Evidence map›Paper›PMID 26294642›Full record

ArticleAJNR. American journal of neuroradiology2015

Seizure Frequency Can Alter Brain Connectivity: Evidence from Resting-State fMRI.

R D Bharath, S Sinha, R Panda, K Raghavendra, L George, G Chaitanya, A Gupta, P Satishchandra

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
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

16 citing papers in PubMed, 32 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

R D BharathFrom the Departments of Neuroimaging and Interventional Radiology (R.D.B., R.P., L.G., A.G.) Advanced Brain Imaging Facility (R.D.B., R.P.), Cognitive Neuroscience Center, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, India.
S SinhaNeurology (S.S., K.R., G.C., P.S.).
R PandaFrom the Departments of Neuroimaging and Interventional Radiology (R.D.B., R.P., L.G., A.G.) Advanced Brain Imaging Facility (R.D.B., R.P.), Cognitive Neuroscience Center, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, India.
K RaghavendraNeurology (S.S., K.R., G.C., P.S.).
L GeorgeFrom the Departments of Neuroimaging and Interventional Radiology (R.D.B., R.P., L.G., A.G.).
G ChaitanyaNeurology (S.S., K.R., G.C., P.S.).
A GuptaFrom the Departments of Neuroimaging and Interventional Radiology (R.D.B., R.P., L.G., A.G.).
P SatishchandraNeurology (S.S., K.R., G.C., P.S.) drpsatishchandra@yahoo.com cns.researchers@gmail.com.
Cognitive Neuroimaging Lab · FRNational Institute of Mental Health and Neurosciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe frequency of seizures is an important factor that can alter functional brain connectivity. Analysis of this factor in patients with epilepsy is complex because of disease- and medication-induced confounders. Because patients with hot-water epilepsy generally are not on long-term drug therapy, we used seed-based connectivity analysis in these patients to assess connectivity changes associated with seizure frequency without confounding from antiepileptic drugs. MATERIALS AND

methodsResting-state fMRI data from 36 patients with hot-water epilepsy (18 with frequent seizures [>2 per month] and 18 with infrequent seizures [≤2 per month]) and 18 healthy age- and sex-matched controls were analyzed for seed-to-voxel connectivity by using 106 seeds. Voxel wise paired t-test analysis (P < .005, corrected for false-discovery rate) was used to identify significant intergroup differences between these groups.

resultsConnectivity analysis revealed significant differences between the 2 groups (P < .001). Patients in the frequent-seizure group had increased connectivity within the medial temporal structures and widespread areas of poor connectivity, even involving the default mode network, in comparison with those in the infrequent-seizure group. Patients in the infrequent-seizure group had focal abnormalities with increased default mode network connectivity and decreased left entorhinal cortex connectivity.

conclusionsThe results of this study suggest that seizure frequency can alter functional brain connectivity, which can be visualized by using resting-state fMRI. Imaging features such as diffuse network abnormalities, involvement of the default mode network, and recruitment of medial temporal lobe structures were seen only in patients with frequent seizures. Future studies in more common epilepsy groups, however, will be required to further establish this finding.

Indexed as

AdolescentAdultBrain MappingEarly DiagnosisEpilepsy, Complex PartialEpilepsy, ReflexFemaleHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNerve NetNeuronal PlasticityRecurrenceSeizures

Identifiers

PMID26294642
PMCPMC7965029
OpenAlexW1808239140

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Registered trials

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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.