280 results on '"Velakoulis, Dennis"'
Search Results
2. The ENIGMA‐Epilepsy working group: Mapping disease from large data sets
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Sisodiya, Sanjay M, Whelan, Christopher D, Hatton, Sean N, Huynh, Khoa, Altmann, Andre, Ryten, Mina, Vezzani, Annamaria, Caligiuri, Maria Eugenia, Labate, Angelo, Gambardella, Antonio, Ives‐Deliperi, Victoria, Meletti, Stefano, Munsell, Brent C, Bonilha, Leonardo, Tondelli, Manuela, Rebsamen, Michael, Rummel, Christian, Vaudano, Anna Elisabetta, Wiest, Roland, Balachandra, Akshara R, Bargalló, Núria, Bartolini, Emanuele, Bernasconi, Andrea, Bernasconi, Neda, Bernhardt, Boris, Caldairou, Benoit, Carr, Sarah JA, Cavalleri, Gianpiero L, Cendes, Fernando, Concha, Luis, Desmond, Patricia M, Domin, Martin, Duncan, John S, Focke, Niels K, Guerrini, Renzo, Hamandi, Khalid, Jackson, Graeme D, Jahanshad, Neda, Kälviäinen, Reetta, Keller, Simon S, Kochunov, Peter, Kowalczyk, Magdalena A, Kreilkamp, Barbara AK, Kwan, Patrick, Lariviere, Sara, Lenge, Matteo, Lopez, Seymour M, Martin, Pascal, Mascalchi, Mario, Moreira, José CV, Morita‐Sherman, Marcia E, Pardoe, Heath R, Pariente, Jose C, Raviteja, Kotikalapudi, Rocha, Cristiane S, Rodríguez‐Cruces, Raúl, Seeck, Margitta, Semmelroch, Mira KHG, Sinclair, Benjamin, Soltanian‐Zadeh, Hamid, Stein, Dan J, Striano, Pasquale, Taylor, Peter N, Thomas, Rhys H, Thomopoulos, Sophia I, Velakoulis, Dennis, Vivash, Lucy, Weber, Bernd, Yasuda, Clarissa Lin, Zhang, Junsong, Thompson, Paul M, McDonald, Carrie R, Abela, Eugenio, Absil, Julie, Adams, Sophia, Alhusaini, Saud, Alvim, Marina, Balestrini, Simona, Bender, Benjamin, Bergo, Felipe, Bernardes, Tauana, Calvo, Anna, Carreno, Mar, Cherubini, Andrea, David, Philippe, Davoodi‐Bojd, Esmaeil, Delanty, Norman, Depondt, Chantal, Devinsky, Orrin, Doherty, Colin, França, Wendy Caroline, Franceschet, Leticia, Hibar, Derrek P, Ishikawa, Akari, Kaestner, Erik, Langner, Soenke, Liu, Min, Mirandola, Laura, Naylor, Jillian, and Nazem‐Zadeh, Mohammad‐reza
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Brain Disorders ,Biomedical Imaging ,Neurosciences ,Epilepsy ,Neurodegenerative ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,covariance ,deep learning ,DTI ,event-based modeling ,gene expression ,genetics ,imaging ,MRI ,quantitative ,rsfMRI ,ENIGMA Consortium Epilepsy Working Group ,Cognitive Sciences ,Experimental Psychology - Abstract
Epilepsy is a common and serious neurological disorder, with many different constituent conditions characterized by their electro clinical, imaging, and genetic features. MRI has been fundamental in advancing our understanding of brain processes in the epilepsies. Smaller-scale studies have identified many interesting imaging phenomena, with implications both for understanding pathophysiology and improving clinical care. Through the infrastructure and concepts now well-established by the ENIGMA Consortium, ENIGMA-Epilepsy was established to strengthen epilepsy neuroscience by greatly increasing sample sizes, leveraging ideas and methods established in other ENIGMA projects, and generating a body of collaborating scientists and clinicians to drive forward robust research. Here we review published, current, and future projects, that include structural MRI, diffusion tensor imaging (DTI), and resting state functional MRI (rsfMRI), and that employ advanced methods including structural covariance, and event-based modeling analysis. We explore age of onset- and duration-related features, as well as phenomena-specific work focusing on particular epilepsy syndromes or phenotypes, multimodal analyses focused on understanding the biology of disease progression, and deep learning approaches. We encourage groups who may be interested in participating to make contact to further grow and develop ENIGMA-Epilepsy.
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- 2022
3. White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-Epilepsy study
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Hatton, Sean N, Huynh, Khoa H, Bonilha, Leonardo, Abela, Eugenio, Alhusaini, Saud, Altmann, Andre, Alvim, Marina KM, Balachandra, Akshara R, Bartolini, Emanuele, Bender, Benjamin, Bernasconi, Neda, Bernasconi, Andrea, Bernhardt, Boris, Bargallo, Núria, Caldairou, Benoit, Caligiuri, Maria E, Carr, Sarah JA, Cavalleri, Gianpiero L, Cendes, Fernando, Concha, Luis, Davoodi-bojd, Esmaeil, Desmond, Patricia M, Devinsky, Orrin, Doherty, Colin P, Domin, Martin, Duncan, John S, Focke, Niels K, Foley, Sonya F, Gambardella, Antonio, Gleichgerrcht, Ezequiel, Guerrini, Renzo, Hamandi, Khalid, Ishikawa, Akari, Keller, Simon S, Kochunov, Peter V, Kotikalapudi, Raviteja, Kreilkamp, Barbara AK, Kwan, Patrick, Labate, Angelo, Langner, Soenke, Lenge, Matteo, Liu, Min, Lui, Elaine, Martin, Pascal, Mascalchi, Mario, Moreira, José CV, Morita-Sherman, Marcia E, O’Brien, Terence J, Pardoe, Heath R, Pariente, José C, Ribeiro, Letícia F, Richardson, Mark P, Rocha, Cristiane S, Rodríguez-Cruces, Raúl, Rosenow, Felix, Severino, Mariasavina, Sinclair, Benjamin, Soltanian-Zadeh, Hamid, Striano, Pasquale, Taylor, Peter N, Thomas, Rhys H, Tortora, Domenico, Velakoulis, Dennis, Vezzani, Annamaria, Vivash, Lucy, von Podewils, Felix, Vos, Sjoerd B, Weber, Bernd, Winston, Gavin P, Yasuda, Clarissa L, Zhu, Alyssa H, Thompson, Paul M, Whelan, Christopher D, Jahanshad, Neda, Sisodiya, Sanjay M, and McDonald, Carrie R
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Genetics ,Neurodegenerative ,Epilepsy ,Clinical Research ,Brain Disorders ,Neurosciences ,Biomedical Imaging ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Adult ,Brain ,Diffusion Magnetic Resonance Imaging ,Epileptic Syndromes ,Female ,Humans ,Image Interpretation ,Computer-Assisted ,Male ,Middle Aged ,White Matter ,epilepsy ,diffusion tensor imaging ,multisite analysis ,white matter ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Neurology & Neurosurgery - Abstract
The epilepsies are commonly accompanied by widespread abnormalities in cerebral white matter. ENIGMA-Epilepsy is a large quantitative brain imaging consortium, aggregating data to investigate patterns of neuroimaging abnormalities in common epilepsy syndromes, including temporal lobe epilepsy, extratemporal epilepsy, and genetic generalized epilepsy. Our goal was to rank the most robust white matter microstructural differences across and within syndromes in a multicentre sample of adult epilepsy patients. Diffusion-weighted MRI data were analysed from 1069 healthy controls and 1249 patients: temporal lobe epilepsy with hippocampal sclerosis (n = 599), temporal lobe epilepsy with normal MRI (n = 275), genetic generalized epilepsy (n = 182) and non-lesional extratemporal epilepsy (n = 193). A harmonized protocol using tract-based spatial statistics was used to derive skeletonized maps of fractional anisotropy and mean diffusivity for each participant, and fibre tracts were segmented using a diffusion MRI atlas. Data were harmonized to correct for scanner-specific variations in diffusion measures using a batch-effect correction tool (ComBat). Analyses of covariance, adjusting for age and sex, examined differences between each epilepsy syndrome and controls for each white matter tract (Bonferroni corrected at P
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- 2020
4. Recommendations to distinguish behavioural variant frontotemporal dementia from psychiatric disorders
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Ducharme, Simon, Dols, Annemiek, Laforce, Robert, Devenney, Emma, Kumfor, Fiona, van den Stock, Jan, Dallaire-Théroux, Caroline, Seelaar, Harro, Gossink, Flora, Vijverberg, Everard, Huey, Edward, Vandenbulcke, Mathieu, Masellis, Mario, Trieu, Calvin, Onyike, Chiadi, Caramelli, Paulo, de Souza, Leonardo Cruz, Santillo, Alexander, Waldö, Maria Landqvist, Landin-Romero, Ramon, Piguet, Olivier, Kelso, Wendy, Eratne, Dhamidhu, Velakoulis, Dennis, Ikeda, Manabu, Perry, David, Pressman, Peter, Boeve, Bradley, Vandenberghe, Rik, Mendez, Mario, Azuar, Carole, Levy, Richard, Le Ber, Isabelle, Baez, Sandra, Lerner, Alan, Ellajosyula, Ratnavalli, Pasquier, Florence, Galimberti, Daniela, Scarpini, Elio, van Swieten, John, Hornberger, Michael, Rosen, Howard, Hodges, John, Diehl-Schmid, Janine, and Pijnenburg, Yolande
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Biological Psychology ,Biomedical and Clinical Sciences ,Psychology ,Neurosciences ,Dementia ,Behavioral and Social Science ,Frontotemporal Dementia (FTD) ,Acquired Cognitive Impairment ,Mental Health ,Brain Disorders ,Prevention ,Neurodegenerative ,Clinical Research ,4.2 Evaluation of markers and technologies ,4.1 Discovery and preclinical testing of markers and technologies ,Detection ,screening and diagnosis ,Mental health ,Neurological ,Delayed Diagnosis ,Diagnosis ,Differential ,Female ,Fluorodeoxyglucose F18 ,Frontotemporal Dementia ,Humans ,Magnetic Resonance Imaging ,Male ,Mental Disorders ,Neuroimaging ,Neurologic Examination ,Neuropsychological Tests ,Positron-Emission Tomography ,frontotemporal dementia ,psychiatry ,differential diagnosis ,guidelines ,biomarkers ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Neurology & Neurosurgery ,Biomedical and clinical sciences ,Health sciences - Abstract
