Multiple-brain systems dynamically interact during tonic and phasic states to support language integrity in temporal...

Area of Science:

• Neuroscience
• Cognitive Science
• Epilepsy Research

Background:

• Temporal lobe epilepsy (TLE) can disrupt language functions due to lesions in dominant language areas.
• The brain may reorganize language systems to compensate for these deficits.
• Interactions between language networks and non-language (NL) systems are vital for cognitive functions, including language.

Purpose of the Study:

• To investigate the compensatory reorganization of language networks in left temporal lobe epilepsy (TLE).
• To examine the dynamic interactions between language (L) and non-language (NL) networks during rest and a language task in TLE patients.
• To understand how these network interactions relate to language competency in TLE.

Main Methods:

• Applied dynamic network neuroscience tools to functional MRI data from 23 TLE patients and 23 controls.
• Analyzed resting-state (RS) and sentence completion (SC) task data to capture network dynamics.
• Investigated interactions between language networks and dorsal attention (DAN), fronto-parietal (FPN), and cingulo-opercular (COpN) networks.

Main Results:

• Evidence of dynamic interactions between core language areas and NL functional networks during linguistic tasks.
• Abnormal integrations between language and the dorsal attention network (DAN) were found in TLE patients during both resting and task states.
• Baseline integrations between language and NL systems (e.g., DAN, FPN) influenced task-based L/NL integrations, a finding also observed in healthy individuals.
• Task-based L/NL integrations predicted language competency in TLE, suggesting a compensatory role for patients with lower language skills.

Conclusions:

• Resting-state (RS) network configurations prime interactions for task performance, but their utilization in TLE depends on language skill level.
• Dynamic network reconfigurations between multiple brain systems play a compensatory role in maintaining language skills during complex tasks in TLE.
• Analysis highlighted intra- and inter-system communication critical for language processing and competency in TLE, underscoring the role of dynamic multi-system support.