Neural substrates of action event knowledge.

Lesion studies indicate that the lateral and inferior temporal cortex is a critical area of semantic memory storage, but little is known about the cortical organization of semantics within this area. One proposition has been that dominant physical characteristics of objects (structure, motility) are determining factors. A positron emission tomography experiment using the H2(15)O bolus method was performed to test this hypothesis by contrasting activation for concrete and abstract concepts. Unlike previous studies that considered this question, the task required explicit word meaning judgments, and blocks of trials were designed to be of equal difficulty for the two word classes. The task required elderly participants to read aloud the pair of words that was closer in meaning (e.g., spade-shovel vs. spade-carpet). Subtraction analyses that compared the semantic judgment tasks with a baseline condition indicated that both abstract and concrete concepts activated the left lateral temporal cortex. A direct comparison of abstract versus concrete scans indicated differences in the lateralization of fusiform activation. We conclude that although concreteness might be a critical factor in the fusiform cortex, it is not dominant in the lateral temporal cortex. A multistudy overview suggests that tasks that focus on one concept per trial activate areas posterior to y = -40, whereas those that invoke several concepts, as in the present study, activate areas anterior to this. Increased processing complexity may proceed in a posterior-anterior direction in the lateral temporal cortex.

Unprecedented 4D spatiotemporal infant regional cerebral blood flow framework and region-specific physiology–function coupling across infancy were elucidated, highlighting strong physiology–function coupling specifically at the default-mode network to meet extraneuronal metabolic demand for network emergence.

A Real-World Size Organization of Object Responses in Occipitotemporal Cortex

Relative regional cerebral blood flow was measured with single photon emission computed tomography (SPECT) using 99mTc-hexamethylpropyleneamine oxime (99mTc-HMPAO) in 16 patients with major depression while they were in the depressed state as well as in remission. All patients were closely matched with regard to medication status. In the depressed state, significant reductions in tracer uptake were found in the left superior frontal, bilateral parietal and right lateral temporal cortex. During remission, significant increases in uptake were found in the left superior frontal, right parietal and right lateral temporal cortex. There were no significant differences in tracer uptake between patients in remission and controls. These findings suggest that the regional decreases in tracer uptake observed in the depressed state might be a state-related abnormality.

Objective To provide a new approach to further elucidate the underlying pathogenesis of major depressive disorder by using resting-state functional connectivity strengths(FCS) in unmedicated patients with major depressive disorder(MDD). Methods Thirty-three unmedicated patients with MDD and thirty-three normal controls underwent the resting-state functional magnetic resonance imaging(rs-fMRI).After preprocessing of rs-fMRI, the whole brain FCS values were constructed. Two-sample t-test was used to compare the FCS values of both groups to locate the regions with significant change. And correlation analysis was performed between the FCS values extracted from significantly different brain regions and Hamilton Depression Scale (HAMD24) scores. Results One sample t test had shown that high FCS values brain areas (hubs) of MDD patients and normal controls were mainly located in the default mode network (the prefrontal cortex, anterior cingulate gyrus, posterior cingulate gyrus, precuneus/cuneus, angular gyrus) and parietal cortex, lateral temporal cortex as well as occipital cortex. In comparison to the normal controls, the MDD patients had FCS values significantly decreased in the bilateral posterior cerebellar lobe (right posterior cerebellar t=-4.57, P<0.05; left posterior cerebellar t=-3.40,P<0.05), and FCS values increased in the right superior temporal gyrus (t=3.71,P<0.05) and left anterior insular lobe (t=3.91, P<0.05). There were no significant correlations between the HAMD24 scores and the FCS values in right/left posterior cerebellar (r=0.081, P=0.654; r=-0.028, P=0.877), right superior temporal gyrus (r=0.211, P=0.239) and left anterior insular lobe (r=-0.017,P=0.924). Conclusions These findings suggest abnormal functional connectivity in the bilateral posterior cerebellar lobe, right temporal lobe and left insular lobe in MDD. The FCS analysis may be used as a new research method to explore the pathogenesis of MDD. Key words: Depressive disorder; Resting state; Functional connectivity strengths

We used electrical stimulation mapping to compare performance on auditory and visual naming tasks in inferotemporal, lateral temporal, frontal, and parietal cortex in 8 temporal lobe epilepsy (TLE) patients with subdural electrodes placed for preoperative language localization. Performance on auditory responsive naming (ARN) and visual confrontation naming (VCN) was best during stimulation of parietal cortex and was equally impaired during stimulation of inferotemporal and frontal cortex. In contrast, ARN performance was significantly poorer than VCN performance during stimulation of anterior and posterior lateral temporal cortex. In most patients, stimulation of inferotemporal cortex at relatively low stimulus intensities (< or = 5 mA) during either ARN or VCN elicited reproducible errors in which patients could describe, gesture, spell, or draw, but not name, in response to auditory or visual cues. Inferotemporal and frontal cortex appear to be multimodality language regions distinct from lateral temporal cortex.

