581 results on '"Bonilha, Leonardo"'
Search Results
2. Concurrent tDCS-fMRI after stroke reveals link between attention network organization and motor improvement
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Salazar, Claudia A., Welsh, James M., Lench, Daniel, Harmsen, Irene E., Jensen, Jens H., Grewal, Parneet, Yazdani, Milad, Al Kasab, Sami, Spiotta, Alex, Bonilha, Leonardo, George, Mark S., Kautz, Steven A., and Rowland, Nathan C.
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- 2024
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3. The stroke outcome optimization project: Acute ischemic strokes from a comprehensive stroke center
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Absher, John, Goncher, Sarah, Newman-Norlund, Roger, Perkins, Nicholas, Yourganov, Grigori, Vargas, Jan, Sivakumar, Sanjeev, Parti, Naveen, Sternberg, Shannon, Teghipco, Alex, Gibson, Makayla, Wilson, Sarah, Bonilha, Leonardo, and Rorden, Chris
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- 2024
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4. Distinct brain morphometry patterns revealed by deep learning improve prediction of post-stroke aphasia severity
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Teghipco, Alex, Newman-Norlund, Roger, Fridriksson, Julius, Rorden, Christopher, and Bonilha, Leonardo
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- 2024
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5. Regional brain aging: premature aging of the domain general system predicts aphasia severity
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Busby, Natalie, Newman-Norlund, Sarah, Sayers, Sara, Rorden, Chris, Newman-Norlund, Roger, Wilmskoetter, Janina, Roth, Rebecca, Wilson, Sarah, Schwen-Blackett, Deena, Kristinsson, Sigfus, Teghipco, Alex, Fridriksson, Julius, and Bonilha, Leonardo
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- 2024
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6. Event‐based modeling in temporal lobe epilepsy demonstrates progressive atrophy from cross‐sectional data
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Lopez, Seymour M, Aksman, Leon M, Oxtoby, Neil P, Vos, Sjoerd B, Rao, Jun, Kaestner, Erik, Alhusaini, Saud, Alvim, Marina, Bender, Benjamin, Bernasconi, Andrea, Bernasconi, Neda, Bernhardt, Boris, Bonilha, Leonardo, Caciagli, Lorenzo, Caldairou, Benoit, Caligiuri, Maria Eugenia, Calvet, Angels, Cendes, Fernando, Concha, Luis, Conde‐Blanco, Estefania, Davoodi‐Bojd, Esmaeil, de Bézenac, Christophe, Delanty, Norman, Desmond, Patricia M, Devinsky, Orrin, Domin, Martin, Duncan, John S, Focke, Niels K, Foley, Sonya, Fortunato, Francesco, Galovic, Marian, Gambardella, Antonio, Gleichgerrcht, Ezequiel, Guerrini, Renzo, Hamandi, Khalid, Ives‐Deliperi, Victoria, Jackson, Graeme D, Jahanshad, Neda, Keller, Simon S, Kochunov, Peter, Kotikalapudi, Raviteja, Kreilkamp, Barbara AK, Labate, Angelo, Larivière, Sara, Lenge, Matteo, Lui, Elaine, Malpas, Charles, Martin, Pascal, Mascalchi, Mario, Medland, Sarah E, Meletti, Stefano, Morita‐Sherman, Marcia E, Owen, Thomas W, Richardson, Mark, Riva, Antonella, Rüber, Theodor, Sinclair, Ben, Soltanian‐Zadeh, Hamid, Stein, Dan J, Striano, Pasquale, Taylor, Peter N, Thomopoulos, Sophia I, Thompson, Paul M, Tondelli, Manuela, Vaudano, Anna Elisabetta, Vivash, Lucy, Wang, Yujiang, Weber, Bernd, Whelan, Christopher D, Wiest, Roland, Winston, Gavin P, Yasuda, Clarissa Lin, McDonald, Carrie R, Alexander, Daniel C, Sisodiya, Sanjay M, Altmann, Andre, Bargalló, Núria, Bartolini, Emanuele, O’Brien, Terence J, and Thomas, Rhys H
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Brain Disorders ,Epilepsy ,Neurodegenerative ,Neurosciences ,Clinical Research ,Biomedical Imaging ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Good Health and Well Being ,Atrophy ,Biomarkers ,Cross-Sectional Studies ,Epilepsy ,Temporal Lobe ,Hippocampus ,Humans ,Magnetic Resonance Imaging ,Sclerosis ,disease progression ,duration of illness ,event-based model ,MTLE ,patient staging ,ENIGMA-Epilepsy Working Group ,Clinical Sciences ,Neurology & Neurosurgery - Abstract
ObjectiveRecent work has shown that people with common epilepsies have characteristic patterns of cortical thinning, and that these changes may be progressive over time. Leveraging a large multicenter cross-sectional cohort, we investigated whether regional morphometric changes occur in a sequential manner, and whether these changes in people with mesial temporal lobe epilepsy and hippocampal sclerosis (MTLE-HS) correlate with clinical features.MethodsWe extracted regional measures of cortical thickness, surface area, and subcortical brain volumes from T1-weighted (T1W) magnetic resonance imaging (MRI) scans collected by the ENIGMA-Epilepsy consortium, comprising 804 people with MTLE-HS and 1625 healthy controls from 25 centers. Features with a moderate case-control effect size (Cohen d ≥ .5) were used to train an event-based model (EBM), which estimates a sequence of disease-specific biomarker changes from cross-sectional data and assigns a biomarker-based fine-grained disease stage to individual patients. We tested for associations between EBM disease stage and duration of epilepsy, age at onset, and antiseizure medicine (ASM) resistance.ResultsIn MTLE-HS, decrease in ipsilateral hippocampal volume along with increased asymmetry in hippocampal volume was followed by reduced thickness in neocortical regions, reduction in ipsilateral thalamus volume, and finally, increase in ipsilateral lateral ventricle volume. EBM stage was correlated with duration of illness (Spearman ρ = .293, p = 7.03 × 10-16 ), age at onset (ρ = -.18, p = 9.82 × 10-7 ), and ASM resistance (area under the curve = .59, p = .043, Mann-Whitney U test). However, associations were driven by cases assigned to EBM Stage 0, which represents MTLE-HS with mild or nondetectable abnormality on T1W MRI.SignificanceFrom cross-sectional MRI, we reconstructed a disease progression model that highlights a sequence of MRI changes that aligns with previous longitudinal studies. This model could be used to stage MTLE-HS subjects in other cohorts and help establish connections between imaging-based progression staging and clinical features.
