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Dive into the research topics where Maya Bleich-Cohen is active.

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Featured researches published by Maya Bleich-Cohen.


The Journal of Neuroscience | 2011

Global Functional Connectivity Deficits in Schizophrenia Depend on Behavioral State

Roy Salomon; Maya Bleich-Cohen; Avital Hahamy-Dubossarsky; Ilan Dinstien; Ronit Weizman; Michael Poyurovsky; Marina Kupchik; Moshe Kotler; Talma Hendler; Rafael Malach

Schizophrenia is a devastating psychiatric illness characterized by deterioration of cognitive and emotional processing. It has been hypothesized that aberrant cortical connectivity is implicated in the disease (Friston, 1998), yet previous studies of functional connectivity (FC) in schizophrenia have shown mixed results (Garrity et al., 2007; Jafri et al., 2008; Lynall et al., 2010). We measured FC using fMRI in human schizophrenia patients and healthy controls during two different tasks and a rest condition, and constructed a voxel-based global FC index. We found a striking FC decrease in patients compared with controls. In the task conditions, relatively weaker FC was specific to regions of cortex not active during the task. In the rest condition, the FC difference between patients and controls was larger and allowed a case-by-case separation between individuals of the two groups. The results suggest that the relative reduction of FC in schizophrenia is dependent on the state of cortical activity, with voxels not activated by the task showing higher levels of FC deficiency. This novel finding may shed light on previous reports of FC in schizophrenia. Whether this neural characteristic is related to the development of the disorder remains to be established.


Cognitive, Affective, & Behavioral Neuroscience | 2016

Functional connectivity dynamics during film viewing reveal common networks for different emotional experiences

Gal Raz; Alexandra Touroutoglou; Christine D. Wilson-Mendenhall; Gadi Gilam; Tamar Lin; Tal Gonen; Yael Jacob; Shir Atzil; Roee Admon; Maya Bleich-Cohen; Adi Maron-Katz; Talma Hendler; Lisa Feldman Barrett

Recent theoretical and empirical work has highlighted the role of domain-general, large-scale brain networks in generating emotional experiences. These networks are hypothesized to process aspects of emotional experiences that are not unique to a specific emotional category (e.g., “sadness,” “happiness”), but rather that generalize across categories. In this article, we examined the dynamic interactions (i.e., changing cohesiveness) between specific domain-general networks across time while participants experienced various instances of sadness, fear, and anger. We used a novel method for probing the network connectivity dynamics between two salience networks and three amygdala-based networks. We hypothesized, and found, that the functional connectivity between these networks covaried with the intensity of different emotional experiences. Stronger connectivity between the dorsal salience network and the medial amygdala network was associated with more intense ratings of emotional experience across six different instances of the three emotion categories examined. Also, stronger connectivity between the dorsal salience network and the ventrolateral amygdala network was associated with more intense ratings of emotional experience across five out of the six different instances. Our findings demonstrate that a variety of emotional experiences are associated with dynamic interactions of domain-general neural systems.


Current Opinion in Psychiatry | 2009

Neurofunctional view of psychiatry: clinical brain imaging revisited.

Talma Hendler; Maya Bleich-Cohen; Haggai Sharon

Purpose of review Despite an exponential increase in the use of brain imaging in neuroscience, it has as yet hardly been integrated into clinical psychiatry. Our aim is to examine the potentials and perspectives of functional brain imaging in the diagnosis and treatment of mental disorders. Recent findings This review focuses on functional MRI in probing neural activation and on diffusion tensor imaging in delineating functionally related fibre-track organization. As a case study, it examines the state-of-the-art in applying these methods in schizophrenia by referring to several hurdles in the common clinical practice of psychiatry. First, we evaluate the ability of functional brain imaging to target various neuropathological mechanisms such as neurodegeneration, disrupted development and dysconnection. Then we discuss the use of brain-imaging genomics in identifying disease-specific genetic-based neuroendophenotypes. Lastly, we describe the current effort in using brain imaging to designate the most effective and least adverse treatment for patients with schizophrenia. Summary By examining the use of advanced MRI techniques in schizophrenia, we show both the remarkable variety of functional inferences, as well as their possible implications in clinical psychiatry. We advocate the need for extending the view on neuropathology from region-based to network-based, for integrating neurogenomic features as biological markers for illness definition and for relying on neural parameters to guide effective individual treatment.


