Search Results - "Dunn, Ayden"

Impact of electrode selection on modeling tDCS in the aging brain by Indahlastari, Aprinda, Dunn, Ayden L, Pedersen, Samantha, Kraft, Jessica N, Someya, Shizu, Albizu, Alejandro, Woods, Adam J

“…Person-specific computational models can estimate transcranial direct current stimulation (tDCS) current dose delivered to the brain and predict treatment…”
Get full text

Individualized tDCS modeling predicts functional connectivity changes within the working memory network in older adults by Indahlastari, Aprinda, Albizu, Alejandro, Kraft, Jessica N., O'Shea, Andrew, Nissim, Nicole R., Dunn, Ayden L., Carballo, Daniela, Gordon, Michael P., Taank, Shreya, Kahn, Alex T., Hernandez, Cindy, Zucker, William M., Woods, Adam J.

“…Working memory decline has been associated with normal aging. The frontal brain structure responsible for this decline is primarily located in the prefrontal…”
Get full text

The importance of accurately representing electrode position in transcranial direct current stimulation computational models by Indahlastari, Aprinda, Dunn, Ayden L., Pedersen, Samantha, Kraft, Jessica N., Someya, Shizu, Albizu, Alejandro, Woods, Adam J.

“…•Existing tDCS models largely include artificially created electrodes adapted from planned montages.•Final location of real electrodes during live tDCS…”
Get full text

High fidelity finite element models to predict changes in functional connectivity of the working memory networks in older adults by Indahlastari, Aprinda, Albizu, Alejandro, O'Shea, Andrew, Nissim, Nicole, Dunn, Ayden, Carballo, Daniela, Gordon, Michael, Taank, Shreya, Kraft, Jessica, Woods, Adam

Get full text

Trends in Childhood Behavioral, Mental, and Developmental Problems (2019–2022) Using the National Survey of Children’s Health by Lent, Austin, Dunn, Ayden, Eldawy, Nada, Jhumkhawala, Vama, Rao, Meera, Sohmer, Joshua, Sacca, Lea

“…Background: This study examines nationwide prevalence of US childhood behavioral, mental, and developmental problems in the 6–11 age group category between…”
Get full text

Precise and rapid whole-head segmentation from magnetic resonance images of older adults using deep learning by Stolte, Skylar E., Indahlastari, Aprinda, Chen, Jason, Albizu, Alejandro, Dunn, Ayden, Pedersen, Samantha, See, Kyle B., Woods, Adam J., Fang, Ruogu

“…Whole-head segmentation from Magnetic Resonance Images (MRI) establishes the foundation for individualized computational models using finite element method…”
Get full text