The behavioural variant of frontotemporal dementia (bvFTD) is a frequent cause of early-onset dementia. The diagnosis of bvFTD remains challenging because of the limited accuracy of neuroimaging in the early disease stages and the absence of molecular biomarkers, and therefore relies predominantly on clinical assessment. BvFTD shows significant symptomatic overlap with non-degenerative primary psychiatric disorders including major depressive disorder, bipolar disorder, schizophrenia, obsessive-compulsive disorder, autism spectrum disorders and even personality disorders. To date, ∼50% of patients with bvFTD receive a prior psychiatric diagnosis, and average diagnostic delay is up to 5-6 years from symptom onset. It is also not uncommon for patients with primary psychiatric disorders to be wrongly diagnosed with bvFTD. The Neuropsychiatric International Consortium for Frontotemporal Dementia was recently established to determine the current best clinical practice and set up an international collaboration to share a common dataset for future research. The goal of the present paper was to review the existing literature on the diagnosis of bvFTD and its differential diagnosis with primary psychiatric disorders to provide consensus recommendations on the clinical assessment. A systematic literature search with a narrative review was performed to determine all bvFTD-related diagnostic evidence for the following topics: bvFTD history taking, psychiatric assessment, clinical scales, physical and neurological examination, bedside cognitive tests, neuropsychological assessment, social cognition, structural neuroimaging, functional neuroimaging, CSF and genetic testing. For each topic, responsible team members proposed a set of minimal requirements, optimal clinical recommendations, and tools requiring further research or those that should be developed. Recommendations were listed if they reached a ≥ 85% expert consensus based on an online survey among all consortium participants. New recommendations include performing at least one formal social cognition test in the standard neuropsychological battery for bvFTD. We emphasize the importance of 3D-T1 brain MRI with a standardized review protocol including validated visual atrophy rating scales, and to consider volumetric analyses if available. We clarify the role of 18F-fluorodeoxyglucose PET for the exclusion of bvFTD when normal, whereas non-specific regional metabolism abnormalities should not be over-interpreted in the case of a psychiatric differential diagnosis. We highlight the potential role of serum or CSF neurofilament light chain to differentiate bvFTD from primary psychiatric disorders. Finally, based on the increasing literature and clinical experience, the consortium determined that screening for C9orf72 mutation should be performed in all possible/probable bvFTD cases or suspected cases with strong psychiatric features.
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- 2020
5. Structural and microstructural thalamocortical network disruption in sporadic behavioural variant frontotemporal dementia
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Jakabek, David, Power, Brian D., Spotorno, Nicola, Macfarlane, Matthew D., Walterfang, Mark, Velakoulis, Dennis, Nilsson, Christer, Waldö, Maria Landqvist, Lätt, Jimmy, Nilsson, Markus, van Westen, Danielle, Lindberg, Olof, Looi, Jeffrey C.L., and Santillo, Alexander F.
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- 2023
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6. Increased cortical thickness in nodes of the cognitive control and default mode networks in psychosis of epilepsy
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Allebone, James, Wilson, Sarah J, Bradlow, Richard C J, Maller, Jerome, O'Brien, Terry, Mullen, Saul A, Cook, Mark, Adams, Sophia J, Vogrin, Simon, Vaughan, David N, Connelly, Alan, Kwan, Patrick, Berkovic, Samuel F, D'Souza, Wendyl J, Jackson, Graeme, Velakoulis, Dennis, and Kanaan, Richard A
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- 2022
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7. In Vivo 7-Tesla MRI Investigation of Brain Iron and Its Metabolic Correlates in Chronic Schizophrenia
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Ravanfar, Parsa, Syeda, Warda T., Jayaram, Mahesh, Rushmore, R. Jarrett, Moffat, Bradford, Lin, Alexander P., Lyall, Amanda E., Merritt, Antonia H., Yaghmaie, Negin, Laskaris, Liliana, Luza, Sandra, Opazo, Carlos M., Liberg, Benny, Chakravarty, M. Mallar, Devenyi, Gabriel A., Desmond, Patricia, Cropley, Vanessa L., Makris, Nikos, Shenton, Martha E., Bush, Ashley I., Velakoulis, Dennis, and Pantelis, Christos
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- 2022
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8. Cortico-cognition coupling in treatment resistant schizophrenia
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Syeda, Warda T., Wannan, Cassandra M.J., Merritt, Antonia H., Raghava, Jayachandra M., Jayaram, Mahesh, Velakoulis, Dennis, Kristensen, Tina D., Soldatos, Rigas Filippos, Tonissen, Shane, Thomas, Naveen, Ambrosen, Karen S., Sørensen, Mikkel E., Fagerlund, Birgitte, Rostrup, Egill, Glenthøj, Birte Y., Skafidas, Efstratios, Bousman, Chad A., Johnston, Leigh A., Everall, Ian, Ebdrup, Bjørn H., and Pantelis, Christos
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- 2022
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9. Investigating Equivalence of In-Person and Telehealth-Based Neuropsychological Assessment Performance for Individuals Being Investigated for Younger Onset Dementia.
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Brown, Aimee D, Kelso, Wendy, Eratne, Dhamidhu, Loi, Samantha M, Farrand, Sarah, Summerell, Patrick, Neath, Joanna, Walterfang, Mark, Velakoulis, Dennis, and Stolwyk, Renerus J
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NEUROPSYCHOLOGICAL tests ,WECHSLER Adult Intelligence Scale ,DEMENTIA ,INTRACLASS correlation - Abstract
Objective Given the rapid shift to in-home teleneuropsychology models, more research is needed to investigate the equivalence of non-facilitator models of teleneuropsychology delivery for people with younger onset dementia (YOD). This study aimed to determine whether equivalent performances were observed on neuropsychological measures administered in-person and via teleneuropsychology in a sample of people being investigated for YOD. Method Using a randomized counterbalanced cross-over design, 43 participants (M
age = 60.26, SDage = 7.19) with a possible or probable YOD diagnosis completed 14 neuropsychological tests in-person and via teleneuropsychology, with a 2-week interval. Repeated measures t -tests, intraclass correlation coefficients (ICC), and Bland Altman analyses were used to investigate equivalence across the administration conditions. Results No statistical differences were found between in-person and teleneuropsychology conditions, except for the Hospital Anxiety and Depression Scale Anxiety subtest. Small to negligible effect sizes were observed (ranging from.01 to.20). ICC estimates ranged from.71 to.97 across the neuropsychological measures. Bland Altman analyses revealed that the Wechsler Adult Intelligence Scale—Fourth Edition Block Design subtest had slightly better overall performance in the in-person condition and participants reported higher levels of anxiety symptoms during the teleneuropsychology condition; however, average anxiety symptoms remained within the clinically normal range. Participants reported a high level of acceptability for teleneuropsychology assessments. Conclusions These results suggest that performances are comparable between in-person and teleneuropsychology assessment modalities. Our findings support teleneuropsychology as a feasible alternative to in-person neuropsychological services for people under investigation of YOD, who face significant barriers in accessing timely diagnoses and treatment options. [ABSTRACT FROM AUTHOR]- Published
- 2024
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10. Alzheimer's disease biomarker utilization at first referral enhances differential diagnostic precision with simultaneous exclusion of Creutzfeldt‐Jakob disease
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Wang, Zitianyu, primary, Lewis, Victoria, additional, Stehmann, Christiane, additional, Varghese, Shiji, additional, Senesi, Matteo, additional, McGlade, Amelia, additional, Ellett, Laura J., additional, Doecke, James D., additional, Eratne, Dhamidhu, additional, Velakoulis, Dennis, additional, Masters, Colin L., additional, Collins, Steven J., additional, and Li, Qiao‐Xin, additional
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- 2024
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11. Peer Support for Caregivers of People Living with Posterior Cortical Atrophy in Melbourne, Australia: A Feasibility Study.
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Mitchell, Alexander, Kelso, Wendy, Paynter, Camille, Hayes, Leanne, Velakoulis, Dennis, and Loi, Samantha M.