Frontiers in Human Neuroscience | 2014

Does Co-Morbid Obsessive–Compulsive Disorder Modify the Abnormal Language Processing in Schizophrenia Patients? An fMRI Study

Maya Bleich-Cohen; Michael Poyurovsky; Talma Hendler; Ronit Weizman; Haggai Sharon

Background: Impaired language processing is one of the most replicated findings in functional brain studies of schizophrenia (SCH). This is demonstrated by reduced activations in left prefrontal language areas (i.e., BA44/45, the inferior frontal gyrus, IFG) presented as decreased language lateralization. This finding was documented both in chronic as well as in first-episode SCH patients, arguing for a neurobiological marker for SCH. In a previous study, we demonstrated the specificity of this finding to SCH patients when compared to obsessive–compulsive disorder (OCD) patients in whom language processing was similar to healthy controls. Since a sizable proportion of SCH patients also meet DSM-IV criteria for OCD, we further sought to elucidate whether OCD attenuates abnormal prefrontal language lateralization in this unique group of schizo-obsessive patients compared to their non-OCD-SCH counterparts. Methods: We used functional magnetic resonance imaging (fMRI) to investigate regional activation and language lateralization in the left and right IFG and inter-hemispheric functional connectivity (FC) during a language task of auditory verb generation in 14 SCH patients with OCD, compared to 17 SCH patients without OCD, 13 OCD patients and 14 healthy controls. Results: No between-group differences were found in the behavioral measurements of word generation. However, while OCD patients were indistinguishable from healthy volunteers, a similarly reduced lateralization in the IFG and diminished inter-hemispheric FC was noted in the two SCH groups with and without OCD. Conclusion: The co-occurrence of OCD in SCH does not attenuate abnormal processing of language as reflected by regional IFG activity and FC. These results further support the notion that these language processing abnormalities are characteristic of SCH and that SCH–OCD combined psychopathology is more akin to SCH than to OCD.


NeuroImage: Clinical | 2018

Abnormal neural hierarchy in processing of verbal information in patients with schizophrenia

Yulia Lerner; Maya Bleich-Cohen; Shimrit Solnik-Knirsh; Galit Yogev-Seligmann; Tamir Eisenstein; Waheed Madah; Alon Shamir; Talma Hendler; Ilana Kremer

Previous research indicates abnormal comprehension of verbal information in patients with schizophrenia. Yet the neural mechanism underlying the breakdown of verbal information processing in schizophrenia is poorly understood. Imaging studies in healthy populations have shown a network of brain areas involved in hierarchical processing of verbal information over time. Here, we identified critical aspects of this hierarchy, examining patients with schizophrenia. Using functional magnetic resonance imaging, we examined various levels of information comprehension elicited by naturally presented verbal stimuli; from a set of randomly shuffled words to an intact story. Specifically, patients with first episode schizophrenia (N = 15), their non-manifesting siblings (N = 14) and healthy controls (N = 15) listened to a narrated story and randomly scrambled versions of it. To quantify the degree of dissimilarity between the groups, we adopted an inter-subject correlation (inter-SC) approach, which estimates differences in synchronization of neural responses within and between groups. The temporal topography found in healthy and siblings groups were consistent with our previous findings – high synchronization in responses from early sensory toward high order perceptual and cognitive areas. In patients with schizophrenia, stimuli with short and intermediate temporal scales evoked a typical pattern of reliable responses, whereas story condition (long temporal scale) revealed robust and widespread disruption of the inter-SCs. In addition, the more similar the neural activity of patients with schizophrenia was to the average response in the healthy group, the less severe the positive symptoms of the patients. Our findings suggest that system-level neural indication of abnormal verbal information processing in schizophrenia reflects disease manifestations.


European Psychiatry | 2014

EPA-0414 – Breakdown of temporal hierarchy in neural processing of natural information: evidence from schizophrenia

Y. Lerner; W. Madah; Maya Bleich-Cohen; L. Roseman; S. Solnik; Galit Yogev-Seligmann; Talma Hendler; I. Kremer

Introduction The capacity to accumulate information over time is crucial to our functioning in an ever-changing world. Recently, in healthy subjects, we showed that brain uses a distributed and hierarchical network of brain areas to process information over time. Specifically, we revealed hierarchy of information processing over time from early sensory areas toward high order perceptual and cognitive areas. Here, we investigate this issue in first-episode schizophrenia patients. Objectives Previous studies posited that schizophrenia is the result of impairment of hierarchical temporal processing by the brain, claiming for impairment in use of context while being processing information. The hierarchical temporal deficit is a fundamental trait that may be a better target for the study of etiology and pathophysiology of the disease. Aims We intended to map, in schizophrenia patients, the topographical organization of temporal scales using an ecologically relevant auditory stimulus - a real-life story. In addition, we assumed that studying healthy siblings, who are at high-risk for cognitive dysfunctions, will enable to determine functional neuromarkers of predisposition to disorder. Methods The fMRI data were analyzed using inter-subject correlation approach. The time-courses within each brain area in schizophrenia patients were estimated against healthy controls and unaffected siblings of the patients. Results Among patients, we observed impaired hierarchy with processing intact in low level but disturbed in high level. The sibling group showed an intermediate effect. Conclusions Better understanding of the underlying neural circuit involved in information processing in schizophrenia patients may assist in early identification of functional neuromarkers for the disease.


