Cerebral Cortex

The P300 event-related potential is a core index of attention and context updating, but the trial-by-trial factors that shape its amplitude remain incompletely characterized. Within-trial root mean square (RMS) amplitude is often used as a summary of "early activity," yet RMS is algebraically a sum of mean and variance components (RMS{superscript 2} = mean{superscript 2} + variance) and so cannot, on its own, distinguish amplitude-driven from variability-driven coupling. Using single-trial EEG from the ERP CORE auditory oddball dataset (N = 27 retained from 40 after a {+/-}100 {micro}V peak-to-peak rejection criterion; 1,084 trials, 52.2% targets), we decomposed early-window (0-150 ms) activity at Fz and Pz into mean and standard-deviation components and modelled their associations with P300 amplitude (300-600 ms at Pz) using linear mixed-effects regression. Three findings emerge. First, early-window RMS at Fz showed only a small negative association with P300 amplitude ({beta} = -0.074, p = 0.006, marginal R{superscript 2} {approx} 0.01), three times smaller than the originally reported effect and accounting for [~]1% of P300 variance. Second, when RMS was decomposed, the early-window mean amplitude at Fz competed against the within-trial standard deviation; only the mean carried predictive weight, and its sign was positive ({beta} = +0.107, p = 2x10-{square}), the opposite sign of the RMS effect. Third, a per-electrode mixed-effects model identified Pz as the site where early activity was most strongly coupled to the P300, and at Pz the early-window mean was a powerful positive predictor of P300 amplitude ({beta} = +0.568, p < 10-{superscript 1}{square}, marginal R{superscript 2} {approx} 0.31), with a slope similar across target and standard trials and robust to baseline-window subtraction ({beta} = +0.538, p < 10-{superscript 1}{square}). Exploratory information-theoretic complexity measures (permutation entropy, sample entropy, Lempel-Ziv) showed no Bonferroni-significant association. The same-electrode parietal coupling is interpreted as evidence for a continuous parietal generator whose pre-300 ms leading edge is captured by the early window; we therefore frame this as a substantive observation about parietal cortical dynamics rather than a methodological artifact, while acknowledging that it constrains causal inference.

The early development of the prefrontal cortex is crucial for higher cognitive functions. However, current research presents inconsistent findings regarding whether intra-prefrontal connectivity increases or decreases in infants younger than six months. Do dynamic changes in connection strength across different states over time carry information about prefrontal maturation? This study used functional near-infrared spectroscopy (fNIRS) to record prefrontal brain activity in 48 healthy infants aged 1-8 months during natural sleep and auditory stimulation. By analyzing the fluctuations in frequency-domain characteristics of functional connectivity (FC) and various brain network properties, we found that: under auditory stimulation, the intensity of FC fluctuations in the ultra-low frequency range was positively correlated with age; while in the resting state, the fluctuation intensity of network properties in relatively higher frequency bands decreased with age. Furthermore, auditory stimulation reconfigured the energy distribution of network fluctuations, shifting it towards higher frequency bands. These results suggest that the early development of the infant prefrontal internal network is characterized by state-dependent optimization of its dynamic fluctuation properties, shedding light on the developmental tuning of functional network dynamics in infancy.

In task-oriented teams, long-term coordination among specialized roles may contribute to shared patterns of cognition and behavior, yet little is known about how such experience is reflected in brain functional organization. Here, we examined whether cross-individual differences in whole-brain functional connectivity were associated with court position and team membership in professional volleyball players. In the resting-state and naturalistic volleyball game-viewing conditions, we analyzed dyadic functional connectivity differences to test whether effects of shared position and team were evident across intrinsic and contextually engaged brain states, controlling for differences in playing time and performance-related statistics. We found that same-position players showed smaller functional connectivity differences. These effects were most prominent and widespread across brain networks during game viewing, whereas at rest they were specific to the somatomotor network. Team membership was also associated with smaller functional connectivity differences during game viewing, although position x team interactions varied across networks after covariate adjustment. A complementary machine learning classifier further showed that shared position could be predicted from intersubject differences in functional connectivity with accuracy exceeding a frequency-based baseline. Together, these findings suggest that shared role-specific and team-based experience may contribute to structured similarity in functional brain organization within a real-world team setting.

