASD, ADHD, and TD during emotion processing and found impairments in emotion face processing in both ASD and ADHD. These impairments were related to the severity of diagnosis-specific symptoms. The study also identified distinct subgroups within the ASD and ADHD groups, highlighting the high degree of comorbidity and symptom overlap between these neurodevelopmental disorders.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Education, Special
Samantha E. Schulz, Elizabeth Kelley, Evdokia Anagnostou, Rob Nicolson, Stelios Georgiades, Jennifer Crosbie, Russell Schachar, Muhammad Ayub, Ryan A. Stevenson
Summary: This study compared sensory processing patterns and explored their association with behavioral outcomes in individuals with typical development, autism, and ADHD. The results showed significant differences in sensory processing patterns between diagnosed and undiagnosed participants, and these patterns predicted behavioral outcomes. This suggests that understanding sensory processing is crucial for comprehensively understanding behavioral patterns in various clinical populations.
ADVANCES IN NEURODEVELOPMENTAL DISORDERS
(2023)
Article
Psychology, Clinical
Russell J. Schachar, Annie Dupuis, Paul D. Arnold, Evdokia Anagnostou, Elizabeth Kelley, Stelios Georgiades, Robert Nicolson, Parker Townes, Christie L. Burton, Jennifer Crosbie
Summary: ADHD and ASD are commonly occurring neurocognitive impairments, and previous studies have found that both disorders are associated with impaired response inhibition and sustained attention. However, in this study, it was found that the neurocognitive impairments in ASD were mainly accounted for by comorbid ADHD.
RESEARCH ON CHILD AND ADOLESCENT PSYCHOPATHOLOGY
(2023)
Article
Neurosciences
Elizabeth Haddad, Fabrizio Pizzagalli, Alyssa H. Zhu, Ravi R. Bhatt, Tasfiya Islam, Iyad Ba Gari, Daniel Dixon, Sophia I. Thomopoulos, Paul M. Thompson, Neda Jahanshad
Summary: Automatic neuroimaging processing tools provide convenient and systematic methods for extracting features from brain magnetic resonance imaging scans. In this study, the reliability and compatibility of regional morphometric metrics derived from different versions of FreeSurfer were empirically assessed using test-retest data. The results showed lower compatibility between the latest version and older versions in terms of cortical thickness, surface area, and subcortical volumes. Replication studies in an independent sample confirmed these findings. The study highlights the importance of considering version-related inconsistencies in published findings.
HUMAN BRAIN MAPPING
(2023)
Article
Behavioral Sciences
Kimberley C. Tsujimoto, Katherine Tombeau Cost, Kaitlyn Laforge-Mackenzie, Evdokia Anagnostou, Catherine S. Birken, Alice Charach, Suneeta Monga, Elizabeth Kelley, Rob Nicolson, Stelios Georgiadis, Nicole Lee, Konstantin Osokin, Christie Burton, Jennifer Crosbie, Daphne Korczak
Summary: Few studies have investigated the impact of nonacademic factors in the school environment on child and youth mental health during the pandemic. This study found that school importance, adapting to public health measures, and school connectedness were associated with mental health outcomes in children.
JOURNAL OF DEVELOPMENTAL AND BEHAVIORAL PEDIATRICS
(2023)
Article
Computer Science, Artificial Intelligence
Haoteng Tang, Lei Guo, Xiyao Fu, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan
Summary: MRI-derived brain networks are widely used to understand interactions among brain regions and their relationships with brain development and diseases. Graph mining on these networks can help discover biomarkers for clinical phenotypes and neurodegenerative diseases. Most current studies focus on projecting structural networks onto functional networks to extract a fused representation.
