{"id":227,"date":"2020-11-17T20:02:50","date_gmt":"2020-11-17T20:02:50","guid":{"rendered":"https:\/\/labs.icahn.mssm.edu\/frangoulab\/?page_id=227"},"modified":"2020-12-15T14:04:49","modified_gmt":"2020-12-15T14:04:49","slug":"frangou-laboratory","status":"publish","type":"page","link":"https:\/\/labs.icahn.mssm.edu\/frangoulab\/","title":{"rendered":"Frangou Laboratory"},"content":{"rendered":"

[et_pb_section bb_built=”1″ fullwidth=”on” specialty=”off” next_background_color=”#000000″ _builder_version=”3.19.10″ disabled=”on” disabled_on=”on|on|on”][et_pb_fullwidth_menu _builder_version=”3.19.10″ menu_id=”5″ submenu_direction=”downwards” fullwidth_menu=”off” \/][\/et_pb_section][et_pb_section bb_built=”1″ fullwidth=”on” specialty=”off” next_background_color=”#ffffff” _builder_version=”3.19.10″ prev_background_color=”#ffffff” background_color=”#000000″][et_pb_fullwidth_slider _builder_version=”3.19.10″ show_pagination=”off” animation_style=”slide” animation_direction=”right” auto=”on”][et_pb_slide _builder_version=”3.19.10″ button_link=”#” url_new_window=”off” link_option_url_new_window=”off” background_color=”#2ea3f2″ use_background_color_gradient=”on” background_color_gradient_start=”#2b87da” background_color_gradient_end=”#29c4a9″ background_color_gradient_type=”linear” background_color_gradient_direction=”180deg” background_color_gradient_direction_radial=”center” 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background_position=”center” background_repeat=”no-repeat” background_blend=”normal” allow_player_pause=”off” background_video_pause_outside_viewport=”on” use_bg_overlay=”on” use_text_overlay=”off” text_border_radius=”3″ alignment=”center” child_filter_hue_rotate=”0deg” child_filter_saturate=”100%” child_filter_brightness=”100%” child_filter_contrast=”100%” child_filter_invert=”0%” child_filter_sepia=”0%” child_filter_opacity=”100%” child_filter_blur=”0px” child_mix_blend_mode=”normal” background_layout=”dark” text_shadow_style=”none” header_text_shadow_style=”none” body_text_shadow_style=”none” custom_button=”off” button_bg_use_color_gradient=”off” button_bg_color_gradient_overlays_image=”off” button_use_icon=”on” button_on_hover=”on” button_text_shadow_style=”none” box_shadow_style_button=”none” hover_transition_duration=”300ms” hover_transition_delay=”0ms” hover_transition_speed_curve=”ease” heading=”Clinical Neuroimaging Studies (CNS)” text_shadow_horizontal_length=”0em” text_shadow_vertical_length=”0em” text_shadow_blur_strength=”0em” header_text_shadow_horizontal_length=”0em” header_text_shadow_vertical_length=”0em” header_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em” button_text_shadow_horizontal_length=”0em” button_text_shadow_vertical_length=”0em” button_text_shadow_blur_strength=”0em” bg_overlay_color=”rgba(0,0,0,0.33)” \/][\/et_pb_fullwidth_slider][\/et_pb_section][et_pb_section bb_built=”1″ prev_background_color=”#000000″ next_background_color=”#000000″ _builder_version=”3.19.10″ module_id=”research” module_class=”research-section”][et_pb_row][et_pb_column type=”3_4″][et_pb_text admin_label=”research” _builder_version=”3.19.10″]<\/p>\n

Our Research<\/h2>\n

 <\/p>\n

The Frangou Lab studies brain pathways and mechanisms associated with psychopathology across the lifespan and their association with the environmental and genetic context.\u00a0 The lab has a dual focus on risk and resilience aiming to identify factors that respectively increase or decrease the risk of significant psychopathology and explore their potential for prevention and therapeutic intervention.<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″][et_pb_image _builder_version=”3.19.10″ border_radii=”on|5px|5px|5px|5px” src=”https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-content\/uploads\/sites\/46\/2020\/11\/Frangou.jpg” \/][et_pb_text _builder_version=”3.19.10″]<\/p>\n