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- 2022
7. Topographic divergence of atypical cortical asymmetry and atrophy patterns in temporal lobe epilepsy
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Park, Bo-yong, Larivière, Sara, Rodríguez-Cruces, Raul, Royer, Jessica, Tavakol, Shahin, Wang, Yezhou, Caciagli, Lorenzo, Caligiuri, Maria Eugenia, Gambardella, Antonio, Concha, Luis, Keller, Simon S, Cendes, Fernando, Alvim, Marina KM, Yasuda, Clarissa, Bonilha, Leonardo, Gleichgerrcht, Ezequiel, Focke, Niels K, Kreilkamp, Barbara AK, Domin, Martin, von Podewils, Felix, Langner, Soenke, Rummel, Christian, Rebsamen, Michael, Wiest, Roland, Martin, Pascal, Kotikalapudi, Raviteja, Bender, Benjamin, O’Brien, Terence J, Law, Meng, Sinclair, Benjamin, Vivash, Lucy, Kwan, Patrick, Desmond, Patricia M, Malpas, Charles B, Lui, Elaine, Alhusaini, Saud, Doherty, Colin P, Cavalleri, Gianpiero L, Delanty, Norman, Kälviäinen, Reetta, Jackson, Graeme D, Kowalczyk, Magdalena, Mascalchi, Mario, Semmelroch, Mira, Thomas, Rhys H, Soltanian-Zadeh, Hamid, Davoodi-Bojd, Esmaeil, Zhang, Junsong, Lenge, Matteo, Guerrini, Renzo, Bartolini, Emanuele, Hamandi, Khalid, Foley, Sonya, Weber, Bernd, Depondt, Chantal, Absil, Julie, Carr, Sarah JA, Abela, Eugenio, Richardson, Mark P, Devinsky, Orrin, Severino, Mariasavina, Striano, Pasquale, Parodi, Costanza, Tortora, Domenico, Hatton, Sean N, Vos, Sjoerd B, Duncan, John S, Galovic, Marian, Whelan, Christopher D, Bargalló, Núria, Pariente, Jose, Conde-Blanco, Estefania, Vaudano, Anna Elisabetta, Tondelli, Manuela, Meletti, Stefano, Kong, Xiang‐Zhen, Francks, Clyde, Fisher, Simon E, Caldairou, Benoit, Ryten, Mina, Labate, Angelo, Sisodiya, Sanjay M, Thompson, Paul M, McDonald, Carrie R, Bernasconi, Andrea, Bernasconi, Neda, and Bernhardt, Boris C
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Epilepsy ,Neurodegenerative ,Clinical Research ,Brain Disorders ,Neurosciences ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Adult ,Atrophy ,Connectome ,Epilepsy ,Temporal Lobe ,Hippocampus ,Humans ,Magnetic Resonance Imaging ,temporal lobe epilepsy ,asymmetry ,cortical thickness ,multi-site ,gradients ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Neurology & Neurosurgery - Abstract
Temporal lobe epilepsy, a common drug-resistant epilepsy in adults, is primarily a limbic network disorder associated with predominant unilateral hippocampal pathology. Structural MRI has provided an in vivo window into whole-brain grey matter structural alterations in temporal lobe epilepsy relative to controls, by either mapping (i) atypical inter-hemispheric asymmetry; or (ii) regional atrophy. However, similarities and differences of both atypical asymmetry and regional atrophy measures have not been systematically investigated. Here, we addressed this gap using the multisite ENIGMA-Epilepsy dataset comprising MRI brain morphological measures in 732 temporal lobe epilepsy patients and 1418 healthy controls. We compared spatial distributions of grey matter asymmetry and atrophy in temporal lobe epilepsy, contextualized their topographies relative to spatial gradients in cortical microstructure and functional connectivity calculated using 207 healthy controls obtained from Human Connectome Project and an independent dataset containing 23 temporal lobe epilepsy patients and 53 healthy controls and examined clinical associations using machine learning. We identified a marked divergence in the spatial distribution of atypical inter-hemispheric asymmetry and regional atrophy mapping. The former revealed a temporo-limbic disease signature while the latter showed diffuse and bilateral patterns. Our findings were robust across individual sites and patients. Cortical atrophy was significantly correlated with disease duration and age at seizure onset, while degrees of asymmetry did not show a significant relationship to these clinical variables. Our findings highlight that the mapping of atypical inter-hemispheric asymmetry and regional atrophy tap into two complementary aspects of temporal lobe epilepsy-related pathology, with the former revealing primary substrates in ipsilateral limbic circuits and the latter capturing bilateral disease effects. These findings refine our notion of the neuropathology of temporal lobe epilepsy and may inform future discovery and validation of complementary MRI biomarkers in temporal lobe epilepsy.
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- 2022
8. Dynamic network properties of the superior temporal gyrus mediate the impact of brain age gap on chronic aphasia severity
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Wilmskoetter, Janina, Busby, Natalie, He, Xiaosong, Caciagli, Lorenzo, Roth, Rebecca, Kristinsson, Sigfus, Davis, Kathryn A., Rorden, Chris, Bassett, Dani S., Fridriksson, Julius, and Bonilha, Leonardo
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- 2023
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9. MRI-based deep learning can discriminate between temporal lobe epilepsy, Alzheimer’s disease, and healthy controls
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Chang, Allen J., Roth, Rebecca, Bougioukli, Eleni, Ruber, Theodor, Keller, Simon S., Drane, Daniel L., Gross, Robert E., Welsh, James, Abrol, Anees, Calhoun, Vince, Karakis, Ioannis, Kaestner, Erik, Weber, Bernd, McDonald, Carrie, Gleichgerrcht, Ezequiel, and Bonilha, Leonardo
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- 2023
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10. 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
11. Structural network alterations in focal and generalized epilepsy assessed in a worldwide ENIGMA study follow axes of epilepsy risk gene expression
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Larivière, Sara, Royer, Jessica, Rodríguez-Cruces, Raúl, Paquola, Casey, Caligiuri, Maria Eugenia, Gambardella, Antonio, Concha, Luis, Keller, Simon S, Cendes, Fernando, Yasuda, Clarissa L, Bonilha, Leonardo, Gleichgerrcht, Ezequiel, Focke, Niels K, Domin, Martin, von Podewills, Felix, Langner, Soenke, Rummel, Christian, Wiest, Roland, Martin, Pascal, Kotikalapudi, Raviteja, O’Brien, Terence J, Sinclair, Benjamin, Vivash, Lucy, Desmond, Patricia M, Lui, Elaine, Vaudano, Anna Elisabetta, Meletti, Stefano, Tondelli, Manuela, Alhusaini, Saud, Doherty, Colin P, Cavalleri, Gianpiero L, Delanty, Norman, Kälviäinen, Reetta, Jackson, Graeme D, Kowalczyk, Magdalena, Mascalchi, Mario, Semmelroch, Mira, Thomas, Rhys H, Soltanian-Zadeh, Hamid, Davoodi-Bojd, Esmaeil, Zhang, Junsong, Winston, Gavin P, Griffin, Aoife, Singh, Aditi, Tiwari, Vijay K, Kreilkamp, Barbara AK, Lenge, Matteo, Guerrini, Renzo, Hamandi, Khalid, Foley, Sonya, Rüber, Theodor, Weber, Bernd, Depondt, Chantal, Absil, Julie, Carr, Sarah JA, Abela, Eugenio, Richardson, Mark P, Devinsky, Orrin, Severino, Mariasavina, Striano, Pasquale, Tortora, Domenico, Kaestner, Erik, Hatton, Sean N, Vos, Sjoerd B, Caciagli, Lorenzo, Duncan, John S, Whelan, Christopher D, Thompson, Paul M, Sisodiya, Sanjay M, Bernasconi, Andrea, Labate, Angelo, McDonald, Carrie R, Bernasconi, Neda, and Bernhardt, Boris C
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Neurodegenerative ,Genetics ,Neurosciences ,Brain Disorders ,Epilepsy ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Adult ,Connectome ,Epilepsy ,Generalized ,Epilepsy ,Temporal Lobe ,Gene Expression ,Humans ,Immunoglobulin E ,Magnetic Resonance Imaging ,Nerve Net - Abstract
Epilepsy is associated with genetic risk factors and cortico-subcortical network alterations, but associations between neurobiological mechanisms and macroscale connectomics remain unclear. This multisite ENIGMA-Epilepsy study examined whole-brain structural covariance networks in patients with epilepsy and related findings to postmortem epilepsy risk gene expression patterns. Brain network analysis included 578 adults with temporal lobe epilepsy (TLE), 288 adults with idiopathic generalized epilepsy (IGE), and 1328 healthy controls from 18 centres worldwide. Graph theoretical analysis of structural covariance networks revealed increased clustering and path length in orbitofrontal and temporal regions in TLE, suggesting a shift towards network regularization. Conversely, people with IGE showed decreased clustering and path length in fronto-temporo-parietal cortices, indicating a random network configuration. Syndrome-specific topological alterations reflected expression patterns of risk genes for hippocampal sclerosis in TLE and for generalized epilepsy in IGE. These imaging-transcriptomic signatures could potentially guide diagnosis or tailor therapeutic approaches to specific epilepsy syndromes.
