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Fu RH, Wu PY, Chou IC, Lin CH, Hong SY. Demographic and clinical characteristics, seizure disorders, and antiepileptic drug usage in different types of corpus callosum disorders: a comparative study in children. Ital J Pediatr 2024; 50:20. [PMID: 38273353 PMCID: PMC10809518 DOI: 10.1186/s13052-024-01589-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 01/07/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND This study aimed to investigate the demographic and clinical characteristics, types of seizure disorders, and antiepileptic drug usage among individuals with different types of corpus callosum disorders. METHODS A total of 73 individuals were included in the study and divided into three groups based on the type of corpus callosum abnormality: hypoplasia (H), agenesis (A), and dysgenesis (D). Demographic data, including gender and preterm birth, as well as clinical characteristics such as seizure disorders, attention deficit hyperactivity disorder (ADHD), severe developmental delay/intellectual disability, and other brain malformations, were analyzed. The types of seizure disorders and antiepileptic drugs used were also examined. RESULTS The H group had the highest number of participants (n = 47), followed by the A group (n = 11) and the D group (n = 15). The A group had the highest percentage of males and preterm births, while the D group had the highest percentage of seizure disorders, other brain malformations, and severe developmental delay/intellectual disability. The A group also had the highest percentage of ADHD. Focal seizures were observed in all three groups, with the highest proportion in the A group. Focal impaired awareness seizures (FIAS) were present in all groups, with the highest proportion in the D group. Generalized tonic-clonic seizures (GTCS) were observed in all groups, with the highest proportion in the H group. Different types of antiepileptic drugs were used among the groups, with variations in usage rates for each drug. CONCLUSION This study provided insights into the demographic and clinical characteristics, seizure disorders, and antiepileptic drug usage among individuals with different types of corpus callosum disorders. Significant differences were found between the groups, indicating the need for tailored management approaches. However, the study has limitations, including a small sample size and a cross-sectional design. Further research with larger sample sizes and longitudinal designs is warranted to validate these findings and explore the relationship between corpus callosum abnormality severity and clinical outcomes.
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Affiliation(s)
- Ru-Huei Fu
- Graduate Institute of Biomedical Sciences, China Medical University, 40402, Taichung, Taiwan
- Translational Medicine Research Center, China Medical University Hospital, 40447, Taichung, Taiwan
| | - Po-Yen Wu
- Division of Pediatric Neurology, China Medical University Children's Hospital, 2 Yuh-Der Road, 40447, Taichung, Taiwan
| | - I-Ching Chou
- Division of Pediatric Neurology, China Medical University Children's Hospital, 2 Yuh-Der Road, 40447, Taichung, Taiwan
- College of Chinese Medicine, Graduate Institute of Integrated Medicine, China Medical University, 40402, Taichung, Taiwan
| | - Chien-Heng Lin
- Division of Pediatrics Pulmonology, China Medical University Children's Hospital, 40447, Taichung, Taiwan
- Department of Biomedical Imaging and Radiological Science, College of Medicine, China Medical University, 40402, Taichung, Taiwan
| | - Syuan-Yu Hong
- Graduate Institute of Biomedical Sciences, China Medical University, 40402, Taichung, Taiwan.
- Division of Pediatric Neurology, China Medical University Children's Hospital, 2 Yuh-Der Road, 40447, Taichung, Taiwan.
- Department of Medicine, School of Medicine, China Medical University, 40402, Taichung, Taiwan.
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Zhang AR, Bell RP, An C, Tang R, Hall SA, Chan C, Al-Khalil K, Meade CS. Cocaine Use Prediction With Tensor-Based Machine Learning on Multimodal MRI Connectome Data. Neural Comput 2023; 36:107-127. [PMID: 38052079 PMCID: PMC11075092 DOI: 10.1162/neco_a_01623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 08/08/2023] [Indexed: 12/07/2023]
Abstract
This letter considers the use of machine learning algorithms for predicting cocaine use based on magnetic resonance imaging (MRI) connectomic data. The study used functional MRI (fMRI) and diffusion MRI (dMRI) data collected from 275 individuals, which was then parcellated into 246 regions of interest (ROIs) using the Brainnetome atlas. After data preprocessing, the data sets were transformed into tensor form. We developed a tensor-based unsupervised machine learning algorithm to reduce the size of the data tensor from 275 (individuals) × 2 (fMRI and dMRI) × 246 (ROIs) × 246 (ROIs) to 275 (individuals) × 2 (fMRI and dMRI) × 6 (clusters) × 6 (clusters). This was achieved by applying the high-order Lloyd algorithm to group the ROI data into six clusters. Features were extracted from the reduced tensor and combined with demographic features (age, gender, race, and HIV status). The resulting data set was used to train a Catboost model using subsampling and nested cross-validation techniques, which achieved a prediction accuracy of 0.857 for identifying cocaine users. The model was also compared with other models, and the feature importance of the model was presented. Overall, this study highlights the potential for using tensor-based machine learning algorithms to predict cocaine use based on MRI connectomic data and presents a promising approach for identifying individuals at risk of substance abuse.
