David A. Wolk

48 papers Journal 32Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
ICHOR: A Robust Representation Learning Approach for ASL CBF Maps with Self-Supervised Masked Autoencoders.
CoRR
Xavier Beltran-Urbano, Yiran Li, Xinglin Zeng, Katie R. Jobson, Manuel Taso, Christopher A. Brown, David A. Wolk, Corey T. McMillan, Ilya M. Nashrallah, Paul A. Yushkevich, Ze Wang, John A. Detre, Sudipto Dolui
2025 J jnl
Development of an isotropic segmentation model for medial temporal lobe subregions on anisotropic MRI atlas using implicit neural representation.
CoRR
Yue Li, Pulkit Khandelwal, Rohit Jena, Long Xie, Michael Tran Duong, Amanda Denning, Christopher A. Brown, Laura E. M. Wisse, Sandhitsu R. Das, David A. Wolk, Paul A. Yushkevich
2025 J jnl
Nearly isotropic segmentation for medial temporal lobe subregions in multi-modality MRI.
CoRR
Yue Li, Pulkit Khandelwal, Long Xie, Laura E. M. Wisse, Nidhi Mundada, Christopher A. Brown, Emily McGrew, Amanda Denning, Sandhitsu R. Das, David A. Wolk, Paul A. Yushkevich
2025 — conf
VIOLET: Volumetric Image registration via Optimization and Learning for Efficient image Translation.
SASHIMI@MICCAI 2025
Pulkit Khandelwal, Michael Tran Duong, Lisa Levorse, Sydney Lim, Nathaniel Gauthier, Ved Shenoy, Eunice Chung, Amanda Denning, Alejandra Bahena, Winifred Trotman, Christopher Olm, Hamsanandini Radhakrishnan, Ranjit Ittyerah, Karthik Prabhakaran, Gabor Mizsei, Theresa Schuck, John L. Robinson, Daniel T. Ohm, Jeffrey S. Phillips, John A. Detre, Edward B. Lee, David J. Irwin, Corey T. McMillan, M. Dylan Tisdall, Sandhitsu R. Das, David A. Wolk, Paul A. Yushkevich
2024 — conf
Surface-Based Parcellation and Vertex-wise Analysis of Ultra High-resolution ex vivo 7 tesla MRI in Alzheimer's disease and related dementias.
MLCN@MICCAI
Pulkit Khandelwal, Michael Tran Duong, Lisa Levorse, Constanza Fuentes, Amanda Denning, Winifred Trotman, Ranjit Ittyerah, Alejandra Bahena, Theresa Schuck, Marianna Gabrielyan, Karthik Prabhakaran, Daniel T. Ohm, Gabor Mizsei, John Robinson, Mónica Muñoz López, John A. Detre, Edward B. Lee, David J. Irwin, Corey McMillan, M. Dylan Tisdall, Sandhitsu R. Das, David A. Wolk, Paul A. Yushkevich
2024 J jnl
Surface-based parcellation and vertex-wise analysis of ultra high-resolution ex vivo 7 tesla MRI in neurodegenerative diseases.
CoRR
Pulkit Khandelwal, Michael Tran Duong, Constanza Fuentes, Amanda Denning, Winifred Trotman, Ranjit Ittyerah, Alejandra Bahena, Theresa Schuck, Marianna Gabrielyan, Karthik Prabhakaran, Daniel T. Ohm, Gabor Mizsei, John L. Robinson, Mónica Muñoz López, John A. Detre, Edward B. Lee, David J. Irwin, Corey McMillan, M. Dylan Tisdall, Sandhitsu R. Das, David A. Wolk, Paul A. Yushkevich
2024 J jnl
WarpDrive: Improving spatial normalization using manual refinements.
Medical Image Anal.
