Complexity and 1/f slope jointly reflect brain states.

Characterization of brain states is essential for understanding its functioning in the absence of external stimuli. Brain states differ on their balance between excitation and inhibition, and on the diversity of their activity patterns. These can be respectively indexed by 1/f slope and Lempel-Ziv complexity (LZc). However, whether and how these two brain state properties relate remain elusive. Here we analyzed the relation between 1/f slope and LZc with two in-silico approaches and in both rat EEG and monkey ECoG data. We contrasted resting state with propofol anesthesia, which directly modulates the excitation-inhibition balance. We found convergent results among simulated and empirical data, showing a strong, inverse and non trivial monotonic relation between 1/f slope and complexity, consistent at both ECoG and EEG scales. We hypothesize that differentially entropic regimes could underlie the link between the excitation-inhibition balance and the vastness of the repertoire of brain systems.

Dysconnectivity in Schizophrenia Revisited: Abnormal Temporal Organization of Dynamic Functional Connectivity in Patients With a First Episode of Psychosis.

BACKGROUND AND HYPOTHESIS: Abnormal functional connectivity between brain regions is a consistent finding in schizophrenia, including functional magnetic resonance imaging (fMRI) studies. Recent studies have highlighted that connectivity changes in time in healthy subjects. We here examined the temporal changes in functional connectivity in patients with a first episode of psychosis (FEP). Specifically, we analyzed the temporal order in which whole-brain organization states were visited. STUDY DESIGN: Two case-control studies, including in each sample a subgroup scanned a second time after treatment. Chilean sample included 79 patients with a FEP and 83 healthy controls. Mexican sample included 21 antipsychotic-naïve FEP patients and 15 healthy controls. Characteristics of the temporal trajectories between whole-brain functional connectivity meta-states were examined via resting-state functional MRI using elements of network science. We compared the cohorts of cases and controls and explored their differences as well as potential associations with symptoms, cognition, and antipsychotic medication doses. STUDY RESULTS: We found that the temporal sequence in which patients' brain dynamics visited the different states was more redundant and segregated. Patients were less flexible than controls in changing their network in time from different configurations, and explored the whole landscape of possible states in a less efficient way. These changes were related to the dose of antipsychotics the patients were receiving. We replicated the relationship with antipsychotic medication in the antipsychotic-naïve FEP sample scanned before and after treatment. CONCLUSIONS: We conclude that psychosis is related to a temporal disorganization of the brain's dynamic functional connectivity, and this is associated with antipsychotic medication use.

La planificación cognitiva en el contexto de la evaluación neuropsicológica e investigación en neurociencia cognitiva: una revisión sistemática / Cognitive planning in the context of neuropsychological assessment and research in cognitive neuroscience: a systematic review

La planificación es definida como la habilidad de desarrollar un plan secuenciado de pasos conductuales para alcanzar una meta y forma parte de un conjunto de funciones cognitivas de alto orden denominadas funciones ejecutivas. Esta función se ve afectada en diversas situaciones de la vida cotidiana y en una variedad de trastornos neuropsiquiátricos (por ej., depresión, ansiedad, déficit atencional, esquizofrenia, etc.). Tanto el diseño de pruebas cognitivas para evaluar planificación en el contexto clínico, como también el diseño de paradigmas experimentales de evaluación de la planificación en el contexto de investigación, continúa siendo un desafío para la neuropsicología clínica y para las neurociencias. En este artículo de revisión sistemática que sigue las direcciones PRISMA, revisamos la teoría e investigación en relación con la evaluación clínica y la investigación de las bases neurobiológicas de la planificación y los aportes a la comprensión de los mecanismos de su implementación. Se reportan medidas metodológicas comunes y se resumen las aproximaciones teóricas que contribuyen en su comprensión. Nuestros hallazgos muestran la implicancia de la corteza prefrontal en el rendimiento en planificación, en particular el área dorsolateral, corteza cingulada anterior y frontopolar. Mayores estudios clínicos, instrumentales y experimentales son necesarios para comprender mejor la planificación en el contexto de una teoría integrativa de las funciones ejecutivas y del rol de la corteza prefrontal.

Planning is defined as the ability to develop a sequenced plan of behavioral steps to achieve a goal and is part of a set of high-order cognitive functions called executive functions. This function is affected in various daily life situations and in a variety of neuropsychiatric disorders (e.g., depression, anxiety, attention deficit disorder, schizophrenia, etc.). Both the design of cognitive tests to assess planning in the clinical context, as well as the design of experimental paradigms for evaluating planning in research context, continues to be a challenge for clinical neuropsychology and neurosciences. In this PRISMA systematic review article, we review theory and research regarding clinical assessment and research into the neurobiological bases of planning and contributions to understanding the mechanisms of its implementation. Common methodological measures are reported and the theoretical approaches that contribute to their understanding are summarized. Our findings show the involvement of the prefrontal cortex in planning performance, particularly the dorsolateral area, the anterior cingulate cortex, and the frontopolar cortex. Further clinical, instrumental, and experimental studies are needed to better understand planning in the context of an integrative theory of executive functions and the role of the prefrontal cortex.

