Anastasia Haidar

ORCID: 0009-0009-8839-2232
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About
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Research Areas
  • Schizophrenia research and treatment
  • Functional Brain Connectivity Studies
  • Health Systems, Economic Evaluations, Quality of Life
  • Mental Health Research Topics
  • Cardiovascular Disease and Adiposity
  • Impact of Technology on Adolescents
  • Eating Disorders and Behaviors
  • Cell Image Analysis Techniques
  • Treatment of Major Depression
  • Psychosomatic Disorders and Their Treatments
  • Personality Disorders and Psychopathology
  • Advanced Neuroimaging Techniques and Applications
  • Research Data Management Practices
  • Genetic Neurodegenerative Diseases
  • Scientific Computing and Data Management
  • Neurological disorders and treatments
  • Pharmaceutical studies and practices
  • Mental Health and Psychiatry
  • Diabetes Management and Research
  • Advanced MRI Techniques and Applications
  • Obsessive-Compulsive Spectrum Disorders

Brigham and Women's Hospital
2023-2025

Harvard University
2023-2025

Massachusetts General Hospital
2024

Abstract Neuroimaging with MRI has been a frequent component of studies individuals at clinical high risk (CHR) for developing psychosis, goals understanding potential brain regions and systems impacted in the CHR state identifying prognostic or predictive biomarkers that can enhance our ability to forecast outcomes. To date, most involving are likely not sufficiently powered generate robust generalizable neuroimaging results. Here, we describe prospective, advanced, modern protocol was...

10.1038/s41537-025-00581-6 article EN cc-by Schizophrenia 2025-04-02

Abstract Aim To harmonize two ascertainment and severity rating instruments commonly used for the clinical high risk syndrome psychosis (CHR‐P): Structured Interview Psychosis‐risk Syndromes (SIPS) Comprehensive Assessment of At‐Risk Mental States (CAARMS). Methods The initial workshop is described in companion report from Addington et al. After workshop, lead experts each instrument continued harmonizing attenuated positive symptoms criteria CHR‐P through an intensive series joint...

10.1111/eip.13457 article EN cc-by Early Intervention in Psychiatry 2023-08-28

Abstract Modern research management, particularly for publicly funded studies, assumes a data governance model in which grantees are considered stewards rather than owners of important sets. Thus, there is an expectation that collected shared as widely possible with the general community. This presents problems complex studies involve sensitive health information. The latter requires balancing participant privacy needs Here, we report on operation ecosystem crafted Accelerating Medicines...

10.1038/s41537-025-00560-x article EN cc-by Schizophrenia 2025-04-03

The Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ) project assesses a large sample of individuals at clinical high-risk for developing psychosis (CHR) and community controls. Subjects are enrolled in 43 sites across 5 continents. assessments include domains similar to those acquired previous CHR studies along with novel that collected longitudinally period 2 years. In parallel the data acquisition, multidisciplinary teams experts have been working formulate analysis strategy...

10.1038/s41537-025-00561-w article EN cc-by-nc-nd Schizophrenia 2025-04-03

Abstract Objective Few studies have focused on brain structure in atypical anorexia nervosa (atypical AN). This study investigates differences gray matter volume (GMV) between females with (AN) and AN, healthy controls (HC). Method Structural magnetic resonance imaging data were acquired for 37 23 41 HC female participants. Freesurfer was used to extract GMV, cortical thickness, surface area six lobes associated regions of interest (ROI). Primary analyses employed linear mixed‐effects models...

10.1002/eat.24168 article EN International Journal of Eating Disorders 2024-02-17

To harmonize two ascertainment and severity rating instruments commonly used for the clinical high risk syndrome psychosis (CHR-P): Structured Interview Psychosis-risk Syndromes (SIPS) Comprehensive Assessment of At-Risk Mental States (CAARMS).

10.1101/2023.04.29.23289226 preprint EN cc-by-nd medRxiv (Cold Spring Harbor Laboratory) 2023-05-02

Although meta-analytic studies have shown that 25-33% of those at Clinical High Risk (CHR) for psychosis transition to a first episode within three years, less is known about estimating the risk an individual level. Digital phenotyping offers novel approach explore nature CHR and may help improve personalized prediction. Specifically, digital data enable detailed mapping experiences, moods behaviors during longer periods time (e.g., weeks, months) offer more insight into patterns over level...

10.1038/s41537-025-00599-w article EN cc-by-nc-nd Schizophrenia 2025-06-03

The time following a recent onset of psychosis is critical period during which intervention may be maximally effective. Studying individuals in this also offers an opportunity to investigate putative brain biomarkers illness prior the long-term effects chronicity and medication. Human Connectome Project for Early Psychosis (HCP-EP) was funded by National Institutes Mental Health (NIMH) as extension original Project's approach understanding human its structural functional connections.

10.1093/schbul/sbae123 article EN Schizophrenia Bulletin 2024-07-20
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