Fengmei Fan

ORCID: 0000-0003-1028-6754
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About
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Research Areas
  • Functional Brain Connectivity Studies
  • Schizophrenia research and treatment
  • Advanced Neuroimaging Techniques and Applications
  • Mental Health Research Topics
  • Tryptophan and brain disorders
  • Neural dynamics and brain function
  • Advanced MRI Techniques and Applications
  • EEG and Brain-Computer Interfaces
  • Stress Responses and Cortisol
  • Bipolar Disorder and Treatment
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Transcranial Magnetic Stimulation Studies
  • Psychosomatic Disorders and Their Treatments
  • Mental Health and Psychiatry
  • Neural and Behavioral Psychology Studies
  • Memory and Neural Mechanisms
  • Neuroscience and Music Perception
  • Biochemical Analysis and Sensing Techniques
  • Neurotransmitter Receptor Influence on Behavior
  • Neuroscience and Neuropharmacology Research
  • Olfactory and Sensory Function Studies
  • Folate and B Vitamins Research
  • Traditional Chinese Medicine Studies
  • Hemispheric Asymmetry in Neuroscience
  • Epigenetics and DNA Methylation

Beijing HuiLongGuan Hospital
2016-2025

Peking University
2015-2025

National Institute of Mental Health
2025

SUNY Upstate Medical University
2025

Yale University
2022

University of Tartu
2022

Stellenbosch University
2020

École Polytechnique Fédérale de Lausanne
2020

University of Basel
2020

Beijing Normal University
2010-2020

Numerous studies argue that cortical reorganization may contribute to the restoration of motor function following stroke. However, evolution changes during post-stroke has been little studied. This study sought identify dynamic in functional organization, particularly topological characteristics, execution network stroke recovery process. Ten patients (nine male and one female) with subcortical infarctions were assessed by neurological examination scanned resting-state magnetic resonance...

10.1093/brain/awq043 article EN Brain 2010-03-30

Human brain function undergoes complex transformations across the lifespan. We employed resting-state functional MRI and graph-theory approaches to systematically chart lifespan trajectory of topological organization human whole-brain networks in 126 healthy individuals ranging age from 7 85 years. Brain were constructed by computing Pearson's correlations blood-oxygenation-level-dependent temporal fluctuations among 1024 parcellation units followed graph-based network analyses. observed...

10.1016/j.dcn.2013.11.004 article EN cc-by-nc-nd Developmental Cognitive Neuroscience 2013-11-28
Joaquim Raduà Eduard Vieta Russell T. Shinohara Peter Kochunov Yann Quidé and 95 more Melissa J. Green Cynthia Shannon Weickert Thomas W. Weickert Jason Bruggemann Tilo Kircher Igor Nenadić Murray J. Cairns Marc L. Seal Ulrich Schall Frans Henskens Janice M. Fullerton Bryan Mowry Christos Pantelis Rhoshel Lenroot Vanessa Cropley Carmel M. Loughland Rodney J. Scott Daniel H. Wolf Theodore D. Satterthwaite Yunlong Tan Kang Sim Fabrizio Piras Gianfranco Spalletta Nerisa Banaj Edith Pomarol‐Clotet Aleix Solanes Anton Albajes‐Eizagirre Erick J. Canales‐Rodríguez Salvador Sarró Annabella Di Giorgio Alessandro Bertolino Michael Stäblein Viola Oertel Christian Knöchel Stefan Borgwardt Stefan S. du Plessis Je‐Yeon Yun Jun Soo Kwon Udo Dannlowski Tim Hahn Dominik Grotegerd Clara Alloza Celso Arango Joost Janssen Covadonga M. Díaz‐Caneja Wenhao Jiang Vince D. Calhoun Stefan Ehrlich Kun Yang Nicola G. Cascella Yoichiro Takayanagi Akira Sawa Alexander S. Tomyshev И. С. Лебедева В. Г. Каледа Matthias Kirschner Cyril Höschl David Tomeček Antonín Škoch Thérèse van Amelsvoort Geor Bakker Anthony James Adrian Preda Andrea Weideman Dan J. Stein Fleur M. Howells Anne Uhlmann Henk Temmingh Carlos López‐Jaramillo Ana M. Díaz‐Zuluaga Lydia Fortea Eloy Martínez‐Heras Elisabeth Solana Sara Llufriú Neda Jahanshad Paul M. Thompson Jessica A. Turner Theo G.M. van Erp David C. Glahn Godfrey D. Pearlson Elliot Hong Axel Krug Vaughan J. Carr Paul A. Tooney Gavin Cooper Paul E. Rasser Patricia T. Michie Stanley V. Catts Raquel E. Gur Ruben C. Gur Fude Yang Fengmei Fan Jing Chen Hua Guo Shuping Tan

A common limitation of neuroimaging studies is their small sample sizes. To overcome this hurdle, the Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Consortium combines data from many institutions worldwide. However, introduces heterogeneity due to different scanning devices and sequences. ENIGMA projects commonly address with random-effects meta-analysis or mixed-effects mega-analysis. Here we tested whether batch adjustment method, ComBat, can further reduce site-related...

