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My team studies the human neural bases of cognitive functions and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and psychophysical techniques. We are interested in the large-scale brain structural and functional networks in healthy developing and aging brain and symptoms-related changes in diseases such as neurodegenerative disorders and psychosis. Statistical, computational, and machine learning methods are developed to analyze and fuse multimodal neuroimaging data. By integrating longitudinal behavior, neuroimaging, and genotype data, our long-term goal is to investigate the interactions among brain network dynamics, behavior, diseases, and genotypes to develop non-invasive biomarkers for early detection, differential diagnosis, progression monitoring, and treatment design. The current research interests in her lab include: • Detect early brain network changes in preclinical and clinical neuropsychiatric disorders such as Alzheimer’s disease and psychosis • Understand the neurophysiological signatures and behavioral relevance of time-varying brain functional connectivity • Examine the longitudinal brain network changes and its associations with cognitive and mental problems in the developing and ageing brain • Investigate the underlying neural mechanism of brain-computer interface-based intervention • Examine the influence of amyloid-beta, tau, and cerebrovascular pathology on brain functional and structural connectivity changes in ageing • Develop machine learning and statistical methods for big data analysis, brain decoding, brain-behavior associations, and disease prognosis 

Website: www.neuroimaginglab.org Twitter: @MNNDL_lab

Influence of cerebrovascular disease on brain networks in prodromal and clinical Alzheimer’s disease.

Brain – Chong JSX; Liu SW; Loke YM; Hilal S; Ikram MK; Y Xu; Tan BY; Venketasubramanian N; Chen CLH; Zhou J (2017)

140 (11); 3012-3022 (Editor's choice)

Predicting regional neurodegeneration from the healthy brain functional connectome.

Neuron – Zhou J; Gennatas ED; Kramer JH; Miller BL; Seeley WW (2012)

73 (6); 1216-27 (Cover article)

Progression from selective to general involvement of hippocampal subfields in schizophrenia.

Molecular Psychiatry – Ho NF; Iglesias JE; Sum MY; Kuswanto CN; Sitoh YY; De Souza J; Hong Z; Fischl B; Roffman JL; Zhou J*; Sim K*; Holt DJ* (*Joint senior) (2017)

22 (1); 142-152

Divergent network connectivity changes in behavioural variant frontotemporal dementia and Alzheimer's disease.

Brain – Zhou J; Greicius MD; Gennatas ED; Growdon ME; Jang JY; Rabinovici GD; Kramer JH; Weiner M; Miller BL; Seeley WW (2010)

133 (5); 1352-67

Reduced functional segregation between the default mode network and the executive control network in healthy older adults: A longitudinal study.

NeuroImage – Ng KK; Lo JC; Lim JKW; Chee MWL; Zhou J (2016)

133 321-330

Spontaneous eyelid closures link vigilance fluctuation with fMRI dynamic connectivity states.

Proceedings of the National Academy of Sciences of the United States of America – Wang C; Ong JL; Patanaik A; Zhou J*; Chee MWL* (Joint senior) (2016)

113 (34); 9653-8

Large-scale network topology reveals heterogeneity in individuals with at risk mental state for psychosis: findings from the longitudinal youth-at-risk study.

Cerebral Cortex – Wang C; Lee J; Ho NF; Lim KWJ; Poh JS; Rekhi G; Krishnan R; Keefe RSE; Adcock RA; Wood SJ; Fornito A; Chee MWL; Zhou J (2017)

Oct 27 1-10

Lack of evidence for regional brain volume or cortical thickness abnormalities in youths at clinical high risk for psychosis: Findings from the longitudinal youth at risk study.

Schizophrenia Bulletin – Klauser P; Zhou J*; Lim JK; Poh JS; Zheng H; Tng HY; Krishnan R; Lee J; Keefe RS; Adcock RA; Wood SJ; Fornito A; Chee MWL (* corresponding and joint first) (2015)

41 (6); 1285-1293

Differential age-dependent associations of gray matter volume and white matter integrity with processing speed in healthy older adults.

NeuroImage – Hong Z; Ng KK; Sim SKY; Ngeow MY; Zheng H; Lo JC; Chee MWL; Zhou J (2015)

123 42-50

Distinct white matter microstructural abnormalities and extracellular water increases relate to cognitive impairment in AD with and without cerebrovascular disease.

Alzheimer’s Research and Therapy – Ji F; Pasternak O; Liu SW; Choo BL; Hilal S; Xu X; Ikram K; Venketasubramanian N; Chen CLH; Zhou J (2017)

17 9-63