A shift to randomness of brain oscillations in people with autism

BACKGROUND: Resting-state functional magnetic resonance imaging (fMRI) enables investigation of the intrinsic functional organization of the brain. Fractal parameters such as the Hurst exponent, H, describe the complexity of endogenous low-frequency fMRI time series on a continuum from random (H = .5) to ordered (H = 1). Shifts in fractal scaling of physiological time series have been associated with neurological and cardiac conditions. METHODS: Resting-state fMRI time series were recorded in 30 male adults with an autism spectrum condition (ASC) and 33 age- and IQ-matched male volunteers. The Hurst exponent was estimated in the wavelet domain and between-group differences were investigated at global and voxel level and in regions known to be involved in autism. RESULTS: Complex fractal scaling of fMRI time series was found in both groups but globally there was a significant shift to randomness in the ASC (mean H = .758, SD = .045) compared with neurotypical volunteers (mean H = .788, SD = .047). Between-group differences in H, which was always reduced in the ASC group, were seen in most regions previously reported to be involved in autism, including cortical midline structures, medial temporal structures, lateral temporal and parietal structures, insula, amygdala, basal ganglia, thalamus, and inferior frontal gyrus. Severity of autistic symptoms was negatively correlated with H in retrosplenial and right anterior insular cortex. CONCLUSIONS: Autism is associated with a small but significant shift to randomness of endogenous brain oscillations. Complexity measures may provide physiological indicators for autism as they have done for other medical conditions.

Brain oscillations and connectivity in autism spectrum disorders (ASD):new approaches to methodology, measurement and modelling

Although atypical social behaviour remains a key characterisation of ASD, the presence ofsensory and perceptual abnormalities has been given a more central role in recentclassification changes. An understanding of the origins of such aberrations could thus prove afruitful focus for ASD research. Early neurocognitive models of ASD suggested that thestudy of high frequency activity in the brain as a measure of cortical connectivity mightprovide the key to understanding the neural correlates of sensory and perceptual deviations inASD. As our review shows, the findings from subsequent research have been inconsistent,with a lack of agreement about the nature of any high frequency disturbances in ASD brains.Based on the application of new techniques using more sophisticated measures of brainsynchronisation, direction of information flow, and invoking the coupling between high andlow frequency bands, we propose a framework which could reconcile apparently conflictingfindings in this area and would be consistent both with emerging neurocognitive models ofautism and with the heterogeneity of the condition.

Brain dynamics of mild cognitive impairment during face encoding

Brain oscillations are closely correlated with human information processing and fundamental aspects of cognition. Previous literature shows that due to the relation between brain oscillations and memory processes, spectral dynamics during such tasks are good candidates to study and characterize memory related pathologies. Mild cognitive impairment (MCI), defined as a clinical condition characterized by memory impairment and/ or deterioration of additional cognitive domains, is considered a preliminary stage in the dementia process. In consequence, the study of its brain patterns could help to achieve an early diagnosis of Alzheimer Disease.

Watching the brain oscillate: Identifying the neural correlates of illusory jitter

Moving borders defined by small luminance changes (or colour) can appear to jitter at a characteristic frequency when they are placed in close proximity to moving borders defined by large luminance changes (Arnold & Johnston, 2003). Using psychophysical techniques, we have now shown that illusory jitter can be generated when these different motion signals are shown selectively to either eye – implicating a cortical locus for illusory jitter generation. Using magneto-enceohalography (MEG) to record brain activity, we have also found that brain oscillations, of the same frequency as the illusory jitter rate, are enhanced when illusory jitter is experienced. This does not occur when observers are exposed to either isolated motion signals defined by small luminance changes (or colour) or to physical jitter of the same frequency as the illusory jitter. We believe therefore that the enhanced brain activity is related to illusory jitter generation rather than to jitter perception, or to isoluminant motion, per se. These observations support our hypothesis that this illusory jitter is generated in cortex by a dynamic feedback circuit. We believe that this circuit periodically corrects for a spatial conflict generated by proximate motion signals that differ in perceived speed.