10.1016/j.neuroimage.2020.116956 article EN cc-by NeuroImage 2020-05-27
Dick Schijven Merel C. Postema Masaki Fukunaga Junya Matsumoto Kenichiro Miura and 95 more Sonja M. C. de Zwarte Neeltje E.M. van Haren Wiepke Cahn Hilleke E. Hulshoff Pol René S. Kahn Rosa Ayesa‐Arriola Víctor Ortiz‐García de la Foz Diana Tordesillas‐Gutiérrez Javier Vázquez‐Bourgon Benedicto Crespo‐Facorro Dag Alnæs Andreas Dahl Lars T. Westlye Ingrid Agartz Ole A. Andreassen Erik G. Jönsson Peter Kochunov Jason Bruggemann Stanley V. Catts Patricia T. Michie Bryan Mowry Yann Quidé Paul E. Rasser Ulrich Schall Rodney J. Scott Vaughan J. Carr Melissa J. Green Frans Henskens Carmel M. Loughland Christos Pantelis Cynthia Shannon Weickert Thomas W. Weickert Lieuwe de Haan Katharina Brosch Julia‐Katharina Pfarr Kai G. Ringwald Frederike Stein Andreas Jansen Tilo Kircher Igor Nenadić Bernd Krämer Oliver Gruber Theodore D. Satterthwaite Juan Bustillo Daniel H. Mathalon Adrian Preda Vince D. Calhoun Judith M. Ford Steven G. Potkin Jing Chen Yunlong Tan Zhiren Wang Hong Xiang Fengmei Fan Fabio Bernardoni Stefan Ehrlich Paola Fuentes‐Claramonte María Ángeles García‐León Amalia Guerrero‐Pedraza Raymond Salvador Salvador Sarró Edith Pomarol‐Clotet Valentina Ciullo Fabrizio Piras Daniela Vecchio Nerisa Banaj Gianfranco Spalletta Stijn Michielse Thérèse van Amelsvoort Erin W. Dickie Aristotle N. Voineskos Kang Sim Simone Ciufolini Paola Dazzan Robin M. Murray Woo‐Sung Kim Young‐Chul Chung Christina Andreou André Schmidt Stefan Borgwardt Andrew M. McIntosh Heather C. Whalley Stephen M. Lawrie Stefan S. du Plessis Hilmar Luckhoff Freda Scheffler Robin Emsley Dominik Grotegerd Rebekka Lencer Udo Dannlowski Jesse T. Edmond Kelly Rootes-Murdy Julia M. Stephen Andrew R. Mayer Linda A. Antonucci

Left–right asymmetry is an important organizing feature of the healthy brain that may be altered in schizophrenia, but most studies have used relatively small samples and heterogeneous approaches, resulting equivocal findings. We carried out largest case–control study structural asymmetries with MRI data from 5,080 affected individuals 6,015 controls across 46 datasets, using a single image analysis protocol. Asymmetry indexes were calculated for global regional cortical thickness, surface...

10.1073/pnas.2213880120 article EN cc-by Proceedings of the National Academy of Sciences 2023-03-28

Although research has provided abundant evidence for Taichi-induced improvements in psychological and physiological well-being, little is known about possible links to brain structure of Taichi practice. Using high-resolution MRI 22 Tai Chi Chuan (TCC) practitioners 18 controls matched age, sex education, we set out examine the underlying anatomical correlates long-term practice at two different levels regional specificity. For this purpose, parcel-wise vertex-wise analyses were employed...

10.1371/journal.pone.0061038 article EN cc-by PLoS ONE 2013-04-09

The default-mode network (DMN) is a set of functionally connected regions that play crucial roles in internal cognitive processing. Previous resting-state fMRI studies have demonstrated the intrinsic functional organization DMN undergoes remarkable reconfigurations during childhood and adolescence. However, these mainly focused on cross-sectional designs with small sample sizes, limiting consistency interpretations findings. Here, we used large longitudinal data comprising 305 typically...

10.1016/j.neuroimage.2020.117581 article EN cc-by NeuroImage 2020-11-20

Abstract This study aimed to quantify dynamic structural changes in the brain after subcortical stroke and identify areas that contribute motor recovery of affected limbs. High‐resolution MRI neurological examinations were conducted at five consecutive time points during year following 10 patients with left hemisphere infarctions involving pathways. Gray matter volume (GMV) was calculated using an optimized voxel‐based morphometry technique, GMV evaluated a mixed‐effects model. After stroke,...

