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Biomedical subjects

Paul J Reber

Publications and source records attributed to Paul J Reber.

7 recordsLinked to original sources

Dissociating explicit and implicit category knowledge with fMRI.

Neuroimaging of healthy volunteers identified separate neural systems supporting the expression of category knowledge depending on whether the learning mode was intentional or incidental. The same visual category was learned either intentionally or implicitly by two separate groupsof participants. During a categorization test, functional magnetic resonance imaging (fMRI) was used to compare brain activity evoked by category members and nonmembers. After implicit learning, when participants had learned the category incidentally, decreased occipital activity was observed for novel categorical stimuli compared with noncategorical stimuli. In contrast, after intentional learning, novel categorical stimuli evoked increased activity in the hippocampus, right prefrontal cortex, left inferior temporal cortex, precuneus, and posterior cingulate. Even though the categorization test was identical in the two conditions, the differences in brain activity indicate differing representations of category knowledge depending on whether the category had been learned intentionally or implicitly.

Brain Mapping↗

Brain networks for analyzing eye gaze.

The eyes convey a wealth of information in social interactions. This information is analyzed by multiple brain networks, which we identified using functional magnetic resonance imaging (MRI). Subjects attempted to detect a particular directional cue provided either by gaze changes on an image of a face or by an arrow presented alone or by an arrow superimposed on the face. Another control condition was included in which the eyes moved without providing meaningful directional information. Activation of the superior temporal sulcus accompanied extracting directional information from gaze relative to directional information from an arrow and relative to eye motion without relevant directional information. Such selectivity for gaze processing was not observed in face-responsive fusiform regions. Brain activations were also investigated while subjects viewed the same face but attempted to detect when the eyes gazed directly at them. Most notably, amygdala activation was greater during periods when direct gaze never occurred than during periods when direct gaze occurred on 40% of the trials. In summary, our results suggest that increases in neural processing in the amygdala facilitate the analysis of gaze cues when a person is actively monitoring for emotional gaze events, whereas increases in neural processing in the superior temporal sulcus support the analysis of gaze cues that provide socially meaningful spatial information.

Adult↗

Artificial grammar learning in Alzheimer's disease.

Patients with early Alzheimer's disease (AD) exhibit impaired declarative memory although some forms of nondeclarative memory are intact. Performance on perceptual nondeclarative memory tasks is often preserved in AD, whereas conceptual nondeclarative memory is often impaired. A conceptual nondeclarative learning task that has been studied in amnesic patients is the artificial grammar learning (AGL) task. Healthy participants and patients with impaired declarative memory both acquire information about an underlying rule structure in this task and exhibit the ability to identify rule-conforming items, despite the subjective experience of guessing at the response. In this study, 12 patients diagnosed with early AD were tested on the AGL task and a matched recognition task. The patients were able to reliably distinguish rule-conforming items from others, indicating successful AGL. Performance of the AD patients was impaired, relative to controls, on a similar recognition task, although they were found to use information about the grammaticality of study items in an attempt to improve their recognition performance. The AD patients showed a dissociation similar to that seen in anterograde amnesia: impaired recognition memory in conjunction with successful AGL. This finding suggests that the brain areas that support AGL are not compromised early in the course of AD. In addition, the nondeclarative memory of the AD patients acquired during AGL appeared to influence their performance on a declarative memory task, suggesting an interaction between this nondeclarative memory task and declarative memory.

Aged↗

Neural correlates of successful encoding identified using functional magnetic resonance imaging.

Neural activity that occurs during the creation of a new memory trace can be observed using functional magnetic resonance imaging (fMRI). Event-related designs have been used to demonstrate that activity in prefrontal and medial temporal lobe areas is associated with successful memory storage. Here we contrasted activity associated with encoding success and encoding effort. Participants viewed a series of 150 words but attempted to remember only half of them. Encoding effort was manipulated using a cue in the form of a letter (R or F) presented after each word to instruct participants either to remember or to forget that word. Increased activity in left inferior prefrontal cortex was observed when words were followed by the cue to remember. In contrast, increased left medial temporal lobe activity was observed for words that were successfully recalled later. These results show that fMRI correlates of the intention to encode a word are different from fMRI correlates of whether that encoding is successful. Prefrontal activation was strongly associated with intentional verbal encoding, whereas left medial temporal activation was crucial for the encoding that actually led to successful memory on the subsequent test.

