Spontaneous brain activity and EEG microstates. A novel EEG/fMRI analysis approach to explore resting-state networks.

The brain is active even in the absence of explicit input or output as demonstrated from electrophysiological as well as imaging studies. Using a combined approach we measured spontaneous fluctuations in the blood oxygen level dependent (BOLD) signal along with electroencephalography (EEG) in eleven healthy subjects during relaxed wakefulness (eyes closed). In contrast to other studies which used the EEG frequency information to guide the functional MRI (fMRI) analysis, we opted for transient EEG events, which identify and quantify brain electric microstates as time epochs with quasi-stable field topography. We then used this microstate information as regressors for the BOLD fluctuations. Single trial EEGs were segmented with a specific module of the LORETA (low resolution electromagnetic tomography) software package in which microstates are represented as normalized vectors constituted by scalp electric potentials, i.e., the related 3-dimensional distribution of cortical current density in the brain. Using the occurrence and the duration of each microstate, we modeled the hemodynamic response function (HRF) which revealed BOLD activation in all subjects. The BOLD activation patterns resembled well known resting-state networks (RSNs) such as the default mode network. Furthermore we "cross validated" the data performing a BOLD independent component analysis (ICA) and computing the correlation between each ICs and the EEG microstates across all subjects. This study shows for the first time that the information contained within EEG microstates on a millisecond timescale is able to elicit BOLD activation patterns consistent with well known RSNs, opening new avenues for multimodal imaging data processing.

The tolerability of rTMS treatment in schizophrenia with respect to cognitive function.

INTRODUCTION: The purpose of this study was to assess tolerability and safety of high-frequency rTMS with regard to cognitive performance when conducted as "add-on" treatment in chronic schizophrenia in-patients (n=32). METHODS: Patients, who were on stable antipsychotic treatment, were randomly assigned to verum or sham condition (double-blind). In the verum group, ten sessions of 10 Hz rTMS with a total of 10 000 stimuli were applied over the left dorsolateral prefrontal cortex (PFC) at 110% of motor threshold over a period of two weeks. The sham group received corresponding sham stimulation. RTMS effects on cognitive performance were assessed with a neuropsychological test battery consisting of the following tests: trail making test A and B (TMT), Wisconsin card sorting test (WCST), D2 attention task and the "short test of general intelligence" (KAI). RESULTS: No statistically significant deterioration of cognitive performance was observed as a result of rTMS treatment. Moreover it was shown that in the verum group patients with a less favourable performance on the WCST at baseline tend to improve after rTMS treatment with regard to psychopathology as opposed to patients in the control group. DISCUSSION: The stability of cognitive function suggests good tolerability of rTMS treatment in schizophrenia. The absence of evidence for cognitive deterioration could be due to low and short stimulation parameters.

Fluctuations in electrodermal activity reveal variations in single trial brain responses to painful laser stimuli--a fMRI/EEG study.

Pain is a complex experience with sensory, emotional and cognitive aspects. It also includes a sympathetic response that can be captured by measuring the electrodermal activity (EDA). The present study was performed to investigate which brain areas are associated with sympathetic activation in experimental pain; an issue that has not been addressed with fMRI (functional magnetic resonance imaging) thus far. Twelve healthy subjects received painful laser stimulation to the left hand. The event-related fMRI BOLD (blood oxygen level dependent) response was measured together with simultaneous EEG (electroencephalography) and EDA recordings. Laser stimuli induced the expected EDA response, evoked EEG potentials and BOLD responses. Single trial EDA amplitudes were used to guide further analysis of fMRI and EEG data. We found significantly higher BOLD responses in trials with high EDA vs. low EDA trials, predominantly in the insula and somatosensory cortex (S1/S2). Likewise, in the EEG we found the N2 laser evoked potentials to have significantly higher amplitudes in trials with high vs. low EDA. Furthermore EDA-informed BOLD modeling explained additional signal variance in sensory areas and yielded higher group level activation. We conclude that the sympathetic response to pain is associated with activation in pain-processing brain regions, predominantly in sensory areas and that single trial (EDA)-information can add to BOLD modeling by taking some of the response variability across trials and subjects into account. Thus, EDA is a useful additional, objective index when pain is studied with fMRI/EEG which might be of particular relevance in the context of genetic- and pharmacoimaging.

