Your browser doesn't support javascript.
loading
Structure-function interrelationships and associated neurotransmitter profiles in drug-naïve benign childhood epilepsy with central-temporal spikes patients.
Chen, Duoli; Liu, Chengxiang; Wang, Fuqin; Li, Pengyu; Wei, Zi; Nie, Dingxin; Liu, Peng; Liu, Heng.
Affiliation
  • Chen D; School of Life Science and Technology, Xidian University, Xi'an, China.
  • Liu C; Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, China.
  • Wang F; School of Life Science and Technology, Xidian University, Xi'an, China.
  • Li P; Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, China.
  • Wei Z; Department of Radiology, The Affiliated Hospital of Zunyi Medical University, Zunyi, China.
  • Nie D; School of Life Science and Technology, Xidian University, Xi'an, China.
  • Liu P; Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, China.
  • Liu H; School of Life Science and Technology, Xidian University, Xi'an, China.
Eur Radiol ; 2024 Jul 16.
Article in En | MEDLINE | ID: mdl-39009880
ABSTRACT

OBJECTIVES:

To explore the interrelationships between structural and functional changes as well as the potential neurotransmitter profile alterations in drug-naïve benign childhood epilepsy with central-temporal spikes (BECTS) patients.

METHODS:

Structural magnetic resonance imaging (sMRI) and resting-state functional MRI data from 20 drug-naïve BECTS patients and 33 healthy controls (HCs) were acquired. Parallel independent component analysis (P-ICA) was used to identify covarying components among gray matter volume (GMV) maps and fractional amplitude of low-frequency fluctuations (fALFF) maps. Furthermore, we explored the spatial correlations between GMV/fALFF changes derived from P-ICA and neurotransmitter maps in JuSpace toolbox.

RESULTS:

A significantly positive correlation (p < 0.001) was identified between one structural component (GMV_IC6) and one functional component (fALFF_IC4), which showed significant group differences between drug-naïve BECTS patients and HCs (GMV_IC6 p < 0.01; fALFF_IC4 p < 0.001). GMV_IC6 showed increased GMV in the frontal lobe, temporal lobe, thalamus, and precentral gyrus as well as fALFF_IC4 had enhanced fALFF in the cerebellum in drug-naïve BECTS patients compared to HCs. Moreover, significant correlations between GMV alterations in GMV_IC6 and the serotonin (5HT1a p < 0.001; 5HT2a p < 0.001), norepinephrine (NAT p < 0.001) and glutamate systems (mGluR5 p < 0.001) as well as between fALFF alterations in fALFF_IC4 and the norepinephrine system (NAT p < 0.001) were detected.

CONCLUSION:

The current findings suggest co-altered structural/functional components that reflect the correlation of language and motor networks as well as associated with the serotonergic, noradrenergic, and glutamatergic neurotransmitter systems. CLINICAL RELEVANCE STATEMENT The relationship between anatomical brain structure and intrinsic neural activity was evaluated using a multimodal fusion analysis and neurotransmitters which might provide an important window into the multimodal neural and underlying molecular mechanisms of benign childhood epilepsy with central-temporal spikes. KEY POINTS Structure-function relationships in drug-naïve benign childhood epilepsy with central-temporal spikes (BECTS) patients were explored. The interrelated structure-function components were found and correlated with the serotonin, norepinephrine, and glutamate systems. Co-altered structural/functional components reflect the correlation of language and motor networks and correlate with the specific neurotransmitter systems.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2024 Document type: Article Affiliation country: China Country of publication: Alemania

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2024 Document type: Article Affiliation country: China Country of publication: Alemania