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Pantis, S.

Publications and source records attributed to Pantis, S..

5 recordsLinked to original sources

Divergent Electrophysiological Responses in the Human Hippocampus During Verbal Memory Processing

The profile of electrophysiological responses in the human hippocampus (HPC) during verbal memory processing has remained complex and unclear. Here, we studied 26 patients implanted with intracranial electrodes across 187 HPC sites (50% left, 2-18 per patient). During memory encoding and retrieval, a subset of HPC responsive sites demonstrated increased ripple events, along with elevated high-frequency (HFA >50 Hz), and low-frequency (LFA 1-8 Hz) activity. A nearly equal number of sites showed no changes in ripple rate but increased LFA power and a delayed response-locked decrease in HFA power. More importantly, both successful encoding as well as recognition of remembered words were strongly associated with the coordination of the timing of LFA and HFA increases across the two clusters of responsive HPC sites. Using direct cortical electrical stimulations, we confirmed overlapping, but partially distinct, cortical connections to the functionally distinct HPC clusters. Our findings suggest a mesoscale mosaic functional organization within the human HPC where adjacent sites with divergent electrophysiological responses may have specialized roles during verbal memory processing. More importantly, our findings suggest that successful human memory depends on the coordination of the timing of low and high frequency local fields generated across these functionally divergent neuronal population sites.

neuroscience↗

Distinct neural temporal architectures encode rapid social expressions and sustained internal mood states

Affective processing operates across multiple temporal scales, from rapid social signaling through facial expressions to sustained internal mood states, yet the neural computational principles governing these different timescales remain unclear. Understanding how the brain implements distinct temporal architectures for momentary versus persistent affective phenomena is important to comprehending emotional processing and developing objective biomarkers for psychiatric conditions. Here, we introduced a multimodal approach combining automated facial expression monitoring and continuous intracranial electroencephalography in 2,037 electrode contacts across 16 epilepsy patients, over multiple days. Of these, 15 and 12 patients met criteria for facial expression and for mood analysis, respectively. Among patients meeting criteria, we captured 1,396 naturalistic smiles, and 3,746 neutral expressions - separated by at least 10 seconds, alongside 336 periodic mood assessments. This paradigm revealed distinct behavioral and neural computational architectures. Aperiodic neural activity in the lateral temporal cortex (79.5% accuracy) encoded facial expressions with high cross-participant generalizability. Mood states, however, showed different encoding patterns. Facial expressions provided no consistent mood indicators across participants. Critically, low-gamma power dynamics in limbic regions encoded mood states in only a subset of individuals (5 of 12 participants) with expression-mood behavioral correlations, suggesting a distinct encoding phenotype. Cross-domain analysis confirmed computational independence: neural features optimized for facial expression decoding failed to predict sustained mood states, and vice versa. These findings suggest that multiple neural mechanisms may influence underlying affective processing, with variations in their contributions between individuals. The results provide a framework for understanding individual differences in neural mood representation and establish methodological approaches for objective measurement of naturalistic affective behaviors.

neuroscience↗

Salient auditory stimuli evoke spatially segregated phasic and sustained neural responses in the human brain

Salient sensory stimuli are known to evoke neural activations across distributed brain regions. However, the temporal dynamics of these responses over sub-second timescales remain poorly understood, in part due to limitations in the temporal resolution of non-invasive neuroimaging methods. We examined the spatiotemporal dynamics of neural activations evoked by salient sensory stimuli (rare sounds) using 1,194 widely distributed intracranial electrodes in 5 neurosurgical patients. Salient stimuli preferentially activated 263 of 1,194 electrodes (22%), with responses segregating into two largely distinct spatiotemporal patterns: (1) phasic activation in sensorimotor regions, and (2) sustained activation within the salience network. Cross-correlation analysis revealed that phasic sensorimotor activation preceded sustained salience network activation on a trial-by-trial basis. These findings support an updated view of salience processing in the human brain, revealing that salient stimuli evoke two sequential stages of neural activation--phasic sensorimotor responses followed by sustained salience network activity--rather than simultaneous widespread activation.