Simon Oxenford, Ana Sofía Ríos, Barbara Hollunder, Clemens Neudorfer, Alexandre Boutet, Gavin J. B. Elias, Jürgen Germann, Aaron Loh, Wissam Deeb, Bryan Salvato, Leonardo Almeida, Kelly D. Foote, Robert S. C. Amaral, Paul B. Rosenberg, David F. Tang-Wai, David A. Wolk, Anna D. Burke, Marwan N. Sabbagh, Stephen Salloway, M. Mallar Chakravarty, Gwenn S. Smith, Constantine G. Lyketsos, Michael S. Okun, William S. Anderson, Zoltan Mari, Francisco A. Ponce, Andres M. Lozano, Wolf-Julian Neumann, Bassam Al-Fatly, Andreas Horn
2023 J jnl
Automated deep learning segmentation of high-resolution 7 T ex vivo MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases.
CoRR
Pulkit Khandelwal, Michael Tran Duong, Shokufeh Sadaghiani, Sydney Lim, Amanda Denning, Eunice Chung, Sadhana Ravikumar, Sanaz Arezoumandan, Claire Peterson, Madigan L. Bedard, Noah Capp, Ranjit Ittyerah, Elyse Migdal, Grace Choi, Emily Kopp, Bridget Loja, Eusha Hasan, Jiacheng Li, Karthik Prabhakaran, Gabor Mizsei, Marianna Gabrielyan, Theresa Schuck, Winifred Trotman, John L. Robinson, Daniel T. Ohm, Edward B. Lee, John Q. Trojanowski, Corey McMillan, Murray Grossman, David J. Irwin, John A. Detre, M. Dylan Tisdall, Sandhitsu R. Das, Laura E. M. Wisse, David A. Wolk, Paul A. Yushkevich
2023 J jnl
Deep label fusion: A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation.
Medical Image Anal.
Long Xie, Laura E. M. Wisse, Jiancong Wang, Sadhana Ravikumar, Pulkit Khandelwal, Trevor Glenn, Anica Luther, Sydney Lim, David A. Wolk, Paul A. Yushkevich
2023 J jnl
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering.
CoRR
Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, Yuhan Cui, Güray Erus, Elizabeth Mamourian, Randa Melhem, Dhivya Srinivasan, Sindhuja T. Govindarajan, Jiong Chen, Mohamad Habes, Colin L. Masters, Paul Maruff, Jurgen Fripp, Luigi Ferrucci, Marilyn S. Albert, Sterling C. Johnson, John C. Morris, Pamela LaMontagne, Daniel S. Marcus, Tammie L. S. Benzinger, David A. Wolk, Li Shen, Jingxuan Bao, Susan M. Resnick, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos
2023 — conf
Image-to-Image Translation Between Tau Pathology and Neuronal Metabolism PET in Alzheimer Disease with Multi-domain Contrastive Learning.
MLCN@MICCAI
Michael Tran Duong, Sandhitsu R. Das, Pulkit Khandelwal, Xueying Lyu, Long Xie, Paul A. Yushkevich, David A. Wolk, Ilya M. Nasrallah
2023 — conf
Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation.
IPMI
Sadhana Ravikumar, Ranjit Ittyerah, Sydney Lim, Long Xie, Sandhitsu R. Das, Pulkit Khandelwal, Laura E. M. Wisse, Madigan L. Bedard, John L. Robinson, Terry Schuck, Murray Grossman, John Q. Trojanowski, Edward B. Lee, M. Dylan Tisdall, Karthik Prabhakaran, John A. Detre, David J. Irwin, Winifred Trotman, Gabor Mizsei, Emilio Artacho-Pérula, Maria Mercedes Iñiguez de Onzoño Martin, María del Mar Arroyo Jiménez, Mónica Muñoz López, Francisco Javier Molina Romero, Maria del Pilar Marcos Rabal, Sandra Cebada Sánchez, José Carlos Delgado González, Carlos de la Rosa-Prieto, Marta Córcoles Parada, David A. Wolk, Ricardo Insausti, Paul A. Yushkevich
2023 J jnl
Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation.