Individual differences in susceptibility to attentional capture may reflect stable differences in large-scale brain organization. Using task-based fMRI (N = 33), we tested whether default mode network (DMN) connectivity predicts distractor interference after spatial probability learning. Participants were exposed to spatial bias applied either to same-dimension distractors (SS group, n = 16) or to different-dimension distractors (DS group, n = 17). DMN connectivity predicted capture specifically for the distractor dimension associated with location learning. Cross-prediction analyses further showed that this relationship generalized across groups for the location-learning but not for the comparison dimensions. Although this asymmetry may partly reflect the greater reliability of the more frequently sampled biased-dimension measure, the overall pattern is consistent with vulnerability expressed in the location-learning context rather than with fixed dimension-specific susceptibility. These findings suggest that DMN connectivity indexes a trait-like vulnerability to learned suppression failure.

The relationship between cortical morphology and intelligence during adolescence has been widely studied, with existing literature reporting varying degrees of association across different modeling approaches. This study provides a comprehensive comparison of model performance in investigating the association between crystallized intelligence and cortical surface area using data from 11,351 subjects in the Adolescent Brain Cognitive Development (ABCD) study. We evaluate ten widely used models ranging from linear regression to graph convolutional networks across three covariate adjustment formulations: full (no adjustment), partial (age and sex adjusted), and total surface area (TSA) partial (age, sex, and TSA adjusted). Using bootstrap resampling with 50 iterations, we estimate the fraction of variance explained (FVE) for each model. Our results suggest that more complex models do not lead to higher FVE, with LASSO having the highest FVE of 15.9% (full formulation), Ridge at 10.5% (partial formulation), and Principal Component Regression (PCR) with 102 PCs at 2.5% (TSA partial formulation). Our results also reveal that the relationship between cortical surface area and crystallized intelligence is predominantly driven by global factors age, sex, and TSA, rather than by localized cortical surface area.

The persistence of a left-handed minority of slightly over 10% of the population is enigmatic because it is associated with stigma, increased psychopathology, and cognitive deficits. In a community sample of 9,352 individuals (age range 8-21 years) with neurobehavioral assessments, left-handers (N=1,281, 673 male) indeed showed greater psychopathology and performed more poorly than right-handers (N=8,076, 3,839 male) on tests of executive function, memory, complex cognition, and social cognition, while excelling in motor speed. Furthermore, the variance was higher and within-individual variability (WIV) - the extent to which scores in the different domains varied within individuals - was higher in left-handers. Since low WIV indicates even distribution of abilities while high WIV reflects specialization in circumscribed areas, the finding indicates that left-handers are "neurocognitive specialists". This combination of behavioral traits could confer resilience against natural selection pressures and help explain preponderance of left-handers in highly specialized professions requiring specific talents. Our findings encourage more research on left-handers, who are currently excluded from multiple brain behavior studies.

Functional connectivity (FC) profiles derived from fMRI and MEG offer complementary perspectives on large-scale brain organization, while showing reasonable correspondence at the population-average level. However, how their individual variability relates between these modalities remains unclear. Using the Cam-CAN dataset, we derived neural fingerprints from subject-level resting-state fMRI FC and MEG FC obtained from the same participants (N=543). Fingerprints derived from each modality separately showed robust within-subject, cross-session consistency and successfully predicted age and cognition, confirming that these features capture stable and behaviourally relevant individual traits. We then quantified shared individual variability between modalities using variance partitioning analyses and representational similarity measures. Two main findings emerged. First, despite strong similarity at the population-average level, correspondence between MEG and fMRI neural fingerprints at the subject level was low, as reflected in both cross-modal shared variance and the preservation of pairwise inter-subject similarity patterns, quantified by linear Centred Kernel Alignment (CKA). Second, structural fingerprints accounted for the majority of age-related variance in functional neural fingerprints, almost entirely explaining the age-related variance in, and shared between, fMRI and MEG. MEG functional fingerprints did have unique information not accounted for by structure when explaining variability in cognitive traits, but this was not shared with fMRI. Together, these findings demonstrate that there is a surprisingly lack of similarity in the way that subjects vary between fMRI and electrophysiology, especially when structural variability is accounted for.

