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Dive into the research topics where Kadharbatcha S. Saleem is active.

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Featured researches published by Kadharbatcha S. Saleem.


Proceedings of the National Academy of Sciences of the United States of America | 2014

Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited

Cibu Thomas; Frank Q. Ye; M. Okan Irfanoglu; Pooja Modi; Kadharbatcha S. Saleem; David A. Leopold; Carlo Pierpaoli

Significance Diffusion-weighted MRI (DWI) tractography is widely used to map structural connections of the human brain in vivo and has been adopted by large-scale initiatives such as the human connectome project. Our results indicate that, even with high-quality data, DWI tractography alone is unlikely to provide an anatomically accurate map of the brain connectome. It is crucial to complement tractography results with a combination of histological or neurophysiological methods to map structural connectivity accurately. Our findings, however, do not diminish the importance of diffusion MRI as a noninvasive tool that offers important quantitative measures related to brain tissue microstructure and white matter architecture. Tractography based on diffusion-weighted MRI (DWI) is widely used for mapping the structural connections of the human brain. Its accuracy is known to be limited by technical factors affecting in vivo data acquisition, such as noise, artifacts, and data undersampling resulting from scan time constraints. It generally is assumed that improvements in data quality and implementation of sophisticated tractography methods will lead to increasingly accurate maps of human anatomical connections. However, assessing the anatomical accuracy of DWI tractography is difficult because of the lack of independent knowledge of the true anatomical connections in humans. Here we investigate the future prospects of DWI-based connectional imaging by applying advanced tractography methods to an ex vivo DWI dataset of the macaque brain. The results of different tractography methods were compared with maps of known axonal projections from previous tracer studies in the macaque. Despite the exceptional quality of the DWI data, none of the methods demonstrated high anatomical accuracy. The methods that showed the highest sensitivity showed the lowest specificity, and vice versa. Additionally, anatomical accuracy was highly dependent upon parameters of the tractography algorithm, with different optimal values for mapping different pathways. These results suggest that there is an inherent limitation in determining long-range anatomical projections based on voxel-averaged estimates of local fiber orientation obtained from DWI data that is unlikely to be overcome by improvements in data acquisition and analysis alone.


The Journal of Neuroscience | 2011

Negative Reward Signals from the Lateral Habenula to Dopamine Neurons Are Mediated by Rostromedial Tegmental Nucleus in Primates

Simon Hong; Thomas C. Jhou; Mitchell K. Smith; Kadharbatcha S. Saleem; Okihide Hikosaka

Lateral habenula (LHb) neurons signal negative “reward-prediction errors” and inhibit midbrain dopamine (DA) neurons. Yet LHb neurons are largely glutamatergic, indicating that this inhibition may occur through an intermediate structure. Recent studies in rats have suggested a candidate for this role, the GABAergic rostromedial tegmental nucleus (RMTg), but this neural pathway has not yet been tested directly. We now show using electrophysiology and anatomic tracing that (1) the monkey has an inhibitory structure similar to the rat RMTg; (2) RMTg neurons receive excitatory input from the LHb, exhibit negative reward-prediction errors, and send axonal projections near DA soma; and (3) stimulating this structure inhibits DA neurons. Surprisingly, some RMTg neurons responded to reward cues earlier than the LHb, and carry “state-value” signals not found in DA neurons. Thus, our data suggest that the RMTg translates LHb reward-prediction errors (negative) into DA reward-prediction errors (positive), while transmitting additional motivational signals to non-DA networks.


Neuron | 2002

Magnetic Resonance Imaging of Neuronal Connections in the Macaque Monkey

Kadharbatcha S. Saleem; J Pauls; M Augath; T Trinath; Burkhard A. Prause; Tsutomu Hashikawa; Nk Logothetis

Recently, an MRI-detectable, neuronal tract-tracing method in living animals was introduced that exploits the anterograde transport of manganese (Mn2+). We present the results of experiments simultaneously tracing manganese chloride and wheat germ agglutinin conjugated to horseradish peroxidase (WGA-HRP) to evaluate the specificity of the former by tracing the neuronal connections of the basal ganglia of the monkey. Mn2+ and WGA-HRP yielded remarkably similar and highly specific projection patterns. By showing the sequential transport of Mn2+ from striatum to pallidum-substantia nigra and then to thalamus, we demonstrated MRI visualization of transport across at least one synapse in the CNS of the primate. Transsynaptic tract tracing in living primates will allow chronic studies of development and plasticity and provide valuable anatomical information for fMRI and electrophysiological experiments in primates.


