Evidence map›Paper›PMID 24849118›Full record

ReviewDer Nervenarzt2014

[Neuroimaging in psychiatry: multivariate analysis techniques for diagnosis and prognosis].

J Kambeitz, N Koutsouleris

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Der Nervenarzt, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

J KambeitzKlinik für Psychiatrie und Psychotherapie, Ludwig-Maximilians Universität München, Nußbaumstr. 7, 80336, München, Deutschland.
N Koutsouleris

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple studies successfully applied multivariate analysis to neuroimaging data demonstrating the potential utility of neuroimaging for clinical diagnostic and prognostic purposes.

objectivesSummary of the current state of research regarding the application of neuroimaging in the field of psychiatry. MATERIAL AND

methodsLiterature review of current studies.

resultsResults of current studies indicate the potential application of neuroimaging data across various diagnoses, such as depression, schizophrenia, bipolar disorder and dementia. Potential applications include disease classification, differential diagnosis and prediction of disease course.

conclusionThe results of the studies are heterogeneous although some studies report promising findings. Further multicentre studies are needed with clearly specified patient populations to systematically investigate the potential utility of neuroimaging for the clinical routine.

Indexed as

Artificial IntelligenceMultivariate AnalysisAlgorithmsBrainComputer SimulationData Interpretation, StatisticalHumansImage Interpretation, Computer-AssistedMental DisordersModels, StatisticalNeuroimagingPattern Recognition, AutomatedReproducibility of ResultsSensitivity and Specificity

Identifiers

What OpenQuestion holds

Textmetadata
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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.