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- 2024
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12. Post-Diagnostic Support for Behaviour Changes in Young-Onset Dementia in Australia
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Cadwallader, Claire J., primary, Velakoulis, Dennis, additional, and Loi, Samantha M., additional
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- 2023
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13. Phase II randomised placebo-controlled trial of sodium selenate as a disease-modifying treatment in chronic drug-resistant temporal lobe epilepsy: the SeLECT study protocol
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Vivash, Lucy, primary, Johns, Hannah, additional, Churilov, Leonid, additional, MacPhail, Sara, additional, Casillas-Espinosa, Pablo, additional, Malpas, Charles, additional, Shultz, Sandy R, additional, Tailby, Chris, additional, Wijayath, Manori, additional, Reutens, David, additional, Gillinder, Lisa, additional, Perucca, Piero, additional, Carney, Patrick, additional, Nicolo, John-Paul, additional, Lawn, Nicholas, additional, Kwan, Patrick, additional, Velakoulis, Dennis, additional, Hovens, Christopher M, additional, and O’Brien, Terence J, additional
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- 2023
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14. The effect of improved dietary control on cognitive and psychiatric functioning in adults with phenylketonuria: the ReDAPT study
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Burgess, Nicholas M., Kelso, Wendy, Malpas, Charles B., Winton-Brown, Toby, Fazio, Timothy, Panetta, Julie, De Jong, Gerard, Neath, Joanna, Atherton, Sonny, Velakoulis, Dennis, and Walterfang, Mark
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- 2021
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15. Personality profiles differ between patients with epileptic seizures and patients with psychogenic non-epileptic seizures
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Leong, Michelle, Wang, Albert D, Trainor, David, Johnstone, Ben, Rayner, Genevieve, Kalincik, Tomas, Roos, Izanne, Kwan, Patrick, O’Brien, Terence J, Velakoulis, Dennis, and Malpas, Charles B
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- 2019
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16. Confirming Pathogenicity of the F386L PSEN1 Variant in a South Asian Family With Early-Onset Alzheimer Disease
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Eger, Sarah J., Le Guen, Yann, Khan, Raiyan R., Hall, Jacob N., Kennedy, Gabriel, Zaharchuk, Greg, Couthouis, Julien, Brooks, William S., Velakoulis, Dennis, Napolioni, Valerio, Belloy, Michaël E., Dalgard, Clifton L., Mormino, Elizabeth C., Gitler, Aaron D., and Greicius, Michael D.
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- 2022
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17. Tau and Amyloid-β Cerebrospinal Fluid Biomarkers have Differential Relationships with Cognition in Mild Cognitive Impairment
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Malpas, Charles B, Saling, Michael M, Velakoulis, Dennis, Desmond, Patricia, and O'Brien, Terence J
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Biological Psychology ,Psychology ,Brain Disorders ,Acquired Cognitive Impairment ,Clinical Trials and Supportive Activities ,Alzheimer's Disease ,Clinical Research ,Neurodegenerative ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Dementia ,Neurosciences ,Aging ,Behavioral and Social Science ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Mental health ,Aged ,Aged ,80 and over ,Amyloid beta-Peptides ,Biomarkers ,Cognition ,Cognitive Dysfunction ,Databases ,Factual ,Female ,Humans ,Learning ,Male ,Middle Aged ,Neuropsychological Tests ,Peptide Fragments ,Phosphorylation ,Regression Analysis ,tau Proteins ,Amyloid-beta ,cerebrospinal fluid ,cognition ,mild cognitive impairment ,tau ,Alzheimer's Disease Neuroimaging Initiative ,Amyloid-β ,Clinical Sciences ,Cognitive Sciences ,Neurology & Neurosurgery ,Clinical sciences ,Biological psychology - Abstract
Alzheimer's disease (AD) is characterized by two primary pathologies: tau-related neurofibrillary tangles and the extracellular accumulation of amyloid-β (Aβ). The development of these pathologies is topologically distinct early in the disease, with Aβ beginning to accumulate as a diffuse, neocortical pathology, while tau-related pathology begins to form in mesial temporal regions. This study investigated the hypothesis that, by virtue of this distinction, there exist preferential associations between the primary pathologies and aspects of the cognitive phenotype. We investigated the relationship between cerebrospinal fluid (CSF) biomarkers for tau and Aβ pathologies with neurocognitive measures in 191 patients with mild cognitive impairment (MCI). Participants completed cognitive tests of new learning, information processing speed, and working memory. Separate regression models were computed and then followed up with mediation analyses to examine the predictive status of CSF biomarkers. The effect of Aβ on learning was mediated by phospho-tau (p = 0.008). In contrast, Aβ had a direct effect on information processing speed that was not mediated by phospho-tau (p = 0.59). No predictors were significant for working memory. This study provided evidence for a differential relationship of Aβ and phospho-tau pathologies on the neurocognitive phenotype of MCI. This supports the proposition that these primary AD pathologies maximally affect different aspects of cognition, and has potential implications for cognitive assessments and the use of biomarkers in disease-modifyingtherapeutic trials.
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- 2015
18. Longitudinal Partial Volume Correction in 2-[18F]-Fluoro-2-Deoxy-D-Glucose Positron Emission Tomography Studies of Alzheimer Disease
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Malpas, Charles B, Saling, Michael M, Velakoulis, Dennis, Desmond, Patricia, Hicks, Rodney J, and O'Brien, Terence J
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Biomedical and Clinical Sciences ,Clinical Sciences ,Acquired Cognitive Impairment ,Neurosciences ,Clinical Research ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Alzheimer's Disease ,Dementia ,Neurodegenerative ,Brain Disorders ,Aging ,Neurological ,Aged ,Alzheimer Disease ,Brain ,Brain Mapping ,Female ,Fluorodeoxyglucose F18 ,Humans ,Male ,Positron-Emission Tomography ,Radiopharmaceuticals ,Reproducibility of Results ,Alzheimer Disease Neuroimaging Initiative ,Nuclear Medicine & Medical Imaging ,Clinical sciences ,Computer vision and multimedia computation - Abstract
ObjectiveTo investigate partial volume correction (PVC) of 2-[F]-fluoro-2-deoxy-D-glucose positron emission tomography in Alzheimer disease in a longitudinal context.MethodsA total of 115 participants were included, including 55 controls, 53 patients with mild cognitive impairment, and 7 patients with dementia of the Alzheimer type. Imaging was performed at baseline and 24 months. Partial volume corrected vs uncorrected rates of longitudinal change were compared for mesial temporal and cortical regions of interest.ResultsPartial volume correction increased apparent uptake, and this effect was greater at 24 months compared with baseline. Partial volume correction decreased the rate of decline, causing an apparent increase in uptake at 24 months compared with baseline. This effect was correlated with the structural atrophy.ConclusionsThese findings suggest that applying PVC in a longitudinal context in Alzheimer disease might produce unpredictable results. Accordingly, both PVC corrected and uncorrected data should be reported to ensure that the results are physiologically plausible.
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- 2015
19. Association Between Psychiatric Comorbidities and Mortality in Epilepsy
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Tao, Gerard, Auvrez, Clarissa, Nightscales, Russell, Barnard, Sarah, McCartney, Lara, Malpas, Charles B., Perucca, Piero, Chen, Zhibin, Adams, Sophia, McIntosh, Anne, Ignatiadis, Sophia, OʼBrien, Patrick, Cook, Mark J., Kwan, Patrick, Berkovic, Samuel F., DʼSouza, Wendyl, Velakoulis, Dennis, and OʼBrien, Terence J.
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- 2021
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20. Supranutritional Sodium Selenate Supplementation Delivers Selenium to the Central Nervous System: Results from a Randomized Controlled Pilot Trial in Alzheimer’s Disease
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Cardoso, Barbara R., Roberts, Blaine R., Malpas, Charles B., Vivash, Lucy, Genc, Sila, Saling, Michael M., Desmond, Patricia, Steward, Christopher, Hicks, Rodney J., Callahan, Jason, Brodtmann, Amy, Collins, Steven, Macfarlane, Stephen, Corcoran, Niall M, Hovens, Christopher M., Velakoulis, Dennis, O’Brien, Terence J., Hare, Dominic J., and Bush, Ashley I.