Object manipulation usually involves both acquisition and placement, but neuroimaging studies tend to focus on its initial reach-to-grasp component. To understand how grasp and placement are represented in the brain, we designed an event-related fMRI study in which 20 participants alternated between grasping / placing a rectangular object from / toward templates presented at variable locations and orientations on an inclined plane. Despite the similarity in target information (i.e., location and orientation), we expected to see sensory and intentional task differences, as the grasp relied on matching the hand to the object, whereas placement relied on matching the object to the template. For our analysis, we examined BOLD activation across two epochs (planning phase before movement onset and execution phase during the movement), and applied graph-theoretical analysis (GTA) of whole-brain functional connectivity based on the joint time series from these two epochs. In both tasks, we found that common activation was more focused on prefrontal regions during planning and on sensorimotor regions during execution, with a specific increase in cerebellar activation during placement. Furthermore, the greater placement activation was also found in action-related regions of interest during the planning phase, and they could accurately decode between our two tasks. GTA categorized the two networks into three identical modules (prefrontal, cerebellar-occipito-parietal, and sensorimotor) and found task-based differences in modularity scores in the prefrontal and cerebellar-occipito-parietal modules. Overall, these data show that although reach-to-grasp and reach-to-place movements share extensive neural circuitry, they also exhibit task-specific differences, likely related to differences in intentionality during planning and in sensory feedback during movement execution.

Many cognitive processes depend on integrating information as it becomes available to construct meaningful interpretations. Prior work has shown graded and incremental context effects, especially in language, but it remains less clear whether contextual integration exhibits a comparable temporal profile across symbolic domains when structured input is examined within congruent sequences. Twenty-seven participants processed congruent four-element sequences designed to be structurally comparable across lexical, algebraic, and graphical domains while event-related potentials were recorded. In the 250-500 ms interval, mean amplitudes increased systematically with sequence position within a predefined centro-parietal region of interest (p < .001). The Domain x Position interaction did not reach significance (p = .056), although modest domain-related differences in the buildup profile cannot be ruled out. A follow-up analysis showed that the increase to the response-relevant final position was larger than earlier increases (p < .001). Additional analyses indicated maximal amplitudes over parietal sites and the clearest graded increase over central sites. These findings indicate that context-sensitive activity was progressive but not uniform across sequence positions, with the strongest increase occurring when the sequence reached its final, response-relevant completion point. The presence of position-related increases across lexical, algebraic, and graphical domains is consistent with the view that centro-parietal ERP activity in the 250-500 ms window tracks the progressive buildup of contextual integration during structured sequence processing. HighlightsO_LIContext-sensitive ERP activity increased across sequence position. C_LIO_LIThe strongest increase occurred at the final completion point. C_LIO_LIMaximal amplitudes were observed over parietal electrodes. C_LIO_LICentral sites best captured graded position-related modulation. C_LIO_LIPosition-related buildup was observed across symbolic domains. C_LI

Functional connectivity (FC) is a statistical measure that reflects the degree of phase consistency between two signals and provides insights about potential interactions between two brain regions. Previous studies have reported conflicting results on the effect of meditation on FC, with some showing enhancement while others reporting suppression of FC. However, even though meditation increases power over a broad frequency range between 15-200 Hz and beyond, most FC studies have reported changes over fixed and narrow frequency bands below 50 Hz. Further, meditation-induced changes in power spectral density (PSD) and FC have never been compared with changes with other factors such as age, gender and stimulus. We recorded electroencephalogram (EEG) from open-eyed meditators (N=35) and their gender-and age-matched controls (N=36) and found that meditation was associated with a state decrease in FC across a broad frequency range (15-200 Hz), while PSD showed both trait and state enhancement. Furthermore, visual gratings, which are known to enhance narrow-band gamma power, led to reduced gamma FC in both meditators and controls. We also compared the effect of aging and gender on a different dataset of healthy middle-aged (N=78) and elderly (N=89) participants and found differences in distinct frequency bands that were limited to a narrow range. We also found that often-used average referencing heavily distorted the FC and gave uninterpretable results. Overall, our results suggest distinct neural mechanisms underlying healthy aging, vision, and meditation and further recommend caution while using average referencing to study phase-based metrics. Significance statementMeditation research has reported inconsistent effects on functional connectivity (FC), partly because most studies examined only narrow low-frequency bands despite meditation altering brain activity across a much broader frequency band. This study demonstrates that meditation produces a broadband state reduction in FC across 15-200 Hz, while simultaneously enhancing power. In contrast, healthy aging, gender, and visual stimulation showed frequency-specific effects confined to alpha (8-12 Hz) and high-beta (20-36 Hz) bands, highlighting meditations unique large-scale neural signature. The study also shows that average referencing can severely distort phase-based FC estimates, leading to misleading interpretations. These findings clarify conflicting literature, distinguish meditation from other neural modulators, and provide important methodological guidance for EEG connectivity research.

