Article
Geriatrics & Gerontology
Mark A. Fraser, Erin I. Walsh, Marnie E. Shaw, Walter P. Abhayaratna, Kaarin J. Anstey, Perminder S. Sachdev, Nicolas Cherbuin
Summary: Understanding heterogeneity in brain aging trajectories is crucial for optimizing aging outcomes. This study investigated hippocampal changes in middle-aged and older individuals, finding different rates of volume decrease in different age groups. Men experienced steeper declines in middle age, while a subgroup of older participants maintained stable volumes.
NEUROBIOLOGY OF AGING
(2021)
Article
Geriatrics & Gerontology
Sameera A. Talegawkar, Yichen Jin, Qian-Li Xue, Toshiko Tanaka, Eleanor M. Simonsick, Katherine L. Tucker, Luigi Ferrucci
Summary: This study found that improving diet quality in middle age may contribute to better physical function in older age. The results showed an association between dietary trajectories improvement and subsequent improvement in physical function.
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES
(2021)
Article
Geriatrics & Gerontology
Zaixing Shi, Zeyun Zhang, Kanglin Shi, Bohan Yu, Zhongquan Jiang, Li Yang, Jianlin Lin, Ya Fang
Summary: This study identified distinct trajectory groups of multimorbidity among mid to older age adults, with the comorbid of cardiometabolic and brain diseases showing the most significant association with an increased risk of disability. The findings improve our understanding of multimorbidity patterns that impact independence in living and inform strategies for primary prevention of disability.
Article
Psychiatry
Markus Wettstein, Anna E. Kornadt, Hans-Werner Wahl
Summary: This study investigates how people's awareness of age-related changes changes over time and its interrelation with different domains. The study finds that age, personality traits, and age stereotypes are related to individuals' perception of age-related gains and losses.
FRONTIERS IN PSYCHIATRY
(2022)
Article
Public, Environmental & Occupational Health
Haihong Liu, Xiaolei Zhang, Haining Liu, Sheau Tsuey Chong
Summary: This study aimed to predict cognitive impairment and identify important predictors using machine learning. The results showed that random forest models had higher accuracy in predicting cognitive impairment compared to logistic regression. Baseline physical examination, biomarkers, functioning, demography, and emotional status were identified as important predictors.
INTERNATIONAL JOURNAL OF PUBLIC HEALTH
(2023)
Article
Neurosciences
Samantha L. Gardener, Michael Weinborn, Hamid R. Sohrabi, James D. Doecke, Pierrick Bourgeat, Stephanie R. Rainey-Smith, Kai-kai Shen, Jurgen Fripp, Kevin Taddei, Paul Maruff, Olivier Salvado, Greg Savage, David Ames, Colin L. Masters, Christopher C. Rowe, Ralph N. Martins
Summary: The study found no significant differences in rates of thinning or volume atrophy between older adults with superior cognitive performance (SCP) and typical older adults (TOAs), even after adjusting for multiple comparisons and limiting the analysis to amyloid-beta negative individuals. The increased methodological rigor in classifying groups and the influence of cognitive reserve were discussed as potential factors influencing the findings compared to existing literature on SCP.
JOURNAL OF ALZHEIMERS DISEASE
(2021)
Article
Anatomy & Morphology
Shan Li, Na An, Nan Chen, Yin Wang, Lin Yang, Yalin Wang, Zhijun Yao, Bin Hu
Summary: The enlargement of ventricular volume is a common trend in the elderly, especially in AD patients. A study investigated the impact of AD susceptibility loci on the surface features of the lateral ventricle and found that variations in these loci significantly accelerated the atrophy of the lateral ventricle. The study also revealed negative correlations between cognitive scores and various regions of the ventricular surface, supporting the importance of the lateral ventricle in cognition in the elderly.
BRAIN STRUCTURE & FUNCTION
(2022)
Article
Geriatrics & Gerontology
Yafei Wu, Chaoyi Xiang, Maoni Jia, Ya Fang
Summary: This study explores the heterogeneous disability trajectories among elderly Chinese at the community level and constructs explainable machine learning models for effective prediction of long-term disability trajectories and understanding the mechanisms of predictions. The findings suggest that machine learning shows good performance in predicting disability trajectories and provides a basis for personalized intervention measures.