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- 2022
12. Progressive lesion necrosis is related to increasing aphasia severity in chronic stroke
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Johnson, Lisa, Newman-Norlund, Roger, Teghipco, Alex, Rorden, Chris, Bonilha, Leonardo, and Fridriksson, Julius
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- 2024
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13. Individualized response to semantic vs. phonological aphasia therapies in stroke
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Kristinsson, Sigfus, Basilakos, Alexandra, Elm, Jordan, Spell, Leigh Ann, Bonilha, Leonardo, Rorden, Chris, Ouden, Dirk B den, Cassarly, Christy, Sen, Souvik, Hillis, Argye, Hickok, Greg, and Fridriksson, Julius
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Aphasia ,Neurosciences ,Clinical Research ,Stroke ,Brain Disorders ,Aging ,Rehabilitation ,Aetiology ,2.1 Biological and endogenous factors ,stroke ,aphasia ,aphasia therapy ,phonological therapy ,semantic therapy - Abstract
Attempts to personalize aphasia treatment to the extent where it is possible to reliably predict individual response to a particular treatment have yielded inconclusive results. The current study aimed to (i) compare the effects of phonologically versus semantically focussed naming treatment and (ii) examine biographical and neuropsychological baseline factors predictive of response to each treatment. One hundred and four individuals with chronic post-stroke aphasia underwent 3 weeks of phonologically focussed treatment and 3 weeks of semantically focussed treatment in an unblinded cross-over design. A linear mixed-effects model was used to compare the effects of treatment type on proportional change in correct naming across groups. Correlational analysis and stepwise regression models were used to examine biographical and neuropsychological predictors of response to phonological and semantic treatment across all participants. Last, chi-square tests were used to explore the association between treatment response and phonological and semantic deficit profiles. Semantically focussed treatment was found to be more effective at the group-level, independently of treatment order (P = 0.041). Overall, milder speech and language impairment predicted good response to semantic treatment (r range: 0.256-0.373) across neuropsychological tasks. The Western Aphasia Battery-Revised Spontaneous Speech score emerged as the strongest predictor of semantic treatment response (R 2 = 0.188). Severity of stroke symptoms emerged as the strongest predictor of phonological treatment response (R 2 = 0.103). Participants who showed a good response to semantic treatment were more likely to present with fluent speech compared to poor responders (P = 0.005), whereas participants who showed a good response to phonological treatment were more likely to present with apraxia of speech (P = 0.020). These results suggest that semantic treatment may be more beneficial to the improvement of naming performance in aphasia than phonological treatment, at the group-level. In terms of personalized predictors, participants with relatively mild impairments and fluent speech responded better to semantic treatment, while phonological treatment benefitted participants with more severe impairments and apraxia of speech.
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- 2021
14. Longitudinal Progression of White Matter Hyperintensity Severity in Chronic Stroke Aphasia
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Busby, Natalie, Newman-Norlund, Roger, Wilmskoetter, Janina, Johnson, Lisa, Rorden, Chris, Gibson, Makayla, Roth, Rebecca, Wilson, Sarah, Fridriksson, Julius, and Bonilha, Leonardo
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- 2023
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15. Artificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study
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Gleichgerrcht, Ezequiel, Munsell, Brent C, Alhusaini, Saud, Alvim, Marina KM, Bargalló, Núria, Bender, Benjamin, Bernasconi, Andrea, Bernasconi, Neda, Bernhardt, Boris, Blackmon, Karen, Caligiuri, Maria Eugenia, Cendes, Fernando, Concha, Luis, Desmond, Patricia M, Devinsky, Orrin, Doherty, Colin P, Domin, Martin, Duncan, John S, Focke, Niels K, Gambardella, Antonio, Gong, Bo, Guerrini, Renzo, Hatton, Sean N, Kälviäinen, Reetta, Keller, Simon S, Kochunov, Peter, Kotikalapudi, Raviteja, Kreilkamp, Barbara AK, Labate, Angelo, Langner, Soenke, Larivière, Sara, Lenge, Matteo, Lui, Elaine, Martin, Pascal, Mascalchi, Mario, Meletti, Stefano, O'Brien, Terence J, Pardoe, Heath R, Pariente, Jose C, Rao, Jun Xian, Richardson, Mark P, Rodríguez-Cruces, Raúl, Rüber, Theodor, Sinclair, Ben, Soltanian-Zadeh, Hamid, Stein, Dan J, Striano, Pasquale, Taylor, Peter N, Thomas, Rhys H, Vaudano, Anna Elisabetta, Vivash, Lucy, von Podewills, Felix, Vos, Sjoerd B, Weber, Bernd, Yao, Yi, Yasuda, Clarissa Lin, Zhang, Junsong, Thompson, Paul M, Sisodiya, Sanjay M, McDonald, Carrie R, Bonilha, Leonardo, Group, ENIGMA-Epilepsy Working, Altmann, Andre, Depondt, Chantal, Galovic, Marian, Thomopoulos, Sophia I, and Wiest, Roland
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Biomedical Imaging ,Neurodegenerative ,Neurosciences ,Brain Disorders ,Prevention ,Epilepsy ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Artificial Intelligence ,Brain ,Epilepsy ,Temporal Lobe ,Hippocampus ,Humans ,Magnetic Resonance Imaging ,Sclerosis ,Support Vector Machine ,Temporal lobe epilepsy ,Machine learning ,Artificial inteligence ,ENIGMA-Epilepsy Working Group - Abstract
Artificial intelligence has recently gained popularity across different medical fields to aid in the detection of diseases based on pathology samples or medical imaging findings. Brain magnetic resonance imaging (MRI) is a key assessment tool for patients with temporal lobe epilepsy (TLE). The role of machine learning and artificial intelligence to increase detection of brain abnormalities in TLE remains inconclusive. We used support vector machine (SV) and deep learning (DL) models based on region of interest (ROI-based) structural (n = 336) and diffusion (n = 863) brain MRI data from patients with TLE with ("lesional") and without ("non-lesional") radiographic features suggestive of underlying hippocampal sclerosis from the multinational (multi-center) ENIGMA-Epilepsy consortium. Our data showed that models to identify TLE performed better or similar (68-75%) compared to models to lateralize the side of TLE (56-73%, except structural-based) based on diffusion data with the opposite pattern seen for structural data (67-75% to diagnose vs. 83% to lateralize). In other aspects, structural and diffusion-based models showed similar classification accuracies. Our classification models for patients with hippocampal sclerosis were more accurate (68-76%) than models that stratified non-lesional patients (53-62%). Overall, SV and DL models performed similarly with several instances in which SV mildly outperformed DL. We discuss the relative performance of these models with ROI-level data and the implications for future applications of machine learning and artificial intelligence in epilepsy care.
