Evidence map›Paper›PMID 33985346›Full record

ArticleThe Journal of neuropsychiatry and clinical neurosciences2021

Developing Precision Invasive Neuromodulation for Psychiatry.

Nicholas L Bormann, Nicholas T Trapp, Nandakumar S Narayanan, Aaron D Boes

Open access · greenAbstract read
In one paragraph

Article in The Journal of neuropsychiatry and clinical neurosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 7 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

4 authors at 1 institution in 1 country.

Nicholas L BormannDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City (Bormann, Trapp); Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, Calif. (Trapp); Department of Neurology, University of Iowa Carver College of Medicine (Narayanan); and Departments of Neurology, Psychiatry, and Pediatrics, University of Iowa Carver College of Medicine (Boes).
Nicholas T TrappDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City (Bormann, Trapp); Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, Calif. (Trapp); Department of Neurology, University of Iowa Carver College of Medicine (Narayanan); and Departments of Neurology, Psychiatry, and Pediatrics, University of Iowa Carver College of Medicine (Boes).
Nandakumar S NarayananDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City (Bormann, Trapp); Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, Calif. (Trapp); Department of Neurology, University of Iowa Carver College of Medicine (Narayanan); and Departments of Neurology, Psychiatry, and Pediatrics, University of Iowa Carver College of Medicine (Boes).
Aaron D BoesDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City (Bormann, Trapp); Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, Calif. (Trapp); Department of Neurology, University of Iowa Carver College of Medicine (Narayanan); and Departments of Neurology, Psychiatry, and Pediatrics, University of Iowa Carver College of Medicine (Boes).
University of Iowa · US

Funding

Predicting Cognitive Outcomes from Stroke Based on Lesion LocationR01NS114405 · NINDS · UNIVERSITY OF IOWA · PI BOES, AARON D · 2020 to 2024
$2.1M
Investigating the Effects of Transcranial Magnetic Stimulation with Intracranial EEG in HumansR21MH120441 · NIMH · UNIVERSITY OF IOWA · PI BOES, AARON D, OYA, HIROYUKI · 2019 to 2020
$425k
NIMH NIH HHS R21 MH120441NINDS NIH HHS R01 NS114405
6 · The paper itself

Abstract

Psychiatric conditions are common and often disabling. Although great strides have been made in alleviating symptoms with pharmacotherapy and psychotherapeutic approaches, many patients continue to have severe disease burden despite the best therapies available. One of the pervasive challenges to improving treatment is that present diagnostic and therapeutic strategies lag behind our modern conceptualization of the pathophysiology of these disorders. Psychiatric symptoms manifest through activity in specific neural circuits; thus, therapies capable of modulating these circuits are attractive. The investigators reviewed recent advances that facilitate treating medically refractory psychiatric disorders with intracranial neuromodulation in a way that intervenes more directly with the underlying pathophysiology. Specifically, they reviewed the prospects for using intracranial multielectrode arrays to record brain activity with high spatiotemporal resolution and identify circuit-level electrophysiological correlates of symptoms. A causal relationship of circuit electrophysiology to symptoms could then be established by modulating the circuits to disrupt the symptoms. Personalized therapeutic neuromodulation strategies can then proceed in a rational manner with stimulation protocols informed by the underlying circuit-based pathophysiology of the most bothersome symptoms. This strategy would enhance current methods in neurotherapeutics by identifying individualized anatomical targets with symptom-specific precision, circumventing many of the limitations inherent in modern psychiatric nosology and treatment.

Indexed as

Mental DisordersNeurotransmitter AgentsPrecision MedicineBrainHumansNeurophysiologyNeurotransmitter AgentsDeep Brain StimulationEpilepsyMood DisordersNeuromodulationNeurostimulationPsychiatry

Identifiers

PMID33985346
PMCPMC8576850
OpenAlexW3160979524

What OpenQuestion holds

Textmetadata
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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.