Search

Significance Nonhuman primates have a rich repertoire of species-specific calls, but they do not show vocal learning. The usefulness of nonhuman primate models for studies of speech and language has, therefore, been questioned. This study shows that macaques can learn to produce novel sound sequences with their hands by pressing levers on a keyboard. Using awake functional MRI, we find activation of motor cortex and putamen, when the monkeys are listening to the same sound sequences they had learned to produce. The results indicate that auditory–motor training in monkeys can lead to the coupling of auditory and motor structures of the brain. This paradigm may be able to serve as a model system for the evolution of speech in primates., Human speech production requires the ability to couple motor actions with their auditory consequences. Nonhuman primates might not have speech because they lack this ability. To address this question, we trained macaques to perform an auditory–motor task producing sound sequences via hand presses on a newly designed device (“monkey piano”). Catch trials were interspersed to ascertain the monkeys were listening to the sounds they produced. Functional MRI was then used to map brain activity while the animals listened attentively to the sound sequences they had learned to produce and to two control sequences, which were either completely unfamiliar or familiar through passive exposure only. All sounds activated auditory midbrain and cortex, but listening to the sequences that were learned by self-production additionally activated the putamen and the hand and arm regions of motor cortex. These results indicate that, in principle, monkeys are capable of forming internal models linking sound perception and production in motor regions of the brain, so this ability is not special to speech in humans. However, the coupling of sounds and actions in nonhuman primates (and the availability of an internal model supporting it) seems not to extend to the upper vocal tract, that is, the supralaryngeal articulators, which are key for the production of speech sounds in humans. The origin of speech may have required the evolution of a “command apparatus” similar to the control of the hand, which was crucial for the evolution of tool use.

The neural basis of speech processing is still a matter of great debate. Phonotactic knowledge—knowledge of the allowable sound combinations in a language—remains particularly understudied. The purpose of this study was to investigate the brain regions crucial to phonotactic knowledge in left-hemisphere stroke survivors. Results were compared to areas in which gray matter anatomy related to phonotactic knowledge in healthy controls. 44 patients with chronic left-hemisphere stroke, and 32 controls performed an English-likeness rating task on 60 auditory non-words of varying phonotactic regularities. They were asked to rate on a 1–5 scale, how close each non-word sounded to English. Patients' performance was compared to that of healthy controls, using mixed effects modeling. Multivariate lesion-symptom mapping and voxel-based morphometry were used to find the brain regions important for phonotactic processing in patients and controls respectively. The results showed that compared to controls, stroke survivors were less sensitive to phonotactic regularity differences. Lesion-symptom mapping demonstrated that a loss of sensitivity to phonotactic regularities was associated with lesions in left angular gyrus and posterior middle temporal gyrus. Voxel-based morphometry also revealed a positive correlation between gray matter density in left angular gyrus and sensitivity to phonotactic regularities in controls. We suggest that the angular gyrus is used to compare the incoming speech stream to internal predictions based on the frequency of sound sequences in the language derived from stored lexical representations in the posterior middle temporal gyrus.

Background While the evidence for hippocampal structural abnormalities in schizophrenia is now well accepted, whether there is differentially greater volume loss within specific subregions of the hippocampus remains a matter of some debate. Here we present volume estimates of anterior and posterior hippocampal volumes using a novel morphometric protocol. Methods We studied 25 male patients with schizophrenia and 25 age-matched male control subjects. Hippocampal volumes were estimated using a three-dimensional morphometric protocol for the analysis of high-resolution structural magnetic resonance images (MRI). Anterior hippocampal volumes were differentiated from posterior hippocampal volumes by the presence of the uncus in coronal slices. Results While the patients with schizophrenia had significantly smaller overall hippocampal volumes relative to the control group, there was no evidence for a topographically specific pattern of volume loss along the anterior–posterior hippocampal axis. Conclusions These results confirm the presence of overall hippocampal volume decreases in patients with schizophrenia, but do not confirm a topographically specific localization of this effect. It appears that the hippocampal volume deficit in schizophrenia is diffuse, a finding that has important consequences for understanding the underlying pathophysiologic mechanisms in schizophrenia.