Frangou Lab<\/strong>
Sophia Frangou<\/strong><\/a>
Professor Psychiatry<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section bb_built=”1″ fullwidth=”off” specialty=”off” prev_background_color=”#000000″ next_background_color=”#000000″][et_pb_row][\/et_pb_row][\/et_pb_section][et_pb_section bb_built=”1″ prev_background_color=”#000000″ _builder_version=”3.19.10″ background_color=”#ffffff” next_background_color=”#eaf2f7″ module_id=”team” module_class=”team-section”][et_pb_row admin_label=”team” _builder_version=”3.19.10″ custom_margin=”||-50px|”][et_pb_column type=”4_4″][et_pb_divider _builder_version=”3.19.10″ divider_position=”center” \/][et_pb_text admin_label=”team” _builder_version=”3.19.10″]<\/p>\n

Team Members<\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.19.10″][et_pb_column type=”1_3″][et_pb_image _builder_version=”3.19.10″ border_radii=”on|5px|5px|5px|5px” src=”https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-content\/uploads\/sites\/46\/2020\/11\/Frangou.jpg” \/][et_pb_text admin_label=”Sophia Frangou” _builder_version=”3.19.10″ text_text_color=”#000000″]<\/p>\n

Principal: Sophia Frangou<\/strong><\/h4>\n

E-mail: Sophia.Frangou@mssm.edu<\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″][et_pb_image _builder_version=”3.19.10″ border_radii=”on|5px|5px|5px|5px” src=”https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-content\/uploads\/sites\/46\/2020\/11\/Mathilde.jpg” \/][et_pb_text admin_label=”Mathilde Antoniades” _builder_version=”3.19.10″ text_text_color=”#000000″]<\/p>\n

Mathilde Antoniades,
Post-Doctoral Fellow<\/h4>\n

E-mail: Mathilde.Antoniades@mssm.edu <\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″][et_pb_image _builder_version=”3.19.10″ border_radii=”on|5px|5px|5px|5px” src=”https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-content\/uploads\/sites\/46\/2020\/11\/hass.jpg” \/][et_pb_text admin_label=”Shalaila Haas” _builder_version=”3.19.10″ text_text_color=”#000000″]<\/p>\n

Shalaila Haas,
Post-Doctoral Fellow<\/h4>\n

E-mail: Shalaila.Haas@mssm.edu<\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row][et_pb_column type=”1_3″][et_pb_image _builder_version=”3.19.10″ border_radii=”on|5px|5px|5px|5px” src=”https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-content\/uploads\/sites\/46\/2020\/11\/Modabbernia.jpg” \/][et_pb_text admin_label=”Amirhossein Modabbernia” _builder_version=”3.19.10″ text_text_color=”#000000″]<\/p>\n

Amirhossein Modabbernia,
Leon Levy Fellow in Neuroscience<\/h4>\n

E-mail: Amirhossein.Modabbernia@mssm.edu<\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″][et_pb_image _builder_version=”3.19.10″ border_radii=”on|5px|5px|5px|5px” src=”https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-content\/uploads\/sites\/46\/2020\/11\/moukaleb.jpg” \/][et_pb_text admin_label=”Shirine Moukaled” _builder_version=”3.19.10″ text_text_color=”#000000″]<\/p>\n

Shirine Moukaled,
Research Coordinator<\/h4>\n

E-mail: Shirine. Moukaled@mssm.edu<\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″][et_pb_image _builder_version=”3.19.10″ border_radii=”on|5px|5px|5px|5px” src=”https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-content\/uploads\/sites\/46\/2020\/11\/new.jpg” \/][et_pb_text admin_label=”Faye New” _builder_version=”3.19.10″ text_text_color=”#000000″]<\/p>\n

Faye New,
Research Coordinator<\/h4>\n

E-mail: Faye.New@mssm.edu<\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.19.10″ disabled=”off” disabled_on=”off|off|off”][et_pb_column type=”1_3″][\/et_pb_column][et_pb_column type=”1_3″][et_pb_image _builder_version=”3.19.10″ border_radii=”on|5px|5px|5px|5px” src=”https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-content\/uploads\/sites\/46\/2020\/12\/sam-website-2.jpg” \/][et_pb_text admin_label=”Samantha Pescatore” _builder_version=”3.19.10″ text_text_color=”#000000″]<\/p>\n

Samantha Pescatore,
Clinical Research Coordinator\u00a0<\/h4>\n

E-mail: Samantha.Pescatore@mssm.edu<\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section bb_built=”1″ prev_background_color=”#ffffff” next_background_color=”#f7f7f7″ _builder_version=”3.19.10″ background_color=”#eaf2f7″ module_id=”projects” module_class=”projects-section” disabled=”off” disabled_on=”off|off|off”][et_pb_row _builder_version=”3.19.10″][et_pb_column type=”4_4″][et_pb_text admin_label=”Current Projects” _builder_version=”3.19.10″ module_id=”projects” module_class=”projects-section”]<\/p>\n