Adolescent↗

Encoding activity in the medial temporal lobe examined with anatomically constrained fMRI analysis.

Functional neuroimaging studies have produced a sizable number of observations of increased activity in the human medial temporal lobe (MTL) during encoding of novel memories. The studies have suggested possible functional specialization within the anatomical components of the MTL (hippocampus and the entorhinal, perirhinal, and parahippocampal cortical areas). Neuroimaging studies have just begun to link anatomical regions to specific functions. To address functional specialization hypothesis, a method is described for using high-resolution structural information from magnetic resonance imaging MRI to constrain the analysis of functional magnetic resonance imaging (fMRI) data, for independent assessment of functional activity change in each component of the MTL. With this method, increased activity was detected throughout the MTL in a group of participants (n = 5) who encoded novel pictures. A separate group (n = 5) who encoded words exhibited lower-levels of evoked activity. Laterality effects were found reflecting increased right hemisphere activity during picture encoding (parahippocampal cortex) and increased left hemisphere activity during word encoding (posterior hippocampus and parahippocampal cortex). Neither condition provided evidence for greater activity in the posterior hippocampus than in the anterior hippocampus during encoding, although the greatest increases in activity were observed in the parahippocampal cortex. The anatomically driven methodology is shown to provide detailed comparison of levels of activity change across specific brain areas and to provide increased sensitivity to functional change in each region of the MTL.

Adult↗

Comparing the brain areas supporting nondeclarative categorization and recognition memory.

Brain areas associated with both nondeclarative categorization and recognition memory were identified and contrasted using functional magnetic resonance imaging (fMRI) of healthy volunteers. Activity during dot-pattern categorization and recognition were compared with a control task (counting dots) in two separate groups of participants (n=5 each). The network of areas associated with nondeclarative categorization was found to include bilateral inferior prefrontal and parietal cortical areas that have been implicated in several other studies of categorization. During recognition, increased activity was found in posterior visual areas, the precuneus, posterior cingulate and right prefrontal cortex. Using the common control condition as a reference, recognition and categorization were contrasted and recognition was found to evoke more activity in posterior early visual cortex, the precuneus, right medial temporal lobe and right dorso-lateral prefrontal cortex. Previous research has implicated changes in visual representation in learning a category of dot-pattern by comparing activity evoked by categorical and non-categorical stimuli. The current findings support those results and additionally identify brain areas active during categorization that are involved in expressing this category knowledge.

Brain↗

Neural correlates of person recognition.

Rapidly identifying known individuals is an essential skill in human society. To elucidate the neural basis of this skill, we monitored brain activity while experimental participants demonstrated their ability to recognize people on the basis of viewing their faces. Each participant first memorized the faces of 20 individuals who were not known to the participants in advance. Each face was presented along with a voice simulating the individual speaking their name and a biographical fact. Following this learning procedure, the associated verbal information could be recalled accurately in response to each face. These learned faces were subsequently viewed together with new faces in a memory task. Subjects made a yes-no recognition decision in response to each face while also covertly retrieving the person-specific information associated with each learned face. Brain activity that accompanied this retrieval of person-specific information was contrasted to that when new faces were processed. Functional magnetic resonance imaging in 10 participants showed that several brain regions were activated during blocks of learned faces, including left hippocampus, left middle temporal gyrus, left insula, and bilateral cerebellum. Recordings of event-related brain potentials in 10 other participants tracked the time course of face processing and showed that learned faces engaged neural activity responsible for person recognition 300-600 msec after face onset. Collectively, these results suggest that the visual input of a recently learned face can rapidly trigger retrieval of associated person-specific information through reactivation of distributed cortical networks linked via hippocampal connections.

Adult↗