10.1002/hbm.22034 article EN Human Brain Mapping 2012-03-19

Although schizophrenia is a brain disorder, increasing evidence suggests that there may be body-wide involvement in this illness. However, direct of structures involved the presumed peripheral-central interaction still unclear. Seventy-nine previously treatment-naïve first-episode patients who were within 2-week antipsychotics initial stabilization, and 41 age- sex-matched healthy controls enrolled study. Group differences subcortical regional measured by MRI subclinical cardiovascular,...

10.1093/schbul/sbz100 article EN Schizophrenia Bulletin 2019-08-17

Failure of antipsychotic medications to resolve symptoms in patients with schizophrenia creates a clinical challenge that is known as treatment resistance. The causes resistance are unknown, but it associated earlier age at onset and more severe cognitive deficits. authors tested the hypothesis white matter deficits involved both neurodevelopment severity higher risk resistance.The study sample (N=122; mean age, 38.2 years) included initiation (N=45), whose were responsive (N=40), resistant...

10.1176/appi.ajp.2019.18101212 article EN American Journal of Psychiatry 2019-07-29

Post-stroke depression (PSD) is one of the most frequent psychiatric disorders after stroke. However, underlying brain mechanism PSD remains unclarified. Using amplitude low-frequency fluctuation (ALFF) approach, we aimed to investigate abnormalities neural activity in patients, and further explored frequency time properties ALFF changes PSD.Resting-state fMRI data clinical were collected from 39 patients (PSD), 82 S without (Stroke), 74 age- sex-matched healthy controls (HC). across three...

10.1016/j.nicl.2023.103445 article EN cc-by-nc-nd NeuroImage Clinical 2023-01-01

<i>Objectives:</i> The mechanism underlying olfactory dysfunction in Parkinson’s disease (PD) remains unknown. current study aims to investigate the relationship between sequential changes of volume change cortex associated with function and degree deficiency performance PD. <i>Methods:</i> Based on arbitrary cut-off score measured by ‘five odors detection arrays’, subjects were classified into three groups: PD patients impairment (OPD, n = 12), without (NPD, 14),...

10.1159/000329371 article EN European Neurology 2011-01-01

Numerous studies have reported that the amnestic-type mild cognitive impairment (aMCI) patients impaired brain structural integrity and functional alterations separately.To investigate changes of gray matter amplitude low-frequency oscillations in with aMCI by combining magnetic resonance imaging (fMRI).Thirty-four 34 controls were recruited. We adopted optimized voxel-based morphometry to detect regions volume (GMV) loss induced aMCI. Then regional differences slow-4 band (0.027-0.073 Hz)...

10.1177/0284185114533329 article EN Acta Radiologica 2014-05-03

Abstract Patients with schizophrenia have patterns of brain deficits including reduced cortical thickness, subcortical gray matter volumes, and cerebral white integrity. We proposed the regional vulnerability index (RVI) to translate results Enhancing Neuro Imaging Genetics Meta‐Analysis studies individual level. calculated RVIs for cortical, subcortical, measurements a multimodality RVI. evaluated RVI as measure sensitive schizophrenia‐specific neuroanatomical symptoms studied timeline...

10.1002/hbm.25045 article EN cc-by Human Brain Mapping 2020-05-28

A dysfunctional default mode network (DMN) has been reported in patients with schizophrenia. However, the stability of deficits not determined across different stages disorder.We examined functional connectivity DMN subsystems 125 first-episode schizophrenia (FES) or recurrent (RES), compared to that 82 healthy controls. We tested robustness findings an independent cohort 158 and 39 performed resting-state analysis, strength connections within between three (core, dorsal medial prefrontal...

10.1017/s003329172000416x article EN Psychological Medicine 2020-11-13

Objective To explore differences and similarities in relationships between subcortical structure volumes neurocognition among the four subject groups, including first-episode schizophrenia (FES), bipolar disorder (BD), major depression (MDD), healthy controls (HCs). Methods We presented findings from neurocognitive analyses of 244 subjects (109 patients with FES; 63 BD, 30 MDD, 42 HCs). Using FreeSurfer software, 16 selected structures were automatically segmented analyzed for results seven...

10.3389/fpsyt.2021.747386 article EN cc-by Frontiers in Psychiatry 2022-01-25

Abstract Background and Hypothesis Population-based morphological covariance networks are widely reported to be altered in schizophrenia. Individualized brain network approaches have emerged recently. We hypothesize that individualized disrupted Study Design constructed single-subject for 203 patients with first-episode schizophrenia (FES) 131 healthy controls separately based on regional cortical thickness (CT), fractal dimension (FD), gyrification index, sulcal depth (SD) by dividing the...

10.1093/schbul/sbae218 article EN Schizophrenia Bulletin 2025-01-06
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