Article
Multidisciplinary Sciences
Kyung-Yeon Lee, Hack-Lyoung Kim, Kyung-Jin Kim
Summary: This study found that global longitudinal strain (GLS) is an important indicator for assessing subclinical myocardial dysfunction. The effect of aging on left ventricular dysfunction differs between males and females, with females having a higher risk of decreased GLS as they age.
SCIENTIFIC REPORTS
(2023)
Article
Geriatrics & Gerontology
Jonathan K. L. Mak, Ralf Kuja-Halkola, Ge Bai, Linda B. Hassing, Nancy L. Pedersen, Sara Hagg, Juulia Jylhava, Chandra A. Reynolds
Summary: Using data from Swedish twin cohort studies, this research investigates the longitudinal trajectories of frailty in late life and the contributions of genes and environment. The study finds that the heterogeneity of frailty in late life is mainly attributable to environmental influences, highlighting the importance of targeting environmental risk factors to mitigate frailty in older adults.
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Haizhu Mo, Wen Liang, Zhousan Huang, Xiaodan Li, Xiang Xiao, Hao Liu, Jianming He, Yikai Xu, Yuankui Wu
Summary: The machine learning radiomics model based on multiparametric MRI showed better performance for distinguishing central neurocytomas from lateral ventricular gliomas than did experienced radiologists, and it showed the potential to improve radiologist performance.
EUROPEAN RADIOLOGY
(2023)
Article
Clinical Neurology
Qu Tian, Yang An, Melissa H. Kitner-Triolo, Christos Davatzikos, Stephanie A. Studenski, Luigi Ferrucci, Susan M. Resnick
Summary: This study examines the longitudinal associations between olfaction and changes in brain volumes and neuropsychological function in older adults. The findings suggest that olfaction is related to brain atrophy in specific brain regions and neuropsychological changes over time.
Article
Psychiatry
Yafei Wu, Maoni Jia, Chaoyi Xiang, Shaowu Lin, Zhongquan Jiang, Ya Fang
Summary: This study aimed to explore the long-term cognitive trajectories and its determinants among older adults in China, and construct prediction models for identifying high-risk populations with unfavorable cognitive trajectories. Two distinct trajectories were identified: intact cognitive functioning and dementia. Factors such as older age, female gender, Han ethnicity, no schooling, rural residence, low-frequency leisure activities, and low baseline functioning were associated with a rapid decline in cognitive function. Machine learning algorithms performed well in predicting cognitive trajectories, with age and psychological well-being being key predictors.
PSYCHIATRY RESEARCH
(2022)
Article
Geriatrics & Gerontology
Ying Xia, Paul Maruff, Vincent Dore, Pierrick Bourgeat, Simon M. Laws, Christopher Fowler, Stephanie R. Rainey-Smith, Ralph N. Martins, Victor L. Villemagne, Christopher C. Rowe, Colin L. Masters, Elizabeth J. Coulson, Jurgen Fripp
Summary: Dysfunction of the cholinergic basal forebrain system and amyloid-beta deposition are early pathological features in Alzheimer's disease. This study found that Aβ is associated with volume loss in the BF and hippocampus, and the effect varies within BF subregions. The degeneration of BF subregions during early AD also shows distinctive characteristics.
NEUROBIOLOGY OF AGING
(2023)
Article
Engineering, Marine
Damjan Bujak, Tonko Bogovac, Dalibor Carevic, Suzana Ilic, Goran Loncar
Summary: This study successfully predicts the spatial variability of nourishment requirements on the Croatian coast using artificial neural networks (ANNs), with R and MSE values of 0.87 and 2.24 x 10(4) for the test set. Fetch length and beach orientation were found to be the most important parameters contributing to the ANN's predictive ability, as they govern wind wave height and direction, acting as proxies for forcing.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Psychology, Developmental
Astri J. Lundervold, Henna Vartiainen, Daniel Jensen, Jan Haavik
Summary: This study examined the test-retest reliability of WURS-25 and factors influencing adults with ADHD retrospective reports of childhood behavior. The results showed a strong correlation between WURS-25 scores at two time points and highlighted the significant impact of current ADHD symptoms on the WURS scores.
