Resolving sentence ambiguity with planning and working memory resources: Evidence from fMRI.

We used functional magnetic resonance imaging (fMRI) to test competing claims about the role of executive resources during the disambiguation of a sentence featuring a temporary structural ambiguity. Written sentences with a direct object (DO) structure or a sentential complement (SC) structure were shown to 19 healthy, right-handed, young adults in a phrase-by-phrase manner. These sentences contained a main verb that is statistically more likely to be associated with a DO structure or an SC structure. Half of each type of sentence also contained an extra phrase strategically located to stress working memory prior to disambiguating the sentence. We found that sentences featuring a less consistent verb-structure mapping recruit greater dorsolateral prefrontal cortex (dlPFC) activation than sentences with a more consistent verb-structure mapping, implicating strategic on-line planning during resolution of a temporary structural ambiguity. By comparison, we observed left inferior parietal cortex (IPC) activation in sentences with an increased working memory demand compared to sentences with a low working memory load. These findings are consistent with a large-scale neural network for sentence processing that recruits distinct planning and working memory processing resources as needed to support the comprehension of sentences.

How necessary are the stripes of a tiger? Diagnostic and characteristic features in an fMRI study of word meaning.

This study contrasted two approaches to word meaning: the statistically determined role of high-contribution features like striped in the meaning of complex nouns like "tiger" typically used in studies of semantic memory, and the contribution of diagnostic features like parent's brother that play a critical role in the meaning of nominal kinds like "uncle." fMRI monitored regional brain activity while participants read complex noun descriptions consisting of statistically high-contribution and low-contribution features; and nominal kind descriptions consisting of diagnostic and characteristic features. We found different patterns of activation depending on the type of noun and the type of feature contributing to the noun. Complex nouns recruited significantly greater bilateral superior temporal and left prefrontal activation compared to nominal kind nouns, while nominal kind nouns activated bilateral medial parietal and right inferior parietal regions more than complex nouns. Moreover, features making a statistically high contribution to complex noun meaning activated right inferior frontal cortex relative to low-contribution features, while diagnostic features of nominal kinds activated left dorsolateral prefrontal and right parietal regions more than characteristic features. These findings are consistent with the hypothesis that at least two different neural mechanisms appear to support word meaning: one driven by a statistically determined approach to feature knowledge, and the other sensitive to the qualitatively critical role that a specific diagnostic feature plays in word meaning.

Category-specific effects in semantic memory: category-task interactions suggested by fMRI.

Much work has investigated the neural representation of specific categories of knowledge, but relatively scant attention has been paid in the cognitive neuroscience literature to the semantic processes that contribute to semantic memory. In this study, we monitored regional cortical activity with fMRI while healthy young adults evaluated visually displayed NATURAL KIND, ARTIFACT, and ABSTRACT nouns with two standard tasks: Typicality judgments and Pleasantness judgments. We observed a significant interaction effect between the category of knowledge and the type of judgment used to evaluate members of these semantic categories. Typicality judgments recruited greater temporal-occipital activation relative to Pleasantness judgments of the same category, and this was seen for comparisons of all three semantic categories. However, when contrasted with Typicality judgments, Pleasantness judgments activated a different anatomic distribution for each semantic category. These findings are consistent with a dynamic approach to semantic memory that includes at least two components: semantic knowledge and semantic processes that interpret this knowledge in several ways depending on the particular semantic challenge.

Cerebrospinal fluid profile in frontotemporal dementia and Alzheimer's disease.

We assessed cerebrospinal fluid (CSF) levels of tau and other biomarkers of neurodegenerative disease. CSF tau levels vary widely in reports of frontotemporal dementia (FTD). CSF samples were assayed for tau, amyloid beta1-42 (A1-42), and the isoprostane 8,12-iso-iPF2a-VI (iP) prospectively in 64 patients with FTD, retrospectively in 26 autopsied cases with FTD or Alzheimer's disease (AD), and in 13 healthy seniors. To validate our observations in vivo, we correlated CSF tau levels with cortical atrophy in 17 FTD patients using voxel-based morphometry analyses of high-resolution magnetic resonance imaging. CSF levels of tau, Abeta1-42, and iP differed significantly in FTD compared with AD. Individual patient analyses showed that 34% of FD patients had significantly low levels of CSF tau, although this was never seen in AD. A discriminant analysis based on CSF levels of tau, Abeta1-42, and iP was able to classify 88.5% of these patients in a manner that corresponds to their clinical or autopsy diagnosis. Magnetic resonance imaging studies showed that CSF tau levels correlate significantly with right frontal and left temporal cortical atrophy, brain regions known to be atrophic in patients with autopsy-proved FTD. We conclude that CSF tau levels are significantly reduced in many patients with FTD.

