103 research outputs found
ERP measures of math anxiety:how math anxiety affects working memory and mental calculation tasks?
There have been several attempts to account for the impact of Mathematical Anxiety (MA) on brain activity with variable results. The present study examines the effects of MA on ERP amplitude during performance of simple arithmetic calculations and working memory tasks. Data were obtained from 32 university students as they solved four types of arithmetic problems (one- and two-digit addition and multiplication) and a working memory task comprised of three levels of difficulty (1, 2, and 3-back task). Compared to the Low-MA group, High-MA individuals demonstrated reduced ERP amplitude at frontocentral (between 180-320 ms) and centroparietal locations (between 380-420 ms). These effects were independent of task difficulty/complexity, individual performance, and general state/trait anxiety levels. Results support the hypothesis that higher levels of self-reported MA are associated with lower cortical activation during the early stages of the processing of numeric stimuli in the context of cognitive tasks
Typical and aberrant functional brain flexibility: lifespan development and aberrant organization in traumatic brain injury and dyslexia
Intrinsic functional connectivity networks derived from different neuroimaging methods and connectivity estimators have revealed robust developmental trends linked to behavioural and cognitive maturation. The present study employed a dynamic functional connectivity approach to determine dominant intrinsic coupling modes in resting-state neuromagnetic data from 178 healthy participants aged 8–60 years. Results revealed significant developmental trends in three types of dominant intra- and inter-hemispheric neuronal population interactions (amplitude envelope, phase coupling, and phase-amplitude synchronization) involving frontal, temporal, and parieto-occipital regions. Multi-class support vector machines achieved 89% correct classification of participants according to their chronological age using dynamic functional connectivity indices. Moreover, systematic temporal variability in functional connectivity profiles, which was used to empirically derive a composite flexibility index, displayed an inverse U-shaped curve among healthy participants. Lower flexibility values were found among age-matched children with reading disability and adults who had suffered mild traumatic brain injury. The importance of these results for normal and abnormal brain development are discussed in light of the recently proposed role of cross-frequency interactions in the fine-grained coordination of neuronal population activity
Functional connectivity-hemodynamic (un)coupling changes in chronic mild brain injury are associated with mental health and neurocognitive indices: a resting state fMRI study.
peer reviewedPURPOSE: To examine hemodynamic and functional connectivity alterations and their association with neurocognitive and mental health indices in patients with chronic mild traumatic brain injury (mTBI).
METHODS: Resting-state functional MRI (rs-fMRI) and neuropsychological assessment of 37 patients with chronic mTBI were performed. Intrinsic connectivity contrast (ICC) and time-shift analysis (TSA) of the rs-fMRI data allowed the assessment of regional hemodynamic and functional connectivity disturbances and their coupling (or uncoupling). Thirty-nine healthy age- and gender-matched participants were also examined.
RESULTS: Patients with chronic mTBI displayed hypoconnectivity in bilateral hippocampi and parahippocampal gyri and increased connectivity in parietal areas (right angular gyrus and left superior parietal lobule (SPL)). Slower perfusion (hemodynamic lag) in the left anterior hippocampus was associated with higher self-reported symptoms of depression (r = - 0.53, p = .0006) and anxiety (r = - 0.484, p = .002), while faster perfusion (hemodynamic lead) in the left SPL was associated with lower semantic fluency (r = - 0.474, p = .002). Finally, functional coupling (high connectivity and hemodynamic lead) in the right anterior cingulate cortex (ACC)) was associated with lower performance on attention and visuomotor coordination (r = - 0.50, p = .001), while dysfunctional coupling (low connectivity and hemodynamic lag) in the left ventral posterior cingulate cortex (PCC) and right SPL was associated with lower scores on immediate passage memory (r = - 0.52, p = .001; r = - 0.53, p = .0006, respectively). Uncoupling in the right extrastriate visual cortex and posterior middle temporal gyrus was negatively associated with cognitive flexibility (r = - 0.50, p = .001).
