Explainable artificial intelligence based analysis for interpreting infant fNIRS data in developmental cognitive neuroscience.

In the last decades, non-invasive and portable neuroimaging techniques, such as functional near infrared spectroscopy (fNIRS), have allowed researchers to study the mechanisms underlying the functional cognitive development of the human brain, thus furthering the potential of Developmental Cognitive Neuroscience (DCN). However, the traditional paradigms used for the analysis of infant fNIRS data are still quite limited. Here, we introduce a multivariate pattern analysis for fNIRS data, xMVPA, that is powered by eXplainable Artificial Intelligence (XAI). The proposed approach is exemplified in a study that investigates visual and auditory processing in six-month-old infants. xMVPA not only identified patterns of cortical interactions, which confirmed the existent literature; in the form of conceptual linguistic representations, it also provided evidence for brain networks engaged in the processing of visual and auditory stimuli that were previously overlooked by other methods, while demonstrating similar statistical performance.

Individualized cognitive neuroscience needs 7T: Comparing numerosity maps at 3T and 7T MRI.

The field of cognitive neuroscience is weighing evidence about whether to move from the current standard field strength of 3 Tesla (3T) to ultra-high field (UHF) of 7T and above. The present study contributes to the evidence by comparing a computational cognitive neuroscience paradigm at 3T and 7T. The goal was to evaluate the practical effects, i.e. model predictive power, of field strength on a numerosity task using accessible pre-processing and analysis tools. Previously, using 7T functional magnetic resonance imaging and biologically-inspired analyses, i.e. population receptive field modelling, we discovered topographical organization of numerosity-selective neural populations in human parietal cortex. Here we show that these topographic maps are also detectable at 3T. However, averaging of many more functional runs was required at 3T to reliably reconstruct numerosity maps. On average, one 7T run had about four times the model predictive power of one 3T run. We believe that this amount of scanning would have made the initial discovery of the numerosity maps on 3T highly infeasible in practice. Therefore, we suggest that the higher signal-to-noise ratio and signal sensitivity of UHF MRI is necessary to build mechanistic models of the organization and function of our cognitive abilities in individual participants.

Bioacoustics in cognitive research: Applications, considerations, and recommendations.

The multifaceted ability to produce, transmit, receive, and respond to acoustic signals is widespread in animals and forms the basis of the interdisciplinary science of bioacoustics. Bioacoustics research methods, including sound recording and playback experiments, are applicable in cognitive research that centers around the processing of information from the acoustic environment. We provide an overview of bioacoustics techniques in the context of cognitive studies and make the case for the importance of bioacoustics in the study of cognition by outlining some of the major cognitive processes in which acoustic signals are involved. We also describe key considerations associated with the recording of sound and its use in cognitive applications. Based on these considerations, we provide a set of recommendations for best practices in the recording and use of acoustic signals in cognitive studies. Our aim is to demonstrate that acoustic recordings and stimuli are valuable tools for cognitive researchers when used appropriately. In doing so, we hope to stimulate opportunities for innovative cognitive research that incorporates robust recording protocols. This article is categorized under: Neuroscience > Cognition Psychology > Theory and Methods Neuroscience > Behavior Neuroscience > Cognition.

Cognitive neuroscience using wearable magnetometer arrays: Non-invasive assessment of language function.

Recent work has demonstrated that Optically Pumped Magnetometers (OPMs) can be utilised to create a wearable Magnetoencephalography (MEG) system that is motion robust. In this study, we use this system to map eloquent cortex using a clinically validated language lateralisation paradigm (covert verb generation: 120 trials, ∼10 min total duration) in healthy adults (n = 3). We show that it is possible to lateralise and localise language function on a case by case basis using this system. Specifically, we show that at a sensor and source level we can reliably detect a lateralising beta band (15-30 Hz) desynchronization in all subjects. This is the first study of human cognition using OPMs and not only highlights this technology's utility as tool for (developmental) cognitive neuroscience but also its potential to contribute to surgical planning via mapping of eloquent cortex, especially in young children.

¿Puede explicarse la conciencia? Sobre la relación mente-cerebro. Respuesta / No disponible

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Uses, misuses, new uses and fundamental limitations of magnetic resonance imaging in cognitive science.

When blood oxygenation level-dependent (BOLD) contrast functional magnetic resonance imaging (fMRI) was discovered in the early 1990s, it provoked an explosion of interest in exploring human cognition, using brain mapping techniques based on MRI. Standards for data acquisition and analysis were rapidly put in place, in order to assist comparison of results across laboratories. Recently, MRI data acquisition capabilities have improved dramatically, inviting a rethink of strategies for relating functional brain activity at the systems level with its neuronal substrates and functional connections. This paper reviews the established capabilities of BOLD contrast fMRI, the perceived weaknesses of major methods of analysis, and current results that may provide insights into improved brain modelling. These results have inspired the use of in vivo myeloarchitecture for localizing brain activity, individual subject analysis without spatial smoothing and mapping of changes in cerebral blood volume instead of BOLD activation changes. The apparent fundamental limitations of all methods based on nuclear magnetic resonance are also discussed.This article is part of the themed issue 'Interpreting BOLD: a dialogue between cognitive and cellular neuroscience'.