JOURNAL OF ATTENTION DISORDERS
(2021)
Article
Clinical Neurology
Rune H. Karlsen, Justin E. Karr, Simen B. Saksvik, Astri J. Lundervold, Odin Hjemdal, Alexander Olsen, Grant L. Iverson, Toril Skandsen
Summary: The Cambridge Neuropsychological Test Automated Battery (CANTAB) is a commonly used computerized neuropsychological test battery in Europe. This study examined the test-retest reliability of CANTAB and developed reliable change indices and formulas for repeated measurements. The study found significant practice effects in certain aspects of cognitive function, but only a few tests showed adequate test-retest reliability. The findings suggest that large changes in performance are needed to interpret a change score as reliable.
APPLIED NEUROPSYCHOLOGY-ADULT
(2022)
Review
Neurosciences
Ida E. Sonderby, Christopher R. K. Ching, Sophia I. Thomopoulos, Dennis van Der Meer, Daqiang Sun, Julio E. Villalon-Reina, Ingrid Agartz, Katrin Amunts, Celso Arango, Nicola J. Armstrong, Rosa Ayesa-Arriola, Geor Bakker, Anne S. Bassett, Dorret I. Boomsma, Robin Bulow, Nancy J. Butcher, Vince D. Calhoun, Svenja Caspers, Eva W. C. Chow, Sven Cichon, Simone Ciufolini, Michael C. Craig, Benedicto Crespo-Facorro, Adam C. Cunningham, Anders M. Dale, Paola Dazzan, Greig I. de Zubicaray, Srdjann Djurovic, Joanne L. Doherty, Gary Donohoe, Bogdan Draganski, Courtney A. Durdle, Stefan Ehrlich, Beverly S. Emanuel, Thomas Espeseth, Simon E. Fisher, Tian Ge, David C. Glahn, Hans J. Grabe, Raquel E. Gur, Boris A. Gutman, Jan Haavik, Asta K. Haberg, Laura A. Hansen, Ryota Hashimoto, Derrek P. Hibar, Avram J. Holmes, Jouke-Jan Hottenga, Hilleke E. Hulshoff Pol, Maria Jalbrzikowski, Emma E. M. Knowles, Leila Kushan, David E. J. Linden, Jingyu Liu, Astri J. Lundervold, Sandra Martin-Brevet, Kenia Martinez, Karen A. Mather, Samuel R. Mathias, Donna M. McDonald-McGinn, Allan F. McRae, Sarah E. Medland, Torgeir Moberget, Claudia Modenato, Jennifer Monereo Sanchez, Clara A. Moreau, Thomas W. Muhleisen, Tomas Paus, Zdenka Pausova, Carlos Prieto, Anjanibhargavi Ragothaman, Celine S. Reinbold, Tiago Reis Marques, Gabriela M. Repetto, Alexandre Reymond, David R. Roalf, Borja Rodriguez-Herreros, James J. Rucker, Perminder S. Sachdev, James E. Schmitt, Peter R. Schofield, Ana I. Silva, Hreinn Stefansson, Dan J. Stein, Christian K. Tamnes, Diana Tordesillas-Gutierrez, Magnus O. Ulfarsson, Ariana Vajdi, Dennis van 't Ent, Marianne B. M. van den Bree, Evangelos Vassos, Javier Vazquez-Bourgon, Fidel Vila-Rodriguez, G. Bragi Walters, Wei Wen, Lars T. Westlye, Katharina Wittfeld, Elaine H. Zackai, Kari Stefansson, Sebastien Jacquemont, Paul M. Thompson, Carrie E. Bearden, Ole A. Andreassen
Summary: The ENIGMA-CNV and 22q-ENIGMA WGs aim to investigate the effects of CNVs on brain structures, with findings showing differences in cognitive, neurodevelopmental, and neuropsychiatric traits as well as characteristic patterns of brain structural abnormalities. The genotype-first approach provides insights into the etiopathogenesis of brain disorders, and future directions include further understanding the impacts of CNVs on brain structure and behavior.