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2. Demographic and clinical characteristics of lithium-treated older adults with bipolar disorder.

Author

Forlenza, Orestes, Hajek, Tomas, Almeida, Osvaldo, Beunders, Alexandra, Blumberg, Hilary, Briggs, Farren, De-Paula, Vanessa, Dols, Annemiek, Forester, Brent, Gildengers, Ariel, Jimenez, Esther, Korten, Nicole, Lafer, Beny, McWhinney, Sean, Mulsant, Benoit, Rej, Soham, Sarna, Kaylee, Schouws, Sigfried, Sutherland, Ashley, Tsai, Shangying, Vieta, Eduard, Yala, Joy, Sajatovic, Martha, and Eyler, Lisa

Subjects
bipolar disorder, lithium, older adults, pharmacology, Aged, Antipsychotic Agents, Bipolar Disorder, Demography, Female, Humans, Lithium, Lithium Compounds, Male, Middle Aged
Abstract

OBJECTIVES: There is limited information on the characteristics of older adults with bipolar disorder (OABD) treated with lithium, along with safety concerns about its use by older adults. The aim of the present study is to describe the demographic and clinical characteristics of OABD receiving lithium therapy, using data from the Global Ageing & Geriatric Experiments in Bipolar Disorder (GAGE-BD). EXPERIMENTAL PROCEDURES: Cross-sectional analysis of the GAGE-BD dataset to determine differences and similarities between lithium users and non-users. We analysed data from 986 participants aged 50 years or older (mean age 63.5 years; 57.5% females) from 12 study sites. Two subgroups (Lithium; Non-lithium) were defined according to the current prescription of lithium. We compared several outcomes between these groups, controlling for age, gender, and study site. RESULTS: OABD treated with lithium had lower scores on depression rating scales and were less likely to be categorised as with moderate or severe depression. There was a lower proportion of lithium users than non-users among those with evidence of rapid cycling and non-bipolar psychiatric diagnoses. Assessment of global cognitive state and functionality indicated better performance among lithium users. The current use of antipsychotics was less frequent among lithium users, who also reported fewer cardiovascular comorbidities than non-users. CONCLUSION: We found several potentially relevant differences in the clinical profile of OABD treated with lithium compared with those treated with other mood stabilisers. However, the interpretation of the present results must take into account the methodological limitations inherent to the cross-sectional approach and data harmonisation.

Published
2022

3. Neuropathology of depression in non-demented older adults: A large postmortem study of 741 individuals.

Author

Nunes, Paula, Suemoto, Claudia, Rodriguez, Roberta, Paraizo Leite, Renata, Nascimento, Camila, Pasqualucci, Carlos, Nitrini, Ricardo, Jacob-Filho, Wilson, Lafer, Beny, and Grinberg, Lea

Subjects
Alzheimer, Depression, Lewy, Older adults, Post-mortem, Vascular, Aged, Alzheimer Disease, Brain, Dementia, Depression, Depressive Disorder, Major, Humans, Lewy Bodies, Lewy Body Disease, Plaque, Amyloid
Abstract

Associations between age-related neuropathological lesions and adult-onset lifetime major depressive disorder (a-MDD), late-life MDD (LLD), or depressive symptoms close to death (DS) were examined in a large community sample of non-demented older adults. Seven hundred forty-one individuals (age at death = 72.2 ± 11.7 years) from the Biobank for Aging Studies were analyzed. a-MDD was present in 54 (7.3%) participants, LLD in 80 (10.8%), and DS in 168 (22.7%). After adjustment for covariates and compared to controls, a-MDD, LDD and DS were associated with small vessel disease (p = 0.039, p = 0.003, and p = 0.003 respectively); LLD, and DS were associated with brain infarcts (p = 0.012, p = 0.018, respectively) and Lewy body disease (p = 0.043, p = 0.002, respectively). DS was associated with beta-amyloid plaque burden (p = 0.027) and cerebral amyloid angiopathy (p = 0.035) in cognitively normal individuals (Clinical Dementia Rating scale = 0). Vascular brain pathology was the strongest correlate of clinical depictions of depression in the absence of dementia, corroborating the vascular hypothesis of depression. Lewy body pathology underlay DS. An older adult with DS or LLD should be monitored for possible cognitive decline or neurodegenerative disorders.

Published
2022

4. Physical comorbidities of older age bipolar disorder (OABD) patients: A global replication analysis of prevalence and sex differences

Author

Teixeira, Antonio L., Almeida, Osvaldo P., Lavin, Paola, Barbosa, Izabela G., Alda, Martin, Altinbas, Kursat, Balanzá-Martínez, Vicent, Briggs, Farren B.S., Calkin, Cynthia, Chen, Peijun, Dols, Annemieke, Eyler, Lisa T., Forester, Brent P., Forlenza, Orestes V., Gildengers, Ariel G., Hajek, Tomas, Haarman, Benno, Korten, Nicole, Jimenez, Esther, Lafer, Beny, Levin, Jennifer B., Montejo, Laura, Nunes, Paula V., Olagunju, Andrew T., Oluwaniyi, Stephen, Oudega, Mardien L., Patrick, Regan E., Radua, Joaquim, Rej, Soham, Schouws, Sigfried, Soares, Jair C., Sutherland, Ashley N., Vieta, Eduard, Yala, Joy, and Sajatovic, Martha

Published
2024
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5. Cause of Death Determined by Full-body Autopsy in Neuropathologically Diagnosed Dementias

Author

Neves, Beatriz Astolfi, Nunes, Paula Villela, Rodriguez, Roberta Diehl, Haidar, Atmis Medeiros, Leite, Renata Elaine Paraizo, Nascimento, Camila, Pasqualucci, Carlos Augusto, Nitrini, Ricardo, Jacob-Filho, Wilson, Lafer, Beny, Grinberg, Lea Tenenholz, and Suemoto, Claudia Kimie

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical Sciences, Neurosciences, Psychology, Acquired Cognitive Impairment, Alzheimer's Disease, Clinical Research, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Cardiovascular, Rehabilitation, Neurodegenerative, Dementia, Aging, Alzheimer's Disease Related Dementias (ADRD), Vascular Cognitive Impairment/Dementia, Brain Disorders, Lewy Body Dementia, Neurological, Alzheimer Disease, Atherosclerosis, Autopsy, Biological Specimen Banks, Brazil, Cause of Death, Dementia, Vascular, Humans, Lewy Body Disease, Pneumonia, neuropathologic diagnosis, causes of death, mortality, autopsy, Alzheimer disease, Cognitive Sciences, Geriatrics, Clinical sciences, Biological psychology
Abstract

ObjectiveThis study aimed to compare causes of death in the most prevalent neuropathologically diagnosed dementias.MethodsWe analyzed causes of death in a community-based cohort of participants aged 50 or older, submitted to full-body autopsy and a comprehensive neuropathologic examination of the brain. Individuals with Alzheimer disease (AD), vascular dementia (VaD), mixed dementia (AD+VaD), or dementia with Lewy bodies (DLBs) were compared with individuals with no dementia.ResultsIn a sample of 920 individuals, 456 had no dementia, 147 had AD, 120 had VaD, 53 had DLB, and 37 had AD+VaD. Pneumonia as the cause of death was more frequent in the AD (P=0.023), AD+VaD (P=0.046), and DLB (P=0.043) groups. In addition, VaD (P=0.041) and AD+VaD (P=0.028) groups had a higher frequency of atherosclerosis as detected by full-body autopsy.ConclusionOur findings highlight the importance of preventive measures regarding atherosclerosis and pneumonia in patients with dementia. Moreover, because of cognitive impairment, these patients may not fully account for symptoms to make early detection and diagnosis possible. These results confirm findings from previous studies that were based on clinical data, with added accuracy provided by neuropathologic diagnosis and full-body autopsy reports.

