Functional Neuroimaging in Schizophrenia and Cognitive Processes

Functional neuroimaging has transformed our understanding of schizophrenia by revealing how distributed brain networks underpin cognitive dysfunction. Techniques such as functional magnetic resonance imaging (fMRI) allow researchers to map both spontaneous activity at rest and task‐evoked responses during memory, attention and executive challenges. In schizophrenia, altered connectivity within core networks—including the default mode network (DMN), frontoparietal control network and sensorimotor circuits—has been linked to hallmark symptoms such as hallucinations, disorganised thought and deficits in working memory. Converging evidence indicates that patients exhibit both hypo- and hyperconnectivity depending on region and cognitive demand, with failures to appropriately suppress the DMN during tasks contributing to attentional lapses and poor performance. Quantitative metrics of regional synchrony and oscillatory power, such as regional homogeneity (ReHo) and amplitude of low-frequency fluctuation (ALFF), further characterise local aberrations in spontaneous neural activity. Together, these methods offer a multiscale portrait of circuit dysregulation, highlighting potential biomarkers for early identification of psychosis risk and targets for interventions aimed at restoring network balance and improving cognitive outcomes.

Research from Nature Portfolio

Recent studies from high‐impact outlets have underscored the importance of network synchronisation in early psychosis and risk states. One investigation employed regional homogeneity analysis of resting‐state fMRI to distinguish individuals at clinical high risk for psychosis from healthy controls. Abnormal local synchrony in inferior temporal, frontal and striatal regions not only characterised risk status but also achieved high classification accuracy when combined in a machine-learning framework, suggesting potential for early biomarker development. Another study examined default mode network suppression during cognitive tasks in first-episode schizophrenia patients stratified by cognitive performance. Only those with demonstrable cognitive impairment failed to deactivate core DMN nodes—medial prefrontal and posterior cingulate cortices—during working memory, indicating that inefficient network suppression may selectively underlie cognitive deficits rather than representing a uniform feature of the disorder.

Functional Neuroimaging in Schizophrenia and Cognitive Processes publication trend

The graph below shows the total number of articles in functional neuroimaging in schizophrenia and cognitive processes across all publications each year (not limited to Nature Index journals).

Technical terms

Functional magnetic resonance imaging (fMRI): A non-invasive method that measures blood-oxygen-level-dependent signals to infer neural activity.

Resting-state functional connectivity: Statistical correlation of spontaneous fMRI signal fluctuations between brain regions when no task is performed.

Regional homogeneity (ReHo): A voxel-based metric quantifying local synchronisation of neural activity in resting-state fMRI.

Amplitude of low-frequency fluctuation (ALFF): A measure of the intensity of spontaneous low-frequency (0.01–0.08 Hz) oscillations in fMRI time series.

Default mode network (DMN): A set of brain regions more active at rest than during external tasks, involved in self-referential thought and mind-wandering.

Frontoparietal control network (FPN): A distributed network including lateral prefrontal and parietal cortices that supports executive functions and adaptive task control.

References

1. Hypoconnectivity networks in schizophrenia patients: A voxel-wise meta-analysis of Rs-fMRI. International Journal of Clinical and Health Psychology (2023).
2. Abnormal regional homogeneity as potential imaging biomarker for psychosis risk syndrome: a resting-state fMRI study and support vector machine analysis. Scientific Reports (2016).
3. Inefficient DMN Suppression in Schizophrenia Patients with Impaired Cognitive Function but not Patients with Preserved Cognitive Function. Scientific Reports (2016).
4. Amplitude of low-frequency fluctuation (ALFF) may be associated with cognitive impairment in schizophrenia: a correlation study. BMC Psychiatry (2019).
5. Functional Connectivity of Cognitive Brain Networks in Schizophrenia during a Working Memory Task. Frontiers in Psychiatry (2017).