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Yash Patel, Jean Shin, Christoph Abe, Ingrid Agartz, Clara Alloza, Dag Alnaes, Sonia Ambrogi, Linda A. Antonucci, Celso Arango, Volker Arolt, Guillaume Auzias, Rosa Ayesa-Arriola, Nerisa Banaj, Tobias Banaschewski, Cibele Bandeira, Zeynep Basgoze, Renata Basso Cupertino, Claiton H. D. Bau, Jochen Bauer, Sarah Baumeister, Fabio Bernardoni, Alessandro Bertolino, Caterina del Mar Bonnin, Daniel Brandeis, Silvia Brem, Jason Bruggemann, Robin Bulow, Juan R. Bustillo, Sara Calderoni, Rosa Calvo, Erick J. Canales-Rodriguez, Dara M. Cannon, Susanna Carmona, Vaughan J. Carr, Stanley V. Catts, Sneha Chenji, Qian Hui Chew, David Coghill, Colm G. Connolly, Annette Conzelmann, Alexander R. Craven, Benedicto Crespo-Facorro, Kathryn Cullen, Andreas Dahl, Udo Dannlowski, Christopher G. Davey, Christine Deruelle, Covadonga M. Diaz-Caneja, Katharina Dohm, Stefan Ehrlich, Jeffery Epstein, Tracy Erwin-Grabner, Lisa T. Eyler, Jennifer Fedor, Jacqueline Fitzgerald, William Foran, Judith M. Ford, Lydia Fortea, Paola Fuentes-Claramonte, Janice Fullerton, Lisa Furlong, Louise Gallagher, Bingchen Gao, Si Gao, Jose M. Goikolea, Ian Gotlib, Roberto Goya-Maldonado, Hans J. Grabe, Melissa Green, Eugenio H. Grevet, Nynke A. Groenewold, Dominik Grotegerd, Oliver Gruber, Jan Haavik, Tim Hahn, Ben J. Harrison, Walter Heindel, Frans Henskens, Dirk J. Heslenfeld, Eva Hilland, Pieter J. Hoekstra, Sarah Hohmann, Nathalie Holz, Fleur M. Howells, Jonathan C. Ipser, Neda Jahanshad, Babette Jakobi, Andreas Jansen, Joost Janssen, Rune Jonassen, Anna Kaiser, Vasiliy Kaleda, James Karantonis, Joseph A. King, Tilo Kircher, Peter Kochunov, Sheri-Michelle Koopowitz, Mikael Landen, Nils Inge Landro, Stephen Lawrie, Irina Lebedeva, Beatriz Luna, Astri J. Lundervold, Frank P. MacMaster, Luigi A. Maglanoc, Daniel H. Mathalon, Colm McDonald, Andrew McIntosh, Susanne Meinert, Patricia T. Michie, Philip Mitchell, Ana Moreno-Alcazar, Bryan Mowry, Filippo Muratori, Leila Nabulsi, Igor Nenadic, Ruth O'Gorman Tuura, Jaap Oosterlaan, Bronwyn Overs, Christos Pantelis, Mara Parellada, Jose C. Pariente, Paul Pauli, Giulio Pergola, Francesco Maria Piarulli, Felipe Picon, Fabrizio Piras, Edith Pomarol-Clotet, Clara Pretus, Yann Quide, Joaquim Radua, J. Antoni Ramos-Quiroga, Paul E. Rasser, Andreas Reif, Alessandra Retico, Gloria Roberts, Susan Rossell, Diego Luiz Rovaris, Katya Rubia, Matthew Sacchet, Josep Salavert, Raymond Salvador, Salvador Sarro, Akira Sawa, Ulrich Schall, Rodney Scott, Pierluigi Selvaggi, Tim Silk, Kang Sim, Antonin Skoch, Gianfranco Spalletta, Filip Spaniel, Dan J. Stein, Olaf Steinstrater, Aleks Stolicyn, Yoichiro Takayanagi, Leanne Tamm, Maria Tavares, Alexander Teumer, Katharina Thiel, Sophia I. Thomopoulos, David Tomecek, Alexander S. Tomyshev, Diana Tordesillas-Gutierrez, Michela Tosetti, Anne Uhlmann, Tamsyn Van Rheenen, Javier Vazquez-Bourgon, Meike W. Vernooij, Eduard Vieta, Oscar Vilarroya, Cynthia Weickert, Thomas Weickert, Lars T. Westlye, Heather Whalley, David Willinger, Alexandra Winter, Katharina Wittfeld, Tony T. Yang, Yuliya Yoncheva, Jende L. Zijlmans, Martine Hoogman, Barbara Franke, Daan van Rooij, Jan Buitelaar, Christopher R. K. Ching, Ole A. Andreassen, Elena Pozzi, Dick Veltman, Lianne Schmaal, Theo G. M. van Erp, Jessica Turner, F. Xavier Castellanos, Zdenka Pausova, Paul Thompson, Tomas Paus
Summary: The study found that group differences in cortical area for attention-deficit/hyperactivity disorder, schizophrenia, and Child Behavior Checklist were dominant in multimodal association cortices across 11 cortical regions. These differences were associated with interregional profiles of prenatal cell-specific gene expression, implying that prenatal cell-specific processes may lead to deviations from typical brain development and vulnerability to mental illness. Additionally, genes coexpressed with radial glia and endothelial and mural cells were enriched with genes related to known pre/perinatal risk factors for psychosis, supporting a neurodevelopmental model of mental illness vulnerability.
