John Medaglia

John Medaglia

Drexel University

H-index: 33

North America-United States

About John Medaglia

John Medaglia, With an exceptional h-index of 33 and a recent h-index of 28 (since 2020), a distinguished researcher at Drexel University, specializes in the field of Neuropsychology, Cognitive Network Neuroscience, Network Control Theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

Enhancing cognitive control with transcranial magnetic stimulation in subject-specific frontoparietal networks

Evaluating and benchmarking the EEG signal quality of high-density, dry MXene-based electrode arrays against gelled Ag/AgCl electrodes

13 Money versus Feedback: Comparing Reward Types and Frequency on Cognitive Fatigue

B-84 Changes in Right Pars Triangularis Network Role and Naming Errors in Post-Stroke Aphasia

A-175 EEG Phase Can be Predicted with Similar Accuracy across Cognitive States after Accounting for Power and SNR

EEG Phase Can Be Predicted with Similar Accuracy across Cognitive States after Accounting for Power and Signal-to-Noise Ratio

Individual-level functional connectivity predicts cognitive control efficiency

Investigating the influence of an effort–reward interaction on cognitive fatigue in individuals with multiple sclerosis

John Medaglia Information

University

Position

; Perelman School of Medicine

Citations(all)

6017

Citations(since 2020)

4704

Cited By

3326

hIndex(all)

33

hIndex(since 2020)

28

i10Index(all)

56

i10Index(since 2020)

49

Email

University Profile Page

Drexel University

Google Scholar

View Google Scholar Profile

John Medaglia Skills & Research Interests

Neuropsychology

Cognitive Network Neuroscience

Network Control Theory

Top articles of John Medaglia

Title

Journal

Author(s)

Publication Date

Enhancing cognitive control with transcranial magnetic stimulation in subject-specific frontoparietal networks

Cortex

Julia Dengler

Benjamin L Deck

Harrison Stoll

Guadalupe Fernandez-Nunez

Apoorva S Kelkar

...

2024/3/1

Evaluating and benchmarking the EEG signal quality of high-density, dry MXene-based electrode arrays against gelled Ag/AgCl electrodes

Journal of Neural Engineering

Brian Erickson

Ryan Rich

Sneha Shankar

Brian Kim

Nicolette Driscoll

...

2024/1/12

13 Money versus Feedback: Comparing Reward Types and Frequency on Cognitive Fatigue

Journal of the International Neuropsychological Society

Fareshte Erani

Harrison Stoll

Darshan Patel

Maria T Schultheis

John D Medaglia

2023/11

B-84 Changes in Right Pars Triangularis Network Role and Naming Errors in Post-Stroke Aphasia

Archives of Clinical Neuropsychology

Harrison Stoll

Adelyn Brecher

H Branch Coslett

Haley Dresang

Olu Faseyitan

...

2023/10

A-175 EEG Phase Can be Predicted with Similar Accuracy across Cognitive States after Accounting for Power and SNR

Archives of Clinical Neuropsychology

Brian Kim

Brian A Erickson

Guadalupe Fernandez-Nuñez

John D Medaglia

Georgios Mentzelopoulos

...

2023/10

EEG Phase Can Be Predicted with Similar Accuracy across Cognitive States after Accounting for Power and Signal-to-Noise Ratio

eneuro

Brian Kim

Brian A Erickson

Guadalupe Fernandez-Nunez

Ryan Rich

Georgios Mentzelopoulos

...

2023/9/1

Individual-level functional connectivity predicts cognitive control efficiency

NeuroImage

Benjamin L Deck

Apoorva Kelkar

Brian Erickson

Fareshte Erani

Eric McConathey

...

2023/12/1

Investigating the influence of an effort–reward interaction on cognitive fatigue in individuals with multiple sclerosis

Journal of neuropsychology

Fareshte Erani

Darshan Patel

Benjamin L Deck

Roy H Hamilton

Maria T Schultheis

...

2023/6

46 Depression and Reward Responsiveness in Multiple Sclerosis

Journal of the International Neuropsychological Society

Valerie Humphreys

Fareshte Irani

Darshan Patel

Maria Schultheis

John Medaglia

...

2023/11

Alerting attention is sufficient to induce a phase-dependent behavior that can be predicted by frontal EEG

Frontiers in Behavioral Neuroscience

Georgios Mentzelopoulos

Nicolette Driscoll

Sneha Shankar

Brian Kim

Ryan Rich

...

2023/5/24

Simulated attack reveals how lesions affect network properties in poststroke aphasia

Journal of Neuroscience

John D Medaglia

Brian A Erickson

Dorian Pustina

Apoorva S Kelkar

Andrew T DeMarco

...

2022/6/15

Conversational linguistic features predict social network learning

Helen Schmidt

Sophia Tran

John Medaglia

Ginny Ulichney

Chelsea Helion

2022/10/5

Context-dependent risk & benefit sensitivity mediate judgments about cognitive enhancement

AJOB neuroscience

Kiante Fernandez

Roy Hamilton

Laura Cabrera

John Dominic Medaglia

2022/1/2

Preserved anatomical bypasses predict variance in language functions after stroke

Cortex

BA Erickson

B Kim

BL Deck

D Pustina

AT DeMarco

...

2022/10/1

The Effect of Rest and Task States on EEG Phase Prediction Accuracy

Brian Kim

2022

Correcting the reward imbalance in binge eating: A pilot randomized trial of reward re-training treatment

Appetite

Adrienne S Juarascio

Emily K Presseller

Megan L Wilkinson

Apoorva Kelkar

Paakhi Srivastava

...

2022/9/1

The"'Crisis' Crisis" in psychology.

Behavioral & Brain Sciences

John D Medaglia

Kiante A Fernandez

2022/1/1

The relationship between fatigue and a clinically accessible measure of switching in individuals with multiple sclerosis

Archives of Clinical Neuropsychology

Fareshte Erani

Joshua McKeever

John D Medaglia

Maria T Schultheis

2022/9

Structural disconnection of the posterior medial frontal cortex reduces speech error monitoring

NeuroImage: Clinical

Joshua D McCall

J Vivian Dickens

Ayan S Mandal

Andrew T DeMarco

Mackenzie E Fama

...

2022/1/1

Glutamate-weighted magnetic resonance imaging (GluCEST) detects effects of transcranial magnetic stimulation to the motor cortex

Neuroimage

Abigail TJ Cember

Benjamin L Deck

Apoorva Kelkar

Olu Faseyitan

Jared P Zimmerman

...

2022/8/1

See List of Professors in John Medaglia University(Drexel University)