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Turco, F.

Publications and source records attributed to Turco, F..

2 recordsLinked to original sources
bioRxiv2026

Exploring the sensitivity limits of neuronal current imaging with MRI and MEG in the human brain

IntroductionConventional BOLD-fMRI relies on hemodynamic responses that are temporally and spatially indirect markers of neural activity. Developing alternative contrasts, sensitive to neuroelectrical phenomena, is a critical challenge in brain imaging. Spin-lock (SL) fMRI has shown promise in phantom studies for detecting magnetic field changes associated with neuronal activity, but its in-vivo sensitivity and practicality remain unclear. This study evaluated whether SL contrast can effectively detect and localize human neuronal activation, benchmarked against complementary functional modalities, magnetoencephalography (MEG) and 3T BOLD-fMRI, to assess the sensitivity of MR-based neuronal current imaging. MethodsThirteen healthy young volunteers underwent SL-based imaging during 8 Hz visual stimulation, along with BOLD and MEG acquisitions. Subjects viewed quadrant-checkerboard stimuli to elicit localized cortical responses. Two balanced SL contrast mechanisms, rotary excitation (REX) and stimulus-induced rotary saturation (SIRS), were employed. Postprocessing targeted stimulus-locked signal fluctuations using a regression-filtering-rectification strategy. Phantom experiments tested sensitivity and analysis pipeline performance. ResultsMEG revealed robust stimulus-locked responses in occipital cortex, with estimated local magnetic field amplitudes of [~]0.07 nT. Conventional BOLD-fMRI confirmed reliable hemodynamic activation. In contrast, neither balanced REX nor balanced SIRS produced consistent stimulus-related activation in vivo. Phantom experiments subsequently yielded detection thresholds of 0.2 nT for REX and 0.6 nT for SIRS, exceeding the MEG-estimated physiological field amplitudes. ConclusionsUnder the present experimental conditions, the tested spin-lock fMRI implementations did not achieve sufficient sensitivity for reliable in-vivo detection of neuronal magnetic fields at 3T. Phantom and MEG-based estimates indicate that physiological field amplitudes in the visual cortex lie below current detection limits. These findings establish quantitative constraints on direct neuronal current imaging with MRI and provide a benchmark for future methodological developments aimed at bridging electrophysiology and functional MRI. Key pointsO_LIWe assessed spin-lock fMRI sensitivity using combined SL-fMRI, BOLD-fMRI, MEG, and phantom measurements during visual stimulation. C_LIO_LIMEG and BOLD-fMRI confirmed robust neuronal and hemodynamic activation in the visual cortex. C_LIO_LISL-fMRI did not achieve reliable in-vivo detection of neuronal magnetic fields; phantom sensitivity limits exceeded MEG-estimated physiological field amplitudes. C_LI

neuroscience↗
bioRxiv2026

Impaired Associative Memory, Inference, and Theta Dynamics in Postictal Psychosis of Epilepsy

Postictal psychosis (PIP) is a severe complication occurring in 2% of people with epilepsy (PWE) whose underlying pathophysiology remains poorly understood. Although historically considered separate from other forms of psychosis, newer evidence demonstrates a shared genetic susceptibility. People with schizophrenia are typically impaired at both associative learning and inferring connections between overlapping associations. Successful associative encoding, retrieval, and inference can each be predicted by changes in frontotemporal theta band activity, which is impaired in rodent models and people with schizophrenia. Here, we recorded high-density scalp EEG from PWE with history of PIP and well-matched control participants while they undertook a memory inference task. We found that associative memory and inference were both impaired in the PIP group, despite no difference in item recognition. Moreover, we found disrupted theta activity during memory encoding and the retrieval of inferred associations in PWE with PIP that likely originated from the medial temporal and frontal lobes. These results suggest a pattern of behavioural deficits and altered neural dynamics common to both PIP and schizophrenia. Interpreted in conjunction with previous genetic studies, they may reflect shared neural mechanisms contributing to psychopathology in both conditions and argue that PIP is a model of more general psychoses.

neuroscience↗