Auditory word-form recognition was originally proposed by Wernicke to occur within left superior temporal gyrus (STG), later further specified to be in posterior STG. To account for clinical observations (specifically paraphasia), Wernicke proposed his sensory speech center was also essential for correcting output from frontal speech-motor regions. Recent work, in contrast, has established a role for anterior STG, part of the auditory ventral stream, in the recognition of species-specific vocalizations in nonhuman primates and word-form recognition in humans. Recent work also suggests monitoring self-produced speech and motor control are associated with posterior STG, part of the auditory dorsal stream. Working without quantitative methods or evidence of sensory cortex’ hierarchical organization, Wernicke co-localized functions that today appear dissociable. “Wernicke’s area” thus may be better construed as two cortical modules, an auditory word-form area (AWFA) in the auditory ventral stream and an “inner speech area” in the auditory dorsal stream.

In simplest terms, language is the syntactic combination of concepts (semantics), which are mnemonically addressed with man-made sensory-based representations (word-forms). The evolution of language, therefore, is minimally the evolution of competency for learning the grammar and words of a given language. Apes have an ability to learn symbolconcept associations across several modalities, albeit an impoverished ability. No conclusive demonstration, however, exists for grammatical processing in non-human primates. Grammar, thus, appears to be the more recent and unique innovation. (Speech, also unique, is secondary as it relates to expression and as sign language is equally expressive.) Chomsky and colleagues famously proposed grammatical recursion is “recently evolved and unique to our species” and that it is the minimum characteristic of the faculty of language (Hauser et al., 2002; Chomsky, 2010). In The Recursive Mind, Michael Corballis disputes this, arguing recursion’s incorporation into other cognitive domains antedates its incorporation into language. Further, he argues the language faculty evolved for communication, not cognition

Spoken word recognition requires complex, invariant representations. Using a meta-analytic approach incorporating more than 100 functional imaging experiments, we show that preference for complex sounds emerges in the human auditory ventral stream in a hierarchical fashion, consistent with nonhuman primate electrophysiology. Examining speech sounds, we show that activation associated with the processing of short-timescale patterns (i.e., phonemes) is consistently localized to left mid-superior temporal gyrus (STG), whereas activation associated with the integration of phonemes into temporally complex patterns (i.e., words) is consistently localized to left anterior STG. Further, we show left mid- to anterior STG is reliably implicated in the invariant representation of phonetic forms and that this area also responds preferentially to phonetic sounds, above artificial control sounds or environmental sounds. Together, this shows increasing encoding specificity and invariance along the auditory ventral stream for temporally complex speech sounds.

Smaller medial temporal lobe volume is a frequent finding in studies of patients with schizophrenia, but the relative contributions of the hippocampus and three surrounding cortical regions (entorhinal cortex, perirhinal cortex, and parahippocampal cortex) are poorly understood. We tested the hypothesis that the volumes of medial temporal lobe regions are selectively changed in schizophrenia. We studied 19 male patients with schizophrenia and 19 age-matched male control subjects. Hippocampal and cortical volumes were estimated using a three-dimensional morphometric protocol for the analysis of high-resolution structural magnetic resonance images, and repeated measures ANOVA was used to test for region-specific differences. Patients had smaller overall medial temporal lobe volumes compared to controls. The volume difference was not specific for either region or hemisphere. The finding of smaller medial temporal lobe volumes in the absence of regional specificity has important implications for studying the functional role of the hippocampus and surrounding cortical regions in schizophrenia.

Background Patients with schizophrenia have smaller hippocampal volumes and perform abnormally on most declarative memory tasks. Although these findings are likely related, the impact of hippocampal pathology on cognitive performance in schizophrenia remains unclear. This study examined this relationship by measuring the volume of the hippocampus and its activation during memory task performance. Methods Participants included 15 patients with schizophrenia and 16 age-matched control subjects. Hippocampal volume was determined via three-dimensional volumetric analysis of high-resolution magnetic resonance images. Hippocampal activity was assessed by measuring changes in blood oxygen level–dependent signal during a recognition memory task. Results Patients with schizophrenia had smaller hippocampal volumes bilaterally and demonstrated poorer performance on the recognition memory task, largely because of a heightened rate of false alarms to novel stimuli. Both groups showed robust hippocampal activity to old and new items when compared with a low-level baseline task; however, direct comparison of hippocampal activity during recognition task performance revealed that healthy control, but not the schizophrenia, subjects showed significant right anterior hippocampal activation during the evaluation of novel items. Conclusions The impaired ability to classify new items as previously not experienced is associated with decreased recruitment and smaller volume of the hippocampus in schizophrenia.