Activité cérébrale reliée à la rétention des sons en mémoire à court-terme auditive

Une variété d’opérations cognitives dépend de la capacité de retenir de l’information auditive pour une courte période de temps. Notamment l’information auditive prend son sens avec le temps; la rétention d’un son disparu permet donc de mieux comprendre sa signification dans le contexte auditif et mène ultimement à une interaction réussite avec l’environnement. L’objectif de cette thèse était d’étudier l’activité cérébrale reliée à la rétention des sons et, ce faisant, parvenir à une meilleure compréhension des mécanismes de bas niveau de la mémoire à court-terme auditive. Trois études empiriques se sont penchées sur différents aspects de la rétention des sons. Le premier article avait pour but d’étudier les corrélats électrophysiologiques de la rétention des sons variant en timbre en utilisant la technique des potentiels reliés aux événements. Une composante fronto-centrale variant avec la charge mnésique a été ainsi révélée. Dans le deuxième article, le patron électro-oscillatoire de la rétention a été exploré. Cette étude a dévoilé une augmentation de l’amplitude variant avec la charge mnésique dans la bande alpha pendant la rétention des sons ainsi qu’une dissociation entre l’activité oscillatoire observée pendant la rétention et celle observée pendant la présentation des sons test. En démontrant des différentes modulations des amplitudes dans la bande alpha et la bande beta, cette étude a pu révéler des processus distincts mais interdépendants de la mémoire à court-terme auditive. Le troisième article a davantage visé à mieux connaître les structures cérébrales soutenant la rétention de sons. L’activité cérébrale a été mesurée avec la magnétoencéphalographie, et des localisations des sources ont été effectuées à partir de ces données. Les résultats ont dévoilé l’implication d’un réseau cérébral contenant des structures temporales, frontales, et pariétales qui était plus important dans l’hémisphère droit que dans l’hémisphère gauche. Les résultats des études empiriques ont permis de souligner l’aspect sensoriel de la mémoire à court-terme auditive et de montrer des similarités dans la rétention de différentes caractéristiques tonales. Dans leur ensemble, les études ont contribué à l’identification des processus neuronaux reliés à la rétention des sons en étudiant l’activité électromagnétique et l’implication des structures cérébrales correspondantes sur une échelle temporelle fine.

Corrélats neuronaux de la mémoire de travail en magnétoencéphalographie à l’état de repos.

Purpose: There are few studies demonstrating the link between neural oscillations in magnetoencephalography (MEG) at rest and cognitive performance. Working memory is one of the most studied cognitive processes and is the ability to manipulate information on items kept in short-term memory. Heister & al. (2013) showed correlation patterns between brain oscillations at rest in MEG and performance in a working memory task (n-back). These authors showed that delta/theta activity in fronto-parietal areas is related to working memory performance. In this study, we use resting state MEG oscillations to validate these correlations with both of verbal (VWM) and spatial (SWM) working memory, and test their specificity in comparison with other cognitive abilities. Methods: We recorded resting state MEG and used clinical neuropsychological tests to assess working memory performance in 18 volunteers (6 males and 12 females). The other neuropsychological tests of the WAIS-IV were used as control tests to assess the specificity of the correlation patterns with working memory. We calculated means of Power Spectrum Density for different frequency bands (delta, 1-4Hz; theta, 4-8Hz; alpha, 8-13Hz; beta, 13-30Hz; gamma1, 30-59Hz; gamma2, 61-90Hz; gamma3, 90-120Hz; large gamma, 30-120Hz) and correlated MEG power normalised for the maximum in each frequency band at the sensor level with working memory performance. We then grouped the sensors showing a significant correlation by using a cluster algorithm. Results: We found positive correlations between both types of working memory performance and clusters in the bilateral posterior and right fronto-temporal regions for the delta band (r2 =0.73), in the fronto-middle line and right temporal regions for the theta band (r2 =0.63) as well as in the parietal regions for the alpha band (r2 =0.78). Verbal working memory and spatial working memory share a common fronto-parietal cluster of sensors but also show specific clusters. These clusters are specific to working memory, as compared to those obtained for other cognitive abilities and right posterior parietal areas, specially in slow frequencies, appear to be specific to working memory process. Conclusions: Slow frequencies (1-13Hz) but more precisely in delta/theta bands (1-8Hz), recorded at rest with magnetoencephalography, predict working memory performance and support the role of a fronto-parietal network in working memory.