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- 2021
16. Withdrawal of antiseizure medications after MRI–Guided laser interstitial thermal therapy in extra-temporal lobe epilepsy
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Athreya, Arjun, Matthews, Rebecca E., Drane, Daniel L., Bonilha, Leonardo, Willie, Jon T., Gross, Robert E., and Karakis, Ioannis
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- 2023
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17. Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study
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Larivière, Sara, Rodríguez-Cruces, Raúl, Royer, Jessica, Caligiuri, Maria Eugenia, Gambardella, Antonio, Concha, Luis, Keller, Simon S, Cendes, Fernando, Yasuda, Clarissa, Bonilha, Leonardo, Gleichgerrcht, Ezequiel, Focke, Niels K, Domin, Martin, von Podewills, Felix, Langner, Soenke, Rummel, Christian, Wiest, Roland, Martin, Pascal, Kotikalapudi, Raviteja, O’Brien, Terence J, Sinclair, Benjamin, Vivash, Lucy, Desmond, Patricia M, Alhusaini, Saud, Doherty, Colin P, Cavalleri, Gianpiero L, Delanty, Norman, Kälviäinen, Reetta, Jackson, Graeme D, Kowalczyk, Magdalena, Mascalchi, Mario, Semmelroch, Mira, Thomas, Rhys H, Soltanian-Zadeh, Hamid, Davoodi-Bojd, Esmaeil, Zhang, Junsong, Lenge, Matteo, Guerrini, Renzo, Bartolini, Emanuele, Hamandi, Khalid, Foley, Sonya, Weber, Bernd, Depondt, Chantal, Absil, Julie, Carr, Sarah JA, Abela, Eugenio, Richardson, Mark P, Devinsky, Orrin, Severino, Mariasavina, Striano, Pasquale, Tortora, Domenico, Hatton, Sean N, Vos, Sjoerd B, Duncan, John S, Whelan, Christopher D, Thompson, Paul M, Sisodiya, Sanjay M, Bernasconi, Andrea, Labate, Angelo, McDonald, Carrie R, Bernasconi, Neda, and Bernhardt, Boris C
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Mental Health ,Brain Disorders ,Epilepsy ,Clinical Research ,Neurosciences ,Neurodegenerative ,Aetiology ,2.1 Biological and endogenous factors ,Neurological - Abstract
Epilepsy is increasingly conceptualized as a network disorder. In this cross-sectional mega-analysis, we integrated neuroimaging and connectome analysis to identify network associations with atrophy patterns in 1021 adults with epilepsy compared to 1564 healthy controls from 19 international sites. In temporal lobe epilepsy, areas of atrophy colocalized with highly interconnected cortical hub regions, whereas idiopathic generalized epilepsy showed preferential subcortical hub involvement. These morphological abnormalities were anchored to the connectivity profiles of distinct disease epicenters, pointing to temporo-limbic cortices in temporal lobe epilepsy and fronto-central cortices in idiopathic generalized epilepsy. Negative effects of age on atrophy further revealed a strong influence of connectome architecture in temporal lobe, but not idiopathic generalized, epilepsy. Our findings were reproduced across individual sites and single patients and were robust across different analytical methods. Through worldwide collaboration in ENIGMA-Epilepsy, we provided deeper insights into the macroscale features that shape the pathophysiology of common epilepsies.
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- 2020
18. Temporal lobe regions essential for preserved picture naming after left temporal epilepsy surgery
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Binder, Jeffrey R, Tong, Jia‐Qing, Pillay, Sara B, Conant, Lisa L, Humphries, Colin J, Raghavan, Manoj, Mueller, Wade M, Busch, Robyn M, Allen, Linda, Gross, William L, Anderson, Christopher T, Carlson, Chad E, Lowe, Mark J, Langfitt, John T, Tivarus, Madalina E, Drane, Daniel L, Loring, David W, Jacobs, Monica, Morgan, Victoria L, Allendorfer, Jane B, Szaflarski, Jerzy P, Bonilha, Leonardo, Bookheimer, Susan, Grabowski, Thomas, Vannest, Jennifer, Swanson, Sara J, and study, fMRI in Anterior Temporal Epilepsy Surgery
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Epilepsy ,Patient Safety ,Neurodegenerative ,Brain Disorders ,Neurosciences ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Adult ,Anomia ,Anterior Temporal Lobectomy ,Brain Mapping ,Drug Resistant Epilepsy ,Epilepsy ,Temporal Lobe ,Female ,Functional Neuroimaging ,Hippocampus ,Humans ,Language Tests ,Magnetic Resonance Imaging ,Male ,Middle Aged ,Postoperative Complications ,Temporal Lobe ,Young Adult ,anomia ,epilepsy ,fusiform gyrus ,lesion localization ,temporal lobe ,fMRI in Anterior Temporal Epilepsy Surgery (FATES) study ,Clinical Sciences ,Neurology & Neurosurgery - Abstract
ObjectiveTo define left temporal lobe regions where surgical resection produces a persistent postoperative decline in naming visual objects.MethodsPre- and postoperative brain magnetic resonance imaging data and picture naming (Boston Naming Test) scores were obtained prospectively from 59 people with drug-resistant left temporal lobe epilepsy. All patients had left hemisphere language dominance at baseline and underwent surgical resection or ablation in the left temporal lobe. Postoperative naming assessment occurred approximately 7 months after surgery. Surgical lesions were mapped to a standard template, and the relationship between presence or absence of a lesion and the degree of naming decline was tested at each template voxel while controlling for effects of overall lesion size.ResultsPatients declined by an average of 15% in their naming score, with wide variation across individuals. Decline was significantly related to damage in a cluster of voxels in the ventral temporal lobe, located mainly in the fusiform gyrus approximately 4-6 cm posterior to the temporal tip. Extent of damage to this region explained roughly 50% of the variance in outcome. Picture naming decline was not related to hippocampal or temporal pole damage.SignificanceThe results provide the first statistical map relating lesion location in left temporal lobe epilepsy surgery to picture naming decline, and they support previous observations of transient naming deficits from electrical stimulation in the basal temporal cortex. The critical lesion is relatively posterior and could be avoided in many patients undergoing left temporal lobe surgery for intractable epilepsy.
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- 2020
19. 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
20. The white matter connectome as an individualized biomarker of language impairment in temporal lobe epilepsy
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Kaestner, Erik, Balachandra, Akshara R, Bahrami, Naeim, Reyes, Anny, Lalani, Sanam J, Macari, Anna Christina, Voets, Natalie L, Drane, Daniel L, Paul, Brianna M, Bonilha, Leonardo, and McDonald, Carrie R
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Biological Psychology ,Clinical and Health Psychology ,Psychology ,Neurodegenerative ,Epilepsy ,Clinical Research ,Neurosciences ,Behavioral and Social Science ,Brain Disorders ,Basic Behavioral and Social Science ,Aetiology ,2.1 Biological and endogenous factors ,Adult ,Brain ,Connectome ,Epilepsy ,Temporal Lobe ,Female ,Humans ,Image Interpretation ,Computer-Assisted ,Language Disorders ,Magnetic Resonance Imaging ,Male ,Middle Aged ,Models ,Neurological ,Neural Pathways ,White Matter ,Biological psychology ,Clinical and health psychology - Abstract
ObjectiveThe distributed white matter network underlying language leads to difficulties in extracting clinically meaningful summaries of neural alterations leading to language impairment. Here we determine the predictive ability of the structural connectome (SC), compared with global measures of white matter tract microstructure and clinical data, to discriminate language impaired patients with temporal lobe epilepsy (TLE) from TLE patients without language impairment.MethodsT1- and diffusion-MRI, clinical variables (CVs), and neuropsychological measures of naming and verbal fluency were available for 82 TLE patients. Prediction of language impairment was performed using a robust tree-based classifier (XGBoost) for three models: (1) a CV-model which included demographic and epilepsy-related clinical features, (2) an atlas-based tract-model, including four frontotemporal white matter association tracts implicated in language (i.e., the bilateral arcuate fasciculus, inferior frontal occipital fasciculus, inferior longitudinal fasciculus, and uncinate fasciculus), and (3) a SC-model based on diffusion MRI. For the association tracts, mean fractional anisotropy was calculated as a measure of white matter microstructure for each tract using a diffusion tensor atlas (i.e., AtlasTrack). The SC-model used measurement of cortical-cortical connections arising from a temporal lobe subnetwork derived using probabilistic tractography. Dimensionality reduction of the SC was performed with principal components analysis (PCA). Each model was trained on 49 patients from one epilepsy center and tested on 33 patients from a different center (i.e., an independent dataset). Randomization was performed to test the stability of the results.ResultsThe SC-model yielded a greater area under the curve (AUC; .73) and accuracy (79%) compared to both the tract-model (AUC: .54, p
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- 2020
21. Long-range fibre damage in small vessel brain disease affects aphasia severity
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Wilmskoetter, Janina, Marebwa, Barbara, Basilakos, Alexandra, Fridriksson, Julius, Rorden, Chris, Stark, Brielle C, Johnson, Lisa, Hickok, Gregory, Hillis, Argye E, and Bonilha, Leonardo