Parallel Visual Motion Processing Streams for Manipulable Objects and Human Movements

Patients with mild cognitive impairment (MCI) have increased risk to develop Alzheimer disease (AD). In AD increased brain amyloid burden has been demonstrated in vivo with PET using N-methyl-[(11)C]2-(4'-methylaminophenyl)-6-hydroxybenzothiazole ([(11)C]PIB) as a tracer. To investigate whether patients with amnestic MCI would show increased [(11)C]PIB uptake, indicating early AD process. We studied 13 patients with amnestic MCI and 14 control subjects with PET using [(11)C]PIB as tracer. Parametric images were computed by calculating the region-to-cerebellum ratio in each voxel over 60 to 90 minutes. Group differences in [(11)C]PIB uptake were analyzed with statistical parametric mapping (SPM) and automated region-of-interest (ROI) analysis. The SPM analysis showed that patients with MCI had significantly higher [(11)C]PIB uptake vs control subjects in the frontal, parietal, and lateral temporal cortices as well as in the posterior cingulate showing the most prominent differences. These results were supported by the automated ROI analysis in which MCI patients showed in comparison with healthy control subjects increased [(11)C]PIB uptake in the frontal cortex (39% increase from the control mean, p < 0.01), the posterior cingulate (39%, p < 0.01), the parietal (31%, p < 0.01) and lateral temporal (28%, p < 0.001) cortices, putamen (17%, p < 0.05), and caudate (25%, p < 0.05). Individually, in the frontal cortex and posterior cingulate, 8 of 13 patients with MCI had [(11)C]PIB uptake values above 2 SD from the control mean. MCI subjects having at least one APOE epsilon4 allele tended to have higher [(11)C]PIB uptake than MCI subjects without APOE epsilon4. At group level the elevated N-methyl-[(11)C]2-(4'-methylaminophenyl)-6-hydroxybenzothiazole ([(11)C]PIB) uptake in patients with mild cognitive impairment (MCI) resembled that seen in Alzheimer disease (AD). At the individual level, about half of the MCI patients had [(11)C]PIB uptake in the AD range, suggestive of early AD process.

This study examined resting-state functional connectivity in the vascular system of the brain using functional magnetic resonance angiography (fMRA) with an ultra-high-field 7 T MRI. Four healthy individuals participated in the functional imaging study using fMRA and functional MRI (fMRI) for determination of vascular and blood oxygenation level-dependent (BOLD) connectivity, respectively. We calculated voxel-wise connectivity maps and measured the correlation coefficients of the region of interest (ROI)-wise connectivity in the resting-state human brain. Z-map in the posterior cingulate cortex showed more correlated voxels in fMRA than fMRI. There was little or weak interhemispheric vascular connectivity using fMRA in the lateral parietal cortex and the lateral temporal cortex. In contrast, both vascular and BOLD interhemispheric correlations in the precentral gyrus were strong. Correlation coefficients for ROI-wise connectivity analysis were statistically different between fMRA and fMRI in the left and right lateral parietal cortex and lateral temporal cortex (P=0.029). Unlike BOLD connectivity, vascular connectivity showed little interhemispheric correlation in the default mode network. These results could provide the vascular connectivity on the basis of arterial response that can only be obtained by fMRA with an ultra-high-field environment along with further studies. Therefore, this method could provide additional and supplementary information for investigating the vascular effect in patients with cerebrovascular disease.

Reading, naming, and repetition are classical neuropsychological tasks widely used in the clinic and psycholinguistic research. While reading and repetition can be accomplished by following a direct or an indirect route, pictures can be named only by means of semantic mediation. By means of fMRI multivariate pattern analysis, we evaluated whether this well-established fundamental difference at the cognitive level is associated at the brain level with a difference in the degree to which semantic representations are activated during these tasks. Semantic similarity between words was estimated based on a word association model. Twenty subjects participated in an event-related fMRI study where the three tasks were presented in pseudo-random order. Linear discriminant analysis of fMRI patterns identified a set of regions that allow to discriminate between words at a high level of word-specificity across tasks. Representational similarity analysis was used to determine whether semantic similarity was represented in these regions and whether this depended on the task performed. The similarity between neural patterns of the left Brodmann area 45 (BA45) and of the superior portion of the left supramarginal gyrus correlated with the similarity in meaning between entities during picture naming. In both regions, no significant effects were seen for repetition or reading. The semantic similarity effect during picture naming was significantly larger than the similarity effect during the two other tasks. In contrast, several regions including left anterior superior temporal gyrus and left ventral BA44/frontal operculum, among others, coded for semantic similarity in a task-independent manner. These findings provide new evidence for the dynamic, task-dependent nature of semantic representations in the left BA45 and a more task-independent nature of the representational activation in the lateral temporal cortex and ventral BA44/frontal operculum.