Published
2022

7. Exploratory study of ultraviolet B (UVB) radiation and age of onset of bipolar disorder

Author

Bauer, Michael, Glenn, Tasha, Achtyes, Eric D., Alda, Martin, Agaoglu, Esen, Altınbaş, Kürsat, Andreassen, Ole A., Angelopoulos, Elias, Ardau, Raffaella, Aydin, Memduha, Ayhan, Yavuz, Baethge, Christopher, Bauer, Rita, Baune, Bernhard T., Balaban, Ceylan, Becerra-Palars, Claudia, Behere, Aniruddh P., Behere, Prakash B., Belete, Habte, Belete, Tilahun, Belizario, Gabriel Okawa, Bellivier, Frank, Belmaker, Robert H., Benedetti, Francesco, Berk, Michael, Bersudsky, Yuly, Bicakci, Şule, Birabwa-Oketcho, Harriet, Bjella, Thomas D., Brady, Conan, Cabrera, Jorge, Cappucciati, Marco, Castro, Angela Marianne Paredes, Chen, Wei-Ling, Cheung, Eric Y. W., Chiesa, Silvia, Crowe, Marie, Cuomo, Alessandro, Dallaspezia, Sara, Del Zompo, Maria, Desai, Pratikkumar, Dodd, Seetal, Etain, Bruno, Fagiolini, Andrea, Fellendorf, Frederike T., Ferensztajn-Rochowiak, Ewa, Fiedorowicz, Jess G., Fountoulakis, Kostas N., Frye, Mark A., Geoffroy, Pierre A., Gitlin, Michael J., Gonzalez-Pinto, Ana, Gottlieb, John F., Grof, Paul, Haarman, Bartholomeus C. M., Harima, Hirohiko, Hasse-Sousa, Mathias, Henry, Chantal, Hoffding, Lone, Houenou, Josselin, Imbesi, Massimiliano, Isometsä, Erkki T., Ivkovic, Maja, Janno, Sven, Johnsen, Simon, Kapczinski, Flávio, Karakatsoulis, Gregory N., Kardell, Mathias, Kessing, Lars Vedel, Kim, Seong Jae, König, Barbara, Kot, Timur L., Koval, Michael, Kunz, Mauricio, Lafer, Beny, Landén, Mikael, Larsen, Erik R., Lenger, Melanie, Licht, Rasmus W., Lopez-Jaramillo, Carlos, MacKenzie, Alan, Madsen, Helle Østergaard, Madsen, Simone Alberte Kongstad A., Mahadevan, Jayant, Mahardika, Agustine, Manchia, Mirko, Marsh, Wendy, Martinez-Cengotitabengoa, Monica, Martini, Julia, Martiny, Klaus, Mashima, Yuki, McLoughlin, Declan M., Meesters, Ybe, Melle, Ingrid, Meza-Urzúa, Fátima, Mikolas, Pavol, Mok, Yee Ming, Monteith, Scott, Moorthy, Muthukumaran, Morken, Gunnar, Mosca, Enrica, Mozzhegorov, Anton A., Munoz, Rodrigo, Mythri, Starlin V., Nacef, Fethi, Nadella, Ravi K., Nakanotani, Takako, Nielsen, René Ernst, O’Donovan, Claire, Omrani, Adel, Osher, Yamima, Ouali, Uta, Pantovic-Stefanovic, Maja, Pariwatcharakul, Pornjira, Petite, Joanne, Petzold, Johannes, Pfennig, Andrea, Ruiz, Yolanda Pica, Pinna, Marco, Pompili, Maurizio, Porter, Richard J., Quiroz, Danilo, Rabelo-da-Ponte, Francisco Diego, Ramesar, Raj, Rasgon, Natalie, Ratta-apha, Woraphat, Ratzenhofer, Michaela, Redahan, Maria, Reddy, M. S., Reif, Andreas, Reininghaus, Eva Z., Richards, Jenny Gringer, Ritter, Philipp, Rybakowski, Janusz K., Sathyaputri, Leela, Scippa, Angela M., Simhandl, Christian, Smith, Daniel, Smith, José, Stackhouse, Jr, Paul W., Stein, Dan J., Stilwell, Kellen, Strejilevich, Sergio, Su, Kuan-Pin, Subramaniam, Mythily, Sulaiman, Ahmad Hatim, Suominen, Kirsi, Tanra, Andi J., Tatebayashi, Yoshitaka, Teh, Wen Lin, Tondo, Leonardo, Torrent, Carla, Tuinstra, Daniel, Uchida, Takahito, Vaaler, Arne E., Vieta, Eduard, Viswanath, Biju, Yoldi-Negrete, Maria, Yalcinkaya, Oguz Kaan, Young, Allan H., Zgueb, Yosra, and Whybrow, Peter C.

Published
2023
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9. Increased levels of TAR DNA-binding protein 43 in the hippocampus of subjects with bipolar disorder: a postmortem study

Author

Nascimento, Camila, Nunes, Paula V, Kim, Helena K, Leite, Renata EP, Rodriguez, Roberta D, De Oliveira, Katia Cristina, Brentani, Helena P, Jacob-Filho, Wilson, Nitrini, Ricardo, Pasqualucci, Carlos A, Grinberg, Lea T, Suemoto, Claudia K, and Lafer, Beny

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Rare Diseases, Frontotemporal Dementia (FTD), Clinical Research, Brain Disorders, Serious Mental Illness, Mental Health, Dementia, Bipolar Disorder, Neurodegenerative, Acquired Cognitive Impairment, 2.1 Biological and endogenous factors, Aetiology, Neurological, Brain, DNA-Binding Proteins, Frontotemporal Dementia, Hippocampus, Humans, Bipolar disorder, TAR DNA-binding protein 43, Frontotemporal dementia, Neurodegeneration, Post-mortem brain, Neurology & Neurosurgery, Biological psychology
Abstract

Bipolar disorder shares symptoms and pathological pathways with other neurodegenerative diseases, including frontotemporal dementia (FTD). Since TAR DNA-binding protein 43 (TDP-43) is a neuropathological marker of frontotemporal dementia and it is involved in synaptic transmission, we explored the role of TDP-43 as a molecular feature of bipolar disorder (BD). Homogenates were acquired from frozen hippocampus of postmortem brains of bipolar disorder subjects. TDP-43 levels were quantified using an ELISA-sandwich method and compared between the postmortem brains of bipolar disorder subjects and age-matched control group. We found higher levels of TDP-43 protein in the hippocampus of BD (n = 15) subjects, when compared to controls (n = 15). We did not find associations of TDP-43 with age at death, postmortem interval, or age of disease onset. Our results suggest that protein TDP-43 may be potentially implicated in behavioral abnormalities seen in BD. Further investigation is needed to validate these findings and to examine the role of this protein during the disease course and mood states.