MEDICAL IMAGE ANALYSIS
(2023)
Article
Multidisciplinary Sciences
Chenzhong Yin, Phoebe Imms, Mingxi Cheng, Anar Amgalan, Nahian F. Chowdhury, Roy J. Massett, Nikhil N. Chaudhari, Xinghe Chen, Paul M. Thompson, Paul Bogdan, Andrei Irimia
Summary: This study introduces a convolutional neural network (CNN) to estimate brain age (BA) from magnetic resonance images (MRIs) and achieves lower estimation errors compared to previous studies. The CNN provides detailed brain aging maps that reveal sex differences and neurocognitive trajectories in individuals with mild cognitive impairment (MCI) and Alzheimer's disease (AD). BA is shown to capture dementia symptom severity, functional disability, and executive function better than chronological age (CA) in individuals with MCI. The proposed framework can systematically map the relationship between aging-related neuroanatomy changes and neurocognitive measures in both cognitively normal individuals and those with MCI or AD, aiding in early identification of AD risk.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Article
Genetics & Heredity
Bethany Vibert, Patricia Segura, Louise Gallagher, Stelios Georgiades, Panagiota Pervanidou, Audrey Thurm, Lindsay Alexander, Evdokia Anagnostou, Yuta Aoki, Catherine S. Birken, Somer L. Bishop, Jessica Boi, Carmela Bravaccio, Helena Brentani, Paola Canevini, Alessandra Carta, Alice Charach, Antonella Costantino, Katherine T. Cost, Elaine A. Cravo, Jennifer Crosbie, Chiara Davico, Federica Donno, Junya Fujino, Alessandra Gabellone, Cristiane T. Geyer, Tomoya Hirota, Stephen Kanne, Makiko Kawashima, Elizabeth Kelley, Hosanna Kim, Young Shin Kim, So Hyun Kim, Daphne J. Korczak, Meng-Chuan Lai, Lucia Margari, Lucia Marzulli, Gabriele Masi, Luigi Mazzone, Jane McGrath, Suneeta Monga, Paola Morosini, Shinichiro Nakajima, Antonio Narzisi, Rob Nicolson, Aki Nikolaidis, Yoshihiro Noda, Kerri Nowell, Miriam Polizzi, Joana Portolese, Maria Pia Riccio, Manabu Saito, Ida Schwartz, Anish K. Simhal, Martina Siracusano, Stefano Sotgiu, Jacob Stroud, Fernando Sumiya, Yoshiyuki Tachibana, Nicole Takahashi, Riina Takahashi, Hiroki Tamon, Raffaella Tancredi, Benedetto Vitiello, Alessandro Zuddas, Bennett Leventhal, Kathleen Merikangas, Michael P. Milham, Adriana Di Martino
Summary: The study examined the impact of the COVID-19 pandemic on youth with autism spectrum disorder and related neurodevelopmental disorders, revealing heterogeneity in symptoms and access to services. The findings can inform recovery efforts and emphasize the importance of international data-sharing and collaborations in addressing the needs of vulnerable populations during crises.
Article
Psychology, Clinical
Sarah Whittle, Divyangana Rakesh, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson, Aditya Singh, Ali Saffet Gonul, Andre Aleman, Aslihan Uyar Demir, Axel Krug, Benson Mwangi, Bernd Kramer, Bernhard T. Baune, Dan J. Stein, Dominik Grotegerd, Edith Pomarol-Clotet, Elena Rodriguez-Cano, Elisa Melloni, Francesco Benedetti, Frederike Stein, Hans J. Grabe, Henry Volzke, Ian H. Gotlib, Igor Nenadic, Jair C. Soares, Jonathan Repple, Kang Sim, Katharina Brosch, Katharina Wittfeld, Klaus Berger, Marco Hermesdorf, Maria J. Portella, Matthew D. Sacchet, Mon-Ju Wu, Nils Opel, Nynke A. Groenewold, Oliver Gruber, Paola Fuentes-Claramonte, Raymond Salvador, Roberto Goya-Maldonado, Salvador Sarro, Sara Poletti, Susanne L. Meinert, Tilo Kircher, Udo Dannlowski, Elena Pozzi
Summary: Findings from this study suggest that the interaction between brain structure and educational attainment plays a role in predicting major depressive disorder. Thicker cortex in certain brain regions is more likely to predict depression in individuals with low educational attainment, while it is less likely to do so in individuals with high educational attainment. These findings highlight the complex interplay between biological and environmental factors in the development of depression.
JOURNAL OF PSYCHOPATHOLOGY AND CLINICAL SCIENCE
(2022)