Variability in subcortical aphasia is due to variable sites of cortical hypoperfusion.

A variety of fluent and nonfluent aphasias have been reported after left basal ganglia stroke. It has been speculated that this heterogeneity may reflect variations in cortical hypoperfusion resulting from large vessel stenosis. To test this hypothesis, a consecutive series of 24 patients with left caudate infarct identified with diffusion-weighted imaging underwent language testing and perfusion-weighted imaging < 24h from onset of symptoms. Specific regions in perisylvian cortex were rated for the percentage of the region that was hypoperfused. Aphasia type was determined on the basis of speech fluency, comprehension, and repetition performance on the language tests. Association between aphasia type/language impairment and regions of hypoperfusion were identified with Fisher's exact tests. Results demonstrated that in patients with acute left caudate infarct, the presence and type of aphasia reflected regions of hypoperfusion, and generally followed predictions based on chronic lesion studies, regarding anatomical lesions associated with classic aphasia types.

Re-examining the brain regions crucial for orchestrating speech articulation.

A traditional method of localizing brain functions has been to identify shared areas of brain damage in individuals who have a particular deficit. The rationale of this 'lesion overlap' approach is straightforward: if the individuals can no longer perform the function, the area of brain damaged in most of these individuals must have been responsible for that function. However, the reciprocal association, i.e. the probability of the lesion causing the deficit, is often not evaluated. In this study, we illustrate potential weaknesses of this approach, by re-examining regions of the brain essential for orchestrating speech articulation. A particularly elegant and widely cited lesion overlap study identified the superior part of the precentral gyrus of the insula (in the anterior insula) as the shared area of damage in chronic stroke patients with 'apraxia of speech', a disorder of motor planning and programming of speech. Others have confirmed that patients with apraxia of speech commonly have damage to the anterior insula. However, this reliable association might reflect the vulnerability of the insula to damage following occlusion or narrowing of the middle cerebral artery (which can independently cause apraxia of speech and many other deficits). To evaluate this possibility, we examined the relationship between apraxia of speech and the insula in three unique ways: (i) we determined the probability of the lesion causing the deficit, as well as the deficit being associated with the lesion, by examining speech articulation and advanced MRIs in two consecutive series of patients with acute left hemisphere, non-lacunar stroke, 40 with and 40 without insular damage; (ii) we studied patients at stroke onset to identify the deficit before it resolved in cases of small stroke; and (iii) we identified regions of dysfunctional brain tissue, as well as structural damage. Using this approach, we found no association between apraxia of speech and lesions of the left insula, anterior insula or superior tip of the precentral gyrus of the insula. Instead, in patients with and without insular lesions, apraxia of speech was associated with structural damage or low blood flow in left posterior inferior frontal gyrus. These results illustrate a potential limitation of lesion overlap studies, and illustrate an alternative method for identifying brain-behaviour relationships.

What's in a name: voxel-based morphometric analyses of MRI and naming difficulty in Alzheimer's disease, frontotemporal dementia and corticobasal degeneration.

Confrontation naming is impaired in neurodegenerative conditions like Alzheimer's disease (AD), frontotemporal dementia (FTD) and corticobasal degeneration (CBD). Some behavioural observations suggest a common source of impaired naming across these patient groups, while others find partially unique patterns of naming difficulty. We hypothesized that a large-scale neural network underlies naming, and that patterns of impaired naming in AD, FTD and CBD reflect cortical atrophy that interrupts this network in a manner that is partially shared and partially unique across these patient groups. We tested this hypothesis by correlating naming impairments with voxel-based morphometric (VBM) analyses of cortical atrophy in structural MRIs of 50 patients. We found significant naming deficits in all patient groups. Naming also correlated with lexical retrieval in all patient groups, including subgroups of patients with FTD. VBM analyses showed significant cortical atrophy, which was shared across AD, FTD and CBD patients in the left lateral temporal cortex; this area correlated with naming accuracy in all groups. Left lateral temporal atrophy thus appears to interfere with a lexical retrieval component of naming in AD, FTD and CBD. Impaired naming also correlated with semantic memory and visual perceptual-spatial functioning in specific groups of patients and, correspondingly, naming correlated with cortical atrophy in partially distinct neuroanatomical distributions in AD, FTD, CBD and subgroups of patients with FTD. These partially unique correlation profiles appear to reflect selective interruption of other components of the naming process, including semantic and visual perceptual-spatial functioning. These findings are consistent with the hypothesis that a large-scale neural network supports naming, and that this network is interrupted in several distinct ways in patients with neurodegenerative diseases.