Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Afrouz Anderson is active.

Publication


Featured researches published by Afrouz Anderson.


Frontiers in Neuroscience | 2017

Prefrontal Hemodynamics in Toddlers at Rest: A Pilot Study of Developmental Variability

Afrouz Anderson; Elizabeth Smith; Fatima Chowdhry; Audrey Thurm; Emma Condy; Lauren Swineford; Stacy S. Manwaring; Franck Amyot; Dennis L. Matthews; Amir H. Gandjbakhche

Functional near infrared spectroscopy (fNIRS) is a non-invasive functional neuroimaging modality. Although, it is amenable to use in infants and young children, there is a lack of fNIRS research within the toddler age range. In this study, we used fNIRS to measure cerebral hemodynamics in the prefrontal cortex (PFC) in 18–36 months old toddlers (n = 29) as part of a longitudinal study that enrolled typically-developing toddlers as well as those “at risk” for language and other delays based on presence of early language delays. In these toddlers, we explored two hemodynamic response indices during periods of rest during which time audiovisual childrens programming was presented. First, we investigate Lateralization Index, based on differences in oxy-hemoglobin saturation from left and right prefrontal cortex. Then, we measure oxygenation variability (OV) index, based on variability in oxygen saturation at frequencies attributed to cerebral autoregulation. Preliminary findings show that lower cognitive (including language) abilities are associated with fNIRS measures of both lower OV index and more extreme Lateralization index values. These preliminary findings show the feasibility of using fNIRS in toddlers, including those at risk for developmental delay, and lay the groundwork for future studies.


Brain and behavior | 2016

A machine learning approach to identify functional biomarkers in human prefrontal cortex for individuals with traumatic brain injury using functional near‐infrared spectroscopy

Nader Karamzadeh; Franck Amyot; Kimbra Kenney; Afrouz Anderson; Fatima Chowdhry; Hadis Dashtestani; Eric M. Wassermann; Victor Chernomordik; Claude Boccara; Edward J. Wegman; Ramon Diaz-Arrastia; Amir H. Gandjbakhche

We have explored the potential prefrontal hemodynamic biomarkers to characterize subjects with Traumatic Brain Injury (TBI) by employing the multivariate machine learning approach and introducing a novel task‐related hemodynamic response detection followed by a heuristic search for optimum set of hemodynamic features. To achieve this goal, the hemodynamic response from a group of 31 healthy controls and 30 chronic TBI subjects were recorded as they performed a complexity task.


Developmental Neuropsychology | 2017

Prefrontal Activation During Executive Tasks Emerges Over Early Childhood: Evidence From Functional Near Infrared Spectroscopy

Elizabeth Smith; Afrouz Anderson; Audrey Thurm; Philip Shaw; Mika Maeda; Fatima Chowdhry; Victor Chernomordik; Amir H. Gandjbakhche

ABSTRACT Functional Near Infrared Spectroscopy (fNIRS) is a brain imaging technique that is well-suited for use in young children, making it particularly useful for investigating the neural bases of the development of executive functions. In the present study, children (ages 4–10) underwent fNIRS while completing response inhibition and working memory tasks. While both tasks were associated with increases in oxyhemoglobin and decreases in deoxyhemoglobin, we found that strength of activation increased with age and with improvements in task performance. These findings support the relation between emerging executive functions and maturation of the prefrontal cortex.


Smart Biomedical and Physiological Sensor Technology XV | 2018

Handheld high resolution multispectral imaging device for study of Cushing syndrome (Conference Presentation)

Siddharth Khare; Ali Afshari; Afrouz Anderson; Constantine A. Stratakis; Amir H. Gandjbakhche

Point-of-care technologies have become increasingly important in diagnostic applications. Wireless capabilities provide easy storage and analysis of data. Thus, portable systems need to migrate to handheld versions. Previously we have been able to determine blood volume fraction and water content in human skin using near-infrared (NIR) imaging. We have also used this portable multispectral imager to successfully identify remission of disease after treatment in patients with Cushing disease. Here we present a handheld high resolution multispectral imager. This tool is designed to be light weight and easy to use to promote its use in any clinical setup. The device consists of a custom fabricated CMOS imaging camera with on-chip NIR filters, a 25mm lens and wireless communication electronics. Illumination is provided by a broad band incandescent lamp. The use of novel technology of on-chip filters avoids the need for large size filtering systems such as filter wheels, making it a handheld device. Eight NIR filters with wavelengths in the range 700 nm to 980 nm provide flexibility of detecting multiple chromophores in the skin such as oxy and deoxy hemoglobin, melanin etc. as well as water. Images are acquired simultaneously with exposure time of 300 ms to 500 ms. Each filtered image is about 340X340 pixel making it possible to use our curvature correction algorithm for accurate determination of parameters. Also, images at this resolution can provide reliable information about spatial variations. This tool can ultimately be used to the study other skin abnormalities such as Kaposi Sarcoma.