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- 2019
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21. Motor Neuron Disease & Frontotemporal Dementia Presenting with a Conversion Disorder
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Wibawa, Pierre, primary, O’Connor, Rachel, additional, Kenchaiah, Basanth, additional, and Velakoulis, Dennis, additional
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- 2023
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22. A case report of somatic symptom disorder as first manifestation of semantic dementia
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Ochoa, Fernando, Farrand, Sarah, Den Ouden, Lauren, Shivji, Natasha, Velakoulis, Dennis, and Kelso, Wendy
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- 2020
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23. Validity of Visuoconstructional Assessment Methods within Healthy Elderly Greek Australians: Quantitative and Error Analysis
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Staios, Mathew, primary, Nielsen, T Rune, additional, Kosmidis, Mary H, additional, Papadopoulos, Alexandra, additional, Kokkinias, Arthur, additional, Velakoulis, Dennis, additional, Tsiaras, Yiannis, additional, March, Evrim, additional, and Stolwyk, Renerus J, additional
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- 2022
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24. Childhood trauma in patients with epileptic vs nonepileptic seizures
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Yang, Tianren, primary, Roberts, Caitlin, additional, Winton‐Brown, Toby, additional, Lloyd, Michael, additional, Kwan, Patrick, additional, O'Brien, Terence J., additional, Velakoulis, Dennis, additional, Rayner, Genevieve, additional, and Malpas, Charles B., additional
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- 2022
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25. Heschl’s gyrus duplication pattern and clinical characteristics in borderline personality disorder: A preliminary study
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Takahashi, Tsutomu, primary, Sasabayashi, Daiki, additional, Velakoulis, Dennis, additional, Suzuki, Michio, additional, McGorry, Patrick D., additional, Pantelis, Christos, additional, and Chanen, Andrew M., additional
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- 2022
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26. Neuroanatomical heterogeneity and homogeneity in individuals at clinical high risk for psychosis
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Baldwin, Helen, Radua, Joaquim, Antoniades, Mathilde, Haas, Shalaila S., Frangou, Sophia, Agartz, Ingrid, Allen, Paul, Andreassen, Ole, Atkinson, Kimberley, Bachman, Peter, Baeza, Inmaculada, Bartholomeusz, Cali F., Chee, Michael W. L., Colibazzi, Tiziano, Cooper, Rebecca E., Corcoran, Cheryl M., Cropley, Vanessa L., Ebdrup, Bjørn H., Fortea, Adriana, Glenthøj, Louise Birkedal, Hamilton, Holly K., Haut, Kristen M., Hayes, Rebecca A., He, Ying, Heekeren, Karsten, Kaess, Michael, Kasai, Kiyoto, Katagiri, Naoyuki, Kim, Minah, Kindler, Jochen, Klaunig, Mallory J., Koike, Shinsuke, Koppel, Alex, Kristensen, Tina D., Bin Kwak, Yoo, Kwon, Jun Soo, Lawrie, Stephen M., Lebedeva, Irina, Lee, Jimmy, Lin, Ashleigh, Loewy, Rachel L., Mathalon, Daniel H., Michel, Chantal, Mizrahi, Romina, Møller, Paul, Nelson, Barnaby, Nemoto, Takahiro, Nordholm, Dorte, Omelchenko, Maria A., Pantelis, Christos, Raghava, Jayachandra M., Røssberg, Jan Ivar, Rössler, Wulf, Salisbury, Dean F., Sasabayashi, Daiki, Schall, Ulrich, Smigielski, Lukasz, Sugranyes, Gisela, Suzuki, Michio, Takahashi, Tsutomu, Tamnes, Christian Krog, Tang, Jinsong, Theodoridou, Anastasia, Thomopoulos, Sophia I., Tomyshev, Alexander S., Uhlhaas, Peter J., Værnes, Tor Gunnar, van Amelsvoort, Therese A. M. J., Van Erp, Theo G. M., Waltz, James A., Westlye, Lars Tjelta, Wood, Stephen J., Zhou, Juan H., McGuire, Philip, Thompson, Paul M., Jalbrzikowski, Maria, Hernaus, Dennis, Fusar-Poli, Paolo, de la Fuente-Sandoval, Camilo, Catalano, Sabrina, Hubl, Daniela, Schiffman, Jason, Venegoni, Enea D., Hooker, Christine I., Rasser, Paul E., Hegelstad, Wenche, Resch, Franz, Lemmers-Jansen, Imke L. J., Amminger, G. Paul, Chen, Xiaogang, Cho, Kang Ik K., Glenthøj, Birte Yding, de Haan, Lieuwe, Harris, Matthew A., Hwang, Wu Jeong, León-Ortiz, Pablo, Ma, Xiaoqian, McGorry, Patrick, Mora-Durán, Ricardo, Mizuno, Masafumi, Nordentoft, Merete, Ouyang, Lijun, Pariente, Jose C., Reyes-Madrigal, Francisco, Sørensen, Mikkel E., Velakoulis, Dennis, Vinogradov, Sophia, Wenneberg, Christina, Yamasue, Hidenori, Yuan, Liu, Yung, Alison R., Lee Kong Chian School of Medicine (LKCMedicine), Institute of Mental Health, Singapore, Adult Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Clinical Developmental Psychology, IBBA, Psychiatry 3, RS: MHeNs - R2 - Mental Health, MUMC+: MA Med Staf Spec Psychiatrie (9), and Psychiatrie & Neuropsychologie
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SEGMENTATION ,610 Medicine & health ,SURFACE-BASED ANALYSIS ,Cellular and Molecular Neuroscience ,SDG 3 - Good Health and Well-being ,Medisinske Fag: 700 [VDP] ,SCHIZOPHRENIA ,Humans ,Medicine [Science] ,Biological Psychiatry ,VULNERABILITY ,ABNORMALITIES ,Brain ,BRAIN STRUCTURE ,Brain/diagnostic imaging ,Magnetic Resonance Imaging ,Neuroanatomy ,Psychiatry and Mental health ,Psychotic Disorders ,ULTRA-HIGH RISK ,ONSET ,VOLUME ,Psychotic Disorders/complications ,HUMAN CEREBRAL-CORTEX - Abstract
Individuals at Clinical High Risk for Psychosis (CHR-P) demonstrate heterogeneity in clinical profiles and outcome features. However, the extent of neuroanatomical heterogeneity in the CHR-P state is largely undetermined. We aimed to quantify the neuroanatomical heterogeneity in structural magnetic resonance imaging measures of cortical surface area (SA), cortical thickness (CT), subcortical volume (SV), and intracranial volume (ICV) in CHR-P individuals compared with healthy controls (HC), and in relation to subsequent transition to a first episode of psychosis. The ENIGMA CHR-P consortium applied a harmonised analysis to neuroimaging data across 29 international sites, including 1579 CHR-P individuals and 1243 HC, offering the largest pooled CHR-P neuroimaging dataset to date. Regional heterogeneity was indexed with the Variability Ratio (VR) and Coefficient of Variation (CV) ratio applied at the group level. Personalised estimates of heterogeneity of SA, CT and SV brain profiles were indexed with the novel Person-Based Similarity Index (PBSI), with two complementary applications. First, to assess the extent of within-diagnosis similarity or divergence of neuroanatomical profiles between individuals. Second, using a normative modelling approach, to assess the 'normativeness' of neuroanatomical profiles in individuals at CHR-P. CHR-P individuals demonstrated no greater regional heterogeneity after applying FDR corrections. However, PBSI scores indicated significantly greater neuroanatomical divergence in global SA, CT and SV profiles in CHR-P individuals compared with HC. Normative PBSI analysis identified 11 CHR-P individuals (0.70%) with marked deviation (>1.5 SD) in SA, 118 (7.47%) in CT and 161 (10.20%) in SV. Psychosis transition was not significantly associated with any measure of heterogeneity. Overall, our examination of neuroanatomical heterogeneity within the CHR-P state indicated greater divergence in neuroanatomical profiles at an individual level, irrespective of psychosis conversion. Further large-scale investigations are required of those who demonstrate marked deviation. Published version HB is funded by a National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre doctoral studentship. SF is supported by the National Institute of Mental Health under grant R01MH113619. CMC is supported by R01MH107558 and R01MH115332. BN is supported by a National Health and Medical Research Council (NHMRC) Senior Research Fellowship (1137687). AL is supported by a National Health and Medical Research Council (NHMRC) Senior Research Fellowship (#1148793). CKT is supported by the Research Council of Norway (223273, 288083, 323951) and the South-Eastern Norway Regional Health Authority (2019069, 2021070, 500189). PMT is supported by NIH grants R01MH116147, P41EB015922, and R01AG058854. VC is supported by a National Health and Medical Research Council (NHMRC) Investigator Grant (1177370). LTW is supported by the European Research Council under the European Union’s Horizon 2020 research and Innovation program (ERC StG, Grant 802998). GS is supported by the Fundació Clínic Recerca Biomèdica, the Brain and Behavior Research Foundation (NARSAD Young Investigator Award 2017, grant ID: 26731), the Alicia Koplowitz Foundation and the Spanish Ministry of Health, Instituto de Salud Carlos III “Health Research Fund” (PI15/0444; PI18/0242; PI18/00976). CF-S was supported by grants 182279 and 261895 from the Consejo Nacional de Ciencia y Tecnología, grants from CONACYT’s Sistema Nacional de Investigadores, and grant R21 MH117434 from the National Institutes of Health. CP was supported by a National Health and Medical Research Council (NHMRC) Senior Principal Research Fellowship (1105825), an NHMRC L3 Investigator Grant (1196508), and NHMRC Program Grant (ID: 1150083). Core funding for ENIGMA was provided by the NIH Big Data to Knowledge (BD2K) program under consortium grant U54 EB020403 to PMT.
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- 2022
27. Sodium selenate as a therapeutic for tauopathies: A hypothesis paper
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Dilcher, Roxane, primary, Malpas, Charles B., additional, Walterfang, Mark, additional, Velakoulis, Dennis, additional, O’Brien, Terence J., additional, and Vivash, Lucy, additional
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- 2022
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28. Longitudinal Changes in White Matter Fractional Anisotropy in Adult-Onset Niemann-Pick Disease Type C Patients Treated with Miglustat
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Bowman, Elizabeth A., primary, Velakoulis, Dennis, additional, Desmond, Patricia, additional, and Walterfang, Mark, additional
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- 2017
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29. Validity of Visuoconstructional Assessment Methods within Healthy Elderly Greek Australians: Quantitative and Error Analysis.