El problema mente-cerebro (I): fundamentos ontoepistemológicos / The mind-brain problem (I): onto-epistemological foundations

Introducción. La ciencia y la filosofía han abordado a lo largo de la historia del pensamiento y desde diferentes perspectivas epistémicas el problema mente-cerebro. La primera de ellas acota áreas específicas de la realidad y construye hipótesis de corto alcance y múltiple conectividad intercientífica con el objetivo de validar modelos teóricos; la segunda extiende su arquitectura sistémica al conjunto de lo real (incluida la actividad científica). Desarrollo. La complejidad del problema mente-cerebro exige generar un vínculo de conexión disciplinar entre la filosofía y la ciencia; nuestros presupuestos ontoepistemológicos se erigen, por lo tanto, en el marco de una filosofía orientada científicamente (filosofía científica). Se defiende el materialismo emergentista como solución filosófico-científica coherente y contrastable en contraposición a otras propuestas desarrolladas desde diferentes modelos ontológicos (por ejemplo, dualismo interaccionista, funcionalismo, teoría de la identidad, epifenomenalismo...). Conclusiones. La respuesta al problema mente-cerebro sólo es factible desde una neurociencia cognitiva fundamentada filosóficamente: el materialismo emergentista -postulado ontológico- afirma que la mente es una propiedad emergente (novedad cualitativa) del cerebro; el realismo científico -postulado epistemológico- sostiene que la neurociencia cognitiva es la herramienta teórico-experimental básica que posibilita el acceso cognoscitivo tanto al cerebro como a sus procesos neurocognitivos. Consideramos que a partir de esta fundamentación filosófica, la neurociencia cognitiva adquiere legitimidad epistémica para acometer el estudio del proceso mental más genuinamente humano: la conciencia (AU)

Introduction. Throughout the history of thought, science and philosophy have addressed the problem of mind-brain from different epistemic perspectives. The first covers specific areas of reality and constructs hypotheses with limited scope and multiple inter-scientific connectivity with the aim of validating theoretical models; the second extends its systemic architecture to all that is real (including scientific activity). Development. The complexity of the mind-brain problem requires the generation of a link connecting the disciplines of philosophy and science; our onto-epistemological presuppositions therefore fall within the framework of a scientifically-oriented philosophy (scientific philosophy). Emergentist materialism is defended as a coherent and verifiable philosophical-scientific solution, as opposed to other proposals developed on the basis of different ontological models (for example, interactionist dualism, functionalism, theory of identity, epiphenomenalism, and so on). Conclusions. An answer to the mind-brain problem is only feasible if based on a philosophically grounded cognitive neuroscience: emergentist materialism -an ontological postulate- holds that the mind is an emergent property (qualitative novelty) of the brain; scientific realism -an epistemological postulate- holds that cognitive neuroscience is the basic theoretical-experimental tool that allows cognitive access to both the brain and its neurocognitive processes. We consider that on the basis of this philosophical reasoning, cognitive neuroscience acquires epistemic legitimacy to be able to undertake the study of the most genuinely human mental process: consciousness (AU)

Neurociencia cognitiva aplicada / Applied cognitive neuroscience

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Non-invasive Human Brain Stimulation in Cognitive Neuroscience: A Primer.

The use of non-invasive brain stimulation is widespread in studies of human cognitive neuroscience. This has led to some genuine advances in understanding perception and cognition, and has raised some hopes of applying the knowledge in clinical contexts. There are now several forms of stimulation, the ability to combine these with other methods, and ethical questions that are special to brain stimulation. In this Primer, we aim to give the users of these methods a starting point and perspective from which to view the key questions and usefulness of the different forms of non-invasive brain stimulation. We have done so by taking a critical view of recent highlights in the literature, selected case studies to illustrate the elements necessary and sufficient for good experiments, and pointed to questions and findings that can only be addressed using interference methods.

Exploring the Potential of the iPad and Xbox Kinect for Cognitive Science Research.

Many studies have validated consumer-facing hardware platforms as efficient, cost-effective, and accessible data collection instruments. However, there are few reports that have assessed the reliability of these platforms as assessment tools compared with traditional data collection platforms. Here we evaluated performance on a spatial attention paradigm obtained by our standard in-lab data collection platform, the personal computer (PC), and compared performance with that of two widely adopted, consumer technology devices: the Apple (Cupertino, CA) iPad(®) 2 and Microsoft (Redmond, WA) Xbox(®) Kinect(®). The task assessed spatial attention, a fundamental ability that we use to navigate the complex sensory input we face daily in order to effectively engage in goal-directed activities. Participants were presented with a central spatial cue indicating where on the screen a stimulus would appear. We manipulated spatial cueing such that, on a given trial, the cue presented one of four levels of information indicating the upcoming target location. Based on previous research, we hypothesized that as information of the cued spatial area decreased (i.e., larger area of possible target location) there would be a parametric decrease in performance, as revealed by slower response times and lower accuracies. Identical paradigm parameters were used for each of the three platforms, and testing was performed in a single session with a counterbalanced design. We found that performance on the Kinect and iPad showed a stronger parametric effect across the cued-information levels than that on the PC. Our results suggest that not only can the Kinect and iPad be reliably used as assessment tools to yield research-quality behavioral data, but that these platforms exploit mechanics that could be useful in building more interactive, and therefore effective, cognitive assessment and training designs. We include a discussion on the possible contributing factors to the differential effects between platforms, as well as potential confounds of the study.