Kahini Mehta
A5063428817- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Health, Environment, Cognitive Aging
- Neural dynamics and brain function
- Mental Health Research Topics
- Scientific Computing and Data Management
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Personality Disorders and Psychopathology
- Diet and metabolism studies
- Medical Imaging Techniques and Applications
- Neonatal and fetal brain pathology
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Sleep and Wakefulness Research
- Child and Adolescent Psychosocial and Emotional Development
- Mindfulness and Compassion Interventions
- Substance Abuse Treatment and Outcomes
- Health disparities and outcomes
- Sleep and related disorders
- Spatial Neglect and Hemispheric Dysfunction
- Decision-Making and Behavioral Economics
- Digital Mental Health Interventions
- Stress Responses and Cortisol
- Psychological Well-being and Life Satisfaction
California University of Pennsylvania
2023-2025
Lifespan
2022-2024
University of Pennsylvania
2022-2024
Children's Hospital of Philadelphia
2022-2024
Philadelphia University
2024
Penn Center for AIDS Research
2023
Brown University
2021-2022
Abstract Human cortical maturation has been posited to be organized along the sensorimotor-association axis, a hierarchical axis of brain organization that spans from unimodal sensorimotor cortices transmodal association cortices. Here, we investigate hypothesis development functional connectivity during childhood through adolescence conforms hierarchy defined by axis. We tested this pre-registered in four large-scale, independent datasets (total n = 3355; ages 5–23 years): Philadelphia...
Abstract Functional neuroimaging is an essential tool for neuroscience research. Pre-processing pipelines produce standardized, minimally pre-processed data to support a range of potential analyses. However, post-processing not similarly standardized. While several options exist, they may output from different pre-processing pipelines, have limited documentation, and follow generally accepted organization standards (e.g., Brain Imaging Data Structure (BIDS)). In response, we present XCP-D:...
The HEALthy Brain and Child Development (HBCD) Study, a multi-site prospective longitudinal cohort study, will examine human brain, cognitive, behavioral, social, emotional development beginning prenatally planned through early childhood. acquisition of multimodal magnetic resonance-based brain data is central to the study's core protocol. However, application Magnetic Resonance Imaging (MRI) methods in this population complicated by technical challenges difficulties imaging life. Overcoming...
Functional neuroimaging is an essential tool for neuroscience research. Pre-processing pipelines produce standardized, minimally pre-processed data to support a range of potential analyses. However, post-processing not similarly standardized. While several options exist, they tend output from disparate pre-processing pipelines, may have limited documentation, and follow BIDS best practices. Here we present XCP-D, which presents solution these issues. XCP-D collaborative effort between...
Adolescent development of human brain structural and functional networks is increasingly recognized as fundamental to emergence typical atypical adult cognitive emotional processes. We analysed multimodal magnetic resonance imaging (MRI) data collected from N <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mo>∼</mml:mo> </mml:math> 300 healthy adolescents (51%; female; 14 26 y) each scanned repeatedly in an accelerated longitudinal design,...
The Brain Imaging Data Structure (BIDS) is a specification accompanied by software ecosystem that was designed to create reproducible and automated workflows for processing neuroimaging data. BIDS Apps flexibly build based on the metadata detected in dataset. However, even valid can include incorrect values or omissions result inconsistent across sessions. Additionally, large-scale, heterogeneous datasets, hidden variability difficult detect classify. To address these challenges, we created...
The brain undergoes profound structural and functional transformations from childhood to adolescence. Convergent evidence suggests that neurodevelopment proceeds in a hierarchical manner, characterized by heterogeneous maturation patterns across regions networks. However, the of intrinsic spatiotemporal propagations activity remains largely unexplored. This study aims bridge this gap delineating early adulthood. By leveraging recently developed approach captures time-lag dynamic...
Brain development during adolescence and early adulthood coincides with shifts in emotion regulation sleep. Despite this, few existing datasets simultaneously characterize affective dynamics, sleep variation, multimodal measures of brain development. Here, we describe the study protocol initial release (n = 10) an open data resource neuroimaging paired densely sampled behavioral nd adolescents young adults. All participants complete multi-echo functional MRI, compressed-sensing diffusion...
