Adrian Preda
A5038490078- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- Schizophrenia research and treatment
- Dementia and Cognitive Impairment Research
- Alzheimer's disease research and treatments
- Advanced MRI Techniques and Applications
- Mental Health Research Topics
- Mental Health and Psychiatry
- MRI in cancer diagnosis
- Treatment of Major Depression
- Genetic Associations and Epidemiology
- EEG and Brain-Computer Interfaces
- Bipolar Disorder and Treatment
- Neuroscience and Music Perception
- Child and Adolescent Psychosocial and Emotional Development
- Bioinformatics and Genomic Networks
- Prostate Cancer Treatment and Research
- Diet and metabolism studies
- Epigenetics and DNA Methylation
- Electroconvulsive Therapy Studies
- Neurological Disease Mechanisms and Treatments
- Urologic and reproductive health conditions
- Genetics and Neurodevelopmental Disorders
- Neural and Behavioral Psychology Studies
University of California, Irvine
2016-2025
Iuliu Hațieganu University of Medicine and Pharmacy
2022-2025
Institute of Oncology Prof. Dr. Ion Chiricuta
2022-2025
Chapman University
2025
Institutul Clinic Fundeni
2009-2024
UC Irvine Health
2023-2024
University of California, San Francisco
2001-2024
Metropolitana Milanese (Italy)
2024
San Francisco VA Medical Center
2024
University of California, Los Angeles
2024
The profile of brain structural abnormalities in schizophrenia is still not fully understood, despite decades research using scans. To validate a prospective meta-analysis approach to analyzing multicenter neuroimaging data, we analyzed MRI scans from 2028 patients and 2540 healthy controls, assessed with standardized methods at 15 centers worldwide. We identified subcortical volumes that differentiated ranked them according their effect sizes. Compared had smaller hippocampus (Cohen's...
Schizophrenia is a psychotic disorder characterized by functional dysconnectivity or abnormal integration between distant brain regions. Recent imaging studies have implicated large-scale thalamo-cortical connectivity as being disrupted in patients. However, observed differences schizophrenia been inconsistent studies, with reports of hyperconnectivity and hypoconnectivity the same Using resting state eyes-closed independent component analysis on multi-site data that included 151 patients...
Objective: This study assessed the efficacy of olanzapine in delaying or preventing conversion to psychosis and reducing symptoms people with prodromal schizophrenia.Method: randomized trial occurred at four North American clinics Prevention Through Risk Identification, Management, Education project.Outpatients received (5-15 mg/day, N=31) placebo (N=29) during a 1-year double-blind treatment period no follow-up period.Efficacy measures included conversion-to-psychosis rate Scale Prodromal...
The Functional Imaging Biomedical Informatics Network is a consortium developing methods for multisite functional imaging studies. Both prefrontal hyper- or hypoactivity in chronic schizophrenia have been found previous studies of working memory.In this magnetic resonance (fMRI) study memory, 128 subjects with and age- gender-matched controls were recruited from 10 universities around the United States. Subjects performed Sternberg Item Recognition Paradigm1,2 memory loads 1, 3, 5 items. A...
Resting-state functional brain imaging studies of network connectivity have long assumed that connections are stationary on the timescale a typical scan. Interest in moving beyond this simplifying assumption has emerged only recently. The great hope is training right lens time-varying properties whole-brain will shed additional light previously concealed activation patterns characteristic serious neurological or psychiatric disorders. We present evidence multiple explicitly dynamical...
A common limitation of neuroimaging studies is their small sample sizes. To overcome this hurdle, the Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Consortium combines data from many institutions worldwide. However, introduces heterogeneity due to different scanning devices and sequences. ENIGMA projects commonly address with random-effects meta-analysis or mixed-effects mega-analysis. Here we tested whether batch adjustment method, ComBat, can further reduce site-related...
Left–right asymmetry is an important organizing feature of the healthy brain that may be altered in schizophrenia, but most studies have used relatively small samples and heterogeneous approaches, resulting equivocal findings. We carried out largest case–control study structural asymmetries with MRI data from 5,080 affected individuals 6,015 controls across 46 datasets, using a single image analysis protocol. Asymmetry indexes were calculated for global regional cortical thickness, surface...
Abstract Schizophrenia is a prototypical network disorder with widespread brain-morphological alterations, yet it remains unclear whether these distributed alterations robustly reflect the underlying layout. We tested large-scale structural in schizophrenia relate to normative and functional connectome architecture, systematically evaluated robustness generalizability of network-level alterations. Leveraging anatomical MRI scans from 2439 adults 2867 healthy controls 26 ENIGMA sites data...
Abstract Cognitive impairment is a feature of many psychiatric diseases, including schizophrenia. Here we aim to identify multimodal biomarkers for quantifying and predicting cognitive performance in individuals with schizophrenia healthy controls. A supervised learning strategy used guide three-way magnetic resonance imaging (MRI) fusion two independent cohorts both using multiple domain scores. Results highlight the salience network (gray matter, GM), corpus callosum (fractional...
Abstract Background Schizophrenia (SZ) is a severe neuropsychiatric disorder associated with disrupted connectivity within the thalamic-cortico-cerebellar network. Resting-state functional studies have reported thalamic hypoconnectivity cerebellum and prefrontal cortex as well hyperconnectivity sensory cortical regions in SZ patients compared healthy comparison participants (HCs). However, fundamental questions remain regarding clinical significance of these abnormalities. Method Resting...
Schizophrenia is a complex, debilitating mental disorder characterized by wide-ranging symptoms including delusions, hallucinations (so-called positive symptoms), and impaired motor speech/language production negative symptoms). Salience-monitoring theorists propose that abnormal functional communication between the salience network (SN) default mode (DMN) begets of schizophrenia, yet prior studies have predominately reported links disrupted SN/DMN symptoms. It remains unclear whether...
Abstract The brain is highly dynamic, reorganizing its activity at different interacting spatial and temporal scales, including variation within between networks. chronnectome a model of the in which nodal connectivity patterns change fundamental recurring ways over time. Most literature assumes fixed nodes/networks, ignoring possibility that nodes/networks may vary Here, we introduce an approach to calculate spatially fluid (called for clarity), focuses on variations networks coupling voxel...
Schizophrenia affects around 1% of the global population. Functional connectivity extracted from resting-state functional magnetic resonance imaging (rs-fMRI) has previously been used to study schizophrenia and great potential provide novel insights into disorder. Some studies have shown abnormal in default mode network (DMN) individuals with schizophrenia, more recent dynamic (dFC) schizophrenia. However, DMN dFC link between symptom severity not well-characterized.
Abstract Despite the known benefits of data‐driven approaches, lack approaches for identifying functional neuroimaging patterns that capture both individual variations and inter‐subject correspondence limits clinical utility rsfMRI its application to single‐subject analyses. Here, using data from over 100k individuals across private public datasets, we identify replicable multi‐spatial‐scale canonical intrinsic connectivity network (ICN) templates via use multi‐model‐order independent...
Article AbstractBackground: The safety and tolerability of theselective serotonin reuptake inhibitors the newer atypicalagents have led to a significant increase in antidepressant use.These changes raise concern as likelihood acorresponding adverse behavioral reactionsattributable these drugs. Method: All admissions university-basedgeneral hospital psychiatric unit during 14-month period werereviewed. Results: Forty-three (8.1%) 533 patients werefound been admitted owing...