Published
2022

10. Microcephaly measurement in adults and its association with clinical variables

Author

da Costa, Nicole Rezende, Mancine, Livia, Salvini, Rogerio, de Melo Teixeira, Juliana, Rodriguez, Roberta Diehl, Leite, Renata Elaine Paraizo, Nascimento, Camila, Pasqualucci, Carlos Augusto, Nitrini, Ricardo, Jacob-Filho, Wilson, Lafer, Beny, Grinberg, Lea Tenenholz, Suemoto, Claudia Kimie, and Nunes, Paula Villela

Subjects
Aging, Dementia, Neurosciences, Rare Diseases, Neurodegenerative, Acquired Cognitive Impairment, Brain Disorders, Neurological, Adult, Aged, Brain, Brazil, Cephalometry, Head, Humans, Male, Microcephaly, Microcephaly classification, Data Mining, Public Health and Health Services, Public Health
Abstract

ObjectiveTo establish a microcephaly cut-off size in adults using head circumference as an indirect measure of brain size, as well as to explore factors associated with microcephaly via data mining.MethodsIn autopsy studies, head circumference was measured with an inelastic tape placed around the skull. Total brain volume was also directly measured. A linear regression was used to determine the association of head circumference with brain volume and clinical variables. Microcephaly was defined as head circumference that were two standard deviations below the mean of significant clinical variables. We further applied an association rule mining to find rules associating microcephaly with several sociodemographic and clinical variables.ResultsIn our sample of 2,508 adults, the mean head circumference was 55.3 ± 2.7cm. Head circumference was related to height, cerebral volume, and sex (p < 0.001 for all). Microcephaly was present in 4.7% of the sample (n = 119). Out of 34,355 association rules, we found significant relationships between microcephaly and a clinical dementia rating (CDR) > 0.5 with an informant questionnaire on cognitive decline in the elderly (IQCODE) ≥ 3.4 (confidence: 100% and lift: 5.6), between microcephaly and a CDR > 0.5 with age over 70 years (confidence: 42% and lift: 2.4), and microcephaly and males (confidence: 68.1% and lift: 1.3).ConclusionHead circumference was related to cerebral volume. Due to its low cost and easy use, head circumference can be used as a screening test for microcephaly, adjusting it for gender and height. Microcephaly was associated with dementia at old age.

Published
2022

11. What we learn about bipolar disorder from large‐scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group

Author

Ching, Christopher RK, Hibar, Derrek P, Gurholt, Tiril P, Nunes, Abraham, Thomopoulos, Sophia I, Abé, Christoph, Agartz, Ingrid, Brouwer, Rachel M, Cannon, Dara M, Zwarte, Sonja MC, Eyler, Lisa T, Favre, Pauline, Hajek, Tomas, Haukvik, Unn K, Houenou, Josselin, Landén, Mikael, Lett, Tristram A, McDonald, Colm, Nabulsi, Leila, Patel, Yash, Pauling, Melissa E, Paus, Tomas, Radua, Joaquim, Soeiro‐de‐Souza, Marcio G, Tronchin, Giulia, Haren, Neeltje EM, Vieta, Eduard, Walter, Henrik, Zeng, Ling‐Li, Alda, Martin, Almeida, Jorge, Alnæs, Dag, Alonso‐Lana, Silvia, Altimus, Cara, Bauer, Michael, Baune, Bernhard T, Bearden, Carrie E, Bellani, Marcella, Benedetti, Francesco, Berk, Michael, Bilderbeck, Amy C, Blumberg, Hilary P, Bøen, Erlend, Bollettini, Irene, Bonnin, Caterina Mar, Brambilla, Paolo, Canales‐Rodríguez, Erick J, Caseras, Xavier, Dandash, Orwa, Dannlowski, Udo, Delvecchio, Giuseppe, Díaz‐Zuluaga, Ana M, Dima, Danai, Duchesnay, Édouard, Elvsåshagen, Torbjørn, Fears, Scott C, Frangou, Sophia, Fullerton, Janice M, Glahn, David C, Goikolea, Jose M, Green, Melissa J, Grotegerd, Dominik, Gruber, Oliver, Haarman, Bartholomeus CM, Henry, Chantal, Howells, Fleur M, Ives‐Deliperi, Victoria, Jansen, Andreas, Kircher, Tilo TJ, Knöchel, Christian, Kramer, Bernd, Lafer, Beny, López‐Jaramillo, Carlos, Machado‐Vieira, Rodrigo, MacIntosh, Bradley J, Melloni, Elisa MT, Mitchell, Philip B, Nenadic, Igor, Nery, Fabiano, Nugent, Allison C, Oertel, Viola, Ophoff, Roel A, Ota, Miho, Overs, Bronwyn J, Pham, Daniel L, Phillips, Mary L, Pineda‐Zapata, Julian A, Poletti, Sara, Polosan, Mircea, Pomarol‐Clotet, Edith, Pouchon, Arnaud, Quidé, Yann, Rive, Maria M, Roberts, Gloria, Ruhe, Henricus G, Salvador, Raymond, Sarró, Salvador, Satterthwaite, Theodore D, Schene, Aart H, and Sim, Kang

Subjects
Serious Mental Illness, Brain Disorders, Biomedical Imaging, Bipolar Disorder, Clinical Research, Behavioral and Social Science, Mental Health, Neurosciences, Mental health, Neurological, Good Health and Well Being, Cerebral Cortex, Humans, Magnetic Resonance Imaging, Meta-Analysis as Topic, Multicenter Studies as Topic, Neuroimaging, bipolar disorder, cortical surface area, cortical thickness, ENIGMA, mega-analysis, meta-analysis, MRI, neuroimaging, psychiatry, volume, ENIGMA Bipolar Disorder Working Group, Cognitive Sciences, Experimental Psychology
Abstract

MRI-derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding effects. The Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Bipolar Disorder Working Group was formed in 2012 to empower discoveries, generate consensus findings and inform future hypothesis-driven studies of BD. Through this effort, over 150 researchers from 20 countries and 55 institutions pool data and resources to produce the largest neuroimaging studies of BD ever conducted. The ENIGMA Bipolar Disorder Working Group applies standardized processing and analysis techniques to empower large-scale meta- and mega-analyses of multimodal brain MRI and improve the replicability of studies relating brain variation to clinical and genetic data. Initial BD Working Group studies reveal widespread patterns of lower cortical thickness, subcortical volume and disrupted white matter integrity associated with BD. Findings also include mapping brain alterations of common medications like lithium, symptom patterns and clinical risk profiles and have provided further insights into the pathophysiological mechanisms of BD. Here we discuss key findings from the BD working group, its ongoing projects and future directions for large-scale, collaborative studies of mental illness.

