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https://www.readbyqxmd.com/read/28525836/arterial-spin-labelling-shows-functional-depression-of-non-lesion-tissue-in-chronic-wernicke-s-aphasia
#1
Holly Robson, Karsten Specht, Helen Beaumont, Laura M Parkes, Karen Sage, Matthew A Lambon Ralph, Roland Zahn
Behavioural impairment post-stroke is a consequence of structural damage and altered functional network dynamics. Hypoperfusion of intact neural tissue is frequently observed in acute stroke, indicating reduced functional capacity of regions outside the lesion. However, cerebral blood flow (CBF) is rarely investigated in chronic stroke. This study investigated CBF in individuals with chronic Wernicke's aphasia (WA) and examined the relationship between lesion, CBF and neuropsychological impairment. Arterial spin labelling CBF imaging and structural MRIs were collected in 12 individuals with chronic WA and 13 age-matched control participants...
November 10, 2016: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28269167/supervised-multimodal-fusion-and-its-application-in-searching-joint-neuromarkers-of-working-memory-deficits-in-schizophrenia
#2
Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah McEwen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui
Multimodal fusion is an effective approach to better understand brain disease. To date, most current fusion approaches are unsupervised; there is need for a multivariate method that can adopt prior information to guide multimodal fusion. Here we proposed a novel supervised fusion model, called "MCCAR+jICA", which enables both identification of multimodal co-alterations and linking the covarying brain regions with a specific reference signal, e.g., cognitive scores. The proposed method has been validated on both simulated and real human brain data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227396/supervised-multimodal-fusion-and-its-application-in-searching-joint-neuromarkers-of-working-memory-deficits-in-schizophrenia
#3
Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah Mc Ewen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui, Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah McEwen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui
Multimodal fusion is an effective approach to better understand brain disease. To date, most current fusion approaches are unsupervised; there is need for a multivariate method that can adopt prior information to guide multimodal fusion. Here we proposed a novel supervised fusion model, called "MCCAR+jICA", which enables both identification of multimodal co-alterations and linking the covarying brain regions with a specific reference signal, e.g., cognitive scores. The proposed method has been validated on both simulated and real human brain data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/27867700/mental-stress-assessment-using-simultaneous-measurement-of-eeg-and-fnirs
#4
Fares Al-Shargie, Masashi Kiguchi, Nasreen Badruddin, Sarat C Dass, Ahmad Fadzil Mohammad Hani, Tong Boon Tang
Previous studies reported mental stress as one of the major contributing factors leading to various diseases such as heart attack, depression and stroke. An accurate stress assessment method may thus be of importance to clinical intervention and disease prevention. We propose a joint independent component analysis (jICA) based approach to fuse simultaneous measurement of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) on the prefrontal cortex (PFC) as a means of stress assessment...
October 1, 2016: Biomedical Optics Express
https://www.readbyqxmd.com/read/27622140/using-concurrent-eeg-and-fmri-to-probe-the-state-of-the-brain-in-schizophrenia
#5
Judith M Ford, Brian J Roach, Vanessa A Palzes, Daniel H Mathalon
Perceptional abnormalities in schizophrenia are associated with hallucinations and delusions, but also with negative symptoms and poor functional outcome. Perception can be studied using EEG-derived event related potentials (ERPs). Because of their excellent temporal resolution, ERPs have been used to ask when perception is affected by schizophrenia. Because of its excellent spatial resolution, functional magnetic resonance imaging (fMRI) has been used to ask where in the brain these effects are seen. We acquired EEG and fMRI data simultaneously to explore when and where auditory perception is affected by schizophrenia...