In amyloid brain PET, after parcellation using the finite element method (FEM)-based algorithm FreeSurfer and voxel-based algorithm PMOD, SUVr examples can be extracted and compared. This study presents the classification SUVr threshold in PET images of F-18 florbetaben (FBB), F-18 flutemetamol (FMM), and F-18 florapronol (FPN) and compares and analyzes the classification performance according to computational algorithm in each brain region. PET images were co-registered after the generated MRI was registered with standard template information. Using MATLAB script, SUVr was calculated using the built-in parcellation number labeled in the brain region. PMOD and FreeSurfer with different algorithms were used to load the PET image, and after registration in MRI, it was normalized to the MRI template. The volume and SUVr of the individual gray matter space region were calculated using an automated anatomical labeling atlas. The SUVr values of eight regions of the frontal cortex (FC), lateral temporal cortex (LTC), mesial temporal cortex (MTC), parietal cortex (PC), occipital cortex (OC), anterior and posterior cingulate cortex (GCA, GCP), and composite were calculated. After calculating the correlation of SUVr using the FreeSurfer and PMOD algorithms and calculating the AUC for amyloid-positive/negative subjects, the classification ability was calculated, and the SVUr threshold was calculated using the Youden index. The correlation coefficients of FreeSurfer and PMOD SUVr calculations of the eight regions of the brain cortex were FBB (0.95), FMM (0.94), and FPN (0.91). The SUVr threshold was SUVr(LTC,min) = 1.264 and SUVr(THA,max) = 1.725 when calculated using FPN-FreeSurfer, and SUVr(MTC,min) = 1.093 and SUVr(MCT,max) = 1.564 when calculated using FPN-PMOD. The AUC comparison showed that there was no statistically significant difference (p &gt; 0.05) in the SUVr classification results using the three radiopharmaceuticals, specifically for the LTC and OC regions in the PMOD analysis, and the LTC and PC regions in the FreeSurfer analysis. The SUVr calculation using PMOD (voxel-based algorithm) has a strong correlation with the calculation using FreeSurfer (FEM-based algorithm); therefore, they complement each other. Quantitative classification analysis with high accuracy is possible using the suggested SUVr threshold. The SUVr classification performance was good in the order of FMM, FBB, and FPN, and showed a good classification performance in the LTC region regardless of the type of radiotracer and analysis algorithm.

Electrophysiological studies have suggested that temporal intermittent rhythmic delta activity (TIRDA) has a localizing value similar to interictal spikes in patients with temporal lobe epilepsy and is associated with a favorable outcome after temporal lobectomy. However, it remains controversial whether TIRDA is an EEG marker for mesial or lateral temporal epileptogenesis. We simultaneously recorded scalp EEG and stereoencephalography in a patient with mesial temporal lobe epilepsy during epilepsy presurgical evaluation. Seizure onset was localized to the hippocampus. However, TIRDA originated from the lateral temporal cortex, and rhythmic delta activity was not observed concomitantly in the hippocampus. In addition, TIRDA was not associated with repetitive interictal spikes or subclinical seizures in the hippocampus as previously speculated. This case suggests that TIRDA can be an EEG marker that is independent of hippocampal activity and can represent temporal neocortical epileptogenesis.

The regional metabolic rate of glucose was estimated using 18F-labeled 2-deoxyglucose and positron-emission tomography (PET) in eight patients with corticobasal degeneration (CBD). Measures of cerebral glucose metabolism in these patients were compared with those for nine age-matched normal controls and eight patients with progressive supranuclear palsy (PSP). Compared with that in the normal controls, the CBD patients showed significantly reduced cerebral glucose metabolism in the contralateral hemisphere to the clinically most affected side in the dorsolateral frontal, medial frontal, inferior parietal, sensorimotor, and lateral temporal cortex, as well as in the corpus striatum and the thalamus. In comparison with that in PSP, in CBD the glucose metabolism in the contralateral hemisphere was significantly decreased in the inferior parietal, sensorimotor, lateral temporal cortex, and the corpus striatum. These results confirm the marked asymmetric cerebral involvement in CBD and suggest that there are significant differences between CBD and PSP in the cerebral metabolism in some cerebral regions such as the inferior parietal cortex and sensorimotor cortex, which might reflect the differences in their clinical characteristics.

The spatiotemporal dynamics of the face inversion effect: A magneto- and electro-encephalographic study

Temporallobe epilepsy (TLE) has been conceptualized as a brain network disease, which generates brain connectivity dynamics within and beyond the temporal lobe structures in seizures. The hippocampus is a representative epileptogenic focus in TLE. Understanding the causal connectivity in terms of brain network during seizures is crucial in revealing the triggering mechanism of epileptic seizures originating from the hippocampus (HPC) spread to the lateral temporal cortex (LTC) by ictal electrocorticogram (ECoG), particularly in high-frequency oscillations (HFOs) bands. In this study, we proposed the unified-epoch dynamic causality analysis method to investigate the causal influence dynamics between two brain regions (HPC and LTC) at interictal and ictal phases in the frequency range of 1-500 Hz by introducing the phase transfer entropy (PTE) out/in-ratio and sliding window. We also proposed PTE-based machine learning algorithms to identify epileptogenic zone (EZ). Nine patients with a total of 26 seizures were included in this study. We hypothesized that: 1) HPC is the focus with the stronger causal connectivity than that in LTC in the ictal state at gamma and HFOs bands. 2) Causal connectivity in the ictal phase shows significant changes compared to that in the interictal phase. 3) The PTE out/in-ratio in the HFOs band can identify the EZ with the best prediction performance.