Richard J. Binney

Bio: Richard J. Binney is an academic researcher from Bangor University. The author has contributed to research in topics: Semantic memory & Cognition. The author has an hindex of 19, co-authored 35 publications receiving 1790 citations. Previous affiliations of Richard J. Binney include University of California, San Francisco & Temple University.

The Ventral and Inferolateral Aspects of the Anterior Temporal Lobe Are Crucial in Semantic Memory: Evidence from a Novel Direct Comparison of Distortion-Corrected fMRI, rTMS, and Semantic Dementia

Abstract: Although there is an emerging consensus that the anterior temporal lobes (ATLs) are involved in semantic memory, it is currently unclear which specific parts of this region are implicated in semantic representation. Answers to this question are difficult to glean from the existing literature for 3 reasons: 1) lesions of relevant patient groups tend to encompass the whole ATL region; 2) while local effects of repetitive transcranial magnetic stimulation (rTMS) are spatially more specific, only the lateral aspects of the ATL are available to stimulation; and 3) until recently, functional magnetic resonance imaging (fMRI) studies were hindered by technical limitations such as signal distortion and dropout due to magnetic inhomogeneities and also, in some cases, by methodological factors, including a restricted field of view and the choice of baseline contrast for subtraction analysis. By utilizing the same semantic task across semantic dementia, rTMS, and distortion-corrected fMRI in normal participants, we directly compared the results across the 3 methods for the first time. The findings were highly convergent and indicated that crucial regions within the ATL for semantic representation include the anterior inferior temporal gyrus, anterior fusiform gyrus, and the anterior superior temporal sulcus.

Convergent connectivity and graded specialization in the rostral human temporal lobe as revealed by diffusion-weighted imaging probabilistic tractography

Abstract: In recent years, multiple independent neuroscience investigations have implicated critical roles for the rostral temporal lobe in auditory and visual perception, language, and semantic memory. Although arising in the context of different cognitive functions, most of these suggest that there is a gradual convergence of sensory information in the temporal lobe that culminates in modality-and perceptually invariant representations at the most rostral aspect. Currently, however, too little is known regarding connectivity within the human temporal lobe to be sure of exactly how and where convergence occurs; existing hypotheses are primarily derived on the basis of cross-species generalizations from invasive nonhuman primate studies, the validity of which is unclear, especially where language function is concerned. In this study, we map the connectivity of the human rostral temporal lobe in vivo for the first time using diffusion-weighted imaging probabilistic tractography. The results indicate that convergence of sensory information in the temporal lobe is in fact a graded process that occurs along both its longitudinal and lateral axes and culminates in the most rostral limits. We highlight the consistency of our results with those of prior functional neuroimaging, computational modeling, and patient studies. By going beyond simple fasciculus reconstruction, we systematically explored the connectivity of specific temporal lobe areas to frontal and parietal language regions. In contrast to the graded within-temporal lobe connectivity, this intertemporal connectivity was found to dissociate across caudal, mid, and rostral subregions. Furthermore, we identified a basal rostral temporal region with very limited connectivity to areas outside the temporal lobe, which aligns with recent evidence that this subregion underpins the extraction of modality-and context-invariant semantic representations.

Establishing task- and modality-dependent dissociations between the semantic and default mode networks.

Abstract: The default mode network (DMN) and semantic network (SN) are two of the most extensively studied systems, and both are increasingly used as clinical biomarkers in neurological studies. There are strong theoretical reasons to assume a relationship between the networks, as well as anatomical evidence that they might rely on overlapping cortical regions, such as the anterior temporal lobe (ATL) or angular gyrus (AG). Despite these strong motivations, the relationship between the two systems has received minimal attention. We directly compared the SN and DMN using a large (n = 69) distortion-corrected functional MRI (fMRI) dataset, spanning a range of semantic and nonsemantic tasks that varied input modality. The results showed that both networks fractionate depending on the semantic nature of the task, stimulus type, modality, and task difficulty. Furthermore, despite recent claims that both AG and ATL are semantic hubs, the two areas responded very differently, with results supporting the role of ATL, but not AG, in semantic representation. Specifically, the left ATL was positively activated for all semantic tasks, but deactivated during nonsemantic task performance. In contrast, the left AG was deactivated for all tasks, with the level of deactivation related to task difficulty. Thus, ATL and AG do not share a common interest in semantic tasks, but, rather, a common "disinterest" in nonsemantic tasks. The implications for the variability in the DMN, its cognitive coherence, and interpretation of resting-state fMRI data are discussed.

The neural and computational bases of semantic cognition

Abstract: Semantic cognition refers to our ability to use, manipulate and generalize knowledge that is acquired over the lifespan to support innumerable verbal and non-verbal behaviours. This Review summarizes key findings and issues arising from a decade of research into the neurocognitive and neurocomputational underpinnings of this ability, leading to a new framework that we term controlled semantic cognition (CSC). CSC offers solutions to long-standing queries in philosophy and cognitive science, and yields a convergent framework for understanding the neural and computational bases of healthy semantic cognition and its dysfunction in brain disorders.

Alzheimer's & Dementia: the Journal of the Alzheimer's Association.

Abstract: i n c y h h i t i a R Last month, Alzheimer’s & Dementia: The Journal of the lzheimer’s Association received acceptance for inclusion n MEDLINE, the bibliographic database of the U.S. Naional Library of Medicine (NLM). Three years since the aunch, this achievement marks an important recognition of he Journal’s scientific merit and contribution to the field of lzheimer’s disease research. The editors, our publishing artners from Elsevier, and our sponsoring colleagues from he Alzheimer’s Association are extremely thankful to the uthors, reviewers, Editorial Board members, and readers or their many valuable contributions. As the official journal of the Alzheimer’s Association, lzheimer’s & Dementia will now be circulated to the active embers of the Association’s new International Society to dvance Alzheimer Research and Treatment (ISTAART) imonthly, as well as other subscribers and libraries. The ournal will continue to cover critical scientific, medical, ocial, and policy issues that investigators and clinicians ace every day, on matters concerning healthy brain aging to ll forms of dementia. Unlike other journals in the field, lzheimer’s & Dementia bridges new thinking across dierse areas of investigation. This interdisciplinary journal rovides the impetus for new scientific initiatives and offers