Laser-evoked potential P2 single-trial amplitudes covary with the fMRI BOLD response in the medial pain system and interconnected subcortical structures.

Pain is a complex experience with sensory, emotional and cognitive aspects. The cortical representation of pain - the pain matrix - consists of a network of regions including the primary (S1) and secondary (S2) sensory cortex, insula, and anterior cingulate cortex (ACC). These structures interact with brain regions such as the prefrontal cortex and the amygdalae. Simultaneous EEG/fMRI (electroencephalography/functional magnetic resonance imaging) has recently been introduced as a method to study the spatiotemporal characteristics of cognitive processes with high spatial and high temporal resolution at the same time. The present study was conducted to clarify if single trial EEG-informed BOLD modeling supports the definition of functional compartments within the pain matrix and interconnected regions. Twenty healthy subjects received painful laser stimulation while EEG and the fMRI blood oxygen level dependent (BOLD) signal were recorded simultaneously. While the laser-evoked N2 potential provided no additional information for BOLD modeling, the regressor obtained from the single trial laser-evoked P2 potential explained additional variance in a network of cortical and subcortical structures that largely overlapped with the pain matrix. This modeling strategy yielded pronounced activation in the ACC, right amygdala and thalamus. Our results suggest that laser-evoked potential (LEP) informed fMRI can be used to visualize BOLD activation in the pain matrix with an emphasis on functional compartments (as defined by the temporal dynamics of the LEP) such as the medial pain system. Furthermore, our findings suggest a concerted effort of the ACC and the amygdala in the cognitive-emotional evaluation of pain.

Single-trial P3 amplitude and latency informed event-related fMRI models yield different BOLD response patterns to a target detection task.

Using single-trial parameters as a regressor in the General Linear Model (GLM) is becoming an increasingly popular method for informing fMRI analysis. However, the parameter used to characterise or to differentiate brain regions involved in the response to a particular task varies across studies (e.g. ERP amplitude, ERP latency, reaction time). Furthermore, the way in which the single-trial information is used in the fMRI analysis is also important. For example, the single-trial parameters can be used as regressors in the GLM or to modify the duration of the events modelled in the GLM. The aim of this study was to investigate the BOLD response to a target detection task when including P3 amplitude, P3 latency and reaction time parameters in the GLM. Simultaneous EEG-fMRI was recorded from fifteen subjects in response to a visual choice reaction time task. Including P3 amplitude as a regressor in the GLM yielded activation in left central opercular cortex, left postcentral gyrus, left insula, left middle frontal gyrus, left insula and left parietal operculum. Using P3 latency and reaction time as an additional regressor yielded no additional activation in comparison with the conventional fMRI analysis. However, when P3 latency or reaction time was used to determine the duration of events at a single-trial level, additional activation was observed in the left postcentral gyrus, left precentral gyrus, anterior cingulate cortex and supramarginal gyrus. Our findings suggest that ERP amplitudes and latencies can yield different activation patterns when used to modify relevant aspects of the GLM.

[Biological correlates of prefrontal activating and temporoparietal inhibiting treatment with repetitive transcranial magnetic stimulation (rTMS)]. / Biologische Korrelate präfrontal aktivierender und temporoparietal inhibierender Behandlung mit repetitiver transkranieller Magnetstimulation (rTMS).