CoRR
Sadhana Ravikumar, Ranjit Ittyerah, Sydney Lim, Long Xie, Sandhitsu R. Das, Pulkit Khandelwal, Laura E. M. Wisse, Madigan L. Bedard, John L. Robinson, Terry Schuck, Murray Grossman, John Q. Trojanowski, Edward B. Lee, M. Dylan Tisdall, Karthik Prabhakaran, John A. Detre, David J. Irwin, Winifred Trotman, Gabor Mizsei, Emilio Artacho-Pérula, Maria Mercedes Iñiguez de Onzoño Martin, María del Mar Arroyo Jiménez, Mónica Muñoz López, Francisco Javier Molina Romero, Maria del Pilar Marcos Rabal, Sandra Cebada Sánchez, José Carlos Delgado González, Carlos de la Rosa-Prieto, Marta Córcoles Parada, David A. Wolk, Ricardo Insausti, Paul A. Yushkevich
2023 — conf
Integrating color deconvolution thresholding and weakly supervised learning for automated segmentation of neurofibrillary tangle and neuropil threads.
Digital and Computational Pathology
Hyung S. Roh, David J. Irwin, Mónica Muñoz López, Maria Mercedes Iñiguez de Onzoño Martin, Ranjit Ittyerah, Sydney Lim, Madigan L. Bedard, John L. Robinson, Theresa Schuck, Emilio Artacho-Pérula, María del Mar Arroyo Jiménez, Maria del Pilar Marcos Rabal, Francisco Javier Molina Romero, Sandra Cebada Sánchez, José Carlos Delgado González, Carlos de la Rosa-Prieto, Marta Córcoles Parada, Edward B. Lee, Daniel T. Ohm, Laura E. M. Wisse, David A. Wolk, James C. Gee, Ricardo Insausti, Paul A. Yushkevich, Min Chen
2023 J jnl
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study.
NeuroImage
Zhen Zhou, Hongming Li, Dhivya Srinivasan, Ahmed Abdulkadir, Ilya M. Nasrallah, Junhao Wen, Jimit Doshi, Güray Erus, Elizabeth Mamourian, R. Nick Bryan, David A. Wolk, Lori L. Beason-Held, Susan M. Resnick, Theodore D. Satterthwaite, Christos Davatzikos, Haochang Shou, Yong Fan
2023 J jnl
Regional Deep Atrophy: a Self-Supervised Learning Method to Automatically Identify Regions Associated With Alzheimer's Disease Progression From Longitudinal MRI.
CoRR
Mengjin Dong, Long Xie, Sandhitsu R. Das, Jiancong Wang, Laura E. M. Wisse, Robin DeFlores, David A. Wolk, Paul A. Yushkevich
2021 — conf
Deep Label Fusion: A 3D End-To-End Hybrid Multi-atlas Segmentation and Deep Learning Pipeline.
IPMI
Long Xie, Laura E. M. Wisse, Jiancong Wang, Sadhana Ravikumar, Trevor Glenn, Anica Luther, Sydney Lim, David A. Wolk, Paul A. Yushkevich
2021 J jnl
Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline.
CoRR
Long Xie, Laura E. M. Wisse, Jiancong Wang, Sadhana Ravikumar, Trevor Glenn, Anica Luther, Sydney Lim, David A. Wolk, Paul A. Yushkevich
2021 J jnl
DeepAtrophy: Teaching a neural network to detect progressive changes in longitudinal MRI of the hippocampal region in Alzheimer's disease.
NeuroImage
Mengjin Dong, Long Xie, Sandhitsu R. Das, Jiancong Wang, Laura E. M. Wisse, Robin DeFlores, David A. Wolk, Paul A. Yushkevich
2021 J jnl
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning.
CoRR
Gyujoon Hwang, Ahmed Abdulkadir, Güray Erus, Mohamad Habes, Raymond Pomponio, Haochang Shou, Jimit Doshi, Elizabeth Mamourian, Tanweer Rashid, Murat Bilgel, Yong Fan, Aristeidis Sotiras, Dhivya Srinivasan, John C. Morris, Daniel S. Marcus, Marilyn S. Albert, R. Nick Bryan, Susan M. Resnick, Ilya M. Nasrallah, Christos Davatzikos, David A. Wolk
2021 J jnl
Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease.
