IRCCS San Raffaele Scientific Institute
Neuroimaging Research Unit, Division of Neuroscience

Presenter of 1 Presentation

TASK-FREE FUNCTIONAL NETWORKS RELATED TO EMOTION PROCESSING IN FTLD

Session Type
SYMPOSIUM
Date
Wed, 16.03.2022
Session Time
04:15 PM - 06:15 PM
Room
ONSITE: 133-134
Lecture Time
04:30 PM - 04:45 PM
Presenter

Abstract

Aims

To investigate the relationship between emotion processing and resting state-functional connectivity (RS-FC) in healthy controls and in patients with frontotemporal lobar degeneration (FTLD).

Methods

We recruited 80 FTLD (26 bvFTD, 10 PSP, 12 PPA, and 32 ALS) and 65 healthy controls. Participants underwent a RS-functional MRI (RS-fMRI) and the Comprehensive Affect Testing System. In each group, correlation models were performed between each emotion construct and RS-FC changes.

Results

A high performance at the emotion naming was related in controls with decreased RS-FC of the right inferior temporal gyrus within the right frontoparietal-network; and in FTLD patients with increased RS-FC of the frontal regions within salience, frontoparietal and executive-control networks. Furthermore, a high performance at the emotion differentiation was related in healthy controls with decreased RS-FC of the right middle temporal gyrus within the salience-network; and in FTLD patients with increased RS-FC of the left inferior and medial-orbitofrontal gyri, and right thalamus within the subcortical-network. Finally, a high performance at the emotion matching was related in both healthy controls and FTLD groups with increased RS-FC of precuneus and vermis within the visual-network, and with further increased RS-FC of bilateral lingual, middle temporal and calcarine gyri in FTLD group only.

Conclusions

In FTLD compared to controls, RS-FC associated with emotional performance involves a larger number of brain regions, which are linked to the disease development and progression. These findings offer new potential markers for detecting functional vulnerability linked to social interactions.

Funding: Italian Ministry of Health (GR-2013-02357415); European Research Council (StG-2016_714388_NeuroTRACK).

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