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Staios, Mathew, Nielsen, T Rune, Kosmidis, Mary H, Papadopoulos, Alexandra, Kokkinias, Arthur, Velakoulis, Dennis, Tsiaras, Yiannis, March, Evrim, and Stolwyk, Renerus J
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AUSTRALIANS ,RECEIVER operating characteristic curves ,QUANTITATIVE research ,ALZHEIMER'S patients ,PENTAGONS - Abstract
Aims Visuospatial skills are frequently assessed with drawing tests. Research has suggested that the use of drawing tasks in low educated groups may lack the ability to discriminate healthy individuals from clinical populations. The aims of this study were to investigate the validity of visuoconstructional tests in a sample of older Greek Australian immigrants and compare their performances to a matched sample of patients with Alzheimer's disease (ad). Method We assessed visuoconstructional performances in a sample of 90 healthy older Greek Australians, with a primary school level of education, and compared performances to a demographically matched sample of 20 Greek Australians with a diagnosis of ad on four visuoconstructional drawing tests: Greek cross, four-pointed star, intersecting pentagons, and the Necker Cube. Results While healthy participants tended to outperform the ad group on most copy tasks, high fail rates within the healthy sample were observed for the intersecting pentagons and Necker cube (78% and 73% fail rates, respectively) when using established clinical cut-off scores. High rates of curved angle, omission, distorted relation between elements, spatial disorganization and three-dimensional design errors were found across the four-pointed star, intersecting pentagons, and the Necker cube in both healthy participants and those with ad. Exploratory receiver operating characteristic curve analysis revealed that, with perhaps the exception of the Greek cross, meaningful sensitivity and specificity could not be reached for the four-pointed star, intersecting pentagons, and Necker cube. Conclusion Cognitively healthy immigrants with low education appear to be at a disadvantage when completing visuoconstructional drawing tests, as their performance may be misinterpreted as indicating cognitive impairment. Future research is needed to identify alternative approaches to assess visuoconstructional ability in culturally and linguistically diverse older cohorts with limited education. [ABSTRACT FROM AUTHOR]
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- 2023
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30. Neurological Dysfunction in Early Maturity of a Model for Niemann–Pick C1 Carrier Status
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Hung, Ya Hui, Walterfang, Mark, Churilov, Leonid, Bray, Lisa, Jacobson, Laura H., Barnham, Kevin J., Jones, Nigel C., O’Brien, Terence J., Velakoulis, Dennis, and Bush, Ashley I.
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- 2016
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31. Exploring Links Between Psychosis and Frontotemporal Dementia Using Multimodal Machine Learning: Dementia Praecox Revisited
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Koutsouleris, Nikolaos, Pantelis, Christos, Kambeitz, Joseph, Toivonen, Anna, Turtonen, Otto, Botterweck, Sonja, Kluthausen, Norman, Antoch, Gerald, Caspers, Julian, Wittsack, Hans-Jörg, Blasi, Giuseppe, Pergola, Giulio, Caforio, Grazia, Salokangas, Raimo K R, Fazio, Leonardo, Quarto, Tiziana, Gelao, Barbara, Romano, Raffaella, Andriola, Ileana, Falsetti, Andrea, Barone, Marina, Passiatore, Roberta, Sangiuliano, Marina, Surmann, Marian, Hietala, Jarmo, Bienek, Olga, Dannlowski, Udo, Solana, Ana Beatriz, Abraham, Manuela, Schirmer, Timo, Ferro, Adele, Re, Marta, Sberna, Maurizio, D'Agostino, Armando, Del Fabro, Lorenzo, Bertolino, Alessandro, Perna, Giampaolo, Nobile, Maria, Balestrieri, Matteo, Bonivento, Carolina, Cabras, Giuseppe, Fabbro, Franco, Delvecchio, Giuseppe, Maggioni, Eleonora, Squarcina, Letizia, Gritti, Davide, Brambilla, Paolo, Rossetti, Maria Gloria, Ferrari, Raffaele, Hernandez, Dena Michelle Godwin, Nalls, Michael, Rohrer, Jonathan, Ramasamy, Adaikalavan, Kwok, John, Dobson-Stone, Carol, Brooks, William, Schofield, Peter, Upthegrove, Rachel, Halliday, Glenda, Hodges, John, Piguet, Olivier, Bartley, Lauren, Thompson, Elizabeth, Hernández, Isabel, Ruiz, Agustín, Boada, Mercè, Borroni, Barbara, Padovani, Alessandro, Wood, Stephen J, Cruchaga, Carlos, Cairns, Nigel, Benussi, Luisa, Binetti, Giuliano, Ghidoni, Roberta, Forloni, Gianluigi, Albani, Diego, Galimberti, Daniela, Fenoglio, Chiara, Serpente, Maria, Lencer, Rebekka, Scarpini, Elio, Clarimón, Jordi, Lleó, Alberto, Blesa, Rafael, Landqvist Waldö, Maria, Nilsson, Karin, Nilsson, Christer, Mackenzie, Ian R.A., Hsiung, Ging-Yuek, Mann, David, Borgwardt, Stefan, Grafman, Jordan, Morris, Christopher, Attems, Johannes, McKeith, Ian, Thomas, Alan, Pietrini, Pietro, Huey, Edward, Wassermann, Eric, Baborie, Atik, Jaros, Evelyn, Maj, Carlo, Tierney, Michael, Pastor, Pau, Razquin, Cristina, Ortega-Cubero, Sara, Alonso, Elena, Perneczky, Robert, Alexopoulos, Panagiotis, Kurz, Alexander, Rainero, Innocenzo, Rubino, Elisa, Velakoulis, Dennis, Nöthen, Markus M., Pinessi, Lorenzo, Rogaeva, Ekaterina, George-Hyslop, Peter, Rossi, Giacomina, Tagliavini, Fabrizio, Giaccone, Giorgio, Rowe, James, Schlachetzki, Johannes, Uphill, James, Collinge, John, Degenhardt, Franziska, Mead, Simon, Van Deerlin, Vivianna, Marschhauser, Anke, Regenbrecht, Frank, Thoene-Otto, Angelika, Gordulla, Jannis, Ballarini, Tommaso, Engel, Annerose, Pino, Daniele, Leuthold, Dominique, Polyakova, Maryna, Naumann, Heike, Grossman, Murray, Trojanowski, John Q, van der Zee, Julie, Van Broeckhofen, Christine, Cappa, Stefano F, Le Ber, Isabelle, Hannequin, Didier, Golfier, Véronique, Vercelletto, Martine, Mueller, Karsten, Brice, Alexis, Nacmias, Benedetta, Sorbi, Sandro, Bagnoli, Silvia, Piaceri, Irene, Nielsen, Jørgen E, Hjermind, Lena E, Riemenschneider, Matthias, Mayhaus, Manuel, Ibach, Bernd, Villringer, Arno, Gasparoni, Gilles, Pichler, Sabrina, Gu, Wei, Rossor, Martin N, Fox, Nick C, Warren, Jason D, Spillantini, Maria Grazia, Morris, Huw R, Rizzu, Patrizia, Heutink, Peter, Danek, Adrian, Snowden, Julie S, Rollinson, Sara, Richardson, Anna, Gerhard, Alexander, Bruni, Amalia C, Maletta, Raffaele, Frangipane, Francesca, Cupidi, Chiara, Bernardi, Livia, Anfossi, Maria, Fassbender, Klaus, Gallo, Maura, Conidi, Maria Elena, Smirne, Nicoletta, Rademakers, Rosa, Baker, Matt, Dickson, Dennis W, Graff-Radford, Neill R, Petersen, Ronald C, Knopman, David S, Josephs, Keith A, Fliessbach, Klaus, Boeve, Bradley F, Parisi, Joseph E, Seeley, William W, Miller, Bruce L, Karydas, Anna M, Rosen, Howard, van Swieten, John C, Dopper, Elise Gp, Seelaar, Harro, Pijnenburg, Yolande Al, Jahn, Holger, Scheltens, Philip, Logroscino, Giancarlo, Capozzo, Rosa, Novelli, Valeria, Puca, Annibale A, Franceschi, Massimo, Postiglione, Alfredo, Milan, Graziella, Sorrentino, Paolo, Kristiansen, Mark, Kornhuber, Johannes, Chiang, Huei-Hsin, Graff, Caroline, Pasquier, Florence, Rollin, Adeline, Deramecourt, Vincent, Lebouvier, Thibaud, Kapogiannis, Dimitrios, Ferrucci, Luigi, Pickering-Brown, Stuart, Singleton, Andrew B, McGuire, Philip, Landwehrmeyer, Bernhard, Hardy, John, Momeni, Parastoo, Barthel, Henryk, Elisa, Semler, Jolina, Lombardi, Christine, von Arnim, Felix, Oberahauser, Kai, Schumacher, Jan, Lehmbeck, Juan-Manuel, Maler, Anderl-Straub, Sarah, Tanja, Richter-Schmidinger, Anke, Hammer-Kaspereit, Timo, Oberstein, Felix, Müller-Sarnowski, Carola, Roßmeier, Albert, Ludolph, Jan, Kassubek, Anja, Schneider, Johannes, Levin, Prudlo, Johannes, Synofzik, Matthis, Wiltfang, Jens, Riedl, Lina, Diehl-Schmid, Janine, Otto, Markus, Meisenzahl, Eva, Falkai, Peter, Dwyer, Dominic B, Schroeter, Matthias L, Consortium, the PRONIA, Haas, Shalaila, Hasan, Alkomiet, Hoff, Claudius, Khanyaree, Ifrah, Melo, Aylin, Muckenhuber-Sternbauer, Susanna, Köhler, Yanis, Urquijo-Castro, Maria-Fernanda, Öztürk, Ömer, Penzel, Nora, Rangnick, Adrian, von Saldern, Sebastian, Spangemacher, Moritz, Tupac, Ana, Weiske, Johanna, Wosgien, Antonia, Krämer, Camilla, Blume, Karsten, Paul, Riya, Hedderich, Dennis, Julkowski, Dominika, Kaiser, Nathalie, Lichtenstein, Thorsten, Milz, Ruth, Nikolaides, Alexandra, Pilgram, Tanja, Seves, Mauro, Wassen, Martina, Andreou, Christina, Dong, Sen, Egloff, Laura, Harrisberger, Fabienne, Heitz, Ulrike, Lenz, Claudia, Leanza, Letizia, Mackintosh, Amatya, Smieskova, Renata, Studerus, Erich, Walter, Anna, Widmayer, Sonja, Popovic, David, Day, Chris, Lowri Griffiths, Sian, Iqbal, Mariam, Pelton, Mirabel, Mallikarjun, Pavan, Stainton, Alexandra, Lin, Ashleigh, Lalousis, Paris, Denissoff, Alexander, Ellilä, Anu, Oeztuerk, Oemer, From, Tiina, Heinimaa, Markus, Ilonen, Tuula, Jalo, Päivi, Laurikainen, Heikki, Luutonen, Antti, Mäkela, Akseli, Paju, Janina, Pesonen, Henri, Säilä, Reetta-Liina, International FTD-Genetics Consortium (IFGC), German Frontotemporal Lobar Degeneration (FTLD) Consortium, PRONIA Consortium, and International FTD-Genetics Consortium Consortium