Current Projects<\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.19.10″ custom_margin=”-3em|||”][et_pb_column type=”4_4″][et_pb_text _builder_version=”3.19.10″]<\/p>\n

Brain Correlates of Psychopathology Across the Lifespan<\/strong><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.19.10″ custom_margin=”-3em|||”][et_pb_column type=”2_5″][et_pb_image _builder_version=”3.19.10″ src=”https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-content\/uploads\/sites\/46\/2020\/11\/Project-1.1a.jpg” border_radii=”on|6px|6px|6px|6px” \/][\/et_pb_column][et_pb_column type=”3_5″][et_pb_text admin_label=”1a” _builder_version=”3.19.10″]<\/p>\n

ENIGMA Lifespan<\/strong><\/h4>\n

The Lab is the hub of the Lifespan Working Group of Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium. The Lifespan Working Group uses data from over 20,000 individuals from 80 centres worldwide to infer normative age-related changes in brain organization and examine the functional significance of deviations for typical trajectories.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.19.10″ custom_margin=”-2em|||”][et_pb_column type=”2_5″][et_pb_image _builder_version=”3.19.10″ src=”https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-content\/uploads\/sites\/46\/2020\/11\/Project-1.1b.jpg” border_radii=”on|6px|6px|6px|6px” \/][\/et_pb_column][et_pb_column type=”3_5″][et_pb_text admin_label=”1b” _builder_version=”3.19.10″]<\/p>\n

Modeling Brain-Environment-Behavior Associations<\/strong><\/h4>\n

The Lab uses advanced modeling approaches including machine learning algorithms to measure the interactive and multidimensional associations between positive and negative environmental influences, brain organization and behavior (including psychopathology) across the lifespan using data from clinical samples and epidemiological cohorts.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.19.10″ custom_margin=”-3em|||”][et_pb_column type=”4_4″][et_pb_divider _builder_version=”3.19.10″ divider_position=”center” color=”#ffffff” \/][et_pb_text _builder_version=”3.19.10″]<\/p>\n

Ultra-High Field Neuroimaging in Psychosis<\/strong><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.19.10″ custom_margin=”-3em|||”][et_pb_column type=”2_5″][et_pb_image _builder_version=”3.19.10″ src=”https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-content\/uploads\/sites\/46\/2020\/11\/Project-2a.jpg” border_radii=”on|6px|6px|6px|6px” \/][\/et_pb_column][et_pb_column type=”3_5″][et_pb_text admin_label=”2a” _builder_version=”3.19.10″]<\/p>\n

Intra-cortical Myelin, Dysconnectivity and Psychosis<\/strong><\/h4>\n

Abnormal myelination has been proposed as a pathogenetic mechanism for schizophrenia. Using ultra-high field imaging at 7 Tesla we compared the intra-cortical organization of myelin in patients with schizophrenia and healthy individuals. Such abnormalities were most pronounced in sensory brain areas. There regions mature very early in development, and suggest that sensory processing is likely to be affected in schizophrenia years before symptoms begin.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.19.10″ custom_margin=”-3em|||”][et_pb_column type=”2_5″][et_pb_image _builder_version=”3.19.10″ src=”https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-content\/uploads\/sites\/46\/2020\/11\/Project-2b.jpg” border_radii=”on|6px|6px|6px|6px” \/][\/et_pb_column][et_pb_column type=”3_5″][et_pb_text admin_label=”2b” _builder_version=”3.19.10″]<\/p>\n

Abnormal Tonotopy in Hallucinations<\/strong><\/h4>\n

Auditory hallucinations are a common and distressing symptom of schizophrenia. We used ultra-high field imaging at 7 Tesla to investigate the tonotopic organization of the auditory cortex in patients with schizophrenia with a history of recurrent hallucinations. Tonotopy is a fundamental feature of the functional organization of the auditory cortex that is established very early in development. Patients showed altered tonotopic organization of the auditory cortex during a purely perceptual task, indicating the presence of developmental abnormalities in the functional organization of the auditory cortex.\u00a0<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.19.10″ custom_margin=”-3em|||”][et_pb_column type=”4_4″][et_pb_divider _builder_version=”3.19.10″ divider_position=”center” color=”#ffffff” \/][et_pb_text _builder_version=”3.19.10″]<\/p>\n