The Journal of Comparative Neurology | 2008

Complementary circuits connecting the orbital and medial prefrontal networks with the temporal, insular, and opercular cortex in the macaque monkey

Kadharbatcha S. Saleem; Hideki Kondo; Joseph L. Price

The origin and termination of axonal connections between the orbital and medial prefrontal cortex (OMPFC) and the temporal, insular, and opercular cortex have been analyzed with anterograde and retrograde axonal tracers, injected in the OMPFC or temporal cortex. The results show that there are two distinct, complementary, and reciprocal neural systems, related to the previously defined “orbital” and “medial” prefrontal networks. The orbital prefrontal network, which includes areas in the central and lateral part of the orbital cortex, is connected with vision‐related areas in the inferior temporal cortex (especially area TEav) and the fundus and ventral bank of the superior temporal sulcus (STSf/v), and with somatic sensory‐related areas in the frontal operculum (OPf) and dysgranular insular area (Id). No connections were found between the orbital network and auditory areas. The orbital network is also connected with taste and olfactory cortical areas and the perirhinal cortex and appears to be involved in assessment of sensory objects, especially food. The medial prefrontal network includes areas on the medial surface of the frontal lobe, medial orbital areas, and two caudolateral orbital areas. It is connected with the rostral superior temporal gyrus (STGr) and the dorsal bank of the superior temporal sulcus (STSd). This region is rostral to the auditory parabelt areas, and there are only relatively light connections between the auditory areas and the medial network. This system, which is also connected with the entorhinal, parahippocampal, and cingulate/retrosplenial cortex, may be involved in emotion and other self‐referential processes. J. Comp. Neurol. 506:659–693, 2008.


The Journal of Comparative Neurology | 2005

Differential Connections of the Perirhinal and Parahippocampal Cortex with the Orbital and Medial Prefrontal Networks in Macaque Monkeys

Hideki Kondo; Kadharbatcha S. Saleem; Joseph L. Price

Previous anatomical studies indicate that the orbital and medial prefrontal cortex (OMPFC) of monkeys is organized into an “orbital” network, which appears to be related to feeding and reward, and a “medial” network, related to visceral control and emotion. In this study, we examined the connections of the orbital and medial prefrontal networks with the perirhinal (areas 35 and 36) and parahippocampal (areas TF and TH) cortex with anterograde and retrograde axonal tracers. The perirhinal cortex is reciprocally connected with orbital network areas Iapm, Iam, Ial, 13m, 13l, 12r, and 11l. In contrast, the parahippocampal cortex is reciprocally connected with the medial network, especially areas around the corpus callosum (areas 24a/b, caudal 32, and 25), and with area 11m. Projections from the parahippocampal cortex also extend to areas 10m, 10o, Iai, and rostral area 32, as well as to dorsolateral areas 9 and 46. In addition, both the perirhinal and parahippocampal cortex are reciprocally connected with areas that are intermediate between the orbital and medial networks (areas 13a, 13b, and 14c) and with the supracallosal area 24a′/b′. Outside the frontal cortex, the perirhinal cortex and the orbital prefrontal network are both interconnected with the ventral part of the temporal pole (TG), area TE and the ventral bank and fundus of the superior temporal sulcus (STS), and the dysgranular insula. In contrast, the parahippocampal cortex and the medial prefrontal network are connected with the dorsal TG, the rostral superior temporal gyrus (STG) and dorsal bank of STS, and the retrosplenial cortex. J. Comp. Neurol. 493:479–509, 2005.


