Lana Kambeitz‐Ilankovic
A5025533400- Functional Brain Connectivity Studies
- Schizophrenia research and treatment
- Mental Health Research Topics
- Advanced Neuroimaging Techniques and Applications
- Mental Health and Psychiatry
- Neuroscience and Music Perception
- Tryptophan and brain disorders
- Advanced MRI Techniques and Applications
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Health, Environment, Cognitive Aging
- Bipolar Disorder and Treatment
- Psychosomatic Disorders and Their Treatments
- Child and Adolescent Psychosocial and Emotional Development
- Machine Learning in Healthcare
- Genetic Associations and Epidemiology
- Treatment of Major Depression
- EEG and Brain-Computer Interfaces
- Child Abuse and Trauma
- Digital Mental Health Interventions
- Health Systems, Economic Evaluations, Quality of Life
- Optical Imaging and Spectroscopy Techniques
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Attention Deficit Hyperactivity Disorder
- Hallucinations in medical conditions
University Hospital Cologne
2019-2025
University of Cologne
2020-2025
Authorised Association Consortium
2024
Ludwig-Maximilians-Universität München
2015-2024
Klinik und Poliklinik für Psychiatrie und Psychotherapie
2024
University of Bari Aldo Moro
2022
Heinrich Heine University Düsseldorf
2021
Airlangga University
2021
University of Bern
2021
Gold Skin Care Center
2018-2019
Social and occupational impairments contribute to the burden of psychosis depression. There is a need for risk stratification tools inform personalized functional-disability preventive strategies individuals in at-risk early phases these illnesses.To determine whether predictors associated with social role functioning can be identified patients clinical high-risk (CHR) states or recent-onset depression (ROD) using clinical, imaging-based, combined machine learning; assess geographic,...
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 This article describes the rationale, aims, and methodology of Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). is largest international collaboration to date that will develop algorithms predict trajectories outcomes individuals at clinical high risk (CHR) for psychosis advance development use novel pharmacological interventions CHR individuals. We present a description participating research networks data processing analysis coordination center, their processes...
Clinical ascertainment and clinical outcome are key features of any large multisite study. In the ProNET PRESCIENT research networks, Accelerating Medicines Partnership® Schizophrenia (AMP®SCZ) Ascertainment Outcome Measures Team aimed to establish a harmonized assessment protocol across these two networks define criteria primary secondary endpoints. addition developing protocol, goals this aspect AMP SCZ project were: (1) implement monitor training, participants, assessments; (2) provide...
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...
To date, the MRI-based individualized prediction of psychosis has only been demonstrated in single-site studies. It remains unclear if MRI biomarkers generalize across different centers and MR scanners represent accurate surrogates risk for developing this devastating illness. Therefore, we assessed whether a system identified patients with later disease transition among 73 clinically defined high-risk persons recruited at two early recognition centers. Prognostic performance was measured...
Identifying distinctive subtypes of schizophrenia could ultimately enhance diagnostic and prognostic accuracy. We aimed to uncover neuroanatomical chronic patients test whether stratification can computer-aided discrimination from control subjects. Unsupervised, data-driven clustering structural MRI (sMRI) data was used identify 2 drawn a US-based open science repository (n = 71) we quantified classification improvements compared controls 74) using supervised machine learning. externally...
Previous studies have shown that structural brain changes are among the best-studied candidate markers for schizophrenia (SZ) along with functional connectivity (FC) alterations of resting-state (RS) patterns. This study aimed to investigate effects clinical and sociodemographic variables on classification by applying multivariate pattern analysis (MVPA) both gray matter (GM) volume FC measures in patients SZ healthy controls (HC). RS magnetic resonance imaging data (sMRI) from 74 HC 71 were...
Reserve in aging and Alzheimer's disease (AD) is defined as maintaining cognition at a relatively high level the presence of neurodegeneration, an ability often associated with higher education among other life factors.Recent evidence suggests that resting-state functional connectivity within frontoparietal control network, specifically left frontal cortex (LFC) hub, contributes to reserve.Following up these previous fMRI findings, we probed memory-task related LFC hub neural substrate...
Recent evidence derived from functional magnetic resonance imaging (fMRI) studies suggests that hubs (i.e., highly connected brain regions) are important for mental health. We found recently global connectivity of a hub in the left frontal cortex (LFC connectivity) is associated with relatively preserved memory abilities and higher levels protective factors (education, IQ) normal aging Alzheimer's disease. These results suggest LFC supports reserve capacity, alleviating decline. An open...
Identifying psychosis subgroups could improve clinical and research precision. Research has focused on symptom subgroups, but there is a need to consider broader spectrum, disentangle illness trajectories, investigate genetic associations.To detect using data-driven methods examine their courses over 1.5 years polygenic scores for schizophrenia, bipolar disorder, major depression educational achievement.This ongoing multisite, naturalistic, longitudinal (6-month intervals) cohort study began...
Neuroimaging studies of schizophrenia have indicated that the development auditory verbal hallucinations (AVHs) is associated with altered structural and functional connectivity within perisylvian language network. However, these focussed mainly on either or alterations in patients chronic schizophrenia. Therefore, they were unable to examine relationship between 2 types measures could not establish whether observed would be expressed early stage illness. We used diffusion tensor imaging...
White matter hyperintensities (WMHs) increase the risk of Alzheimer's disease (AD). Whether WMHs are associated with decline functional neural networks in AD is debated.Resting-state magnetic resonance imaging and WMH were assessed 78 subjects increased amyloid levels on AV-45 positron emission tomography (PET) different clinical stages AD. We tested association between volume major atlas-based fiber tract regions interest (ROIs) changes connectivity (FC) tracts' projection areas within...
Abstract Recent life events have been implicated in the onset and progression of psychosis. However, psychological processes that account for association are yet to be fully understood. Using a network approach, we aimed identify pathways linking recent symptoms observed Based on previous literature, hypothesized general would mediate between psychotic symptoms. We analyzed baseline data patients at clinical high risk psychosis with recent-onset ( n = 547) from Personalised Prognostic Tools...