Repetitive transcranial magnetic stimulation (rTMS) is a tool that enables clinicians and neuroscientists to modulate cortical activity in a non-invasive way. High-frequency rTMS has predominantly an activating effect on the stimulated brain region while low-frequency rTMS has an inhibitory effect. In addition to its usefulness as a research tool and in neurological diagnostics, rTMS may prove useful as a therapeutic option in psychiatry, especially in disorders that are associated with regional changes in cortical activity. For instance, rTMS is under current investigation in the treatment of depression and negative symptoms of schizophrenia. A hypofrontality or a fronto-limbic imbalance associated with both syndromes could be corrected by activating, high frequency rTMS. Conversely, a regional hyperactivity in the temporo-parietal cortex has been described in subjects suffering from auditory hallucinations and tinnitus. Low frequency, inhibitory rTMS is currently evaluated as a therapeutic option in these subjects. In addition to the effects on the directly stimulated brain area, other biological effects of rTMS may exert a beneficial influence on brain function. Amongst these are a modulation of cortico-cortical circuits (e. g. fronto-cingular and fronto-parietotemporal circuits), effects on monoaminergic neuromodulation and neuroendocrine effects. The current knowledge about the therapeutically relevant neurophysiological and neuroendocrine effects of rTMS are reviewed. An improved understanding of the neurophysiological basis of the therapeutic effects of rTMS and of the pathophysiology underlying neuropsychiatric diseases may lead to optimized therapeutic rTMS applications and new clinical indications for rTMS.

EEG-correlates of facial affect recognition and categorisation of blurred faces in schizophrenic patients and healthy volunteers.

The ability to recognise emotional expressions of faces and the ability to categorise blurred and non-blurred faces and complex objects was tested in 16 schizophrenic in-patients and 16 healthy volunteers. EEGs were recorded during performance of the tasks and event-related potentials were compared between groups. Patients performed worse than healthy volunteers in recognition of facial affect but not in categorisation of blurred faces. Furthermore, within a 180-250ms latency range patients showed reduced amplitudes during affect recognition compared with controls but not during categorisation of blurred faces. Amplitudes recorded at frontal electrode sites were associated with performance in facial affect recognition. These results provide a first clue to the neurophysiological basis of the widely reported facial affect recognition deficit in schizophrenic patients.

Electrophysiological correlates of emotional and structural face processing in humans.

In order to study brain potentials related to decoding of facial expressions of emotions and those, related to basic perception of faces 16 right-handed subjects performed tasks on facial emotion recognition and perception of blurred faces and objects. Electroencephalograph (EEG) recordings during performance of the tasks revealed similar event-related potentials during the presentation of faces at 120 and 170 ms after stimulus onset in both of the tasks but significant differences in amplitudes between 180 and 300 ms. Whereas faces in the emotion recognition task produced high amplitudes in that latency range, potentials in response to faces in the blurred object condition were virtually absent. These data point to the assumption that decoding of facial expressions starts early in the brain and might be processed separately from basic stages of face perception.

Attenuated prefrontal activation during decision-making under uncertainty in schizophrenia: a multi-center fMRI study.

Decisions are called decisions under uncertainty when either prior information is incomplete or the outcomes of the decision are unclear. Alterations in these processes related to decisions under uncertainty have been linked to delusions. In patients with schizophrenia, the underlying neural networks have only rarely been studied. We aimed to disentangle the neural correlates of decision-making and relate them to neuropsychological and psychopathological parameters in a large sample of patients with schizophrenia and healthy subjects. Fifty-seven patients and fifty-seven healthy volunteers from six centers had to either indicate via button-press from which of two bottles red or blue balls were drawn (decision-making under uncertainty condition), or indicate whether eight red balls had been presented (baseline condition) while BOLD signal was measured with fMRI. Patients based their decisions on less conclusive evidence and had decreased activations in the underlying neural network, comprising of medial and lateral frontal as well as parietal areas, as compared to healthy subjects. While current psychopathology was not correlated with brain activation, positive symptoms led to longer decision latencies in patients. These results suggest that decision-making under uncertainty in schizophrenia is affected by a complex interplay of aberrant neural activation. Furthermore, reduced neuropsychological functioning in patients was related to impaired decision-making and task performance was modulated by distinct positive symptoms.

Brain activation patterns underlying fast habituation to painful laser stimuli.

