Evidence map›Paper›PMID 39562443›Full record

ReviewAdvances in neurobiology2024

Advanced Methodology for Neurophysiological Analysis and Biomarker Development: Time-Frequency and Source-Localization Approaches.

Pejman Sehatpour, Daniel C Javitt

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in neurobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Pejman SehatpourDepartment of Psychiatry, Columbia University Medical Center, New York, NY, USA. ps2723@cumc.columbia.edu.
Daniel C JavittDepartment of Psychiatry, Columbia University Medical Center, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of new treatments for neuropsychiatric disorders requires the development of physiological measures that can accurately translate between preclinical animal models and clinical human studies. Neurophysiological measures, especially event-related potentials (ERP), provide effective physiological read-outs of the flow of information from primary sensory through higher-order associative brain regions and thus can be used to investigate mechanisms underlying cognitive impairments across neuropsychiatric disorders. Traditional "time-domain" event-related potentials (ERP) such as auditory P300 and mismatch negativity or visual P1 and face N170 are increasingly being used in clinical studies for patient stratification, outcome prediction, or target engagement. Nevertheless, time-domain approaches use only a small portion of the information inherent within the event-related EEG signal. Newer, time-frequency (TF-ERP) approaches provide additional information along with improved translational utility and may be especially useful in differentiating activity related to thalamocortical driver versus modulatory inputs, as well as detecting event-related modulations of ongoing EEG power. The utility of the TF-ERP approach may be further enhanced by using source-space analytic approaches, including newer Beamformer approaches which are sensitive to both power within identified brain regions and coherence between brain regions. In addition to supporting the development of novel pharmacological agents, such methods may be guiding personalized, high-definition neuro-modulatory intervention approaches.

Indexed as

BiomarkersBrainElectroencephalographyEvoked PotentialsAnimalsBrain MappingHumansBiomarkers

Identifiers

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.