PLOS ONE | 2018

Exploring the role of task performance and learning style on prefrontal hemodynamics during a working memory task

Afrouz Anderson; Kian Parsa; Sydney Geiger; Rachel Zaragoza; Riley Kermanian; Helga Miguel; Hadis Dashtestani; Fatima Chowdhry; Elizabeth F. Smith; Siamak Aram; Amir H. Gandjbakhche

Existing literature outlines the quality and location of activation in the prefrontal cortex (PFC) during working memory (WM) tasks. However, the effects of individual differences on the underlying neural process of WM tasks are still unclear. In this functional near infrared spectroscopy study, we administered a visual and auditory n-back task to examine activation in the PFC while considering the influences of task performance, and preferred learning strategy (VARK score). While controlling for age, results indicated that high performance (HP) subjects (accuracy > 90%) showed task dependent lower activation compared to normal performance subjects in PFC region Specifically HP groups showed lower activation in left dorsolateral PFC (DLPFC) region during performance of auditory task whereas during visual task they showed lower activation in the right DLPFC. After accounting for learning style, we found a correlation between visual and aural VARK score and level of activation in the PFC. Subjects with higher visual VARK scores displayed lower activation during auditory task in left DLPFC, while those with higher visual scores exhibited higher activation during visual task in bilateral DLPFC. During performance of auditory task, HP subjects had higher visual VARK scores compared to NP subjects indicating an effect of learning style on the task performance and activation. The results of this study show that learning style and task performance can influence PFC activation, with applications toward neurological implications of learning style and populations with deficits in auditory or visual processing.


Brain and behavior | 2018

The role of prefrontal cortex in a moral judgment task using functional near-infrared spectroscopy

Hadis Dashtestani; Rachel Zaragoza; Riley Kermanian; Kristine M. Knutson; Milton Halem; Aisling Casey; Nader Shahni Karamzadeh; Afrouz Anderson; Albert Claude Boccara; Amir H. Gandjbakhche

Understanding the neural basis of moral judgment (MJ) and human decision‐making has been the subject of numerous studies because of their impact on daily life activities and social norms. Here, we aimed to investigate the neural process of MJ using functional near‐infrared spectroscopy (fNIRS), a noninvasive, portable, and affordable neuroimaging modality.


Brain and behavior | 2015

Relative brain signature: a population‐based feature extraction procedure to identify functional biomarkers in the brain of alcoholics

Nader Karamzadeh; Yasaman Ardeshirpour; Matthew Kellman; Fatima Chowdhry; Afrouz Anderson; David B. Chorlian; Edward J. Wegman; Amir H. Gandjbakhche


Brain | 2018

Near Infra-Red Spectroscopy (NIRS) in Urea Cycle Disorders and Typically Developing Children

Fatima Chowdhry; Andrea Gropman; Afrouz Anderson; Hadis Dashtestani; Amir H. Gandjbakhche


Biophotonics Congress: Biomedical Optics Congress 2018 (Microscopy/Translational/Brain/OTS) (2018), paper JW3A.52 | 2018

Importance of Left Dorsolateral Prefrontal Cortex in Moral Judgment Using Functional Near-infrared Spectroscopy

Hadis Dashtestani; Rachel Zaragoza; Riley Kermanian; Kristine M. Knutson; Milton Halem; Afrouz Anderson; Amir H. Gandjbakhche


conference on lasers and electro optics | 2016

Prefrontal cortex hemodynamics and age in children: A pilot study using functional near infrared spectroscopy

Afrouz Anderson; Elizabeth Smith; Amir H. Gandjbakhche

Collaboration


Dive into the Afrouz Anderson's collaboration.

Top Co-Authors

Avatar

Amir H. Gandjbakhche

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Fatima Chowdhry

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Hadis Dashtestani

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Elizabeth Smith

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Franck Amyot

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Rachel Zaragoza

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Riley Kermanian

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Victor Chernomordik

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Audrey Thurm

National Institutes of Health

View shared research outputs
Researchain Logo
Decentralizing Knowledge