2016: NeuroImage: Clinical
https://www.readbyqxmd.com/read/27416610/a-realistic-framework-for-investigating-decision-making-in-the-brain-with-high-spatiotemporal-resolution-using-simultaneous-eeg-fmri-and-joint-ica
#6
Sreenath P Kyathanahally, Ana Franco-Watkins, Xiaoxia Zhang, Vince D Calhoun, Gopikrishna Deshpande
Human decision making is a multidimensional construct, driven by a complex interplay between external factors, internal biases, and computational capacity constraints. Here, we propose a layered approach to experimental design in which multiple tasks-from simple to complex-with additional layers of complexity introduced at each stage are incorporated for investigating decision making. This is demonstrated using tasks involving intertemporal choice between immediate and future prospects. Previous functional magnetic resonance imaging (fMRI) and electroencephalographic (EEG) studies have separately investigated the spatial and temporal neural substrates, respectively, of specific factors underlying decision making...
May 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/26970857/feature-based-mri-data-fusion-for-cardiac-arrhythmia-studies
#7
Karl Magtibay, Mohammadali Beheshti, Farbod Hosseyndoust Foomany, Stéphane Massé, Patrick F H Lai, Nima Zamiri, John Asta, Kumaraswamy Nanthakumar, David Jaffray, Sridhar Krishnan, Karthikeyan Umapathy
Current practices in studying cardiac arrhythmias primarily use electrical or optical surface recordings of a heart, spatially limited transmural recordings, and mathematical models. However, given that such arrhythmias occur on a 3D myocardial tissue, information obtained from such practices lack in dimension, completeness, and are sometimes prone to oversimplification. The combination of complementary Magnetic-Resonance Imaging (MRI)-based techniques such as Current Density Imaging (CDI) and Diffusion Tensor Imaging (DTI) could provide more depth to current practices in assessing the cardiac arrhythmia dynamics in entire cross sections of myocardium...
May 1, 2016: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/26617533/joint-coupling-of-awake-eeg-frequency-activity-and-mri-gray-matter-volumes-in-the-psychosis-dimension-a-bsnip-study
#8
Pauline Soh, Balaji Narayanan, Sabin Khadka, Vince D Calhoun, Matcheri S Keshavan, Carol A Tamminga, John A Sweeney, Brett A Clementz, Godfrey D Pearlson
BACKGROUND: Many studies have examined either electroencephalogram (EEG) frequency activity or gray matter volumes (GMV) in various psychoses [including schizophrenia (SZ), schizoaffective (SZA), and psychotic bipolar disorder (PBP)]. Prior work demonstrated similar EEG and gray matter abnormalities in both SZ and PBP. Integrating EEG and GMV and jointly analyzing the combined data fully elucidates the linkage between the two and may provide better biomarker- or endophenotype-specificity for a particular illness...
2015: Frontiers in Psychiatry
https://www.readbyqxmd.com/read/26448909/impaired-target-detection-in-schizophrenia-and-the-ventral-attentional-network-findings-from-a-joint-event-related-potential-functional-mri-analysis
#9
Jonathan K Wynn, Amy M Jimenez, Brian J Roach, Alexander Korb, Junghee Lee, William P Horan, Judith M Ford, Michael F Green
Schizophrenia patients have abnormal neural responses to salient, infrequent events. We integrated event-related potentials (ERP) and fMRI to examine the contributions of the ventral (salience) and dorsal (sustained) attention networks to this dysfunctional neural activation. Twenty-one schizophrenia patients and 22 healthy controls were assessed in separate sessions with ERP and fMRI during a visual oddball task. Visual P100, N100, and P300 ERP waveforms and fMRI activation were assessed. A joint independent components analysis (jICA) on the ERP and fMRI data were conducted...
2015: NeuroImage: Clinical
https://www.readbyqxmd.com/read/26411938/-lessons-from-field-studies
#10
REVIEW
Takesumi Yoshimura
During my academic career for more than 40 years, I was involved in 18 epidemiological field studies, partially or fully. Among these field studies, four (1. Medical services in remote rural areas in Okinawa, 2. Yusho episode, 3. JICA Onchocerciasis Control Project in Guatemala, and 4. Miyako cohort study in Fukuoka) are introduced in this paper, including the latest situation after the presentation. Through these field works experienced by the author, the following lessons were gained. 1. Strong human reliance between researchers and the targeted population is essential in carrying out epidemiological surveys successfully in the field...
