Prantik Kundu
A5059409524- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Neural and Behavioral Psychology Studies
- Autism Spectrum Disorder Research
- Genetics and Neurodevelopmental Disorders
- Neural dynamics and brain function
- Mental Health Research Topics
- EEG and Brain-Computer Interfaces
- Neurological disorders and treatments
- Atomic and Subatomic Physics Research
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Psychosomatic Disorders and Their Treatments
- Neuroendocrine regulation and behavior
- Stress Responses and Cortisol
- Congenital heart defects research
- Traumatic Brain Injury and Neurovascular Disturbances
- Attention Deficit Hyperactivity Disorder
- Obsessive-Compulsive Spectrum Disorders
- Evolutionary Psychology and Human Behavior
- Acute Ischemic Stroke Management
- Cerebrovascular and Carotid Artery Diseases
- Free Will and Agency
- Mindfulness and Compassion Interventions
- Optical Imaging and Spectroscopy Techniques
Aims Community College
2024
Icahn School of Medicine at Mount Sinai
2015-2024
Brigham and Women's Hospital
2023-2024
Harvard University
2023-2024
King's College London
2023
University of Cambridge
2011-2021
Imaging Center
2015-2020
Mount Sinai Hospital
2017-2018
Addenbrooke's Hospital
2011-2016
National Institute of Mental Health
2013-2016
Functional connectivity analysis of resting state blood oxygen level–dependent (BOLD) functional MRI is widely used for noninvasively studying brain networks. Recent findings have indicated, however, that even small (≤1 mm) amounts head movement during scanning can disproportionately bias estimates, despite various preprocessing efforts. Further complications interregional estimation from time domain signals include the unaccounted reduction in BOLD degrees freedom related to sensitivity...
The impact of in-scanner head movement on functional magnetic resonance imaging (fMRI) signals has long been established as undesirable. These effects have traditionally corrected by methods such linear regression parameters. However, a number recent independent studies demonstrated that these techniques are insufficient to remove motion confounds, and even small movements can spuriously bias estimates connectivity. Here we propose new data-driven, spatially-adaptive, wavelet-based method...
“Functional connectivity” techniques are commonplace tools for studying brain organization. A critical element of these analyses is to distinguish variance due neurobiological signals from nonneurobiological signals. Multiecho fMRI a promising means making such distinctions based on signal decay properties. Here, we report that multiecho enable excellent removal certain kinds artifactual variance, namely, spatially focal artifacts motion. By removing artifacts, reveal frequent,...
A recent hypothesis has suggested that core deficits in goal-directed behavior obsessive-compulsive disorder (OCD) are caused by impaired frontostriatal function. We tested this OCD patients and control subjects relating measures of planning cognitive flexibility to underlying resting-state functional connectivity.Multiecho acquisition, combined with micromovement correction blood oxygen level-dependent sensitive independent component analysis, was used obtain vivo connectivity 44 43 healthy...
The tremendous clinical and aetiological diversity among individuals with autism spectrum disorder (ASD) has been a major obstacle to the development of new treatments, as many may only be effective in particular subgroups. Precision medicine approaches aim overcome this challenge by combining pathophysiologically based treatments stratification biomarkers that predict which treatment most beneficial for individuals. However, so far, we have no single validated biomarker ASD. This due fact...
Discrete yet overlapping frontal-striatal circuits mediate broadly dissociable cognitive and behavioural processes. Using a recently developed multi-echo resting-state functional MRI (magnetic resonance imaging) sequence with greatly enhanced signal compared to noise ratios, we map frontal cortical projections the striatum striatal through direct indirect basal ganglia circuit. We demonstrate distinct limbic (ventromedial prefrontal regions, ventral – VS, tegmental area VTA), motor...
Self-agency (SA) is the individual's perception that an action consequence of his/her own intention. The neural networks underlying SA are not well understood. We carried out a novel, ecologically valid, virtual-reality experiment using blood oxygen level-dependent functional magnetic resonance imaging (fMRI) where could be modulated in real-time while subjects performed voluntary finger movements. Behavioral testing was also to assess explicit judgment SA. Twenty healthy volunteers...