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Adult ,Male ,Medizin ,genetics [Alzheimer Disease] ,genetics [Psychotic Disorders] ,Neuropsychological Tests ,diagnostic imaging [Frontotemporal Dementia] ,diagnostic imaging [Psychotic Disorders] ,Machine Learning ,methods [Magnetic Resonance Imaging] ,Brain ,Female ,Humans ,Magnetic Resonance Imaging ,Alzheimer Disease ,Frontotemporal Dementia ,Psychotic Disorders ,Schizophrenia ,pathology [Brain] ,genetics [Schizophrenia] ,ddc:610 ,diagnostic imaging [Brain] ,genetics [Frontotemporal Dementia] ,Settore MED/25 - Psichiatria ,Psychiatry and Mental health ,diagnostic imaging [Schizophrenia] ,diagnostic imaging [Alzheimer Disease] - Abstract
Weitere Nicht-UDE Autoren sind nicht genannt. Importance: The behavioral and cognitive symptoms of severe psychotic disorders overlap with those seen in dementia. However, shared brain alterations remain disputed, and their relevance for patients in at-risk disease stages has not been explored so far. Objective: To use machine learning to compare the expression of structural magnetic resonance imaging (MRI) patterns of behavioral-variant frontotemporal dementia (bvFTD), Alzheimer disease (AD), and schizophrenia; estimate predictability in patients with bvFTD and schizophrenia based on sociodemographic, clinical, and biological data; and examine prognostic value, genetic underpinnings, and progression in patients with clinical high-risk (CHR) states for psychosis or recent-onset depression (ROD). Design, Setting, and Participants: This study included 1870 individuals from 5 cohorts, including (1) patients with bvFTD (n = 108), established AD (n = 44), mild cognitive impairment or early-stage AD (n = 96), schizophrenia (n = 157), or major depression (n = 102) to derive and compare diagnostic patterns and (2) patients with CHR (n = 160) or ROD (n = 161) to test patterns' prognostic relevance and progression. Healthy individuals (n = 1042) were used for age-related and cohort-related data calibration. Data were collected from January 1996 to July 2019 and analyzed between April 2020 and April 2022. Main Outcomes and Measures: Case assignments based on diagnostic patterns; sociodemographic, clinical, and biological data; 2-year functional outcomes and genetic separability of patients with CHR and ROD with high vs low pattern expression; and pattern progression from baseline to follow-up MRI scans in patients with nonrecovery vs preserved recovery. Results: Of 1870 included patients, 902 (48.2%) were female, and the mean (SD) age was 38.0 (19.3) years. The bvFTD pattern comprising prefrontal, insular, and limbic volume reductions was more expressed in patients with schizophrenia (65 of 157 [41.2%]) and major depression (22 of 102 [21.6%]) than the temporo-limbic AD patterns (28 of 157 [17.8%] and 3 of 102 [2.9%], respectively). bvFTD expression was predicted by high body mass index, psychomotor slowing, affective disinhibition, and paranoid ideation (R2= 0.11). The schizophrenia pattern was expressed in 92 of 108 patients (85.5%) with bvFTD and was linked to the C9orf72 variant, oligoclonal banding in the cerebrospinal fluid, cognitive impairment, and younger age (R2= 0.29). bvFTD and schizophrenia pattern expressions forecasted 2-year psychosocial impairments in patients with CHR and were predicted by polygenic risk scores for frontotemporal dementia, AD, and schizophrenia. Findings were not associated with AD or accelerated brain aging. Finally, 1-year bvFTD/schizophrenia pattern progression distinguished patients with nonrecovery from those with preserved recovery. Conclusions and Relevance: Neurobiological links may exist between bvFTD and psychosis focusing on prefrontal and salience system alterations. Further transdiagnostic investigations are needed to identify shared pathophysiological processes underlying the neuroanatomical interface between the 2 disease spectra.
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- 2022
32. Clinical, brain, and multilevel clustering in early psychosis and affective stages
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Dwyer, Dominic B., Buciuman, Madalina-Octavia, Ruef, Anne, Kambeitz, Joseph, Sen Dong, Mark, Stinson, Caedyn, Kambeitz-Ilankovic, Lana, Degenhardt, Franziska, Sanfelici, Rachele, Antonucci, Linda A., Lalousis, Paris Alexandros, Wenzel, Julian, Urquijo-Castro, Maria Fernanda, Popovic, David, Oeztuerk, Oemer Faruk, Haas, Shalaila S., Weiske, Johanna, Hauke, Daniel, Neufang, Susanne, Schmidt-Kraepelin, Christian, Ruhrmann, Stephan, Penzel, Nora, Lichtenstein, Theresa, Rosen, Marlene, Chisholm, Katharine, Riecher-Rössler, Anita, Egloff, Laura, Schmidt, André, Andreou, Christina, Hietala, Jarmo, Schirmer, Timo, Romer, Georg, Michel, Chantal, Rössler, Wulf, Maj, Carlo, Borisov, Oleg, Krawitz, Peter M., Falkai, Peter, Pantelis, Christos, Lencer, Rebekka, Bertolino, Alessandro, Borgwardt, Stefan, Noethen, Markus, Brambilla, Paolo, Schultze-Lutter, Frauke, Meisenzahl, Eva, Wood, Stephen J., Davatzikos, Christos, Upthegrove, Rachel, Salokangas, Raimo K. R., Koutsouleris, Nikolaos, Mackintosh, Amatya, Kaiser, Nathalie, Lichtenstein, Thorsten, Seves, Mauro, Chisholm, Katie, Reniers, Renate, Stainton, Alexandra, From, Tiina, Heinimaa, Markus, Ilonen, Tuula, Jalo, Päivi, Laurikainen, Heikki, Tuominen, Lauri, Luutonen, Sinikka, Paju, Janina, Tikka, Maria, Armio (Säilä), Reetta-Liina, Toivonen, Anna, Walta, Maija, Fabbro, Franco, Balestrieri, Matteo, Bonivento, Carolina, Garzitto, Marco, Cabras, Giuseppe, Piccin, Sara, Castellani, Umberto, Bellani, Marcella, Maieron, Marta, Girometti, Rossano, Zuiani, Chiara, Skafidas, Stan, Velakoulis, Dennis, Everall, Ian, Merritt, Antonia, Jovicevic, Michael, Plicht, Manuel, Bequé, Dirk, Solana Sánchez, Ana Beatriz, Hehn, Nicolas, Herrmann, Katrin, Burke, Michael X., Fernandez, Brice, Altamura, Carlo, Rango, Mario, Ferro, Adele, Belleri, Marika, Maggioni, Eleonora, Squarcina, Letizia, Re, Marta, Delvecchio, Giuseppe, Meneghelli, Anna, Monzani, Emiliano, Sassi, Roberto, Sberna, Maurizio, Gennari, Luciana, Torremante, Patrizia, Surmann, Marian, Dannlowski, Udo, Bienek, Olga, Blasi, Giuseppe, Pergola, Giulio, Quarto, Tiziana, Andriola, Ileana, Romano, Raffaella, Gelao, Barbara, Fazio, Leonardo, Korda, Alexandra, Rohner, Henrik, Mann, Matthias, Geyer, Phillip, Treit, Peter, Müller, Johannes, Frackowiak, Richard, Wasserman, Danuta, Maier, Wolfgang, Binder, Elisabeth, Woopen, Christiane, Spranger, Tade Matthias, Möhrmann, Karl-Heinz, and PRONIA Consortium
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Adult ,Male ,Psychiatry and Mental health ,Psychotic Disorders ,Schizophrenia ,Medizin ,Brain ,Cluster Analysis ,Humans ,Female ,Longitudinal Studies ,610 Medizin und Gesundheit ,Original Investigation - Abstract
Importance Approaches are needed to stratify individuals in early psychosis stages beyond positive symptom severity to investigate specificity related to affective and normative variation and to validate solutions with premorbid, longitudinal, and genetic risk measures. Objective To use machine learning techniques to cluster, compare, and combine subgroup solutions using clinical and brain structural imaging data from early psychosis and depression stages. Design, Setting, and Participants A multisite, naturalistic, longitudinal cohort study (10 sites in 5 European countries; including major follow-up intervals at 9 and 18 months) with a referred patient sample of those with clinical high risk for psychosis (CHR-P), recent-onset psychosis (ROP), recent-onset depression (ROD), and healthy controls were recruited between February 1, 2014, to July 1, 2019. Data were analyzed between January 2020 and January 2022. Main Outcomes and Measures A nonnegative matrix factorization technique separately decomposed clinical (287 variables) and parcellated brain structural volume (204 gray, white, and cerebrospinal fluid regions) data across CHR-P, ROP, ROD, and healthy controls study groups. Stability criteria determined cluster number using nested cross-validation. Validation targets were compared across subgroup solutions (premorbid, longitudinal, and schizophrenia polygenic risk scores). Multiclass supervised machine learning produced a transferable solution to the validation sample. Results There were a total of 749 individuals in the discovery group and 610 individuals in the validation group. Individuals included those with CHR-P (n = 287), ROP (n = 323), ROD (n = 285), and healthy controls (n = 464), The mean (SD) age was 25.1 (5.9) years, and 702 (51.7%) were female. A clinical 4-dimensional solution separated individuals based on positive symptoms, negative symptoms, depression, and functioning, demonstrating associations with all validation targets. Brain clustering revealed a subgroup with distributed brain volume reductions associated with negative symptoms, reduced performance IQ, and increased schizophrenia polygenic risk scores. Multilevel results distinguished between normative and illness-related brain differences. Subgroup results were largely validated in the external sample. Conclusions and Relevance The results of this longitudinal cohort study provide stratifications beyond the expression of positive symptoms that cut across illness stages and diagnoses. Clinical results suggest the importance of negative symptoms, depression, and functioning. Brain results suggest substantial overlap across illness stages and normative variation, which may highlight a vulnerability signature independent from specific presentations. Premorbid, longitudinal, and genetic risk validation suggested clinical importance of the subgroups to preventive treatments.