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Affiliation(s)
- Anru R Zhang
- Department of Biostatistics and Bioinformatics and Department of Computer Science, Duke University, Durham, NC 27710, U.S.A.
| | - Ryan P Bell
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC 27710, U.S.A.
| | - Chen An
- Department of Mathematics, Duke University, Durham, NC 27708, U.S.A.
| | - Runshi Tang
- Department of Statistics, University of Wisconsin-Madison, Madison, WI, U.S.A.
| | - Shana A Hall
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC 27710, U.S.A.
| | - Cliburn Chan
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, U.S.A.
| | - Kareem Al-Khalil
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC 27710, U.S.A.
| | - Christina S Meade
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC 27710, U.S.A.
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Zhao J, Jing B, Liu J, Chen F, Wu Y, Li H. Probing bundle-wise abnormalities in patients infected with human immunodeficiency virus using fixel-based analysis: new insights into neurocognitive impairments. Chin Med J (Engl) 2023; 136:2178-2186. [PMID: 37605986 PMCID: PMC10508508 DOI: 10.1097/cm9.0000000000002829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND Changes in white matter (WM) underlie the neurocognitive damages induced by a human immunodeficiency virus (HIV) infection. This study aimed to examine using a bundle-associated fixel-based analysis (FBA) pipeline for investigating the microstructural and macrostructural alterations in the WM of the brain of HIV patients. METHODS This study collected 93 HIV infected patients and 45 age/education/handedness matched healthy controls (HCs) at the Beijing Youan Hospital between January 1, 2016 and December 30, 2016.All HIV patients underwent neurocognitive evaluation and laboratory testing followed by magnetic resonance imaging (MRI) scanning. In order to detect the bundle-wise WM abnormalities accurately, a specific WM bundle template with 56 tracts of interest was firstly generated by an automated fiber clustering method using a subset of subjects. Fixel-based analysis was used to investigate bundle-wise differences between HIV patients and HCs in three perspectives: fiber density (FD), fiber cross-section (FC), and fiber density and cross-section (FDC). The between-group differences were detected by a two-sample t -test with the false discovery rate (FDR) correction ( P <0.05). Furthermore, the covarying relationship in FD, FC and FDC between any pair of bundles was also accessed by the constructed covariance networks, which was subsequently compared between HIV and HCs via permutation t -tests. The correlations between abnormal WM metrics and the cognitive functions of HIV patients were explored via partial correlation analysis after controlling age and gender. RESULTS Among FD, FC and FDC, FD was the only metric that showed significant bundle-wise alterations in HIV patients compared to HCs. Increased FD values were observed in the bilateral fronto pontine tract, corona radiata frontal, left arcuate fasciculus, left corona radiata parietal, left superior longitudinal fasciculus III, and right superficial frontal parietal (SFP) (all FDR P <0.05). In bundle-wise covariance network, HIV patients displayed decreased FD and increased FC covarying patterns in comparison to HC ( P <0.05) , especially between associated pathways. Finally, the FCs of several tracts exhibited a significant correlation with language and attention-related functions. CONCLUSIONS Our study demonstrated the utility of FBA on detecting the WM alterations related to HIV infection. The bundle-wise FBA method provides a new perspective for investigating HIV-induced microstructural and macrostructural WM-related changes, which may help to understand cognitive dysfunction in HIV patients thoroughly.