Dysfunctional and compensatory duality in mild cognitive impairment during a continuous recognition memory task

One of the current issues of debate in the study of mild cognitive impairment (MCI) is deviations of oscillatory brain responses from normal brain states and its dynamics. This work aims to characterize the differences of power in brain oscillations during the execution of a recognition memory task in MCI subjects in comparison with elderly controls. Magnetoencephalographic (MEG) signals were recorded during a continuous recognition memory task performance. Oscillatory brain activity during the recognition phase of the task was analyzed by wavelet transform in the source space by means of minimum norm algorithm. Both groups obtained a 77% hit ratio. In comparison with healthy controls, MCI subjects showed increased theta (p < 0.001), lower beta reduction (p < 0.001) and decreased alpha and gamma power (p < 0.002 and p < 0.001 respectively) in frontal, temporal and parietal areas during early and late latencies. Our results point towards a dual pattern of activity (increase and decrease) which is indicative of MCI and specific to certain time windows, frequency bands and brain regions. These results could represent two neurophysiological sides of MCI. Characterizing these opposing processes may contribute to the understanding of the disorder.

Corrélats neuronaux de la mémoire de travail en magnétoencéphalographie à l’état de repos

Purpose: There are few studies demonstrating the link between neural oscillations in magnetoencephalography (MEG) at rest and cognitive performance. Working memory is one of the most studied cognitive processes and is the ability to manipulate information on items kept in short-term memory. Heister & al. (2013) showed correlation patterns between brain oscillations at rest in MEG and performance in a working memory task (n-back). These authors showed that delta/theta activity in fronto-parietal areas is related to working memory performance. In this study, we use resting state MEG oscillations to validate these correlations with both of verbal (VWM) and spatial (SWM) working memory, and test their specificity in comparison with other cognitive abilities. Methods: We recorded resting state MEG and used clinical neuropsychological tests to assess working memory performance in 18 volunteers (6 males and 12 females). The other neuropsychological tests of the WAIS-IV were used as control tests to assess the specificity of the correlation patterns with working memory. We calculated means of Power Spectrum Density for different frequency bands (delta, 1-4Hz; theta, 4-8Hz; alpha, 8-13Hz; beta, 13-30Hz; gamma1, 30-59Hz; gamma2, 61-90Hz; gamma3, 90-120Hz; large gamma, 30-120Hz) and correlated MEG power normalised for the maximum in each frequency band at the sensor level with working memory performance. We then grouped the sensors showing a significant correlation by using a cluster algorithm. Results: We found positive correlations between both types of working memory performance and clusters in the bilateral posterior and right fronto-temporal regions for the delta band (r2 =0.73), in the fronto-middle line and right temporal regions for the theta band (r2 =0.63) as well as in the parietal regions for the alpha band (r2 =0.78). Verbal working memory and spatial working memory share a common fronto-parietal cluster of sensors but also show specific clusters. These clusters are specific to working memory, as compared to those obtained for other cognitive abilities and right posterior parietal areas, specially in slow frequencies, appear to be specific to working memory process. Conclusions: Slow frequencies (1-13Hz) but more precisely in delta/theta bands (1-8Hz), recorded at rest with magnetoencephalography, predict working memory performance and support the role of a fronto-parietal network in working memory.

Pharmacologically induced and stimulus evoked rhythmic neuronal oscillatory activity in the primary motor cortex in vitro