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- 2022
33. Neuroanatomical Predictors of Functional Outcome in Individuals at Ultra-High Risk for Psychosis
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Reniers, Renate L. E. P., Lin, Ashleigh, Yung, Alison R., Koutsouleris, Nikolaos, Nelson, Barnaby, Cropley, Vanessa L., Velakoulis, Dennis, McGorry, Patrick D., Pantelis, Christos, and Wood, Stephen J.
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- 2017
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34. Childhood trauma in patients with epileptic vs nonepileptic seizures.
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Yang, Tianren, Roberts, Caitlin, Winton‐Brown, Toby, Lloyd, Michael, Kwan, Patrick, O'Brien, Terence J., Velakoulis, Dennis, Rayner, Genevieve, and Malpas, Charles B.
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ADVERSE childhood experiences ,PSYCHOGENIC nonepileptic seizures ,PEOPLE with epilepsy ,PSYCHOLOGICAL abuse ,SEIZURES (Medicine) ,POST-traumatic stress disorder - Abstract
Objective: Childhood trauma has been implicated as a risk factor for the etiology of psychogenic nonepileptic seizures (PNES). Relatively little attention has been paid to whether profiles of specific trauma types differ between patients with epilepsy and PNES. Investigating childhood trauma profiles in these patient groups may identify psychological vulnerabilities that predispose to developing PNES, and aid early diagnoses, prevention, and treatment. Methods: Data were collected from two cohorts (nRetrospective = 203; nProspective = 209) admitted to video–electroencephalography (EEG) monitoring units in Melbourne Australia. The differences in Childhood Trauma Questionnaire domain score between patient groups were investigated using standardized effect sizes and general linear mixed‐effects models (GLMMs). Receiver‐operating characteristic curves were used to investigate classification accuracy. Results: In the retrospective cohort, patients diagnosed with PNES reported greater childhood emotional abuse, emotional neglect, physical abuse, sexual abuse, and physical neglect relative to patients with epilepsy. These differences were replicated in the prospective cohort, except for physical abuse. GLMMs revealed significant main effects for group in both cohorts, but no evidence for any group by domain interactions. Reported sexual abuse showed the best screening performance of PNES, although no psychometric scores were adequate as isolated measures. Significance: Patients with PNES report a greater frequency of childhood trauma than patients with epilepsy. This effect appears to hold across all trauma types, with no strong evidence emerging for a particular trauma type that is more prevalent in PNES. From a practical perspective, inquiry regarding a history of sexual abuse shows the most promise as a screening measure. [ABSTRACT FROM AUTHOR]
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- 2023
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35. A phase 1b open‐label study of sodium selenate as a disease‐modifying treatment for possible behavioral variant frontotemporal dementia
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Vivash, Lucy, primary, Malpas, Charles B., additional, Meletis, Christian, additional, Gollant, Meghan, additional, Eratne, Dhamidhu, additional, Li, Qiao‐Xin, additional, McDonald, Stuart, additional, O'Brien, William T., additional, Brodtmann, Amy, additional, Darby, David, additional, Kyndt, Christopher, additional, Walterfang, Mark, additional, Hovens, Christopher M., additional, Velakoulis, Dennis, additional, and O'Brien, Terence J., additional
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- 2022
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36. The ENIGMA‐Epilepsy working group: Mapping disease from large data sets
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Sisodiya, Sanjay M., Whelan, Christopher D., Hatton, Sean N., Huynh, Khoa, Altmann, Andre, Ryten, Mina, Vezzani, Annamaria, Caligiuri, Maria Eugenia, Labate, Angelo, Gambardella, Antonio, Ives‐Deliperi, Victoria, Meletti, Stefano, Munsell, Brent C., Bonilha, Leonardo, Tondelli, Manuela, Rebsamen, Michael, Rummel, Christian, Vaudano, Anna Elisabetta, Wiest, Roland, Balachandra, Akshara R., Bargalló, Núria, Bartolini, Emanuele, Bernasconi, Andrea, Bernasconi, Neda, Bernhardt, Boris, Caldairou, Benoit, Carr, Sarah J.A., Cavalleri, Gianpiero L., Cendes, Fernando, Concha, Luis, Desmond, Patricia M., Domin, Martin, Duncan, John S., Focke, Niels K., Guerrini, Renzo, Hamandi, Khalid, Jackson, Graeme D., Jahanshad, Neda, Kälviäinen, Reetta, Keller, Simon S., Kochunov, Peter, Kowalczyk, Magdalena A., Kreilkamp, Barbara A.K., Kwan, Patrick, Lariviere, Sara, Lenge, Matteo, Lopez, Seymour M., Martin, Pascal, Mascalchi, Mario, Moreira, José C.V., Morita‐Sherman, Marcia E., Pardoe, Heath R., Pariente, Jose C., Raviteja, Kotikalapudi, Rocha, Cristiane S., Rodríguez‐Cruces, Raúl, Seeck, Margitta, Semmelroch, Mira K.H.G., Sinclair, Benjamin, Soltanian‐Zadeh, Hamid, Stein, Dan J., Striano, Pasquale, Taylor, Peter N., Thomas, Rhys H., Thomopoulos, Sophia I., Velakoulis, Dennis, Vivash, Lucy, Weber, Bernd, Yasuda, Clarissa Lin, Zhang, Junsong, Thompson, Paul M., McDonald, Carrie R., Abela, Eugenio, Absil, Julie, Adams, Sophia, Alhusaini, Saud, Alvim, Marina, Balestrini, Simona, Bender, Benjamin, Bergo, Felipe, Bernardes, Tauana, Calvo, Anna, Carreno, Mar, Cherubini, Andrea, David, Philippe, Davoodi‐Bojd, Esmaeil, Delanty, Norman, Depondt, Chantal, Devinsky, Orrin, Doherty, Colin, França, Wendy Caroline, Franceschet, Leticia, Hibar, Derrek P., Ishikawa, Akari, Kaestner, Erik, Langner, Soenke, Liu, Min, Mirandola, Laura, Naylor, Jillian, Nazem‐Zadeh, Mohammad‐reza, O'Brien, Terence J., Ribeiro, Letícia F., Richardson, Mark, Rosenow, Felix, Severino, Mariasavina, Shuai, Chen, Tortora, Domenico, von Podewils, Felix, Vos, Sjoerd B., Wagner, Jan, and Zhang, Guohao
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Connectomics ,Disease ,Review Article ,rsfMRI ,050105 experimental psychology ,03 medical and health sciences ,Epilepsy ,0302 clinical medicine ,Neuroimaging ,quantitative ,Medical imaging ,medicine ,0501 psychology and cognitive sciences ,Radiology, Nuclear Medicine and imaging ,genetics ,Review Articles ,Cognitive science ,Radiological and Ultrasound Technology ,Resting state fMRI ,event-based modeling ,covariance ,deep learning ,DTI ,gene expression ,imaging ,MRI ,05 social sciences ,event‐based modeling ,medicine.disease ,Neurology ,Epilepsy syndromes ,Neurology (clinical) ,Anatomy ,Age of onset ,030217 neurology & neurosurgery - Abstract
Epilepsy is a common and serious neurological disorder, with many different constituent conditions characterized by their electro clinical, imaging, and genetic features. MRI has been fundamental in advancing our understanding of brain processes in the epilepsies. Smaller‐scale studies have identified many interesting imaging phenomena, with implications both for understanding pathophysiology and improving clinical care. Through the infrastructure and concepts now well‐established by the ENIGMA Consortium, ENIGMA‐Epilepsy was established to strengthen epilepsy neuroscience by greatly increasing sample sizes, leveraging ideas and methods established in other ENIGMA projects, and generating a body of collaborating scientists and clinicians to drive forward robust research. Here we review published, current, and future projects, that include structural MRI, diffusion tensor imaging (DTI), and resting state functional MRI (rsfMRI), and that employ advanced methods including structural covariance, and event‐based modeling analysis. We explore age of onset‐ and duration‐related features, as well as phenomena‐specific work focusing on particular epilepsy syndromes or phenotypes, multimodal analyses focused on understanding the biology of disease progression, and deep learning approaches. We encourage groups who may be interested in participating to make contact to further grow and develop ENIGMA‐Epilepsy.
