Evidence map›Paper›PMID 32276065›Full record

ReviewNeuroImage2020

Idiosynchrony: From shared responses to individual differences during naturalistic neuroimaging.

Emily S Finn, Enrico Glerean, Arman Y Khojandi, Dylan Nielson, Peter J Molfese, Daniel A Handwerker, Peter A Bandettini

Registry-linked trialAbstract readReview
In one paragraph

Review in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07650994 (Naturalistic Neuroimaging for Neurosurgical Brain Mapping), which is not on this map. Cited by 154 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
154citing papers in PubMed, 1 pooled it
–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.

NCT07650994 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Naturalistic Neuroimaging for Neurosurgical Brain Mapping

TypeinterventionalSponsorBrigham and Women's HospitalRan2026 to 2029Enrolled90ConditionsGlioma, Brain Tumor AdultArmsFunctional magnetic resonance imaging (fMRI), Neuropsychological Assessments
3 · Its place in the literature

Who cites it

154 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Dyadic Person Similarity Predicts Similarity in Face Judgements.Quarterly journal of experimental psychology (2006) · 2026
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94 more citing papers are in PubMed but not listed here.

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.

Emily S FinnSection on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, USA. Electronic address: emily.finn@nih.gov.
Enrico GlereanDepartment of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland.
Arman Y KhojandiSection on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, USA.
Dylan NielsonMood Brain & Development Unit, National Institute of Mental Health, Bethesda, MD, USA.
Peter J MolfeseSection on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, USA.
Daniel A HandwerkerSection on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, USA.
Peter A BandettiniSection on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, USA.

Funding

Functional MRI Method DevelopmentZIAMH002783 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BANDETTINI, PETER · 2009 to 2025
$38.4M
Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Linking brain activity during naturalistic tasks to individual phenotypes on the depression spectrumR00MH120257 · NIMH · DARTMOUTH COLLEGE · PI FINN, EMILY SUZANNE · 2020 to 2022
$747k
Intramural NIH HHS ZIA MH002783NIMH NIH HHS R00 MH120257NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

Two ongoing movements in human cognitive neuroscience have researchers shifting focus from group-level inferences to characterizing single subjects, and complementing tightly controlled tasks with rich, dynamic paradigms such as movies and stories. Yet relatively little work combines these two, perhaps because traditional analysis approaches for naturalistic imaging data are geared toward detecting shared responses rather than between-subject variability. Here, we review recent work using naturalistic stimuli to study individual differences, and advance a framework for detecting structure in idiosyncratic patterns of brain activity, or "idiosynchrony". Specifically, we outline the emerging technique of inter-subject representational similarity analysis (IS-RSA), including its theoretical motivation and an empirical demonstration of how it recovers brain-behavior relationships during movie watching using data from the Human Connectome Project. We also consider how stimulus choice may affect the individual signal and discuss areas for future research. We argue that naturalistic neuroimaging paradigms have the potential to reveal meaningful individual differences above and beyond those observed during traditional tasks or at rest.

Indexed as

IndividualityMotion PicturesBrainConnectomeHumansMagnetic Resonance ImagingNeuroimagingPhotic StimulationBehaviorfMRIIndividual differencesInter-subject correlationNaturalisticRepresentational similarity analysis

Identifiers

PMID32276065
PMCPMC7298885

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.