CoRR
Zhijian Yang, Ilya M. Nasrallah, Haochang Shou, Junhao Wen, Jimit Doshi, Mohamad Habes, Güray Erus, Ahmed Abdulkadir, Susan M. Resnick, David A. Wolk, Christos Davatzikos
2021 J jnl
Gray Matter Segmentation in Ultra High Resolution 7 Tesla ex vivo T2w MRI of Human Brain Hemispheres.
CoRR
Pulkit Khandelwal, Shokufeh Sadaghiani, Sadhana Ravikumar, Sydney Lim, Sanaz Arezoumandan, Claire Peterson, Eunice Chung, Madigan L. Bedard, Noah Capp, Ranjit Ittyerah, Elyse Migdal, Grace Choi, Emily Kopp, Bridget Loja, Eusha Hasan, Jiacheng Li, Karthik Prabhakaran, Gabor Mizsei, Marianna Gabrielyan, Theresa Schuck, John L. Robinson, Daniel T. Ohm, Edward B. Lee, John Q. Trojanowski, Corey McMillan, Murray Grossman, David J. Irwin, M. Dylan Tisdall, Sandhitsu R. Das, Laura E. M. Wisse, David A. Wolk, Paul A. Yushkevich
2021 J jnl
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics.
CoRR
Junhao Wen, Cynthia H. Y. Fu, Duygu Tosun, Yogasudha Veturi, Zhijian Yang, Ahmed Abdulkadir, Elizabeth Mamourian, Dhivya Srinivasan, Jingxuan Bao, Güray Erus, Haochang Shou, Mohamad Habes, Jimit Doshi, Erdem Varol, Scott R. Mackin, Aristeidis Sotiras, Yong Fan, Andrew J. Saykin, Yvette I. Sheline, Li Shen, Marylyn D. Ritchie, David A. Wolk, Marilyn S. Albert, Susan M. Resnick, Christos Davatzikos
2021 — conf
Unfolding the Medial Temporal Lobe Cortex to Characterize Neurodegeneration Due to Alzheimer's Disease Pathology Using Ex vivo Imaging.
MLCN@MICCAI
Sadhana Ravikumar, Laura E. M. Wisse, Sydney Lim, David J. Irwin, Ranjit Ittyerah, Long Xie, Sandhitsu R. Das, Edward B. Lee, M. Dylan Tisdall, Karthik Prabhakaran, John A. Detre, Gabor Mizsei, John Q. Trojanowski, John L. Robinson, Theresa Schuck, Murray Grossman, Emilio Artacho-Pérula, Maria Mercedes Iñiguez de Onzoño Martin, María del Mar Arroyo Jiménez, Mónica Muñoz López, Francisco Javier Molina Romero, Maria del Pilar Marcos Rabal, Sandra Cebada Sánchez, José Carlos Delgado González, Carlos de la Rosa-Prieto, Marta Córcoles Parada, David A. Wolk, Ricardo Insausti, Paul A. Yushkevich
2020 — conf
3D Mapping of TAU Neurofibrillary Tangle Pathology in the Human Medial Temporal Lobe.
ISBI
Paul A. Yushkevich, Maria Mercedes Iñiguez de Onzoño Martin, Ranjit Ittyerah, Sydney Lim, Madigan Lavery, Jiancong Wang, Alex Ling Yu Hung, Nicolas Vergnet, Sadhana Ravikumar, Long Xie, Mengjin Dong, Robin DeFlores, Salena Cui, Lauren McCollum, Daniel T. Ohm, John L. Robinson, Theresa Schuck, Murray Grossman, M. Dylan Tisdall, Karthik Prabhakaran, Gabor Mizsei, Sandhitsu R. Das, Emilio Artacho-Pérula, María del Mar Arroyo Jiménez, Mónica Muñoz López, Maria del Pilar Marcos Rabal, Francisco Javier Molina Romero, Edward B. Lee, John Q. Trojanowski, Laura E. M. Wisse, David A. Wolk, David J. Irwin, Ricardo Insausti
2020 J jnl
A comparison of Freesurfer and multi-atlas MUSE for brain anatomy segmentation: Findings about size and age bias, and inter-scanner stability in multi-site aging studies.
