55 results on '"Maron-Katz, Adi"'
Search Results
52. EXPANDER – an integrative program suite for microarray data analysis
- Author
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Shamir, Ron, primary, Maron-Katz, Adi, additional, Tanay, Amos, additional, Linhart, Chaim, additional, Steinfeld, Israel, additional, Sharan, Roded, additional, Shiloh, Yosef, additional, and Elkon, Ran, additional
- Published
- 2005
- Full Text
- View/download PDF
53. Using fMRI connectivity to define a treatment-resistant form of post-traumatic stress disorder.
- Author
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Thompson, Allison, Zack, Sanno, Arnow, Bruce A., Huemer, Julia, Zaiko, Yevgeniya V., Hallmayer, Joachim, Etkin, Amit, Maron-Katz, Adi, Fonzo, Gregory A., Patenaude, Brian, Keller, Corey J., Shpigel, Emmanuel, Longwell, Parker, Toll, Russ T., Edelstein, Raleigh, Autea, Jillian, Wu, Wei, Peng, Kathy K., Weiss, Elizabeth, and Lindley, Steven E.
- Subjects
POST-traumatic stress disorder ,HUMAN phenotype ,FUNCTIONAL magnetic resonance imaging ,TREATMENT of post-traumatic stress disorder ,PSYCHOTHERAPY - Abstract
A subgroup of patients with post-traumatic stress disorder, characterized by a particular brain and behavioral signature, showed a poor treatment outcome. PTSD's secrets hidden in a VAN: Post-traumatic stress disorder (PTSD) is a severe psychiatric illness. Psychotherapy is the only effective treatment for PTSD but only works in a portion of patients. Etkin and colleagues now report a neuroimaging and behavioral signature in a subgroup of PTSD patients who failed to respond to psychotherapy. This signature was associated with impairments in fMRI connectivity in the brain's ventral attention network and a deficit on a word list learning task. Use of noninvasive brain stimulation in combination with neuroimaging identified a brain location in which network connectivity correlated with the effects of stimulation. This work may help to define a target for future noninvasive brain stimulation approaches for treating patients with PTSD who are refractory to psychotherapy. A mechanistic understanding of the pathology of psychiatric disorders has been hampered by extensive heterogeneity in biology, symptoms, and behavior within diagnostic categories that are defined subjectively. We investigated whether leveraging individual differences in information-processing impairments in patients with post-traumatic stress disorder (PTSD) could reveal phenotypes within the disorder. We found that a subgroup of patients with PTSD from two independent cohorts displayed both aberrant functional connectivity within the ventral attention network (VAN) as revealed by functional magnetic resonance imaging (fMRI) neuroimaging and impaired verbal memory on a word list learning task. This combined phenotype was not associated with differences in symptoms or comorbidities, but nonetheless could be used to predict a poor response to psychotherapy, the best-validated treatment for PTSD. Using concurrent focal noninvasive transcranial magnetic stimulation and electroencephalography, we then identified alterations in neural signal flow in the VAN that were evoked by direct stimulation of that network. These alterations were associated with individual differences in functional fMRI connectivity within the VAN. Our findings define specific neurobiological mechanisms in a subgroup of patients with PTSD that could contribute to the poor response to psychotherapy. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
54. Using fMRI connectivity to define a treatment-resistant form of post-traumatic stress disorder
- Author
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Yevgeniya V. Zaiko, Duna Abu-Amara, Adi Maron-Katz, Russell T. Toll, Desmond J. Oathes, Brian Patenaude, Irene Akingbade, Jillian Autea, Emmanuel Shpigel, Roland Hart, Madeleine S. Goodkind, Elizabeth Weiss, Wei Wu, Raleigh Edelstein, Parker Longwell, Sanno E. Zack, Steven E. Lindley, Charles R. Marmar, Silas Mann, Edward T. Bullmore, Kathleen Durkin, Allison L. Thompson, Petra E. Vértes, Afia Genfi, Barbara O. Rothbaum, Jaime Ramos-Cejudo, Steven H. Baete, Jennifer Newman, Silvia Fossati, Gregory A. Fonzo, Kathy Peng, Nicolas Crossley, Jonas Richiardi, Fernando E. Boada, Bryan Gonzalez, Joachim Hallmayer, Corey J. Keller, Amit Etkin, Bruce A. Arnow, Ruth O'Hara, Jingyun Chen, Julia Huemer, Etkin, Amit [0000-0001-8259-3521], Maron-Katz, Adi [0000-0003-4246-1748], Wu, Wei [0000-0003-1901-9134], Huemer, Julia [0000-0003-1942-763X], Vértes, Petra E [0000-0002-0992-3210], Richiardi, Jonas [0000-0002-6975-5634], Keller, Corey J [0000-0003-0529-3490], Ramos-Cejudo, Jaime [0000-0002-0993-9909], Zaiko, Yevgeniya V [0000-0003-0151-5455], Longwell, Parker [0000-0001-8344-1685], Toll, Russ T [0000-0002-7655-6668], Thompson, Allison [0000-0003-3937-0327], Edelstein, Raleigh [0000-0003-2415-3610], Akingbade, Irene [0000-0002-1071-327X], Mann, Silas [0000-0003-3152-5208], Baete, Steven H [0000-0003-3361-3789], Boada, Fernando E [0000-0002-3289-9917], Newman, Jennifer [0000-0002-5526-9600], Oathes, Desmond J [0000-0001-7346-2669], Lindley, Steven E [0000-0003-0051-8224], Abu-Amara, Duna [0000-0003-2050-3484], Arnow, Bruce A [0000-0003-1645-857X], Crossley, Nicolas [0000-0002-3060-656X], Hallmayer, Joachim [0000-0002-8520-4939], Fossati, Silvia [0000-0002-2047-222X], Bullmore, Edward T [0000-0002-8955-8283], O'Hara, Ruth [0000-0001-6583-4995], and Apollo - University of Cambridge Repository
