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Network-based statistics distinguish anomic and Broca aphasia.

Xingpei Zhao¹, Nicholas Riccardi², Dirk-Bart den Ouden³

¹Department of Epidemiology and Biostatistics, University of South Carolina.

|February 17, 2023

Summary

This study reveals distinct brain network differences in individuals with Broca aphasia and anomic aphasia. A specific subnetwork involving motor and auditory regions showed weaker connections in Broca aphasia, explaining speech difficulties.

Keywords:

Aphasia Brain network model Lesion symptom mapping fMRI

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Area of Science:

Neuroscience
Neurolinguistics

Background:

Aphasia, a speech-language disorder, arises from left hemisphere damage, with neural underpinnings of varied symptoms remaining unclear.
Understanding distinct neural mechanisms is crucial for differentiating aphasia types like anomic and Broca aphasia.

Approach:

Employed network-based statistic (NBS) to compare resting-state functional networks between anomic and Broca aphasia groups.
Identified a specific subnetwork differentiating the two groups, focusing on brain regions in motor, auditory, and sensory cortices across both hemispheres.

Key Points:

A distinct subnetwork, involving premotor, motor, auditory, and sensory cortices, differentiated anomic and Broca aphasia groups.
This subnetwork exhibited weaker connections in the Broca group compared to the anomic group.
Network analysis highlighted bilateral superior temporal gyrus/auditory cortex interaction and left hemisphere motor/premotor cortex roles in information flow.

Conclusions:

Findings correlate with articulatory deficits and reduced repetition in Broca aphasia, not typically seen in anomic aphasia.
Identified a differentiating subnetwork, offering a network-level perspective beyond isolated lesion-symptom mapping.
Provides novel insights into resting-state brain network distinctions between anomic and Broca aphasia.