Perceptual fusion of musical notes by native Amazonians suggests universal representations of musical intervals.

Music perception is plausibly constrained by universal perceptual mechanisms adapted to natural sounds. Such constraints could arise from our dependence on harmonic frequency spectra for segregating concurrent sounds, but evidence has been circumstantial. We measured the extent to which concurrent musical notes are misperceived as a single sound, testing Westerners as well as native Amazonians with limited exposure to Western music. Both groups were more likely to mistake note combinations related by simple integer ratios as single sounds ('fusion'). Thus, even with little exposure to Western harmony, acoustic constraints on sound segregation appear to induce perceptual structure on note combinations. However, fusion did not predict aesthetic judgments of intervals in Westerners, or in Amazonians, who were indifferent to consonance/dissonance. The results suggest universal perceptual mechanisms that could help explain cross-cultural regularities in musical systems, but indicate that these mechanisms interact with culture-specific influences to produce musical phenomena such as consonance.

Transitions between human functional brain networks reveal complex, cost-efficient and behaviorally-relevant temporal paths.

Resting-state functional MRI activity is organized as a complex network. However, this coordinated brain activity changes with time, raising questions about its evolving temporal arrangement. Does the brain visit different configurations through time in a random or ordered way? Advances in this area depend on developing novel paradigms that would allow us to shed light on these issues. We here propose to study the temporal changes in the functional connectome by looking at transition graphs of network activity. Nodes of these graphs correspond to brief whole-brain connectivity patterns (or meta-states), and directed links to the temporal transition between consecutive meta-states. We applied this method to two datasets of healthy subjects (160 subjects and a replication sample of 54), and found that transition networks had several non-trivial properties, such as a heavy-tailed degree distribution, high clustering, and a modular organization. This organization was implemented at a low biological cost with a high cost-efficiency of the dynamics. Furthermore, characteristics of the subjects' transition graphs, including global efficiency, local efficiency and their transition cost, were correlated with cognition and motor functioning. All these results were replicated in both datasets. We conclude that time-varying functional connectivity patterns of the brain in health progress in time in a highly organized and complex order, which is related to behavior.

Human Anterior Insula Encodes Performance Feedback and Relays Prediction Error to the Medial Prefrontal Cortex.

Adaptive behavior requires the comparison of outcome predictions with actual outcomes (e.g., performance feedback). This process of performance monitoring is computed by a distributed brain network comprising the medial prefrontal cortex (mPFC) and the anterior insular cortex (AIC). Despite being consistently co-activated during different tasks, the precise neuronal computations of each region and their interactions remain elusive. In order to assess the neural mechanism by which the AIC processes performance feedback, we recorded AIC electrophysiological activity in humans. We found that the AIC beta oscillations amplitude is modulated by the probability of performance feedback valence (positive or negative) given the context (task and condition difficulty). Furthermore, the valence of feedback was encoded by delta waves phase-modulating the power of beta oscillations. Finally, connectivity and causal analysis showed that beta oscillations relay feedback information signals to the mPFC. These results reveal that structured oscillatory activity in the anterior insula encodes performance feedback information, thus coordinating brain circuits related to reward-based learning.

Universal and Non-universal Features of Musical Pitch Perception Revealed by Singing.

Musical pitch perception is argued to result from nonmusical biological constraints and thus to have similar characteristics across cultures, but its universality remains unclear. We probed pitch representations in residents of the Bolivian Amazon-the Tsimane', who live in relative isolation from Western culture-as well as US musicians and non-musicians. Participants sang back tone sequences presented in different frequency ranges. Sung responses of Amazonian and US participants approximately replicated heard intervals on a logarithmic scale, even for tones outside the singing range. Moreover, Amazonian and US reproductions both deteriorated for high-frequency tones even though they were fully audible. But whereas US participants tended to reproduce notes an integer number of octaves above or below the heard tones, Amazonians did not, ignoring the note "chroma" (C, D, etc.). Chroma matching in US participants was more pronounced in US musicians than non-musicians, was not affected by feedback, and was correlated with similarity-based measures of octave equivalence as well as the ability to match the absolute f0 of a stimulus in the singing range. The results suggest the cross-cultural presence of logarithmic scales for pitch, and biological constraints on the limits of pitch, but indicate that octave equivalence may be culturally contingent, plausibly dependent on pitch representations that develop from experience with particular musical systems. VIDEO ABSTRACT.

A pupil size, eye-tracking and neuropsychological dataset from ADHD children during a cognitive task.