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Biological Psychology ,Psychology ,Aphasia ,Stroke ,Aging ,Neurosciences ,Brain Disorders ,Aetiology ,2.1 Biological and endogenous factors ,Adult ,Aged ,Brain ,Brain Diseases ,Cerebral Ventricles ,Connectome ,Female ,Humans ,Leukoaraiosis ,Leukoencephalopathies ,Magnetic Resonance Imaging ,Male ,Middle Aged ,Nerve Fibers ,White Matter ,white matter ,brain connectomics ,stroke ,aphasia ,magnetic resonance imaging ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Neurology & Neurosurgery ,Biomedical and clinical sciences ,Health sciences - Abstract
We sought to determine the underlying pathophysiology relating white matter hyperintensities to chronic aphasia severity. We hypothesized that: (i) white matter hyperintensities are associated with damage to fibres of any length, but to a higher percentage of long-range compared to mid- and short-range intracerebral white matter fibres; and (ii) the number of long-range fibres mediates the relationship between white matter hyperintensities and chronic post-stroke aphasia severity. We measured the severity of periventricular and deep white matter hyperintensities and calculated the number and percentages of short-, mid- and long-range white matter fibres in 48 individuals with chronic post-stroke aphasia. Correlation and mediation analyses were performed to assess the relationship between white matter hyperintensities, connectome fibre-length measures and aphasia severity as measured with the aphasia quotient of the Western Aphasia Battery-Revised (WAB-AQ). We found that more severe periventricular and deep white matter hyperintensities correlated with a lower proportion of long-range fibres (r = -0.423, P = 0.003 and r = -0.315, P = 0.029, respectively), counterbalanced by a higher proportion of short-range fibres (r = 0.427, P = 0.002 and r = 0.285, P = 0.050, respectively). More severe periventricular white matter hyperintensities also correlated with a lower proportion of mid-range fibres (r = -0.334, P = 0.020), while deep white matter hyperintensities did not correlate with mid-range fibres (r = -0.169, P = 0.250). Mediation analyses revealed: (i) a significant total effect of periventricular white matter hyperintensities on WAB-AQ (standardized beta = -0.348, P = 0.008); (ii) a non-significant direct effect of periventricular white matter hyperintensities on WAB-AQ (P > 0.05); (iii) significant indirect effects of more severe periventricular white matter hyperintensities on worse aphasia severity mediated in parallel by fewer long-range fibres (effect = -6.23, bootstrapping: standard error = 2.64, 95%CI: -11.82 to -1.56) and more short-range fibres (effect = 4.50, bootstrapping: standard error = 2.59, 95%CI: 0.16 to 10.29). We conclude that small vessel brain disease seems to affect chronic aphasia severity through a change of the proportions of long- and short-range fibres. This observation provides insight into the pathophysiology of small vessel brain disease, and its relationship with brain health and chronic aphasia severity.
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- 2019
22. Neural processing critical for distinguishing between speech sounds
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Kim, Kevin, Adams, Luke, Keator, Lynsey M, Sheppard, Shannon M, Breining, Bonnie L, Rorden, Chris, Fridriksson, Julius, Bonilha, Leonardo, Rogalsky, Corianne, Love, Tracy, Hickok, Gregory, and Hillis, Argye E
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Biological Psychology ,Cognitive and Computational Psychology ,Psychology ,Clinical Research ,Behavioral and Social Science ,Brain Disorders ,Stroke ,Neurosciences ,2.1 Biological and endogenous factors ,Aetiology ,Brain ,Case-Control Studies ,Comprehension ,Female ,Humans ,Male ,Middle Aged ,Parietal Lobe ,Phonetics ,Speech Perception ,Temporal Lobe ,Phoneme discrimination ,Acute ischemic stroke ,Auditory processing ,Lesion-deficit mapping ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Language ,Communication and Culture ,Experimental Psychology ,Biomedical and clinical sciences ,Language ,communication and culture - Abstract
We aimed to identify neural regions where ischemia acutely after stroke is associated with impairment in phoneme discrimination, and to determine whether such deficits are associated with impairment of spoken word comprehension. We evaluated 33 patients within 48 h of left hemisphere ischemic stroke onset with tests of phoneme discrimination and word-picture matching. We identified Pearson correlations between accuracy in phoneme discrimination and accuracy of word comprehension and identified areas where the percentage of infarcted tissue was associated with severity of phoneme discrimination deficit. We found that 54% had deficits in phoneme discrimination relative to healthy controls. Accuracy in phoneme discrimination correlated with accuracy on word comprehension tests. Damage to left intraparietal sulcus and hypoperfusion and/or infarct of left superior temporal gyrus were associated with phoneme discrimination deficits acutely, although patients with these lesions showed improvement or resolution of the deficit by six months.
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- 2019
23. Brain health imaging markers, post-stroke aphasia and Cognition: A scoping review
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Hannan, Jade, Wilmskoetter, Janina, Fridriksson, Julius, Hillis, Argye E., Bonilha, Leonardo, and Busby, Natalie
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- 2023
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24. Under pressure: the interplay of hypertension and white matter hyperintensities with cognition in chronic stroke aphasia
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Hannan, Jade, primary, Busby, Natalie, additional, Roth, Rebecca, additional, Wilmskoetter, Janina, additional, Newman-Norlund, Roger, additional, Rorden, Chris, additional, Bonilha, Leonardo, additional, and Fridriksson, Julius, additional
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- 2024
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25. Utility of intracranial EEG networks depends on re-referencing and connectivity choice
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Shi, Haoer, primary, Pattnaik, Akash R, additional, Aguila, Carlos, additional, Lucas, Alfredo, additional, Sinha, Nishant, additional, Prager, Brian, additional, Mojena, Marissa, additional, Gallagher, Ryan, additional, Parashos, Alexandra, additional, Bonilha, Leonardo, additional, Gleichgerrcht, Ezequiel, additional, Davis, Kathryn A, additional, Litt, Brian, additional, and Conrad, Erin C, additional
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- 2024
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26. Neural correlates of impaired vocal feedback control in post-stroke aphasia
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Behroozmand, Roozbeh, Bonilha, Leonardo, Rorden, Chris, Hickok, Gregory, and Fridriksson, Julius
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- 2022
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27. Concomitant sensory stimulation during therapy to enhance hand functional recovery post stroke
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Seo, Na Jin, Ramakrishnan, Viswanathan, Woodbury, Michelle L., Bonilha, Leonardo, Finetto, Christian, Schranz, Christian, Scronce, Gabrielle, Coupland, Kristen, Blaschke, Jenna, Baker, Adam, Howard, Keith, Meinzer, Caitlyn, Velozo, Craig A., and Adams, Robert J.
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- 2022
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28. Disconnectomics to unravel the network underlying deficits of spatial exploration and attention
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Wiesen, Daniel, Bonilha, Leonardo, Rorden, Christopher, and Karnath, Hans-Otto
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- 2022
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29. High b-value diffusion tractography: Abnormal axonal network organization associated with medication-refractory epilepsy
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Gleichgerrcht, Ezequiel, Keller, Simon S., Bryant, Lorna, Moss, Hunter, Kellermann, Tanja S., Biswas, Shubhabrata, Marson, Anthony G., Wilmskoetter, Janina, Jensen, Jens H., and Bonilha, Leonardo
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- 2022
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30. Right hemispheric white matter hyperintensities improve the prediction of spatial neglect severity in acute stroke
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Röhrig, Lisa, Sperber, Christoph, Bonilha, Leonardo, Rorden, Christopher, and Karnath, Hans-Otto
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- 2022
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31. Long-range white matter fibres and post-stroke verbal and non-verbal cognition.
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Roth, Rebecca W, Blackett, Deena Schwen, Gleichgerrcht, Ezequiel, Wilmskoetter, Janina, Rorden, Chris, Newman-Norlund, Roger, Sen, Souvik, Fridriksson, Julius, Busby, Natalie, and Bonilha, Leonardo
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- 2024
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32. Speech Entrainment for Aphasia Recovery (SpARc) phase II trial design
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Cassarly, Christy, Doyle, Anna, Ly, Trinh, Horn, Janet, Aitchison, Mary, Elm, Jordan, Fridriksson, Julius, and Bonilha, Leonardo
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- 2021
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33. A Rose by Any Other Name: Mapping Taxonomic and Thematic Naming Errors Poststroke.