The Journal of Comparative Neurology | 2003

Differential connections of the temporal pole with the orbital and medial prefrontal networks in macaque monkeys

Hideki Kondo; Kadharbatcha S. Saleem; Joseph L. Price

Previous studies indicate that the orbital and medial prefrontal cortex (OMPFC) is organized into “orbital” and “medial” networks, which have distinct connections with cortical, limbic, and subcortical structures. In this study, retrograde and anterograde tracer experiments in monkeys demonstrated differential connections between the medial and orbital networks and the dorsal and ventral parts of the temporal pole. The dorsal part, including dysgranular and granular areas (TGdd and TGdg), is reciprocally connected with the medial network areas on the medial wall and gyrus rectus (areas 10m, 10o, 11m, 13a, 14c, 14r, 25, and 32) and on the lateral orbital surface (areas Iai and 12o). The strongest connections are with areas 10m (caudal part), 14c, 14r, 25, 32, and Iai. The agranular temporal pole (TGa) is connected with several areas, but most strongly with medial network area 25. The granular area around the superior temporal sulcus (TGsts) and the ventral dysgranular and granular areas (TGvd and TGvg) are reciprocally connected with the orbital network (especially areas 11l, 13b, 13l, 13m, Ial, Iam, and Iapm). TGsts is strongly connected with the entire orbital network, whereas areas TGvd and TGvg have lighter and more limited connections. Intrinsic connections within the temporal pole are also restricted to dorsal or ventral parts. Together with evidence that the dorsal and ventral temporal pole are differentially connected to auditory and visual areas of the superior and inferior temporal cortex, the results indicate separate connections between these systems and the medial and orbital prefrontal networks. J. Comp. Neurol. 465:499–523, 2003.


Visual Neuroscience | 1994

Divergent feedback connections from areas V4 and TEO in the macaque

Kathleen S. Rockland; Kadharbatcha S. Saleem; Keiji Tanaka

Extrastriate areas TEO and V4 have been associated with form and color vision. Area V4 has also been suggested to participate in processes concerned with attention, stimulus salience, and perceptual learning. In a continuing effort to elucidate the connectional interactions and microcircuitry of these areas, we describe in this report the pattern of feedback connections from TEO and V4. Connections were demonstrated by injections of the high-resolution anterograde tracers PHA-L or biocytin and further analyzed by reconstruction of 25 individual axons through serial sections. This analysis yielded several new results: (1) Both areas TEO and V4 have widespread feedback connections (defined by their preferential termination in layer 1 and avoidance of layer 4). From TEO, there are dense projections to area V4 and moderate ones to V2 and V1. From V4, there are dense projections to V2 and moderate ones to V3 and V1. (2) Terminal fields span large territories in area V1, up to 6.0 mm in the case of axons originating from TEO; up to 5.0 mm in the case of axons originating from V4. In V2, fields tend to be smaller, between 3.0-5.0 mm. (3) Many axons from TEO and some from V4 have terminations in both areas V1 and V2. (4) Because individual terminal clusters and segments are often larger than cytochrome oxidase compartments, especially in V1, we suggest they may not be correlated with this compartmental organization. These results are consistent with the hypothesis that feedback connections may contribute to processes other than perceptual discrimination.


NeuroImage | 2010

Genetics of primary cerebral gyrification: Heritability of length, depth and area of primary sulci in an extended pedigree of Papio baboons.

Peter Kochunov; David C. Glahn; Peter T. Fox; Jack L. Lancaster; Kadharbatcha S. Saleem; Wendy Shelledy; Karl Zilles; Paul M. Thompson; Olivier Coulon; Jean-François Mangin; John Blangero; Jeffrey Rogers

Genetic control over morphological variability of primary sulci and gyri is of great interest in the evolutionary, developmental and clinical neurosciences. Primary structures emerge early in development and their morphology is thought to be related to neuronal differentiation, development of functional connections and cortical lateralization. We measured the proportional contributions of genetics and environment to regional variability, testing two theories regarding regional modulation of genetic influences by ontogenic and phenotypic factors. Our measures were surface area, and average length and depth of eleven primary cortical sulci from high-resolution MR images in 180 pedigreed baboons. Average heritability values for sulcal area, depth and length (h(2)(Area)=.38+/-.22; h(2)(Depth)=.42+/-.23; h(2)(Length)=.34+/-.22) indicated that regional cortical anatomy is under genetic control. The regional pattern of genetic contributions was complex and, contrary to previously proposed theories, did not depend upon sulcal depth, or upon the sequence in which structures appear during development. Our results imply that heritability of sulcal phenotypes may be regionally modulated by arcuate U-fiber systems. However, further research is necessary to unravel the complexity of genetic contributions to cortical morphology.