Published
2022

15. Brain areas involved with obsessive-compulsive disorder present different DNA methylation modulation

Author

de Oliveira, Kátia Cristina, Camilo, Caroline, Gastaldi, Vinícius Daguano, Sant’Anna Feltrin, Arthur, Lisboa, Bianca Cristina Garcia, de Jesus Rodrigues de Paula, Vanessa, Moretto, Ariane Cristine, Lafer, Beny, Hoexter, Marcelo Queiroz, Miguel, Euripedes Constantino, Maschietto, Mariana, and Brentani, Helena

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Basic Behavioral and Social Science, Brain Disorders, Neurosciences, Serious Mental Illness, Mental Health, Behavioral and Social Science, Aetiology, 2.1 Biological and endogenous factors, Neurological, Mental health, Aged, Brain, Caudate Nucleus, CpG Islands, DNA Methylation, Female, Gyrus Cinguli, Humans, Immune System, Immunity, Male, Neuronal Plasticity, Nucleus Accumbens, Obsessive-Compulsive Disorder, Prefrontal Cortex, Putamen, Biobank for Aging Studies Group, DNA methylation, Epigenetic age, Gene expression, Obsessive-compulsive disorder, Postmortem brain tissues
Abstract

BackgroundObsessive-compulsive disorder (OCD) is characterized by intrusive thoughts and repetitive actions, that presents the involvement of the cortico-striatal areas. The contribution of environmental risk factors to OCD development suggests that epigenetic mechanisms may contribute to its pathophysiology. DNA methylation changes and gene expression were evaluated in post-mortem brain tissues of the cortical (anterior cingulate gyrus and orbitofrontal cortex) and ventral striatum (nucleus accumbens, caudate nucleus and putamen) areas from eight OCD patients and eight matched controls.ResultsThere were no differentially methylated CpG (cytosine-phosphate-guanine) sites (DMSs) in any brain area, nevertheless gene modules generated from CpG sites and protein-protein-interaction (PPI) showed enriched gene modules for all brain areas between OCD cases and controls. All brain areas but nucleus accumbens presented a predominantly hypomethylation pattern for the differentially methylated regions (DMRs). Although there were common transcriptional factors that targeted these DMRs, their targeted differentially expressed genes were different among all brain areas. The protein-protein interaction network based on methylation and gene expression data reported that all brain areas were enriched for G-protein signaling pathway, immune response, apoptosis and synapse biological processes but each brain area also presented enrichment of specific signaling pathways. Finally, OCD patients and controls did not present significant DNA methylation age differences.ConclusionsDNA methylation changes in brain areas involved with OCD, especially those involved with genes related to synaptic plasticity and the immune system could mediate the action of genetic and environmental factors associated with OCD.

Published
2021

16. Gene expression alterations in the postmortem hippocampus from older patients with bipolar disorder – A hypothesis generating study

Author

Nascimento, Camila, Kyunghee Kim, Helena, Villela Nunes, Paula, Paraiso Leite, Renata Elaine, Katia Cristina, De Oliveira, Barbosa, André, Bernardi Bertonha, Fernanda, Moreira-Filho, Carlos Alberto, Jacob-Filho, Wilson, Nitrini, Ricardo, Pasqualucci, Carlos A., Tenenholz Grinberg, Lea, Kimie Suemoto, Claudia, Brentani, Helena Paula, and Lafer, Beny

Published
2023
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18. A review on shared clinical and molecular mechanisms between bipolar disorder and frontotemporal dementia

Author

Nascimento, Camila, Nunes, Villela Paula, Diehl Rodriguez, Roberta, Takada, Leonel, Suemoto, Cláudia Kimie, Grinberg, Lea Tenenholz, Nitrini, Ricardo, and Lafer, Beny

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Prevention, Aging, Alzheimer's Disease Related Dementias (ADRD), Acquired Cognitive Impairment, Frontotemporal Dementia (FTD), Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Genetics, Depression, Bipolar Disorder, Dementia, Rare Diseases, Neurodegenerative, Clinical Research, Neurosciences, Mental Health, Behavioral and Social Science, Serious Mental Illness, Brain Disorders, Aetiology, 2.3 Psychological, social and economic factors, Neurological, Mental health, Good Health and Well Being, Biomarkers, Diagnosis, Differential, Frontotemporal Dementia, Humans, Bipolar disorder, Frontotemporal dementia, Neuropsychiatric symptoms, Neurodegeneration, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Biochemistry and cell biology, Clinical sciences
Abstract

Mental disorders are highly prevalent and important causes of medical burden worldwide. Co-occurrence of neurological and psychiatric symptoms are observed among mental disorders, representing a challenge for their differential diagnosis. Psychiatrists and neurologists have faced challenges in diagnosing old adults presenting behavioral changes. This is the case for early frontotemporal dementia (FTD) and bipolar disorder. In its initial stages, FTD is characterized by behavioral or language disturbances in the absence of cognitive symptoms. Consequently, patients with the behavioral subtype of FTD (bv-FTD) can be initially misdiagnosed as having a psychiatric disorder, typically major depression disorder (MDD) or bipolar disorder (BD). Bipolar disorder is associated with a higher risk of dementia in older adults and with cognitive impairment, with a subset of patients presents a neuroprogressive pattern during the disease course. No mendelian mutations were identified in BD, whereas three major genetic causes of FTD have been identified. Clinical similarities between BD and bv-FTD raise the question whether common molecular pathways might explain shared clinical symptoms. Here, we reviewed existing data on clinical and molecular similarities between BD and FTD to propose biological pathways that can be further investigated as common or specific markers of BD and FTD.

Published
2019

19. Initial findings of striatum tripartite model in OCD brain samples based on transcriptome analysis.

Author

Lisboa, Bianca CG, Oliveira, Katia C, Tahira, Ana Carolina, Barbosa, André Rocha, Feltrin, Arthur Sant'Anna, Gouveia, Gisele, Lima, Luzia, Feio Dos Santos, Ana Cecília, Martins, David Correa, Puga, Renato David, Moretto, Ariane Cristine, De Bragança Pereira, Carlos Alberto, Lafer, Beny, Leite, Renata Elaine Paraizo, Ferretti-Rebustini, Renata Eloah De Lucena, Farfel, Jose Marcelo, Grinberg, Lea Tenenholz, Jacob-Filho, Wilson, Miguel, Euripedes Constantino, Hoexter, Marcelo Queiroz, and Brentani, Helena

Subjects
Neurosciences, Serious Mental Illness, Genetics, Brain Disorders, Mental Health, 1.1 Normal biological development and functioning, Biochemistry and Cell Biology, Other Physical Sciences
Abstract

Obsessive-compulsive disorder (OCD) is a psychiatric disorder characterized by obsessions and/or compulsions. Different striatal subregions belonging to the cortico-striato-thalamic circuitry (CSTC) play an important role in the pathophysiology of OCD. The transcriptomes of 3 separate striatal areas (putamen (PT), caudate nucleus (CN) and accumbens nucleus (NAC)) from postmortem brain tissue were compared between 6 OCD and 8 control cases. In addition to network connectivity deregulation, different biological processes are specific to each striatum region according to the tripartite model of the striatum and contribute in various ways to OCD pathophysiology. Specifically, regulation of neurotransmitter levels and presynaptic processes involved in chemical synaptic transmission were shared between NAC and PT. The Gene Ontology terms cellular response to chemical stimulus, response to external stimulus, response to organic substance, regulation of synaptic plasticity, and modulation of synaptic transmission were shared between CN and PT. Most genes harboring common and/or rare variants previously associated with OCD that were differentially expressed or part of a least preserved coexpression module in our study also suggest striatum subregion specificity. At the transcriptional level, our study supports differences in the 3 circuit CSTC model associated with OCD.

