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Hinzen, W.

Publications and source records attributed to Hinzen, W..

3 recordsLinked to original sources

Disorganization impairs cognitive maps built from visual inputs

Background and HypothesisCognitive disorganization is a core disturbance across the psychosis spectrum, characterized by difficulties integrating perceptual information into coherent representations. How such disturbances affect the construction of internal cognitive maps remains unclear. A key question is whether these maps emerge from visual input as readily as from language structure. We hypothesized that cognitive disorganization would impair cognitive maps derived from visual input while sparing performance when structure was provided linguistically. Study DesignParticipants with varying schizotypy learned food items associated with two attributes: who consumed the food (age group) and when it was consumed (time of day). These attributes were presented as images or language descriptions and organized in a two-dimensional (2D) conceptual space. Participants then completed similarity judgment and reward-learning tasks requiring inference of the underlying relational structure. Study ResultsAmong individuals with higher cognitive disorganization, 2D distances were less predictive of similarity judgments, but only when relational structure had to be inferred from visual input. In the reward-learning task, computational modeling indicated that decisions were guided by spatial representations (Gaussian process). Higher cognitive disorganization was associated with weakened spatial generalization when structure had to be inferred from visual input, but not when it was provided through language. ConclusionsCognitive disorganization disrupts the ability to build and use cognitive maps from visual input, while performance appeared preserved when structure was conveyed through language. These findings support the shallow cognitive map hypothesis and suggest that cognitive disorganization selectively disrupts the transformation of perceptual input into stable relational representations.

neuroscience↗

Brain function in language and associated networks in non- or minimally verbal children

Language is universal in humans, develops robustly in infancy, and is rarely absent entirely in aphasia following strokes. Non- or minimally verbal children, in whom language has not developed by school-age in either production or comprehension, thus provide an unparalleled window into the human brain when it is deprived of language function. Yet insights from functional MRI are absent. Here we report results from a first study of intrinsic connectivity in 9 non- or minimally verbal children with autism spectrum disorder (nvASD) scanned under sedation with propofol along with 8 typically developing children (scanned awake), using resting-state (rs) fMRI. We targeted both functional (FC) and anatomically constrained, generative effective connectivity (GEC) in the speech and language networks, the insula and associated networks, and the hippocampus. Identical analyses were applied to an independent rsMRI dataset of healthy adults scanned both under propofol and while awake, to evaluate sedation confounds. NvASDs compared to their neurotypical peers showed a widespread pattern of hypoconnectivity in auditory speech perception, frontotemporal, and semantic processing regions, which extended further to the insula, and the hippocampus. GEC results selectively replicated these patterns, which correlated with autism diagnostic observation schedule (ADOS) behavioral scores within the nvASD group. This hypoconnectivity pattern extended neither to the adults scanned under propofol, nor to the visual cortex used as control region in nvASD, suggesting that this pattern of results could not be explained by sedation. Together, this first evidence from intrinsic connectivity reveals a broad pattern of underconnectivity across key cognitive networks, which provides a neural correlate for the significant breakdown of language-related cognitive functions in this population.

neuroscience↗

Changes in the structure of spontaneous speech predict the disruption of hierarchical brain organization in first-episode psychosis

Psychosis implicates changes across a broad range of cognitive functions. These functions are cortically organized in the form of a hierarchy ranging from primary sensorimotor (unimodal) to higher-order association cortices, which involve functions such as language (transmodal). Language has long been documented as undergoing structural changes in psychosis. We hypothesized that these changes as revealed in spontaneous speech patterns may act as readouts of alterations in the configuration of this unimodal-to-transmodal axis of cortical organization in psychosis. Results from 29 patients with first-episodic psychosis (FEP) and 29 controls scanned with 7T resting-state fMRI confirmed a compression of the cortical hierarchy in FEP, which affected metrics of the hierarchical distance between the sensorimotor and default mode networks, and of the hierarchical organization within the semantic network. These organizational changes were predicted by graphs representing semantic and syntactic associations between meaningful units in speech produced during picture descriptions. These findings unite psychosis, language, and the cortical hierarchy in a single conceptual scheme, which helps to situate language within the neurocognition of psychosis and opens the clinical prospect for mental dysfunction to become computationally measurable in spontaneous speech.

neuroscience↗