A painful experience is modified by processes like habituation/antinociception or sensitization. Altered habituation may be one characteristic of chronic pain syndromes. In the present study we sought to investigate the functional magnetic resonance imaging (fMRI) blood oxygen level dependent (BOLD) correlate of rapid habituation to pain using simultaneous single trial electrodermal activity (EDA)/fMRI measurements. A total of N=32 healthy subjects have been investigated. Subjects received painful laser stimulation of the left hand. The fMRI BOLD response was measured simultaneously with continuous EDA recordings. Single trial EDA responses to laser stimulation habituated over time with substantial subject-to-subject differences in the degree and speed of habituation. fMRI BOLD habituation was assessed by contrasting the first half of the experiment against the second half and was found in primary and secondary somatosensory cortices, the insula and the anterior cingulate cortex (ACC). We hypothesized that single trial EDA habituation would reflect BOLD habituation which was investigated separately in subjects with 'faster' (N=15) and 'slower' (N=14) EDA habituation. Significant habituation of the BOLD signal was only found in subjects with 'faster' EDA habituation that was accompanied by a signal increase in the rostral ACC and the periaqueductal grey. Furthermore, subjects with faster EDA habituation provided lower pain ratings. Therefore the EDA habituation profile to painful stimulation may constitute a pain-related (endo)phenotype and may be an informative additional endpoint measure in fMR-imaging of pain, especially when people suffering from chronic pain states in which pain processing is often altered are studied.

The P300 event-related potential and smoking--a population-based case-control study.

A better understanding of the factors underlying habitual tobacco smoking may further new strategies to go about this major health problem. The P300 event-related potential (ERP) has emerged as a valuable (endo)phenotype in neuropsychiatric research. Previous studies suggested the P300 ERP to be reduced in smokers. The main purpose of the present study was to provide an in-depth description of smoking-related behavioral, biological and electrophysiological phenotypes with an emphasis on the P300 ERP and its mutual relationship with other smoking-related parameters. In this case-control study N=1318 participants (smokers and never-smoking controls) were investigated at 6 German academic institutions. Study participants were randomly selected from the general population. Subjects with mental disorders including alcoholism and drug abuse were excluded. The main outcome measure was the P300 global field power (GFP). We found a lower P300 GFP in current smokers compared to never-smoking controls. Furthermore a correlation between measures of smoking severity and P300 GFP reduction was found. Non-addicted smokers exhibited normal P300 ERP measures. This study provides further evidence that the P300 ERP is reduced in current smokers even in the absence of potentially confounding psychiatric comorbidity. Thus, P300 amplitude reduction clearly is part of the electrophysiological phenotype of smokers. Our results provide the phenotypical groundwork for future multidimensional analyses of genotype-phenotype relationships in the field of smoking and nicotine dependence.

Potential clinical targets of repetitive transcranial magnetic stimulation treatment in schizophrenia.

Despite the introduction of atypical antipsychotic drugs, treatment-resistant symptoms still represent a serious problem in schizophrenia. Currently, there is evidence from clinical studies suggesting that treatment with repetitive transcranial magnetic stimulation (rTMS) may improve schizophrenia symptoms. Our review provides an overview of clinical rTMS studies in schizophrenic patients. A systematic search of the literature (Cochrane and Medline databases up to December 2005) was conducted. Most studies showed methodological problems due to their explorative character and small sample sizes. In some studies, a treatment effect of high-frequency rTMS applied over the prefrontal cortex was seen with respect to negative symptoms. On the other hand, low-frequency rTMS in the temporal lobe area might lead to a suppression of auditory hallucinations. It is concluded that larger sham-controlled studies are required to allow an adequate assessment of the clinical and neurobiological effects of rTMS in schizophrenic patients. The currently available data provide insufficient evidence to support the use of rTMS as an adjuvant treatment for schizophrenic psychopathology, but encourage further investigation of rTMS as a novel treatment approach.

Differential diagnosis of aging, dementia of the Alzheimer type and depression with EEG-segmentation.