Parkinson's disease (PD) is associated with enhanced synchronization of neuronal network activity in the beta (15-30 Hz) frequency band across several nuclei of the basal ganglia (BG). Deep brain stimulation of the subthalamic nucleus (STN) appears to reduce this pathological oscillation, thereby alleviating PD symptoms. However, direct stimulation of primary motor cortex (M1) has recently been shown to be effective in reducing symptoms in PD, suggesting a role for cortex in patterning pathological rhythms. Here, we examine the properties of M1 network oscillations in coronal slices taken from rat brain. Oscillations in the high beta frequency range (layer 5, 27.8 +/- 1.1 Hz, n=6) were elicited by co-application of the glutamate receptor agonist kainic acid (400 nM) and muscarinic receptor agonist carbachol (50 mu M). Dual extracellular recordings, local application of tetrodotoxin and recordings in M1 micro-sections indicate that the activity originates within deep layers V/VI. Beta oscillations were unaffected by specific AMPA receptor blockade, abolished by the GABA type A receptor (GABAAR) antagonist picrotoxin and the gap-junction blocker carbenoxolone, and modulated by pentobarbital and zolpidem indicating dependence on networks of GABAergic interneurons and electrical coupling. High frequency stimulation (HFS) at 125 Hz in superficial layers, designed to mimic transdural/transcranial stimulation, generated gamma oscillations in layers 11 and V (incidence 95%, 69.2 +/- 7.3 Hz, n=17) with very fast oscillatory components (VFO; 100-250 Hz). Stimulation at 4 Hz, however, preferentially promoted theta activity (incidence 62.5%, 5.1 +/- 0.6 Hz, n=15) that effected strong amplitude modulation of ongoing beta activity. Stimulation at 20 Hz evoked mixed theta and gamma responses. These data suggest that within M1, evoked theta, gamma and fast oscillations may coexist with and in some cases modulate pharmacologically induced beta oscillations.

Brain electrophysiological oscillations and vision loss in occipital stroke patients

Universität Magdeburg, Dissertation, 2016

Differential entrainment of neuroelectric delta oscillations in developmental dyslexia

Oscillatory entrainment to the speech signal is important for language processing, but has not yet been studied in developmental disorders of language. Developmental dyslexia, a difficulty in acquiring efficient reading skills linked to difficulties with phonology (the sound structure of language), has been associated with behavioural entrainment deficits. It has been proposed that the phonological ‘deficit’ that characterises dyslexia across languages is related to impaired auditory entrainment to speech at lower frequencies via neuroelectric oscillations (<10 Hz, ‘temporal sampling theory’). Impaired entrainment to temporal modulations at lower frequencies would affect the recovery of the prosodic and syllabic structure of speech. Here we investigated event-related oscillatory EEG activity and contingent negative variation (CNV) to auditory rhythmic tone streams delivered at frequencies within the delta band (2 Hz, 1.5 Hz), relevant to sampling stressed syllables in speech. Given prior behavioural entrainment findings at these rates, we predicted functionally atypical entrainment of delta oscillations in dyslexia. Participants performed a rhythmic expectancy task, detecting occasional white noise targets interspersed with tones occurring regularly at rates of 2 Hz or 1.5 Hz. Both groups showed significant entrainment of delta oscillations to the rhythmic stimulus stream, however the strength of inter-trial delta phase coherence (ITC, ‘phase locking’) and the CNV were both significantly weaker in dyslexics, suggestive of weaker entrainment and less preparatory brain activity. Both ITC strength and CNV amplitude were significantly related to individual differences in language processing and reading. Additionally, the instantaneous phase of prestimulus delta oscillation predicted behavioural responding (response time) for control participants only.

Understanding the abnormal brain activity in epilepsy as a potential predictor of the onset of an epileptic seizure

The Brain Research Institute (BRI) uses various types of indirect measurements, including EEG and fMRI, to understand and assess brain activity and function. As well as the recovery of generic information about brain function, research also focuses on the utilisation of such data and understanding to study the initiation, dynamics, spread and suppression of epileptic seizures. To assist with the future focussing of this aspect of their research, the BRI asked the MISG 2010 participants to examine how the available EEG and fMRI data and current knowledge about epilepsy should be analysed and interpreted to yield an enhanced understanding about brain activity occurring before, at commencement of, during, and after a seizure. Though the deliberations of the study group were wide ranging in terms of the related matters considered and discussed, considerable progress was made with the following three aspects. (1) The science behind brain activity investigations depends crucially on the quality of the analysis and interpretation of, as well as the recovery of information from, EEG and fMRI measurements. A number of specific methodologies were discussed and formalised, including independent component analysis, principal component analysis, profile monitoring and change point analysis (hidden Markov modelling, time series analysis, discontinuity identification). (2) Even though EEG measurements accurately and very sensitively record the onset of an epileptic event or seizure, they are, from the perspective of understanding the internal initiation and localisation, of limited utility. They only record neuronal activity in the cortical (surface layer) neurons of the brain, which is a direct reflection of the type of electrical activity they have been designed to record. 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Oscillatory brain activity in memory disorders

