It is suggested that model-based encoding can reveal a frontal-auditory signature in schizophrenia, but this small sample of fMRI recordings does not establish a clinically actionable biomarker or preserved or enhanced speech encoding.
Abstract
Introduction Auditory processing abnormalities are a core feature of schizophrenia and are linked to deficits in speech perception, cognitive function, and everyday communication. It remains unclear which stages of auditory processing are most disrupted and how these disruptions relate to symptoms at the level of population-wide neural representations. Methods We used fMRI recordings acquired while individuals with schizophrenia and matched healthy controls completed a controlled block-design speech-perception task. Voxel-wise encoding models mapped self-supervised speech-model representations, together with complementary acoustic and linguistic features, to neural responses. Results Across cross-validated evaluations, individuals with schizophrenia showed numerically higher encoding alignment than matched controls across all evaluated regions of interest, although no effect survived false discovery rate correction in this small sample. The largest numerical group differences occurred in frontal language regions, including the middle frontal gyrus and dorsomedial prefrontal cortex, and in early auditory cortex. Subgroup analyses suggested that patients without auditory verbal hallucinations drove much of this numerical separation. Discussion These descriptive, hypothesis-generating findings suggest that model-based encoding can reveal a frontal-auditory signature in schizophrenia, but they do not establish a clinically actionable biomarker or preserved or enhanced speech encoding. Larger, adequately powered studies with richer feature spaces are needed for confirmatory inference and to test whether encoding-based measures can serve as clinically meaningful biomarkers.
Auditory Verbal Hallucinations (AVH) are not exclusive to schizophrenia but also occur in other psychiatric disorders, including Borderline Personality Disorder (BPD). While AVH in SZ has been extensively studied, their neurobiological underpinnings in BPD remain poorly understood. Preliminary evidence suggests structu...
Yéléna Le Prieult, Marie-Luise Otte, M. Schmitgen et al.· Brain Structure and Function· 0 citations
Background Auditory verbal hallucinations (AVH) are among the most disabling symptoms of schizophrenia, yet the network-level mechanisms linking auditory dysfunction to hallucination severity remain poorly characterized, limiting targeted therapeutic development. Methods Using resting-state fMRI and high-resolution sur...
Andrew C. Murphy, Antigona Martinez, Ya-Di Chen et al.· bioRxiv· 0 citations
Neural representations of acoustic features that are key to speech perception have been studied extensively within the auditory cortex (AC), but their representations in higher-order cortical regions remain poorly understood. This study investigates the cortical encoding of three acoustic features in spoken vowels to d...
Yong-Tian Ou, K. Kay, A. Oxenham· Journal of Neuroscience· 0 citations
Concurrent EEG-fMRI provides valuable insights into neural and neurovascular disruptions in SCZ, and will require standardization and large-scale, reproducible studies to translate multimodal findings into clinical biomarkers and novel therapies.
F. Carbone, F. Donati, Elena Bondi et al.· Psychiatry research. Neuroim...· 0 citations
Introduction Pattern separation (PS) is a neurocognitive process that is essential for distinguishing highly similar objects from one another. The dentate gyrus has been previously considered the primary anatomical and neurofunctional focus of this central memory process. PS has traditionally been studied in the contex...
Marko Rajkovic, Else Schneider, Marco P. Caviezel et al.· Frontiers in Psychiatry· 0 citations