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Affiliation(s)
- Jing Zhao
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100069, China
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Bin Jing
- School of Biomedical Engineering, Capital Medical University, Beijing 100069, China
- Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application,School of Biomedical Engineering, Capital Medical University, Beijing 100069, China
| | - Jiaojiao Liu
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Feng Chen
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Ye Wu
- School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China
| | - Hongjun Li
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100069, China
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
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O’Connor EE, Sullivan EV, Chang L, Hammoud DA, Wilson TW, Ragin AB, Meade CS, Coughlin J, Ances BM. Imaging of Brain Structural and Functional Effects in People With Human Immunodeficiency Virus. J Infect Dis 2023; 227:S16-S29. [PMID: 36930637 PMCID: PMC10022717 DOI: 10.1093/infdis/jiac387] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Abstract
Before the introduction of antiretroviral therapy, human immunodeficiency virus (HIV) infection was often accompanied by central nervous system (CNS) opportunistic infections and HIV encephalopathy marked by profound structural and functional alterations detectable with neuroimaging. Treatment with antiretroviral therapy nearly eliminated CNS opportunistic infections, while neuropsychiatric impairment and peripheral nerve and organ damage have persisted among virally suppressed people with HIV (PWH), suggesting ongoing brain injury. Neuroimaging research must use methods sensitive for detecting subtle HIV-associated brain structural and functional abnormalities, while allowing for adjustments for potential confounders, such as age, sex, substance use, hepatitis C coinfection, cardiovascular risk, and others. Here, we review existing and emerging neuroimaging tools that demonstrated promise in detecting markers of HIV-associated brain pathology and explore strategies to study the impact of potential confounding factors on these brain measures. We emphasize neuroimaging approaches that may be used in parallel to gather complementary information, allowing efficient detection and interpretation of altered brain structure and function associated with suboptimal clinical outcomes among virally suppressed PWH. We examine the advantages of each imaging modality and systematic approaches in study design and analysis. We also consider advantages of combining experimental and statistical control techniques to improve sensitivity and specificity of biotype identification and explore the costs and benefits of aggregating data from multiple studies to achieve larger sample sizes, enabling use of emerging methods for combining and analyzing large, multifaceted data sets. Many of the topics addressed in this article were discussed at the National Institute of Mental Health meeting "Biotypes of CNS Complications in People Living with HIV," held in October 2021, and are part of ongoing research initiatives to define the role of neuroimaging in emerging alternative approaches to identifying biotypes of CNS complications in PWH. An outcome of these considerations may be the development of a common neuroimaging protocol available for researchers to use in future studies examining neurological changes in the brains of PWH.
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Affiliation(s)
- Erin E O’Connor
- Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Edith V Sullivan
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA
- Center for Health Sciences, SRI International, Menlo Park, California, USA
| | - Linda Chang
- Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Dima A Hammoud
- Center for Infectious Disease Imaging, Radiology and Imaging Sciences, NIH Clinical Center, Bethesda, Maryland, USA
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, Nebraska, USA
| | - Ann B Ragin
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Christina S Meade
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Jennifer Coughlin
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri, USA
| | - Beau M Ances
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Flounlacker KM, Hahn YK, Xu R, Simons CA, Tian T, Hauser KF, Knapp PE. Myelin regulatory factor is a target of individual and interactive effects of HIV-1 Tat and morphine in the striatum and pre-frontal cortex. J Neurovirol 2023; 29:15-26. [PMID: 36853588 DOI: 10.1007/s13365-022-01107-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 11/11/2022] [Accepted: 11/25/2022] [Indexed: 03/01/2023]
Abstract
HIV-associated neurocognitive disorders (HAND) remain pervasive even with increased efficacy/use of antiretroviral therapies. Opioid use/abuse among HIV + individuals is documented to exacerbate CNS deficits. White matter (WM) alterations, including myelin pallor, and volume/structural alterations detected by diffusion tensor imaging are common observations in HIV + individuals, and studies in non-human primates suggest that WM may harbor virus. Using transgenic mice that express the HIV-1 Tat protein, we examined in vivo effects of 2-6 weeks of Tat and morphine exposure on WM using genomic and biochemical methods. RNA sequencing of striatal tissue at 2 weeks revealed robust changes in mRNAs associated with oligodendrocyte precursor populations and myelin integrity, including those for transferrin, the atypical oligodendrocyte marker N-myc downstream regulated 1 (Ndrg1), and myelin regulatory factor (Myrf/Mrf), an oligodendrocyte-specific transcription factor with a significant role in oligodendrocyte differentiation/maturation. Western blots conducted after 6-weeks exposure in 3 brain regions (striatum, corpus callosum, pre-frontal cortex) revealed regional differences in the effect of Tat and morphine on Myrf levels, and on levels of myelin basic protein (MBP), whose transcription is regulated by Myrf. Responses included individual and interactive effects. Although baseline and post-treatment levels of Myrf and MBP differed between brain regions, post-treatment MBP levels in striatum and pre-frontal cortex were compatible with changes in Myrf activity. Additionally, the Myrf regulatory ubiquitin ligase Fbxw7 was identified as a novel target in our model. These results suggest that Myrf and Fbxw7 contribute to altered myelin gene regulation in HIV.
