Aprinda Indahlastari

Also affiliated with University of Florida

NeuroscienceMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 17 papers. Top paper: “A Systematic Review and Meta-Analysis of Transcranial Direct Current Stimulation to Remediate Age-Related Cognitive Decline in Healthy Older Adults”.

A Systematic Review and Meta-Analysis of Transcranial Direct Current Stimulation to Remediate Age-Related Cognitive Decline in Healthy Older Adults

Neuropsychiatric Disease and Treatment(2021)10.2147/ndt.s259499

N/A

0.624DataRank · unranked

63 citations

Cheshire Hardcastle, Alejandro Albizu, Stacey Alvarez‐Alvarado, Emanuel M. Boutzoukas, Nicole D. Evangelista +5 more

Machine learning and individual variability in electric field characteristics predict tDCS treatment response

Brain stimulation(2020)10.1016/j.brs.2020.10.001

N/A

0DataRank · unranked

83 citations

Ruogu Fang, Aprinda Indahlastari, Andrew O’Shea, Skylar E. Stolte, Kyle B. See +5 more

Electric Field Strength From Prefrontal Transcranial Direct Current Stimulation Determines Degree of Working Memory Response: A Potential Application of Reverse-Calculation Modeling?

Neuromodulation Technology at the Neural Interface(2020)10.1111/ner.13342

N/A

0DataRank · unranked

53 citations

Aprinda Indahlastari, Nicole R. Nissim, James W. Lopez, Holly H Fleischmann, Adam J. Woods +2 more

White matter hyperintensities affect transcranial electrical stimulation in the aging brain

Brain stimulation(2020)10.1016/j.brs.2020.11.009

N/A

0DataRank · unranked

14 citations

Alejandro Albizu, Emanuel M. Boutzoukas, Andrew O’Shea, Adam J. Woods, Aprinda Indahlastari

Individualized tDCS modeling predicts functional connectivity changes within the working memory network in older adults

Brain stimulation(2021)10.1016/j.brs.2021.08.003

N/A

0DataRank · unranked

51 citations

Alejandro Albizu, Jessica N. Kraft, Andrew O’Shea, Nicole R. Nissim, Ayden Dunn +8 more

Impact of Transcranial Direct Current Stimulation and Cognitive Training on Frontal Lobe Neurotransmitter Concentrations

Frontiers in Aging Neuroscience(2021)10.3389/fnagi.2021.761348

N/A

0DataRank · unranked

20 citations

Emanuel M. Boutzoukas, Jessica N. Kraft, Andrew O’Shea, Aprinda Indahlastari, Alejandro Albizu +6 more

Machine-learning defined precision tDCS for improving cognitive function

Brain stimulation(2023)10.1016/j.brs.2023.05.020

N/A

0DataRank · unranked

16 citations

Aprinda Indahlastari, Ziqian Huang, Jori L Waner, Skylar E. Stolte, Ruogu Fang +2 more

The importance of accurately representing electrode position in transcranial direct current stimulation computational models

Brain stimulation(2023)10.1016/j.brs.2023.05.010

N/A

0DataRank · unranked

12 citations

Ayden Dunn, Samantha Pedersen, Jessica N. Kraft, Shizu Someya, Alejandro Albizu +2 more

Impact of electrode selection on modeling tDCS in the aging brain

Frontiers in Human Neuroscience(2023)10.3389/fnhum.2023.1274114

N/A

0DataRank · unranked

4 citations

Ayden Dunn, Samantha Pedersen, Jessica N. Kraft, Shizu Someya, Alejandro Albizu +2 more

DOMINO: Domain-aware loss for deep learning calibration

Software Impacts(2023)10.1016/j.simpa.2023.100478

N/A

0DataRank · unranked

3 citations

Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin Brink +3 more

DOMINO: Domain-aware Loss for Deep Learning Calibration

arXiv (Cornell University)(2023)10.48550/arxiv.2302.05142

N/A

0DataRank · unranked

0 citations

Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin Brink +3 more

DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability

arXiv (Cornell University)(2023)10.48550/arxiv.2308.10453

N/A

0DataRank · unranked

0 citations

Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin Brink +3 more

The impact of a tDCS and cognitive training intervention on task-based functional connectivity

GeroScience(2024)10.1007/s11357-024-01077-4

N/A

0DataRank · unranked

11 citations

Aprinda Indahlastari, Emanuel M. Boutzoukas, Hanna K. Hausman, Cheshire Hardcastle, Alejandro Albizu +15 more

Machine learning-optimized non-invasive brain stimulation and treatment response classification for major depression

Bioelectronic Medicine(2024)10.1186/s42234-024-00157-2

N/A

0DataRank · unranked

10 citations

Aprinda Indahlastari, Paulo Suen, Ziqian Huang, Jori L Waner, Skylar E. Stolte +4 more

Precise and rapid whole-head segmentation from magnetic resonance images of older adults using deep learning

Imaging Neuroscience(2024)10.1162/imag_a_00090

N/A

0DataRank · unranked

5 citations

Aprinda Indahlastari, Jason Chen, Alejandro Albizu, Ayden Dunn, Samantha Pedersen +4 more

Modeling transcranial electrical stimulation in the aging brain

Brain stimulation(2020)10.1016/j.brs.2020.02.007

N/A

0DataRank · unranked

115 citations

Alejandro Albizu, Andrew O’Shea, Megan A. Forbes, Nicole R. Nissim, Jessica N. Kraft +4 more

The ENIGMA-Neuromodulation working group – A mission statement

Brain stimulation(2025)10.1016/j.brs.2024.12.1477

N/A

0DataRank · unranked

2 citations

Aprinda Indahlastari, Fidel Vila‐Rodriguez, Gregory A. Fonzo, Nicole Petersen, Natalie Rotstein +28 more