Zulfi Haneef

Dr. Zulfi Haneef

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Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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6 December 2013 in Epilepsia
Verified
Journal Article
Open access
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ZHZulfi Haneef
Zulfi Haneef
ALAgatha Lenartowicz
Agatha Lenartowicz
HYHsiang J. Yeh
Hsiang J. Yeh
HLHarvey S. Levin
Harvey S. Levin
JEJerome Engel
Jerome Engel
JSJohn M. Stern
John M. Stern
Summary: Objective: Temporal lobe epilepsy (TLE) affects brain areas beyond the temporal lobes due to connections of the hippocampi and other temporal lobe structures. Using functional connectivity magnetic resonance imaging (MRI), we determined the changes of hippocampal networks in TLE to assess for a more complete distribution of abnormality.Methods: Regions of interest (ROIs) were defined in the right and left hippocampi in three groups of participants: left TLE (n = 13), right TLE (n = 11), and healthy controls (n = 16). Brain regions functionally connected to these ROIs were identified by correlating resting‐state low‐frequency functional MRI (fMRI) blood oxygenation level–dependent (BOLD) signal fluctuations. The grouped results were compared using independent sample t‐test.Results: TLE was associated with increased hippocampal connectivity involving several key areas of the limbic network (temporal lobe, insula, thalamus), frontal lobes, angular gyrus, basal ganglia, brainstem, and cerebellum, along with reduced connectivity involving areas of the sensorimotor cortex (visual, somatosensory, auditory, primary motor) and the default mode network (precuneus). Left TLE had more marked connectivity changes than right TLE.Significance: The observed connectivity changes in TLE indicate dysfunctional networks that underlie widespread brain involvement in TLE. There are identifiable differences in the connectivity of the hippocampi between left and right TLE.

1 December 2020 in Seizure: European Journal of Epilepsy
Verified
Journal Article
Closed access
AAArun Raj Antony
Arun Raj Antony
ZHZulfi Haneef
Zulfi Haneef

1 November 2012 in Epilepsy & Behavior
Verified
Journal Article
Closed access
ZHZulfi Haneef
Zulfi Haneef
ALAgatha Lenartowicz
Agatha Lenartowicz
HYHsiang J. Yeh
Hsiang J. Yeh
JEJerome Engel
Jerome Engel
JSJohn M. Stern
John M. Stern

1 July 2014 in Clinical Neurophysiology
Verified
Journal Article
Closed access
SCSharon Chiang
Sharon Chiang
ZHZulfi Haneef
Zulfi Haneef

16 February 2023 in Epilepsia
Verified
Journal Article
Closed access
ZHZulfi Haneef
Zulfi Haneef
HSHenry C. Skrehot
Henry C. Skrehot

15 April 2013 in Journal of Neurotrauma
Verified
Journal Article
Closed access
ZHZulfi Haneef
Zulfi Haneef
HLHarvey S. Levin
Harvey S. Levin
JFJr James D. Frost
Jr James D. Frost
EMEli M. Mizrahi
Eli M. Mizrahi
Mild traumatic brain injury (mTBI) causes brain injury resulting in electrophysiologic abnormalities visible in electroencephalography (EEG) recordings. Quantitative EEG (qEEG) makes use of quantitative techniques to analyze EEG characteristics such as frequency, amplitude, coherence, power, phase, and symmetry over time independently or in combination. QEEG has been evaluated for its use in making a diagnosis of mTBI and assessing prognosis, including the likelihood of progressing to the postconcussive syndrome (PCS) phase. We review the EEG and qEEG changes of mTBI described in the literature. An attempt is made to separate the findings seen during the acute, subacute, and chronic phases after mTBI. Brief mention is also made of the neurobiological correlates of qEEG using neuroimaging techniques or in histopathology. Although the literature indicates the promise of qEEG in making a diagnosis and indicating prognosis of mTBI, further study is needed to corroborate and refine these methods.