BIOLOGICAL PSYCHIATRY
(2022)
Article
Psychology, Developmental
Ove Heradstveit, Kristin Gartner Askeland, Tormod Boe, Astri Johansen Lundervold, Irene Bircow Elgen, Jens Christoffer Skogen, Mads Uffe Pedersen, Mari Hysing
Summary: This study found that the risk of substance-related problems in adolescent ADHD patients is mainly linked to co-existing conduct problems, while patients with ADHD alone have a similar risk to adolescents in the general population with mild conduct problem symptoms. Girls with ADHD and high conduct problems are slightly more at risk for substance-related problems compared to boys.
JOURNAL OF ATTENTION DISORDERS
(2022)
Article
Multidisciplinary Sciences
Ingrid Rye, Alexandra Vik, Marek Kocinski, Alexander S. Lundervold, Astri J. Lundervold
Summary: This study used machine learning and longitudinal data to identify the trajectory of Mild Cognitive Impairment (MCI) patients towards Alzheimer's disease (AD). The accuracy of prediction reached about 70% and was consistent across different classification methods and validation procedures. Impaired memory function was found to be a core symptom of MCI patients on a trajectory towards AD. The findings suggest the need for further development of tools to aid clinicians in making prognostic decisions.
SCIENTIFIC REPORTS
(2022)
Article
Geriatrics & Gerontology
Alexandra Vik, Marek Kocinski, Ingrid Rye, Astri J. J. Lundervold, Alexander S. S. Lundervold
Summary: This study used longitudinal data from patients with mild cognitive impairment (MCI) in Alzheimer's disease (AD) and found that daily life functioning, verbal memory, and hippocampus volume were important predictors of MCI conversion to AD. The results showed that even subtle changes in everyday functioning noticed by relatives could be a risk factor for MCI patients progressing to AD.
Article
Medicine, General & Internal
Astri J. J. Lundervold, Eline M. R. Hillestad, Gulen Arslan Lied, Julie Billing, Tina E. E. Johnsen, Elisabeth K. K. Steinsvik, Trygve Hausken, Birgitte Berentsen, Arvid Lundervold
Summary: This study explored the presence of executive function (EF) problems in patients with irritable bowel syndrome (IBS) and identified the relative importance of cognitive features involved in EF. The results showed that patients with IBS reported more severe EF problems compared to healthy controls, especially in working memory function, initiation, cognitive flexibility, and emotional control. The machine-learning model revealed that working memory function, planning, and emotional control were the most important EF features in classifying IBS patients.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Psychology, Developmental
Astri J. Lundervold, Lin Sorensen, Maj-Britt Posserud, Mari Hysing
Summary: This study investigated the persistence of dimensional measures of inattention in a population-based sample of adolescents. The results showed that more severe inattention in boys shifted to a female predominance in adolescence. The weak association between reports of inattention in childhood and adolescence suggests the impact of shifts in informants, gender, and age on symptom presentations.