2015: Nihon Eiseigaku Zasshi. Japanese Journal of Hygiene
https://www.readbyqxmd.com/read/26092283/cross-sectional-analysis-of-self-efficacy-and-social-capital-in-a-community-based-healthy-village-project-in-santa-cruz-bolivia
#11
Motoyuki Yuasa, Yoshihisa Shirayama, Keiichi Osato, Cesar Miranda, Julia Condore, Roxana Siles
BACKGROUND: An assessment of self-efficacy and social capital may have the potential to detect an effect of dynamic, complex and comprehensive collective actions in community-based health promotion. In 2003, a healthy village project was launched in Santa Cruz, Bolivia with technical assistance from the Japan International Cooperation Agency (JICA). The originally developed FORSA (Fortalecimiento de Redes de Salud) model accounted for participatory processes in which people could improve their health and well-being through individual behavioral changes and family/community-driven activities...
2015: BMC International Health and Human Rights
https://www.readbyqxmd.com/read/26038825/alterations-of-gray-and-white-matter-networks-in-patients-with-obsessive-compulsive-disorder-a-multimodal-fusion-analysis-of-structural-mri-and-dti-using-mcca-jica
#12
Seung-Goo Kim, Wi Hoon Jung, Sung Nyun Kim, Joon Hwan Jang, Jun Soo Kwon
Many of previous neuroimaging studies on neuronal structures in patients with obsessive-compulsive disorder (OCD) used univariate statistical tests on unimodal imaging measurements. Although the univariate methods revealed important aberrance of local morphometry in OCD patients, the covariance structure of the anatomical alterations remains unclear. Motivated by recent developments of multivariate techniques in the neuroimaging field, we applied a fusion method called "mCCA+jICA" on multimodal structural data of T1-weighted magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) of 30 unmedicated patients with OCD and 34 healthy controls...
2015: PloS One
https://www.readbyqxmd.com/read/25610773/fusion-analysis-of-first-episode-depression-where-brain-shape-deformations-meet-local-composition-of-tissue
#13
Mahdi Ramezani, Purang Abolmaesumi, Amir Tahmasebi, Rachael Bosma, Ryan Tong, Tom Hollenstein, Kate Harkness, Ingrid Johnsrude
Computational neuroanatomical techniques that are used to evaluate the structural correlates of disorders in the brain typically measure regional differences in gray matter or white matter, or measure regional differences in the deformation fields required to warp individual datasets to a standard space. Our aim in this study was to combine measurements of regional tissue composition and of deformations in order to characterize a particular brain disorder (here, major depressive disorder). We use structural Magnetic Resonance Imaging (MRI) data from young adults in a first episode of depression, and from an age- and sex-matched group of non-depressed individuals, and create population gray matter (GM) and white matter (WM) tissue average templates using DARTEL groupwise registration...
2015: NeuroImage: Clinical
https://www.readbyqxmd.com/read/25571259/fusion-of-structural-and-functional-cardiac-magnetic-resonance-imaging-data-for-studying-ventricular-fibrillation
#14
K Magtibay, M Beheshti, F H Foomany, K Balasundaram, S Masse, P Lai, J Asta, N Zamiri, D A Jaffray, K Nanthakumar, S Krishnan, K Umapathy
Magnetic Resonance Imaging (MRI) techniques such as Current Density Imaging (CDI) and Diffusion Tensor Imaging (DTI) provide a complementing set of imaging data that can describe both the functional and structural states of biological tissues. This paper presents a Joint Independent Component Analysis (jICA) based fusion approach which can be utilized to fuse CDI and DTI data to quantify the differences between two cardiac states: Ventricular Fibrillation (VF) and Asystolic/Normal (AS/NM). Such an approach could lead to a better insight on the mechanism of VF...
2014: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/25073167/joint-sparse-representation-of-brain-activity-patterns-in-multi-task-fmri-data
#15
M Ramezani, K Marble, H Trang, I S Johnsrude, P Abolmaesumi
A single-task functional magnetic resonance imaging (fMRI) experiment may only partially highlight alterations to functional brain networks affected by a particular disorder. Multivariate analysis across multiple fMRI tasks may increase the sensitivity of fMRI-based diagnosis. Prior research using multi-task analysis in fMRI, such as those that use joint independent component analysis (jICA), has mainly assumed that brain activity patterns evoked by different tasks are independent. This may not be valid in practice...