CONCLUSION: Hemodynamic and functional connectivity differences, indicating neurovascular (un)coupling, may be linked to mental health and neurocognitive indices in patients with chronic mTBI
Greater repertoire and temporal variability of cross-frequency coupling (CFC) modes in resting-state neuromagnetic recordings among children with reading difficulties
Cross-frequency, phase-to-amplitude coupling (PAC) between neuronal oscillations at rest may serve as the substrate that supports information exchange between functionally specialized neuronal populations both within and between cortical regions. The study utilizes novel algorithms to identify prominent instantaneous modes of cross-frequency coupling and their temporal stability in resting state magnetoencephalography (MEG) data from 25 students experiencing severe reading difficulties (RD) and 27 age-matched non-impaired readers (NI). Phase coherence estimates were computed in order to identify the prominent mode of PAC interaction for each sensor, sensor pair, and pair of frequency bands (from δ to γ) at successive time windows of the continuous MEG record. The degree of variability in the characteristic frequency-pair PACf1−f2 modes over time was also estimated. Results revealed a wider repertoire of prominent PAC interactions in RD as compared to NI students, suggesting an altered functional substrate for information exchange between neuronal assemblies in the former group. Moreover, RD students showed significant variability in PAC modes over time. This temporal instability of PAC values was particularly prominent: (a) within and between right hemisphere temporo-parietal and occipito-temporal sensors and, (b) between left hemisphere frontal, temporal, and occipito-temporal sensors and corresponding right hemisphere sites. Altered modes of neuronal population coupling may help account for extant data revealing reduced, task-related neurophysiological and hemodynamic activation in left hemisphere regions involved in the reading network in RD. Moreover, the spatial distribution of pronounced instability of cross-frequency coupling modes in this group may provide an explanation for previous reports suggesting the presence of inefficient compensatory mechanisms to support reading
Video-Based Depression Detection Using Local Curvelet Binary Patterns in Pairwise Orthogonal Planes
International audienceDepression is an increasingly prevalent mood disorder. This is the reason why the field of computer-based depression assessment has been gaining the attention of the research community during the past couple of years. The present work proposes two algorithms for depression detection, one Frame-based and the second Video-based, both employing Curvelet transform and Local Binary Patterns. The main advantage of these methods is that they have significantly lower computational requirements, as the extracted features are of very low dimensionality. This is achieved by modifying the previously proposed algorithm which considers Three-Orthogonal-Planes, to only Pairwise-Orthogonal-Planes. Performance of the algorithms was tested on the benchmark dataset provided by the Audio/Visual Emotion Challenge 2014, with the person-specific system achieving 97.6% classification accuracy, and the person-independed one yielding promising preliminary results of 74.5% accuracy. The paper concludes with open issues, proposed solutions, and future plans
Ακαδημαϊκή αναβλητικότητα και οι συνέπειές της στην ημερήσια σχολική προετοιμασία και το άγχος: Μια έρευνα ποσοτικού ημερολογίου σε μαθητές Δημοτικού
The present quantitative diary study examines whether trait academic procrastination shapes the way students perceive their daily academic workload and, in turn, their state (i.e., daily) academic procrastination. This process was expected to determine the extent to which students are satisfied with their preparation for the next day at school and consequently, their anxiety levels at the end of the day. Forty-four elementary school students completed a questionnaire and a diary for five consecutive days over a school week. Results of multilevel analyses confirmed the study hypotheses. Specifically, the positive relationship between trait and state procrastination was supported, while academic workload was found to mediate this relationship. Additionally, daily academic procrastination associated positively to anxiety at the end of the day through its negative link with students’ satisfaction with preparation for the next school day. These findings suggest that even students high in trait academic procrastination exhibit significant within-person variations in daily procrastination, satisfaction with their preparation for the next day at school and anxiety at the end of the day. These daily variations are explained by the daily level of perceived academic workload.Η παρούσα μελέτη ποσοτικού ημερολογίου εξετάζει αν η ακαδημαϊκή αναβλητικότητα, ως σχετικά σταθερό ατομικό χαρακτηριστικό, διαμορφώνει τον τρόπο που οι μαθητές αντιλαμβάνονται το σχολικό φόρτο σε ημερήσιο επίπεδο και εν συνεχεία, την εμφάνιση αναβλητικών συμπεριφορών σε σχέση με την προετοιμασία τους για το σχολείο. Αυτή η διαδικασία προτάθηκε ότι καθορίζει το βαθμό που οι μαθητές είναι ικανοποιημένοι με την προετοιμασία τους για την επόμενη μέρα στο σχολείο και κατ’ επέκταση τα επίπεδα άγχους τους στο τέλος της ημέρας. Σαράντα-τέσσερις μαθητές Δημοτικού συμπλήρωσαν ένα ερωτηματολόγιο και ένα ημερολόγιο για πέντε διαδοχικές ημέρες κατά τη διάρκεια μιας σχολικής εβδομάδας. Τα αποτελέσματα πολύ-επίπεδων αναλύσεων επιβεβαίωσαν τις υποθέσεις της έρευνας. Συγκεκριμένα, βρέθηκε θετική σχέση ανάμεσα στην αναβλητικότητα ως σταθερό χαρακτηριστικό και ως ημερήσια κατάσταση, ενώ επιβεβαιώθηκε και ο διαμεσολαβητικός ρόλος του ημερήσιου σχολικού φόρτου στη σχέση αυτή. Επιπρόσθετα, βρέθηκε ότι η ημερήσια ακαδημαϊκή αναβλητικότητα σχετίζεται θετικά με το ημερήσιο άγχος δια μέσου της αρνητικής της σχέσης με την ικανοποίηση από την προετοιμασία των μαθημάτων για την επόμενη μέρα. Τα αποτελέσματα της έρευνας δείχνουν ότι ακόμα και οι αναβλητικοί μαθητές εμφανίζουν ενδο-ατομικές διακυμάνσεις ως προς τα επίπεδα καταστασιακής ακαδημαϊκής αναβλητικότητας, ικανοποίησης με την προετοιμασία τους για την επόμενη μέρα στο σχολείο και άγχους στο τέλος της ημέρας. Αυτές οι διακυμάνσεις εξηγούνται από τα επίπεδα του ημερήσιου, αντιλαμβανόμενου σχολικού φόρτου
Aberrant resting-state functional brain networks in dyslexia: Symbolic mutual information analysis of neuromagnetic signals
Neuroimaging studies have identified a variety of structural and functional connectivity
abnormalities in students experiencing reading difficulties. The present study adopted a novel
approach to assess the dynamics of resting-state neuromagnetic recordings in the form of
symbolic sequences (i.e., repeated patterns of neuromagnetic fluctuations within and/or
between sensors).
