A5084527051- Functional Brain Connectivity Studies
- Mental Health Research Topics
- Neural and Behavioral Psychology Studies
- Advanced MRI Techniques and Applications
- Domain Adaptation and Few-Shot Learning
- Health, Environment, Cognitive Aging
- Child and Adolescent Psychosocial and Emotional Development
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- Traumatic Brain Injury Research
- Memory and Neural Mechanisms
- Advanced Neural Network Applications
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Identity, Memory, and Therapy
- Medical Imaging Techniques and Applications
- Medical Image Segmentation Techniques
- Suicide and Self-Harm Studies
- COVID-19 and Mental Health
- Biomedical and Engineering Education
- Neurological disorders and treatments
- COVID-19 diagnosis using AI
- Memory Processes and Influences
- Transcranial Magnetic Stimulation Studies
- Advanced Biosensing Techniques and Applications
National Institute of Mental Health
2012-2024
National Institutes of Health
2012-2024
National Institute of Mental Health
2024
Florida International University
2023
Institut des Sciences Cognitives Marc Jeannerod
2021
Boys Town National Research Hospital
2021
Icahn School of Medicine at Mount Sinai
2021
The Ohio State University
2012-2018
The Ohio State University Wexner Medical Center
2014-2018
University of Geneva
2016
Significance The rodent hippocampus contains neurons that code for space on the scale of meters, a discovery was recently awarded Nobel Prize. However, it remains unclear whether humans harness similar representations memory at their lives. Our results reveal human represents spatial and temporal location memories real-life events scales up to 30 km month time. They further suggest real-world time are more intimately entwined in than previously thought, validating relevance decades studies...
The COVID-19 pandemic and its social economic consequences have had adverse impacts on physical mental health worldwide exposed all segments of the population to protracted uncertainty daily disruptions. CoRonavIruS Impact Survey (CRISIS) was developed for use as an easy implement robust questionnaire covering key domains relevant distress resilience during pandemic. Ongoing studies using CRISIS include international COVID-related ill conducted different phases follow-up cohorts...
The study objective was to evaluate the safety and efficacy of deep brain stimulation (DBS) at ventral capsule/ventral striatum (VC/VS) region specifically modulate frontal lobe behavioral cognitive networks as a novel treatment approach for Alzheimer's disease (AD) patients. This is non-randomized phase I prospective open label interventional trial three subjects with matched comparison groups. AD participants given DBS least 18 months VC/VS target were compared on Clinical Dementia...
The neuroimaging community is steering towards increasingly large sample sizes, which are highly heterogeneous because they can only be acquired by multi-site consortia. visual assessment of every imaging scan a necessary quality control step, yet arduous and time-consuming. A sizeable body evidence shows that images low source variability may comparable to the effect size under study. We present MRIQC Web-API, an open crowdsourced database collects image metrics extracted from MR...
The human posteromedial cortex, which includes core regions of the default mode network (DMN), is thought to play an important role in episodic memory. However, nature and functional representations these brain remain unspecified. Nine participants (all female) wore smartphone devices record episodes from their daily lives for multiple weeks, each night indicating personally-salient attributes episode. Participants then relived experiences fMRI scanner cued by images own lives....
Abstract The COVID-19 pandemic and its social economic consequences have had adverse impacts on physical mental health worldwide exposed all segments of the population to protracted uncertainty daily disruptions. CoRonavIruS Impact Survey (CRISIS) was developed for use as an easy implement robust questionnaire covering key domains relevant distress resilience during pandemic. In current work, we demonstrate feasibility, psychometric structure construct validity this survey. We then show that...
We present NiMARE (Neuroimaging Meta‑Analysis Research Environment; RRID:SCR_0173981), a Python library for neuroimaging meta‑analyses and metaanalysis‑related analyses. is an open source, collaboratively‑developed package that implements range of meta‑ analytic algorithms, including coordinate‑ image‑based meta‑analyses, automated annotation, functional decoding, meta‑analytic coactivation modeling. By consolidating methods under common syntax, makes it straightforward users to employ the...
In order to obtain the sample sizes needed for robustly reproducible effects, it is often necessary acquire data at multiple sites using different MRI scanners. This poses a challenge investigators account variance due scanner, as balanced sampling not an option. Similarly, longitudinal studies must deal with known and unknown changes scanner hardware software over time. this manuscript, we have explored scanner-related differences in dataset recently released by Adolescent Brain Cognitive...
Brain imaging researchers regularly work with large, heterogeneous, high-dimensional datasets.Historically, have dealt this complexity idiosyncratically, every lab or individual implementing their own preprocessing and analysis procedures.The resulting lack of field-wide standards has severely limited reproducibility data sharing reuse.
In this paper, we describe a Bayesian deep neural network (DNN) for predicting FreeSurfer segmentations of structural MRI volumes, in minutes rather than hours. The was trained and evaluated on large dataset (n = 11,480), obtained by combining data from more hundred different sites, also another completely held-out 418). using novel spike-and-slab dropout-based variational inference approach. We show that, these datasets, the proposed DNN outperforms previously methods, terms similarity...
Suicide deaths and suicidal thoughts behaviors are considered a public health emergency, yet their underpinnings in the brain remain elusive. The authors examined classification accuracy of individual, environmental, clinical characteristics, as well multimodal imaging correlates, U.S. population-based sample school-age children.Children ages 9-10 years (N=7,994) from Adolescent Brain Cognitive Development study were assessed for lifetime behaviors. After quality control procedures,...
Quality control (QC) assessment is a vital part of FMRI processing and analysis, typically underdiscussed aspect reproducibility. This includes checking datasets at their very earliest stages (acquisition conversion) through steps (e.g., alignment motion correction) to regression modeling (correct stimuli, no collinearity, valid fits, enough degrees freedom, etc.) for each subject. There are wide variety features verify throughout any single-subject pipeline, both quantitatively...
Abstract Background Depression is common, burdensome, and frequently first diagnosed in adolescents. The popular Adolescent Brain Cognitive Development dataset (ABCD) provides an attractive opportunity to research depression only continuous measure of depression, as defined by DSM‐5, ABCD the Child Behavior Checklist's DSM‐5‐Oriented Affective Problems scale (CBCL‐Aff). We validated CBCL‐Aff data confirmed our results on two independent datasets: Healthy Network (HBN) Brazilian High Risk...
Severe traumatic brain injury (TBI) damages the frontal lobes and connecting networks, which impairs executive functions, including ability to self-regulate. Despite significant disabling effects, there are few treatment options in chronic phase after injury.To investigate safety potential effectiveness of deep stimulation (DBS) for individuals with chronic, TBI problems behavioral emotional self-regulation.This study was an open-label, prospective design serial assessments outcomes positron...
Humans refer to their mood state regularly in day-to-day as well clinical interactions. Theoretical accounts suggest that when reporting on our we integrate over the history of experiences; yet, temporal structure this integration remains unexamined. Here, use a computational approach quantitatively answer question and show early events exert stronger influence reported (a primacy weighting) compared recent events. We Primacy model better for reports range alternative representations across...