We created a set of resources to enable research based on openly-available diffusion MRI (dMRI) data from the Healthy Brain Network (HBN) study. First, we curated HBN dMRI (N = 2747) into Imaging Data Structure and preprocessed it according best-practices, including denoising correcting for motion effects, susceptibility-related distortions, eddy currents. Preprocessed, analysis-ready was made openly available. quality plays key role in analysis dMRI. To optimize QC scale this large dataset,...
Abstract Brain-wide association studies (BWAS) are a fundamental tool in discovering brain-behavior associations. Several recent showed that thousands of study participants required for good replicability BWAS because the standardized effect sizes (ESs) much smaller than reported ESs studies. Here, we perform analyses and meta-analyses robust size index using 63 longitudinal cross-sectional magnetic resonance imaging from Lifespan Brain Chart Consortium (77,695 total scans) to demonstrate...
Human cortical development follows a sensorimotor-to-association sequence during childhood and adolescence
Delay discounting is a measure of impulsive choice relevant in adolescence as it predicts many real-life outcomes, including obesity and academic achievement. However, resting-state functional networks underlying individual differences delay during youth remain incompletely described. Here we investigate the association between multivariate patterns connectivity large sample children, adolescents, adults. A total 293 participants (9-23 years) completed task underwent 3T fMRI. connectome-wide...
ABSTRACT Human cortical maturation has been posited to be organized along the sensorimotor-association (S-A) axis, a hierarchical axis of brain organization that spans from unimodal sensorimotor cortices transmodal association cortices. Here, we investigate hypothesis development functional connectivity during childhood through adolescence conforms hierarchy defined by S-A axis. We tested this pre-registered in four large-scale, independent datasets (total n = 3,355; ages 5-23 years):...
Irritability affects up to 20% of youth and is a primary reason for referral pediatric mental health clinics. thought be associated with disruptions in processing reward, threat, cognitive control; however, empirical study these associations at both the behavioral neural level have yielded equivocal findings that may driven by small sample sizes differences design. Associations between irritability brain connectivity control reward- or threat-processing circuits remain understudied....
ABSTRACT The Brain Imaging Data Structure (BIDS) is a specification accompanied by software ecosystem that was designed to create reproducible and automated workflows for processing neuroimaging data. BIDS Apps flexibly build based on the metadata detected in dataset. However, even valid can include incorrect values or omissions result inconsistent across sessions. Additionally, large-scale, heterogeneous datasets, hidden variability difficult detect classify. To address these challenges, we...
Diffusion MRI is the dominant non-invasive imaging method used to characterize white matter organization in health and disease. Increasingly, fiber-specific properties within a voxel are analyzed using fixels. While tools for conducting statistical analyses of fixel-wise data exist, currently available support only limited number models. Here we introduce ModelArray, an R package mass-univariate analysis data. At present, ModelArray supports linear models as well generalized additive (GAMs),...
Symptoms of borderline personality disorder (BPD) often manifest in adolescence, yet the underlying relationship between these debilitating symptoms and development functional brain networks is not well understood. Here we aimed to investigate how multivariate patterns connectivity are associated with BPD a large sample young adults adolescents.
Neuroimaging research faces a crisis of reproducibility. With massive sample sizes and greater data complexity, this problem becomes more acute. Software that operates on imaging defined using the Brain Imaging Data Structure (BIDS) - BIDS Apps have provided substantial advance. However, even Apps, full audit trail processing is necessary prerequisite for fully reproducible research. Obtaining faithful record challenging especially large datasets. Recently, FAIRly big framework was...
ABSTRACT Diffusion MRI is the dominant non-invasive imaging method used to characterize white matter organization in health and disease. Increasingly, fiber-specific properties within a voxel are analyzed using fixels. While tools for conducting statistical analyses of fixel data exist, currently available memory intensive, difficult scale large datasets, support only limited number models. Here we introduce ModelArray, memory-efficient R package mass-univariate analysis data. With several...
Abstract Adolescent development of human brain structural and functional networks is increasingly recognised as fundamental to emergence typical atypical adult cognitive emotional processes. We analysed multimodal magnetic resonance imaging (MRI) data collected from N ∼ 300 healthy adolescents (51%; female; 14-26 years) each scanned repeatedly in an accelerated longitudinal design, provide analyzable dataset 469 scans 448 MRI scans. estimated the morphometric similarity between possible pair...