neuroscience↗

Human Mediodorsal Thalamus in Seizure Propagation

BackgroundHow different thalamic sites are recruited during seizure propagation remains poorly understood. Simultaneous recordings from multiple thalamic sites in patients with focal seizures provide a rare opportunity to investigate the spatiotemporal pattern of thalamic involvement during human epilepsy. ObjectiveTo characterize the recruitment patterns of mediodorsal (MD) thalamic subregion during seizures and their generalization to the contralateral hemisphere. MethodsWe analyzed 119 seizures from 23 patients (12 male, age range: 20-57y) undergoing multisite thalamic recordings. In accordance with current clinical standards, we determined the spatial and temporal features of thalamic seizure activity by visually reviewing intracranial EEG recordings from different seizure types in each individual patient. ResultsThe procedure of multisite thalamic recordings had no complications. In total, we captured seizures originating from temporal lobes (63%), orbitofrontal (11%), frontotemporal (8%), occipital (8%), lateral frontal (4%), parietal (3%), and cingulate (2%) regions. Seizures were focal (76% in 21 patients), focal-to-bilateral tonic-clonic (FBTC, 9% in nine patients), or only electrographic (15% in six patients). Thalamic engagement was seen in 100% of patients occurring typically early during seizure evolution (83% within 15 seconds of seizure onset). Majority of FBTC seizures (73%) had faster thalamic recruitment, often within the first 5 seconds. The pulvinar (PLV) subregion was the most common first-activated thalamic site, particularly in temporal lobe seizures. Although the MD was involved in most seizures (88.2%), it was rarely the initial or sole thalamic structure engaged and more often followed anterior (ANT) and/or PLV sites. Contralateral propagation occurred in 66% of seizures and was strongly linked to MD involvement: the ipsilateral and contralateral MDs were engaged in about 95% of these cases. When ipsilateral MD engagement was absent, contralateral spread of seizures was uncommon. In majority of seizures (60%) that generalized to the contralateral hemisphere, the ipsilateral MD was involved before or simultaneously with the contralateral cortical sites. Importantly, seizures that first activated the MD originated mainly from the medial temporal lobes, whereas those spreading primarily to the contralateral cortex were mostly neocortical in onset. ConclusionsThe thalamic MD subregion was often involved after the other thalamic sites, but the MD sites, along with the massa intermedia connecting the two thalami, were significantly involved when seizures spread to contralateral hemisphere. Our findings suggest that a single thalamic lead capturing both MD subregions may yield important clinical information about laterality, origin, and generalization of seizures.

neuroscience↗

Electrophysiological Brain Connectivity and Subjective States Evoked by Electrical Stimulation of the Human Mediodorsal Thalamus

Recent advances in human intracranial EEG (iEEG) have enabled new investigations into the role of the thalamus in human brain functions. In this study, we applied direct intracranial electrical stimulation (iES) to the mediodorsal (MD) subregion of the thalamus using both high-frequency (50 Hz, iESHF) and low-frequency (0.5 Hz, iESLF) procedures to examine its impact on conscious experience and causal brain connectivity in 30 patients with focal refractory epilepsy (128 electrode contacts; 4 {+/-} 1 MD sites per patient). iESHF of the MD elicited reportable changes in conscious experience in 11 of 12 patients (39 sites; 83 stimulations across 27 unique pairs) - predominantly in the visceral, emotional, or somatosensory domains and often described as unpleasant without any lateralization effect. Our connectivity analyses based on iESLF revealed that the cingulate and insular cortices produced stronger electrophysiological responses in the MD (inflow connectivity) than did the sites in the prefrontal cortex (PFC) within the same individuals. Moreover, MD stimulation showed its strongest outflow connectivity to the cingulate, insular, and PFC regions, all significantly stronger than to medial temporal lobe (MTL) structures. Notably, inflow from both MTL and insula sites to the MD were significantly stronger than their reverse directions, indicating clear asymmetry in connectivity. These findings provide direct evidence that stimulation of the human thalamus can modulate conscious experience. They also highlight the extensive bidirectional connectivity between the MD and cingulate and insular cortices along with asymmetric connectivity between the MD and MTL and insula sites in the human brain. SIGNIFICANCE STATEMENTOur findings provide a functional and causal map of the mediodorsal thalamus (MD) in the human brain. We provide direct evidence that stimulation of the human thalamus can modulate conscious experience. This study also holds clinical and translational value for identifying thalamic pathways involved in the propagation and generalization of seizures, especially seizures involving the medial temporal lobe, as well as for neuromodulation in epilepsy and other neuropsychiatric disorders, as MD stimulation may not be well-tolerated in human subjects.

neuroscience↗