Functional Brain Atlases<\/strong><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.19.10″ custom_margin=”-3em|||”][et_pb_column type=”2_5″][et_pb_image _builder_version=”3.19.10″ src=”https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-content\/uploads\/sites\/46\/2020\/11\/Project-3a.jpg” border_radii=”on|6px|6px|6px|6px” \/][\/et_pb_column][et_pb_column type=”3_5″][et_pb_text admin_label=”3a” _builder_version=”3.19.10″]<\/p>\n

CAREN<\/strong><\/h4>\n

The human brain is intrinsically organized into resting-state networks. However the spatial constituents of these networks vary significantly between studies. In order to facilitate reproducibility in future studies, we constructed a the Consensual Atlas of Resting-State Networks (CAREN) which is was published in Human Brain Mapping <\/em>and is freely available<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.19.10″ custom_margin=”-3em|||”][et_pb_column type=”2_5″][et_pb_image _builder_version=”3.19.10″ src=”https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-content\/uploads\/sites\/46\/2020\/11\/Project-3b.jpg” border_radii=”on|6px|6px|6px|6px” \/][\/et_pb_column][et_pb_column type=”3_5″][et_pb_text admin_label=”3b” _builder_version=”3.19.10″]<\/p>\n

Atlas 55+<\/h4>\n

The functional brain atlases currently available are derived using data from adults typically aged 18-40 years. As brain networks are influenced by age, the atlases derived from older populations are critically lacking. To address this unmet need, we constructed a reliable brain atlas using only resting-state functional MRI data from three cohorts of healthy older adults (total N=563; age=55-95years). The atlas called Atlas55+ provides spatial templates for the major resting-state-networks and the subdivisions and is freely available<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section bb_built=”1″ prev_background_color=”#eaf2f7″ next_background_color=”#000000″ _builder_version=”3.19.10″ background_color=”#f7f7f7″ module_id=”publications” module_class=”publications-section”][et_pb_row _builder_version=”3.19.10″][et_pb_column type=”4_4″][et_pb_text admin_label=”publications” _builder_version=”3.19.10″]<\/p>\n

Selected Recent Publications<\/h2>\n

 <\/p>\n

Modabbernia A, Janiri, D, Doucet GE, Reichenberg A, Frangou S. Multivariate patterns of brain-behavior-environment associations in the Adolescent Brain and Cognitive Development (ABCD) Study. Biol Psychiatry 2020; https:\/\/doi.org\/10.1016\/j.biopsych.2020.08.014<\/p>\n

Frangou S, Modabbernia A, ENIGMA Lifespan Working Group, Dima D. Cortical Thickness\u00a0 Trajectories across the Lifespan: Data from 17,075 healthy individuals aged 3-90 years. Hum Brain Mapp 2020; https:\/\/www.biorxiv.org\/content\/10.1101\/2020.05.05.077834v1<\/p>\n

Dima D, ENIGMA Lifespan Working Group, Frangou S. Subcortical Volume Trajectories\u00a0 across the Lifespan: Data from 18,605 healthy individuals aged 3-90 years. Hum Brain Mapp 2020; https:\/\/www.biorxiv.org\/content\/10.1101\/2020.05.05.079475v1<\/p>\n

Modabbernia A, Reichenberg A, Ing A, Moser DA, Doucet GE, Artiges E, Banaschewski T, Barker GJ, Becker A, Bokde ALW, Burke Quinlan E, Desrivi\u00e8res S, Herta F, Fr\u00f6hner JH, Garavan H, Gowland P, Grigis A, Grimmer Y, Heinz A, Insensee C, Ittermann B, Martinot JL, Paill\u00e8re Martinot ML, Millenet S, Nees F, Papadopoulos Orfanos D, Paus T, Penttil\u00e4 J, Poustka L, Smolka MN, Stringaris A, van Noort BM, Walter H, Whelan R, Schumann G, Frangou S, IMAGEN Consortium. Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study. Mol Psychiatry 2020; https:\/\/doi.org\/10.1038\/s41380-020-0757-x; PMID: 32444868<\/p>\n

Janiri D, Doucet GE, Pompili M, Sani G, Luna B, Brent DA, Frangou S. Risk and protective factors for childhood suicidal ideation in a US population-based sample. Lancet Psychiatry. 2020;7(4):317-326. doi: 10.1016\/S2215-0366(20)30049-3. PMID: 32171431<\/p>\n

