Evidence map›Paper›PMID 38728902›Full record

ReviewPhysics of life reviews2024

Connectivity analyses for task-based fMRI.

Shenyang Huang, Felipe De Brigard, Roberto Cabeza, Simon W Davis

Abstract readReview
In one paragraph

Review in Physics of life reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Shenyang HuangDepartment of Psychology and Neuroscience, Duke University, Durham, NC 27708, United States; Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, United States. Electronic address: shenyang.huang@duke.edu.
Felipe De BrigardDepartment of Psychology and Neuroscience, Duke University, Durham, NC 27708, United States; Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, United States; Department of Philosophy, Duke University, Durham, NC 27708, United States.
Roberto CabezaDepartment of Psychology and Neuroscience, Duke University, Durham, NC 27708, United States; Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, United States.
Simon W DavisDepartment of Psychology and Neuroscience, Duke University, Durham, NC 27708, United States; Department of Philosophy, Duke University, Durham, NC 27708, United States; Department of Neurology, Duke University School of Medicine, Durham, NC 27708, United States.

Funding

Adaptive Neuromodulation of Working Memory Networks in Aging and DementiaR01AG075417 · NIA · TRUSTEES OF INDIANA UNIVERSITY · PI Simon W Davis · 2022 to 2026
$2.8M
Effects of Healthy Aging and Mild Cognitive Impairment on Memory RepresentationsRF1AG066901 · NIA · DUKE UNIVERSITY · PI CABEZA, ROBERTO · 2021 to 2021
$2.3M
Effects of Healthy Aging and Mild Cognitive Impairment on Memory RepresentationsR01AG066901 · NIA · DUKE UNIVERSITY · PI Roberto Cabeza · 2025 to 2026
$1.5M
NIA NIH HHS R01 AG066901NIA NIH HHS R01 AG075417NIA NIH HHS RF1 AG066901
6 · The paper itself

Abstract

Functional connectivity is conventionally defined by measuring the similarity between brain signals from two regions. The technique has become widely adopted in the analysis of functional magnetic resonance imaging (fMRI) data, where it has provided cognitive neuroscientists with abundant information on how brain regions interact to support complex cognition. However, in the past decade the notion of "connectivity" has expanded in both the complexity and heterogeneity of its application to cognitive neuroscience, resulting in greater difficulty of interpretation, replication, and cross-study comparisons. In this paper, we begin with the canonical notions of functional connectivity and then introduce recent methodological developments that either estimate some alternative form of connectivity or extend the analytical framework, with the hope of bringing better clarity for cognitive neuroscience researchers.

Indexed as

BrainMagnetic Resonance ImagingBrain MappingCognitionHumansNerve NetfMRIFunctional connectivityGraph theoryMultivariate pattern analysisRepresentational similarity analysis

Identifiers

PMID38728902
PMCPMC11116041

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.