Evidence map›Paper›PMID 29673480›Full record

ReviewNeuron2018

Thalamic Reticular Dysfunction as a Circuit Endophenotype in Neurodevelopmental Disorders.

Alexandra Krol, Ralf D Wimmer, Michael M Halassa, Guoping Feng

Abstract readReview
In one paragraph

Review in Neuron, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 3% 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

63 citing papers in PubMed, 1 synthesis or guideline pooled it, 113 citations in OpenAlex.

  1. Pooled it
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  19. Thalamocortical mGlu8 Modulates Dorsal Thalamus Excitatory Transmission and Sensorimotor Activity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  20. Article

3 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

4 authors at 3 institutions in 1 country.

Alexandra KrolMcGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Ralf D WimmerMcGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Michael M HalassaMcGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Electronic address: mhalassa@mit.edu.
Guoping FengMcGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Electronic address: fengg@mit.edu.
Massachusetts Institute of Technology · USBroad Institute · USMcGovern Institute for Brain Research · US

Funding

Dissecting the role of thalamic inhibition in neurodevelopmental diseasesR01NS098505 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FENG, GUOPING, HALASSA, MICHAEL M · 2016 to 2020
$3.2M
The cognitive searchlight: TRN circuit dissection in health and diseaseR01MH107680 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HALASSA, MICHAEL M · 2015 to 2019
$2.5M
Causal examination of TRN role in neocortical spindle generation and functionR00NS078115 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HALASSA, MICHAEL M · 2014 to 2016
$747k
Thalamic reticular nucleus-specific Cre mice for functional interrogationR21MH105779 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HALASSA, MICHAEL M · 2015 to 2016
$467k
NIMH NIH HHS R01 MH107680NIMH NIH HHS R21 MH105779NINDS NIH HHS R00 NS078115NINDS NIH HHS R01 NS098505
6 · The paper itself

Abstract

Diagnoses of behavioral disorders such as autism spectrum disorder and schizophrenia are based on symptomatic descriptions that have been difficult to connect to mechanism. Although psychiatric genetics provide insight into the genetic underpinning of such disorders, with a majority of cases explained by polygenic factors, it remains difficult to design rational treatments. In this review, we highlight the value of understanding neural circuit function both as an intermediate level of explanatory description that links gene to behavior and as a pathway for developing rational diagnostics and therapeutics for behavioral disorders. As neural circuits perform hierarchically organized computational functions and give rise to network-level processes (e.g., macroscopic rhythms and goal-directed or homeostatic behaviors), correlated network-level deficits may indicate perturbation of a specific circuit. Therefore, identifying such correlated deficits or a circuit endophenotype would provide a mechanistic point of entry, enhancing both diagnosis and treatment of a given behavioral disorder. We focus on a circuit endophenotype of the thalamic reticular nucleus (TRN) and how its impairment in neurodevelopmental disorders gives rise to a correlated set of readouts across sleep and attention. Because TRN neurons express several disorder-relevant genes identified through genome-wide association studies, exploring the consequences of different TRN disruptions may be of broad translational significance.

Indexed as

AnimalsEndophenotypesHumansMidbrain Reticular FormationNerve NetNeurodevelopmental DisordersThalamuscircuitendophenotypeneurodevelopmentalpsychiatric disordersthalamic reticular nucleusthalamusTRN

Identifiers

PMID29673480
PMCPMC6886707
OpenAlexW2799489824

What OpenQuestion holds

Textmetadata
LicenceTDM
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.