The Journal of Comparative Neurology | 2007

Cytoarchitectonic and chemoarchitectonic subdivisions of the perirhinal and parahippocampal cortices in macaque monkeys.

Kadharbatcha S. Saleem; Joseph L. Price; Tsutomu Hashikawa

Although the perirhinal and parahippocampal cortices have been shown to be critically involved in memory processing, the boundaries and extent of these areas have been controversial. To produce a more objective and reproducible description, the architectonic boundaries and structure of the perirhinal (areas 35 and 36) and parahippocampal (areas TF and TH) cortices were analyzed in three macaque species, with four different staining methods [Nissl and immunohistochemistry for parvalbumin, nonphosphorylated neurofilaments (with SMI‐32), and the m2 muscarinic acetylcholine receptor]. We further correlated the architectonic boundary of the parahippocampal cortex with connections to and from different subregions of anterior area TE and with previously published connections with the prefrontal cortex and temporal pole (Kondo et al. [ 2005 ] J. Comp. Neurol. 493:479–509). Together, these data provided a clear delineation of the perirhinal and parahippocampal areas, although it differs from previous descriptions. In particular, we did not extend the perirhinal cortex into the temporal pole, and the lateral boundaries of areas 36 and TF with area TE were placed more medially than in other studies. The lateral boundary of area TF in Macaca fuscata was located more laterally than in Macaca fascicularis or Macaca mulatta, although there was no difference in architectonic structure. We recognized a caudal, granular part of the parahippocampal cortex that we termed “area TFO.” This area closely resembles the laterally adjacent area TE and the caudally adjacent area V4 but is clearly different from the more rostral area TF. These areas are likely to have distinct functions. J. Comp. Neurol. 500:973–1006, 2007.


The Journal of Comparative Neurology | 2014

Subdivisions and connectional networks of the lateral prefrontal cortex in the macaque monkey

Kadharbatcha S. Saleem; Brad Miller; Joseph L. Price

Neuroanatomical studies have long indicated that corticocortical connections are organized in networks that relate distinct sets of areas. Such networks have been emphasized by development of functional imaging methods for correlating activity across the cortex. Previously, two networks were recognized in the orbitomedial prefrontal cortex, the “orbital” and “medial” networks (OPFC and MPFC, respectively). In this study, three additional networks are proposed for the lateral prefrontal cortex: 1) a ventrolateral network (VLPFC) in and ventral to the principal sulcus; 2) a dorsal network (DPFC) in and dorsal to the principal sulcus and in the frontal pole; 3) a caudolateral network (CLPFC) in and rostral to the arcuate sulcus and the caudal principal sulcus. The connections of the first two networks are described here. Areas in each network are connected primarily with other areas in the same network, with overlaps around the principal sulcus. The VLPFC and DPFC are also connected with the OPFC and MPFC, respectively. Outside the prefrontal cortex, the VLPFC connects with specific areas related to somatic/visceral sensation and vision, in the frontoparietal operculum, insula, ventral bank/fundus of the superior temporal sulcus, inferior temporal gyrus, and inferior parietal cortex. In contrast, the DPFC connects with the rostral superior temporal gyrus, dorsal bank of the superior temporal sulcus, parahippocampal cortex, and posterior cingulate and retrosplenial cortex. Area 45a, in caudal VLPFC, is unique, having connections with all the networks. Its extrinsic connections resemble those of the DPFC. In addition, it has connections with both auditory belt/parabelt areas, and visual related areas. J. Comp. Neurol. 522:1641–1690, 2014.

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Keiji Tanaka

RIKEN Brain Science Institute

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Joseph L. Price

Washington University in St. Louis

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Mortimer Mishkin

National Institutes of Health

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Kang Cheng

RIKEN Brain Science Institute

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David A. Leopold

National Institutes of Health

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Tsutomu Hashikawa

RIKEN Brain Science Institute

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Frank Q. Ye

National Institutes of Health

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Hideki Kondo

Graduate University for Advanced Studies

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Richard C. Saunders

National Institutes of Health

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