Janiri D, Moser DA, Doucet GE, Luber MJ, Rasgon A, Lee WH, Murrough JW, Sani G, Eickhoff SB, Frangou S.\u00a0 Shared neural phenotypes for mood and anxiety disorders:\u00a0 A meta-analysis of 226 task-related functional imaging studies. JAMA Psychiatry. 2020;77(2):172-179. doi: 10.1001\/jamapsychiatry.2019.3351.\u00a0 PMID: 31664439<\/p>\n

Lee WH, Rrodrigue A, Glahn DC, Bassett DS, Frangou S. Heritability and Cognitive Relevance of Structural Brain Controllability. Cereb Cortex. 2019; 30(5):3044-3054. doi: 10.1093\/cercor\/bhz293. PMID: 31322303\u00a0\u00a0<\/p>\n

Doucet GE, Moser DA, Rodrigue A,\u00a0 Bassett DS,\u00a0 Glahn DC, Frangou S. Person-based brain morphometric similarity is heritable and correlates with biological features. Cereb. Cortex 2019; 29(2):852-862. doi: 10.1093\/cercor\/bhy287. PMID: 30462205\u00a0\u00a0<\/p>\n

Doucet GE, Luber MJ, Balchandani P, Sommer IE, Frangou S. Abnormal Auditory Tonotopy\u00a0 in Patients with Schizophrenia. NJP Schizophrenia 2019; 5(1):16. doi: 10.1038\/s41537-019-0084-x. PMID 31578332<\/p>\n

Frangou S. Neuroimaging Markers of Risk, Disease Expression, and Resilience to Bipolar Disorder. Curr Psychiatry Rep. 2019;21(7):52. doi: 10.1007\/s11920-019-1039-7. PMID: 31161278<\/p>\n

Doucet GE, Lee WH, Frangou S. Evaluation of the spatial variability in the major resting-state networks across human brain functional atlases. Hum Brain Mapp. 2019;40(15):4577-4587. doi: 10.1002\/hbm.24722. PMID: 31322303<\/p>\n

Sprooten E, O’Halloran R, Dinse J, Lee WH, Moser DA, Doucet G, Goodman M, Krinsky H, Paulino A, Rasgon A, Leibu E, Balchandani P, Inglese M, Frangou S. Depth-dependent intracortical myelin organization in the living human brain determined by in vivo ultra-high field magnetic resonance imaging. Neuroimage. 2019;185:27-34. doi: 10.1016\/j.neuroimage.2018.10.023. PMID: 30312809<\/p>\n

Moser DA, Doucet GE, Lee WH, Rasgon A, Krinsky H, Leibu E, Ing A, Schumann G, Rasgon N, Frangou S. Multivariate associations between behavioral, clinical and multimodal imaging phenotypes in psychosis. JAMA Psychiatry 2018; 75(4):1-10. doi: 10.1001\/jamapsychiatry.2017.4741. PMID: 29516092<\/p>\n

Moser DA,\u00a0 Doucet GE, Ing A, Dima D, Schumann G, Bilder RM, Frangou S. An integrated brain\u2013behavior model for working memory. Mol Psychiatry 2018;23(10):1974-1980. doi: 10.1038\/mp.2017.247. PMID: 29203849<\/p>\n

Doucet G. Bassett DS, Yao N, Glahn DC, Frangou S. The role of intrinsic brain functional connectivity for vulnerability and resilience to bipolar disorder. Am J Psychiatry 2017; 174(12):1214-1222. doi: 10.1176\/appi.ajp.2017.17010095. PMID: 28817956<\/p>\n

 <\/p>\n

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The Frangou Lab studies brain pathways and mechanisms associated with psychopathology across the lifespan and their association with the environmental and genetic context.<\/strong><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″][\/et_pb_column][et_pb_column type=”1_4″][\/et_pb_column][et_pb_column type=”1_4″][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div> Our Research   The Frangou Lab studies brain pathways and mechanisms associated with psychopathology across the lifespan and their association with the environmental and genetic context.\u00a0 The lab has a dual focus on risk and resilience aiming to identify factors that respectively increase or decrease the risk of significant psychopathology and explore their potential […]<\/p>\n","protected":false},"author":274,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-227","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-json\/wp\/v2\/pages\/227","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-json\/wp\/v2\/users\/274"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-json\/wp\/v2\/comments?post=227"}],"version-history":[{"count":31,"href":"https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-json\/wp\/v2\/pages\/227\/revisions"}],"predecessor-version":[{"id":285,"href":"https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-json\/wp\/v2\/pages\/227\/revisions\/285"}],"wp:attachment":[{"href":"https:\/\/labs.icahn.mssm.edu\/frangoulab\/wp-json\/wp\/v2\/media?parent=227"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}