Attention Deficit/Hyperactive Disorder (ADHD) is diagnosed based on observed behavioral outcomes alone. Given that some brain attentional networks involve circuits that control the eye pupil, we monitored pupil size in ADHD- diagnosed children and also in control children during a visuospatial working memory task. We present here the full dataset, consisting of pupil size time series for each trial and subject. There are data from, 22 control, and 28 ADHD-diagnosed children. There are also data from a subset of 17 ADHD children that performed the task twice, on- and off-medication. In addition, our dataset also includes gaze position data from each trial and subject, and also scores from the Weschler Intelligence Scale for Children. In this context, the dataset can serve as a resource to analyze dynamic eye movement and pupil changes as a function of known behavioral changes and scores in neuropsychological tests, which reflect neurocognitive processing.

Brain state-dependent recruitment of high-frequency oscillations in the human hippocampus.

Ripples are high-frequency bouts of coordinated hippocampal activity believed to be crucial for information transfer and memory formation. We used intracortical macroelectrodes to record neural activity in the human hippocampus of awake subjects undergoing surgical treatment for refractory epilepsy and distinguished two populations of ripple episodes based on their frequency spectrum. The phase-coupling of one population, slow ripples (90-110 Hz), to cortical delta oscillations was differentially modulated by cognitive task; whereas the second population, fast ripples (130-170 Hz), was not seemingly correlated to local neural activity. Furthermore, as cognitive tasks changed, the ongoing coordination of neural activity associated to slow ripples progressively augmented along the parahippocampal axis. Thus, during resting states, slow ripples were coordinated in restricted hippocampal territories; whereas during active states, such as attentionally-demanding tasks, high frequency activity emerged across the hippocampus and parahippocampal cortex, that was synchronized with slow ripples, consistent with ripples supporting information transfer and coupling anatomically distant regions. Hence, our results provide further evidence of neural diversity in hippocampal high-frequency oscillations and their association to cognitive processing in humans.

Irrelevant stimulus processing in ADHD: catecholamine dynamics and attentional networks.

A cardinal symptom of attention deficit and hyperactivity disorder (ADHD) is a general distractibility where children and adults shift their attentional focus to stimuli that are irrelevant to the ongoing behavior. This has been attributed to a deficit in dopaminergic signaling in cortico-striatal networks that regulate goal-directed behavior. Furthermore, recent imaging evidence points to an impairment of large scale, antagonistic brain networks that normally contribute to attentional engagement and disengagement, such as the task-positive networks and the default mode network (DMN). Related networks are the ventral attentional network (VAN) involved in attentional shifting, and the salience network (SN) related to task expectancy. Here we discuss the tonic-phasic dynamics of catecholaminergic signaling in the brain, and attempt to provide a link between this and the activities of the large-scale cortical networks that regulate behavior. More specifically, we propose that a disbalance of tonic catecholamine levels during task performance produces an emphasis of phasic signaling and increased excitability of the VAN, yielding distractibility symptoms. Likewise, immaturity of the SN may relate to abnormal tonic signaling and an incapacity to build up a proper executive system during task performance. We discuss different lines of evidence including pharmacology, brain imaging and electrophysiology, that are consistent with our proposal. Finally, restoring the pharmacodynamics of catecholaminergic signaling seems crucial to alleviate ADHD symptoms; however, the possibility is open to explore cognitive rehabilitation strategies to top-down modulate network dynamics compensating the pharmacological deficits.

Oscillatory bursts in the optic tectum of birds represent re-entrant signals from the nucleus isthmi pars parvocellularis.

Fast oscillatory bursts (OBs; 500-600 Hz) are the most prominent response to visual stimulation in the optic tectum of birds. To investigate the neural mechanisms generating tectal OBs, we compared local recordings of OBs with simultaneous intracellular and extracellular single-unit recordings in the tectum of anesthetized pigeons. We found a specific population of units that responded with burst discharges that mirrored the burst pattern of OBs. Intracellular filling with biocytin of some of these bursting units demonstrated that they corresponded to the paintbrush axon terminals from the nucleus isthmi pars parvocellularis (Ipc). Direct recordings in the Ipc confirmed the high correlation between Ipc cell firing and tectal OBs. After injecting micro-drops of lidocaine in the Ipc, the OBs of the corresponding tectal locus disappeared completely. These results identify the paintbrush terminals as the neural elements generating tectal OBs. These terminals are presumably cholinergic and ramify across tectal layers in a columnar manner. Because the optic tectum and the Ipc are reciprocally connected such that each Ipc neuron sends a paintbrush axon to the part of the optic tectum from which its visual inputs come, tectal OBs represent re-entrant signals from the Ipc, and the spatial-temporal pattern of OBs across the tectum is the mirror representation of the spatial-temporal pattern of bursting neurons in the Ipc. We propose that an active location in the Ipc may act, via bursting paintbrushes in the tectum, as a focal "beam of attention" across tectal layers, enhancing the saliency of stimuli in the corresponding location in visual space.