Evidence map›Paper›PMID 28353416›Full record

ReviewThe neuroradiology journal2017

Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks.

K A Smitha, K Akhil Raja, K M Arun, P G Rajesh, Bejoy Thomas, T R Kapilamoorthy, Chandrasekharan Kesavadas

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in The neuroradiology journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 353 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
353citing papers in PubMed, 9 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.

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

353 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  12. The impact of transcranial direct current stimulation on brain network connectivity and topology in post-stroke cognitive impairment patients: a resting-state fMRI study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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  19. Imaging biomarkers in functional neurological disorders.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
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293 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.

K A Smitha1 Department of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Science and Technology, India.
K Akhil Raja1 Department of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Science and Technology, India.
K M Arun1 Department of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Science and Technology, India.
P G Rajesh2 Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, India.
Bejoy Thomas1 Department of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Science and Technology, India.
T R Kapilamoorthy1 Department of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Science and Technology, India.
Chandrasekharan Kesavadas1 Department of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Science and Technology, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inquisitiveness about what happens in the brain has been there since the beginning of humankind. Functional magnetic resonance imaging is a prominent tool which helps in the non-invasive examination, localisation as well as lateralisation of brain functions such as language, memory, etc. In recent years, there is an apparent shift in the focus of neuroscience research to studies dealing with a brain at 'resting state'. Here the spotlight is on the intrinsic activity within the brain, in the absence of any sensory or cognitive stimulus. The analyses of functional brain connectivity in the state of rest have revealed different resting state networks, which depict specific functions and varied spatial topology. However, different statistical methods have been introduced to study resting state functional magnetic resonance imaging connectivity, yet producing consistent results. In this article, we introduce the concept of resting state functional magnetic resonance imaging in detail, then discuss three most widely used methods for analysis, describe a few of the resting state networks featuring the brain regions, associated cognitive functions and clinical applications of resting state functional magnetic resonance imaging. This review aims to highlight the utility and importance of studying resting state functional magnetic resonance imaging connectivity, underlining its complementary nature to the task-based functional magnetic resonance imaging.

Indexed as

Brain MappingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingRestGraph analysisindependent component analysisresting state functional connectivityseed-based analysis

Identifiers

PMID28353416
PMCPMC5524274

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.