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Riccardi, Nicholas, Schwen Blackett, Deena, Broadhead, Abigail, den Ouden, Dirk, Rorden, Chris, Fridriksson, Julius, Bonilha, Leonardo, and Desai, Rutvik H.
- Abstract
Understanding the neurobiology of semantic knowledge is a major goal of cognitive neuroscience. Taxonomic and thematic semantic knowledge are represented differently within the brain's conceptual networks, but the specific neural mechanisms remain unclear. Some neurobiological models propose that the anterior temporal lobe is an important hub for taxonomic knowledge, whereas the TPJ is especially involved in the representation of thematic knowledge. However, recent studies have provided divergent evidence. In this context, we investigated the neural correlates of taxonomic and thematic confrontation naming errors in 79 people with aphasia. We used three complementary lesion-symptom mapping (LSM) methods to investigate how structure and function in both spared and impaired brain regions relate to taxonomic and thematic naming errors. Voxel-based LSM mapped brain damage, activation-based LSM mapped BOLD signal in surviving tissue, and network-based LSM mapped white matter subnetwork integrity to error type. Voxel- and network-based lesion symptom mapping provided converging evidence that damage/disruption of the left mid-to-anterior temporal lobe was associated with a greater proportion of thematic naming errors. Activation-based lesion symptom mapping revealed that higher BOLD signal in the left anterior temporal lobe during an in-house naming task was associated with a greater proportion of taxonomic errors on the Philadelphia Naming Test administered outside of the scanner. A lower BOLD signal in the bilateral angular gyrus, precuneus, and right inferior frontal cortex was associated with a greater proportion of taxonomic errors. These findings provide novel evidence that damage to the anterior temporal lobe is especially related to thematic naming errors. [ABSTRACT FROM AUTHOR]
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- 2024
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34. Graph theory and cognition: A complementary avenue for examining neuropsychological status in epilepsy
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Garcia-Ramos, Camille, Lin, Jack J, Kellermann, Tanja S, Bonilha, Leonardo, Prabhakaran, Vivek, and Hermann, Bruce P
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Clinical and Health Psychology ,Psychology ,Neurodegenerative ,Neurosciences ,Basic Behavioral and Social Science ,Mind and Body ,Behavioral and Social Science ,Brain Disorders ,Epilepsy ,Cognition ,Cognition Disorders ,Comorbidity ,Cross-Sectional Studies ,Humans ,Models ,Theoretical ,Neuropsychological Tests ,Prospective Studies ,Pediatric epilepsy ,Neuropsychological assessment ,Graph theory ,Clinical Sciences ,Neurology & Neurosurgery ,Biological psychology ,Clinical and health psychology - Abstract
The recent revision of the classification of the epilepsies released by the ILAE Commission on Classification and Terminology (2005-2009) has been a major development in the field. Papers in this section of the special issue explore the relevance of other techniques to examine, categorize, and classify cognitive and behavioral comorbidities in epilepsy. In this review, we investigate the applicability of graph theory to understand the impact of epilepsy on cognition compared with controls and, then, the patterns of cognitive development in normally developing children which would set the stage for prospective comparisons of children with epilepsy and controls. The overall goal is to examine the potential utility of this analytic tool and approach to conceptualize the cognitive comorbidities in epilepsy. Given that the major cognitive domains representing cognitive function are interdependent, the associations between neuropsychological abilities underlying these domains can be referred to as a cognitive network. Therefore, the architecture of this cognitive network can be quantified and assessed using graph theory methods, rendering a novel approach to the characterization of cognitive status. We first provide fundamental information about graph theory procedures, followed by application of these techniques to cross-sectional analysis of neuropsychological data in children with epilepsy compared with that of controls, concluding with prospective analysis of neuropsychological development in younger and older healthy controls. This article is part of a Special Issue entitled "The new approach to classification: Rethinking cognition and behavior in epilepsy".
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- 2016
35. Mapping the neuropsychological profile of temporal lobe epilepsy using cognitive network topology and graph theory
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Kellermann, Tanja S, Bonilha, Leonardo, Eskandari, Ramin, Garcia-Ramos, Camille, Lin, Jack J, and Hermann, Bruce P
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Biological Psychology ,Psychology ,Basic Behavioral and Social Science ,Behavioral and Social Science ,Brain Disorders ,Neurosciences ,Neurodegenerative ,Epilepsy ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Adult ,Cognition ,Epilepsy ,Temporal Lobe ,Executive Function ,Female ,Humans ,Intelligence ,Language ,Male ,Memory ,Middle Aged ,Neuropsychological Tests ,Young Adult ,Cognitive network ,Temporal lobe epilepsy ,Graph theory ,Clinical Sciences ,Neurology & Neurosurgery ,Biological psychology ,Clinical and health psychology - Abstract
ObjectiveNormal cognitive function is defined by harmonious interaction among multiple neuropsychological domains. Epilepsy has a disruptive effect on cognition, but how diverse cognitive abilities differentially interact with one another compared with healthy controls (HC) is unclear. This study used graph theory to analyze the community structure of cognitive networks in adults with temporal lobe epilepsy (TLE) compared with that in HC.MethodsNeuropsychological assessment was performed in 100 patients with TLE and 82 HC. For each group, an adjacency matrix was constructed representing pair-wise correlation coefficients between raw scores obtained in each possible test combination. For each cognitive network, each node corresponded to a cognitive test; each link corresponded to the correlation coefficient between tests. Global network structure, community structure, and node-wise graph theory properties were qualitatively assessed.ResultsThe community structure in patients with TLE was composed of fewer, larger, more mixed modules, characterizing three main modules representing close relationships between the following: 1) aspects of executive function (EF), verbal and visual memory, 2) speed and fluency, and 3) speed, EF, perception, language, intelligence, and nonverbal memory. Conversely, controls exhibited a relative division between cognitive functions, segregating into more numerous, smaller modules consisting of the following: 1) verbal memory, 2) language, perception, and intelligence, 3) speed and fluency, and 4) visual memory and EF. Overall node-wise clustering coefficient and efficiency were increased in TLE.SignificanceAdults with TLE demonstrate a less clear and poorly structured segregation between multiple cognitive domains. This panorama suggests a higher degree of interdependency across multiple cognitive domains in TLE, possibly indicating compensatory mechanisms to overcome functional impairments.
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- 2016
36. Disruptions in cortico-subcortical covariance networks associated with anxiety in new-onset childhood epilepsy
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Garcia-Ramos, Camille, Lin, Jack J, Bonilha, Leonardo, Jones, Jana E, Jackson, Daren C, Prabhakaran, Vivek, and Hermann, Bruce P
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Biological Psychology ,Psychology ,Mental Health ,Neurosciences ,Neurodegenerative ,Pediatric ,Clinical Research ,Behavioral and Social Science ,Epilepsy ,Brain Disorders ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Mental health ,Adolescent ,Amygdala ,Anxiety Disorders ,Brain ,Cerebral Cortex ,Child ,Comorbidity ,Data Interpretation ,Statistical ,Epilepsies ,Partial ,Epilepsy ,Generalized ,Female ,Humans ,Magnetic Resonance Imaging ,Male ,Nerve Net ,Pediatric epilepsy ,Anxiety comorbidity ,Structural MRI ,Graph theory analysis ,Biological psychology ,Clinical and health psychology - Abstract
Anxiety disorders represent a prevalent psychiatric comorbidity in both adults and children with epilepsy for which the etiology remains controversial. Neurobiological contributions have been suggested, but only limited evidence suggests abnormal brain volumes particularly in children with epilepsy and anxiety. Since the brain develops in an organized fashion, covariance analyses between different brain regions can be investigated as a network and analyzed using graph theory methods. We examined 46 healthy children (HC) and youth with recent onset idiopathic epilepsies with (n = 24) and without (n = 62) anxiety disorders. Graph theory (GT) analyses based on the covariance between the volumes of 85 cortical/subcortical regions were investigated. Both groups with epilepsy demonstrated less inter-modular relationships in the synchronization of cortical/subcortical volumes compared to controls, with the epilepsy and anxiety group presenting the strongest modular organization. Frontal and occipital regions in non-anxious epilepsy, and areas throughout the brain in children with epilepsy and anxiety, showed the highest centrality compared to controls. Furthermore, most of the nodes correlating to amygdala volumes were subcortical structures, with the exception of the left insula and the right frontal pole, which presented high betweenness centrality (BC); therefore, their influence in the network is not necessarily local but potentially influencing other more distant regions. In conclusion, children with recent onset epilepsy and anxiety demonstrate large scale disruptions in cortical and subcortical brain regions. Network science may not only provide insight into the possible neurobiological correlates of important comorbidities of epilepsy, but also the ways that cortical and subcortical disruption occurs.
