LENA PALANIYAPPAN

Dr. LENA PALANIYAPPAN

McGill University, Montréal, Quebec, Canada
orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2012 in Journal of Psychiatry and Neuroscience
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Journal Article
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LENA PALANIYAPPANLENA PALANIYAPPAN
LENA PALANIYAPPAN
PLPeter F. Liddle
Peter F. Liddle
The insular cortex is one of the brain regions that show consistent abnormalities in both structural and functional neuroimaging studies of schizophrenia. In healthy individuals, the insula has been implicated in a myriad of physiologic functions. The anterior cingulate cortex (ACC) and insula together constitute the salience network, an intrinsic large-scale network showing strong functional connectivity. Considering the insula as a functional unit along with the ACC provides an integrated understanding of the role of the insula in information processing. In this review, we bring together evidence from imaging studies to understand the role of the salience network in schizophrenia and propose a model of insular dysfunction in psychosis.

1 August 2013 in Neuron
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Journal Article
Closed access
LENA PALANIYAPPANLENA PALANIYAPPAN
LENA PALANIYAPPAN
MSMolly Simmonite
Molly Simmonite
TWThomas P. White
Thomas P. White
ELElizabeth B. Liddle
Elizabeth B. Liddle
PLPeter F. Liddle
Peter F. Liddle

1 April 2015 in Neuroscience & Biobehavioral Reviews
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Journal Article
Closed access
SISarina J. Iwabuchi
Sarina J. Iwabuchi
RKRajeev Krishnadas
Rajeev Krishnadas
CLChunbo Li
Chunbo Li
DADorothee P. Auer
Dorothee P. Auer
Joaquim RaduàJoaquim Raduà
Joaquim Raduà
LENA PALANIYAPPANLENA PALANIYAPPAN
LENA PALANIYAPPAN

1 January 2013 in JAMA Psychiatry
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Journal Article
Open access
PDF file
CEChristine Ecker
Christine Ecker
CGCedric Ginestet
Cedric Ginestet
YFYue Feng
Yue Feng
PJPatrick Johnston
Patrick Johnston
MLMichael V. Lombardo
Michael V. Lombardo
FCfor the MRC AIMS Consortium
for the MRC AIMS Consortium
Autism spectrum disorder (ASD) is characterized by a triad of symptoms, namely impaired social communication, deficits in social reciprocity, and repetitive and stereotyped behavior.1,2 There is consensus that ASD is a highly genetic neurodevelopmental condition that is accompanied by differences in brain anatomy.

1 January 2019 in Biological Psychiatry
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Journal Article
Closed access
KSKaustubh Supekar
Kaustubh Supekar
WCWeidong Cai
Weidong Cai
RKRajeev Krishnadas
Rajeev Krishnadas
LENA PALANIYAPPANLENA PALANIYAPPAN
LENA PALANIYAPPAN
VMVinod Menon
Vinod Menon

6 May 2015 in Schizophrenia
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Journal Article
Open access
PDF file
WCWei Cheng
Wei Cheng
LENA PALANIYAPPANLENA PALANIYAPPAN
LENA PALANIYAPPAN
MLMingli Li
Mingli Li
KKKeith M Kendrick
Keith M Kendrick
JZJie Zhang
Jie Zhang
JFJianfeng Feng
Jianfeng Feng
Background: Wernicke’s concept of ‘sejunction’ or aberrant associations among specialized brain regions is one of the earliest hypotheses attempting to explain the myriad of symptoms in psychotic disorders. Unbiased data mining of all possible brain-wide connections in large data sets is an essential first step in localizing these aberrant circuits.Methods: We analyzed functional connectivity using the largest resting-state neuroimaging data set reported to date in the schizophrenia literature (415 patients vs. 405 controls from UK, USA, Taiwan, and China). An exhaustive brain-wide association study at both regional and voxel-based levels enabled a continuous data-driven discovery of the key aberrant circuits in schizophrenia.Results: Results identify the thalamus as the key hub for altered functional networks in patients. Increased thalamus–primary somatosensory cortex connectivity was the most significant aberration in schizophrenia (P=10−18). Overall, a number of thalamic links with motor and sensory cortical regions showed increased connectivity in schizophrenia, whereas thalamo–frontal connectivity was weakened. Network changes were correlated with symptom severity and illness duration, and support vector machine analysis revealed discrimination accuracies of 73.53–80.92%.Conclusions: Widespread alterations in resting-state thalamocortical functional connectivity is likely to be a core feature of schizophrenia that contributes to the extensive sensory, motor, cognitive, and emotional impairments in this disorder. Changes in this schizophrenia-associated network could be a reliable mechanistic index to discriminate patients from healthy controls.