Published
2019

20. Neuropsychiatric Inventory in Community-Dwelling Older Adults with Mild Cognitive Impairment and Dementia

Author

Nunes, Paula Villela, Schwarzer, Monise Caroline, Leite, Renata Elaine Paraizo, Ferretti-Rebustini, Renata Eloah de Lucena, Pasqualucci, Carlos Augusto, Nitrini, Ricardo, Rodriguez, Roberta Diehl, Nascimento, Camila Fernandes, Oliveira, Katia Cristina de, Grinberg, Lea Tenenholz, Jacob-Filho, Wilson, Lafer, Beny, and Suemoto, Claudia Kimie

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical Sciences, Neurosciences, Psychology, Alzheimer's Disease, Dementia, Aging, Neurodegenerative, Clinical Research, Acquired Cognitive Impairment, Behavioral and Social Science, Brain Disorders, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurological, Aged, Alzheimer Disease, Cognition, Cognitive Dysfunction, Cross-Sectional Studies, Diagnosis, Differential, Female, Humans, Independent Living, Male, Neuropsychological Tests, Prevalence, Psychiatric Status Rating Scales, Behavioral and psychological symptoms, dementia, mild cognitive impairment, Neuropsychiatric Inventory, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences, Biological psychology
Abstract

BackgroundBehavioral and psychological symptoms (BPSD) can be a prodrome of dementia, and the Neuropsychiatric Inventory (NPI) is widely used for BPSD evaluation.ObjectiveTo compare the prevalence of BPSD according to cognitive status, and to determine NPI cutoffs that best discern individuals with mild cognitive impairment (MCI) and dementia from those without dementia.MethodsWe included 1,565 participants (mean age = 72.7±12.2 years, 48% male). BPSD and cognitive status were assessed with the NPI and the Clinical Dementia Rating (CDR). We used multivariable logistic regression models to investigate the association of BPSD with cognitive status. The area under the curve (AUC) was used to assess model discrimination, and to determine the best NPI cutoff for MCI and dementia.ResultsParticipants were cognitively normal (CDR = 0; n = 1,062), MCI (CDR = 0.5; n = 145), or dementia (CDR≥1.0, n = 358). NPI symptoms were more frequent in dementia and MCI when compared to cognitively normal. Higher odds for delusions, hallucinations, disinhibition, and psychomotor alterations were found among participants with dementia and MCI than in those who were cognitively normal. The best NPI cutoff to discern participants with dementia from those cognitively normal was 11 (AUC = 0.755). Poor discrimination (AUC = 0.563) was found for the comparison of MCI and those cognitively normal.ConclusionsWe found an increase in BPSD frequencies across the continuum of cognitive impairment. BPSD severity and frequency in MCI was more similar to individuals cognitively normal than with dementia. NPI scores≥to 11 in individuals with no diagnosis of dementia can support the decision for further investigation of dementia.

Published
2019

22. Association between polarity of first episode and solar insolation in bipolar I disorder

Author

Bauer, Michael, Glenn, Tasha, Achtyes, Eric D., Alda, Martin, Agaoglu, Esen, Altınbaş, Kürşat, Andreassen, Ole A., Angelopoulos, Elias, Ardau, Raffaella, Aydin, Memduha, Ayhan, Yavuz, Baethge, Christopher, Bauer, Rita, Baune, Bernhard T., Balaban, Ceylan, Becerra-Palars, Claudia, Behere, Aniruddh P., Behere, Prakash B., Belete, Habte, Belete, Tilahun, Belizario, Gabriel Okawa, Bellivier, Frank, Belmaker, Robert H., Benedetti, Francesco, Berk, Michael, Bersudsky, Yuly, Bicakci, Şule, Birabwa-Oketcho, Harriet, Bjella, Thomas D., Brady, Conan, Cabrera, Jorge, Cappucciati, Marco, Castro, Angela Marianne Paredes, Chen, Wei-Ling, Cheung, Eric Y.W., Chiesa, Silvia, Crowe, Marie, Cuomo, Alessandro, Dallaspezia, Sara, Del Zompo, Maria, Desai, Pratikkumar, Dodd, Seetal, Etain, Bruno, Fagiolini, Andrea, Fellendorf, Frederike T., Ferensztajn-Rochowiak, Ewa, Fiedorowicz, Jess G., Fountoulakis, Kostas N., Frye, Mark A., Geoffroy, Pierre A., Gonzalez-Pinto, Ana, Gottlieb, John F., Grof, Paul, Haarman, Bartholomeus C.M., Harima, Hirohiko, Hasse-Sousa, Mathias, Henry, Chantal, Høffding, Lone, Houenou, Josselin, Imbesi, Massimiliano, Isometsä, Erkki T., Ivkovic, Maja, Janno, Sven, Johnsen, Simon, Kapczinski, Flávio, Karakatsoulis, Gregory N., Kardell, Mathias, Kessing, Lars Vedel, Kim, Seong Jae, König, Barbara, Kot, Timur L., Koval, Michael, Kunz, Mauricio, Lafer, Beny, Landén, Mikael, Larsen, Erik R., Lenger, Melanie, Lewitzka, Ute, Licht, Rasmus W., Lopez-Jaramillo, Carlos, MacKenzie, Alan, Madsen, Helle Østergaard, Madsen, Simone Alberte Kongstad A., Mahadevan, Jayant, Mahardika, Agustine, Manchia, Mirko, Marsh, Wendy, Martinez-Cengotitabengoa, Monica, Martiny, Klaus, Mashima, Yuki, McLoughlin, Declan M., Meesters, Ybe, Melle, Ingrid, Meza-Urzúa, Fátima, Mok, Yee Ming, Monteith, Scott, Moorthy, Muthukumaran, Morken, Gunnar, Mosca, Enrica, Mozzhegorov, Anton A., Munoz, Rodrigo, Mythri, Starlin V., Nacef, Fethi, Nadella, Ravi K., Nakanotani, Takako, Nielsen, René Ernst, O'Donovan, Claire, Omrani, Adel, Osher, Yamima, Ouali, Uta, Pantovic-Stefanovic, Maja, Pariwatcharakul, Pornjira, Petite, Joanne, Pfennig, Andrea, Ruiz, Yolanda Pica, Pinna, Marco, Pompili, Maurizio, Porter, Richard, Quiroz, Danilo, Rabelo-da-Ponte, Francisco Diego, Ramesar, Raj, Rasgon, Natalie, Ratta-apha, Woraphat, Ratzenhofer, Michaela, Redahan, Maria, Reddy, M.S., Reif, Andreas, Reininghaus, Eva Z., Richards, Jenny Gringer, Ritter, Philipp, Rybakowski, Janusz K., Sathyaputri, Leela, Scippa, Ângela M., Simhandl, Christian, Smith, Daniel, Smith, José, Stackhouse, Paul W., Jr., Stein, Dan J., Stilwell, Kellen, Strejilevich, Sergio, Su, Kuan-Pin, Subramaniam, Mythily, Sulaiman, Ahmad Hatim, Suominen, Kirsi, Tanra, Andi J., Tatebayashi, Yoshitaka, Teh, Wen Lin, Tondo, Leonardo, Torrent, Carla, Tuinstra, Daniel, Uchida, Takahito, Vaaler, Arne E., Vieta, Eduard, Viswanath, Biju, Yoldi-Negrete, Maria, Yalcinkaya, Oguz Kaan, Young, Allan H., Zgueb, Yosra, and Whybrow, Peter C.

