Shalaila S. Haas
A5058868920- Functional Brain Connectivity Studies
- Schizophrenia research and treatment
- Mental Health Research Topics
- Advanced Neuroimaging Techniques and Applications
- Health, Environment, Cognitive Aging
- Neuroscience and Music Perception
- Neural dynamics and brain function
- Dementia and Cognitive Impairment Research
- Mental Health and Psychiatry
- Psychosomatic Disorders and Their Treatments
- Diet and metabolism studies
- Tryptophan and brain disorders
- Advanced MRI Techniques and Applications
- Obsessive-Compulsive Spectrum Disorders
- Bipolar Disorder and Treatment
- Neural and Behavioral Psychology Studies
- Dietary Effects on Health
- Cannabis and Cannabinoid Research
- EEG and Brain-Computer Interfaces
- Child and Adolescent Psychosocial and Emotional Development
- Neurobiology of Language and Bilingualism
- Aging and Gerontology Research
- Technology and Human Factors in Education and Health
- Mental Health and Patient Involvement
- Birth, Development, and Health
Icahn School of Medicine at Mount Sinai
2019-2025
Mount Sinai Hospital
2024
Ludwig-Maximilians-Universität München
2018-2022
Gold Skin Care Center
2019-2020
LMU Klinikum
2020
Max Planck Institute of Psychiatry
2020
University Psychiatric Hospital
2018
Diverse models have been developed to predict psychosis in patients with clinical high-risk (CHR) states. Whether prediction can be improved by efficiently combining and biological broadening the risk spectrum young depressive syndromes remains unclear.To evaluate whether transition predicted CHR or recent-onset depression (ROD) using multimodal machine learning that optimally integrates neurocognitive data, structural magnetic resonance imaging (sMRI), polygenic scores (PRS) for...
Abstract The brain‐age‐gap estimate (brainAGE) quantifies the difference between chronological age and predicted by applying machine‐learning models to neuroimaging data is considered a biomarker of brain health. Understanding sex differences in brainAGE significant step toward precision medicine. Global local (G‐brainAGE L‐brainAGE, respectively) were computed machine learning algorithms structural magnetic resonance imaging from 1113 healthy young adults (54.45% females; range: 22–37...
We present an empirically benchmarked framework for sex-specific normative modeling of brain morphometry that can inform about the biological and behavioral significance deviations from typical age-related neuroanatomical changes support future study designs. This was developed using regional morphometric data 37,407 healthy individuals (53% female; aged 3-90 years) following a comparative evaluation eight algorithms multiple covariate combinations pertaining to image acquisition quality,...
Abstract Machine learning approaches using structural magnetic resonance imaging (sMRI) can be informative for disease classification, although their ability to predict psychosis is largely unknown. We created a model with individuals at CHR who developed later (CHR-PS+) from healthy controls (HCs) that differentiate each other. also evaluated whether we could distinguish CHR-PS+ those did not develop (CHR-PS-) and uncertain follow-up status (CHR-UNK). T1-weighted brain MRI scans 1165...
<h3>Importance</h3> The behavioral and cognitive symptoms of severe psychotic disorders overlap with those seen in dementia. However, shared brain alterations remain disputed, their relevance for patients at-risk disease stages has not been explored so far. <h3>Objective</h3> To use machine learning to compare the expression structural magnetic resonance imaging (MRI) patterns behavioral-variant frontotemporal dementia (bvFTD), Alzheimer (AD), schizophrenia; estimate predictability bvFTD...
Individuals at Clinical High Risk for Psychosis (CHR-P) demonstrate heterogeneity in clinical profiles and outcome features. However, the extent of neuroanatomical CHR-P state is largely undetermined. We aimed to quantify structural magnetic resonance imaging measures cortical surface area (SA), thickness (CT), subcortical volume (SV), intracranial (ICV) individuals compared with healthy controls (HC), relation subsequent transition a first episode psychosis. The ENIGMA consortium applied...
Abstract Structural neuroimaging data have been used to compute an estimate of the biological age brain (brain‐age) which has associated with other biologically and behaviorally meaningful measures development aging. The ongoing research interest in brain‐age highlighted need for robust publicly available models pre‐trained on from large samples healthy individuals. To address this we previously released a developmental model. Here expand work develop, empirically validate, disseminate model...
Background: This study tested whether lifestyle and fitness features that influence brain health in the general population differentially affect adults with a history of depression. Brain was assessed using brain-age-gap-estimate (brainAGE), personalized index brain's biological age. Methods: Medically healthy (44-82 years) from UK Biobank depression (n=896) or no psychiatric (n=36,206) were included. Heterogeneity Through Discriminative Analysis used to cluster group based on 224 features....
<title>Abstract</title> Biological risk signatures could aid the early detection of schizophrenia, but their precision likely depends on clinical definitions they are derived from. Using machine learning, we analyzed structural MRI data from 1,425 patients and 907 healthy individuals in a multi-site multi-diagnostic database to detect validate different syndromes―Cognitive Disturbances (COGDIS), Ultra-High-Risk (UHR) or COGDIS + UHR―compared schizophrenia. Patients with not UHR-related...
Abstract Background Early psychosis in first-episode (FEP) and clinical high-risk (CHR) individuals has been associated with alterations mean regional measures of brain morphology. Examination variability morphology could assist quantifying the degree structural heterogeneity relative to healthy control (HC) samples. Methods Structural magnetic resonance imaging data were obtained from CHR (n = 71), FEP 72), HC 55). Regional cortical thickness (CT), surface area (SA), subcortical volume (SV)...
Abstract In schizophrenia, neurocognitive subtypes can be distinguished based on cognitive performance and they are associated with neuroanatomical alterations. We investigated the existence of in shortly medicated recent onset psychosis patients, their underlying gray matter volume patterns clinical characteristics. used a K-means algorithm to cluster 108 patients from multi-site EU PRONIA (Prognostic tools for early management) study validated solution independently ( N = 53). Cognitive...
Approaches are needed to stratify individuals in early psychosis stages beyond positive symptom severity investigate specificity related affective and normative variation validate solutions with premorbid, longitudinal, genetic risk measures.
BackgroundChronic low-grade inflammation is observed across mental disorders and associated with difficult-to-treat-symptoms of anhedonia functional brain changes – reflecting a potential transdiagnostic dimension. Previous investigations have focused on distinct illness categories in those enduring illness, few exploring inflammatory changes. We sought to identify an signal function underlying among young people recent onset psychosis (ROP) depression (ROD).MethodResting-state magnetic...
Abnormalities in the semantic and syntactic organization of speech have been reported individuals at clinical high-risk (CHR) for psychosis. The current study seeks to examine whether such abnormalities are associated with changes brain structure functional connectivity CHR individuals.Automated natural language processing analysis was applied samples obtained from 46 22 healthy individuals. Brain structural resting-state imaging data were also acquired all participants. Sparse canonical...
Abstract Cannabis use during adolescence is associated with an increased risk of developing psychosis. According to a current hypothesis, this results from detrimental effects early cannabis on brain maturation vulnerable period. However, studies investigating the interaction between and structural alterations hitherto reported inconclusive findings. We investigated age initiation psychosis using data multicentric Personalized Prognostic Tools for Early Psychosis Management (PRONIA) Induced...