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- 2016
37. The brain connectome as a personalized biomarker of seizure outcomes after temporal lobectomy
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Bonilha, Leonardo, Jensen, Jens H, Baker, Nathaniel, Breedlove, Jesse, Nesland, Travis, Lin, Jack J, Drane, Daniel L, Saindane, Amit M, Binder, Jeffrey R, and Kuzniecky, Ruben I
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Neurodegenerative ,Biomedical Imaging ,Epilepsy ,Clinical Research ,Neurosciences ,Brain Disorders ,Neurological ,Adult ,Anterior Temporal Lobectomy ,Brain ,Cohort Studies ,Connectome ,Diffusion Magnetic Resonance Imaging ,Epilepsy ,Temporal Lobe ,Female ,Humans ,Male ,Middle Aged ,Neural Pathways ,Retrospective Studies ,Treatment Outcome ,Clinical Sciences ,Cognitive Sciences ,Neurology & Neurosurgery - Abstract
ObjectiveWe examined whether individual neuronal architecture obtained from the brain connectome can be used to estimate the surgical success of anterior temporal lobectomy (ATL) in patients with temporal lobe epilepsy (TLE).MethodsWe retrospectively studied 35 consecutive patients with TLE who underwent ATL. The structural brain connectome was reconstructed from all patients using presurgical diffusion MRI. Network links in patients were standardized as Z scores based on connectomes reconstructed from healthy controls. The topography of abnormalities in linkwise elements of the connectome was assessed on subnetworks linking ipsilateral temporal with extratemporal regions. Predictive models were constructed based on the individual prevalence of linkwise Z scores >2 and based on presurgical clinical data.ResultsPatients were more likely to achieve postsurgical seizure freedom if they exhibited fewer abnormalities within a subnetwork composed of the ipsilateral hippocampus, amygdala, thalamus, superior frontal region, lateral temporal gyri, insula, orbitofrontal cortex, cingulate, and lateral occipital gyrus. Seizure-free surgical outcome was predicted by neural architecture alone with 90% specificity (83% accuracy), and by neural architecture combined with clinical data with 94% specificity (88% accuracy).ConclusionsIndividual variations in connectome topography, combined with presurgical clinical data, may be used as biomarkers to better estimate surgical outcomes in patients with TLE.
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- 2015
38. Mapping the landscape of cognitive development in children with epilepsy
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Kellermann, Tanja S, Bonilha, Leonardo, Lin, Jack J, and Hermann, Bruce P
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Cognitive and Computational Psychology ,Psychology ,Clinical Research ,Neurodegenerative ,Epilepsy ,Brain Disorders ,Neurosciences ,Pediatric ,Basic Behavioral and Social Science ,Behavioral and Social Science ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Adolescent ,Adolescent Development ,Case-Control Studies ,Child ,Child Development ,Cognition ,Cognition Disorders ,Executive Function ,Female ,Humans ,Intelligence ,Male ,Neuropsychological Tests ,Reading ,Cognitive development ,Cognitive network ,Early-onset epilepsy ,Graph theory ,Neuropsychological assessment ,Cognitive Sciences ,Experimental Psychology ,Biological psychology ,Cognitive and computational psychology - Abstract
ObjectiveNormal childhood development is defined by age-dependent improvement across cognitive abilities, including language, memory, psychomotor speed and executive function. Epilepsy is often associated with a global disruption in cognitive development, however, it is still largely unknown how epilepsy affects the overall organization of overlapping cognitive domains. The aim of the study was to evaluate how childhood epilepsy affects the developmental interrelationships between cognitive domains.MethodsWe performed a comprehensive assessment of neuropsychological function in 127 children with new onset epilepsy and 80 typically developing children matched for age, gender, and socio-demographic status. A cross-correlation matrix between the performances across multiple cognitive tests was used to assess the interrelationship between cognitive modalities for each group (patients and controls). A weighted network composed by the cognitive domains as nodes, and pair-wise domain correlation as links, was assessed using graph theory analyses, with focus on global network structure, network hubs and community structure.ResultsNormally developing children exhibited a cognitive network with well-defined modules, with verbal intelligence, reading and spelling skills occupying a central position in the developing network. Conversely, children with epilepsy demonstrated a less well-organized network with less clear separation between modules, and relative isolation of measures of attention and executive function.ConclusionOur findings demonstrate that childhood-onset epilepsy, even within its early course, is associated with an extensive disruption of cognitive neurodevelopmental organization. The approach used in this study may be useful to assess the effectiveness of future interventions aimed at mitigating the cognitive consequences of epilepsy.
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- 2015
39. Racial Differences in Blood Pressure Control Following Stroke: The REGARDS Study
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Akinyelure, Oluwasegun P., Jaeger, Byron C., Moore, Tony L., Hubbard, Demetria, Oparil, Suzanne, Howard, Virginia J., Howard, George, Buie, Joy N., Magwood, Gayenell S., Adams, Robert J., Bonilha, Leonardo, Lackland, Daniel T., and Muntner, Paul
- Published
- 2021
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40. Neurodevelopmental alterations of large‐scale structural networks in children with new‐onset epilepsy
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Bonilha, Leonardo, Tabesh, Ali, Dabbs, Kevin, Hsu, David A, Stafstrom, Carl E, Hermann, Bruce P, and Lin, Jack J
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Neurosciences ,Behavioral and Social Science ,Basic Behavioral and Social Science ,Neurodegenerative ,Pediatric ,Clinical Research ,Brain Disorders ,Intellectual and Developmental Disabilities (IDD) ,Epilepsy ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Adolescent ,Brain ,Child ,Epilepsies ,Partial ,Epilepsy ,Generalized ,Executive Function ,Family ,Female ,Humans ,Intelligence ,Intelligence Tests ,Magnetic Resonance Imaging ,Male ,Neural Pathways ,Neuropsychological Tests ,Organ Size ,Signal Processing ,Computer-Assisted ,epilepsy ,structural network ,graph theory ,neurodevelopment ,cognition ,Cognition ,Graph theory ,Neurodevelopment ,Structural network ,Cognitive Sciences ,Experimental Psychology - Abstract
Recent neuroimaging and behavioral studies have revealed that children with new onset epilepsy already exhibit brain structural abnormalities and cognitive impairment. How the organization of large-scale brain structural networks is altered near the time of seizure onset and whether network changes are related to cognitive performances remain unclear. Recent studies also suggest that regional brain volume covariance reflects synchronized brain developmental changes. Here, we test the hypothesis that epilepsy during early-life is associated with abnormalities in brain network organization and cognition. We used graph theory to study structural brain networks based on regional volume covariance in 39 children with new-onset seizures and 28 healthy controls. Children with new-onset epilepsy showed a suboptimal topological structural organization with enhanced network segregation and reduced global integration compared with controls. At the regional level, structural reorganization was evident with redistributed nodes from the posterior to more anterior head regions. The epileptic brain network was more vulnerable to targeted but not random attacks. Finally, a subgroup of children with epilepsy, namely those with lower IQ and poorer executive function, had a reduced balance between network segregation and integration. Taken together, the findings suggest that the neurodevelopmental impact of new onset childhood epilepsies alters large-scale brain networks, resulting in greater vulnerability to network failure and cognitive impairment.