Published
2022
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23. Efficacy and safety of established and off‐label ADHD drug therapies for cognitive impairment or attention‐deficit hyperactivity disorder symptoms in bipolar disorder: A systematic review by the ISBD Targeting Cognition Task Force

Author

Miskowiak, Kamilla W., primary, Obel, Zacharias K., additional, Gugliemo, Riccardo, additional, Bonnin, Caterina del Mar, additional, Bowie, Christopher R., additional, Balanzá‐Martínez, Vicente, additional, Burdick, Katherine E., additional, Carvalho, Andre F., additional, Dols, Annemieke, additional, Douglas, Katie, additional, Gallagher, Peter, additional, Kessing, Lars V., additional, Lafer, Beny, additional, Lewandowski, Kathryn E., additional, López‐Jaramillo, Carlos, additional, Martinez‐Aran, Anabel, additional, McIntyre, Roger S., additional, Porter, Richard J., additional, Purdon, Scot E., additional, Schaffer, Ayal, additional, Stokes, Paul R. A., additional, Sumiyoshi, Tomiki, additional, Torres, Ivan J., additional, Van Rheenen, Tamsyn E., additional, Yatham, Lakshmi N., additional, Young, Allan H., additional, Vieta, Eduard, additional, and Hasler, Gregor, additional

Published
2024
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25. Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

Author

Han, Laura K. M., Dinga, Richard, Hahn, Tim, Ching, Christopher R. K., Eyler, Lisa T., Aftanas, Lyubomir, Aghajani, Moji, Aleman, André, Baune, Bernhard T., Berger, Klaus, Brak, Ivan, Filho, Geraldo Busatto, Carballedo, Angela, Connolly, Colm G., Couvy-Duchesne, Baptiste, Cullen, Kathryn R., Dannlowski, Udo, Davey, Christopher G., Dima, Danai, Duran, Fabio L. S., Enneking, Verena, Filimonova, Elena, Frenzel, Stefan, Frodl, Thomas, Fu, Cynthia H. Y., Godlewska, Beata R., Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke A., Grotegerd, Dominik, Gruber, Oliver, Hall, Geoffrey B., Harrison, Ben J., Hatton, Sean N., Hermesdorf, Marco, Hickie, Ian B., Ho, Tiffany C., Hosten, Norbert, Jansen, Andreas, Kähler, Claas, Kircher, Tilo, Klimes-Dougan, Bonnie, Krämer, Bernd, Krug, Axel, Lagopoulos, Jim, Leenings, Ramona, MacMaster, Frank P., MacQueen, Glenda, McIntosh, Andrew, McLellan, Quinn, McMahon, Katie L., Medland, Sarah E., Mueller, Bryon A., Mwangi, Benson, Osipov, Evgeny, Portella, Maria J., Pozzi, Elena, Reneman, Liesbeth, Repple, Jonathan, Rosa, Pedro G. P., Sacchet, Matthew D., Sämann, Philipp G., Schnell, Knut, Schrantee, Anouk, Simulionyte, Egle, Soares, Jair C., Sommer, Jens, Stein, Dan J., Steinsträter, Olaf, Strike, Lachlan T., Thomopoulos, Sophia I., van Tol, Marie-José, Veer, Ilya M., Vermeiren, Robert R. J. M., Walter, Henrik, van der Wee, Nic J. A., van der Werff, Steven J. A., Whalley, Heather, Winter, Nils R., Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Völzke, Henry, Yang, Tony T., Zannias, Vasileios, de Zubicaray, Greig I., Zunta-Soares, Giovana B., Abé, Christoph, Alda, Martin, Andreassen, Ole A., Bøen, Erlend, Bonnin, Caterina M., Canales-Rodriguez, Erick J., Cannon, Dara, Caseras, Xavier, Chaim-Avancini, Tiffany M., Elvsåshagen, Torbjørn, Favre, Pauline, Foley, Sonya F., Fullerton, Janice M., Goikolea, Jose M., Haarman, Bartholomeus C. M., Hajek, Tomas, Henry, Chantal, Houenou, Josselin, Howells, Fleur M., Ingvar, Martin, Kuplicki, Rayus, Lafer, Beny, Landén, Mikael, Machado-Vieira, Rodrigo, Malt, Ulrik F., McDonald, Colm, Mitchell, Philip B., Nabulsi, Leila, Otaduy, Maria Concepcion Garcia, Overs, Bronwyn J., Polosan, Mircea, Pomarol-Clotet, Edith, Radua, Joaquim, Rive, Maria M., Roberts, Gloria, Ruhe, Henricus G., Salvador, Raymond, Sarró, Salvador, Satterthwaite, Theodore D., Savitz, Jonathan, Schene, Aart H., Schofield, Peter R., Serpa, Mauricio H., Sim, Kang, Soeiro-de-Souza, Marcio Gerhardt, Sutherland, Ashley N., Temmingh, Henk S., Timmons, Garrett M., Uhlmann, Anne, Vieta, Eduard, Wolf, Daniel H., Zanetti, Marcus V., Jahanshad, Neda, Thompson, Paul M., Veltman, Dick J., Penninx, Brenda W. J. H., Marquand, Andre F., Cole, James H., and Schmaal, Lianne

Published
2021
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30. Cause of Death Determined by Full-body Autopsy in Neuropathologically Diagnosed Dementias: The Biobank for Aging Studies of the University of Sao Paulo (BAS-USP), Brazil

Author

Astolfi Neves, Beatriz, Villela Nunes, Paula, Diehl Rodriguez, Roberta, Medeiros Haidar, Atmis, Elaine Paraizo Leite, Renata, Nascimento, Camila, Augusto Pasqualucci, Carlos, Nitrini, Ricardo, Jacob-Filho, Wilson, Lafer, Beny, Tenenholz Grinberg, Lea, and Kimie Suemoto, Claudia

Published
2022
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35. Variations in seasonal solar insolation are associated with a history of suicide attempts in bipolar I disorder