Participants were 25 students experiencing severe reading difficulties (RD) and 27 agematched
non-impaired readers (NI) aged 7-14 years. Sensor-level data were first represented
as symbolic sequences in eight conventional frequency bands. Next, dominant types of sensorto-
sensor interactions in the form of intra and cross-frequency coupling were computed and
subjected to graph modeling to assess group differences in global network characteristics.
As a group RD students displayed predominantly within-frequency interactions
between neighboring sensors which may reflect reduced overall global network efficiency and
cost-efficiency of information transfer. In contrast, sensor networks among NI students
featured a higher proportion of cross-frequency interactions. Brain-reading achievement
associations highlighted the role of left hemisphere temporo-parietal functional networks, at
rest, for reading acquisition and ability
Neuroticism and Extraversion in Patients Suffering from Hand Pain
Morbid conditions of the hand usually provoke intense pain. The relationship between the experience of pain and personality characteristics have been studied extensively. The aim of the study was to assess the relationship between personality characteristics, e.g. neuroticism and extraversion, and pain intensity in patients with hand conditions, and to examine possible differences between patients and healthy individuals. Numerical Rating Scale (NRS) and the Neuroticism (EPQ-N) and Extraversion (EPQ-E) subscales of Eysenck Personality Questionnaire- Revised (short form) were administered to 104 patients of an outpatient orthopaedic clinic. Moreover, 65 healthy individuals were used as a control group. Bivariate correlational analyses was used to examine the relationship between neuroticism, extraversion and pain intensity. Neither neuroticism nor extraversion correlated with pain intensity. One-way analysis of variance was conducted to examine the differences between patients and controls concerning neuroticism and extraversion. Patients had significantly higher scores in both personality characteristics of neuroticism and extraversion. The assessment of personality characteristics in patients with pain may be an important factor for the design of more effective interventions for pain management
Classifying children with reading difficulties from non-impaired readers via symbolic dynamics and complexity analysis of MEG resting-state data
Magnetoencephalography (MEG) is a brain imaging method affording real-time temporal, and adequate spatial resolution to reveal aberrant neurophysiological function associated with dyslexia. In this study we analyzed sensor-level resting-state neuromagnetic recordings from 25 reading-disabled children and 27 non-impaired readers under the notion of symbolic dynamics and complexity analysis. We compared two techniques for estimating the complexity of MEG time-series in each of 8 frequency bands based on symbolic dynamics: (a) Lempel-Ziv complexity (LZC) entailing binarization of each MEG time series using the mean amplitude as a threshold, and (b) An approach based on the neural-gas algorithm (NG) which has been used by our group in the context of various symbolization schemes. The NG approach transforms each MEG time series to more than two symbols by learning the reconstructed manifold of each time series with a small error. Using this algorithm we computed a complexity index (CI) based on the distribution of words up to a predetermined length. The relative performance of the two complexity indexes was assessed using a classification procedure based on k-NN and Support Vector Machines. Results revealed the capacity of CI to discriminate impaired from non-impaired readers with 80% accuracy. Corresponding performance of LZC values did not exceed 55%. These findings indicate that symbolization of MEG recordings with an appropriate neuroinformatic approach, such as the proposed CI metric, may be of value in understanding the neural dynamics of dyslexia
Early signs of memory impairment among multiple sclerosis patients with clinically isolated syndrome
Abstract. The study investigates primary and secondary verbal memory and motor/executive functions (response inhibition and strategy shifting ability) in multiple sclerosis (MS) patients with clinically isolated syndrome (CIS). We studied 44 CIS patients and compared them to 49 patients with relapsing remitting MS (RR-MS) displaying mild disability and to a large cohort of ageand education level-matched healthy volunteers (n = 230). Results showed that both CIS and RR-MS patients evidenced a disproportionate impairment in the immediate and delayed recall of the second (as compared to the first) of two short narratives of the Logical Memory WMS-III subtest, and reduced performance on the Memory for Digits-Forward. Performance of either group on the executive tasks was not impaired, showing evidence of a reversed speed-accuracy trade-off. Illness duration emerged as a significant predictor of memory and executive task performance. Clinical, psychoemotional, and brain imaging findings were also examined as potential correlates of memory deficits and disease progression among CIS patients. These findings may signify early-onset decline of specific cognitive functions in CIS, which merits regular follow-up assessments and monitoring of psychoemotional adaptation and everyday functioning
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