JOURNAL OF ATTENTION DISORDERS
(2023)
Article
Gastroenterology & Hepatology
Julie Billing, Birgitte Berentsen, Arvid Lundervold, Eline M. R. Hillestad, Guelen A. Lied, Trygve Hausken, Astri J. Lundervold
Summary: This study aimed to investigate cognitive function in patients with irritable bowel syndrome (IBS) and its relation to anxiety/depression and severity of gastrointestinal (GI) symptoms. The findings showed that patients with IBS had higher scores on anxiety and depression symptoms, and lower scores on memory, recall, and overall cognitive function compared to healthy controls. The severity of GI symptoms was significantly correlated with anxiety symptoms in IBS patients.
SCANDINAVIAN JOURNAL OF GASTROENTEROLOGY
(2023)
Article
Medicine, Research & Experimental
Frank Riemer, Ellen Skorve, Ofer Pasternak, Fulvio Zaccagna, Astri J. Lundervold, Oivind Torkildsen, Kjell-Morten Myhr, Renate Gruner
Summary: This study examines the temporal relationship between early microstructural changes in subcortical volumes and cognitive and emotional function in patients with relapsing-remitting Multiple Sclerosis. The results suggest that higher levels of free-water in the subcortical structures at an early stage of the disease may be associated with depression symptoms at a later stage.
COMMUNICATIONS MEDICINE
(2023)
Article
Substance Abuse
Jens Hetland, Egon Hagen, Astri J. Lundervold, Aleksander H. Erga
Summary: This study aimed to examine the predictive value of measures from the MoCA, WASI, and BRIEF-A on long-term substance use and abstinence in patients with polysubstance use disorders. The results showed that these cognitive screening instruments had limited clinical value in predicting long-term substance use outcomes. Cognitive functioning played a subordinate role in long-term recovery.
EUROPEAN ADDICTION RESEARCH
(2023)
Article
Health Care Sciences & Services
Yngve Lamo, Suresh K. Mukhiya, Fazle Rabbi, Amin Aminifar, Svein Lillehaug, Jim Torresen, Minh Pham, Ulysse Cote-Allard, Farzan M. Noori, Frode Guribye, Yavuz Inal, Eivind Flobakk, Jo D. Wake, Sunniva Myklebost, Astri J. Lundervold, Aasa Hammar, Emilie Nordby, Smiti Kahlon, Robin Kenter, Ragnhild J. T. Sekse, Kristine F. Griffin, Petter Jakobsen, Ketil Joachim Odegaard, Yngvar S. Skar, Tine Nordgreen
Summary: This paper summarizes the research findings related to information technology after 5 years of the INTROducing Mental health through Adaptive Technology project. The aim was to improve mental healthcare by introducing new technologies for adaptive interventions. The challenges of internet-delivered psychological treatments, including artificial intelligence, human-computer interaction, and software engineering, are emphasized. The main findings include a reference architecture for adaptive internet-delivered psychological treatment systems, a development process aligned with intervention design, and software artifacts.
Article
Psychology, Multidisciplinary
Daniel A. Jensen, Astri J. Lundervold, Jan Stubberud, Anne Halmoy, Jan Haavik, Lin Sorensen
Summary: The study investigated the impact of a group-based metacognitive remediation program on attentional control in adults with ADHD. The results showed significant improvements in the functioning of the executive control network for the majority of participants, although a subset showed negative development following the intervention. The study also indicated improvement in the orienting network at follow-up, but no change in the alerting network.
Article
Education, Special
Wenche A. Helland, Maj-Britt Posserud, Astri J. Lundervold
Summary: This longitudinal, population-based study explores the associations between language problems and emotional and behavioural difficulties. The study finds that children with language problems have higher scores in emotional and behavioural difficulties. Persistent language problems are associated with more severe emotional and behavioural difficulties, particularly boys' behaviour problems and girls' emotional problems. These findings highlight the importance of providing mental health and language support during childhood and adolescence.
EUROPEAN JOURNAL OF SPECIAL NEEDS EDUCATION
(2022)