EEG segmentation can be used to measure altered brain function in aging and diseases of the brain. The parameter 'number of different segments' makes clear how many different potential fields are involved in brain activity during a given period of time. It should represent effects of aging and disease. To prove this assumption, 11 young and 10 aged controls, 12 patients with mild dementia of the Alzheimer type (DAT), 10 young and 12 aged patients with endogenous depression were included in the study. The number of different segments in the beta frequency band between 16 and 19.75 Hz was measured according to the theory of Lehmann et al. [Clinical Neurophysiology 1987;67:271-288], and the segments were classified by their location on the scalp. The Mann-Whitney U test was used for statistical comparison. Aged controls had more different segments than young controls (n = 21, U = 14, p < 0.0038). Patients with DAT had less different segments than healthy aged controls (n = 22, U = 18.5, p < 0.0061). Aged patients with endogenous depression had more different segments than patients with mild DAT (n = 24, U = 32, p < 0.021). The reduction of the number of different segments in DAT compared to controls and patients suffering from depression may be helpful for differential diagnosis. The higher number of different segments in aged versus young controls could be interpreted as a sign of increased complexity in the aged brain.

A comparison of ADAS and EEG in the discrimination of patients with dementia of the Alzheimer type from healthy controls.

Neuropsychometric tests (for instance the Alzheimer's Disease Assessment Scale, ADAS) and the EEG are often used in the diagnostic procedure of dementia. The validity of the instruments is only poorly investigated. The study aimed to investigate the accuracy of the discrimination between healthy controls and patients with dementia of the Alzheimer type (DAT) by ADAS and EEG. Thirty-six patients with DAT and 44 healthy controls were included. In a discriminant analysis of the 21 ADAS items and 18 EEG parameters (6 frequency bands, 12 topographic parameters), 6 ADAS items turned out to discriminate both groups with 100% sensitivity and specificity (remembering instructions, depression, following commands, pacing, restlessness and word finding difficulties). Regarding EEG parameters, 4 (topography of beta- and delta-activity and amplitude of delta-activity) led to a sensitivity and specificity of over 90%. Thus, both methods demonstrated an excellent discrimination between healthy controls and DAT. The slightly higher discrimination with the ADAS may depend on its closer relation to clinical symptoms. However, the EEG measuring functional activity reached nearly the same result. Both methods provide complementary information. A combination of both methods in the diagnostic procedure to detect dementia is recommended.

[Development and validation of a test for early diagnosis of dementia with differentiation from depression (TFDD)]. / Entwicklung und Validierung eines Tests zur Früherkennung der Demenz mit Depressionsabgrenzung (TFDD).

Psychometric tests used for the early detection of dementia often are seen as too difficult or too complex. Classical neuropsychologic tests were not developed for this purpose. Sensitivity and specificity to discriminate "healthy" vs. "ill" are low. For measuring both dementive and depressive symptoms, so far no test has been published. The objective of this study was to develop a sensitive and specific test for dementia that is easy to administer and to evaluate. Moreover, it should discriminate dementia from depressive pseudodementia. With respect to former studies, items were selected that recognized patients in the beginning of the disease. Additionally, depressive symptoms were rated. With the items for dementia, 88 patients with dementia of the Alzheimer type, 52 patients with depressive disorder and 37 healthy elderly controls were investigated. In this group of already diagnosed patients, the test reached a sensitivity and specificity of 100 percent (healthy elderly controls vs. patients with Alzheimer's disease: n = 125, U = 0, p < 0.001; patients with depressive disorder vs. patients with Alzheimer's disease: n = 140, U = 0, p < 0.001; healthy elderly controls vs. patients with depressive disorder: n = 89, U = 485.5, p < 0.001). For the dementia items, the inter-rater-reliability was rs = 0.996 (p < 0.001, n = 18), for the depression items it was rs = 0.753 (n = 18, p < 0.001). The test-retest-reliability was rs = 0.868 (p < 0.001, n = 35) for the dementia items and rs = 0.7 (n = 8, p < 0.05) for the depression items. These validation data will make the test useful for practitioners. Its ability to discriminate patients suffering from dementia of the Alzheimer type from healthy controls is comparable to tests consuming more time.