Iconicity refers to systematic links between word form and meaning. Although evidence for iconicity in natural language continues to grow, its neural basis remains unclear. Using functional magnetic resonance imaging (fMRI) and multivariate pattern analysis (MVPA), we examined iconic shape associations of auditory real words and pseudowords. The pseudowords were matched to the real words in phonemic and phonotactic properties, while differing primarily in the absence of learned semantic representations. Participants listened to each item and judged whether it sounded rounded or pointed. Searchlight MVPA revealed significant decoding for both stimulus types. For real words, iconic shape associations were decoded above chance in regions associated with visual and haptic shape processing (left lateral occipital complex and left anterior intraparietal sulcus), visual imagery (bilateral precuneus), phonological processing (bilateral supramarginal gyri), and semantic processing (left middle frontal and right superior frontal gyri). For pseudowords, significant decoding was found in regions associated with multisensory feature organization (right posterior intraparietal sulcus) and language processing (left angular and inferior frontal gyri). Together, these findings provide evidence for neural mechanisms mediating iconic associations, with language-related areas involved for both real words and pseudowords, and visual processing for real words.

Creativity is a hallmark of human cognition, characterized by the ability to connect seemingly distant concepts or ideas. Existing theories suggest that remote thinking can be achieved either spontaneously (constrained by the structure of semantic memory) or in a goal-directed manner (constrained by a creative goal). The present study investigates the neural correlates of goal-directed remote thinking, defined as the intentional production of semantically distant associations. Using a simple word-to-word association task comprising both a spontaneous condition and a goal-directed creative condition, we investigated Goal-directed Remoteness as the extra semantic distance traveled away from spontaneous responses when instructed to think creatively. Task-based functional MRI in 38 healthy young adults identified brain regions whose activation scaled with Goal-directed Remoteness. The results revealed that activity in the rostromedial and dorsomedial prefrontal cortex and the right cerebellar Crus I & II was positively modulated by Goal-directed Remoteness. Control analyses confirmed the robustness of these findings independently of the cue-words semantic or linguistic properties. Follow-up seed-based resting-state functional connectivity analyses characterized the intrinsic connectivity profiles of the revealed regions. They showed that rostromedial and dorsomedial prefrontal and cerebellar Crus I & II regions formed a functionally interconnected network primarily overlapping with the default-mode network (DMN). Our findings challenge the traditional view of the DMN as supporting only passive or spontaneous cognition. Instead, they reveal a prefronto-cerebellar DMN subnetwork supporting goal-directed remote thinking, a key component of creative cognition. Within this network, the rostromedial and dorsomedial prefrontal cortex and cerebellar Crus I & II play an active role in the intentional generation of connections between distant concepts.

Spatialization in working memory refers to the spatial coding of non-spatial information along a mental horizontal line when encoding verbal material. This phenomenon is thought to support working memory by facilitating order encoding. Although it has been observed for both visually and auditorily presented stimuli, no direct comparison has yet examined whether these modalities rely on similar neural mechanisms. In this study, we investigated whether spatialization in visual and auditory modalities involves shared or distinct patterns of activity within the working-memory network. Forty-nine participants performed both a visual and an auditory working memory SPoARC task of the same verbal material, allowing to study the cortical patterns associated with distinct serial positions at both encoding and recognition across sensory modalities. Whole-brain analyses revealed similar frontoparietal networks across conditions. In addition, a representational similarity analysis (RSA) was conducted to assess the similarity of neural patterns between early and late serial positions in a sequence and across sensory modalities. This multivoxel pattern analysis revealed modality-dependent patterns distinguishing early and late positions in the inferior frontal gyrus. Additional modality-specific effects were observed in the anterior intraparietal sulcus in the visual modality and in the posterior hippocampus in the auditory modality. Drawing on the framework proposed by Bottini & Doeller (2020), we propose that order decoding in the IPS might reflect a low-dimensional spatial coding of order (e.g., along a horizontal axis), whereas order decoding in the hippocampus might reflect higher-dimensional spatial representations or temporal representations.