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medicine.medical_treatment ,Rest ,Comorbidity ,Electroencephalography ,Basic Behavioral and Social Science ,Medical and Health Sciences ,Brain mapping ,Article ,Stress Disorders, Post-Traumatic ,03 medical and health sciences ,0302 clinical medicine ,Neuroimaging ,Clinical Research ,Behavioral and Social Science ,medicine ,2.1 Biological and endogenous factors ,Humans ,Attention ,Aetiology ,Stress Disorders ,Behavior ,Brain Mapping ,medicine.diagnostic_test ,Rehabilitation ,Neurosciences ,Traumatic stress ,General Medicine ,Biological Sciences ,Serious Mental Illness ,Post-Traumatic Stress Disorder (PTSD) ,medicine.disease ,Anxiety Disorders ,Magnetic Resonance Imaging ,Transcranial Magnetic Stimulation ,Brain Disorders ,030227 psychiatry ,Transcranial magnetic stimulation ,Mental Health ,Treatment Outcome ,Mental Recall ,Post-Traumatic ,Verbal memory ,Nerve Net ,Functional magnetic resonance imaging ,Neuroscience ,030217 neurology & neurosurgery - Abstract
A mechanistic understanding of the pathology of psychiatric disorders has been hampered by extensive heterogeneity in biology, symptoms, and behavior within diagnostic categories that are defined subjectively. We investigated whether leveraging individual differences in information-processing impairments in patients with post-traumatic stress disorder (PTSD) could reveal phenotypes within the disorder. We found that a subgroup of patients with PTSD from two independent cohorts displayed both aberrant functional connectivity within the ventral attention network (VAN) as revealed by functional magnetic resonance imaging (fMRI) neuroimaging and impaired verbal memory on a word list learning task. This combined phenotype was not associated with differences in symptoms or comorbidities, but nonetheless could be used to predict a poor response to psychotherapy, the best-validated treatment for PTSD. Using concurrent focal noninvasive transcranial magnetic stimulation and electroencephalography, we then identified alterations in neural signal flow in the VAN that were evoked by direct stimulation of that network. These alterations were associated with individual differences in functional fMRI connectivity within the VAN. Our findings define specific neurobiological mechanisms in a subgroup of patients with PTSD that could contribute to the poor response to psychotherapy.
- Published
- 2019
55. Information flow and coherence of EEG during awake, meditation and drowsiness.
- Author
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Dissanayaka C, Ben-Simon E, Gruberger M, Maron-Katz A, Hendler T, Chaparro-Vargas R, and Cvetkovic D
- Subjects
- Adult, Algorithms, Electrodes, Healthy Volunteers, Humans, Male, Meditation, Middle Aged, Models, Statistical, Signal Processing, Computer-Assisted, Sleep Stages, Software, Awareness physiology, Brain physiology, Electroencephalography, Wakefulness physiology
- Abstract
A comparison of coupling (information flow) and coherence (connectedness) of the brain regions between human awake, meditation and drowsiness states was carried out in this study. The Directed Transfer Function (DTF) method was used to estimate the coupling or brain's flow of information between different regions during each condition. Welch and Minimum Variance Distortionless Response (MVDR) methods were utilised to estimate the coherence between brain areas. Analysis was conducted using the EEG data of 30 subjects (10 awake, 10 drowsiness and 10 meditating) with 6 EEG electrodes. The EEG data was recorded for each subject during 5 minutes baseline and 15 minutes of three specific conditions (awake, meditation or drowsiness). Statistical analysis was carried out which consisted of the Kruskal-Wallis (KW) non-parametric analysis of variance followed by post-hoc tests with Bonferroni alpha-correction. The results of this study revealed that a change in external awareness led to substantial differences in the spectral profile of the brain's information flow as well as it's connectedness.
- Published
- 2014
- Full Text
- View/download PDF
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