Neuronal oscillations are thought to underlie interactions between distinct brain regions required for normal memory functioning. This study aimed at elucidating the neuronal basis of memory abnormalities in neurodegenerative disorders. Magnetoencephalography (MEG) was used to measure oscillatory brain signals in patients with Alzheimer s disease (AD), a neurodegenerative disease causing progressive cognitive decline, and mild cognitive impairment (MCI), a disorder characterized by mild but clinically significant complaints of memory loss without apparent impairment in other cognitive domains. Furthermore, to help interpret our AD/MCI results and to develop more powerful oscillatory MEG paradigms for clinical memory studies, oscillatory neuronal activity underlying declarative memory, the function which is afflicted first in both AD and MCI, was investigated in a group of healthy subjects. An increased temporal-lobe contribution coinciding with parieto-occipital deficits in oscillatory activity was observed in AD patients: sources in the 6 12.5 Hz range were significantly stronger in the parieto-occipital and significantly weaker in the right temporal region in AD patients, as compared to MCI patients and healthy elderly subjects. Further, the auditory steady-state response, thought to represent both evoked and induced activity, was enhanced in AD patients, as compared to controls, possibly reflecting decreased inhibition in auditory processing and deficits in adaptation to repetitive stimulation with low relevance. Finally, the methodological study revealed that successful declarative encoding and retrieval is associated with increases in occipital gamma and right hemisphere theta power in healthy unmedicated subjects. This result suggests that investigation of neuronal oscillations during cognitive performance could potentially be used to investigate declarative memory deficits in AD patients. Taken together, the present results provide an insight on the role of brain oscillatory activity in memory function and memory disorders.

Cellular Mechanisms of Sleep Homeostasis : Studies on Brain Energy Metabolism and Aging

Sleep is governed by a homeostatic process in which the duration and quality of previous wake regulate the subsequent sleep. Active wakefulness is characterized with high frequency cortical oscillations and depends on stimulating influence of the arousal systems, such as the cholinergic basal forebrain (BF), while cessation of the activity in the arousal systems is required for slow wave sleep (SWS) to occur. The site-specific accumulation of adenosine (a by-product of ATP breakdown) in the BF during prolonged waking /sleep deprivation (SD) is known to induce sleep, thus coupling energy demand to sleep promotion. The adenosine release in the BF is accompanied with increases in extracellular lactate and nitric oxide (NO) levels. This thesis was aimed at further understanding the cellular processes by which the BF is involved in sleep-wake regulation and how these processes are affected by aging. The BF function was studied simultaneously at three levels of organization: 1) locally at a cellular level by measuring energy metabolites 2) globally at a cortical level (the out-put area of the BF) by measuring EEG oscillations and 3) at a behavioral level by studying changes in vigilance states. Study I showed that wake-promoting BF activation, particularly with glutamate receptor agonist N-methyl-D-aspatate (NMDA), increased extracellular adenosine and lactate levels and led to a homeostatic increase in the subsequent sleep. Blocking NMDA activation during SD reduced the high frequency (HF) EEG theta (7-9 Hz) power and attenuated the subsequent sleep. In aging, activation of the BF during SD or experimentally with NMDA (studies III, IV), did not induce lactate or adenosine release and the increases in the HF EEG theta power during SD and SWS during the subsequent sleep were attenuated as compared to the young. These findings implicate that increased or continuous BF activity is important for active wake maintenance during SD as well as for the generation of homeostatic sleep pressure, and that in aging these mechanisms are impaired. Study II found that induction of the inducible NO synthase (iNOS) during SD is accompanied with activation of the AMP-activated protein kinase (AMPK) in the BF. Because decreased cellular energy charge is the most common cause for AMPK activation, this finding implicates that the BF is selectively sensitive to the metabolic demands of SD as increases were not found in the cortex. In aging (study III), iNOS expression and extracellular levels of NO and adenosine were not significantly increased during SD in the BF. Furthermore, infusion of NO donor into the BF did not lead to sleep promotion as it did in the young. These findings indicated that the NO (and adenosine) mediated sleep induction is impaired in aging and that it could at least partly be due to the reduced sensitivity of the BF to sleep-inducing factors. Taken together, these findings show that reduced sleep promotion by the BF contributes to the attenuated homeostatic sleep response in aging.