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- 2020
37. Confirming Pathogenicity of the F386L PSEN1 Variant in a South Asian Family With Early-Onset Alzheimer Disease
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Eger, Sarah J., primary, Le Guen, Yann, additional, Khan, Raiyan R., additional, Hall, Jacob N., additional, Kennedy, Gabriel, additional, Zaharchuk, Greg, additional, Couthouis, Julien, additional, Brooks, William S., additional, Velakoulis, Dennis, additional, Napolioni, Valerio, additional, Belloy, Michaël E., additional, Dalgard, Clifton L., additional, Mormino, Elizabeth C., additional, Gitler, Aaron D., additional, and Greicius, Michael D., additional
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- 2021
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38. Sodium selenate as a disease-modifying treatment for mild–moderate Alzheimer’s disease: an open-label extension study
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Vivash, Lucy, primary, Malpas, Charles B, additional, Hovens, Christopher M, additional, Brodtmann, Amy, additional, Collins, Steven, additional, Macfarlane, Stephen, additional, Velakoulis, Dennis, additional, and O’Brien, Terence J, additional
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- 2021
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39. Sodium selenate as a disease-modifying treatment for progressive supranuclear palsy: protocol for a phase 2, randomised, double-blind, placebo-controlled trial
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Vivash, Lucy, primary, Bertram, Kelly L, additional, Malpas, Charles B, additional, Marotta, Cassandra, additional, Harding, Ian H, additional, Kolbe, Scott, additional, Fielding, Joanne, additional, Clough, Meaghan, additional, Lewis, Simon J G, additional, Tisch, Stephen, additional, Evans, Andrew H, additional, O’Sullivan, John D, additional, Kimber, Thomas, additional, Darby, David, additional, Churilov, Leonid, additional, Law, Meng, additional, Hovens, Christopher M, additional, Velakoulis, Dennis, additional, and O’Brien, Terence J, additional
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- 2021
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40. Heschl's gyrus duplication pattern and clinical characteristics in borderline personality disorder: A preliminary study.
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Tsutomu Takahashi, Sasabayashi, Daiki, Velakoulis, Dennis, Suzuki, Michio, McGorry, Patrick D., Pantelis, Christos, and Chanen, Andrew M.
- Abstract
Inter-individual variations in the sulco-gyral pattern of Heschl's gyrus (HG) might contribute to emotional processing. However, it remains largely unknown whether borderline personality disorder (BPD) patients exhibit an altered HG gyrification pattern, compared with healthy individuals, and whether such a brain morphological feature, if present, might contribute to their clinical characteristics. The present study used magnetic resonance imaging to investigate the distribution of HG gyrification patterns (single or duplicated) and their relationship to clinical characteristics in teenage BPD patients with minimal treatment exposure. No significant difference was noted for the prevalence of HG patterns between 20 BPD and 20 healthy participants. However, the BPD participants with left duplicated HG were characterized by higher prevalence of comorbid disruptive behavior disorders, with higher externalizing score compared with those with left single HG. Our preliminary results suggest that neurodevelopmental pathology associated with gyral formation might be implicated in the neurobiology of early BPD, especially for emotional and behavioral control. [ABSTRACT FROM AUTHOR]
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- 2022
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41. White matter microstructure in patients with obsessive-compulsive disorder
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Bora, Emre, Harrison, Ben J., Fornito, Alex, Cocchi, Luca, Pujol, Jesus, Fontenelle, Leonardo F., Velakoulis, Dennis, Pantelis, Christos, and Yucel, Murat
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Obsessive-compulsive disorder -- Diagnosis -- Physiological aspects ,Magnetic resonance imaging -- Methods ,Health ,Psychology and mental health - Abstract
Background: Previous diffusion tensor imaging (DTI) studies in patients with obsessive-compulsive disorder (OCD) have reported inconsistent findings, and it is not known whether observed findings are related to abnormalities in axonal structure or myelination. Methods: In this DTI study, we investigated fractional anisotropy, as well as axial and radial diffusivity, in 21 patients with OCD and 29 healthy controls. Results: We found decreased fractional anisotropy in the body of the corpus callosum in the OCD group, which was underpinned by increased radial diffusivity. Limitations: The cross-sectional design was the main limitation. Conclusion: Our findings of increased radial diffusivity provide preliminary evidence for abnormal myelination in patients with OCD., Introduction Most widely accepted models of obsessive-compulsive disorder (OCD) suggest that abnormalities of cortico-striatal circuits involving the orbitofrontal cortex, anterior cingulate cortex, thalamus and striatum play an important role in [...]
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- 2011
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42. Callosal morphology in schizophrenia: what can shape tell us about function and illness?
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Walterfang, Mark and Velakoulis, Dennis
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- 2014
43. Clinical predictors of discordance between screening tests and psychiatric assessment for depressive and anxiety disorders among patients being evaluated for seizure disorders
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Holper, Sarah, primary, Foster, Emma, additional, Lloyd, Michael, additional, Rayner, Genevieve, additional, Rychkova, Maria, additional, Ali, Rashida, additional, Winton‐Brown, Toby T., additional, Velakoulis, Dennis, additional, O’Brien, Terence J., additional, Kwan, Patrick, additional, and Malpas, Charles B., additional
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- 2021
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44. Predictors of New-Onset Epilepsy in People With Younger-Onset Neurocognitive Disorders
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Wang, Xinshi, primary, Loi, Samantha M., additional, Foster, Emma, additional, Chen, Zhibin, additional, Velakoulis, Dennis, additional, and Kwan, Patrick, additional
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- 2021
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45. Systematic Review: Quantitative Susceptibility Mapping (QSM) of Brain Iron Profile in Neurodegenerative Diseases
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Ravanfar, Parsa, primary, Loi, Samantha M., additional, Syeda, Warda T., additional, Van Rheenen, Tamsyn E., additional, Bush, Ashley I., additional, Desmond, Patricia, additional, Cropley, Vanessa L., additional, Lane, Darius J. R., additional, Opazo, Carlos M., additional, Moffat, Bradford A., additional, Velakoulis, Dennis, additional, and Pantelis, Christos, additional
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- 2021
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46. Erratum: Recommendations to distinguish behavioural variant frontotemporal dementia from psychiatric disorders (Brain (2020) 143 DOI: 10.1093/brain/awaa018)
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Ducharme, Simon, Dols, Annemiek, Laforce, Robert, Devenney, Emma, Kumfor, Fiona, van den Stock, Jan, Dallaire-Théroux, Caroline, Seelaar, Harro, Gossink, Flora, Vijverberg, Everard, Huey, Edward, Vandenbulcke, Mathieu, Masellis, Mario, Trieu, Calvin, Onyike, Chiadi, Caramelli, Paulo, de Souza, Leonardo Cruz, Santillo, Alexander, Waldö, Maria Landqvist, Landin-Romero, Ramon, Piguet, Olivier, Kelso, Wendy, Eratne, Dhamidhu, Velakoulis, Dennis, Ikeda, Manabu, Perry, David, Pressman, Peter, Boeve, Bradley, Vandenberghe, Rik, Mendez, Mario, Azuar, Carole, Levy, Richard, Le Ber, Isabelle, Baez, Sandra, Lerner, Alan, Ellajosyula, Ratnavalli, Pasquier, Florence, Galimberti, Daniela, Scarpini, Elio, van Swieten, John, Hornberger, Michael, Rosen, Howard, Hodges, John, Diehl-Schmid, Janine, Pijnenburg, Yolande, Neurology, Psychiatry, Amsterdam Neuroscience - Neurodegeneration, Human genetics, and APH - Mental Health
- Abstract
The authors apologize for misspelling the last name of the author Ratnavalli Ellajosyula. This has now been corrected.
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- 2020
47. A study protocol for a phase II randomised, double-blind, placebo-controlled trial of sodium selenate as a disease-modifying treatment for behavioural variant frontotemporal dementia
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Vivash, Lucy, primary, Malpas, Charles B, additional, Churilov, Leonid, additional, Walterfang, Mark, additional, Brodtmann, Amy, additional, Piguet, Olivier, additional, Ahmed, Rebekah M, additional, Bush, Ashley I, additional, Hovens, Christopher M, additional, Kalincik, T, additional, Darby, David, additional, Velakoulis, Dennis, additional, and O'Brien, Terence J, additional
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- 2020
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48. Peduncular hallucinosis secondary to central pontine myelinolysis
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Walterfang, Mark, Goh, Anita, Mocellin, Ramon, Evans, Andrew, and Velakoulis, Dennis
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- 2012
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49. Psychiatric history does not predict seizure outcome following temporal lobectomy for mesial temporal sclerosis
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Adams, Sophia J., Velakoulis, Dennis, Kaye, Andrew H., Corcoran, Niall M., and OʼBrien, Terence J.
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- 2012
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50. Volumetric Abnormalities Predating the Onset of Schizophrenia and Affective Psychoses: An MRI Study in Subjects at Ultrahigh Risk of Psychosis
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Dazzan, Paola, Soulsby, Bridget, Mechelli, Andrea, Wood, Stephen J., Velakoulis, Dennis, Phillips, Lisa J., Yung, Alison R., Chitnis, Xavier, Lin, Ashleigh, Murray, Robin M., McGorry, Patrick D., McGuire, Philip K., and Pantelis, Christos
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- 2012
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