NeuroImage
Dhivya Srinivasan, Güray Erus, Jimit Doshi, David A. Wolk, Haochang Shou, Mohamad Habes, Christos Davatzikos
2020 — conf
Building an Ex Vivo Atlas of the Earliest Brain Regions Affected by Alzheimer's Disease Pathology.
ISBI
Sadhana Ravikumar, Laura E. M. Wisse, Ranjit Ittyerah, Sydney Lim, Madigan Lavery, Long Xie, John L. Robinson, Theresa Schuck, Murray Grossman, Edward B. Lee, M. Dylan Tisdall, Karthik Prabhakaran, John A. Detre, Sandhitsu R. Das, Gabor Mizsei, Emilio Artacho-Pérula, Maria Mercedes Iñiguez de Onzoño Martin, María del Mar Arroyo Jiménez, Mónica Muñoz López, Francisco Javier Molina Romero, Maria del Pilar Marcos Rabal, David J. Irwin, John Q. Trojanowski, David A. Wolk, Ricardo Insausti, Paul A. Yushkevich
2020 J jnl
DeepAtrophy: Teaching a Neural Network to Differentiate Progressive Changes from Noise on Longitudinal MRI in Alzheimer's Disease.
CoRR
Mengjin Dong, Long Xie, Sandhitsu R. Das, Jiancong Wang, Laura E. M. Wisse, Robin DeFlores, David A. Wolk, Paul A. Yushkevich
2020 J jnl
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging.
CoRR
Vishnu M. Bashyam, Jimit Doshi, Güray Erus, Dhivya Srinivasan, Ahmed Abdulkadir, Mohamad Habes, Yong Fan, Colin L. Masters, Paul Maruff, Chuanjun Zhuo, Henry Völzke, Sterling C. Johnson, Jurgen Fripp, Nikolaos Koutsouleris, Theodore D. Satterthwaite, Daniel H. Wolf, Raquel E. Gur, Ruben C. Gur, John C. Morris, Marilyn S. Albert, Hans Jörgen Grabe, Susan M. Resnick, R. Nick Bryan, David A. Wolk, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos
2019 J jnl
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI.
CoRR
Hongming Li, Mohamad Habes, David A. Wolk, Yong Fan
2019 — conf
Improving Multi-atlas Segmentation by Convolutional Neural Network Based Patch Error Estimation.
MICCAI (3)
Long Xie, Jiancong Wang, Mengjin Dong, David A. Wolk, Paul A. Yushkevich
2018 — conf
Characterizing Anatomical Variability and Alzheimer's Disease Related Cortical Thinning in the Medial Temporal Lobe Using Graph-Based Groupwise Registration and Point Set Geodesic Shooting.
ShapeMI@MICCAI
Long Xie, Laura E. M. Wisse, Sandhitsu R. Das, Ranjit Ittyerah, Jiancong Wang, David A. Wolk, Paul A. Yushkevich
2018 J jnl
Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology.
Proc. Natl. Acad. Sci. USA
Daniel H. Adler, Laura E. M. Wisse, Ranjit Ittyerah, John Pluta, Song-Lin Ding, Long Xie, Jiancong Wang, Salmon Kadivar, John L. Robinson, Theresa Schuck, John Q. Trojanowski, Murray Grossman, John A. Detre, Mark A. Elliott, Jon B. Toledo, Weixia Liu, Stephen Pickup, Michael I. Miller, Sandhitsu R. Das, David A. Wolk, Paul A. Yushkevich
2017 J jnl
Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability.
NeuroImage
Long Xie, John Pluta, Sandhitsu R. Das, Laura E. M. Wisse, Hongzhi Wang, Lauren Mancuso, Dasha Kliot, Brian B. Avants, Song-Lin Ding, José V. Manjón, David A. Wolk, Paul A. Yushkevich
2016 — conf
A framework for informing segmentation of in vivo MRI with information derived from ex vivo imaging: Application in the medial temporal lobe.