January 2015: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/24769582/-two-research-projects-on-infectious-diseases-conducted-in-noguchi-memorial-institute-for-medical-research-university-of-ghana-by-tokyo-medical-and-dental-university
#16
Eiji Ido, Shoji Yamaoka
Ghana-Tokyo Medical and Dental University Research Collaboration Center has been established since 2008 when our Program was chosen together with the Program in the Philippines proposed by Tohoku University as an additional small-scale research center of the Overseas Research Program on Emerging and Reemerging Diseases that is funded by the Ministry of Education, Culture, Sports, Science and Technology of the Japanese Government and started in 2005. This 5-year government-supported Program has changed its name to develop into a more active world-level program called Japan Initiative for Global Research Network on Infectious Diseases (J-GRID) and entered the second 5-year phase in 2010, and our Program is playing an important role among other research centers located in Asia and Africa...
2013: Uirusu
https://www.readbyqxmd.com/read/24769581/-kenya-research-station-and-viral-infectious-disease-research
#17
Yoshio Ichinose
The Institute of Tropical Medicine, Kenya Research Station, Nagasaki University was established by a fund of the Ministry of Education (MEXT) in 2005. Currently, the station has been on ''The Clinical and Epidemiological Research Program of Tropical Medicine and Emerging Infectious Diseases-Establishment of Education and Research System between Africa and Japan- ''. The project has been supported by about 20 Japanese staff and 85 Kenyan staff, and in the research station, 10 research teams have worked on their researches for the prevention of tropical medicine and emerging diseases collaborating with other researches and The JICA Grassroots Technical Cooperation Project has also started in 2012...
2013: Uirusu
https://www.readbyqxmd.com/read/24769579/-research-activities-in-kobe-indonesia-collaborative-research-centers
#18
Takako Utsumi, Yoshitake Hayashi, Hak Hotta
Kobe-Indonesia Collaborative Research Center was established in Institute of Tropical Disease (ITD), Airlangga University, Surabaya, Indonesia in 2007 under the program of ''Founding Research Centers for Emerging and Reemerging Infectious Diseases'' supported by the Ministry of Education, Culture, Sports, Science and Technology, Japan, and then it has been under the Japan Initiative for Global Research Network on Infectious Diseases (J-GRID) since 2010. Japanese researchers have been stationed at ITD, conducting joint researches on influenza, viral hepatitis, dengue and infectious diarrhea...
2013: Uirusu
https://www.readbyqxmd.com/read/24769578/-j-grid-and-satreps-programs-in-thailand
#19
Masanori Kameoka, Tadahiro Sasaki
Thailand-Japan Research Collaboration Center on Emerging and Re-emerging Infections (RCC-ERI) was established in 2005 as a research collaboration center cooperated by Research Institute for Microbial Diseases (RIMD), Osaka University and Department of Medical Sciences, Ministry of Public Health of Thailand. In addition, Mahidol-Osaka Center for Infectious Diseases (MOCID) was established in 2010, also as another research collaboration center cooperated by RIMD, Osaka University and Faculty of Tropical Medicine, Mahidol University...
2013: Uirusu
https://www.readbyqxmd.com/read/24519260/fusion-analysis-of-functional-mri-data-for-classification-of-individuals-based-on-patterns-of-activation
#20
Mahdi Ramezani, Purang Abolmaesumi, Kris Marble, Heather Trang, Ingrid Johnsrude
Classification of individuals based on patterns of brain activity observed in functional MRI contrasts may be helpful for diagnosis of neurological disorders. Prior work for classification based on these patterns have primarily focused on using a single contrast, which does not take advantage of complementary information that may be available in multiple contrasts. Where multiple contrasts are used, the objective has been only to identify the joint, distinct brain activity patterns that differ between groups of subjects; not to use the information to classify individuals...
June 2015: Brain Imaging and Behavior
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