A central question in psycholinguistics in visual word recognition is whether morphologically complex words are obligatorily decomposed into stems and affixes during visual word recognition or whether whole- word access can occur when forms are frequent and familiar. The present study investigated how morphological complexity and lexical frequency jointly shape neural responses by leveraging Korean nominal inflection, whose transparent stem-suffix structure permits a clean dissociation between base (stem) frequency and surface (whole- word) frequency. Twenty-five native Korean speakers completed a rapid event-related fMRI lexical decision task involving simple and inflected nouns that varied parametrically in both frequency measures. Representational similarity analysis (RSA) revealed robust encoding of surface frequency--but not base frequency--in the inferior frontal gyrus (IFG) pars opercularis and supramarginal gyrus (SMG), with significantly stronger correlations for inflected than simple nouns. Univariate analyses converged with this result: surface frequency selectively increased activation for inflected nouns in inferior parietal regions, whereas base frequency showed no reliable effects in any ROI. These findings challenge models positing obligatory pre-lexical decomposition, instead supporting accounts in which morphological processing is shaped by post-lexical, usage-driven lexical statistics. Taken together, our findings shed light on a distributed perspective on morphological processing, suggesting that structural and statistical factors jointly constrain access to morphologically complex forms.

Visual spatial attention deployed in advance of sensory stimulation enhances the processing of the stimuli at an attended location. While it is understood that the attention control signals are established even before the stimulus occurs, how these signals help achieve stimulus selection is still not clear. Here, we investigated the neural mechanisms of spatial attention control and subsequent stimulus selection by recording fMRI data from participants performing a cued visual spatial attention task. At the beginning of each trial, participants were cued to covertly attend either the left or the right visual field. Following a random cue-target period, a target stimulus appeared either at the attended location or at the unattended location. Participants discriminated the stimulus appearing at the attended location and ignored the stimulus appearing at the unattended location. Using MVPA decoding and multivariate functional connectivity techniques, we investigated the nature of the information in visual cortex during both the cue and target periods, and further probed how cue-related information was related to target-related sensory processing. The following results were found: (1) attend-left vs. attend-right conditions could be decoded from the cue-period neural activity in visual cortex, (2) target position (target-left vs. target-right) could also be decoded from the target-evoked activity in visual cortex, (3) classifiers built on cue-period neural activity could cross-decode attended target-evoked neural activity in visual cortex and vice versa, (4) higher pattern similarity across cue and target periods, as indexed by cross-decoding accuracy, was correlated with better behavioral performance, (5) the strength of cue-evoked multivariate functional connectivity patterns in visual cortex was positively correlated with behavioral performance, and (6) cue-evoked multivariate functional connectivity patterns were similar to those evoked by the attended targets, and higher connectivity pattern similarity across cue and target periods was correlated with better behavioral performance. These results suggest that top-down attention control enables the formation of (1) a spatial attention template at the level of individual visual cortical areas and (2) an attention network template across visual areas, and these neural patterns support stimulus selection likely via a template matching mechanism at both area and pathway levels.

IntroductionThe thalamic nuclei play a crucial role in regulating information flow to the cortex and supports diverse cognitive functions. Although previous studies have linked thalamic structural and functional characteristics to cognition, these measures do not fully capture the thalamuss role in dynamic control, which is essential for complex cognitive processes. Moreover, it remains unclear how these different metrics relate to each other in the way they account for cognition. MethodsT1-weighted MRI, diffusion MRI, resting-state fMRI, and neuropsychological data were obtained from 419 unrelated participants in the Human Connectome Project. We measured grey matter volume, white matter integrity, and functional controllability of each thalamic nucleus to examine their associations with cognitive performance across domains identified through clustering analysis of the neuropsychological data. We also assessed the relationships among these structural and functional metrics and evaluated their individual and combined contributions in capturing covariance with performance in various cognitive domains. ResultsSignificant correlations were observed between thalamic grey matter volume and white matter integrity; however, thalamic functional controllability showed no significant association with either structural metric. White matter integrity demonstrated the strongest association with sequence working memory and language processing. In contrast, thalamic controllability metrics accounted more for performance in executive function, reasoning and encoding, visuospatial processing, and impulse control, outperforming the combination of grey and white matter structural metrics. ConclusionThis study highlights the critical role of the thalamus from a dynamic control perspective, demonstrating that thalamic structural and functional metrics provide complementary rather than redundant information related to cognitive performance. These findings underscore a promising new direction for understanding the complex and dynamic contributions of the thalamus to human cognition.

Infant environments are rich in rhythms, many of which are social in nature. These rhythms are proposed to play an important role in early communication and interpersonal synchrony. In this cross-sectional electroencephalography (EEG) study with 3- and 6-month-olds (n=31 and n=30, respectively), we examined whether the infant brain tracks the rhythmicity of locomotion-related biological motion in the visual domain and which experiential factors relate to this ability. We found robust neural tracking of biological motion rhythms at both ages, with no effects of age or orientation (upright or inverted). Additionally, we found that caregiver-reported practice of infant carrying/babywearing and caregiver attitudes toward social touch were linked to infant neural tracking of biological motion rhythms, particularly in the inverted condition. Finally, exploratory analyses revealed a lateralisation effect, whereby the left hemisphere processed rightward (vs. leftward) biological motion rhythms more strongly. Our findings suggest that from early on, the infant brain tracks the rhythmicity of whole-body biological motion. Furthermore, caregiver touch-related practices, particularly infant carrying/babywearing, may play a role in infant neural tracking of socially-relevant rhythms.