EMBC
Paul A. Yushkevich, Laura E. M. Wisse, Daniel H. Adler, Ranjit Ittyerah, John Pluta, John L. Robinson, Theresa Schuck, John Q. Trojanowski, Murray Grossman, John A. Detre, Mark A. Elliott, Jon B. Toledo, Weixia Liu, Stephen Pickup, Sandhitsu R. Das, David A. Wolk
2016 — conf
Accounting for the Confound of Meninges in Segmenting Entorhinal and Perirhinal Cortices in T1-Weighted MRI.
MICCAI (2)
Long Xie, Laura E. M. Wisse, Sandhitsu R. Das, Hongzhi Wang, David A. Wolk, José V. Manjón, Paul A. Yushkevich
2016 — conf
Probabilistic Atlas of the Human Hippocampus Combining Ex Vivo MRI and Histology.
MICCAI (3)
Daniel H. Adler, Ranjit Ittyerah, John Pluta, Stephen Pickup, Weixia Liu, David A. Wolk, Paul A. Yushkevich
2014 — conf
Automatic Clustering and Thickness Measurement of Anatomical Variants of the Human Perirhinal Cortex.
MICCAI (3)
Long Xie, John Pluta, Hongzhi Wang, Sandhitsu R. Das, Lauren Mancuso, Dasha Kliot, Brian B. Avants, Song-Lin Ding, David A. Wolk, Paul A. Yushkevich
2014 J jnl
Subject-specific functional parcellation via Prior Based Eigenanatomy.
NeuroImage
Paramveer S. Dhillon, David A. Wolk, Sandhitsu R. Das, Lyle H. Ungar, James C. Gee, Brian B. Avants
2014 J jnl
Transcranial Direct Current Stimulation Enhances Verbal Working Memory Training Performance over Time and Near Transfer Outcomes.
J. Cogn. Neurosci.
Lauren L. Richmond, David A. Wolk, Jason M. Chein, Ingrid R. Olson
2013 — conf
Predicting Cognitive Data from Medical Images Using Sparse Linear Regression.
IPMI
Benjamin M. Kandel, David A. Wolk, James C. Gee, Brian B. Avants
2013 J jnl
The effects of aging and Alzheimer's disease on cerebral cortical anatomy: Specificity and differential relationships with cognition.
NeuroImage
Akram Bakkour, John C. Morris, David A. Wolk, Bradford C. Dickerson
2011 J jnl
Effects of task-set adoption on ERP correlates of controlled and automatic recognition memory.
NeuroImage
Kristine A. Wilckens, Joshua J. Tremel, David A. Wolk, Mark E. Wheeler
2011 J jnl
Fractionating verbal episodic memory in Alzheimer's disease.
NeuroImage
David A. Wolk, Bradford C. Dickerson
2009 J jnl
Left posterior parietal cortex participates in both task preparation and episodic retrieval.
NeuroImage
Jeffrey S. Phillips, Katerina Velanova, David A. Wolk, Mark E. Wheeler
2008 J jnl
Compensatory neural activity distinguishes different patterns of normal cognitive aging.
NeuroImage
Jenna L. Riis, Hyemi Chong, Katherine K. Ryan, David A. Wolk, Dorene M. Rentz, Phillip J. Holcomb, Kirk R. Daffner
2008 J jnl
Detection of cortical thickness correlates of cognitive performance: Reliability across MRI scan sessions, scanners, and field strengths.
NeuroImage
Bradford C. Dickerson, E. Fenstermacher, David H. Salat, David A. Wolk, Ralph Paul Maguire, Rahul Desikan, Jennifer L. Pacheco, Brian T. Quinn, André J. W. van der Kouwe, Douglas N. Greve, Deborah Blacker, Marilyn S. Albert, Ronald J. Killiany, Bruce Fischl
2006 J jnl
Increased Responsiveness to Novelty is Associated with Successful Cognitive Aging.
J. Cogn. Neurosci.
Kirk R. Daffner, Katherine K. Ryan, Danielle M. Williams, Andrew E. Budson, Dorene M. Rentz, David A. Wolk, Phillip J. Holcomb