Author

Bauer, Michael, Glenn, Tasha, Achtyes, Eric D., Alda, Martin, Agaoglu, Esen, Altınbaş, Kürşat, Andreassen, Ole A., Angelopoulos, Elias, Ardau, Raffaella, Vares, Edgar Arrua, Aydin, Memduha, Ayhan, Yavuz, Baethge, Christopher, Bauer, Rita, Baune, Bernhard T., Balaban, Ceylan, Becerra-Palars, Claudia, Behere, Aniruddh P., Behere, Prakash B., Belete, Habte, Belete, Tilahun, Belizario, Gabriel Okawa, Bellivier, Frank, Belmaker, Robert H., Benedetti, Francesco, Berk, Michael, Bersudsky, Yuly, Bicakci, Şule, Birabwa-Oketcho, Harriet, Bjella, Thomas D., Brady, Conan, Cabrera, Jorge, Cappucciati, Marco, Castro, Angela Marianne Paredes, Chen, Wei-Ling, Cheung, Eric Y. Wo, Chiesa, Silvia, Crowe, Marie, Cuomo, Alessandro, Dallaspezia, Sara, Del Zompo, Maria, Desai, Pratikkumar, Dodd, Seetal, Donix, Markus, Etain, Bruno, Fagiolini, Andrea, Fellendorf, Frederike T., Ferensztajn-Rochowiak, Ewa, Fiedorowicz, Jess G., Fountoulakis, Kostas N., Frye, Mark A., Geoffroy, Pierre A., Gonzalez-Pinto, Ana, Gottlieb, John F., Grof, Paul, Haarman, Bartholomeus C. M., Harima, Hirohiko, Hasse-Sousa, Mathias, Henry, Chantal, Høffding, Lone, Houenou, Josselin, Imbesi, Massimiliano, Isometsä, Erkki T., Ivkovic, Maja, Janno, Sven, Johnsen, Simon, Kapczinski, Flávio, Karakatsoulis, Gregory N., Kardell, Mathias, Kessing, Lars Vedel, Kim, Seong Jae, König, Barbara, Kot, Timur L., Koval, Michael, Kunz, Mauricio, Lafer, Beny, Landén, Mikael, Larsen, Erik R., Lenger, Melanie, Lewitzka, Ute, Licht, Rasmus W., Lopez-Jaramillo, Carlos, MacKenzie, Alan, Madsen, Helle Østergaard, Madsen, Simone Alberte Kongstad A., Mahadevan, Jayant, Mahardika, Agustine, Manchia, Mirko, Marsh, Wendy, Martinez-Cengotitabengoa, Monica, Martiny, Klaus, Mashima, Yuki, McLoughlin, Declan M., Meesters, Ybe, Melle, Ingrid, Meza-Urzúa, Fátima, Ming, Mok Yee, Monteith, Scott, Moorthy, Muthukumaran, Morken, Gunnar, Mosca, Enrica, Mozzhegorov, Anton A., Munoz, Rodrigo, Mythri, Starlin V., Nacef, Fethi, Nadella, Ravi K., Nakanotani, Takako, Nielsen, René Ernst, O‘Donovan, Claire, Omrani, Adel, Osher, Yamima, Ouali, Uta, Pantovic-Stefanovic, Maja, Pariwatcharakul, Pornjira, Petite, Joanne, Pfennig, Andrea, Ruiz, Yolanda Pica, Pilhatsch, Maximilian, Pinna, Marco, Pompili, Maurizio, Porter, Richard, Quiroz, Danilo, Rabelo-da-Ponte, Francisco Diego, Ramesar, Raj, Rasgon, Natalie, Ratta-apha, Woraphat, Ratzenhofer, Michaela, Redahan, Maria, Reddy, M. S., Reif, Andreas, Reininghaus, Eva Z., Richards, Jenny Gringer, Ritter, Philipp, Rybakowski, Janusz K., Sathyaputri, Leela, Scippa, Ângela M., Simhandl, Christian, Severus, Emanuel, Smith, Daniel, Smith, José, Stackhouse, Jr., Paul W., Stein, Dan J., Stilwell, Kellen, Strejilevich, Sergio, Su, Kuan-Pin, Subramaniam, Mythily, Sulaiman, Ahmad Hatim, Suominen, Kirsi, Tanra, Andi J., Tatebayashi, Yoshitaka, Teh, Wen Lin, Tondo, Leonardo, Torrent, Carla, Tuinstra, Daniel, Uchida, Takahito, Vaaler, Arne E., Veeh, Julia, Vieta, Eduard, Viswanath, Biju, Yoldi-Negrete, Maria, Yalcinkaya, Oguz Kaan, Young, Allan H., Zgueb, Yosra, and Whybrow, Peter C.

Published
2021
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36. Association between solar insolation and a history of suicide attempts in bipolar I disorder

Author

Bauer, Michael, Glenn, Tasha, Alda, Martin, Andreassen, Ole A., Angelopoulos, Elias, Ardau, Raffaella, Ayhan, Yavuz, Baethge, Christopher, Bauer, Rita, Baune, Bernhard T., Becerra-Palars, Claudia, Bellivier, Frank, Belmaker, Robert H., Berk, Michael, Bersudsky, Yuly, Bicakci, Şule, Birabwa-Oketcho, Harriet, Bjella, Thomas D., Cabrera, Jorge, Wo Cheung, Eric Y., Del Zompo, Maria, Dodd, Seetal, Donix, Markus, Etain, Bruno, Fagiolini, Andrea, Fountoulakis, Kostas N., Frye, Mark A., Gonzalez-Pinto, Ana, Gottlieb, John F., Grof, Paul, Harima, Hirohiko, Henry, Chantal, Isometsä, Erkki T., Janno, Sven, Kapczinski, Flávio, Kardell, Mathias, Khaldi, Slim, Kliwicki, Sebastian, König, Barbara, Kot, Timur L., Krogh, Rikke, Kunz, Mauricio, Lafer, Beny, Landén, Mikael, Larsen, Erik R., Lewitzka, Ute, Licht, Rasmus W., Lopez-Jaramillo, Carlos, MacQueen, Glenda, Manchia, Mirko, Marsh, Wendy, Martinez-Cengotitabengoa, Mónica, Melle, Ingrid, Meza-Urzúa, Fátima, Ming, Mok Yee, Monteith, Scott, Morken, Gunnar, Mosca, Enrica, Mozzhegorov, Anton A., Munoz, Rodrigo, Mythri, Starlin V., Nacef, Fethi, Nadella, Ravi K., Nery, Fabiano G., Nielsen, René E., O'Donovan, Claire, Omrani, Adel, Osher, Yamima, Sørensen, Helle Østermark, Ouali, Uta, Ruiz, Yolanda Pica, Pilhatsch, Maximilian, Pinna, Marco, da Ponte, Francisco D.R., Quiroz, Danilo, Ramesar, Raj, Rasgon, Natalie, Reddy, M.S., Reif, Andreas, Ritter, Philipp, Rybakowski, Janusz K., Sagduyu, Kemal, Raghuraman, Bharathram Sathur, Scippa, Ângela M., Severus, Emanuel, Simhandl, Christian, Stackhouse, Paul W., Jr., Stein, Dan J., Strejilevich, Sergio, Subramaniam, Mythily, Sulaiman, Ahmad Hatim, Suominen, Kirsi, Tagata, Hiromi, Tatebayashi, Yoshitaka, Tondo, Leonardo, Torrent, Carla, Vaaler, Arne E., Vares, Edgar, Veeh, Julia, Vieta, Eduard, Viswanath, Biju, Yoldi-Negrete, Maria, Zetin, Mark, Zgueb, Yosra, and Whybrow, Peter C.