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- 2014
41. Dissociating reading and auditory comprehension in persons with aphasia.
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Harrington, Rachael M, Kristinsson, Sigfus, Wilmskoetter, Janina, Busby, Natalie, Ouden, Dirk den, Rorden, Chris, Fridriksson, Julius, and Bonilha, Leonardo
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- 2024
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42. Commentary : Addressing Racial Disparities in Stroke: The Wide Spectrum Investigation of Stroke Outcome Disparities on Multiple Levels (WISSDOM)
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Adams, Robert J., Ellis, Charles, Magwood, Gayenell, Kindy, Mark S, Bonilha, Leonardo, and Lackland, Daniel T
- Published
- 2018
43. Diabetes, brain health, and treatment gains in post-stroke aphasia
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Roth, Rebecca, primary, Busby, Natalie, additional, Wilmskoetter, Janina, additional, Schwen Blackett, Deena, additional, Gleichgerrcht, Ezequiel, additional, Johnson, Lisa, additional, Rorden, Chris, additional, Newman-Norlund, Roger, additional, Hillis, Argye E, additional, den Ouden, Dirk B, additional, Fridriksson, Julius, additional, and Bonilha, Leonardo, additional
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- 2023
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44. Different aspects of hand grip performance associated with structural connectivity of distinct sensorimotor networks in chronic stroke
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Schranz, Christian, primary, Srivastava, Shraddha, additional, Seamon, Bryant A., additional, Marebwa, Barbara, additional, Bonilha, Leonardo, additional, Ramakrishnan, Viswanathan, additional, Wilmskoetter, Janina, additional, Neptune, Richard R., additional, Kautz, Steve A., additional, and Seo, Na Jin, additional
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- 2023
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45. Revealing the dual streams of speech processing
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Fridriksson, Julius, Yourganov, Grigori, Bonilha, Leonardo, Basilakos, Alexandra, Den Ouden, Dirk-Bart, and Rorden, Christopher
- Published
- 2016
46. TheraBracelet Stimulation During Task-Practice Therapy to Improve Upper Extremity Function After Stroke: A Pilot Randomized Controlled Study
- Author
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Seo, Na J., Woodbury, Michelle L., Bonilha, Leonardo, Ramakrishnan, Viswanathan, Kautz, Steven A., Downey, Ryan J., Dellenbach, Blair H.S., Lauer, Abigail W., Roark, Caroline M., Landers, Lauren E., Phillips, Sarah K., and Vatinno, Amanda A.
- Subjects
Physical therapy -- Methods -- Equipment and supplies ,Stroke patients -- Care and treatment ,Hand -- Health aspects ,Recovery of function -- Health aspects ,Bracelets -- Testing -- Health aspects ,Patient compliance ,Movement therapy ,Activities of daily living ,Novels ,Health - Abstract
Background. Peripheral sensory stimulation has been used in conjunction with upper extremity movement therapy to increase therapy-induced motor gains in patients with stroke. The limitation is that existing sensory stimulation methods typically interfere with natural hand tasks and thus are administered prior to therapy, requiring patients' time commitment. To address this limitation, we developed TheraBracelet. This novel stimulation method provides subthreshold (ie, imperceptible) vibratory stimulation to the wrist and can be used during hand tasks/therapy without interfering with natural hand tasks. Objective. The objective was to determine the feasibility of using TheraBracelet during therapy to augment motor recovery after stroke. Design. The design was a triple-blinded pilot randomized controlled trial. Methods. Twelve chronic stroke survivors were assigned to die treatment or control group. All participants completed 2-hour task practice therapy sessions thrice weekly for 2 weeks. Both groups wore a small vibrator on the paretic wrist, which was turned on to provide TheraBracelet stimulation for the treatment group and turned off for the control group to provide sham stimulation. Outcome measures (Box and Block Test [BBT] and Wolf Motor Function Test [WMFT]) were obtained at baseline, 6 days after therapy, and at follow-up 19 days after therapy. Results. The intervention was feasible with no adverse events. The treatment group significantly improved their BBT scores after therapy and at follow-up compared with baseline, whereas die control group did not. For WMFT, the group x time interaction was short of achieving significance. Large effect sizes were obtained (BBT d = 1.43, WMFT d = 0.87). No indication of desensitization to TheraBracelet stimulation was observed. Limitations. The limitation was a small sample size. Conclusions. TheraBracelet could be a promising therapy adjuvant for upper extremity recovery after stroke., Stroke is the leading cause of long-term disability in the United States. (1,2) More than two-thirds of nearly 7 million stroke survivors in the United States (2) have persistent impairment [...]
- Published
- 2019
- Full Text
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47. Transcranial Direct Current Stimulation for Chronic Stroke: Is Neuroimaging the Answer to the Next Leap Forward?
- Author
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Salazar, Claudia A., primary, Feng, Wuwei, additional, Bonilha, Leonardo, additional, Kautz, Steven, additional, Jensen, Jens H., additional, George, Mark S., additional, and Rowland, Nathan C., additional
- Published
- 2023
- Full Text
- View/download PDF
48. Resting State Functional Connectivity Demonstrates Increased Segregation in Bilateral Temporal Lobe Epilepsy
- Author
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Lucas, Alfredo, primary, Cornblath, Eli J., additional, Sinha, Nishant, additional, Hadar, Peter, additional, Caciagli, Lorenzo, additional, Keller, Simon S., additional, Bonilha, Leonardo, additional, Shinohara, Russell T., additional, Stein, Joel M., additional, Das, Sandhitsu, additional, Gleichgerrcht, Ezequiel, additional, and Davis, Kathryn A., additional
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- 2023
- Full Text
- View/download PDF
49. Pre-frontal tDCS improves sustained attention and promotes artificial grammar learning in aphasia: An open-label study
- Author
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Riley, Ellyn A., Verblaauw, Mikaella, Masoud, Hesham, and Bonilha, Leonardo
- Subjects
General Neuroscience ,Aphasia ,Biophysics ,Humans ,Learning ,Prefrontal Cortex ,Attention ,Neurology (clinical) ,Transcranial Direct Current Stimulation ,Article - Published
- 2022
50. Subacute aphasia recovery is associated with resting‐state connectivity within and beyond the language network.
- Author
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Stockbridge, Melissa D., Faria, Andreia V., Fridriksson, Julius, Rorden, Chris, Bonilha, Leonardo, and Hillis, Argye E.
- Subjects
TEMPORAL lobe ,PARIETAL lobe ,FUSIFORM gyrus ,PREFRONTAL cortex ,APHASIA - Abstract
Objective: To examine changes to connectivity after aphasia treatment in the first 3 months after stroke. Methods: Twenty people experiencing aphasia within the first 3 months of stroke completed MRI before and immediately following 15 hours of language treatment. They were classified based on their response to treatment on a naming test of nouns as either high responders (10% improvement or more), or low responders (<10% improvement). Groups were similar in age, gender distribution, education, days since stroke, stroke volume, and baseline severity. Resting‐state functional connectivity analysis was limited to the connectivity of the left fusiform gyrus with the bilateral inferior frontal gyrus, supramarginal gyrus, angular gyrus, and superior, middle, and inferior temporal gyrus, based on previous studies showing the importance of left fusiform gyrus in naming performance. Results: Baseline ipsilateral connectivity between the left fusiform gyrus and the language network was similar between high and low responders to therapy when controlling for stroke volume. Following therapy, change in connectivity was significantly greater among high responders between the left fusiform gyrus and the ipsilateral and contralateral pars triangularis, ipsilateral pars opercularis and superior temporal gyrus, and contralateral angular gyrus when compared with low responders. Interpretation: An account of these findings incorporates primarily proximal connectivity restoration, but also potentially reflects select contralateral compensatory reorganization. The latter is often associated with chronic recovery, reflecting the transitional nature of the subacute period. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
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