Evidence map›Paper›PMID 39648650›Full record

ArticleCNS neuroscience & therapeutics2024

Utilizing Centromedian Thalamus Connectivity to Personalize Noninvasive Neuromodulation Targets.

Cong Fu, Zijian Feng, Qiu Ge, Juan Yue, Yu-Feng Zang, Guoming Luan

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Article in CNS neuroscience & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Cong FuDepartment of Neurosurgery, Epilepsy Center, Sanbo Brain Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-8937-3326
Zijian FengTranscranial Magnetic Stimulation Center, Deqing Hospital of Hangzhou Normal University, Deqing, Zhejiang, China.
Qiu GeCenter for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
Juan YueTranscranial Magnetic Stimulation Center, Deqing Hospital of Hangzhou Normal University, Deqing, Zhejiang, China.
Yu-Feng ZangTranscranial Magnetic Stimulation Center, Deqing Hospital of Hangzhou Normal University, Deqing, Zhejiang, China.ORCID 0000-0003-1833-8010
Guoming LuanDepartment of Neurosurgery, Epilepsy Center, Sanbo Brain Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-5084-2458

Funding

Capital Health Research and Development of Special Fund 2022-1-8011Medical and Health Research Project of Zhejiang Province 2023XY042
6 · The paper itself

Abstract

introductionThe centromedian nucleus (CM) of the thalamus is essential for arousal, attention, sensory processing, and motor control. Neuromodulation targeting CM dysfunction has shown efficacy in various neurological disorders. However, its individualized precise transcranial magnetic stimulation (TMS) remains unreported. Using resting-state functional MRI, we mapped CM-based functional connectivity (CM-FC) to develop a personalized TMS scheme for neurological conditions.

methodsWe first analyzed the CM-FC patterns of healthy subjects via 10 scanning sessions in three MRI scanners spanning two subject groups: one from the Human Connectome Project (n = 20, four sessions) dataset and the other from Hangzhou Normal University (n = 20, three sessions of 3 T MRI and three sessions of 1.5 T MRI). Pearson's correlation was used for CM-FC evaluation. Then, we proposed an overlapping index ranging from 1 to 10, and group-level clusters with the highest overlapping index located 4 cm beneath the scalp were identified. In the individual CM-FC map, watershed image segmentation was used to obtain an individual cluster. The peak voxel with the highest FC value within the individual cluster was defined as a potential individualized target for future TMS.

resultsThe spatial FC patterns were remarkably similar between the left and right CMs. CMs have widespread positive connectivity with cortical areas, including the sensorimotor cortex, supplementary motor area, middle frontal cortex, medial temporal cortex, and middle cingulate. Among the group-level FC patterns of the left and right CMs, only the left CM had a group cluster in the left primary sensorimotor cortex (PSMC, cluster size = 51) with an overlapping index of 10, that is, 10 sessions showed significant CM-FC.

conclusionsThe left PSMC exhibited reproducible FC with the left CM. The individual peak FC location in the left PSMC could be used as a TMS target for indirect modulation of CM activity and aid in the treatment of CM-related neurological disorders.

Indexed as

ConnectomeIntralaminar Thalamic NucleiMagnetic Resonance ImagingTranscranial Magnetic StimulationAdultFemaleHumansMaleNeural PathwaysYoung Adultcentromedian nucleus of the thalamusfunctional connectivityresting‐state fMRItranscranial magnetic stimulation

Identifiers

PMID39648650
PMCPMC11625913

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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.