Translational Psychiatry | 2018

Social affective context reveals altered network dynamics in schizophrenia patients

Talma Hendler; Gal Raz; Solnik Shimrit; Yael Jacob; Tamar Lin; Leor Roseman; Wahid Madah Wahid; Ilana Kremer; Marina Kupchik; Moshe Kotler; Maya Bleich-Cohen

Impairments in social cognition and interactions are core psychopathologies in schizophrenia, often manifesting as an inability to appropriately relate to the intentions and feelings of others. Neuroimaging has helped to demarcate the dynamics of two distinct functional connectivity circuits underlying the social-affective processes related to mentalization (known as Theory of Mind, ToM) and somatic-affiliation (known as Embodied Simulation, ES). While evidence points to abnormal activation patterns within these networks among those suffering from schizophrenia, it is yet unclear however, if these patients exhibit this abnormal functional connectivity in the context of social-affective experiences. The current fMRI study, investigated functional connectivity dynamics within ToM and ES networks as subjects experienced evolving cinematic portrayals of fear. During scanning, schizophrenia patients and healthy controls passively watched a cinematic scene in which a mother and her son face various threatening events. Participants then provided a continuous and retrospective report of their fear intensity during a second viewing outside the scanner. Using network cohesion index (NCI) analysis, we examined modulations of ES-related and ToM-related functional connectivity dynamics and their relation to symptom severity and the continuous emotional ratings of the induced cinematic fear. Compared to patients, healthy controls showed higher ES-NCI and marginally lower ToM-NCI during emotional peaks. Cross-correlation analysis revealed an intriguing dynamic between NCI and the inter-group difference of reported fear. Schizophrenia patients rated their fear as lower relative to healthy controls, shortly after exhibiting lower ES connectivity. This increased difference in rating was also followed by higher ToM connectivity among schizophrenia patients. The clinical relevance of these findings is further highlighted by the following two results: (a) ToM-NCI was found to have a strong correlation with the severity of general symptoms during one of the two main emotional peaks (Spearman R = 0.77); and (b) k-mean clustering demonstrated that the networks’ NCI dynamic during the social-affective context reliably differentiated between patients and controls. Together, these findings point to a possible neural marker for abnormal social-affective processing in schizophrenia, manifested as the disturbed balance between two functional networks involved in social-affective affiliation. This in turn suggests that exaggerated mentalization over somatic-affiliative processing, in response to another’s’ distress may underlie social-affective deficits in schizophrenia.


British Journal of Psychiatry | 2018

Repeated oral ketamine for out-patient treatment of resistant depression: randomised, double-blind, placebo-controlled, proof-of-concept study

Yoav Domany; Maya Bleich-Cohen; Ricardo Tarrasch; Roi Meidan; Olga Litvak-Lazar; Nadav Stoppleman; Shaul Schreiber; Miki Bloch; Talma Hendler; Haggai Sharon

BACKGROUND Ketamine has been demonstrated to improve depressive symptoms.AimsEvaluation of efficacy, safety and feasibility of repeated oral ketamine for out-patients with treatment-resistant depression (TRD). METHOD In a randomised, double-blind, placebo-controlled, proof-of-concept trial, 41 participants received either 1 mg/kg oral ketamine or placebo thrice weekly for 21 days (ClinicalTrials.gov Identifier: NCT02037503). Evaluation was performed at baseline, 40 and 240 min post administration and on days 3, 7, 14 and 21. The main outcome measure was change in Montgomery-Åsberg Depression Rating Scale (MADRS). RESULTS Twenty-two participants were randomised to the ketamine group, and 19 to the control, with 82.5% (n = 33) completing the study. In the ketamine group, a decrease in depressive symptoms was evident at all time points, whereas in the control group a decrease was evident only 40 min post administration. The reduction in MADRS score on day 21 was 12.75 in the ketamine group versus 2.49 points with placebo (P < 0.001). Six participants in the ketamine group (27.3%) achieved remission compared with none of the controls (P < 0.05). The number needed to treat for remission was 3.7. Side-effects were mild and transient. CONCLUSIONS Repeated oral ketamine produced rapid and persistent amelioration of depressive symptoms in out-patients with TRD, and was well tolerated. These results suggest that add-on oral ketamine may hold significant promise in the care of patients suffering from TRD in the community.Declaration of interestNone.


European Psychiatry | 2014

Working memory dysfunction in schizophrenia patients with obsessive-compulsive symptoms: An fMRI study

Maya Bleich-Cohen; Talma Hendler; Ronit Weizman; S. Faragian; A. Weizman; Michael Poyurovsky


Schizophrenia Research | 2014

Machine learning fMRI classifier delineates subgroups of schizophrenia patients.

Maya Bleich-Cohen; Shahar Jamshy; Haggai Sharon; Ronit Weizman; Nathan Intrator; Michael Poyurovsky; Talma Hendler

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Talma Hendler

Tel Aviv Sourasky Medical Center

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Michael Poyurovsky

Technion – Israel Institute of Technology

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Galit Yogev-Seligmann

Tel Aviv Sourasky Medical Center

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Gal Raz

Tel Aviv Sourasky Medical Center

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Ilana Kremer

Rappaport Faculty of Medicine

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