Play is a fundamental aspect of childhood and plays a crucial role in the development of creativity, yet its neural mechanisms remain poorly understood. We tested the hypothesis that more frequent play is associated with stronger functional integration among the default mode network (DMN), executive control network (CN), and salience network (SAL), as these cortical networks have been implicated in creativity in adults. In a preregistered study of infants and toddlers (Study 1; N = 143, 10 months-3 years, 67 boys, Baby Connectome Project), parent-reported play and imitation behaviors increased sharply from 1 to 2 years, and were associated with stronger within-DMN connectivity and DMN-CN coupling, controlling for age, sex, and head motion. In middle childhood (Study 2; N = 108, ages 4-11 years, 52 boys), parent-reported play frequency declined with age, as did cross-network coupling involving SAL. However, children who engaged more frequently in play showed higher DMN-SAL and CN-SAL connectivity. Finally, in a quasi-experimental comparison (Study 3; N = 45; ages 4-12 years, 20 boys), children enrolled in a curriculum that includes guided play (Montessori) showed higher DMN-SAL and DMN-CN connectivity than peers in traditional schools, suggesting that pedagogies that center child-led exploration might enable protracted brain network integration. Across these three studies, play was consistently associated with greater integration among DMN, SAL, and CN, a pattern previously linked to creativity in adults. Our findings offer a potential mechanism linking childhood play to later creativity through its role in supporting brain integration during development. Public Significant StatementO_LIPlay is widely believed to nurture childrens creativity, yet the brain mechanisms behind this link are not well understood. C_LIO_LIAcross three studies from infancy to middle childhood, we found that more frequent play was associated with stronger integration among brain networks tied to imagination, attention, and control. C_LIO_LIThese findings suggest that play may help build the neural foundation for later creative thinking. C_LI

Attention is a function that enables selection and integration of multiple sources of information. However, how these demands influence neural coding of information is not well understood. In this study we used EEG to examine how the selection vs. integration of stimuli shapes the content and geometry reflected on neural patterns, during both preparation and target processing. Participants performed a size judgement task in a cue-target paradigm that, depending on the block, required judging either the size of a selected item and ignoring the additional stimulus or integrating both items to respond. Decoding analyses showed that under selection demands, categorical templates of the cued stimulus were activated during preparation and target coding, contrasting with integration, where the cued category was active only during preparation. Notably, RSA suggested a specific exemplar encoding during its processing, that was sustained also across the post-stimulus window during selection, yet not under integration contexts. Our results also suggest that attentional demands shape the similarity between stimulus categories, by increasing the distance between selected stimuli and distractors or by increasing the similarity between to-be-integrated stimuli. Overall, this study uncovers the dynamics of stimulus encoding under selection and integration demands, offering crucial advances to understand how top-down processes shape information representation in the human brain.

Despite numerous investigations, a comprehensive electrophysiological characterization of iconic memory remains lacking. Through a partial report paradigm, we aimed to shed light on this topic by disentangling electrophysiological activity related to stimulus perception from that linked with the specific task. We collected EEG data from 26 participants while they performed a partial report task. They were shown circular arrays of six letters lasting 100 ms. After the stimulus, an acoustic cue instructed the participant to report on which side of the array. Differences between reporting conditions were primarily evident in the time window 850-1100 ms, characterized by a positive component predominantly over parieto-occipital electrodes ipsilateral to the reporting side. Through linear regression, we also found a positive relationship between P1 and participants accuracy, as well as negative relationships between P3, VCR, TIF, and accuracy. Our results provide an overview of the different processes involved in iconic memory, corroborating the distinction between a series of neural mechanisms responsible for encoding and maintaining the entire stimulus and higher-order processes in charge of selecting an information subset for conscious report. The TIF component, in particular, could act as a key filtering mechanism to prevent irrelevant information from being selected for further processing. Our results provide, for the first time, a thorough characterization of the electrophysiological dynamics behind iconic memory. Moreover, implications for the consciousness debate are discussed, particularly regarding the overflow argument and how our results could be read through its lens.