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Affiliation(s)
- Kelly M Flounlacker
- Departments of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, 1101 E. Marshall St, Richmond, VA, 23298-0709, USA.
| | - Yun Kyung Hahn
- Departments of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, 1101 E. Marshall St, Richmond, VA, 23298-0709, USA
| | - Ruqiang Xu
- Departments of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, 1101 E. Marshall St, Richmond, VA, 23298-0709, USA
| | - Chloe A Simons
- Departments of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, 1101 E. Marshall St, Richmond, VA, 23298-0709, USA
| | - Tao Tian
- Pharmacology and Toxicology, Virginia Commonwealth University School of Medicine, Richmond, VA, 23298, USA
| | - Kurt F Hauser
- Departments of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, 1101 E. Marshall St, Richmond, VA, 23298-0709, USA.,Pharmacology and Toxicology, Virginia Commonwealth University School of Medicine, Richmond, VA, 23298, USA.,The Institute for Drug and Alcohol Studies, Virginia Commonwealth University School of Medicine, Richmond, VA, 23298, USA
| | - Pamela E Knapp
- Departments of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, 1101 E. Marshall St, Richmond, VA, 23298-0709, USA.,Pharmacology and Toxicology, Virginia Commonwealth University School of Medicine, Richmond, VA, 23298, USA.,The Institute for Drug and Alcohol Studies, Virginia Commonwealth University School of Medicine, Richmond, VA, 23298, USA
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Hall SA, Bell RP, Gadde S, Towe SL, Nadeem MT, McCann PS, Song AW, Meade CS. Strengthened and posterior-shifted structural rich-club organization in people who use cocaine. Drug Alcohol Depend 2022; 235:109436. [PMID: 35413558 PMCID: PMC9948276 DOI: 10.1016/j.drugalcdep.2022.109436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 03/18/2022] [Accepted: 03/30/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND People with cocaine use disorder (CUD) often have abnormal cognitive function and brain structure. Cognition is supported by brain networks that typically have characteristics like rich-club organization, which is a group of regions that are highly connected across the brain and to each other, and small worldness, which is a balance between local and long-distance connections. However, it is unknown whether there are abnormalities in structural brain network connectivity of CUD. METHODS Using diffusion-weighted imaging, we measured structural connectivity in 37 people with CUD and 38 age-matched controls. We identified differences in rich-club organization and whether such differences related to small worldness and behavior. We also tested whether rich-club reorganization was associated with caudate and putamen structural connectivity due to the relevance of the dopamine system to cocaine use. RESULTS People with CUD had a higher normalized rich-club coefficient than controls, more edges connecting rich-club nodes to each other and to non-rich-club nodes, and fewer edges connecting non-rich-club nodes. Rich-club nodes were shifted posterior and lateral. Rich-club reorganization was related to lower clustered connectivity around individual nodes found in CUD, to increased impulsivity, and to a decrease in caudate connectivity. CONCLUSIONS These findings are consistent with previous work showing increased rich-club connectivity in conditions associated with a hypofunctional dopamine system. The posterior shift in rich-club nodes in CUD suggests that the structural connectivity of posterior regions may be more impacted than previously recognized in models based on brain function and morphology.
