Intrinsic functional connectivity in the default mode network predicts mnemonic discrimination: A connectome‐based modeling approach-Reference-Cited by-同舟云学术

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Intrinsic functional connectivity in the default mode network predicts mnemonic discrimination: A connectome‐based modeling approach

Published:2021-11-25 Issue:1 Volume:32 Page:21-37
ISSN:1050-9631
Container-title:Hippocampus
language:en
Short-container-title:Hippocampus

Author:

Wahlheim Christopher N.¹^ORCID,Christensen Alexander P.²^ORCID,Reagh Zachariah M.³,Cassidy Brittany S.¹

Affiliation:

1. Department of Psychology University of North Carolina at Greensboro Greensboro North Carolina USA

2. Department of Neurology University of Pennsylvania Philadelphia Pennsylvania USA

3. Department of Psychological & Brain Sciences Washington University in St. Louis St. Louis Missouri USA

Publisher

Wiley

Subject

Cognitive Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hipo.23393

Reference87 articles.

1. Interleaving brain systems for episodic and recognition memory

2. Functional-Anatomic Fractionation of the Brain's Default Network

3. Disruption of Large-Scale Brain Systems in Advanced Aging

4. Contributions of human hippocampal subfields to spatial and temporal pattern separation

5. Pattern Separation in the Human Hippocampal CA3 and Dentate Gyrus

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1. Associations among attentional state, retrieval quality, and mnemonic discrimination;Journal of Memory and Language;2024-12

2. Dendrites contribute to the gradient of intrinsic timescales encompassing cortical and subcortical brain networks;Frontiers in Cellular Neuroscience;2024-09-06

3. A response time model of the three-choice Mnemonic Similarity Task provides stable, mechanistically interpretable individual-difference measures;Frontiers in Human Neuroscience;2024-08-29

4. Executive Function Predicts Older Adults’ Lure Discrimination Difficulties on the Mnemonic Similarity Task;The Journals of Gerontology: Series B;2023-06-18

5. Electroencephalography-Derived Functional Connectivity in Sensorimotor Networks in Post Stroke Fatigue;Brain Topography;2023-06-17

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