The EU-AIMS Longitudinal European Autism Project (LEAP) is to date the largest multi-centre, multi-disciplinary observational study on biomarkers for autism spectrum disorder (ASD). current paper describes clinical characteristics of LEAP cohort and examines age, sex IQ differences in ASD core symptoms common co-occurring psychiatric symptoms. A companion overall design experimental protocol outlines strategy identify stratification biomarkers. From six research centres four countries, we...
Adolescent changes in human brain function are not entirely understood. Here, we used multiecho functional MRI (fMRI) to measure developmental change connectivity (FC) of resting-state oscillations between pairs 330 cortical regions and 16 subcortical 298 healthy adolescents scanned 520 times. Participants were aged 14 26 y on 1 3 occasions at least 6 mo apart. We found 2 distinct modes age-related FC: “conservative” “disruptive.” Conservative development was characteristic primary cortex,...
The sense of agency (SA) is an established framework that refers to our ability exert and perceive control over own actions. Having intact SA provides the basis for human perception voluntariness, while impairments in are hypothesized lead movements being involuntary may be seen many neurological or psychiatric disorders. Individuals with functional movement disorders (FMD) experience a lack their movements, yet these appear voluntary by physiology. We used fMRI explore whether alterations...
Artifact removal in resting state fMRI (rfMRI) data remains a serious challenge, with even subtle head motion undermining reliability and reproducibility. Here we compared some of the most popular single-echo de-noising methods—regression Motion parameters, White matter Cerebrospinal fluid signals (MWC method), FMRIB's ICA-based X-noiseifier (FIX) Automatic Removal Of Artifacts (ICA-AROMA)—with multi-echo approach (ME-ICA) that exploits linear dependency BOLD on echo time. Data were acquired...
Functional magnetic resonance imaging (fMRI) is a popular method for in vivo neuroimaging.Modern fMRI sequences are often weighted towards the blood oxygen level dependent (BOLD) signal, which closely linked to neuronal activity (Logothetis, 2002).This weighting achieved by tuning several parameters increase BOLD-weighted signal contrast.One such parameter "TE," or echo time.TE amount of time elapsed between when protons excited (the MRI source) and measured.Although total measured magnitude...
Abstract Oxytocin may influence various human behaviors and the connectivity across subcortical cortical networks. Previous oxytocin studies are male biased often constrained by task-based inferences. Here, we investigate impact of on resting-state between networks in women. We collected functional magnetic resonance imaging (fMRI) data 26 typically developing women 40 min following intranasal administration using a double-blind placebo-controlled crossover design. Independent components...
Autism spectrum disorder ("autism") is a highly heterogeneous neurodevelopmental condition with few effective treatments for core and associated features. To make progress we need to both identify validate neural markers that help parse heterogeneity tailor therapies specific neurobiological profiles. Atypical hemispheric lateralization stable feature across studies in autism, but its potential as stratification marker has not been widely examined. In order dissect used the large EU-AIMS...
Abstract The intrinsic functional organization of the brain changes into older adulthood. Age differences are observed at multiple spatial scales, from global reductions in modularity and segregation distributed systems, to network-specific patterns dedifferentiation. Whether dedifferentiation reflects an inevitable, shift function with age, circumscribed, experience-dependent changes, or both, is uncertain. We employed a multimethod strategy interrogate scales. Multi-echo (ME) resting-state...
Abstract Background Understanding the development of neuronal circuitry underlying autism spectrum disorder (ASD) is critical to shed light into its etiology and for treatment options. Resting state EEG provides a window spontaneous local long-range synchronization has been investigated in many ASD studies, but results are inconsistent. Unbiased investigation large comprehensive samples focusing on replicability needed. Methods We quantified resting alpha peak metrics, power (PS, 2–32 Hz)...
Head motion can be estimated at any point of fMRI image processing. Processing steps involving temporal interpolation (e.g., slice time correction or outlier replacement) often precede estimation in the literature. From first principles it anticipated that will alter head a scan. Here we demonstrate this effect and its consequences five large datasets. Estimated was reduced by 10–50% more following interpolation, reductions were visible to naked eye. Such make data seem improved quality....
Functional magnetic resonance imaging (fMRI) research is routinely criticized for being statistically underpowered due to characteristically small sample sizes and much larger are increasingly recommended. Additionally, various sources of artifact inherent in fMRI data can have detrimental impact on effect size estimates statistical power. Here we show how specific removal non-BOLD artifacts improve estimation power task-fMRI contexts, with particular application the social-cognitive domain...