Published
2019
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38. Low brain-derived neurotrophic factor levels in post-mortem brains of older adults with depression and dementia in a large clinicopathological sample.

Author

Nunes, Paula Villela, Nascimento, Camila Fernandes, Kim, Helena Kyunghee, Andreazza, Ana Cristina, Brentani, Helena Paula, Suemoto, Claudia Kimie, Leite, Renata Elaine Paraizo, Ferretti-Rebustini, Renata Eloah de Lucena, Pasqualucci, Carlos Augusto, Nitrini, Ricardo, Grinberg, Lea Tenenholz, Yong, Lionel Trevor, Jacob-Filho, Wilson, and Lafer, Beny

Published
2018
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41. Bipolar symptoms, somatic burden and functioning in older‐age bipolar disorder: A replication study from the global aging & geriatric experiments in bipolar disorder database (GAGE‐BD) project.

Author

Sajatovic, Martha, Rej, Soham, Almeida, Osvaldo P., Altinbas, Kursat, Balanzá‐Martínez, Vicent, Barbosa, Izabela G., Beunders, Alexandra J. M., Blumberg, Hilary P., Briggs, Farren B. S., Dols, Annemiek, Forester, Brent P., Forlenza, Orestes V., Gildengers, Ariel G., Jimenez, Esther, Klaus, Federica, Lafer, Beny, Mulsant, Benoit, Mwangi, Benson, Nunes, Paula Villela, and Olagunju, Andrew T.

Subjects
PREVENTION of mental depression, BIPOLAR disorder, ELDER care, RESEARCH funding, REPLICATION (Experimental design), FUNCTIONAL status, AGE distribution, DESCRIPTIVE statistics, SEVERITY of illness index, LONGITUDINAL method, AGING, MANIA, SYMPTOMS, OLD age
Abstract

Objectives: The Global Aging & Geriatric Experiments in Bipolar Disorder Database (GAGE‐BD) project pools archival datasets on older age bipolar disorder (OABD). An initial Wave 1 (W1; n = 1369) analysis found both manic and depressive symptoms reduced among older patients. To replicate this finding, we gathered an independent Wave 2 (W2; n = 1232, mean ± standard deviation age 47.2 ± 13.5, 65% women, 49% aged over 50) dataset. Design/Methods: Using mixed models with random effects for cohort, we examined associations between BD symptoms, somatic burden and age and the contribution of these to functioning in W2 and the combined W1 + W2 sample (n = 2601). Results: Compared to W1, the W2 sample was younger (p < 0.001), less educated (p < 0.001), more symptomatic (p < 0.001), lower functioning (p < 0.001) and had fewer somatic conditions (p < 0.001). In the full W2, older individuals had reduced manic symptom severity, but age was not associated with depression severity. Age was not associated with functioning in W2. More severe BD symptoms (mania p ≤ 0.001, depression p ≤ 0.001) were associated with worse functioning. Older age was significantly associated with higher somatic burden in the W2 and the W1 + W2 samples, but this burden was not associated with poorer functioning. Conclusions: In a large, independent sample, older age was associated with less severe mania and more somatic burden (consistent with previous findings), but there was no association of depression with age (different from previous findings). Similar to previous findings, worse BD symptom severity was associated with worse functioning, emphasizing the need for symptom relief in OABD to promote better functioning. Key points: With the global population of older adults increasing rapidly, it is important to understand how older adults with bipolar disorder (BD) differ from younger adults.This replication analysis using a large global dataset focused on older‐age bipolar disorder (OABD) and examined associations of older age, BD symptoms, somatic burden and functioning.Older age was associated with less severe mania and more somatic burden but there was no association of depression with age.Worse BD symptom severity was associated with worse functioning, emphasizing the need for symptom relief in OABD to promote better functioning. [ABSTRACT FROM AUTHOR]

Published
2024
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44. Layer-specific reduced neuronal density in the orbitofrontal cortex of older adults with obsessive–compulsive disorder

Author

de Oliveira, Katia Cristina, Grinberg, Lea Tenenholz, Hoexter, Marcelo Queiroz, Brentani, Helena, Suemoto, Claudia Kimie, Nery, Fabiano Gonçalves, Lima, Luzia Carreira, Alho, Ana Tereza Di Lorenzo, Farfel, José Marcelo, Ferretti-Rebustini, Renata Eloah de Lucena, Leite, Renata Elaine Paraizo, Moretto, Ariane Cristine, da Silva, Alexandre Valotta, Lafer, Beny, Miguel, Eurípedes Constantino, Nitrini, Ricardo, Jacob-Filho, Wilson, Heinsen, Helmut, and Pasqualucci, Carlos Augusto

Published
2019
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46. Essential data dimensions for prospective international data collection in older age bipolar disorder (OABD): Recommendations from the GAGE-BD group.

Author

Lavin, Paola, Rej, Soham, Olagunju, Andrew T., Teixeira, Antonio L., Dols, Annemieke, Alda, Martin, Almeida, Osvaldo P., Altinbas, Kursat, Balanzá-Martínez, Vicent, Barbosa, Izabela G., Blumberg, Hilary P., Briggs, Farren, Calkin, Cynthia, Cassidy, Kristin, Forester, Brent P., Forlenza, Orestes V., Hajek, Tomas, Haarman, Barthomeus C. M., Jimenez, Esther, and Lafer, Beny

Subjects
BIPOLAR disorder, ACQUISITION of data, DELPHI method, MENTAL depression, RESEARCH questions, GERIATRIC psychiatry, HYPOMANIA
Abstract

Background: By 2030, over 50% of individuals living with bipolar disorder (BD) are expected to be aged ≥50 years. However, older age bipolar disorder (OABD) remains understudied. There are limited large-scale prospectively collected data organized in key dimensions capable of addressing several fundamental questions about BD affecting this subgroup of patients. Methods: We developed initial recommendations for the essential dimensions for OABD data collection, based on (1) a systematic review of measures used in OABD studies, (2) a Delphi consensus of international OABD experts, (3) experience with harmonizing OABD data in the Global Aging & Geriatric Experiments in Bipolar Disorder Database (GAGE-BD, n ≥ 4500 participants), and (4) critical feedback from 34 global experts in geriatric mental health. Results: We identified 15 key dimensions and variables within each that are relevant for the investigation of OABD: (1) demographics, (2) core symptoms of depression and (3) mania, (4) cognition screening and subjective cognitive function, (5) elements for BD diagnosis, (6) descriptors of course of illness, (7) treatment, (8) suicidality, (9) current medication, (10) psychiatric comorbidity, (11) psychotic symptoms, (12) general medical comorbidities, (13) functioning, (14) family history, and (15) other. We also recommend particular instruments for capturing some of the dimensions and variables. Conclusion: The essential data dimensions we present should be of use to guide future international data collection in OABD and clinical practice. In the longer term, we aim to establish a prospective consortium using this core set of dimensions and associated variables to answer research questions relevant to OABD. [ABSTRACT FROM AUTHOR]

Published
2023
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