Evidence map›Paper›PMID 34790106›Full record

ArticleFrontiers in human neuroscience2021

Neurofunctional Segmentation Shifts in the Hippocampus.

Jennifer L Robinson, Xinyu Zhou, Ryan T Bird, Mackenzie J Leavitt, Steven J Nichols, Sara K Blaine, Gopikrishna Deshpande

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jennifer L RobinsonDepartment of Psychological Sciences, Auburn University, Auburn, AL, United States.
Xinyu ZhouDepartment of Electrical and Computer Engineering, Auburn University Magnetic Resonance Imaging Research Center, Auburn University, Auburn, AL, United States.
Ryan T BirdDepartment of Psychological Sciences, Auburn University, Auburn, AL, United States.
Mackenzie J LeavittDepartment of Psychological Sciences, Auburn University, Auburn, AL, United States.
Steven J NicholsDepartment of Psychological Sciences, Auburn University, Auburn, AL, United States.
Sara K BlaineDepartment of Psychological Sciences, Auburn University, Auburn, AL, United States.
Gopikrishna DeshpandeDepartment of Psychological Sciences, Auburn University, Auburn, AL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hippocampus is one of the most phylogenetically preserved structures in the mammalian brain. Engaged in a host of diverse cognitive processes, there has been increasing interest in understanding how the hippocampus dynamically supports these functions. One of the lingering questions is how to reconcile the seemingly disparate cytoarchitectonic organization, which favors a dorsal-ventral layering, with the neurofunctional topography, which has strong support for longitudinal axis (anterior-posterior) and medial-lateral orientation. More recently, meta-analytically driven (e.g., big data) approaches have been employed, however, the question remains whether they are sensitive to important task-specific features such as context, cognitive processes recruited, or the type of stimulus being presented. Here, we used hierarchical clustering on functional magnetic resonance imaging (fMRI) data acquired from healthy individuals at 7T using a battery of tasks that engage the hippocampus to determine whether stimulus or task features influence cluster profiles in the left and right hippocampus. Our data suggest that resting state clustering appears to favor the cytoarchitectonic organization, while task-based clustering favors the neurofunctional clustering. Furthermore, encoding tasks were more sensitive to stimulus type than were recognition tasks. Interestingly, a face-name paired associate task had nearly identical clustering profiles for both the encoding and recognition conditions of the task, which were qualitatively morphometrically different than simple encoding of words or faces. Finally, corroborating previous research, the left hippocampus had more stable cluster profiles compared to the right hippocampus. Together, our data suggest that task-based and resting state cluster profiles are different and may account for the disparity or inconsistency in results across studies.

Indexed as

7TclusteringconnectivityfMRIhierarchical clusteringmemorytopography

Identifiers

PMID34790106
PMCPMC8592061

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.