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Affiliation(s)
- Shana A. Hall
- Duke University School of Medicine, Department of Psychiatry and Behavioral Sciences. Campus Box 102848, Durham, NC 27710, USA
| | - Ryan P. Bell
- Duke University School of Medicine, Department of Psychiatry and Behavioral Sciences. Campus Box 102848, Durham, NC 27710, USA
| | - Syam Gadde
- Brain Imaging and Analysis Center, Duke University Medical Center. Campus Box 3918, Durham, NC 27710, USA
| | - Sheri L. Towe
- Duke University School of Medicine, Department of Psychiatry and Behavioral Sciences. Campus Box 102848, Durham, NC 27710, USA
| | - Muhammad Tauseef Nadeem
- Duke University School of Medicine, Department of Psychiatry and Behavioral Sciences. Campus Box 102848, Durham, NC 27710, USA
| | - Peter S. McCann
- Duke University Hospital. 2301 Erwin Rd, Durham, NC 27710, USA
| | - Allen W. Song
- Brain Imaging and Analysis Center, Duke University Medical Center. Campus Box 3918, Durham, NC 27710, USA
| | - Christina S. Meade
- Duke University School of Medicine, Department of Psychiatry and Behavioral Sciences. Campus Box 102848, Durham, NC 27710, USA.,Brain Imaging and Analysis Center, Duke University Medical Center. Campus Box 3918, Durham, NC 27710, USA
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Ayala OD, Banta D, Hovhannisyan M, Duarte L, Lozano A, García JR, Montañés P, Davis SW, De Brigard F. Episodic Past, Future, and counterfactual thinking in Relapsing-Remitting Multiple sclerosis. Neuroimage Clin 2022; 34:103033. [PMID: 35561552 PMCID: PMC9112031 DOI: 10.1016/j.nicl.2022.103033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 05/01/2022] [Accepted: 05/03/2022] [Indexed: 11/16/2022]
Abstract
Performance in episodic past, future or counterfactual thinking in relapsing-remitting MS and controls was explored. Behavioral and diffusion weighted imaging were used to evaluate associations between white matter integrity and group differences in performance. Relative to controls, MS patients showed reductions in episodic details across all three simulations. Reduced white matter integrity in three association tracts predicted this reduction in episodic details during counterfactual simulations.
Multiple sclerosis (MS) is a progressive disease characterized by widespread white matter lesions in the brain and spinal cord. In addition to well-characterized motor deficits, MS results in cognitive impairments in several domains, notably in episodic autobiographical memory. Recent studies have also revealed that patients with MS exhibit deficits in episodic future thinking, i.e., our capacity to imagine possible events that may occur in our personal future. Both episodic memory and episodic future thinking have been shown to share cognitive and neural mechanisms with a related kind of hypothetical simulation known as episodic counterfactual thinking: our capacity to imagine alternative ways in which past personal events could have occurred but did not. However, the extent to which episodic counterfactual thinking is affected in MS is still unknown. The current study sought to explore this issue by comparing performance in mental simulation tasks involving either past, future or counterfactual thoughts in relapsing-remitting MS. Diffusion weighted imaging (DWI) measures were also extracted to determine whether changes in structural pathways connecting the brain’s default mode network (DMN) would be associated with group differences in task performance. Relative to controls, patients showed marked reductions in the number of internal details across all mental simulations, but no differences in the number of external and semantic-based details. It was also found that, relative to controls, patients with relapsing-remitting MS reported reduced composition ratings for episodic simulations depicting counterfactual events, but not so for actual past or possible future episodes. Additionally, three DWI measures of white matter integrity—fractional anisotropy, radial diffusivity and streamline counts—showed reliable differences between patients with relapsing-remitting MS and matched healthy controls. Importantly, DWI measures associated with reduced white matter integrity in three association tracts on the DMN—the right superior longitudinal fasciculus, the left hippocampal portion of the cingulum and the left inferior longitudinal fasciculus—predicted reductions in the number of internal details during episodic counterfactual simulations. Taken together, these results help to illuminate impairments in episodic simulation in relapsing-remitting MS and show, for the first time, a differential association between white matter integrity and deficits in episodic counterfactual thinking in individuals with relapsing-remitting MS.
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Affiliation(s)
- Oscar Daniel Ayala
- Department of Psychology, Universidad Nacional de Colombia, Bogotá, Colombia; Clínica de Marly, Bogotá, Colombia
| | - Daisy Banta
- Department of Neurology, Duke University School of Medicine, Durham, NC, USA
| | - Mariam Hovhannisyan
- Department of Neurology, Duke University School of Medicine, Durham, NC, USA
| | | | | | | | - Patricia Montañés
- Department of Psychology, Universidad Nacional de Colombia, Bogotá, Colombia
| | - Simon W Davis
- Department of Neurology, Duke University School of Medicine, Durham, NC, USA; Duke Institute for Brain Sciences, Duke University, Durham, NC, USA
| | - Felipe De Brigard
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA; Center for Cognitive Neuroscience, Duke University, Durham, NC, USA; Duke Institute for Brain Sciences, Duke University, Durham, NC, USA; Department of Philosophy, Duke University, Durham, NC, USA.
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